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根据疾病聚类,老年患者的住院内死亡和不良临床事件:REPOSI 研究。

In-hospital death and adverse clinical events in elderly patients according to disease clustering: the REPOSI study.

机构信息

Spedali Civili, Department of Medical and Surgery Sciences, Division of Internal Medicine I, University of Brescia, Brescia, Italy.

出版信息

Rejuvenation Res. 2010 Aug;13(4):469-77. doi: 10.1089/rej.2009.1002.

Abstract

OBJECTIVE

The aim of the study was to recognize clusters of diseases among hospitalized elderly and to identify groups of patients at risk of in-hospital death and adverse clinical events according to disease clustering.

METHOD

This was a cross-sectional study conducted in 38 internal medicine and geriatric wards in Italy participating in the Registro Politerapie SIMI (REPOSI) study during 2008. The subjects were 1,332 inpatients aged 65 years or older. Clusters of diseases (i.e., two or more co-occurrent diseases) were identified using the odds ratios (OR) for the associations between pairs of conditions, followed by cluster analysis. Logistic regression models were used to evaluate the effect of disease clusters on in-hospital death and adverse clinical events.

RESULTS

A total of 86.7% of the patients were discharged, 8.3% were transferred to another hospital unit, and 5.0% died during hospitalization; 36.4% of the patients had at least one adverse clinical event. Patients affected by the clusters, including heart failure (HF) and either chronic renal failure (CRF) or chronic obstructive pulmonary disease, had a significant association with in-hospital death (OR, 4.3;95% confidence interval [CI], 1.6-11.5; OR, 2.9; 95% CI, 1.1-8.3, respectively), as well as patients affected by CRF and anemia (OR, 6.1; 95% CI, 2.3-16.2). The cluster including HF and CRF was also associated with adverse clinical events (OR, 3.5; 95% CI, 1.5-7.8). The effect of both HF and CRF and anemia and CRF on in-hospital death was additive.

CONCLUSION

Several groups of older patients at risk of in-hospital death and adverse clinical events were identified according to disease clustering. Knowledge of the relationship among co-occurring diseases may help developing strategies to improve clinical practice and preventative interventions.

摘要

目的

本研究旨在识别住院老年患者的疾病集群,并根据疾病聚类识别有住院死亡和不良临床事件风险的患者群体。

方法

这是一项在意大利 38 个内科和老年病房进行的横断面研究,该研究参与了 2008 年的 Registro Politerapie SIMI(REPOSI)研究。研究对象为 1332 名年龄在 65 岁及以上的住院患者。使用条件之间关联的比值比(OR)识别疾病集群(即两种或多种同时发生的疾病),然后进行聚类分析。使用逻辑回归模型评估疾病集群对住院死亡和不良临床事件的影响。

结果

共有 86.7%的患者出院,8.3%转至其他医院病房,5.0%住院期间死亡;36.4%的患者发生至少一次不良临床事件。患有心力衰竭(HF)和慢性肾功能衰竭(CRF)或慢性阻塞性肺疾病的患者集群与住院死亡显著相关(OR,4.3;95%置信区间[CI],1.6-11.5;OR,2.9;95% CI,1.1-8.3),以及患有 CRF 和贫血的患者(OR,6.1;95% CI,2.3-16.2)。包括 HF 和 CRF 的集群也与不良临床事件相关(OR,3.5;95% CI,1.5-7.8)。HF 和 CRF 以及贫血和 CRF 对住院死亡的影响是相加的。

结论

根据疾病聚类识别出了几组有住院死亡和不良临床事件风险的老年患者。了解同时发生的疾病之间的关系可能有助于制定改善临床实践和预防干预的策略。

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