2008
DOI: 10.1016/j.cardfail.2008.02.004
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Race and the Natural History of Chronic Heart Failure: A Propensity-Matched Study

Abstract: Background-Racial differences in the epidemiology and outcomes of heart failure are well known. However, the association of race with the natural history of heart failure has not been previously studied in a propensity-matched population of chronic heart failure in which all measured baseline patient characteristics are well-balanced between the races.

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Cited by 10 publications
(6 citation statements)
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“…For example, African American HF patients (vs. Caucasians) who have an early onset of HF, 22 are also known to have a lower mean age. 23, 24 In the age-adjusted model, this early-stage disease would be expected to explain in part the relative survival advantage of VA patients despite a higher symptom and comorbidity burden that has been shown to be associated with poor outcomes. 2529 A late-stage HF may also help explain the lower HF death and HF hospitalization among VA hospitals patients as pump failure is generally less common until HF is more advanced.…”
Section: Discussionmentioning
confidence: 99%
“…For example, African American HF patients (vs. Caucasians) who have an early onset of HF, 22 are also known to have a lower mean age. 23, 24 In the age-adjusted model, this early-stage disease would be expected to explain in part the relative survival advantage of VA patients despite a higher symptom and comorbidity burden that has been shown to be associated with poor outcomes. 2529 A late-stage HF may also help explain the lower HF death and HF hospitalization among VA hospitals patients as pump failure is generally less common until HF is more advanced.…”
Section: Discussionmentioning
confidence: 99%
“…However, unlike our study, that study was restricted to patients with left ventricular ejection fraction <35%, only half of the patients were receiving ACE inhibitors, and there was no data on race. A propensity-matched study of the effect of race on outcomes in DIG trial did not find any significant association between race and stroke hospitalization [34]. However, that analysis was not based on the DIG stroke sub-study data and misclassification of stroke is possible as hospitalization was not centrally adjudicated.…”
Section: Discussionmentioning
confidence: 99%
“…Propensity scores for incident coronary revascularization for each of the 2973 patients with IHD were estimated using a non-parsimonious, multivariate logistic regression model, adjusting for key baseline covariates presented in Table 1. The propensity scores were then used for matching, and the details of the matching protocol have been described elsewhere [1114]. Absolute standardized differences were estimated to examine covariate balance and were presented as a Love plot, developed by Thomas E. Love [11–13, 15, 16].…”
Section: Methodsmentioning
confidence: 99%