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心力衰竭住院后 30 天再入院的趋势、原因和时间:基于人群的 11 年数据分析及数据关联

Trends, causes and timing of 30-day readmissions after hospitalization for heart failure: 11-year population-based analysis with linked data.

机构信息

Servicio de Cardiología, Hospital General Universitario Santa Lucía, Cartagena, Spain.

Servicio de Planificación y Financiación Sanitaria, Consejería de Salud, Murcia, Spain.

出版信息

Int J Cardiol. 2017 Dec 1;248:246-251. doi: 10.1016/j.ijcard.2017.07.094. Epub 2017 Aug 4.

Abstract

BACKGROUND

Reliable data are necessary if the burden of early readmissions following hospitalization for heart failure (HF) is to be addressed. We studied unplanned 30-day readmissions, their causes and timing over an 11-year period, using population-based linked data.

METHODS

All hospitalizations from 2003 to 2013 were analyzed by using administrative linked data based on the Minimum Basic Set discharge registry of the Department of Health (Region of Murcia, Spain). Index hospitalizations with HF as principal diagnosis (n=27,581) were identified. Transfers between centers were merged into one discharge. Readmissions were defined as unplanned admissions to any hospital within 30-days after discharge.

RESULTS

In the 2003-2013 period, 30-day readmission rates had a relative mean annual growth of +1.36%, increasing from 17.6% to 22.1%, with similar trends for cardiovascular and non-cardiovascular causes. The figure of 22.1% decreased to 19.8% when only same-hospital readmissions were considered. Most readmissions were due to cardiovascular causes (60%), HF being the most common single cause (34%). The timing of readmission shows an early peak on the fourth day post discharge (+13.29%) due to causes other than HF, followed by a gradual decline (-3.32%); readmission for HF decreased steadily from the first day (-2.22%). Readmission for HF (12.7%) or non-cardiovascular causes (13.3%) had higher in-hospital mortality rates than the index hospitalization (9.2%, p<0.001). Age and comorbidity burden were the main predictors of any readmission, but the performance of a predictive model was poor.

CONCLUSION

These findings support the need for population-based strategies to reduce the burden of early-unplanned readmissions.

摘要

背景

如果要解决心力衰竭(HF)住院后早期再入院的负担问题,就需要可靠的数据。我们使用基于人群的关联数据研究了 11 年来 30 天内计划外再入院的情况、原因和时间。

方法

使用基于卫生部最低基本数据集出院登记处的行政关联数据(西班牙穆尔西亚地区),分析了 2003 年至 2013 年的所有住院治疗情况。确定了以 HF 为主诊断的指数住院治疗(n=27581)。将中心之间的转院合并为一次出院。将 30 天内再次入住任何医院定义为计划外入院。

结果

在 2003-2013 年期间,30 天再入院率的相对年均增长率为+1.36%,从 17.6%增加到 22.1%,心血管和非心血管原因均呈类似趋势。当仅考虑同一医院的再入院时,这一数字从 22.1%降至 19.8%。大多数再入院是由于心血管原因(60%),HF 是最常见的单一原因(34%)。再入院时间显示,由于 HF 以外的原因,出院后第四天的再入院率出现早期高峰(增加 13.29%),随后逐渐下降(下降 3.32%);HF 的再入院率从第一天开始稳步下降(下降 2.22%)。HF(12.7%)或非心血管原因(13.3%)的再入院住院死亡率高于指数住院(9.2%,p<0.001)。年龄和合并症负担是任何再入院的主要预测因素,但预测模型的性能不佳。

结论

这些发现支持采取基于人群的策略来减轻早期计划外再入院的负担。

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