Literature DB >> 16228142

Incidence and epidemiology of heart failure.

W B Kannel1.   

Abstract

Epidemiologic data from the Framingham Study provide insights into the population burden of heart failure (CHF), its prognosis and modifiable risk factors that promote it. In the general population CHF is chiefly the end stage of hypertensive, coronary and valvular cardiovascular disease. It is a major and growing problem in most affluent countries because of aging populations of increased size, and the prolongation of the lives of cardiac patients by modern therapy. Once clinically manifest, CHF, despite recent innovations in therapy, carries an unacceptably high mortality rate. In the Framingham Study, median survival is only 1.7 y for men and 3.2 y for women, with only 25% of men and 38% of women surviving 5 y. This is a mortality rate 4-8 times that of the general population of the same age. This poor outlook is observed for all etiologies of CHF and sudden death is a prominent feature of the mortality. Based on population attributable risks, hypertension has the greatest impact, accounting for 39% of CHF events in men and 59% in women. Despite its much lower prevalence in the population (3-10%) myocardial infarction also has a high attributable risk in men (34%) and women (13%). Valvular heart disease only accounted for 7-8% of CHF. Hypertension increased the age and risk factor adjusted hazard of CHF 2-fold in men and 3-fold in women, with a greater impact of the systolic than diastolic blood pressure. Diabetes increased CHF risk 2-8 fold with risk ratios twice as large in women as men. About 19% of CHF cases have diabetes. It accounted for 6-12% of the CHF in the Framingham Study cohort. Dyslipidemia characterized by a high total/HDL cholesterol ratio, but not the total cholesterol alone was a risk factor for CHF. An enlarged heart on X-Ray, ECG-LVH, a reduced vital capacity and rapid heart rate usually signified deteriorating cardiac function. CHF risk associated with ECG-LVH was independent of X-Ray cardiomegaly but risk was further augmented when both coexist. Echocardiographic left ventricular hypertrophy signifies a high risk of CHF proportional to the degree of increase in left ventricular mass without a critical value that delineates compensatory from pathological hypertrophy. Risk of CHF in persons predisposed by hypertension, diabetes or cardiac conditions varies over a 10-fold range depending on the aforementioned modifiable risk factors and indicators of deteriorating left ventricular function. Using multivariate risk formulations it is possible to identify 20% of the population from which 70% of the CHF will evolve. Those in the upper quintile of multivariate risk are good candidates for echocardiographic testing to delineate those needing aggressive preventive measures to delay the onset of CHF. Therapy of CHF must begin with treatment of presymptomatic left ventricular dysfunction to reverse the dysfunctional maladaptive changes.

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Year:  2000        PMID: 16228142     DOI: 10.1023/A:1009884820941

Source DB:  PubMed          Journal:  Heart Fail Rev        ISSN: 1382-4147            Impact factor:   4.214


  20 in total

1.  Epidemiology of dilated cardiomyopathy. A prospective post-mortem study of 5252 necropsies. The Heart Muscle Disease Study Group.

Authors:  S Rakar; G Sinagra; A Di Lenarda; A Poletti; R Bussani; F Silvestri; F Camerini
Journal:  Eur Heart J       Date:  1997-01       Impact factor: 29.983

2.  Clinical epidemiology of coronary heart disease in the UK.

Authors:  M M Gandhi
Journal:  Br J Hosp Med       Date:  1997 Jun 18-Jul 8

3.  Epidemiology of heart failure in the United States.

Authors:  R F Gillum
Journal:  Am Heart J       Date:  1993-10       Impact factor: 4.749

4.  Epidemiology of heart failure.

Authors:  W B Kannel; A J Belanger
Journal:  Am Heart J       Date:  1991-03       Impact factor: 4.749

5.  Epidemiology of congestive heart failure: Canadian data from 1970 to 1989.

Authors:  J M Brophy
Journal:  Can J Cardiol       Date:  1992-06       Impact factor: 5.223

6.  Effect of ramipril on mortality and morbidity of survivors of acute myocardial infarction with clinical evidence of heart failure. The Acute Infarction Ramipril Efficacy (AIRE) Study Investigators.

Authors: 
Journal:  Lancet       Date:  1993-10-02       Impact factor: 79.321

7.  Trends in hospitalization for heart failure in Scotland 1980-1990.

Authors:  J McMurray; T McDonagh; C E Morrison; H J Dargie
Journal:  Eur Heart J       Date:  1993-09       Impact factor: 29.983

8.  Effects of enalapril on mortality in severe congestive heart failure. Results of the Cooperative North Scandinavian Enalapril Survival Study (CONSENSUS).

Authors: 
Journal:  N Engl J Med       Date:  1987-06-04       Impact factor: 91.245

9.  Epidemiology and risk profile of cardiac failure.

Authors:  W B Kannel; A Cupples
Journal:  Cardiovasc Drugs Ther       Date:  1988-11       Impact factor: 3.727

10.  The epidemiology of heart failure: the Framingham Study.

Authors:  K K Ho; J L Pinsky; W B Kannel; D Levy
Journal:  J Am Coll Cardiol       Date:  1993-10       Impact factor: 24.094

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  137 in total

1.  Risk of heart failure among postmenopausal women: a secondary analysis of the randomized trial of vitamin D plus calcium of the women's health initiative.

Authors:  Macarius M Donneyong; Carlton A Hornung; Kira C Taylor; Richard N Baumgartner; John A Myers; Charles B Eaton; Eiran Z Gorodeski; Liviu Klein; Lisa W Martin; James M Shikany; Yiqing Song; Wenjun Li; JoAnn E Manson
Journal:  Circ Heart Fail       Date:  2014-11-14       Impact factor: 8.790

2.  The coexistence of multiple cardiovascular diseases is an independent predictor of the 30-day mortality of hospitalized patients with congestive heart failure: a study in Beijing.

Authors:  Qiaoxiang Yin; Yusheng Zhao; Jiayue Li; Qiao Xue; Xingli Wu; Lei Gao; Ping He; Mei Zhu; Shiwen Wang
Journal:  Clin Cardiol       Date:  2011-05-31       Impact factor: 2.882

Review 3.  Telomere dynamics unique to meiotic prophase: formation and significance of the bouquet.

Authors:  H W Bass
Journal:  Cell Mol Life Sci       Date:  2003-11       Impact factor: 9.261

Review 4.  Determinants of heart failure self-care: a systematic literature review.

Authors:  R Oosterom-Calo; A J van Ballegooijen; C B Terwee; S J te Velde; I A Brouwer; T Jaarsma; J Brug
Journal:  Heart Fail Rev       Date:  2012-05       Impact factor: 4.214

5.  The effect of dementia on medication use and adherence among Medicare beneficiaries with chronic heart failure.

Authors:  Gail B Rattinger; Sarah K Dutcher; Pankdeep T Chhabra; Christine S Franey; Linda Simoni-Wastila; Stephen S Gottlieb; Bruce Stuart; Ilene H Zuckerman
Journal:  Am J Geriatr Pharmacother       Date:  2012-01-20

6.  Effects of combined aging and heart failure on visceral sympathetic nerve and cardiovascular responses to progressive hyperthermia in F344 rats.

Authors:  M L Margiocco; M Borgarelli; T I Musch; D M Hirai; K S Hageman; R J Fels; A A Garcia; M J Kenney
Journal:  Am J Physiol Regul Integr Comp Physiol       Date:  2010-09-15       Impact factor: 3.619

7.  Low serum sodium as a poor prognostic indicator for mortality in congestive heart failure patients.

Authors:  Andrew DeWolfe; Barbara Lopez; Lee M Arcement; Kathy Hebert
Journal:  Clin Cardiol       Date:  2010-11-22       Impact factor: 2.882

8.  Association between left ventricular dysfunction, anemia, and chronic renal failure. Analysis of the Heart Failure Prevalence and Predictors in Turkey (HAPPY) cohort.

Authors:  A Kepez; B Mutlu; M Degertekin; C Erol
Journal:  Herz       Date:  2013-11-13       Impact factor: 1.443

9.  Racial differences in incident heart failure among young adults.

Authors:  Kirsten Bibbins-Domingo; Mark J Pletcher; Feng Lin; Eric Vittinghoff; Julius M Gardin; Alexander Arynchyn; Cora E Lewis; O Dale Williams; Stephen B Hulley
Journal:  N Engl J Med       Date:  2009-03-19       Impact factor: 91.245

Review 10.  Cheyne-stokes respiration in patients with heart failure.

Authors:  Laila AlDabal; Ahmed S BaHammam
Journal:  Lung       Date:  2009-12-03       Impact factor: 2.584

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