32
REVIEW The Epidemiology of Clostridium difficile Infection in Japan: A Systematic Review Thomas V. Riley . Tomomi Kimura Received: December 14, 2017 / Published online: February 13, 2018 Ó The Author(s) 2018. This article is an open access publication Abstract: To increase understanding of the epi- demiology, risks, consequences and resource utilization of Clostridium difficile infection (CDI) in Japan, a systematic literature review was undertaken of relevant publications from Jan- uary 2006 to November 2017. Using the Pre- ferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and methods, 55 articles met the criteria for full review. The majority (58%) of studies were from a single site, with the most recent data from 2015. The incidence, reported prevalence and recurrence rate of CDI in Japan were 0.8–4.71/ 10,000 patient-days, 0.3–5.5/1000 patients and 3.3–27.3%, respectively, and varied according to setting, population, CDI definition and detec- tion method. Most C. difficile isolates associated with CDI in Japan were toxin A?B?, with a low level of C. difficile binary toxin-positive (CDT?) strains (0–6.8% reported across studies). The most common C. difficile PCR ribotypes associ- ated with infection in Japan were smz/018, 002, 052 and 369. Data regarding the impact of CDI on length of hospital stay were limited. Reported all-cause mortality in patients with CDI ranged from 3.4 to 15.1% between 2007 and 2013. Two studies assessed risk factors for CDI recurrence, identifying malignant disease, intensive care unit hospitalization and use of proton pump inhibitors as factors increasing the risk of initial and/or recurrent CDI. No study analyzed initial CDI treatment in relation to recurrence. More comprehensive surveillance and coordinated studies are needed to map trends, understand risk factors, and recognize the extent and impact of CDI in Japanese patients. Funding: Astellas Pharma, Inc. Plain Language Summary: Plain language summary available for this article. Keywords: Clostridium difficile infection (CDI); Epidemiology; Japan; Outcomes; Ribotype PLAIN LANGUAGE SUMMARY Clostridium difficile (C. difficile) is a bacterium that often lives without causing harm in Enhanced content To view enhanced content for this article go to http://www.medengine.com/Redeem/ 104B4F6021959470. Electronic supplementary material The online version of this article (https://doi.org/10.1007/s40121- 018-0186-1) contains supplementary material, which is available to authorized users. T. V. Riley (&) Murdoch University, Murdoch, Australia e-mail: [email protected] T. V. Riley Edith Cowan University, Joondalup, Australia T. V. Riley PathWest Laboratory Medicine, Nedlands, Australia T. Kimura Astellas Pharma, Inc., Tokyo, Japan Infect Dis Ther (2018) 7:39–70 https://doi.org/10.1007/s40121-018-0186-1

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Page 1: The Epidemiology of Clostridium difficile Infection in ... · reviewer to remove duplicates and to identify publications meeting the pre-defined inclusion and exclusion criteria

REVIEW

The Epidemiology of Clostridium difficile Infectionin Japan: A Systematic Review

Thomas V. Riley . Tomomi Kimura

Received: December 14, 2017 / Published online: February 13, 2018� The Author(s) 2018. This article is an open access publication

Abstract: To increase understanding of the epi-demiology, risks, consequences and resourceutilization of Clostridium difficile infection (CDI)in Japan, a systematic literature review wasundertaken of relevant publications from Jan-uary 2006 to November 2017. Using the Pre-ferred Reporting Items for Systematic Reviewsand Meta-Analyses (PRISMA) guidelines andmethods, 55 articles met the criteria for fullreview. The majority (58%) of studies were froma single site, with the most recent data from2015. The incidence, reported prevalence andrecurrence rate of CDI in Japan were 0.8–4.71/10,000 patient-days, 0.3–5.5/1000 patients and3.3–27.3%, respectively, and varied according to

setting, population, CDI definition and detec-tion method. Most C. difficile isolates associatedwith CDI in Japan were toxin A?B?, with a lowlevel of C. difficile binary toxin-positive (CDT?)strains (0–6.8% reported across studies). Themost common C. difficile PCR ribotypes associ-ated with infection in Japan were smz/018, 002,052 and 369. Data regarding the impact of CDIon length of hospital stay were limited. Reportedall-cause mortality in patients with CDI rangedfrom 3.4 to 15.1% between 2007 and 2013. Twostudies assessed risk factors for CDI recurrence,identifying malignant disease, intensive careunit hospitalization and use of proton pumpinhibitors as factors increasing the risk of initialand/or recurrent CDI. No study analyzed initialCDI treatment in relation to recurrence. Morecomprehensive surveillance and coordinatedstudies are needed to map trends, understandrisk factors, and recognize the extent and impactof CDI in Japanese patients.Funding: Astellas Pharma, Inc.Plain Language Summary: Plain languagesummary available for this article.

Keywords: Clostridium difficile infection (CDI);Epidemiology; Japan; Outcomes; Ribotype

PLAIN LANGUAGE SUMMARY

Clostridium difficile (C. difficile) is a bacteriumthat often lives without causing harm in

Enhanced content To view enhanced content for thisarticle go to http://www.medengine.com/Redeem/104B4F6021959470.

Electronic supplementary material The onlineversion of this article (https://doi.org/10.1007/s40121-018-0186-1) contains supplementary material, which isavailable to authorized users.

T. V. Riley (&)Murdoch University, Murdoch, Australiae-mail: [email protected]

T. V. RileyEdith Cowan University, Joondalup, Australia

T. V. RileyPathWest Laboratory Medicine, Nedlands, Australia

T. KimuraAstellas Pharma, Inc., Tokyo, Japan

Infect Dis Ther (2018) 7:39–70

https://doi.org/10.1007/s40121-018-0186-1

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people’s gut. However, when a person hasantibiotic treatment for another infection, thiscan cause an imbalance in the normal levels ofbacteria in the gut, and the C. difficile can growand replace many of the normal bacteria, caus-ing C. difficile infection (CDI). Symptomsinclude diarrhea, fever and pain. Although CDIis often mild, it can be very serious, particularlyin older people, and, if untreated, can be fatal.This review looked at studies published from2006 to 2017 to investigate patterns of CDIsickness (epidemiology) in Japan. A total of 55studies were useful for our review and showedthat, in general, CDI occurred less commonly inJapan than in Western countries. However,there was wide variation in the tests used todetect infection and the methods used toidentify specific types of C. difficile bacteriaresponsible for the infections. Because of thisvariety, there was a difference in the reliabilityof the results from the different studies, whichmade it difficult to make comparisons betweenstudies. However, there seemed to be consistentresults showing that certain types of C. difficilewere common in Japan. The studies were notable to tell us whether the types of C. difficilevaried over time. More studies that use reliablehigh-quality tests, and greater detailed analysisin Japan to map patterns of CDI over time areneeded. This would help us to understand theimportance of CDI in Japan.

INTRODUCTION

Clostridium difficile is the most common infec-tive cause of nosocomial diarrhea, implicated in20–30% of cases of antibiotic-associated diar-rhea [1, 2]. Appropriate patient care requiresrapid and accurate diagnosis to support optimalmanagement and prevent the spread of infec-tion. Furthermore, knowledge of specific riskfactors for C. difficile infection (CDI) in differentclinical settings is essential.

No national CDI surveillance system hasbeen implemented in Japan, and therefore it ischallenging to grasp the trend in epidemiologyover time using a standardized method. Areview of CDI in Asia published in 2013 foundonly a few molecular-typing studies providing

contemporary epidemiological information [3].According to a questionnaire-based survey of2537 hospitals in Japan in 2013, which hadvalid responses from 321 hospitals, CDI inci-dence varied between centers [4], and there waslittle information on the specific strains causinginfection.

There have been several important changesin CDI diagnosis and treatment in Japan. First,a new diagnostic kit detecting toxin A and Bplus ‘‘common’’ antigen (glutamate dehydro-genase; GDH) became available in April 2011.Second, oral and injectable metronidazole wereindicated for CDI in August 2012 [5] andSeptember 2014 [6], respectively, althoughunlicensed use of oral metronidazole for CDIhad occurred in Japan prior to 2012. Third, in2015, the Japanese Association for InfectiousDiseases and Japanese Society of Chemother-apy released guidelines for the treatment ofenteric infection, in which oral metronidazolewas designated as the first-line treatment forCDI [7]. Vancomycin was recommended forsevere cases and/or second and subsequentrecurrences [7].

Considering these recent changes in thediagnosis and treatment of CDI, there is agreater need to understand and update theepidemiology of CDI, the predominant strainscausing the infection, and the consequences,risks and resource utilization associated withCDI in clinical settings in Japan. This literaturereview was undertaken to summarize publishedepidemiological data on CDI in Japan fromJanuary 2006 to November 2017, to describedefinitions of CDI applied, molecular typingand diagnostic methods used, and key risk fac-tors and expected outcomes.

METHODS

The recent literature was reviewed in a system-atic fashion to identify studies and reportsrelating to the epidemiology of CDI in Japan.The Preferred Reporting Items for SystematicReviews and Meta-Analyses (PRISMA) guidelineswere used to inform search terms, and the lit-erature review process was conducted using thePRISMA Checklist and PRISMA Flow diagram.

40 Infect Dis Ther (2018) 7:39–70

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Identification

Searches of MEDLINE-PubMed and EMBASE�weremade using the following primary search terms:C.difficile infection; pseudomembranous colitis; epi-demiology; Japan. Secondary search terms were asfollows: C. difficile diarrhea; C. difficile colitis;enterocolitis; toxic megacolon; hospital-acquireddiarrhea; nosocomial diarrhea; antibiotic-associ-ated diarrhea; incidence; Japan. The publicationswere limited to the English language from 1 Jan-uary 2006 to 27 November 2017.

Selection

Identified abstracts were reviewed by a singlereviewer to remove duplicates and to identifypublications meeting the pre-defined inclusionand exclusion criteria. Inclusion criteria were:Japanese patients or human samples with CDI;observational or non-randomized interventionalstudies; cross-sectional surveys; cohort studies;case–control studies; pharmacy records or claimsdatabases; electronic registers or electronic medi-cal/health records; insurance or administrativeclaims databases studies; registry studies; prospec-tiveor retrospective studies; longitudinalor follow-upstudies; andreviews.Publicationswere includedif they reported on: CDI epidemiology (incidence/prevalence); CDI risk factors; CDI definitions;diagnostic and laboratory test methods; CDIstrains; length of hospital stay (LOS); intensive careunit admission; CDI recurrence; and mortality.There was reliance on the individual publicationsto define CDI and no minimum (discriminatory)definition was used during the selection process.Exclusion criteria were: animal studies; in vitrostudies; case reports; editorials, commentaries andletters; congress abstracts; and non-English lan-guage publications. All publications that met cri-teria for the review were obtained as full articles,reassessed and reviewed.

Quality Determination and DataExtraction

A single reviewer assessed the quality of eachpaper/study according to Oxford Centre for Evi-dence-Based Medicine – Levels of Evidence [8]

(Enhanced Supplementary Material). As most ofthe captured studies did not fall strictly within agiven category, references were also assessed by thesame individual to ensure consistent application ofthe criteria across all publications.

Data from the selected studies were extractedby a single reviewer and used to populate sum-mary tables.

Compliance with Ethics Guidelines

The analysis in this article is based on previ-ously conducted studies and does not involveany new studies of human or animal subjectsperformed by either of the authors.

RESULTS

Identification of Relevant Publications

A total of 385 potential articles were identified,of which 55 were defined as relevant, after

Fig. 1 Assessment of search results to identify key papersfor review and data extraction. Asterisk did not meetinclusion criteria in relation to study population or design(see ‘‘Selection’’). Hash did not include reports of:Clostridium difficile infection (CDI) epidemiology (inci-dence/prevalence); CDI risk factors; CDI definitions;diagnostic and laboratory test methods; CDI strains;length of hospital stay; intensive care unit admission; CDIrecurrence; or mortality. Dagger one identified article wasan erratum of a previously identified study, therefore thestudy was counted only once

Infect Dis Ther (2018) 7:39–70 41

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applying the pre-defined inclusion and exclu-sion criteria (Fig. 1). One article was an erratum[9] of a previously identified study [10], there-fore the study was counted only once. Theassigned grades of literature per relevant articleare summarized in the Enhanced Supplemen-tary Material.

Many papers were insufficiently specific: forexample, several papers reported on the valida-tion of novel C. difficile diagnostic assays orlaboratory testing methods in Japan, but didnot include clinical data. Others were excludedowing to a small sample size (n B 8), a focus onpre-clinical evaluation of CDI testing methods,or for reporting CDI contamination in non-pa-tient groups [11–15]. Several papers werereviews or editorials with limited relevance toJapanese CDI epidemiology [3, 16, 17].

Incidence and Prevalence

Twenty-four papers reported data relating to theincidence and prevalence of CDI, or to C. diffi-cile-related disease or diarrhea in Japanesecohorts (Table 1). Most reports were based onretrospective chart reviews (n = 16), eight wereprospective studies; either observational studiesor randomized controlled trials (RCTs), and onewas a systematic review and meta-analysis. Mostof the papers described and defined CDI interms of clinical diagnosis (‘diarrhea’) and lab-oratory findings (‘toxin positivity’). The papersdiffered in their approach to testing for CDI:some actively investigated C. difficile coloniza-tion across cohorts whilst others tested for C.difficile only in patients with clinical symptomssuggestive of CDI. Testing methods also varied.Because of these differences and the hetero-geneity in the patient populations examined inthe publications, including hematopoietic stemcell transplant (HSCT) patients, rheumatologypatients and those with Helicobacter pylori-posi-tive peptic ulcer, it was not possible to examinetrends over time in the incidence of CDI.

Very few papers reported incidence in termsof cases per 10,000 patient-days; most reportedobserved CDI ratios (as percentages), with CDIvariously defined, or prevalence within specificpatient subgroups or populations (Table 1).

Figure 2 depicts reported CDI incidence fromretrospective chart reviews in different patientcohorts, where CDI was defined based on diar-rhea and laboratory detection of fecal C. difficiletoxin.

A chart review of over 22,800 inpatients at asingle tertiary care center (of whom 851 weretested for C. difficile) reported on healthcare-fa-cility onset CDI, defined as diarrhea and a pos-itive toxin test (using C DIFF QUIK CHEKCOMPLETE�) [18]. The CDI prevalence was 5.5cases/1000 patients. The incidence of health-care-facility onset CDI was 3.11 cases/10,000patient-days, compared with 0.2 cases/10,000patient-days for community-onset CDI [18].The authors considered the CDI incidence(hospital- and community-onset) to be ratherlow, which they suggested may have beenattributable to the relatively low frequency oftesting for C. difficile and the relatively lowsensitivity of the EIA toxin detection method.Another large-scale outpatient study (n = 2193)reported the incidence of community-acquiredCDI as 1.4/100,000 patient-years (or 0.14/10,000 patient-years) [19], and a study of bothactively tested in- and outpatients provided anincidence of 0.8 cases/10,000 patient-days [20].A retrospective cohort study based on chart re-views at four tertiary care hospitals reported 160patients aged at least 14 years with hospital-onset CDI, as defined according to clinicalpractice guidelines, giving an incidence of 1.04/10,000 patient-days (or 1.61/1000 admissions)[21]. The low incidence of hospital-onset CDIcompared with that reported in studies fromWestern countries was suggested by the authorsto be a consequence of the different strainsprevalent in different regions, with outbreaks ofhospital-acquired CDI in Western countriesbeing attributed to highly virulent strains thatare not prevalent in Japan. The study did notexplore the strains responsible for the CDI epi-sodes at the four hospitals. The authors alsosuggested that the low frequency of CDI may bea consequence of the low frequency of testingfor C. difficile [21].

Few studies identified in our search describedmeasures to control the incidence of C. difficilein hospitals. Although not strictly an infectioncontrol measure, the prophylactic use of pre-

42 Infect Dis Ther (2018) 7:39–70

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Table1

Incidenceandprevalence

ofC.d

ifficile,and

risk

factorsassociated

withC.d

ifficileinfectionreported

inJapanese

patientpopulations

Reference

Stud

yperiod

Stud

ydesign

Patient

popu

lation

C.diffdiagno

sis(n)

C.diffdefin

ition

Incidence

Prevalence

RiskfactorsforCDI

Akahoshi

etal.

[24]

Novem

ber2007–

May

2014

Retrospective,

single-center,

chartreview

n=

308

HSC

T(n

=102

autologous;

n=

206

allogeneic)

n=

30

Occurring

median7days(range

0–36)afterHSC

Tcond

itioning

Diarrhea(C

3loosestools/

24h)

infirst100days

postHSC

T

Positive

CD

toxina

orpositive

CD

toxinplus

GDH

b

Cum

ulative

incidence6.2%

inHSC

Tpopulation

(9.2%

allogeneic;1.0%

autologous)

–AllogeneicHSC

T,totalbody

irradiation,

stem

cellsource,

acuteleukem

ia,d

urationof

neutropenia–lin

kedwith

increasedrisk

forCDI

AllogeneicHSC

T:O

RforCDI

18.6

(95%

CI2.48–1

39)

p\

0.01;duration

ofneutropeniaC

17days

infirst30

days:ORforCDI

10.4

(95%

CI2.37–4

6p\

0.01)

Daida

etal.

[31]

July2003–

Septem

ber2012

Retrospective

case–control

study

viamedicalrecord

review

from

asinglecenter

Pediatricpatients

(aged0–

19years)

admittedto

hospitalwith

cancer

(n=

51)

Matchingcase

controlswere

selected

from

patientswithout

CDIadmittedto

hospitalwithin

2months(before/

after)

admission

for

patientswithCDI

(n=

94)

n=

51TestforC.d

ifftoxins

A/B

a

Appearanceof

symptom

sC

3days

afteradmission

51/189

=26.98%

–Multivariableanalysisof

risk

factorsforhospital-acquired

CDI:youn

gerageisarisk

factor:age0–

3yearsvs.age

4–6years,OR0.13

(95%

CI

0.03–0

.59);p=

0.008,

and

vs.age

C7years,OR0.12

(95%

CI0.03–0

.45);

p=

0.002.

Prolonged

neutropeniaisarisk

factor:

OR1.11

(95%

CI

1.03–1

.20);p=

0.008.

Use

ofC

4antibioticsin

the

60days

from

diagnosisor

referencedate:OR3.55

(95%

CI1.40–9

.04);

p=

0.008

Furuichi

etal.

[32]

August2012–

March

2013

Prospective,non-

interventional

cohortto

assess

ratesof

commun

ity-

acquired

C.d

iffcolonization

(singlecenter)

n=

346children

Health

yneonates

(n=

95)and

pediatricpatients

athospital

admission

(n=

251)

0(0%)C.d

iff(asymptom

atic)

colonization

inneonates

Pediatricpopulation

without

underlying

disease:C.d

iffcolonization

21.6%

and9%

toxinpositive

colonization;

vs.w

ithun

derlying

disease

30.8%

and23.1%

(colonizationandtoxin-

positive

colonization)

Culturedfecalsamples

positive

forC.d

ifftoxin

A/B

b

Asymptom

aticCDI

9%toxin-positive

colonization

inpediatricpatients

withno

underlying

disease

23.1%

toxin-positive

colonization

inpediatrics

with

underlying

disease

–Riskfactorsfortoxin-positive

C.d

iffcolonization:

underlying

disease(O

R4.17,

95%

CI1.15–1

5.04;

p=

0.049);age

12–2

3months(O

R4.19,

95%

CI1.52–1

1.52;

p=

0.01);tube

feeding(O

R24.28,

95%

CI4.70–1

25.34;

p\

0.001);toxin-positiveC.

diff(O

R8.29,9

5%CI

1.87–3

6.84;p=

0.005)

Infect Dis Ther (2018) 7:39–70 43

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Table1

continued

Reference

Stud

yperiod

Stud

ydesign

Patient

popu

lation

C.diffdiagno

sis(n)

C.diffdefin

ition

Incidence

Prevalence

RiskfactorsforCDI

Hashimoto

etal.

[26]

Janu

ary1996–

Novem

ber2004

Retrospective

chartreview

(singlecenter)

n=

242

Living-donorliver

transplant

recipients(adult)

Diarrhea76/242;C.d

iffdiarrhea

11/242

C.d

iffdiarrhea:C

3loose

stoolson

C2

consecutivedays

and

positive

stoolcultureand

assays

fortoxinAcand

GDH

d

11/242

C.d

iffdiarrhea

=4.5%

e–

Malegend

er(O

R4.56;9

5%CI

1.02–3

3.3,

p=

0.05)and

serum

creatinine

md/

dLC

1.5(O

R16.0,95%

CI

3.85–6

8.3,

p=

0.0003)

predictedrisk

forC.d

iffdiarrhea

Intensityof

antibioticusedid

notpredictforC.d

iffdiarrhea

Hataet

al.

[62]

Novem

ber2007–

Decem

ber2012

Phase3,

multicenter,

open-labelRCT

(assessing

antibiotic

prophylaxis)

n=

579

Colorectalsurgery

(colorectalcancer

patients;elective

laparoscopic)

Rateof

C.d

iffinfection:

oral–IVprophylaxisgroup

1/289;

IVprophylaxis3/290

Positive

testforC.d

ifftoxins

inpatients

developing

enteritis/colitis/diarrhea

(assay

notdescribed)

Incidencerate

C.d

ifftoxins

inoral–IV

andIV

groups

0.3%

and1.0%

,respectively

(p=

NSbetween

oral–IVandIV

prophylaxis

groups)

5.2cases/1000

patientse

Hikone

etal.

[20]

August2011–

Septem

ber2013

Retrospective

chartreview

ofin-

andoutpatient

samples

(single

center)

n=

2193

samples

tested

forC.d

ifftoxin

In-andoutpatient

samples

tested

for

C.d

iff

107specim

enspositive

forC.

difftoxin;

76casesof

healthcare-facility

onsetCDI

Positive

C.d

ifftoxintestb

Incidencerate

0.8

cases/10,000

patient-days

30-day

and90-day

mortalityrates:

7.9%

and14.5%,

respectively

–RiskfactorsforrecurrentCDI:

malignant

disease(O

R7.98;

95%

CI1.22–5

2.2;

p=

0.03);historyof

ICU

hospitalization(O

R49.9;

95%

CI1.01–2

470;

p=

0.049)

Honda

etal.

[18]

Septem

ber2010–

August2012

Retrospective

chartreview

(singletertiary

care

center)

n=

22,863

adult

patients;and1537

C.d

ifftestsin

851

patients

Cases

ofCDIin

anon-outbreak

setting

126casesdiagnosedwithCDI

(86.5%

werehealthcare-

facilityonsetCDI)

Diarrheaandpositive

toxin

assayb

orpresence

ofpseudomem

branous

colitisf

Health

care-facility

onset

CDI:symptom

onset[

3days

from

admission

Com

mun

ity-onsetCDI:

symptom

onsetpriorto

orwithin3days

ofadmission

Health

care-facility

onsetCDI:3.11

cases/10,000

patient-days

Com

mun

ity-onset

CDI:0.2cases/

10,000

patient-

days

forCDI

attributableto

the

studyhospital

30-day

all-cause

mortalityin

CDI

cohort:15.1%

126/22,863

=5.5cases/

1000

patientse

44 Infect Dis Ther (2018) 7:39–70

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Table1

continued

Reference

Stud

yperiod

Stud

ydesign

Patient

popu

lation

C.diffdiagno

sis(n)

C.diffdefin

ition

Incidence

Prevalence

RiskfactorsforCDI

Hosokaw

aet

al.

[25]

Janu

ary2007–

Decem

ber2008

Retrospective

cohort

(singlecenter)

n=

201patients

AllogeneicHSC

Tpatients(135

unrelatedcord

blood;39

unrelated

bone

marrowand

27related

peripheralblood

stem

cell)

167/201patientstested

for

C.d

iff

17/201

diagnosedC.d

iffdiarrhea

C.diff

diarrhea

in:11/135(9%)

unrelatedcord

blood

recipients;2/39

(6%)

unrelatedBMT

recipients;

4/27

(16%

)relatedPB

STrecipients

C.d

iffdiarrhea:[

3loose

stools/24

hfor2

consecutivedays

and

positive

ELISA

forC.

difftoxinA

Cum

ulative

incidenceof

C.

diffdiarrhea

9%at

post-transplant

day100

–Totalbody

irradiation

associated

withreducedrisk

ofC.d

iffdiarrhea

C.d

iffdiarrhea

was

notacause

ofanydeath;

norecurrence

ofC.d

iffdiarrhea

after

treatm

ent

Iwam

oto

etal.

[27]

Twoperiods:March

2004–F

ebruary

2006

andApril

2008–D

ecem

ber

2008

Prospective

observational

cohort(single

center)

n=

1226

Rheum

atology

inpatients

54casesof

healthcare

associated

infectionof

which

2wereC.

diffinfection(1

patientin

each

studyperiod)

Health

care-associated

infection:

developing

[3days

afteradmission

2/1226

inrheumatology

patients(0.16%

)e

––

Iwashima

etal.

[44]

April2005–

March

2008

Retrospective

cohort

studyassessing

genotypicfeatures

ofisolates

and

clinical

characteristicsof

CDI(single

center)

n=

610subm

itted

specim

ens

Patientswithstools

foun

dpositive

for

C.d

iffcultu

re(n

=106;

ofwhich

35excluded

asasym

ptom

atic

carriersand

n=

14excluded

fornon-toxigenic

strains)

71C.d

iffinfectioncases

assessed

PCRassessmentof

toxinA

andB;ribotyping

CDI:diarrhea

orcolitis

withpositive

testforC.

difftoxinBandno

other

enteropathogenic

microorganism

s

Recurrent

CDI:recurring

within2monthsof

previous

episode

Incidenceof

CDIs

withbinary

toxin-

positive

strains

5.6%

(noted

inpatientswithnon-

severe

CDI)

Prevalence\

5CDIcases/

month

Kaneko

etal.

[30]

Janu

ary2006–A

pril

2009

Retrospective

cohort

investigatingfor

CDIduring

active

phaseof

inflammatory

boweldisease

(singlecenter)

n=

137

Activeulcerative

colitis

55/137

(40.1%

)tested

samples

wereCDIpositive

Presence

oftoxinA

antigeng

ingutlavage

40.1%

inasample

tested

forpossible

CDI

––

Kobayashi

etal.

[21]

April2012–

Septem

ber2013

Retrospective

cohort

studybasedon

chartreview

atfour

teaching

hospitalsin

Japan

Patients

aged

C14

years

withhospital-onset

CDI

n=

160withhospital-onset

CDI

According

toSH

EA/IDSA

2010

guidelines,b

ased

onpositive

CD

toxin

EIA.bHospital-o

nset

CDI:hospitalized

for

cond

itionotherthan

CDIforC

2days

1.04

casesper10,000

patient-days;1.61

casesper1000

admissions

––

Infect Dis Ther (2018) 7:39–70 45

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Table1

continued

Reference

Stud

yperiod

Stud

ydesign

Patient

popu

lation

C.diffdiagno

sis(n)

C.diffdefin

ition

Incidence

Prevalence

RiskfactorsforCDI

Kom

atsu

etal.

[22]

June

2008–

Decem

ber2013

Single-centerRCT

n=

379

Looking

atefficacyof

perioperative

synbiotics

topreventinfectious

complications

(particularly

surgicalsite

infection)

Colorectalsurgery

(laparoscopic)

0/168casesC.d

iffinfectionin

synbiotics

groupand1/194

incontrolgroup

Authorreportsuseof

synbiotics

suppressed

increasesin

potentially

pathogenicC.d

iff(detectedin

4%before

surgeryboth

groups;detected

in4%

7days

aftersurgeryin

synbioticgroupvs.1

3%control;p=

0.05

vs.d

aybefore

surgery

Gut

microbiotaassessed

byYIF-SCAN

andPC

Ranalyses

1/379colorectal

surgerypatients

(0.3%)e

––

Mizui

etal.

[37]

February

2010–

February

2011

Retrospective

studyof

risk

factorsforC.

diffdiarrhea

(singlecenter)

n=

2716

patients

givenan

injectableantibiotic

Studyalso

assessed

impact

ofprobiotics

Inpatientsgiven

antibiotics

29hadC.d

iffdiarrhea

(2687hadnon-C.diff

diarrhea)

Riskfactorsinvestigated

betweengroups

re:useof

antibioticsC

8days;enteral

nutrition;

IVhyperalim

entation;fasting,

proton

pumpinhibitorsH

2

blockers;serum

albumin

B2.9g/dL

C.d

iffdiarrhea;testsnot

defin

ed–

–RiskfactorsforC.d

iffdiarrhea

were:antibiotic

useC

8days

(OR4.071;

95%

CIC

I1.333–

12.430;

p=

0.014),IV

hyperalim

entation

(OR

3.414;

95%

CI1.469–

7.934;

p=

0.004),P

PIs(O

R3.224;

95%

CI1.421–

7.315;

p=

0.005),H

2blockers

(OR2.376;

95%

CI

1.047–

5.391;

p=

0.039)

Moriand

Aoki

[19]

Janu

ary2010–

Decem

ber2014

Retrospective

case–control,

epidem

iological,

single-centerstudy

assessingrisk

factorsforCDI

Outpatients

(1,914,011

patient-

yearsexam

ined)

CDIcases

Age-andsex-matched

controls(C.d

ifftoxin-

andcultu

re-

negative)

26patientshadcommun

ity-

acquired

CDI

Com

mun

ity-acquired

CDI:

outpatient

presentation

withdiarrhea,stool

cultu

repositive

C.d

ifftoxinassaya,h

Incidencefor

commun

ity-

acquired

CDI1.4/

100,000patient-

years

–84.6%

ofpatientswith

commun

ityacquired

CDI

hadpriorexposure

toantibiotics

Patientswithcommun

ity-

acquired

CDImorelikelyto

have

hadpriorantibiotics

(OR8.12;95%

CI2.43—

26.98)

Ogamietal.

[38]

4-year

period

(dates

notgiven)

Single-center,

retrospective

hospitalcohort

n=

463

Inpatientswith

antimicrobial

associated

diarrhea

95/463

cases(20.5%

)wereCDI

CDImanifestingas

antimicrobial-associated

diarrhea

(C3

stools/day[

48hafter-

wardadmission)and

stooltoxinpositive

(Aand/or

B)a

––

Increasedwarduseof

antimicrobialsclindamycin

(OR1.739;

95%

CI

1.050–

2.881;

p=

0.032)

andpiperacillin(O

R1.598;

95%

CI1.006–

2.539;

p=

0.047)

increasedrisk

ofCDI

46 Infect Dis Ther (2018) 7:39–70

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Table1

continued

Reference

Stud

yperiod

Stud

ydesign

Patient

popu

lation

C.diffdiagno

sis(n)

C.diffdefin

ition

Incidence

Prevalence

RiskfactorsforCDI

Oshim

aet

al.

[40]

Publishedstudies

1990–2

016

System

aticreview

and

meta-analysisof

67publishedstudies

Adults

andpediatric

(B18

years)

patientsreceiving

PPIwho

developed

acute-onset

diarrhea.A

lso,

controlgroup

n=

17,217

inthetestgroup;

n=

286,018in

thecontrol

group

Recurrent

CDIoccurred

inn=

1279;n=

5459

inthe

controlgroup

Laboratoryconfi

rmationof

C.d

iffor

clinical

defin

ition.

Nofurther

detailprovided

––

PPIuseincreasedrisk

forinitial

CDIepisode(random

effects

model,overallOR2.34,95%

CI1.94–2

.82;

p\

0.00001)

Age-stratified

subgroup

analyses:significant

associations

betweenPP

Iuse

andinitialCDIepisodein

adults(O

R2.30,9

5%CI

1.89–2

.80;

p\

0.00001)

and

pediatrics

(OR3.00,9

5%CI

1.44–6

.23;

p\

0.00001)

Roughead

etal.

[36]

2008–2

013

(insurance

database)

1996–2

014

(hospitaldataset)

Retrospective

data

from

worker

insurancedatabase

andahospitalin-/

outpatient

dataset

from

asingle

center

1.2millionpatient

recordsexam

ined

andsequence

symmetry

analysis

used

toassessPP

Iuseasrisk

factor

for

CDI

n=

310patients

received

PPIsand

oralvancom

ycin

(proxy

indicator

forCDI)

––

––

Positive

associationbetween

PPIuseandCDI(adjusted

sequence

ratioforinsurance

dataset5.40;95%

CI

2.73–8

.75andforhospital

dataset3.21;95%

CI

2.12–4

.55)

Sadahiro

etal.

[63]

May

2008–

October

2011

Prospective,single-

center

RCT

comparing

oral

antibioticsand

probiotics

pre

surgeryto

prevent

infection

n=

310

Colon

cancer

Nochange

indetectionof

C.

difftoxinacrossthree

treatm

entgroups

(probiotics;antibiotics;

control(noprobiotics

orantibiotics))

Assessm

entof

C.d

ifftoxin

(AandB)in

stool

samples

byRID

ASC

REEN

Rates

ofCDI

increasedpost-

operativelyin

all

groups

(probiotic

group,

from

2.0%

to7.0%

;antibiotic

group,

5.1%

to9.1%

;control

group,

2.1%

to10.5%)

––

Sasabuchi

etal.

[28]

July2010–M

arch

2013

Retrospective

cohort

studyusingthe

Japanese

Diagnosis

Procedure

Com

bination

database

(multicenter)

n=

15,651

receiving

prophylaxis

n=

15,651

controls

Severe

sepsisand

receivingstress

ulcerprophylaxis

within2days

ofhospitaladmission;

propensity-

matched

controls

didnotreceive

prophylaxis

Inpropensity-m

atched

cohort,

215and204casesof

CDIin

thestressulcerprophylaxis

andcontrolgroups,

respectively

Not

specified,b

utIC

D-10

codesused

forother

defin

itions.C

DIcoded

as‘com

plication’

inmedicalrecordsduring

hospitalization

1.4%

instressulcer

prophylaxisgroup

and1.3%

incontrol

(p=

0.588)

––

Infect Dis Ther (2018) 7:39–70 47

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Table1

continued

Reference

Stud

yperiod

Stud

ydesign

Patient

popu

lation

C.diffdiagno

sis(n)

C.diffdefin

ition

Incidence

Prevalence

RiskfactorsforCDI

Suzuki

etal.

[23]

April2010–M

arch

2012

Single-center

prospectivecohort

preandpost

intensiveinfection

controlmeasures

n=

80

Hospitalized

patients

–Based

onmedicalrecords

andhealthcare

resource

use

New

-onset

nosocomialC.

diff-associated

disease

C.d

iff-associated

diseasereduced

from

0.47

cases/

1000

inpatient

days

to0.11

(p\

0.001)

after

intensiveinfection

controlteam

interventions

––

Takahashi

etal.

[39]

Novem

ber2010–

October

2011

Multicenter

case–control

and

cohortstudy

n=

1026

CDI

n=

878controls

NationalHospital

Organization

cohort

Assessedfornewly

diagnosedCDIand

matched

controls

(noCDI)

93.9%

ofCDIcasesdeveloped

within48

hof

hospital

admission

GIsymptom

s,clinical

suspicionof

CDIand

positive

C.d

ifftoxins

a,h,i

from

stoolor

C.d

iffisolationfrom

stool

cultu

res,or

both

––

RiskfactorsforCDI

developm

ent:disruption

offeeding/parenteraland

enteralfeeding;first-and

second

-generationcephem

antibiotics(O

R1.44;95%

CI1.10–1

.87),third-and

fourth-generationcephem

antibiotics(O

R1.86;95%

CI1.48–2

.33),carbapenem

antibiotics(O

R1.87;95%

CI1.44–2

.42)

Com

orbidities

morecommon

inpatientswithCDI

Analysisof

924casesnoted11%

mortalitywithin30

days

ofCDIonset

Use

ofvancom

ycin

reduce

mortality(O

R0.43;95%

CI

0.25–0

.75)

PPIsandpenicillindidnot

increase

risk

forCDI

Watanabe

etal.

[64]

Janu

ary–June

2005

Multicenter,

retrospective

cohort

n=

294fecal

samples

subm

itted

forC.d

ifftesting

Hospitalized

patients

79/294

(5.5

cases/1000

beds

monthly)wereC.d

ifftoxin

A?

C.d

ifftoxintestc

5.5cases/1000

beds

monthly,assessed

forC.d

iffwere

foun

dto

beC.diff

toxinA?

––

48 Infect Dis Ther (2018) 7:39–70

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Table1

continued

Reference

Stud

yperiod

Stud

ydesign

Patient

popu

lation

C.diffdiagno

sis(n)

C.diffdefin

ition

Incidence

Prevalence

RiskfactorsforCDI

Yasun

aga

etal.

[29]

2007–2

010

Retrospective

database

review

:analysisof

factors

affectingC.d

iff-

associated

disease

andoutcom

esof

C.d

iffdiarrhea

afterGIsurgery

Japanese

Diagnosis

Procedure

Com

bination

inpatientdatabase

(multicenter)

n=

143,652

Inpatients/G

Isurgical

patients

409casesof

C.d

iffdiarrhea

(0.28%

)

Higherratesin

colorectal

surgery(0.37%

)vs.

gastrectom

y(0.21%

)and

esophagectom

y(0.25%

)(p\

0.001)

CD

enterocoliticIC

D-10

code

Rate0.28%

Riskfactorsincluded:

olderage;higher

Charlson

comorbidity

index;

longer

pre-

operativeLOS;

non-academ

iccenter

care

In-hospitalmortality

higher

inC.d

iffdiarrhea

than

innon-C.d

iffdiarrhea

(3.4%

vs.

1.6%

:OR1.83;

95%

CI1.07–3

.13,

p=

0.027)

409/143,652

=2.8/1000

patientse

Riskfactorsincluded:o

lder

age;

higherCharlsoncomorbidity

index;longer

pre-operative

LOS;

non-academ

iccenter

care

In-hospitalmortalityhigher

inC.d

iffdiarrhea

(3.4%

vs.

1.6%

innon-C.d

iffdiarrhea:

OR1.83;95%

CI1.07–3

.13;

p=

0.027)

LOSattributableto

post-

operativeC.d

iffdiarrhea

12.4

days

(95%

CI9.7–

15.0;

p\

0.001)

BMTbone

marrowtransplantation;

CIconfi

denceinterval;GDH

glutam

atedehydrogenase;GIgastrointestinal;HSC

Thematopoieticstem

celltransplantation;

IVintravenous;LOSlength

ofstay;O

Rodds

ratio;

PPIproton

pump

inhibitor;RCTrand

omized

clinicaltrial;YIF-SCAN

YakulyIntestinalFlora-SC

AN

system

aTOX

A/B

QUIK

CHEK�

bC

DIFFQUIK

CHEK

COMPL

ETE�

cUNIQ

UIC

KdCD

CHECK

eCalculatedfrom

data

availablein

thepublicationandnotstated

inthepublication

fXPE

CT

C.D

IFFtoxinA/B

gC.d

iffToxin

Atest,O

xoid

hIm

mun

oCardCD

toxinA&B

iX/pectToxin

A/B

Infect Dis Ther (2018) 7:39–70 49

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and probiotics has been suggested to maintainthe colonic microbiota and potentially reducethe development of CDI [22]. A single-centerRCT of 379 patients undergoing colorectal sur-gery evaluated the impact of perioperative syn-biotics (combination of pro- and prebiotics) onpost-surgical outcomes and fecal microbiotacomposition, finding that patients administeredsynbiotics before surgery had a lower incidenceof C. difficile in their fecal microbiota comparedwith control patients. The incidence of CDI waslow, with only one patient in the control groupdeveloping CDI, while none in the treatedgroup did so. The authors suggested a potential

role for synbiotics in suppressing overgrowth ofC. difficile after surgery [22]. The literaturesearch also identified a study reporting theimpact of infection control interventions onCDI occurrence. A medical record-based C. dif-ficile-associated disease at a single center wasreported to have an incidence of 0.47 cases/1000 inpatient days, which fell to 0.11 cases/1000 patient-days after intensive infectioncontrol intervention [23]. Infection controlmeasures included carbapenem restriction andcontinuous instruction to the ward staff oninfection control measures [23].

Some of the epidemiological reports high-lighted the incidence and prevalence of CDI inparticular patient groups (Table 1; Fig. 2). Forexample, in patients undergoing HSCT, thecumulative incidence of CDI was 6.2% for allpatients, compared with 9.2% in the allogeneicHSCT subpopulation, 1.0% in the autologousHSCT subpopulation and 9% in a cohort ofHSCT recipients who received unrelated cordblood [24, 25]. In a cohort of liver transplantpatients, CDI-associated diarrhea occurred at arate of 4.5% [26]. Among rheumatology inpa-tients, CDI was observed in 0.16% [27]; in alarge cohort of patients with sepsis, hospital-acquired CDI was observed in 1.3% of patientswithout and 1.4% with ulcer prophylaxis [28]. Aretrospective database review of over 140,000gastrointestinal (GI) surgery patients reportedCDI (ICD-10 definition) in 0.28% of the studypopulation, or a prevalence of 2.8 cases/1000patients [29]. In a smaller cohort study ofpatients with active ulcerative colitis, 40.1%tested positive for possible CDI [30]. A study ofpediatric patients with cancer who were hospi-talized at a single center reported CDI (clinicalsymptoms and positivity for toxin EIA usingTOXA/B QUIK CHEK) in 27% of the studypopulation [31]. The authors suggested that thehigh incidence of CDI compared with otherstudies of similar patient populations in non-Japanese settings may be because of the muchlonger length of stay for patients with cancer inJapan compared with other countries [31].

Among the studies that reported on possibleC. difficile colonization of patient groups was anepidemiological study of hospitalized pediatricpatients. At least 1 in 10 pediatric patients

Fig. 2 Clostridium difficile infection (defined as diarrhea/CD toxin) reported in retrospective cohorts of Japanesepatients. CRC colorectal cancer, GI gastrointestinal, HSCThematopoietic stem cell transplantation, IBD inflamma-tory bowel disease, pts patients, RA rheumatoid arthritis.Patient numbers represent those diagnosed with Clostrid-ium difficile infection

50 Infect Dis Ther (2018) 7:39–70

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harbored C. difficile asymptomatically, whilefecal cytotoxin was found in 9% of otherwisehealthy children and 23.1% of children withunderlying disease [32]. However, these find-ings should be interpreted with caution as theinclusion of patients younger than 3 years oldmay increase the likelihood that the diarrheahad a cause other than C. difficile [33].

The reviewed studies included reports of bothhospital and community patients. No paperswere identified that specifically related topatients in long-term healthcare facilities andonly one paper reported on changes in infectionover time [23]. Therefore, depending on thepatient group and methods used to define andassess CDI, the incidence varied between 0.8 and4.71/10,000 patient-days, while the prevalencewas between 0.3 and 5.5 cases/1000 patients.

Risk Factors

Known risk factors for CDI include: co- andpreviously administered broad-spectrumantibiotics; age and comorbidities; poor infec-tion-control practices; GI tract surgery; andgastric-acid suppressing agents [13, 34–36].Thirteen studies in our search, including a largedatabase study representing 40% of all adult-care hospitalizations, identified risk factors forCDI in Japanese patients, which included olderage, higher comorbidity index; gastric acid-suppressing proton pump inhibitors (PPIs); anda longer pre-operative LOS before GI surgery[19, 20, 24–26, 29, 31, 32, 36–40] (Table 1).Malignant disease and intensive care unit (ICU)stay were linked with increased risk for CDIrecurrence in in- and outpatients [20]. Six arti-cles reported on the number of days spent inhospital prior to surgery or CDI diagnosis,indicating a wide variation in inpatient staybefore diagnosis [18, 20, 29, 38, 41, 42]. Theonly study to formally compare pre-operativenumber of days in hospital for patients who didand did not develop CDI found no differencebetween the two patient groups, with a median(interquartile range) of 6 (3–14) days and 5 (3–8)days, respectively (p\0.001) [29].

Patients undergoing HSCT are recognized tobe at particular risk of infection. Allogeneic

HSCT, conditioning for HSCT, acute leukemiaand prolonged neutropenia in the first 30 daysafter HSCT may all confer an increased risk forCDI as reported in a single-center study [24]. Incontrast, it was noted that among allogeneicHSCT patients, treatment with total body irra-diation may reduce post-transplant risk of CDI[25].

A study of pediatric patients reported thattube feeding was significantly associated withhigher colonization rates by toxin-positiveC. difficile [32].

Antibiotic use was a risk factor for C. difficilediarrhea in a number of studies [19, 31, 37, 38];however, in a study of liver transplant patients,the intensity of antibiotic use (measured as useof preoperative antibiotics or the number ofantibiotics used postoperatively) was not a pre-dictor for C. difficile diarrhea [26]. Among hos-pitalized pediatric patients with cancer, use of awide variety of antibiotics (the study specified atleast four different types) in the 60 days prior toCDI diagnosis was a significant risk factor forthe development of CDI [31].

Specific Strains Responsible for CDI

A review of CDI in Asia in 2013 reported thatPCR ribotypes 027 and 078 were rare, whilevariant toxin A-/toxin B? strains of ribotype017 were common. Furthermore, in Japan,common ribotypes include 014, 002 and 001,and ribotype smz/018 has been implicated inwidespread disease [3]. The review noted that avariety of typing techniques has been used inJapan, including tcdA and tcdB detection, pulsedfield gel electrophoresis (PFGE), PCR ribotypingand slpA typing. Although molecular typinghad identified toxigenic A-B? strains, theauthors did not comment on binary (CDT)toxin assessment or C. difficile surveillance inJapan [3].

In our literature search, 16 papers providedfurther details of testing methods used in Japanand described reports on the isolates and strainsassociated with CDI in Japanese cohorts(Table 2). The methods used to detect CDI and/or detect, isolate and type C. difficile includedstool culture and C DIFF QUIK CHEK

Infect Dis Ther (2018) 7:39–70 51

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Table2

Summaryof

studiesdescribing

C.d

ifficilestrains,testmethods

andassayforbinary

toxinin

Japan

Reference

Stud

yperiod

Stud

ydesign

Patient

popu

lation

C.diffdefin

ition

Testmetho

dsIsolates

andstrains

Binarytoxin

Collin

set

al.[3]

Pre-2013

Narrative

review

andmeta-

analysisof

42cohortstudies

onC.d

iffin

Asian

coun

tries

Various

Various

InJapan:

tcdA

andtcdB

characterization,P

FGE,

PCRribotyping

andslpA

typing

Predom

inance

ofribotype

smz(018)in

pastdecade

Other

common

ribotypes:

014,

002,

001

Not

specifically

mentioned

inreview

ofJapanese

papers

Iwashima

etal.

[44]

April2005–

March

2008

Retrospective

cohortstudy

assessing

genotypic

features

ofisolates

and

clinical

characteristicsof

CDI(single

center)

n=

610subm

itted

specim

ens

Patientswithstools

foun

dpositive

forC.

diffcultu

re(n

=106;

ofwhich

35excluded

asasym

ptom

atic

carriersandn=

14excluded

fornon-

toxigenicstrains)

71CDIcasesassessed

CDIdefin

edas:diarrheaor

colitiswithtoxinB

positive

C.d

iffandno

otherenteropathogenic

microorganism

s

PCRassessmentof

toxins

AandBandribotyping

Isolates

A?B?CDT?:4/71

A?B?CDT-:58/71

A-B?CDT-:9/71

Ribotype

A?B?CDT?:2werej52;

1was

nc07109;

1was

km0403

A?B?CDT-:19

weresm

z;14

wereyok;

13werehr;1

2other

A-B?CDT-:6weretrf;2

werefr;1was

sgf

Nopredom

inantribotype

spreading;thedominant

typesweresm

z,yokandhr

(hr=

equivalent

toribotype

014)

Noribotypes027and078

foun

din

thestudy

Durationof

CDIlonger

inyokgroup(p\

0.05)

Incidenceof

CDIs

withbinary

toxin-

positive

strains5.6%

(noted

innon-severe

CDI)

52 Infect Dis Ther (2018) 7:39–70

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Table2

continued

Reference

Stud

yperiod

Stud

ydesign

Patient

popu

lation

C.diffdefin

ition

Testmetho

dsIsolates

andstrains

Binarytoxin

Katoet

al.

[43]

February

2004–

April2004

Single-centerstudy

tovalidate

efficacyof

slpA

sequence

typing

28samples

positive

fortoxinAfrom

17patientswith

C.d

iffdiarrhea

C.d

iffdiarrhea:22/28

samples

positive

bystoolcultu

re

Not

specifically

defin

ed(see

testingmethods)

Detection

oftoxinA

using

UNIQ

UIC

K

slpAsequence

typing

Allsamples

except

hj2-2

isolatewere

A?B?CDT-

(positive

fortoxinA

andtoxinB

butnegative

forbinary

toxin)

smz-1(n

=10)andsm

z-2

(n=

6)accoun

tedfor73%

strains

Strain

patternsuggested

nosocomialinfection

Yok-1,yok-2,t25–1

,hr-1and

hj2-2identifiedin

atleast1

patienteach

Binarytoxinassessed

Katoet

al.

[49]

2003–2

007

Multicenter

study

typing

C.d

iffisolates

byslpA

sequencing

160stoolsamples

from

symptom

atic

patients

(hospitalized

witha

diagnosisof

antibiotic-associated

diarrhea

orcolitis)

Not

specifically

defin

ed(see

testingmethods)

90stoolsam

plesweretyped

ofwhich

77werepositive

bycultu

reforC.d

iff

Stoolcultu

re:PC

Rfortoxins

AandB,and

CDT

PCRribotyping

andslpA

sequence

typing

Smzsequence

type

was

dominantanddetected

bycultu

reand/or

typing

in61/99stoolsamples

positive

fortoxiccultu

reand/or

direct

slpA

sequencing

(smzin

62%;

smz-01,smz-02,smz-04)

One

isolatetype

gc8

correspond

edwithPC

Rribotype

027BI/NAP1

/027);no

PCRribotype

078

foun

d

Directtyping

from

DNA

extractedfrom

stool

samples:77/90were

positive

forC.d

iffand

typing

results

agreed

with

isolated

strain

typing

slpAsubtypes

smz-01,-02

and

-04foun

din

51/86(59%

)of

stoolsamples

that

were

tcdB

-positiveC.diff

cultu

red

andin

67%

ofstoolwhere

direct

typing

couldbe

obtained

Of87

isolates,7

5(86%

)wereA?B?

and12

(14%

)were

A-B?;3A?B?

isolates

werepositive

forPC

Rdetecting

thebinary

toxin

gene

(A?B?CDT?)

Infect Dis Ther (2018) 7:39–70 53

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Table2

continued

Reference

Stud

yperiod

Stud

ydesign

Patient

popu

lation

C.diffdefin

ition

Testmetho

dsIsolates

andstrains

Binarytoxin

Kaw

ada

etal.

[47]

October

2009–January

2010

Single-centerstudy

evaluating

asinglekitfor

rapiddetection

ofGDH

and

toxinA/B

infeces(as

diagnosisof

C.

diffinfection)

60specim

ensfrom

60patientswith

antibiotic-associated

diarrhea

C.diff

cultu

rewasreference

method

C.d

iffevaluated28

inpatientsdiagnosedas

having

CDI

Evaluationof

CDIFFQUIK

CHEK

COMPL

ETE�vs.

GDH

detectionby

Immun

oCardandtoxin

A/B

detectionby

TOX

A/B

The

kithadGDH

sensitivity

100%

;specificity

93.3%;

negative

predictive

value

100%

KithadToxin

A/B

sensitivity

78.6%,specificity96.9%

comparedwithtoxigenic

cultu

re(culture

Bpositive)

The

22/23specim

ensthat

weredualpositive

for

GDH

andtoxinA/B

were

cultu

repositive

Dualn

egativesby

thekitwere

C.d

iffcultu

renegative

Not

reported

Kikkawa

etal.

[65]

Janu

ary–June

2005

Multicenter

study

lookingat

prevalence

ofA-/B?

strains

infecalsamples

subm

ittedforC.

difftests

C.d

iffisolated

in159/332specim

ens

Aspertestmethods

Culture

PCRanalysisof

toxigenic

typing

Genotypingby

PCR,

ribotyping

andPF

GE

332sample;C.d

iffisolated

from

159:

137strains

(41%

exam

ined

specim

ens

and86%

ofisolated

C.

diff)

wereA?B?;10

(3%

and6%

)wereA-B?

and

12(4%

and8%

)were

A-B-

Therefore

10(6.3%)of

159

C.d

iffstrainswereA-B?

All10

A-/B?

strainshad

identicalpatternby

PCR

ribotyping

Not

reported

54 Infect Dis Ther (2018) 7:39–70

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Table2

continued

Reference

Stud

yperiod

Stud

ydesign

Patient

popu

lation

C.diffdefin

ition

Testmetho

dsIsolates

andstrains

Binarytoxin

Kobayashi

etal.

[45]

April2008–

March

2009

Single-center

retrospective

studyto

test/validatethe

3-dayrulefor

ordering

aC.

difftoxintestin

Japanese

patients

1597

stoolcultu

res

from

992patients;

880CD

toxintests

performed

in529

patients

83speciesfrom

81specim

ensconsidered

entericpathogens

Aspertestmethods

CD

toxinby

TOX

A/B

QUIK

CHEK�

Rateof

positive

stoolcultu

rein

differentpatientgroups:

14.2%

outpatients;3.6%

inpatientB

3days;1.3%

inpatientsC

4days

RespectiveCD

toxinpositive

testrates:1.9%

outpatients;

7.1%

inpatientB

3days;

8.5%

inpatientsC

4days

The

studyvalidates

the3-day

rule:the

rulecanbe

used

toestimatethepre-test

probability

ofastool

microbiologicaltest

Not

reported

Kun

ishima

etal.

[66]

February

2003–

February

2006

Single-centerstudy

ofantimicrobial

susceptibilityof

C.d

iffisolates

Studied157C.d

iffisolates

from

patientswith

diarrhea

and

probableCDI

–Antim

icrobialsensitivityof

isolates:broth

microdilution

method

todeterm

ineMIC

sof

15drugs

Foun

dno

strainsresistantto

either

metronidazoleor

vancom

ycin

Not

reported

Kuw

ata

etal.

[46]

April2012–

March

2013

Single-centerstudy

ofmolecular

epidem

iology

and

antimicrobial

sensitivityof

C.

diffisolates

C.d

iffisolates

(n=

130)

–Toxin

genotypes;MLS

Tand

eBURST

analysis

Resultscomparedwith9

strainspreviouslyanalyzed

byPC

Rribotyping

Strainsidentifiedby

CDIFF

QUIK

CHEK

COMPL

ETE�;multiplex

PCRfortoxigenictype

95toxigenicstrains(73%

),including7A-B?CDT-

and3A?B?CDT?

(23

sequence

types)

35(27%

)non-toxigenic

strains(12sequence

types)

Sequence

type

(ST)17was

mostcommon

(21.8%

)

MLS

TandeBURST

show

ed139strainsbelonged

to7

groups

andsingletons;most

A?B?CDT-

(89/91,

98%)wereclassedinto

group1

MLS

TandeBURST

suggest

mostA?B?CDT-

strains

(including

ST17,S

T2,

ST8)

may

bederivedfrom

ST28

Thisstudyreported

aprevalence

ofA-B?CDT-

(5%)

andA?B?CDT?

(2%),which

isconsidered

low

comparedwith

MLST

studiesin

China

andSpain

Infect Dis Ther (2018) 7:39–70 55

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Table2

continued

Reference

Stud

yperiod

Stud

ydesign

Patient

popu

lation

C.diffdefin

ition

Testmetho

dsIsolates

andstrains

Binarytoxin

Mikam

oet

al.

[52]

May

2012–

May

2015

Phase3,

multicenter

(35

inJapan),

double-blin

dRCT,n

=93

CDIdiagnosedby

EIA

(97%

)and

stoolcultu

re(3%)

Adults

(C18

years)

prescribed

SOC

antibioticsforCDI

withplanned

duration

10–1

4days

Inpatients,

n=

86;C

65years,

n=

85

Diarrhea(C

3loosestools/

24h)

?positive

stool

testfortoxigenicC.d

iff

Cellcultu

recytotoxicity

assays,stool

cultu

rewith

toxigenicstrain

typing,

stoolcultu

rewithtoxin

detectionfrom

C.d

iffisolates

orcommercially

availableassays

(ELISA/

PCRwithC

94%

specificity)

54strainsidentifiedfrom

cultu

re.P

CRribotypes

were052(28%

),018

(19%

),002(15%

),369

(9%),159(6%),005(4%),

173(4%),012(2%),014

(2%),043(2%),056(2%),

103(2%),212(2%),235

(2%),254(2%),632(2%).

052isolated

from

11of

35sitesand018isolated

from

9of

35sites

Moriet

al.

[42]

12-m

onth

period

in2010

Single-center

retrospective

analysisof

stool

cultu

redatabase

tostudyextent/

reasonsfor

incorrect

diagnosisof

CDI

n=

975stoolcultu

resamples

Definitions:toxigenic

C.d

iff,C

.diff

withany

toxingene;CDI,

diarrhea

plus

atoxigenic

C.d

iffisolate

PCRassayof

toxingene

A,B

andbinary

PCRribotyping

Incidenceof

healthcare-

facilityonsetCDI(within

48h)

estimated

at1.6

cases/10,000

patient-days

The

prevalence

rate

oftoxigenicC.d

iffin

allstool

cultu

reswas

13%

(127/975)

177C.d

iffisolates

detected

ofwhich

127were

toxigenic:124(70%

)A?B?;3(1.7%)A-B?

The

mostcommon

ribotype

was

369(21.6%

),with018

(10.8%

);014/020and002

were9.9%

each

Clin

icallyim

portantisolates

such

as027and078were

notidentified

58(45.7%

)withtoxigenicC.

diffhadun

form

edstool;

incidenceof

CDIwas

1.6/

10,000

patient-days

But

ofthese58

cases,40

were

notdiagnosedin

routine

testingdueto

lack

ofclinicalsuspicion(24.1%

)or

anegative

C.d

ifftoxin

assayresult(44.8%

)

AmongA?B?,

12/177

(6.8%)were

CDT?

56 Infect Dis Ther (2018) 7:39–70

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Table2

continued

Reference

Stud

yperiod

Stud

ydesign

Patient

popu

lation

C.diffdefin

ition

Testmetho

dsIsolates

andstrains

Binarytoxin

Oka

etal.

[67]

2002–2

005

Two-center

study

ofmolecular

characterization

ofC.diff

isolates

from

single,

relapseand

recurrentcases

n=

73clinicalisolates

ofC.d

iff

(n=

20isolates

from

20singleinfections;

n=

53isolates

from

20recurrentcases)

Astestmethods

PFGEandPC

Rribotyping,

andPC

Rtoxindetection

11ribotypes

Of73

strainsstudied,

67strains(91.8%

)A?B?;2

weretoxinA-,B

?[B?]

(2.7%);4(5.4%)were

A-B-

80%

ofrelapses

werecaused

bythesamestrain

asthe

firstinfection;

20%

were

dueto

adifferentstrain

Sawabe

etal.

[50]

Novem

ber1999–

October2004

Molecular

analysis

ofC.diff

isolates

linkedwith

diarrhea

orcolitisat

asingle

center

n=

148isolates

Astestmethods

PCRandPF

GEribotyping

Toxin

(A,B

andCDT)

determ

ined

byPC

R

26PC

Rribotypesam

ong148

isolates

Shift

from

predom

inant

ribotype

a(15/33;45%

in2000)to

ribotype

f(identicalto

smz)

(18/28;

64%

in2004)

PFGEallowed

furthersub-

classification:

fisolates

were

of4typesand11

subtypes

Onlyoneribotype

027

recovered

110/148(74%

)A?B?CDT-;

33/148

(22%

)A-B?CDT-;

5/148(3%)

A?B?CDT?

Infect Dis Ther (2018) 7:39–70 57

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Table2

continued

Reference

Stud

yperiod

Stud

ydesign

Patient

popu

lation

C.diffdefin

ition

Testmetho

dsIsolates

andstrains

Binarytoxin

Senohetal.

[51]

April2011–

March

2013

fornon-

outbreak

2010

and2009

outbreak

data

Multicenter

study

toassessC.d

iffisolates

inJapan

n=

120C.d

iffisolates

during

anon-

outbreak

season;

n=

18andn=

21isolates

from

hospitalsduring

outbreaks

Astestmethods

Toxin

detectionandtyping

byPC

R120outbreak

isolates:80%

wereA?B?CDT-,

15.8%

were

A-B?CDT-;4.2%

A?B?CDT?

PCR-ribotypesm

z(A?B?CDT-)accoun

ted

for34.2%

isolates

AllA-B?CDT-

isolates

werePC

Rribotype

trf

Non-outbreakisolates:Japan

ribotypessm

z(018)and

ysmz39.2%,and

Japan

ribotype

trf15.8%

Types

smz/ysmzalso

predom

inated

inoutbreaks

5binary

toxin-positive

isolates(only1was027and

1was

078)

Alltrfisolates

wereA-B?

(new

ribotype

369)

Highratesof

resistance

toantimicrobialsobserved

inthe018isolates

See‘Isolates

and

strains’

Shim

izu

etal.

[41]

April2013–

March

2014

Studyto

evaluate

differencesin

diseaseseverity

scoreaccording

totoxigenic

cultu

retesting

andGDH/EIA

testing(single

center)

n=

334fecalsamples

from

patientswith

diarrhea

Severe

CDIdefin

edas

pseudomem

branous

colitison

endoscopy,

admission

toIC

Uor

any

twoof

age[

60years,

temperature[

38.3�C

,serum

albumin

\2.5g/dL

,white

cell

coun

t[15,000

cells/

mm

3

Simultaneousdetectionof

GHDandtoxins

A/B

byC

DIFFQUIK

CHEK

COMPL

ETE�

252GDH-negative/EIA

toxin-negative

(i.e.n

oCDI)

82GDH-positive,of

which

25wereEIA-positive

(CDI)and57

EIA

toxin-

negative

(equivocalcases)

Whentoxins

weredetected

intheinitialscreeningtest

(GDH-positive/EIA

toxin-

positive),casesweremore

severe

than

inthoseonly

identifiedaftertoxigenic

cultu

re

58 Infect Dis Ther (2018) 7:39–70

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COMPLETE�; stool culture, PCR ribotyping andslpA sequence typing; stool culture, PCR andPFGE; and rRNA-targeted RT-qPCR and multi-plex PCR for toxin gene profiling. Reportedmethods of testing for C. difficile toxins inclu-ded: toxin A testing by Uniquick (in 2004) [43];PCR assessment for toxin A, B and CDT genes[44]; TOX A/B QUIK CHEK� [45]; and multiplexPCR [46]. Rapid detection methods evaluatedand reported in Japan include detection of GDHand toxin A/B in feces (using Immunocard� andTOX A/B, respectively) [47]; and detection ofGDH and toxin A/B simultaneously using CDIFF QUIK CHEK COMPLETE� [41]. Althoughmass spectrometry methods have also beenreported, these were not considered suitable fortyping C. difficile [48].

Our literature review (Table 2) suggests thatmost C. difficile isolates associated with infectionin Japan produce both toxins A and B. Availablestudies suggest a low prevalence of binary toxin-positive (CDT?) strains—between 0 and 6.8%reported across studies [19, 44, 46, 49–51]. A smallstudy from 2015 found that outbreak and non-outbreak isolates were predominantly smz/ysmz(by slpA typing) and that of five binary toxin-positive strains, one was ribotype 027 and one 078[51]. Individual papers appear to support theconclusion that ribotypes 027 and 078 are rare inJapan [44, 49, 50], and that smz/018, yok, 002,014and 369 (trf by slpA typing) are common[3, 42–44, 46, 49–51]. A recently published sub-study of a global RCT that isolated 54 strains oftoxigenic C. difficile (by EIA/PCR assays) from thestool cultures of93hospitalizedpatientsat35 sitesin Japan appeared to corroborate this finding [52].The most common PCR ribotypes were 052 (28%of isolates), 018 (19% of isolates), 002 (15% ofisolates) and 369 (9% of isolates), and 052 wasconsidered to be an ‘established’ strain, as it waswidely distributed across Japan. Ribotypes 027and 078 were not isolated in the substudy [52].

Recurrence

Twelve publications reported on CDI recurrence(Table 3) [18, 21, 24–26, 31, 39–42, 44], withrates in studies that included specific definitionsof recurrence ranging from 3.3% in 30 HSCT

Table2

continued

Reference

Stud

yperiod

Stud

ydesign

Patient

popu

lation

C.diffdefin

ition

Testmetho

dsIsolates

andstrains

Binarytoxin

Yuhashi

etal.

[68]

Retrospective

assessmentof

casestested

for

C.d

iffdiarrhea

(singlecenter)

n=

68

Astestmethods

EIA

testingforC.d

iffdiarrhea

(CDIFFQUIK

CHEK

COMPL

ETE�)

Patientsgroupedas

toxin-

positive

stool;toxin-

negative/toxin-positive

isolate;dualtoxinnegative

(stool

andisolate)

39toxin-positive;14

toxin-

positive

isolategroup;anda

dualtoxin-negative

stool

andisolategroupn=

15.

Allcasesconfi

rmed

tobe

GDH

positive

byEIA

Toxin-negativestool

specim

ensassociated

with

shorterdiarrhea

duration

A?B?CDT?

toxinA-positivetoxinB-positive,binary

toxinpositive

strain;A

?B?CDT-

toxinA-positive,toxinB-positive,binary

toxinnegative

strain;A

-B?CDT-

toxinA-negative,toxinB-positive,

binarytoxinnegative

strain;E

IAenzymeim

mun

oassays;GDH

glutam

atedehydrogenase;ICUintensivecareun

it;M

LST

multilocussequencetyping;PF

GEpulsed-fieldgelelectrophoresis;R

CTrand

omized

clinicaltrial;slpAsurface-layerproteinAencoding

gene;SO

Cstandard

ofcare

Infect Dis Ther (2018) 7:39–70 59

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Table3

Incidenceof,and

risk

factorsassociated

with,

C.d

ifficileinfectionrecurrence

inJapanese

patientpopulations

Reference

Patient

popu

lation

Treatmentof

initialCDI

Definition

ofrecurrence

Recurrence

Recurrencerisk

factors

Akahoshi

etal.[24]

HSC

T(n

=102

autologous;n=

206

allogeneic);n=

30

withCDI

Oralmetronidazole(500

mg

three-times

daily,1

0–14

days)

New

episodeof

diarrhea

andpositive

toxinEIA

within365days

afterfirst

episodeof

CDI

1/30

(3.3%)within

100days

afterHSC

T

NR

Daida

etal.

[31]

Pediatricpatients(aged

0–19

years)admitted

tohospitalwithcancer

Oralmetronidazole(30mg/kg)

for[

10days

untilresolution

ofsymptom

sandneutrophil

recovery

to[

500/lL

Presence

ofCDI2weeks

afterresolution

of

prim

aryCDIsymptom

s

13/51(26%

)Statisticaltestsnot

performed.R

ecurrence

morecommon

in

youn

gerage(0–3

years;

9/13,6

9%)than

older

children(19/38,5

0%)

Hashimoto

etal.[26]

Retrospective

chartreview

(single

center)of

242living

donorliver

transplant

recipients(adults)

n=

11withC.d

iffdiarrhea

Oralvancom

ycin

(n=

8;dose

notgiven)

orconservative

managem

ent(nodetailgiven)

Nodefin

itiongiven,

but

patientsassessed

from

hospitaladmission

to

3monthsaftertransplant

3/11

(27.3%

);2/8(25%

)in

patientswho

received

vancom

ycin

NR

Hikone

etal.[20]

In-andoutpatient

samples

tested

forC.

diff(n

=2193

samples)

n=

76withhealthcare-

associated

CDI

Oralmetronidazoleor

vancom

ycin

(doses

notgiven)

formedian14

days

(range

6–52

days)

New

episodeof

CDIwithin

8weeks

from

theprevious

episode;diagnosisbased

onpresence

ofdiarrhea

andpositive

toxinEIA

14/76(18.4%

)Univariateanalysis:no

risk

factorsidentified

Multivariateanalysis:

malignant

disease(O

R

7.98;95%

CI1.22–5

2.2;

p=

0.03)andIC

U

hospitalization(O

R

49.9;95%

CI

1.01–2

470;

p=

0.049)

60 Infect Dis Ther (2018) 7:39–70

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Table3

continued

Reference

Patient

popu

lation

Treatmentof

initialCDI

Definition

ofrecurrence

Recurrence

Recurrencerisk

factors

Honda

etal.[18]

CDIcasesin

anon-

outbreak

setting

n=

126withCDI

(86.5%

were

healthcare-facility

onsetCDI)

Oralmetronidazole(500

mg

three-times

daily),oral

vancom

ycin

(125

mgor

500mgfour-tim

esdaily),

combination

oral

metronidazole(500

mgthree-

times

daily)plus

vancom

ycin

(125

mgor

500mgfour-tim

es

daily),combination

oral

metronidazoleplus

rectal

vancom

ycin,com

bination

oral

andrectalvancom

ycin,o

rno

treatm

ent(stopun

necessary

antimicrobials)

New

episodeof

diarrhea

andpositive

toxinassay

within30

days

sincelast

date

ofcompleting

therapyforfirstCDI

episode

8/126(6%)

NR

Hosokaw

a

etal.[25]

AllogeneicHSC

T

patients(135

unrelatedCBT;39

unrelatedBMT

and

27relatedPB

SCT)

n=

17withC.d

iffdiarrhea

Oralmetronidazoleor

oral

vancom

ycin

(dosageand

duration

notgiven)

New

episodeof

diarrhea

andpositive

toxintest

within8weeks

after

improvem

entof

first

properlytreatedepisode

0NR

Iwashima

etal.[44]

CDIcasesin

ahospital

setting

n=

71consecutive

patientswithCDI

Noform

alregimensspecified;

3patientsreceived

treatm

ent

priorto

recurrentCDI.

Vancomycin

mentioned

(total

dose

range6–

12ggivenfor

rangeof

1–28

days)

New

CDIepisodewithin

2monthsafterrecovery

from

previous

CDI

episode

9/71

(12.7%

)NR

Infect Dis Ther (2018) 7:39–70 61

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Table3

continued

Reference

Patient

popu

lation

Treatmentof

initialCDI

Definition

ofrecurrence

Recurrence

Recurrencerisk

factors

Kobayashi

etal.[21]

Patientsaged

C14

years

withhospital-onset

CDI,n=

160

Metronidazole(n

=88,5

5%),

vancom

ycin

(n=

52,3

3%),

metronidazole?

vancom

ycin

(n=

10,6

.3%),no

antimicrobial(n

=10,6

.3%).

Dosesandduration

oftherapy

notspecified

According

toSH

EA/IDSA

2010

guidelines[69]

–re-

emergenceof

CDI

symptom

s,accordingto

infectious

disease

physician

judgment,B4weeks

aftercompletionof

treatm

entforinitialCDI

episode

23/160

(14%

)Recurrencedidnotdiffer

accordingto

severe/

non-severe

CDIor

accordingto

whether

treatm

entadhered/did

notadhere

toclinical

guidelines

Moriet

al.

[42]

Stoolcultu

redatabase

n=

58caseswithCDI

Vancomycin

ormetronidazole

(dosageandduration

not

given)

Nodefin

itiongiven,

but

recurrence

recorded

within60

days

following

symptom

onset

3/58

(5.2%)

NR

Oshim

a

etal.[40]

Adults

andpediatric

(B18

years)patients

receivingPP

Iwho

developedacute-onset

diarrhea

(n=

17,217).

Also

,control

group

(n=

286,018)

Recurrent

CDI

(reportedin

9studies)

occurred

inn=

1279;

n=

5459

inthe

controlgroup

–Not

givenin

thissystem

atic

review

andmeta-analysis

ofpublishedstudies,but

basedon

recurrence,as

reported

inpublished

studies.CDIpresence

basedon

laboratory

confi

rmationof

C.d

iffor

clinicaldefin

ition

–PP

Iuseincreasedrisk

for

recurrentCDI(pooled

OR1.73,9

5%CI

1.39–2

.15;

p=

0.02)

62 Infect Dis Ther (2018) 7:39–70

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Table3

continued

Reference

Patient

popu

lation

Treatmentof

initialCDI

Definition

ofrecurrence

Recurrence

Recurrencerisk

factors

Shim

izu

etal.

2015

[41]

Patientsin

ahospital

settingwithdiarrhea

(n=

334fecal

samples)

n=

28patientswith

severe

CDI

Metronidazole,vancomycin

(dosageandduration

not

given)

orno

treatm

ent

Nodefin

itiongivenand

duration

ofassessment

notdetailed

Overall:

7/28

(25%

);5/16

(31.3%

)in

patientswith

GDH-positive/EIA

toxin-positive

testand

2/12

(16.7%

)in

patients

withinitialGDH-

positive/EIA

toxin-

negative

test,b

utwho

hadconfi

rmed

positive

toxigeniccultu

re

Nodifference

in

incidenceof

recurrence

betweenthetwogroups

(p=

0.662)

Takahashi

etal.[39]

NationalHospital

Organizationcohort

Assessedfornewly

diagnosedCDI

(n=

878patients)and

matched

controls(no

CDI)

Metronidazole,vancomycin

(dosageandduration

not

given)

orno

treatm

ent

Nodefin

itiongiven,

but

recurrence

assessed

and

recorded

within30

days

ofinitialCDIepisode

34/714

(4.8%)am

ong

patientstreatedforCDI

NR

BMT

bone

marrow

transplantation,

CBT

cord

bloodtransplantation,

CIconfi

denceinterval,EIA

enzymeim

mun

oassays,

HSC

Thematopoietic

stem

cell

transplantation,

ICUintensivecare

unit,N

Rnotrecorded,O

Rodds

ratio,PB

SCTperipheralbloodstem

celltransplant,P

PIproton

pumpinhibitor,SH

EA/IDSA

SocietyforHealth

care

Epidemiology

ofAmericaandInfectious

Disease

Societyof

America

Infect Dis Ther (2018) 7:39–70 63

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patients [24] to 27.3% in a cohort of 11 livertransplant recipients with CDI [26]. The timeperiod over which recurrence was defined orassessed varied widely from 14 to 365 days afterthe initial CDI episode [18, 21, 24, 25, 31, 44].One retrospective chart review of 242 livertransplant recipients, 11 of whom developedCDI, reported recurrence in 2 of 8 patients whoreceived vancomycin [26]; no analysis of riskwas made in relation to the choice of treatmentfor CDI. A retrospective cohort study based onchart reviews of hospital-onset CDI cases at fourteaching hospitals found that neither theseverity of CDI nor adherence to clinical prac-tice guidelines affected the risk of CDI recur-rence [21]. In a retrospective study, multivariateanalysis identified malignant disease (p = 0.03)and ICU hospitalization (p = 0.049) as risk fac-tors for CDI recurrence within 8 weeks of theprevious CDI episode [20]. A systematic reviewand meta-analysis of published studies reportedthat use of PPIs was significantly associated withrecurrent CDI (pooled OR 1.73, 95% CI1.39–2.15; p = 0.02) (Table 3) [40].

Healthcare Utilization

A large retrospective chart review of 22,863patients by Honda et al. reported a median LOSamong 126 CDI cases of 41.5 days (17.5 daysbefore and 18 days post-CDI diagnosis) [18]. Thesparsity of available LOS data did not allow anyanalysis of trends for CDI-related LOS over theyears examined. The adjusted attributable LOSand costs related to CDI were reported from onelarge database study of 143,652 hospitalizedpatients [29]. There were 409 cases of CDI withthe infection contributing to a LOS increase of12.4 days (95% CI 9.7–15.0; p\0.001) and a costincrease of US$6576 (95% CI 3753–9398;p\0.001) compared with control patients whodid not develop CDI. However, of note, thisstudy included patients who had undergonespecific surgical procedures and had CDI identi-fied using diagnostic codes rather than by diag-nostic tests [29], which could potentially lead toinaccurate identification of CDI.

Cases of CDI may require patient transfer tothe ICU. The study by Honda et al. found that

9.5% of 126 CDI cases needed ICU admission[18]. There were 65 (51.6%) patients who wereclassified as having severe CDI, using theseverity assessment score developed by Zar et al.[53]; three patients (2.4%) underwent CDI-re-lated colectomy/diverting loop ileostomybecause of critical illness or failure of medicaltherapy. Another retrospective chart reviewbased on stool samples from in- and outpatientsat a single hospital identified 76 patients withhospital-onset CDI, with three (3.9%) casesrequiring ICU care [20].

Mortality

All-cause mortality within 30 days ranged from3.4 to 15.1% [18, 20, 21, 29, 39]. Honda et al.reported that mortality was associated with anincreased Zar severity score [18]. Of note, theZar severity criteria will score a patient 1 point(2 points are defined as severe CDI) based onlyon age 60 years or older [53], and the medianage of patients in the Honda et al. study was78 years [18]. A multicenter retrospective cohortstudy of 160 hospitalized patients with CDIreported 30-day all-cause mortality of 13%, andfound no significant difference between themortality rate among patients with severe andnon-severe CDI, or among those whose treat-ment adhered and did not adhere to clinicalpractice guidelines [21]. At 90 days, all-causemortality among CDI cases was reported as14.5% in one retrospective chart review [20].Hosokawa et al. [25] concluded that, amongpatients who underwent unrelated cord bloodtransplantation, overall survival at 2 years wasno different for those who developed CDI thanfor those who did not (42 vs. 46%, respectively;p = 0.77). One database study demonstratedthat inpatient mortality was significantly higherin CDI patients than in those without CDI (3.4vs. 1.6%; p = 0.008) [29], although the results ofthis study should be viewed with caution owingto the reliance on recorded diagnoses of CDIfrom administrative databases (which are lesswell validated than those in prospective cohortsor registries, for example), the inclusion of onlypatients undergoing GI surgery, and the loss ofmany patients from the propensity score-

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matched analysis. The use of vancomycin wasassociated with reduced mortality (OR 0.43;95% CI 0.25–0.75) in a multicenter, case–con-trol and cohort study of 1026 CDI patients [39].

DISCUSSION

This systematic literature review identified 55papers providing insights into the rates of CDI,patient groups affected and impact of CDI inJapan. Most of the studies were retrospectivedata reviews, and many focused on patientswith suspected CDI, and the rates and preva-lence of CDI in those groups. Fewer studiesreported overall rates of hospital- and commu-nity-acquired CDI. Nevertheless, the currentliterature suggests that hospital-onset CDI inJapan occurs at an incidence of 0.8–4.7 cases/10,000 patient-days; lower than that reported inEurope for winter 2012–2013 (country range0.7–28.7/10,000 patient bed-days), and similarto the US for hospital-onset CDI in 2013 (6.0/10,000 patient-days for laboratory-identifiedCDI and 4.4/10,000 patient-days for traditionalsurveillance-detected CDI) [54, 55]. However,direct comparisons between studies are difficultowing to differences in design, population sizeand detection methods used. The prevalence ofCDI in Japan (0.3–5.5/1000 patient admissions)was lower than that in a US Veterans HealthAdministration (VHA) report from 2014, whichrecorded that from October 2010 to June 2012,CDI prevalence at admission was between 5.3and 6.9/1000 admissions, in settings where 50%of hospitals used nucleic acid amplification tests[56]. An analysis of US VHA data for February2012 to January 2014 reported a pooled CDIadmission prevalence rate of 0.38/100 admis-sions [57].

CDI in Japan appears to have similar epi-demiology to that in South Korea, althoughdistinct from regions of South Asia [3]. There area number of factors that contribute to theunique epidemiology of CDI in Japan. First, iftesting for CDI is not conducted, this makesdata-gathering on both the rate of testing andtest results difficult. While there is a nationalsurveillance program for infectious diseases inJapan, there is no national C. difficile screening

program. Methods of testing are also animportant consideration. Indeed, datasets fromCDI surveillance programs highlight thatcountry-to-country variations in CDI incidencelargely reflect differences in surveillance meth-ods and how rigorously CDI is investigated intesting strategies [54]. This literature reviewhighlights that testing, typing and laboratorymethods for assessment and diagnosis of CDIhave evolved in Japan in recent years, with newmethods continuing to be evaluated againstestablished methods. However, some authorshave noted that many reports of CDI epidemi-ology in Japan have relied on insensitive testingmethods, such as EIA toxin tests [16]. Whilemore sensitive nucleic acid amplification testsare recommended in clinical practice guidelinesfor the detection of C. difficile [7], these are notyet subject to reimbursement in Japan and aretherefore not widely used, thus reliance on EIAremains common in clinical practice. It couldbe argued that a low detection frequency, asseen for CDI toxin tests in stool samples, may infact reflect a low disease burden, as demon-strated by Shimizu et al., who reported thatpatients with positive EIA toxin tests in stoolshad more severe CDI than those patients withnegative stool toxin tests who then had positivecultures [41]. It is recognized that CDI is under-diagnosed in many regions and countriesbecause of a combination of absence of clinicalsuspicion and suboptimal laboratory diagnos-tics [54]. This may also be the case in Japan,although no papers in this search specificallyfocused on reporting under-diagnosed or mis-sed CDI cases.

Increased LOS is both a risk factor for, and anoutcome of, CDI [29]. A notable factor in Japanis the general tendency for a longer LOS com-pared with many other countries, which mayhave an impact on, and thus affect, CDI risk andrates [58]. Incidence of CDI is typically pre-sented as per patient-days (i.e. patient-bed daysor inpatient days) and it is important tounderstand the differences in overall LOS indifferent geographic regions when comparingincidence data. National statistics from Japanshow that in 2014 mean LOS was 31.9 days forall patients and 41.7 days in those C 65 years[59], whereas the comparable 2014 statistics

Infect Dis Ther (2018) 7:39–70 65

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from the USA were 4.6 days for all patients (notrestricted to those with CDI), 5.2 days forpatients aged 65–74 years and 5.3 days for thoseaged 75 years and over [60]. This suggests that iffollow up was similar between nations, roughlyeight times more patients would be included inthe US study compared with a Japanese study toyield 10,000 patient-days as the denominator.Given the lengthy LOS in Japan, as in studiesfrom other countries, rates of, and risks for, CDIin Japanese patients are increased by factorssuch as older age, presence of comorbidities,certain clinical/surgical procedures and expo-sure to drug therapies, including antibiotics [1].We found that CDI recurrence similarlydepended on a variety of factors, includingclinical circumstances and settings, rangingfrom 3.3% in HSCT patients [24] to 27.3% inliver transplant patients [26]. We found veryfew data on risk factors for CDI recurrence, suchas the choice of treatment for initial CDI. Onestudy identified malignant disease and ICUhospitalization as risk factors for CDI recurrence[20], although the broad CIs cited for both(Table 3) suggest that analysis of risk factors in alarger population is required. As previouslyestablished [1], one systematic review and meta-analysis identified in our review revealed astrong association between PPI use and the riskfor initial and recurrent CDI in both adults andchildren [40].

Most CDI cases in Japan are caused by strainsof C. difficile that produce both toxins A and B.Recent reviews of CDI in Asia, which are sup-ported by our literature review, showed thatribotype smz/18 (or 018) predominates in Japan[3] and that ribotype trf/369 is gaining promi-nence in the country [61]. Several of the studieswe reviewed confirmed a low prevalence ofribotypes 027 and 078 in Japan. It has beenpostulated that the low prevalence of thesehighly virulent strains that cause sporadic out-breaks in Western countries may account forthe low general incidence of CDI in Japan [21].Further, we found that recent papers reportingon CDI strain and ribotype increasingly inclu-ded a binary toxin assessment, although CDT?C. difficile was rare in Japan [42, 46].

There are a number of limitations to thisreview. Most reports on CDI epidemiology in

Japan included here were based on hospitalcohort data, and were often (in 32 of 55 studies)single-site reports concerning either inpatientsor patients discharged from hospital to thecommunity. We did not find papers reportingon CDI rates in long-term care facilities,although, given the prolonged LOS reported instudies in our review, some hospitals may ‘re-place’ long-term care facilities in some instan-ces. There was a large degree of heterogeneity inrelation to the definition of initial and recurrentCDI in the studies included in our review. Thishampered our ability to evaluate the epidemi-ological data in a consistent manner andreduced the potential to draw robust conclu-sions. Although the papers reviewed spannedmore than a 10-year period, there were no datadescribing local infection changes over time.However, we did find sporadic snapshots of CDIin certain patient subgroups and cohorts. Ourreview was further limited by a lack of infor-mation relating to the rate of CDI testing andno data on community-associated CDI.

Future studies and surveillance are necessaryto gather data on the numbers and types ofpatients affected by, or at risk of, CDI in Japan.Furthermore, data on the clinical impact of CDIare important for management and resourceplanning, and to ensure optimal patient careand outcomes.

CONCLUSION

The current literature offers some insights intothe evolving epidemiology of CDI in Japan, yethighlights a number of unresolved questions.Notably, heterogeneity in the CDI definitions inthe studies we reviewed limited our ability todraw robust conclusions. With the availabilityof newer diagnostic tools and release of clinicalpractice guidelines for CDI, there is a need toundertake more comprehensive and coordi-nated studies and surveillance of both CDI casesand C. difficile isolates to map current trends,review the impact of infection control mea-sures, increase knowledge of risk factors, andmore fully understand the extent and impact ofhospital-onset CDI in Japanese patient popula-tions today.

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ACKNOWLEDGEMENTS

Funding. This analysis was initiated byAstellas Pharma, Inc. The article processingcharges were funded by Astellas Pharma, Inc.

Editorial Assistance. Editorial support tothe authors was provided by Rhian HarperOwen, Winnie McFadzean and Iona Easthopefor Cello Health MedErgy (Europe), funded byAstellas Pharma, Inc.

Authorship. All named authors meet theInternational Committee of Medical JournalEditors (ICMJE) criteria for authorship for thismanuscript, take responsibility for the integrityof the work as a whole, and have given finalapproval for the version to be published.Fidaxomicin, an Astellas product, is available insome geographical regions for the treatment ofCDI. All authors had full access to all of the datain this study and take complete responsibilityfor the integrity of the data and accuracy of thedata analysis.

Disclosures. Thomas V. Riley has receivedgrants from Cepheid, Merck, Sanofi and Otsuka.Tomomi Kimura is a full-time employee ofAstellas Pharma, Inc. (Japan).

Compliance with Ethics Guidelines. Thisarticle is based on previously conducted studiesand does not involve any new studies of humanor animal subjects performed by either of theauthors.

Data Availability. The results of the litera-ture searches analysed during the current revieware available from the corresponding author onreasonable request.

Open Access. This article is distributedunder the terms of the Creative CommonsAttribution-NonCommercial 4.0 InternationalLicense (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommer-cial use, distribution, and reproduction in anymedium, provided you give appropriate creditto the original author(s) and the source, provide

a link to the Creative Commons license, andindicate if changes were made.

REFERENCES

1. Chakra CNA, Pepin J, Sirard S, Valiquette L. Riskfactors for recurrence, complications and mortalityin Clostridium difficile infection: a systematic review.PLoS ONE. 2014;9:e107420.

2. Rupnik M, Wilcox MH, Gerding DN. Clostridiumdifficile infection: new developments in epidemiol-ogy and pathogenesis. Nat Rev Microbiol.2009;7:526–36.

3. Collins DA, Hawkey PM, Riley TV. Epidemiology ofClostridium difficile infection in Asia. AntimicrobResist Infect Control [Internet]. 2013;2:21. http://aricjournal.biomedcentral.com/articles/10.1186/2047-2994-2-21.

4. Yamagishi Y, Mikamo H. Recent epidemiology ofClostridium difficile infection in Japan. Jpn J Anti-biot. 2015;68:345–58.

5. Shionogi & Co. Antitrichomonal agent, Flagyl�—approval for additional indication for amoebicdysentery, giardiasis, anaerobic infection andinfectious enteritis [Internet]. 2012 [cited 2017 Jun7]. http://www.shionogi.co.jp/en/company/news/2012/pmrltj0000000wim-att/e_120810-2.pdf.

6. Pfizer Inc. Acquired manufacturing and marketingapproval for anaerobic bacterial infection treatmentagent ‘‘Anemetro� IV infusion solution 500 mg’’[Internet]. 2014 [cited 2017 Jun 7]. http://www.pfizer.co.jp/pfizer/company/press/2014/2014_07_04.html.

7. Onishi K, Somoda Y, Imamura A, Iwabuchi C,Okuda MNT. JAID/JSC infection treatment guide-line 2015. Intestinal infection. Jpn J Chemother.2016;64:31–65.

8. CEBM. Oxford Centre for Evidence-based Medi-cine—Levels of Evidence (March 2009) [Internet].Cent. Evidence-Based Med. 2009 [cited 2017 Feb23]. http://www.cebm.net/oxford-centre-evidence-based-medicine-levels-evidence-march-2009/.

9. Cairns MD, Preston MD, Hall CL, Gerding DN,Hawkey PM, Kato H, et al. Correction for Cairnset al., ‘‘Comparative genome analysis and globalphylogeny of the toxin variant Clostridium difficilePCR ribotype 017 reveals the evolution of twoindependent sublineages’’. J Clin Microbiol.2017;55:1971.

Infect Dis Ther (2018) 7:39–70 67

Page 30: The Epidemiology of Clostridium difficile Infection in ... · reviewer to remove duplicates and to identify publications meeting the pre-defined inclusion and exclusion criteria

10. Cairns MD, Preston MD, Hall CL, Gerding DN,Hawkey PM, Kato H, et al. Comparative genomeanalysis and global phylogeny of the toxin variantClostridium difficile PCR ribotype 017 reveals theevolution of two independent sublineages. J ClinMicrobiol. 2017;55:865–76.

11. Nomura K, Fujimoto Y, Yamashita M, Morimoto Y,Ohshiro M, Sato K, et al. Absence of pseudomem-branes in Clostridium difficile-associated diarrhea inpatients using immunosuppression agents. Scand JGastroenterol. 2009;44:74–8.

12. Sasahara T, Ae R, Watanabe M, Kimura Y, YonekawaC, Hayashi S, et al. Contamination of healthcareworkers’ hands with bacterial spores. J Infect Che-mother. 2016;22:521–5.

13. Fujimori S. What are the effects of proton pumpinhibitors on the small intestine? World J Gas-troenterol. 2015;21:6817–9.

14. Senoh M, Kato H, Murase T, Hagiya H, Tagashira Y,Fukuda T, et al. Reverse transcription polymerasechain reaction-based method for selectivelydetecting vegetative cells of toxigenic Clostridiumdifficile. Microbiol Immunol. 2014;58:615–20.

15. Tojo M, Nagamatsu M, Hayakawa K, Mezaki K,Kirikae T, Ohmagari N. Evaluation of an automatedrapid diagnostic test for detection of Clostridiumdifficile. PLoS ONE. 2014;9:e106102.

16. Honda H, Dubberke ER. Clostridium difficile infec-tion in solid organ transplant recipients. Curr OpinInfect Dis. 2014;27:336–41.

17. Arimoto J, Horita N, Kato S. Diagnostic test accu-racy of glutamate dehydrogenase for Clostridiumdifficile: systematic review and meta-analysis. SciRep. 2016;6:29754.

18. Honda H, Yamazaki A, Sato Y, Dubberke ER. Inci-dence and mortality associated with Clostridiumdifficile infection at a Japanese tertiary care center.Anaerobe. 2014;25:5–10.

19. Mori N, Aoki Y. Clinical characteristics and riskfactors for community-acquired Clostridium difficileinfection: a retrospective, case-control study in atertiary care hospital in Japan. J Infect Chemother.2015;21:864–7.

20. Hikone M, Ainoda Y, Tago S, Fujita T, Hirai Y,Takeuchi K, et al. Risk factors for recurrent hospital-acquired Clostridium difficile infection in a Japaneseuniversity hospital. Clin Exp Gastroenterol.2015;8:191–6.

21. Kobayashi K, Sekiya N, Ainoda Y, Kurai H, ImamuraA. Adherence to clinical practice guidelines for themanagement of Clostridium difficile infection in

Japan: a multicenter retrospective study. Eur J ClinMicrobiol Infect Dis Germany. 2017;36:1947–53.

22. Komatsu S, Sakamoto E, Norimizu S, Shingu Y,Asahara T, Nomoto K, et al. Efficacy of perioperativesynbiotics treatment for the prevention of surgicalsite infection after laparoscopic colorectal surgery: arandomized controlled trial. Surg Today.2016;46:479–90.

23. Suzuki H, Senda J, Yamashita K, Tokuda Y, Kane-saka Y, Kotaki N, et al. Impact of intensive infectioncontrol team activities on the acquisition ofmethicillin-resistant Staphylococcus aureus, drug-re-sistant Pseudomonas aeruginosa and the incidence ofClostridium difficile-associated disease. J Infect Che-mother. 2013;19:1047–52.

24. Akahoshi Y, Kimura S, Nakano H, Harada N,Kameda K, Ugai T, et al. Significance of a positiveClostridium difficile toxin test after hematopoieticstem cell transplantation. Clin Transplant.2016;30:703–8.

25. Hosokawa K, Takami A, Tsuji M, Araoka H. Relativeincidences and outcomes of Clostridium difficileinfection following transplantation of unrelatedcord blood, unrelated bone marrow, and relatedperipheral blood in adult patients: a single institutestudy. Transpl Infect Dis. 2014;16:412–20.

26. Hashimoto M, Sugawara Y, Tamura S, Kaneko J,Matsui Y, Togashi J, et al. Clostridium difficile-asso-ciated diarrhea after living donor liver transplanta-tion. World J Gastroenterol. 2007;13:2072–6.

27. Iwamoto M, Kamimura T, Nagashima T, Kamata Y,Aoki Y, Onishi S, et al. Healthcare-associatedinfections in rheumatology in Japan. RheumatolInt. 2012;32:801–4.

28. Sasabuchi Y, Matsui H, Lefor AK, Fushimi K, Yasu-naga H. Risks and benefits of stress ulcer prophy-laxis for patients with severe sepsis. Crit Care Med.2016;44:e464–9.

29. Yasunaga H, Horiguchi H, Hashimoto H, Matsuda S,Fushimi K. The burden of Clostridium difficile-asso-ciated disease following digestive tract surgery inJapan. J Hosp Infect. 2012;82:175–80.

30. Kaneko T, Matsuda R, Taguri M, Inamori M, OguraA, Miyajima E, et al. Clostridium difficile infection inpatients with ulcerative colitis: investigations ofrisk factors and efficacy of antibiotics for steroidrefractory patients. Clin Res Hepatol Gastroenterol.2011;35:315–20.

31. Daida A, Yoshihara H, Inai I, Hasegawa D, Ishida Y,Urayama KY, et al. Risk factors for hospital-acquiredClostridium difficile infection among pediatric

68 Infect Dis Ther (2018) 7:39–70

Page 31: The Epidemiology of Clostridium difficile Infection in ... · reviewer to remove duplicates and to identify publications meeting the pre-defined inclusion and exclusion criteria

patients with cancer. J Pediatr Hematol Oncol.2017;39:e167–72.

32. Furuichi M, Imajo E, Sato Y, Tanno S, Kawada M,Sato S. Characteristics of Clostridium difficile colo-nization in Japanese children. J Infect Chemother.2014;20:307–11.

33. Schutze GE, Willoughby RE. Clostridium difficileinfection in infants and children. Pediatrics.2013;131:196–200.

34. Matsumoto K, Kanazawa N, Shigemi A. Factorsaffecting treatment and recurrence of Clostridiumdifficile infections. Biol Pharm Bull.2014;37:1811–5.

35. Janarthanan S, Ditah I, Adler DG, Ehrinpreis MN.Clostridium difficile-associated diarrhea and protonpump inhibitor therapy: a meta-analysis. Am JGastroenterol. 2012;107:1001–10.

36. Roughead EE, Chan EW, Choi N-K, Griffiths J, JinX-M, Lee J, et al. Proton pump inhibitors and risk ofClostridium difficile infection: a multi-country studyusing sequence symmetry analysis. Expert OpinDrug Saf Engl. 2016;15:1589–95.

37. Mizui T, Teramachi H, Tachi T, Tamura K, Shiga H,Komada N, et al. Risk factors for Clostridium difficile-associated diarrhea and the effectiveness of prophy-lactic probiotic therapy. Pharmazie. 2013;68:706–10.

38. Ogami N, Yoshida J, Ishimaru T, Kikuchi T, Mat-subara N, Ueno T, et al. Is Clostridium difficileinfection influenced by antimicrobial use density inwards? Jpn J Antibiot. 2013;66:87–95.

39. Takahashi M, Mori N, Bito S. Multi-institution case-control and cohort study of risk factors for thedevelopment and mortality of Clostridium difficileinfections in Japan. BMJ Open. 2014;4:e005665.

40. Oshima T, Wu L, Li M, Fukui H, Watari J, Miwa H.Magnitude and direction of the associationbetween Clostridium difficile infection and protonpump inhibitors in adults and pediatric patients: asystematic review and meta-analysis. J Gastroen-terol Jpn. 2018;53:84–94.

41. Shimizu H, Mori M, Yoshimoto N. Clostridium dif-ficile infection is more severe when toxin is detectedin the stool than when detected only by a toxigenicculture. Intern Med. 2015;54:2155–9.

42. Mori N, Yoshizawa S, Saga T, Ishii Y, Murakami H,Iwata M, et al. Incorrect diagnosis of Clostridiumdifficile infection in a university hospital in Japan.J Infect Chemother. 2015;21:718–22.

43. Kato H, Kato H, Nakamura M, Iwashima Y, Naka-mura A, Ueda R. Rapid analysis of Clostridium

difficile strains recovered from hospitalized patientsby using the slpA sequence typing system. J InfectChemother. 2009;15:199–202.

44. Iwashima Y, Nakamura A, Kato HH, Kato HH,Wakimoto Y, Wakiyama N, et al. A retrospectivestudy of the epidemiology of Clostridium difficileinfection at a University Hospital in Japan: geno-typic features of the isolates and clinical character-istics of the patients. J Infect Chemother.2010;16:329–33.

45. Kobayashi M, Sako A, Ogami T, Nishimura S,Asayama N, Yada T, et al. Validation of the 3-dayrule for stool bacterial tests in Japan. Intern Med.2014;53:533–9.

46. Kuwata Y, Tanimoto S, Sawabe E. Molecular epi-demiology and antimicrobial susceptibility ofClostridium difficile isolated from a universityteaching hospital in Japan. Eur J Clin MicrobiolInfect Dis. 2015;34:763–72.

47. Kawada M, Annaka M, Kato H. Evaluation of asimultaneous detection kit for the glutamatedehydrogenase antigen and toxin A/B in feces fordiagnosis of Clostridium difficile infection. J InfectChemother. 2011;17:807–11.

48. Kiyosuke M, Kibe Y, Oho M. Comparison of twotypes of matrix-assisted laser desorption/ionizationtime-of-flight mass spectrometer for the identifica-tion and typing of Clostridium difficile. J MedMicrobiol. 2015;64:1144–50.

49. Kato H, Kato H, Ito Y, Akahane T, Izumida S,Yokoyama T, et al. Typing of Clostridium difficileisolates endemic in Japan by sequencing of slpAand its application to direct typing. J Med Micro-biol. 2010;59:556–62.

50. Sawabe E, Kato H, Osawa K, Chida T, Tojo N, Ara-kawa Y, et al. Molecular analysis of Clostridium dif-ficile at a university teaching hospital in Japan: ashift in the predominant type over a five-year per-iod. Eur J Clin Microbiol Infect Dis.2007;26:695–703.

51. Senoh M, Kato H, Fukuda T, Niikawa A, Hori Y,Hagiya H, et al. Predominance of PCR-ribotypes,018 (smz) and 369 (trf) of Clostridium difficile inJapan: a potential relationship with other globalcirculating strains? J Med Microbiol.2015;64:1226–36.

52. Mikamo H, Aoyama N, Sawata M, Fujimoto G, DorrMB, Yoshinari T. The effect of bezlotoxumab forprevention of recurrent Clostridium difficile infec-tion (CDI) in Japanese patients. J Infect Chemother.2018;24:123–9.

Infect Dis Ther (2018) 7:39–70 69

Page 32: The Epidemiology of Clostridium difficile Infection in ... · reviewer to remove duplicates and to identify publications meeting the pre-defined inclusion and exclusion criteria

53. Zar FA, Bakkanagari SR, Moorthi KMLST, Davis MB.A comparison of vancomycin and metronidazolefor the treatment of Clostridium difficile-associateddiarrhea, stratified by disease severity. Clin InfectDis [Internet]. 2007;45:302–7. http://www.ncbi.nlm.nih.gov/pubmed/17599306.

54. Davies KA, Longshaw CM, Davis GL, Bouza E, Bar-but F, Barna Z, et al. Underdiagnosis of Clostridiumdifficile across Europe: the European, multicentre,prospective, biannual, point-prevalence study ofClostridium difficile infection in hospitalisedpatients with diarrhoea (EUCLID). Lancet InfectDis. 2014;14:1208–19.

55. Durkin MJ, Baker AW, Dicks KV, Lewis SS, Chen LF,Anderson DJ, et al. A comparison between NationalHealthcare Safety Network laboratory-identifiedevent reporting versus traditional surveillance forClostridium difficile infection. Infect Control HospEpidemiol. 2015;36:125–31.

56. Evans ME, Simbartl LA, Kralovic SM, Jain R, RoselleGA. Clostridium difficile infections in VeteransHealth Administration acute care facilities. InfectControl Hosp Epidemiol. 2014;35:1037–42.

57. Reeves JS, Evans ME, Simbartl LA, Kralovic SM,Kelly AA, Jain R, et al. Clostridium difficile infectionsin veterans health administration long-term carefacilities. Infect Control Hosp Epidemiol. [Internet].2016 [cited 2017 Feb 23];37:295–300. http://www.ncbi.nlm.nih.gov/pubmed/26686361.

58. Organisation for Economic Co-operation andDevelopment. Length of hospital stay [Internet].2016 [cited 2017 Jun 26]. https://data.oecd.org/healthcare/length-of-hospital-stay.htm.

59. Ministry of Health Labour and Welfare. Summaryof patient survey 2014. [Internet]. 2015 [cited 2017Jul 24]. http://www.mhlw.go.jp/english/database/db-hss/dl/sps_2014_03.pdf.

60. Agency for Healthcare Research and Quality(AHRQ). HCUP fast stats—trends in inpatient stays2005-2014 [Internet]. 2014 [cited 2017 Jul 24].https://www.hcup-us.ahrq.gov/faststats/NationalTrendsServlet.

61. Collins DA. Epidemiology of Clostridium difficileinfection in the Asia-Pacific region [Internet]. TheUniversity of Western Australia; 2016. http://research-repository.uwa.edu.au/files/11692621/

THESIS_DOCTOR_OF_PHILOSOPHY_COLLINS_Deirdre_Anne_2016.pdf.

62. Hata H, Yamaguchi T, Hasegawa S, Nomura A, HidaK. Oral and parenteral versus parenteral antibioticprophylaxis in elective laparoscopic colorectal sur-gery (JMTO PREV 07-01): a phase 3, multicenter,open-label. Random Trial Ann Surg.2016;263:1085–91.

63. Sadahiro S, Suzuki T, Tanaka A, Okada K, Kamata H,Ozaki T, et al. Comparison between oral antibioticsand probiotics as bowel preparation for electivecolon cancer surgery to prevent infection:prospective randomized trial. Surgery.2014;155:493–503.

64. Watanabe M, Hitomi S, Sawahata T. Nosocomialdiarrhea caused by Clostridium perfringens in theTsukuba-Tsuchiura district. Jpn J Infect Chemother.2008;14:228–31.

65. Kikkawa H, Hitomi S, Watanabe M. Prevalence oftoxin A-nonproducing/toxin-B-producing Clostrid-ium difficile in the Tsukuba-Tsuchiura district. Jpn JInfect Chemother. 2007;13:35–8.

66. Kunishima H, Chiba J, Saito M, Honda Y, Kaku M.Antimicrobial susceptibilities of Clostridium difficileisolated in Japan. J Infect Chemother.2013;19:360–2.

67. Oka K, Osaki T, Hanawa T, Kurata S, Okazaki M,Manzoku T. Molecular and microbiological char-acterization of Clostridium difficile isolates fromsingle, relapse, and reinfection cases. J Clin Micro-biol. 2012;50:915–21.

68. Yuhashi K, Yagihara Y, Misawa Y, Sato T, Saito R,Okugawa S, et al. Diagnosing Clostridium difficile-associated diarrhea using enzyme immunoassay:the clinical significance of toxin negativity in glu-tamate dehydrogenase-positive patients. InfectDrug Resist. 2016;27:93–9.

69. Cohen SH, Gerding DN, Johnson S, Kelly CP, LooVG, McDonald LC, et al. Clinical practice guideli-nes for Clostridium difficile infection in adults: 2010update by the society for healthcare epidemiologyof America (SHEA) and the infectious diseasessociety of America (IDSA). Infect Control HospEpidemiol. 2010;31:431–55.

70 Infect Dis Ther (2018) 7:39–70