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Liver function tests and risk prediction of incident type 2 diabetes: evaluation in two independent cohorts.

Authors :
Ali Abbasi
Stephan J L Bakker
Eva Corpeleijn
Daphne L van der A
Ron T Gansevoort
Rijk O B Gans
Linda M Peelen
Yvonne T van der Schouw
Ronald P Stolk
Gerjan Navis
Annemieke M W Spijkerman
Joline W J Beulens
Source :
PLoS ONE, Vol 7, Iss 12, p e51496 (2012)
Publication Year :
2012
Publisher :
Public Library of Science (PLoS), 2012.

Abstract

BACKGROUND: Liver function tests might predict the risk of type 2 diabetes. An independent study evaluating utility of these markers compared with an existing prediction model is yet lacking. METHODS AND FINDINGS: We performed a case-cohort study, including random subcohort (6.5%) from 38,379 participants with 924 incident diabetes cases (the Dutch contribution to the European Prospective Investigation Into Cancer and Nutrition, EPIC-NL, the Netherlands), and another population-based cohort study including 7,952 participants with 503 incident cases (the Prevention of Renal and Vascular End-stage Disease, PREVEND, Groningen, the Netherlands). We examined predictive value of combination of the Liver function tests (gamma-glutamyltransferase, alanine aminotransferase, aspartate aminotransferase and albumin) above validated models for 7.5-year risk of diabetes (the Cooperative Health Research in the Region of Augsburg, the KORA study). Basic model includes age, sex, BMI, smoking, hypertension and parental diabetes. Clinical models additionally include glucose and uric acid (model1) and HbA1c (model2). In both studies, addition of Liver function tests to the basic model improved the prediction (C-statistic by~0.020; NRI by~9.0%; P

Subjects

Subjects :
Medicine
Science

Details

Language :
English
ISSN :
19326203
Volume :
7
Issue :
12
Database :
Directory of Open Access Journals
Journal :
PLoS ONE
Publication Type :
Academic Journal
Accession number :
edsdoj.872ced28cbf41e6b14dba87ef25fc14
Document Type :
article
Full Text :
https://doi.org/10.1371/journal.pone.0051496