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COVID-19 老年患者住院死亡率的预测因素:COVIDAge 研究。

Predictors of In-Hospital Mortality in Older Patients With COVID-19: The COVIDAge Study.

机构信息

Division of Geriatrics, University Hospitals of Geneva, Geneva, Switzerland.

Divison of Internal Medicine for the aged, University Hospitals of Geneva, Geneva, Switzerland.

出版信息

J Am Med Dir Assoc. 2020 Nov;21(11):1546-1554.e3. doi: 10.1016/j.jamda.2020.09.014. Epub 2020 Sep 15.

Abstract

OBJECTIVE

To determine predictors of in-hospital mortality related to COVID-19 in older patients.

DESIGN

Retrospective cohort study.

SETTING AND PARTICIPANTS

Patients aged 65 years and older hospitalized for a diagnosis of COVID-19.

METHODS

Data from hospital admission were collected from the electronic medical records. Logistic regression and Cox proportional hazard models were used to predict mortality, our primary outcome. Variables at hospital admission were categorized according to the following domains: demographics, clinical history, comorbidities, previous treatment, clinical status, vital signs, clinical scales and scores, routine laboratory analysis, and imaging results.

RESULTS

Of a total of 235 Caucasian patients, 43% were male, with a mean age of 86 ± 6.5 years. Seventy-six patients (32%) died. Nonsurvivors had a shorter number of days from initial symptoms to hospitalization (P = .007) and the length of stay in acute wards than survivors (P < .001). Similarly, they had a higher prevalence of heart failure (P = .044), peripheral artery disease (P = .009), crackles at clinical status (P < .001), respiratory rate (P = .005), oxygen support needs (P < .001), C-reactive protein (P < .001), bilateral and peripheral infiltrates on chest radiographs (P = .001), and a lower prevalence of headache (P = .009). Furthermore, nonsurvivors were more often frail (P < .001), with worse functional status (P < .001), higher comorbidity burden (P < .001), and delirium at admission (P = .007). A multivariable Cox model showed that male sex (HR 4.00, 95% CI 2.08-7.71, P < .001), increased fraction of inspired oxygen (HR 1.06, 95% CI 1.03-1.09, P < .001), and crackles (HR 2.42, 95% CI 1.15-6.06, P = .019) were the best predictors of mortality, while better functional status was protective (HR 0.98, 95% CI 0.97-0.99, P = .001).

CONCLUSIONS AND IMPLICATIONS

In older patients hospitalized for COVID-19, male sex, crackles, a higher fraction of inspired oxygen, and functionality were independent risk factors of mortality. These routine parameters, and not differences in age, should be used to evaluate prognosis in older patients.

摘要

目的

确定与 COVID-19 相关的老年患者住院期间死亡率的预测因素。

设计

回顾性队列研究。

地点和参与者

年龄在 65 岁及以上、因 COVID-19 住院的患者。

方法

从电子病历中收集入院时的数据。使用逻辑回归和 Cox 比例风险模型预测死亡率,这是我们的主要结局。入院时的变量根据以下域进行分类:人口统计学、临床病史、合并症、既往治疗、临床状态、生命体征、临床量表和评分、常规实验室分析和影像学结果。

结果

在总共 235 名白人患者中,43%为男性,平均年龄为 86 ± 6.5 岁。76 名患者(32%)死亡。非幸存者从初始症状到住院的天数更短(P =.007),急性病房的住院时间也比幸存者短(P <.001)。同样,他们心力衰竭的发生率更高(P =.044)、外周动脉疾病(P =.009)、临床状态时出现爆裂音(P <.001)、呼吸频率(P =.005)、需要氧支持(P <.001)、C 反应蛋白(P <.001)、胸部 X 线片上出现双侧和外周浸润(P =.001)、头痛的发生率更低(P =.009)。此外,非幸存者更常出现衰弱(P <.001)、功能状态更差(P <.001)、合并症负担更重(P <.001)、入院时出现谵妄(P =.007)。多变量 Cox 模型显示,男性(HR 4.00,95%CI 2.08-7.71,P <.001)、吸入氧分数增加(HR 1.06,95%CI 1.03-1.09,P <.001)和爆裂音(HR 2.42,95%CI 1.15-6.06,P =.019)是死亡率的最佳预测因素,而更好的功能状态具有保护作用(HR 0.98,95%CI 0.97-0.99,P =.001)。

结论和意义

在因 COVID-19 住院的老年患者中,男性、爆裂音、较高的吸入氧分数和功能是死亡率的独立危险因素。这些常规参数,而不是年龄差异,应用于评估老年患者的预后。

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