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长期护理机构中感染 SARS-CoV-2 的居民的死亡预测因素。

Predictors of mortality among long-term care residents with SARS-CoV-2 infection.

机构信息

ICES (formerly Institute for Clinical Evaluative Sciences), Toronto, Canada.

Peter Munk Cardiac Centre, University Health Network, Toronto, Canada.

出版信息

J Am Geriatr Soc. 2021 Dec;69(12):3377-3388. doi: 10.1111/jgs.17425. Epub 2021 Sep 20.

Abstract

BACKGROUND

While individuals living in long-term care (LTC) homes have experienced adverse outcomes of SARS-CoV-2 infection, few studies have examined a broad range of predictors of 30-day mortality in this population.

METHODS

We studied residents living in LTC homes in Ontario, Canada, who underwent PCR testing for SARS-CoV-2 infection from January 1 to August 31, 2020, and examined predictors of all-cause death within 30 days after a positive test for SARS-CoV-2. We examined a broad range of risk factor categories including demographics, comorbidities, functional status, laboratory tests, and characteristics of the LTC facility and surrounding community were examined. In total, 304 potential predictors were evaluated for their association with mortality using machine learning (Random Forest).

RESULTS

A total of 64,733 residents of LTC, median age 86 (78, 91) years (31.8% men), underwent SARS-CoV-2 testing, of whom 5029 (7.8%) tested positive. Thirty-day mortality rates were 28.7% (1442 deaths) after a positive test. Of 59,702 residents who tested negative, 2652 (4.4%) died within 30 days of testing. Predictors of mortality after SARS-CoV-2 infection included age, functional status (e.g., activity of daily living score and pressure ulcer risk), male sex, undernutrition, dehydration risk, prior hospital contacts for respiratory illness, and duration of comorbidities (e.g., heart failure, COPD). Lower GFR, hemoglobin concentration, lymphocyte count, and serum albumin were associated with higher mortality. After combining all covariates to generate a risk index, mortality rate in the highest risk quartile was 48.3% compared with 7% in the first quartile (odds ratio 12.42, 95%CI: 6.67, 22.80, p < 0.001). Deaths continued to increase rapidly for 15 days after the positive test.

CONCLUSIONS

LTC residents, particularly those with reduced functional status, comorbidities, and abnormalities on routine laboratory tests, are at high risk for mortality after SARS-CoV-2 infection. Recognizing high-risk residents in LTC may enhance institution of appropriate preventative measures.

摘要

背景

尽管长期护理(LTC)机构中的居民经历了 SARS-CoV-2 感染的不良后果,但很少有研究检查这一人群中 30 天死亡率的广泛预测因素。

方法

我们研究了 2020 年 1 月 1 日至 8 月 31 日期间在加拿大安大略省 LTC 机构中接受 SARS-CoV-2 检测的居民,并检查了 SARS-CoV-2 检测呈阳性后 30 天内全因死亡的预测因素。我们检查了广泛的风险因素类别,包括人口统计学、合并症、功能状态、实验室检查以及 LTC 机构和周围社区的特征。共有 304 个潜在预测因素使用机器学习(随机森林)评估其与死亡率的相关性。

结果

共有 64733 名 LTC 居民接受了 SARS-CoV-2 检测,中位年龄为 86(78,91)岁(31.8%为男性),其中 5029 人(7.8%)检测呈阳性。阳性检测后 30 天死亡率为 28.7%(1442 例死亡)。在 59702 名检测呈阴性的居民中,有 2652 名(4.4%)在检测后 30 天内死亡。SARS-CoV-2 感染后死亡的预测因素包括年龄、功能状态(例如,日常生活活动评分和压疮风险)、男性、营养不良、脱水风险、因呼吸道疾病先前住院接触以及合并症的持续时间(例如心力衰竭、COPD)。较低的肾小球滤过率、血红蛋白浓度、淋巴细胞计数和血清白蛋白与较高的死亡率相关。在结合所有协变量生成风险指数后,最高风险四分位数的死亡率为 48.3%,而第一四分位数为 7%(比值比 12.42,95%CI:6.67,22.80,p<0.001)。阳性检测后 15 天内死亡率仍持续快速上升。

结论

LTC 居民,尤其是那些功能状态、合并症和常规实验室检查异常的居民,在 SARS-CoV-2 感染后死亡的风险很高。识别 LTC 中的高危居民可能会增强适当预防措施的实施。

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