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肥胖是 COVID-19 严重程度和死亡率的独立危险因素。

Obesity as an independent risk factor for COVID-19 severity and mortality.

机构信息

Department of Health Research Methods, Evidence & Impact, McMaster University, Hamilton, Canada.

Faculty Health Sciences, McMaster University, Hamilton, Canada.

出版信息

Cochrane Database Syst Rev. 2023 May 24;5(5):CD015201. doi: 10.1002/14651858.CD015201.

Abstract

BACKGROUND

Since December 2019, the world has struggled with the COVID-19 pandemic. Even after the introduction of various vaccines, this disease still takes a considerable toll. In order to improve the optimal allocation of resources and communication of prognosis, healthcare providers and patients need an accurate understanding of factors (such as obesity) that are associated with a higher risk of adverse outcomes from the COVID-19 infection.

OBJECTIVES

To evaluate obesity as an independent prognostic factor for COVID-19 severity and mortality among adult patients in whom infection with the COVID-19 virus is confirmed.

SEARCH METHODS

MEDLINE, Embase, two COVID-19 reference collections, and four Chinese biomedical databases were searched up to April 2021.

SELECTION CRITERIA

We included case-control, case-series, prospective and retrospective cohort studies, and secondary analyses of randomised controlled trials if they evaluated associations between obesity and COVID-19 adverse outcomes including mortality, mechanical ventilation, intensive care unit (ICU) admission, hospitalisation, severe COVID, and COVID pneumonia. Given our interest in ascertaining the independent association between obesity and these outcomes, we selected studies that adjusted for at least one factor other than obesity. Studies were evaluated for inclusion by two independent reviewers working in duplicate.  DATA COLLECTION AND ANALYSIS: Using standardised data extraction forms, we extracted relevant information from the included studies. When appropriate, we pooled the estimates of association across studies with the use of random-effects meta-analyses. The Quality in Prognostic Studies (QUIPS) tool provided the platform for assessing the risk of bias across each included study. In our main comparison, we conducted meta-analyses for each obesity class separately. We also meta-analysed unclassified obesity and obesity as a continuous variable (5 kg/m increase in BMI (body mass index)). We used the GRADE framework to rate our certainty in the importance of the association observed between obesity and each outcome. As obesity is closely associated with other comorbidities, we decided to prespecify the minimum adjustment set of variables including age, sex, diabetes, hypertension, and cardiovascular disease for subgroup analysis.  MAIN RESULTS: We identified 171 studies, 149 of which were included in meta-analyses.  As compared to 'normal' BMI (18.5 to 24.9 kg/m) or patients without obesity, those with obesity classes I (BMI 30 to 35 kg/m), and II (BMI 35 to 40 kg/m) were not at increased odds for mortality (Class I: odds ratio [OR] 1.04, 95% confidence interval [CI] 0.94 to 1.16, high certainty (15 studies, 335,209 participants); Class II: OR 1.16, 95% CI 0.99 to 1.36, high certainty (11 studies, 317,925 participants)). However, those with class III obesity (BMI 40 kg/m and above) may be at increased odds for mortality (Class III: OR 1.67, 95% CI 1.39 to 2.00, low certainty, (19 studies, 354,967 participants)) compared to normal BMI or patients without obesity. For mechanical ventilation, we observed increasing odds with higher classes of obesity in comparison to normal BMI or patients without obesity (class I: OR 1.38, 95% CI 1.20 to 1.59, 10 studies, 187,895 participants, moderate certainty; class II: OR 1.67, 95% CI 1.42 to 1.96, 6 studies, 171,149 participants, high certainty; class III: OR 2.17, 95% CI 1.59 to 2.97, 12 studies, 174,520 participants, high certainty). However, we did not observe a dose-response relationship across increasing obesity classifications for ICU admission and hospitalisation.

AUTHORS' CONCLUSIONS: Our findings suggest that obesity is an important independent prognostic factor in the setting of COVID-19. Consideration of obesity may inform the optimal management and allocation of limited resources in the care of COVID-19 patients.

摘要

背景

自 2019 年 12 月以来,全球一直在与 COVID-19 大流行作斗争。尽管引入了各种疫苗,但这种疾病仍然造成了相当大的损失。为了改善资源的最佳配置和预后的沟通,医疗保健提供者和患者需要准确了解与 COVID-19 感染不良结局相关的因素(如肥胖)。

目的

评估肥胖作为 COVID-19 病毒感染成人患者严重程度和死亡率的独立预后因素。

检索方法

截至 2021 年 4 月,我们检索了 MEDLINE、Embase、两个 COVID-19 参考集和四个中文生物医学数据库。

选择标准

如果研究评估了肥胖与包括死亡率、机械通气、重症监护病房(ICU)入院、住院、严重 COVID 和 COVID 肺炎在内的 COVID-19 不良结局之间的关联,我们纳入病例对照、病例系列、前瞻性和回顾性队列研究,以及随机对照试验的二次分析。鉴于我们对确定肥胖与这些结局之间的独立关联感兴趣,我们选择了至少调整除肥胖以外的一个因素的研究。使用标准数据提取表格,我们从纳入的研究中提取相关信息。在适当的情况下,我们使用随机效应荟萃分析对研究间的关联估计值进行合并。质量预后研究(QUIPS)工具为评估每个纳入研究的偏倚风险提供了平台。在我们的主要比较中,我们分别对每个肥胖类别进行了荟萃分析。我们还对未分类的肥胖和肥胖作为连续变量(BMI 增加 5 kg/m)进行了荟萃分析。我们使用 GRADE 框架来评估肥胖与每个结局之间观察到的关联的重要性的确定性。由于肥胖与其他合并症密切相关,我们决定预设包括年龄、性别、糖尿病、高血压和心血管疾病在内的最小调整变量集,用于亚组分析。

主要结果

我们确定了 171 项研究,其中 149 项研究纳入荟萃分析。与“正常”BMI(18.5 至 24.9 kg/m)或没有肥胖的患者相比,BMI 为 30 至 35 kg/m 的肥胖 I 级和 BMI 为 35 至 40 kg/m 的肥胖 II 级患者的死亡率没有增加(肥胖 I 级:比值比[OR]1.04,95%置信区间[CI]0.94 至 1.16,高确定性[15 项研究,335209 名参与者];肥胖 II 级:OR1.16,95%CI0.99 至 1.36,高确定性[11 项研究,317925 名参与者])。然而,BMI 为 40 kg/m 及以上的肥胖 III 级患者的死亡率可能增加(肥胖 III 级:OR1.67,95%CI1.39 至 2.00,低确定性,[19 项研究,354967 名参与者])与正常 BMI 或没有肥胖的患者相比。在机械通气方面,与正常 BMI 或没有肥胖的患者相比,我们观察到随着肥胖程度的增加,出现了更高的几率(肥胖 I 级:OR1.38,95%CI1.20 至 1.59,10 项研究,187895 名参与者,中度确定性;肥胖 II 级:OR1.67,95%CI1.42 至 1.96,6 项研究,171149 名参与者,高确定性;肥胖 III 级:OR2.17,95%CI1.59 至 2.97,12 项研究,174520 名参与者,高确定性)。然而,我们没有观察到 ICU 入院和住院的肥胖分类增加与结局之间的剂量-反应关系。

作者结论

我们的研究结果表明,肥胖是 COVID-19 患者的一个重要的独立预后因素。考虑肥胖可能为 COVID-19 患者的治疗和管理提供信息,并优化资源的分配。

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