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Core 2. Epidemiology and Prevention of CV Disease: Physiology, Pharmacology and LifestyleSession Title: Predicting Incident Heart Failure

Abstract 14209: High Sensitivity Troponin T and NT-proBNP in Heart Failure Risk Prediction: an Analysis from the Atherosclerosis Risk in Communities (ARIC) Sudy

Vijay Nambi, Xiaoxi Liu, Lloyd Chambless, James A De Lemos, Sunil Agarwal, Salim S Virani, David Aguilar, Pothur Srinivas, Anita Deswal, Thomas Mosley, Eric Boerwinkle, Ron C Hoogeveen, Joe Coresh, Aaron R Folsom, Gerardo Heiss, Christie M Ballantyne
Circulation. 2012;126:A14209
Vijay Nambi
Internal Medicine, Baylor College of Medicine, Pearland, TX,
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Xiaoxi Liu
Biostatistics, Univ of North Carolina, Chapel Hill, NC,
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Lloyd Chambless
Biostatistics, Univ of North Carolina, Chapel Hill, NC,
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James A De Lemos
Internal Medicine, Univ of Texas Southwestern Med Cntr, Dallas, TX,
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Sunil Agarwal
Epidemiology, Univ of North Carolina, Chapel Hill, NC,
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Salim S Virani
Internal Medicine, Baylor College of Medicine/Michael E Debakey Veterans Affairs Hosp, Houston, TX,
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David Aguilar
Internal Medicine, Baylor College of Medicine, Houston, TX,
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Pothur Srinivas
Proteomics center, NIH, Bethesda, MD,
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Anita Deswal
Internal Medicine, Baylor College of Medicine/Michael E Debakey Veterans Affairs Hosp, Houtson, TX,
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Thomas Mosley
Geriatrics, Univ of Mississippi Med Cntr, Jackson, MS,
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Eric Boerwinkle
Genetics, Univ of Texas Sch of Public Health, Houston, TX,
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Ron C Hoogeveen
Internal Medicine, Baylor College of Medicine, Houston, TX,
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Joe Coresh
Epidemiology, Biostatistics, Johns Hopkins Bloomberg Sch of Public Health, Baltimore, MD,
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Aaron R Folsom
Epidemiology and Community Health, Univ of Minnesota, Minneapolis, MN
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Gerardo Heiss
Epidemiology, Univ of North Carolina, Chapel Hill, NC,
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Christie M Ballantyne
Internal Medicine, Baylor College of Medicine, Houston, TX,
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Abstract

Objectives: We evaluated whether scores incorporating troponin T (TnT), measured with a high sensitivity assay and NT-pro B type natriuretic peptide (NTproBNP) improve heart failure (HF) risk prediction in the ARIC study.

Methods: Participants from the ARIC study (1997-99) without prevalent HF were included. Cox proportional hazards were used to describe various HF prediction models. Model 1 was a recently published clinical ARIC HF model which includes age, race, gender, systolic blood pressure, antihypertensive medication use, current smoking, diabetes, body mass index, prevalent coronary heart disease and heart rate. Model 2 added TnT and NTproBNP to model 1 while model 3 was a simplified model (biomarker model) that included age, race, gender, TnT and NTproBNP. Categorized TnT values (table) and log transformed NT-proBNP were used. Improvements in area under the receiver operator characteristics curve (AUC), net reclassification index (NRI), integrated discrimination index (IDI) and model fit were described.

Results: The mean age of our study population (n=10,109) was 62.7 years (44% males, 79% white, 45% hypertension and 16% diabetes). Troponin T was detectable in ~67% of the population. Over a mean follow up of 10.4 years there were 982 hospitalizations with HF. For each model ~65-75% of the incident HF events occurred in the highest 3 deciles of estimated risk. Adding TnT and NTproBNP to model 1 significantly improved HF prediction and was the best model in our analysis (Table). The simplified biomarker model, however, performed as well as model 1 (Table).

Conclusion: Adding TnT and NTproBNP significantly improved HF risk prediction in the ARIC study. A simple model that included only age, race, gender, TnT and NTproBNP which can be implemented with greater ease performed as well as a clinical ARIC HF model. Measuring TnT with a high sensitivity assay and NTproBNP, is an attractive strategy for heart failure risk prediction among middle to older age adults.

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  • Biomarkers
  • Heart failure
  • Troponin
  • Risk factors
  • © 2012 by American Heart Association, Inc.
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Circulation
20 November 2012, Volume 126, Issue Suppl 21
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    Abstract 14209: High Sensitivity Troponin T and NT-proBNP in Heart Failure Risk Prediction: an Analysis from the Atherosclerosis Risk in Communities (ARIC) Sudy
    Vijay Nambi, Xiaoxi Liu, Lloyd Chambless, James A De Lemos, Sunil Agarwal, Salim S Virani, David Aguilar, Pothur Srinivas, Anita Deswal, Thomas Mosley, Eric Boerwinkle, Ron C Hoogeveen, Joe Coresh, Aaron R Folsom, Gerardo Heiss and Christie M Ballantyne
    Circulation. 2012;126:A14209, originally published January 6, 2016

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    Abstract 14209: High Sensitivity Troponin T and NT-proBNP in Heart Failure Risk Prediction: an Analysis from the Atherosclerosis Risk in Communities (ARIC) Sudy
    Vijay Nambi, Xiaoxi Liu, Lloyd Chambless, James A De Lemos, Sunil Agarwal, Salim S Virani, David Aguilar, Pothur Srinivas, Anita Deswal, Thomas Mosley, Eric Boerwinkle, Ron C Hoogeveen, Joe Coresh, Aaron R Folsom, Gerardo Heiss and Christie M Ballantyne
    Circulation. 2012;126:A14209, originally published January 6, 2016
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