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Predictors of all-cause and cardiovascular disease mortality in type 2 diabetes: Diabetes Heart Study

BACKGROUND: Many studies evaluated the best predictors for cardiovascular disease (CVD) events in individuals with type 2 diabetes (T2D), but few studies examined the factors most strongly associated with mortality in T2D. The Diabetes Heart Study (DHS), an intensively phenotyped family-based cohort...

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Autores principales: Raffield, Laura M., Hsu, Fang-Chi, Cox, Amanda J., Carr, J. Jeffrey, Freedman, Barry I., Bowden, Donald W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4490739/
https://www.ncbi.nlm.nih.gov/pubmed/26146522
http://dx.doi.org/10.1186/s13098-015-0055-y
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author Raffield, Laura M.
Hsu, Fang-Chi
Cox, Amanda J.
Carr, J. Jeffrey
Freedman, Barry I.
Bowden, Donald W.
author_facet Raffield, Laura M.
Hsu, Fang-Chi
Cox, Amanda J.
Carr, J. Jeffrey
Freedman, Barry I.
Bowden, Donald W.
author_sort Raffield, Laura M.
collection PubMed
description BACKGROUND: Many studies evaluated the best predictors for cardiovascular disease (CVD) events in individuals with type 2 diabetes (T2D), but few studies examined the factors most strongly associated with mortality in T2D. The Diabetes Heart Study (DHS), an intensively phenotyped family-based cohort enriched for T2D, provided an opportunity to address this question. METHODS: Associations with mortality were examined in 1022 European Americans affected by T2D from 476 DHS families. All-cause mortality was 31.2 % over an average 9.6 years of follow-up. Cox proportional hazards models with sandwich-based variance estimation were used to evaluate associations between all-cause and CVD mortality and 24 demographic and clinical factors, including coronary artery calcified plaque (CAC), carotid artery intima-media thickness, medications, body mass index, waist hip ratio, lipids, blood pressure, kidney function, QT interval, educational attainment, and glycemic control. Nominally significant factors (p < 0.25) from univariate analyses were included in model selection (backward elimination, forward selection, and stepwise selection). Age and sex were included in all models. RESULTS: The all-cause mortality model selected from the full DHS sample included age, sex, CAC, urine albumin: creatinine ratio (UACR), insulin use, current smoking, and educational attainment. The CVD mortality model selected from the full sample included age, sex, CAC, UACR, triglycerides, and history of CVD events. Beyond age, the most significant associations for both mortality models were CAC (2.03 × 10(−4) ≤ p ≤ 0.001) and UACR (1.99 × 10(−8) ≤ p ≤ 2.23 × 10(−8)). To confirm the validity of the main predictors identified with model selection using the full sample, a two-fold cross-validation approach was used, and similar results were observed. CONCLUSIONS: This analysis highlights important demographic and clinical factors, notably CAC and albuminuria, which predict mortality in the general population of patients with T2D. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13098-015-0055-y) contains supplementary material, which is available to authorized users.
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spelling pubmed-44907392015-07-04 Predictors of all-cause and cardiovascular disease mortality in type 2 diabetes: Diabetes Heart Study Raffield, Laura M. Hsu, Fang-Chi Cox, Amanda J. Carr, J. Jeffrey Freedman, Barry I. Bowden, Donald W. Diabetol Metab Syndr Research BACKGROUND: Many studies evaluated the best predictors for cardiovascular disease (CVD) events in individuals with type 2 diabetes (T2D), but few studies examined the factors most strongly associated with mortality in T2D. The Diabetes Heart Study (DHS), an intensively phenotyped family-based cohort enriched for T2D, provided an opportunity to address this question. METHODS: Associations with mortality were examined in 1022 European Americans affected by T2D from 476 DHS families. All-cause mortality was 31.2 % over an average 9.6 years of follow-up. Cox proportional hazards models with sandwich-based variance estimation were used to evaluate associations between all-cause and CVD mortality and 24 demographic and clinical factors, including coronary artery calcified plaque (CAC), carotid artery intima-media thickness, medications, body mass index, waist hip ratio, lipids, blood pressure, kidney function, QT interval, educational attainment, and glycemic control. Nominally significant factors (p < 0.25) from univariate analyses were included in model selection (backward elimination, forward selection, and stepwise selection). Age and sex were included in all models. RESULTS: The all-cause mortality model selected from the full DHS sample included age, sex, CAC, urine albumin: creatinine ratio (UACR), insulin use, current smoking, and educational attainment. The CVD mortality model selected from the full sample included age, sex, CAC, UACR, triglycerides, and history of CVD events. Beyond age, the most significant associations for both mortality models were CAC (2.03 × 10(−4) ≤ p ≤ 0.001) and UACR (1.99 × 10(−8) ≤ p ≤ 2.23 × 10(−8)). To confirm the validity of the main predictors identified with model selection using the full sample, a two-fold cross-validation approach was used, and similar results were observed. CONCLUSIONS: This analysis highlights important demographic and clinical factors, notably CAC and albuminuria, which predict mortality in the general population of patients with T2D. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13098-015-0055-y) contains supplementary material, which is available to authorized users. BioMed Central 2015-06-28 /pmc/articles/PMC4490739/ /pubmed/26146522 http://dx.doi.org/10.1186/s13098-015-0055-y Text en © Raffield et al. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Raffield, Laura M.
Hsu, Fang-Chi
Cox, Amanda J.
Carr, J. Jeffrey
Freedman, Barry I.
Bowden, Donald W.
Predictors of all-cause and cardiovascular disease mortality in type 2 diabetes: Diabetes Heart Study
title Predictors of all-cause and cardiovascular disease mortality in type 2 diabetes: Diabetes Heart Study
title_full Predictors of all-cause and cardiovascular disease mortality in type 2 diabetes: Diabetes Heart Study
title_fullStr Predictors of all-cause and cardiovascular disease mortality in type 2 diabetes: Diabetes Heart Study
title_full_unstemmed Predictors of all-cause and cardiovascular disease mortality in type 2 diabetes: Diabetes Heart Study
title_short Predictors of all-cause and cardiovascular disease mortality in type 2 diabetes: Diabetes Heart Study
title_sort predictors of all-cause and cardiovascular disease mortality in type 2 diabetes: diabetes heart study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4490739/
https://www.ncbi.nlm.nih.gov/pubmed/26146522
http://dx.doi.org/10.1186/s13098-015-0055-y
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