Literature DB >> 22589298

Prediction of incident heart failure in general practice: the Atherosclerosis Risk in Communities (ARIC) Study.

Sunil K Agarwal1, Lloyd E Chambless, Christie M Ballantyne, Brad Astor, Alain G Bertoni, Patricia P Chang, Aaron R Folsom, Max He, Ron C Hoogeveen, Hanyu Ni, Pedro M Quibrera, Wayne D Rosamond, Stuart D Russell, Eyal Shahar, Gerardo Heiss.   

Abstract

BACKGROUND: A simple and effective heart failure (HF) risk score would facilitate the primary prevention and early diagnosis of HF in general practice. We examined the external validity of existing HF risk scores, optimized a 10-year HF risk function, and examined the incremental value of several biomarkers, including N-terminal pro-brain natriuretic peptide. METHODS AND
RESULTS: During 15.5 years (210 102 person-years of follow-up), 1487 HF events were recorded among 13 555 members of the biethnic Atherosclerosis Risk in Communities (ARIC) Study cohort. The area under curve from the Framingham-published, Framingham-recalibrated, Health ABC HF recalibrated, and ARIC risk scores were 0.610, 0.762, 0.783, and 0.797, respectively. On addition of N-terminal pro-brain natriuretic peptide, the optimism-corrected area under curve of the ARIC HF risk score increased from 0.773 (95% CI, 0.753-0.787) to 0.805 (95% CI, 0.792-0.820). Inclusion of N-terminal pro-brain natriuretic peptide improved the overall classification of recalibrated Framingham, recalibrated Health ABC, and ARIC risk scores by 18%, 12%, and 13%, respectively. In contrast, cystatin C or high-sensitivity C-reactive protein did not add toward incremental risk prediction.
CONCLUSIONS: The ARIC HF risk score is more parsimonious yet performs slightly better than the extant risk scores in predicting 10-year risk of incident HF. The inclusion of N-terminal pro-brain natriuretic peptide markedly improves HF risk prediction. A simplified risk score restricted to a patient's age, race, sex, and N-terminal pro-brain natriuretic peptide performs comparably to the full score (area under curve, 0.745) and is suitable for automated reporting from laboratory panels and electronic medical records.

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Year:  2012        PMID: 22589298      PMCID: PMC3412686          DOI: 10.1161/CIRCHEARTFAILURE.111.964841

Source DB:  PubMed          Journal:  Circ Heart Fail        ISSN: 1941-3289            Impact factor:   8.790


  24 in total

1.  Internal validation of predictive models: efficiency of some procedures for logistic regression analysis.

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Journal:  J Clin Epidemiol       Date:  2001-08       Impact factor: 6.437

2.  Barriers to accurate diagnosis and effective management of heart failure in primary care: qualitative study.

Authors:  Ahmet Fuat; A Pali S Hungin; Jeremy James Murphy
Journal:  BMJ       Date:  2003-01-25

3.  Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond.

Authors:  Michael J Pencina; Ralph B D'Agostino; Ralph B D'Agostino; Ramachandran S Vasan
Journal:  Stat Med       Date:  2008-01-30       Impact factor: 2.373

4.  A method for checking regression models in survival analysis based on the risk score.

Authors:  J K Grønnesby; O Borgan
Journal:  Lifetime Data Anal       Date:  1996       Impact factor: 1.588

Review 5.  Evidence-based diagnosis.

Authors:  P B Fowler
Journal:  J Eval Clin Pract       Date:  1997-04       Impact factor: 2.431

Review 6.  Diagnosis of heart failure in primary care.

Authors:  Cândida Fonseca
Journal:  Heart Fail Rev       Date:  2006-06       Impact factor: 4.214

7.  Electrocardiographic findings in a healthy biracial population. Atherosclerosis Risk in Communities (ARIC) Study Investigators.

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Journal:  Am J Cardiol       Date:  1998-02-15       Impact factor: 2.778

8.  Profile for estimating risk of heart failure.

Authors:  W B Kannel; R B D'Agostino; H Silbershatz; A J Belanger; P W Wilson; D Levy
Journal:  Arch Intern Med       Date:  1999-06-14

9.  Trends in heart failure incidence and survival in a community-based population.

Authors:  Véronique L Roger; Susan A Weston; Margaret M Redfield; Jens P Hellermann-Homan; Jill Killian; Barbara P Yawn; Steven J Jacobsen
Journal:  JAMA       Date:  2004-07-21       Impact factor: 56.272

10.  The Atherosclerosis Risk in Communities (ARIC) Study: design and objectives. The ARIC investigators.

Authors: 
Journal:  Am J Epidemiol       Date:  1989-04       Impact factor: 4.897

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  79 in total

Review 1.  Contemporary strategies in the diagnosis and management of heart failure.

Authors:  Shannon M Dunlay; Naveen L Pereira; Sudhir S Kushwaha
Journal:  Mayo Clin Proc       Date:  2014-03-29       Impact factor: 7.616

2.  Development and Validation of Risk Prediction Models for Cardiovascular Events in Black Adults: The Jackson Heart Study Cohort.

Authors:  Ervin R Fox; Tandaw E Samdarshi; Solomon K Musani; Michael J Pencina; Jung Hye Sung; Alain G Bertoni; Vanessa Xanthakis; Pelbreton C Balfour; Satya S Shreenivas; Carolyn Covington; Philip R Liebson; Daniel F Sarpong; Kenneth R Butler; Thomas H Mosley; Wayne D Rosamond; Aaron R Folsom; David M Herrington; Ramachandran S Vasan; Herman A Taylor
Journal:  JAMA Cardiol       Date:  2016-04-01       Impact factor: 14.676

3.  Combination of high-sensitivity troponin I and N-terminal pro-B-type natriuretic peptide predicts future hospital admission for heart failure in high-risk hypertensive patients with preserved left ventricular ejection fraction.

Authors:  Ryunosuke Okuyama; Junnichi Ishii; Hiroshi Takahashi; Hideki Kawai; Takashi Muramatsu; Masahide Harada; Akira Yamada; Sadako Motoyama; Shigeru Matsui; Hiroyuki Naruse; Masayoshi Sarai; Midori Hasegawa; Eiichi Watanabe; Atsushi Suzuki; Mutsuharu Hayashi; Hideo Izawa; Yukio Yuzawa; Yukio Ozaki
Journal:  Heart Vessels       Date:  2017-02-02       Impact factor: 2.037

4.  Utility of Framingham risk score in urban emergency department patients with asymptomatic hypertension.

Authors:  Aaron M Brody; John M Flack; Brian A Ference; Phillip D Levy
Journal:  Crit Pathw Cardiol       Date:  2014-09

5.  Relation of Magnesium Intake With Cardiac Function and Heart Failure Hospitalizations in Black Adults: The Jackson Heart Study.

Authors:  Tracey H Taveira; Danielle Ouellette; Alev Gulum; Gaurav Choudhary; Charles B Eaton; Simin Liu; Wen-Chih Wu
Journal:  Circ Heart Fail       Date:  2016-04       Impact factor: 8.790

Review 6.  Systolic heart failure: knowledge gaps, misconceptions, and future directions.

Authors:  Rohan Samson; Rohit Ramachandran; Thierry H Le Jemtel
Journal:  Ochsner J       Date:  2014

7.  Racial differences in the association of NT-proBNP with risk of incident heart failure in REGARDS.

Authors:  Nirav Patel; Mary Cushman; Orlando M Gutiérrez; George Howard; Monika M Safford; Paul Muntner; Raegan W Durant; Sumanth D Prabhu; Garima Arora; Emily B Levitan; Pankaj Arora
Journal:  JCI Insight       Date:  2019-06-04

8.  The Loss of GSTM1 Associates with Kidney Failure and Heart Failure.

Authors:  Adrienne Tin; Robert Scharpf; Michelle M Estrella; Bing Yu; Megan L Grove; Patricia P Chang; Kunihiro Matsushita; Anna Köttgen; Dan E Arking; Eric Boerwinkle; Thu H Le; Josef Coresh; Morgan E Grams
Journal:  J Am Soc Nephrol       Date:  2017-07-18       Impact factor: 10.121

9.  Troponin T, NT-proBNP, and venous thromboembolism: the Longitudinal Investigation of Thromboembolism Etiology (LITE).

Authors:  Aaron R Folsom; Pamela L Lutsey; Vijay Nambi; Christopher R deFilippi; Susan R Heckbert; Mary Cushman; Christie M Ballantyne
Journal:  Vasc Med       Date:  2014-02       Impact factor: 3.239

10.  Smoking and Cardiac Structure and Function in the Elderly: The ARIC Study (Atherosclerosis Risk in Communities).

Authors:  Wilson Nadruz; Brian Claggett; Alexandra Gonçalves; Gabriela Querejeta-Roca; Miguel M Fernandes-Silva; Amil M Shah; Susan Cheng; Hirofumi Tanaka; Gerardo Heiss; Dalane W Kitzman; Scott D Solomon
Journal:  Circ Cardiovasc Imaging       Date:  2016-09       Impact factor: 7.792

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