Department of Cardiology, Norfolk and Norwich University Hospital, Norwich, UK.
Norwich Medical School, University of East Anglia, Norwich, UK.
JAMA Intern Med. 2023 Jun 1;183(6):566-580. doi: 10.1001/jamainternmed.2023.0750.
Post-COVID-19 condition (PCC) is a complex heterogeneous disorder that has affected the lives of millions of people globally. Identification of potential risk factors to better understand who is at risk of developing PCC is important because it would allow for early and appropriate clinical support.
To evaluate the demographic characteristics and comorbidities that have been found to be associated with an increased risk of developing PCC.
Medline and Embase databases were systematically searched from inception to December 5, 2022.
The meta-analysis included all published studies that investigated the risk factors and/or predictors of PCC in adult (≥18 years) patients.
Odds ratios (ORs) for each risk factor were pooled from the selected studies. For each potential risk factor, the random-effects model was used to compare the risk of developing PCC between individuals with and without the risk factor. Data analyses were performed from December 5, 2022, to February 10, 2023.
The risk factors for PCC included patient age; sex; body mass index, calculated as weight in kilograms divided by height in meters squared; smoking status; comorbidities, including anxiety and/or depression, asthma, chronic kidney disease, chronic obstructive pulmonary disease, diabetes, immunosuppression, and ischemic heart disease; previous hospitalization or ICU (intensive care unit) admission with COVID-19; and previous vaccination against COVID-19.
The initial search yielded 5334 records of which 255 articles underwent full-text evaluation, which identified 41 articles and a total of 860 783 patients that were included. The findings of the meta-analysis showed that female sex (OR, 1.56; 95% CI, 1.41-1.73), age (OR, 1.21; 95% CI, 1.11-1.33), high BMI (OR, 1.15; 95% CI, 1.08-1.23), and smoking (OR, 1.10; 95% CI, 1.07-1.13) were associated with an increased risk of developing PCC. In addition, the presence of comorbidities and previous hospitalization or ICU admission were found to be associated with high risk of PCC (OR, 2.48; 95% CI, 1.97-3.13 and OR, 2.37; 95% CI, 2.18-2.56, respectively). Patients who had been vaccinated against COVID-19 with 2 doses had a significantly lower risk of developing PCC compared with patients who were not vaccinated (OR, 0.57; 95% CI, 0.43-0.76).
This systematic review and meta-analysis demonstrated that certain demographic characteristics (eg, age and sex), comorbidities, and severe COVID-19 were associated with an increased risk of PCC, whereas vaccination had a protective role against developing PCC sequelae. These findings may enable a better understanding of who may develop PCC and provide additional evidence for the benefits of vaccination.
PROSPERO Identifier: CRD42022381002.
新冠病毒后疾病(PCC)是一种复杂的异质障碍,已影响到全球数百万人的生活。确定潜在的风险因素,以更好地了解谁有发展 PCC 的风险,这一点很重要,因为这将允许早期和适当的临床支持。
评估与发展 PCC 风险增加相关的人口统计学特征和合并症。
从成立到 2022 年 12 月 5 日,系统地在 Medline 和 Embase 数据库中进行了搜索。
荟萃分析包括所有已发表的研究,这些研究调查了成年(≥18 岁)患者中 PCC 的风险因素和/或预测因素。
从选定的研究中汇总了每个风险因素的优势比(ORs)。对于每个潜在的风险因素,使用随机效应模型比较了有和没有该风险因素的个体发生 PCC 的风险。数据分析于 2022 年 12 月 5 日至 2023 年 2 月 10 日进行。
PCC 的风险因素包括患者年龄;性别;体重指数,以千克为单位除以米的平方;吸烟状况;合并症,包括焦虑和/或抑郁、哮喘、慢性肾脏病、慢性阻塞性肺疾病、糖尿病、免疫抑制和缺血性心脏病;以前因 COVID-19 住院或 ICU(重症监护病房)入院;以及以前接种过 COVID-19 疫苗。
最初的搜索产生了 5334 条记录,其中 255 篇文章进行了全文评估,确定了 41 篇文章和总共 860783 名患者被纳入。荟萃分析的结果表明,女性(OR,1.56;95%CI,1.41-1.73)、年龄(OR,1.21;95%CI,1.11-1.33)、高 BMI(OR,1.15;95%CI,1.08-1.23)和吸烟(OR,1.10;95%CI,1.07-1.13)与发展 PCC 的风险增加相关。此外,存在合并症和以前的住院或 ICU 入院被发现与 PCC 的高风险相关(OR,2.48;95%CI,1.97-3.13 和 OR,2.37;95%CI,2.18-2.56,分别)。与未接种疫苗的患者相比,接种了 2 剂 COVID-19 疫苗的患者发生 PCC 的风险显著降低(OR,0.57;95%CI,0.43-0.76)。
这项系统评价和荟萃分析表明,某些人口统计学特征(例如年龄和性别)、合并症和严重的 COVID-19 与 PCC 的风险增加相关,而接种疫苗对发展 PCC 后遗症具有保护作用。这些发现可以帮助更好地了解谁可能发展 PCC,并为疫苗接种的益处提供额外的证据。
PROSPERO 标识符:CRD42022381002。