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HOW TO MERGE AND COMPARE COHORT STUDIES - CRIC & CKD-JAC - Naohiko Fujii Hyogo Prefectural Nishinomiya Hospital Hyogo, JAPAN

H TO M AND C S - CRIC & CKD-JAC · data in CRIC as collected in CKD-JAC 1. Studied 150 CRIC participants and collected medical chart-based data on CVD at the time of self-report 2

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HOWTOMERGEANDCOMPARECOHORTSTUDIES-CRIC&CKD-JAC-

NaohikoFujiiHyogoPrefecturalNishinomiyaHospitalHyogo,JAPAN

THEGOALOFTHISPRESENTATION

• Toillustrateapproachestoharmonizedatafromcross-naNonalcohortstudies

• Iwillusetheexampleofphosphatemetabolismstudies.

CHALLENGESOFINTEGRATINGDATAACROSSCOHORTS

VariaNonsin:• Laboratorymeasurements• Clinicalphenotyping• Outcomeassessments• DistribuNonsofrace/ethnicity• HealthcarepracNce

CHALLENGESOFINTEGRATINGDATAACROSSCOHORTS

VariaNonsin:• Laboratorymeasurements• Clinicalphenotyping• Outcomeassessments• DistribuNonsofrace/ethnicity• HealthcarepracNce

BACKGROUND:PHOSPHATEMETABOLISMINCKD

CKD Bone abnormality Vascular calcification

Renal failure Dialysis

Hyperphophatemia Vitamin D depletion Secondary hyperparathyroidism

Cardiovascular and all-cause death

BACKGROUND:PHOSPHATEMETABOLISMINCKD

• CombiningJapaneseandUSdataexpandsopportuniNestostudytheclinicalimpactofPO4metabolism.

• WehypothesizedthatPO4metabolismdiffersbetweenJapanandtheUS.

• CKD-JACandCRICstudiesprovideinsightsintoUSandJapaneseCKDexperience.

• VariaNonsinCKD-JACandCRIC’slaboratorymeasurementsandclinicalphenotypingmustbeaddressedinanintegratedanalysis.

OVERARCHINGAIM

•  ToevaluatehowphosphatemetabolismdifferbetweenJapaneseandUSCKDpopulaNons.

CKD-JACANDCRIC

17 sites ~3000 pts

4-10 yrs (2007~JAC2)

eGFR 10-60 mL/min

     (Elderly 10-50)

11 sites ~5500 pts

>10 yrs → CRIC phase IV

eGFR 20-70 mL/min

     (Elderly 20-50)

Common outcomes:CV events, deaths, eGFR, RRT, hospitalization, QOL

CONTRASTSINSTUDYDATA:LABORATORYMEASURES

CKD-JAC CRIC

Serum Phosphate Enzymatic assay (mg/dL) Phosphomolybdate (mg/dL)

PTH Intact PTH (pg/mL) Total PTH (pg/mL)

FGF23 Intact FGF23 (pg/mL) C-terminal FGF23 (RU/mL)

CONTRASTSINSTUDYDATA:CLINICALMEASURESCKD-JAC CRIC

Assessment of BMI

WPRO criteria for Asians

WHO criteria for non-Asian participants

Prior CVD Medical chart review Self-report

Diet Diet History Questionnaire for Japanese

NCI Diet History Questionnaire

Medication Medical chart review Self-report

Category BMIUnderweight <18.5

Normal 18.5 - <23.0

Overweight 23.0 - <25.0

Obese I 25.0 - <30.0

Obese II ≥30.0

Category BMIUnderweight <18.5

Normal 18.5 - <25.0

Overweight 25.0 - <30.0

Obese I 30.0 - <35.0

Obese II 35.0 - <40.0

Obese III ≥40.0

APPROACHTOHARMONIZINGLABORATORYDATA

1.   Combiningdatafromtwomeasurementsofthesameanalyte(PO4andPTH)a.   Createa“harmoniza@oncohort”

i.  Internal–smallsampleofCKD-JACorCRICparNcipants(e.g.PO4)

COMBININGDATAON2MEASUREMENTS-SAMEANALYTEINTERNALAPPROACH:SERUMPO4

CRIC CRIC internal CKD-JAC

N of subjects with serum phosphate measurement

Phosphomolybdate, mg/dL

Enzymatic Assay, mg/dL

APPROACHTOHARMONIZINGLABORATORYDATA

1.   Combiningdatafromtwomeasurementsofthesameanalyte(PO4andPTH)a.   Createa“harmoniza@oncohort”

i.  Internal–smallsampleofCRICorCKD-JACparNcipants(PO4)ii.  External–smallsetofCKDpaNentsoutsideofCRICorCKD-JAC

(PTH)

COMBININGDATAON2MEASUREMENTS-SAMEANALYTEEXTERNALAPPROACH:PTH

CRIC CKD-JAC Hyogo

N of subjects with serum phosphate measurement

Total PTH, pg/mL

Intact PTH, pg/mL

HOWTOHARMONIZETWOMEASUREMENTSOFTHESAMEANALYTES

DemingRegressionA variation of linear regression that converts one measurement to another while incorporating measurement errors for both.

GENERATINGCONVERSIONEQUATIONS

Y

X

Y

X

Ordinary Least Square Deming Regression

Measurements in CKD-JAC Measurements in CKD-JAC

Mea

sure

men

ts in

CR

IC

Mea

sure

men

ts in

CR

IC

DEMINGREGRESSION(PHOSPHATE)

Phos

phat

e in

CR

IC

Phosphate in JAC

HARMONIZINGPTH(EXTERNALAPPROACH)

Log(intact PTH in CKD-JAC, pg/mL)

Log(

tota

l PTH

in C

RIC

, pg/

mL)

APPROACHTOHARMONIZINGLABORATORYDATA

1.   Combiningdatafromtwomeasurementsofthesameanalyte(PO4andPTH)a.   Createa“harmoniza@oncohort”

i.  Internal–smallsampleofCRICorCKD-JACparNcipantsii.  External–smallsetofCKDpaNentsoutsideofCRICorCKD-JAC

2.   Combiningdatafromrelated,butdifferentanalytes(FGF23)a.  Repeat the assay for CRIC samples in CKD-JAC

lab. i.  “Full” set of CRIC samples sent to CKD-JAC lab.

COMBINING2DIFFERENTANALYTESFGF23

CRIC “Full” set of CRIC CKD-JAC

N of subjects with serum phosphate measurement

C-terminal FGF23, RU/mL

Intact FGF23, pg/mL

AFTERHARMONIZATION,THEDIFFERENCEACROSSSTUDIESINCREASED:PO4

Observed Harmonized

AFTERHARMONIZATION,THEDIFFERENCEACROSSSTUDIESAPPEARED:PTH

Observed Harmonized

HARMONIZINGCLINICALPHENOTYPING:DIETARYPHOSPHATE

CRIC NCI DHQ

CKD-JAC Japanese DHQ

NCI DHQ and Japanese DHQ do not measure the same dietary constituents. •  We used urinary PO4 excretion indexed to Ucr as a

proxy for dietary intake available in both studies

HARMONIZINGCLINICALPHENOTYPING:HISTORYOFCARDIOVASCULARDISEASE

CRIC Prior History based on self-report

CKD-JAC Prior History based on medical chart

Goal: Convert “self-report” data to “medical chart” data in CRIC as collected in CKD-JAC 1. Studied 150 CRIC participants and collected medical

chart-based data on CVD at the time of self-report 2. Used multiple imputation to create “medical chart”

CVD data for all CRIC participants

DIFFERENCEATTENUATEDFORCADBUTNOTCHF

Observed

CAD CHF

Harmonized

CHF CAD

DIFFERENCEBETWEENCRICANDCKD-JACREMAINEDAFTERDATAHARMONIZATION

•  Challenges of data harmonization across cohorts can be addressed. •  Harmonization can lead to consequential changes in study findings. •  Residual difference requires additional investigation.

THANKYOUFORYOURATTENTION