Severe Hypoglycemia and Diabetic Ketoacidosis in Adults With Type 1 Diabetes

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    Severe Hypoglycemia and Diabetic Ketoacidosis in Adults WithType 1 Diabetes: Results From the T1D Exchange Clinic Registry

    Ruth S. Weinstock,Dongyuan Xing,David M. Maahs,Aaron Michels,Michael R.

    Rickels,Anne L. Peters,Richard M. Bergenstal,Breanne Harris,Stephanie N.DuBose,Kellee M. Miller,Roy W. Beck,andfor the T1D Exchange Clinic Network

    DOI:http://dx.doi.org/10.1210/jc.2013-1589 Received: March 07, 2013Accepted: June 04, 2013Published Online: June 12, 2013

    Abstract

    Context:

    Few studies have assessed factors associated with severe hypoglycemia (SH) and diabetic ketoacidosis

    (DKA) in adults with type 1 diabetes (T1D).

    Objective:

    Our objective was to determine frequency of and factors associated with the occurrence of SH and DKA

    in adults with T1D.

    Design and Setting:

    We conducted a cross-sectional analysis from the T1D Exchange clinic registry at 70 U.S. endocrinology

    centers.

    Patients:

    Analysis included 7012 participants in the T1D Exchange clinic registry aged 26 to 93 years old with T1D

    for 2 years.

    Results:

    Higher frequencies of SH and DKA were associated with lower socioeconomic status (P< .001). SH was

    strongly associated with diabetes duration (P< .001), with 18.6% of those with diabetes 40 years having

    an event in the past 12 months. SH frequency was lowest in those with hemoglobin A1c (HbA1c) levels of

    7.0% (53 mmol/mol) to 7.5% (58 mmol/mol), being higher in those with HbA1c levels 58 mmol/mol). DKA frequency increased with higher HbA1c levels (P< .001), with

    21.0% of those with HbA1c 10.0% (86 mmol/mol) having an event in the past 12 months.

    Conclusions:

    SH and DKA are more common in those with lower socioeconomic status. DKA, most common in those

    with HbA1c 10.0% (86 mmol/mol), should be largely preventable. In contrast, SH, most frequent withdiabetes 40 years duration, cannot be abolished given the limitation of current therapies. To reduce SH

    in adults with longstanding diabetes, consideration should be given to modifying HbA1c goals, particularly

    in patients with very low HbA1c levels.

    Severe hypoglycemia (SH) and diabetic ketoacidosis (DKA) are major acute complications of type

    1 diabetes (T1D). Many studies are available concerning the prevalence of these complications in

    children and adolescents with T1D, but there is a paucity of data in adults. Although recent data are

    available from European registries (1, 2), recent U.S. data are largely from clinical trials, which may not be

    representative (3, 4). To provide current data in clinical practice settings in the United States, we used the

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    large database of the T1D Exchange clinic registry to assess the frequencies of and identify factors

    associated with SH and DKA in adults with T1D. We hypothesized that rates of DKA would be positively

    associated with hemoglobin A1c (HbA1c) and that SH would be inversely associated with HbA1c.

    Moreover, we hypothesized that rates of DKA and SH would be associated with factors such as

    socioeconomic status, age, pump use, and diabetes duration.

    Subject and methods

    The T1D Exchange Clinic Network includes 70 U.S.-based pediatric and adult endocrinology practices. A

    registry of individuals with T1D commenced enrollment in September 2010 (5). Each clinic received

    approval from an institutional review board, and informed consent was obtained according to institutional

    review board requirements. Data were collected for the registry's central database from the

    participant's medical record and by having the participant complete a comprehensive questionnaire, as

    previously described (5). This report includes data on 7012 participants enrolled at 44 of the sites through

    August 1, 2012, who were at least 26 years old and had duration of T1D of at least 2 years.

    Information on the occurrence of SH and DKA in the previous 12 months was obtained from the

    participant. Initially, SH was defined as an episode in which the assistance of another individual was

    needed or glucagon was given. However, it became apparent that the interpretation of needingassistance varied, and in some cases, glucagon was being given for mild hypoglycemia to avoid SH. As

    a result, the questionnaire was modified to change the participant-reported SH definition to be an episode

    in which hypoglycemia resulted in seizure or loss of consciousness (LOC); glucose data confirming an

    event were not collected. Participant-reported DKA was defined as the occurrence of ketoacidosis that

    resulted in overnight hospitalization. SH data were analyzed for the 4973 participants (71%) who

    completed the modified questionnaire with the seizure/LOC definition, whereas DKA data were available

    for 6796 participants (97%). In addition to participant reporting, information on the occurrence of DKA and

    SH also was collected from the clinics' medical records. Clinic-documented DKA was defined as having

    hyperglycemia and meeting all of the following criteria: 1) symptoms such as polyuria, polydipsia, nausea,

    or vomiting; 2) serum ketones or large/moderate urine ketones; 3) arterial blood pH

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    Results

    The cohort included 7012 participants 26 to 93 years old; 54% were female, and 91% were non-Hispanic

    white. Mean HbA1c (SD) was 7.7% (61 mmol/mol) 1.2% (13.1 mmol/mol). Median diabetes duration

    was 24 years (interquartile range 15 to 34 years). Characteristics were similar in the cohort with available

    DKA data (n = 6797) and those with available SH data (n = 4973) (Supplemental Table 1, published on

    The Endocrine Society's Journals Online web site athttp://jcem.endojournals.org).Severe hypoglycemia

    One or more SH events (seizure or LOC) within 12 months was reported by 11.8% of the 4973

    participants with available data. SH frequency increased with longer diabetes duration, with the 12-month

    frequency of 1 or more events being 18.6% in the 758 participants with diabetesfor 40 years (Figure 1A

    andTable 1). Although the frequency of SH increased with older age (P< .001), as can be seen inFigure

    1A, the age effect was largely explained by diabetesduration, and in the multivariate model, age was not

    a significant factor (Table 1). With respect to HbA1c levels, SH frequency was lowest with HbA1c levels

    7.0% (53 mmol/mol) to 7.5% (58 mmol/mol), with frequency being higher at levels above or below this

    range (Figure 2A andTable 1). No evidence of a difference in SH frequency was found between adults

    with HbA1c levels of 8.0% to 9.0%, 9.0% to 10.0%, and >10.0% (P> .05). There was a trend (P= .01) for

    individuals with low (

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    Figure 2.A, The 12-month frequency of severe hypoglycemia according to HbA1c level. * Mean HbA1c

    averaged over 12 months before enrollment.Pvalue obtained by categorizing HbA1c with 3 levels:

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    (tabel 2 ditaronya di bagian ini..)

    Participant-reported versus clinic-reported events

    The frequency of at least 1 DKA or SH event in the past 12 months was lower from clinic-reported data

    from medical record review compared with participant-reported data (3.6% versus 11.8% for SH and 3.2%versus 4.8% for DKA). Logistic models using clinic-reported SH and DKA events to assess associated

    factors produced results similar to the models using participant-reported events (Supplemental Tables 2

    and 3).

    Discussion

    Using the T1D Exchange clinic registry data, we determined the frequencies of SH and DKA over the past

    12 months in adults with T1D who were being treated at endocrinology practices in the United States.

    Compared with the pediatric and young adult cohort in the T1D Exchange clinic registry, the 12-month

    frequency of hypoglycemia-induced seizure/LOC in adults was higher (11.8% versus 6.1%) and DKA

    frequency was lower (4.8% versus 9.6%) (5). Higher frequencies of both SH and DKA were associatedwith lower socioeconomic status, consistent with previous reports (610).

    Our 12-month frequency of at least 1 SH episode with seizure/LOC (11.8%) is substantially higher than

    the 2.2% 6-month frequency reported for control group participants with comparable characteristics in the

    Juvenile Diabetes Research Foundation Continuous Glucose Monitoring (JDRF CGM) randomized

    clinical trial (4)and the 4.8% 12-month frequency in the Sensor-Augmented Pump Therapy for A1c

    Reduction (STAR3) trial (3)(R. Bergenstal, MD, personal communication, November 2012). This

    suggests that clinical trial data may not be an appropriate source for estimating the real-world frequency

    of SH. Most other registry and observational studies have reported SH frequency based on a definition of

    an event in which the assistance of another person was needed. If it is assumed that about one-third of

    SH events using this definition involved seizure/LOC, then the data on the 12-month SH frequency are

    similar to our SH frequency: 31.5% in the Eurodiab Prospective Complications Study (2), 36.7% in a

    Danish-English survey (7), 40.5% in a Dutch study (11), and 27% in a Swedish survey (12). The UKHypoglycemia Study Group reported an SH frequency of 22% over a 12-month period in adults with T1D

    for 15 years (13). It is difficult to compare our SH frequency

    with that of certain other studies such as the Diabetes Control and Complications Trial (DCCT) due to

    differences in populations, SH definition, and reporting metrics (eg, frequency of 1 or more events versus

    rate per 100 000 person-years).

    Individuals with longstanding diabetes were at greatest risk for SH irrespective of age, with almost 1 in 5

    of those with duration of 40 or more years reporting hypoglycemia-induced seizure/LOC within the

    previous 12 months. Based on the work of Cryer (14)and others, it is likely that the increased risk with

    longer duration is related to the loss of endogenous insulin secretion (C-peptide negative) removing any

    autoregulatory capability to reduce excessive insulin, a greater prevalence of defective glucose

    counterregulation with hypoglycemic unawareness including a reduced plasma glucagon response to

    hypoglycemia, and loss of the epinephrine response to hypoglycemia (hypoglycemia-associated

    autonomic failure). Impairments related to chronic diabetes-related complications and other comorbidities

    also could be contributing factors. We did not find an association between SH and gender in contrast with

    the JDRF CGM randomized trial and the Diabetes Control and Complications Trial (DCCT), which found a

    higher SH rate in females (15).

    The lowest SH frequency was seen in those with HbA1c levels in the range of 7.0% (53 mmol/mol) to

    7.5% (58 mmol/mol), with the frequency being higher in those with HbA1c levels 58 mmol/mol). These data support the contention that hypoglycemia is an important barrier

    for the achievement of near-normal glycemic control in T1D. There was a suggestion in the data that SH

    frequency might be higher in those who are the most insulin sensitive (based upon lower insulin

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    requirements), but there was not an association between SH and BMI. This suggests that the ability to

    achieve glycemic targets varies in people with T1D. This may be related to differences in C-peptide

    status, insulin sensitivity (independent of obesity), and/or varying capacities to secrete glucagon and

    other factors. These data suggest that the avoidance of SH requires setting individualized flexible

    glycemic targets, with caution in recommending a goal HbA1c of

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    longstanding diabetes, given the limitation of current therapies, consideration should be given to

    modifying HbA1c goals, particularly in patients with very low HbA1c levels and SH. In addition to

    hypoglycemic risk, the decision to raise the target HbA1c should take into consideration age, self-care

    capacities, presence of comorbidities including vascular complications, and life expectancy.

    Abbreviations:BMI body mass index

    DKA diabetic ketoacidosis

    HbA1c hemoglobin A1c

    JDRF CGM Juvenile Diabetes Research Foundation Continuous Glucose Monitoring

    LOC loss of consciousness

    SH severe hypoglycemia

    T1D type 1 diabetes.

    Acknowledgments

    We acknowledge the patients who chose to participate in this registry and the T1D Exchange Clinic

    Network investigators and coordinators for their hard work and dedication. A listing of clinical sites,investigators, and coordinators participating in the clinic registry is located in the Supplemental Appendix.

    The T1D Exchange Clinic Network is funded through a grant provided by the Leona M. and Harry B.

    Helmsley Charitable Trust. The Helmsley Trust had no role in the study design; collection, analysis, and

    interpretation of data; writing of this report; or the decision to submit the report for publication.

    R.S.W. initiated the idea for the manuscript, researched data, contributed to discussion, wrote the

    manuscript, and reviewed/edited the manuscript. D.X. researched data, contributed to discussion, and

    wrote the manuscript. A.M. contributed to discussion and reviewed/edited the manuscript. M.R.

    contributed to discussion and reviewed/edited the manuscript. A.P. contributed to discussion and

    reviewed/edited the manuscript. R.M.B. contributed to discussion and reviewed/edited the manuscript.

    B.H. contributed to discussion and reviewed/edited the manuscript. S.D. researched data, contributed to

    discussion, and wrote the manuscript. K.M. researched data, contributed to discussion, and

    reviewed/edited the manuscript. R.W.B. contributed to discussion and reviewed/edited the manuscript.R.W.B. is the guarantor of this work and, as such, had full access to all the data in the study and takes

    responsibility for the integrity of the data and accuracy of the data analysis.

    Disclosure Summary: D.X., B.H., S.D., and K.M. have no disclosures. R.S.W.'s nonprofit employer has

    received grant money as the site for multicenter clinical trials sponsored by Eli Lilly, Medtronic, Astra-

    Zeneca, GlaxoSmithKline, and Johnson & Johnson. D.M.'s nonprofit employer has received research

    grants from Eli Lilly, Abbott, and Diabetes Care. A.M.'s nonprofit employer has received a research grant

    from Novartis. M.R. has received consultancy fees from Longevity Biotech. A.P.'s nonprofit employer has

    received research grants from Sanofi; consultancy fees from Eli Lilly, Roche, Janssen, Amylim, and

    Sanofi; and payment for lectures from Amylin, Abbott, Eli Lilly, NovoNordisk, Takeda, and Dexcom.

    R.M.B. has served on a scientific advisory board, consulted or performed clinical research with

    Abbott Diabetes Care, Amylin, Bayer, Becton Dickinson, Boehringer Ingelheim, Intuity, Calibra, DexCom,

    Eli Lilly, Halozyme, Helmsley Trust, Hygieia, Johnson & Johnson, Medtronic, Merck, National Institutes ofHealth, Novo Nordisk, ResMed, Roche, Sanofi, and Takeda. His employer, Park Nicollet, has contracts

    with the listed companies for his services, and no personal income goes to R.M.B. He has inherited Merck

    stock and has been a volunteer officer of the American Diabetes Association. R.W.B.'s nonprofit employer

    has received consultant payments on his behalf from Sanofi and Animas and a research grant from

    NovoNordisk with no personal compensation to R.W.B.

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