Prediction of incident heart failure in general practice the atherosclerosis risk in communities (ARIC) study

Circulation: Heart Failure

Volumn 5, Issue 4, 2012, Pages 422-429

  Agarwal, Sunil K ^a   Chambless, Lloyd E ^a   Ballantyne, Christie M ^b   Astor, Brad ^c   Bertoni, Alain G ^d   Chang, Patricia P ^a   Folsom, Aaron R ^e   He, Max ^a   Hoogeveen, Ron C ^b   Ni, Hanyu ^f   Quibrera, Pedro M ^a   Rosamond, Wayne D ^a   Russell, Stuart D ^c   Shahar, Eyal ^g   Heiss, Gerardo ^a  

^a IL   (United States)

^b BAYLOR COLLEGE OF MEDICINE   (United States)

^c JOHNS HOPKINS UNIVERSITY SCHOOL OF MEDICINE   (United States)

^d WAKE FOREST SCHOOL OF MEDICINE   (United States)

^e UNIVERSITY OF MINNESOTA   (United States)

^f NATIONAL INSTITUTES OF HEALTH   (United States)

^g UNIVERSITY OF ARIZONA   (United States)

Author keywords

Biomarkers; Cystatin C; External validation; Heart failure; Hs CRP; NT proBN; Risk prediction

Indexed keywords

AMINO TERMINAL PRO BRAIN NATRIURETIC PEPTIDE; C REACTIVE PROTEIN; CYSTATIN C;

ADULT; AREA UNDER THE CURVE; ARTICLE; ATHEROSCLEROSIS; CALIBRATION; EXTERNAL VALIDITY; FEMALE; FOLLOW UP; GENERAL PRACTICE; HEART FAILURE; HEART FUNCTION; HUMAN; MAJOR CLINICAL STUDY; MALE; PRIORITY JOURNAL; RISK ASSESSMENT;

AGE FACTORS; AREA UNDER CURVE; ATHEROSCLEROSIS; BIOLOGICAL MARKERS; C-REACTIVE PROTEIN; CHI-SQUARE DISTRIBUTION; CONTINENTAL POPULATION GROUPS; CYSTATIN C; FEMALE; GENERAL PRACTICE; HEALTH STATUS INDICATORS; HEART FAILURE; HUMANS; INCIDENCE; LINEAR MODELS; MALE; MIDDLE AGED; NATRIURETIC PEPTIDE, BRAIN; PEPTIDE FRAGMENTS; PREDICTIVE VALUE OF TESTS; PROPORTIONAL HAZARDS MODELS; REPRODUCIBILITY OF RESULTS; RISK ASSESSMENT; RISK FACTORS; SEX FACTORS; TIME FACTORS; UNITED STATES;

EID: 84864630944     PISSN: 19413289     EISSN: 19413297     Source Type: Journal    
DOI: 10.1161/CIRCHEARTFAILURE.111.964841     Document Type: Article

References (27)

1. Rosamond W, Flegal K, Furie K, Go A, Greenlund K, Haase N, Hailpern SM, Ho M, Howard V, Kissela B, Kittner S, Lloyd-Jones D, McDermott M, Meigs J, Moy C, Nichol G, O'Donnell C, Roger V, Sorlie P, Steinberger J, Thom T, Wilson M, Hong Y. Heart disease and stroke statistics-2008 update: a report from the American Heart Association Statistics Committee and Stroke Statistics Subcommittee. Circulation. 2008;117:e25-146.
2. Roger VL, Weston SA, Redfield MM, Hellermann-Homan JP, Killian J, Yawn BP, Jacobsen SJ. Trends in heart failure incidence and survival in a community-based population. JAMA. 2004;292:344-350.
3. Fonseca C. Diagnosis of heart failure in primary care. Heart Fail Rev. 2006;11:95-107.
4. Fowler PB. Evidence-based diagnosis. J Eval Clin Pract. 1997;3:153-159.
5. Mair FS, Bundred PE. The diagnosis and management of heart failure. GP Opinions. 1996;3:121-125.
6. Fuat A, Hungin AP, Murphy JJ. Barriers to accurate diagnosis and effective management of heart failure in primary care: qualitative study. BMJ. 2003;326:196.
7. Kannel WB, D'Agostino RB, Sullivan L, Wilson PW. Concept and usefulness of cardiovascular risk profiles. Am Heart J. 2004;148:16-26.
8. Jessup M, Abraham WT, Casey DE, Feldman AM, Francis GS, Ganiats TG, Konstam MA, Mancini DM, Rahko PS, Silver MA, Stevenson LW, Yancy CW. 2009 focused update: ACCF/AHA guidelines for the diagnosis and management of heart failure in adults: a report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines: developed in collaboration with the International Society for Heart and Lung Transplantation. Circulation. 2009;119:1977-2016.
9. Kannel WB, D'Agostino RB, Silbershatz H, Belanger AJ, Wilson PW, Levy D. Profile for estimating risk of heart failure. Arch Intern Med. 1999;159:1197-1204.
10. Butler J, Kalogeropoulos A, Georgiopoulou V, Belue R, Rodondi N, Garcia M, Bauer DC, Satterfield S, Smith AL, Vaccarino V, Newman AB, Harris TB, Wilson PW, Kritchevsky SB. Incident heart failure prediction in the elderly: the Health ABC Heart Failure score. Circ Heart Fail. 2008;1:125-133.
11. The ARIC Investigators. The Atherosclerosis Risk In Communities (ARIC) study: design and objectives. The ARIC investigators. Am J Epidemiol. 1989;129:687-702.
12. Loehr LR, Rosamond WD, Chang PP, Folsom AR, Chambless LE. Heart failure incidence and survival (from the Atherosclerosis Risk In Communities study). Am J Cardiol. 2008;101:1016-1022.
13. Vitelli LL, Crow RS, Shahar E, Hutchinson RG, Rautaharju PM, Folsom AR. Electrocardiographic findings in a healthy biracial population. Atherosclerosis Risk In Communities (ARIC) study investigators. Am J Cardiol. 1998;81:453-459.
14. Folsom AR, Lutsey PL, Astor BC, Cushman M. C-reactive protein and venous thromboembolism. A prospective investigation in the ARIC cohort. Thromb Haemost. 2009;102:615-619.
15. Erlandsen EJ, Randers E, Kristensen JH. Evaluation of the Dade Behring N latex cystatin C assay on the Dade Behring Nephelometer II system. Scand J Clin Lab Invest. 1999;59:1-8.
16. Agarwal SK, Avery CL, Ballantyne CM, Catellier D, Nambi V, Saunders J, Sharrett AR, Coresh J, Heiss G, Hoogeveen RC. Sources of variability in measurements of cardiac troponin T in a community-based sample: the Atherosclerosis Risk In Communities study. Clin Chem. 2011;57:891-897.
17. Rosamond WD, Chang PP, Baggett C, Johnson A, Bertoni AG, Shahar E, Deswal A, Heiss G, Chambless LE. Classification of heart failure in the Atherosclerosis Risk In Communities (ARIC) study: a comparison of diagnostic criteria. Circ Heart Fail. 2012;5:152-159.
18. Gronnesby JK, Borgan O. A method for checking regression models in survival analysis based on the risk score. Lifetime Data Anal. 1996;2:315-328.
19. Pencina MJ, D' Agostino RBS, D' Agostino RBJ, Vasan RS. Evaluating the added predictive ability of a new marker: from area under the roc curve to reclassification and beyond. Stat Med. 2008;27:157-172.
20. Pepe MS, Feng Z, Huang Y, Longton G, Prentice R, Thompson IM, Zheng Y. Integrating the predictiveness of a marker with its performance as a classifier. Am J Epidemiol. 2008;167:362-368.
21. Chambless LE, Cummiskey CP, Cui G. Several methods to assess improvement in risk prediction models: extension to survival analysis. Stat Med. 2011;30:22-38.
22. Steyerberg EW, Harrell FE Jr, Borsboom GJ, Eijkemans MJ, Vergouwe Y, Habbema JD. Internal validation of predictive models: efficiency of some procedures for logistic regression analysis. J Clin Epidemiol. 2001;54:774-781.
23. Braunwald E, Zipes DP, Libby P. Heart Disease: A Textbook of Cardiovascular Medicine. Philadelphia, PA: WB Saunders; 2001.
24. D'Agostino RB Sr, Grundy S, Sullivan LM, Wilson P. Validation of the Framingham coronary heart disease prediction scores: results of a multiple ethnic groups investigation. JAMA. 2001;286:180-187.
25. Kalogeropoulos A, Psaty BM, Vasan RS, Georgiopoulou V, Smith AL, Smith NL, Kritchevsky SB, Wilson PW, Newman AB, Harris TB, Butler J. Validation of the Health ABC Heart Failure model for incident heart failure risk prediction: the Cardiovascular Health Study. Circ Heart Fail. 2010;3:495-502.
26. Lindenfeld J, Albert NM, Boehmer JP, Collins SP, Ezekowitz JA, Givertz MM, Katz SD, Klapholz M, Moser DK, Rogers JG, Starling RC, Stevenson WG, Tang WH, Teerlink JR, Walsh MN. HFSA 2010 comprehensive heart failure practice guideline. J Card Fail. 2010;16:e1-194.
27. Rosamond WD, Chang P, Baggett C, Bertoni A, Shahar E, Deswal A, Heiss G, Chambless L. Abstract 1454: Classification of heart failure in the Atherosclerosis Risk In Communities (ARIC) study: a comparison with other diagnostic criteria. Circulation. 2009;120:S506.