首页> 外文期刊>European journal of heart failure: journal of the Working Group on Heart Failure of the European Society of Cardiology >To die with or from heart failure: a difference that counts: is heart failure underrepresented in national mortality statistics?
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To die with or from heart failure: a difference that counts: is heart failure underrepresented in national mortality statistics?

机译:与心脏失败一起死亡:重要的差异:是国民死亡率统计中的心力失败吗?

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AIMS: Mortality attributed to a disease is an important public health measure of the 'burden' of that disease. A discrepancy has been noted between the high mortality rates associated with heart failure (HF) and the share of deaths ascribed to HF in official mortality statistics. It was our main aim to estimate excess mortality associated with HF and use the estimates to better understand the burden of HF. METHODS AND RESULTS: Excess mortality was defined as the difference in mortality rates between individuals with and those without HF. An epidemiological model was formulated that allowed deriving age-specific excess mortality rates in HF patients from HF incidence and prevalence. Incidence and prevalence were estimated from yearly collected cross-sectional data from four nationally representative General Practice registries in the Netherlands. The year 2007 was chosen as a reference. Next, excess mortality rates were used to calculate numbers of deaths among HF patients and compare the figures with national cause-of-death statistics. The latter were found to be more than three times smaller than the former (roughly 6000 vs. 21 000). Further, by applying HF prevalence and mortality rates to a life table of the Dutch population, average numbers of life years lost due to HF were calculated to be 6.9 years. CONCLUSION: National mortality statistics strongly underestimate the number of deaths associated with HF. Moreover, the high mortality rate in HF patients amounts to a remarkably large number of life years lost given the advanced age of disease onset.
机译:目的:归因于疾病的死亡率是这种疾病“负担”的重要公共卫生措施。与心力衰竭(HF)相关的高死亡率和官方死亡率统计中归因于HF的死亡份额之间存在差异。我们的主要目标是估计与HF相关的过剩死亡率,并使用估计来更好地理解HF的负担。方法和结果:过量的死亡率被定义为个体之间死亡率的差异和没有HF的人。制定了流行病学模型,其允许从HF发病率和患病率的HF患者中获得年龄特异性过量的死亡率。从荷兰四次国家代表性一般实践登记处的年度收集的横断面数据估计了发病率和患病率。 2007年被选为参考。接下来,使用过多的死亡率来计算HF患者的死亡数,并比较国家死因统计数据。后者被发现比前者小三倍(大约6000与21000)。此外,通过将HF流行率和死亡率与荷兰人的生命表施加,由于HF损失的平均寿命数量计算为6.9岁。结论:国民死亡率统计大不低估了与HF相关的死亡人数。此外,患有HF患者的高死亡率达到遗失的疾病早期前期损失的大量终身年。

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