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Global mortality variations in patients with heart failure:udresults from the International Congestive Heart Failureud(INTER-CHF) prospective cohort study

机译:心力衰竭患者的全球死亡率变化: ud国际充血性心力衰竭的结果 ud(INTER-CHF)前瞻性队列研究

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摘要

Background Most data on mortality and prognostic factors in patients with heart failure come from North Americaudand Europe, with little information from other regions. Here, in the International Congestive Heart Failure (INTERCHF)udstudy, we aimed to measure mortality at 1 year in patients with heart failure in Africa, China, India, the MiddleudEast, southeast Asia and South America; we also explored demographic, clinical, and socioeconomic variablesudassociated with mortality.udMethods We enrolled consecutive patients with heart failure (3695 [66%] clinic outpatients, 2105 [34%] hospital inudpatients) from 108 centres in six geographical regions. We recorded baseline demographic and clinical characteristicsudand followed up patients at 6 months and 1 year from enrolment to record symptoms, medications, and outcomes.udTime to death was studied with Cox proportional hazards models adjusted for demographic and clinical variables,udmedications, socioeconomic variables, and region. We used the explained risk statistic to calculate the relativeudcontribution of each level of adjustment to the risk of death.udFindings We enrolled 5823 patients within 1 year (with 98% follow-up). Overall mortality was 16·5%: highest in Africaud(34%) and India (23%), intermediate in southeast Asia (15%), and lowest in China (7%), South America (9%), and theudMiddle East (9%). Regional differences persisted after multivariable adjustment. Independent predictors of mortalityudincluded cardiac variables (New York Heart Association Functional Class III or IV, previous admission for heartudfailure, and valve disease) and non-cardiac variables (body-mass index, chronic kidney disease, and chronic obstructiveudpulmonary disease). 46% of mortality risk was explained by multivariable modelling with these variables; however,udthe remainder was unexplained.udInterpretation Marked regional differences in mortality in patients with heart failure persisted after multivariableudadjustment for cardiac and non-cardiac factors. Therefore, variations in mortality between regions could be the resultudof health-care infrastructure, quality and access, or environmental and genetic factors. Further studies in large, globaludcohorts are needed.
机译:背景大多数关于心力衰竭患者的死亡率和预后因素的数据来自北美欧洲,而来自其他地区的信息很少。这里,在国际充血性心力衰竭(INTERCHF)研究中,我们旨在测量非洲,中国,印度,中东,东南亚,南美和南美的心衰患者1年死亡率。我们还研究了与死亡率相关的人口统计学,临床和社会经济变量。 ud方法我们从六个地理区域的108个中心招募了连续的心力衰竭患者(3695 [66%]门诊病人,2105 [34%]住院/急诊病人) 。我们记录了基线的人口统计学和临床​​特征从入组开始的6个月和1年随访患者,以记录症状,药物和结果。社会经济变量和地区。我们使用解释的风险统计量来计算每个调整水平对死亡风险的相对 ud贡献。 ud结果我们在1年内招募了5823名患者(随访率98%)。总死亡率为16·5%:非洲 ud(34%)和印度(23%)最高,东南亚(15%)为中级,中国(7%),南美(9%)和最低 ud中东(9%)。多变量调整后,地区差异仍然存在。死亡率的独立预测因子,包括心脏变量(纽约心脏协会功能性III或IV级,先前入院的心脏,失败和瓣膜疾病)和非心脏变量(体重指数,慢性肾脏病和慢性阻塞性肺炎)疾病)。通过这些变量的多变量建模可以解释46%的死亡风险。然而,其余部分无法解释。 ud解释心力衰竭和非心力衰竭因素的多变量调整后,心力衰竭患者死亡率的明显区域差异仍然存在。因此,区域之间死亡率的差异可能是卫生保健基础设施,质量和获取机会或环境和遗传因素的结果。需要在大型,全球性的研究中进行进一步的研究。

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