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一项回顾性队列研究,分析了西班牙暴露于 COVID-19 的养老院患者死亡的相关风险因素。

A retrospective cohort study of risk factors for mortality among nursing homes exposed to COVID-19 in Spain.

机构信息

Fight AIDS and Infectious Diseases Foundation, Badalona, Spain.

Universitat Autònoma de Barcelona, Barcelona, Spain.

出版信息

Nat Aging. 2021 Jul;1(7):579-584. doi: 10.1038/s43587-021-00079-7. Epub 2021 Jun 28.

DOI:10.1038/s43587-021-00079-7
PMID:37117802
Abstract

Long-term care (LTC) facilities have shown remarkably high mortality rates during the coronavirus disease 2019 (COVID-19) outbreak in many countries, and different risk factors for mortality have been identified in this setting. Using facilities as the unit of analysis, we investigated multiple variables covering facility characteristics and socioeconomic characteristics of the geographic location to identify risk factors for excess mortality from a comprehensive perspective. Furthermore, we used a clustering approach to detect patterns in datasets and generate hypotheses regarding potential relationships between types of nursing homes and mortality trends. Our retrospective analysis included 167 nursing homes providing LTC to 8,716 residents during the COVID-19 outbreak in Catalonia (northeast Spain). According to multiple regression analysis, COVID-19-related and overall mortality at the facility level were significantly associated with a higher percentage of patients with complex diseases, lower scores on pandemic preparedness measures and higher population incidence of COVID-19 in the surrounding population. When grouping nursing homes into eight clusters based on common features, we found higher mortality rates in four clusters, mainly characterized by a higher proportion of residents with complex chronic conditions or advanced diseases, lower scores on pandemic preparedness, being located in rural areas and larger capacity, respectively.

摘要

在许多国家,长期护理(LTC)机构在 2019 年冠状病毒病(COVID-19)爆发期间显示出极高的死亡率,并且在这种环境下已经确定了不同的死亡风险因素。我们使用机构作为分析单位,从多个角度调查了涵盖设施特征和地理位置的社会经济特征的多个变量,以从全面的角度确定超额死亡率的风险因素。此外,我们使用聚类方法来检测数据集的模式,并生成关于养老院类型和死亡率趋势之间潜在关系的假设。我们的回顾性分析包括在西班牙东北部加泰罗尼亚 COVID-19 爆发期间为 8716 名居民提供 LTC 的 167 家养老院。根据多元回归分析,与设施相关的 COVID-19 相关死亡率和总体死亡率与患有复杂疾病的患者比例较高、大流行准备措施得分较低以及周围人群中 COVID-19 的人口发病率较高显著相关。当根据共同特征将养老院分为八个聚类时,我们发现四个聚类的死亡率较高,主要特征是患有复杂慢性病或晚期疾病的居民比例较高、大流行准备得分较低、位于农村地区和容量较大。

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