2012
DOI: 10.1093/eurjhf/hfs113
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Why and how do elderly patients with heart failure die? Insights from the TIME‐CHF study

Abstract: AimsSpecific causes and modes of death (COD and MOD) of patients with heart failure (HF) are not well described, particularly in those with preserved ejection fraction .45% (HFPEF) and at old age. Thus, using the database of the TIME-CHF study, patients with HFPEF were compared with those with reduced ejection fraction ≤45% (HFREF), and patients ≥75 with those 60 -74 years of age to identify MOD and COD, predictors of death, and event rates before death as compared with survivors. Methods and resultsDuring the… Show more

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Cited by 37 publications
(59 citation statements)
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“…Figure 5 Inverse relationship between prevalence of CAD and percentage non-cardiovascular deaths. Comparison of baseline burden of CAD and percentage of non-cardiovascular-related deaths (% total deaths) from similar heart failure populations (Olmsted 26 and TIME-CHF 19 ) shows an inverse relationship regardless of LVEF. HFPEF, heart failure with preserved ejection fraction; HFREF, heart failure with reduced ejection fraction.…”
Section: Fundingmentioning
confidence: 96%
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“…Figure 5 Inverse relationship between prevalence of CAD and percentage non-cardiovascular deaths. Comparison of baseline burden of CAD and percentage of non-cardiovascular-related deaths (% total deaths) from similar heart failure populations (Olmsted 26 and TIME-CHF 19 ) shows an inverse relationship regardless of LVEF. HFPEF, heart failure with preserved ejection fraction; HFREF, heart failure with reduced ejection fraction.…”
Section: Fundingmentioning
confidence: 96%
“…A greater co-morbidity burden, indexed by the Charlson score, is known to be associated with reduced short-and long-term survival in heart failure regardless of LVEF. 6,19 Specifically in HFPEF, noncardiac co-morbidities have been shown to be related to increased incidence of future HFPEF, 47 reduced functional status, 48 and increased risk of hospitalizations. 49 In fact, compared with HFREF, non-cardiac co-morbidities were found to impact functional status to a greater extent in HFPEF, 48 and potentially accounts for more non-heart failure hospitalizations in HFPEF than in HFREF.…”
Section: Non-cardiac Co-morbiditiesmentioning
confidence: 99%
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“…Although heart failure mortality is a very large proportion of total mortality in people with heart failure, the proportion varies somewhat with age (with a higher proportion of non-heart failure mortality in older people with heart failure). 158 However, although we have not annualised the estimate of absolute benefit, the mean duration of treatment in the trials from which the RR estimate is derived was 35 months, meaning that the assumptions underlying annualisation are more likely to be reasonable. This emphasises that the plausibility of the assumptions required to use absolute benefit in practice are at least partly context dependent.…”
Section: Using More Realistic Estimates Of Baseline Riskmentioning
confidence: 97%
“…Cause of death was predominantly cardiovascular. 19 A total of 254 patients (50.9%) experienced the disease-specific end point of HF hospitalization or death and 379 patients (76.0%) experienced the end point of all-cause hospitalization or death with a median follow-up of 26 months (interquartile range, 16-41).…”
Section: Long-term Outcomementioning
confidence: 99%