Clinic for Gastroenterology, Hepatology and Infectious Diseases, University Hospital Düsseldorf, Medical Faculty of Heinrich Heine University Düsseldorf, Moorenstraße 5, 40225, Düsseldorf, Germany.
Department of Geriatrics and Neurology, Diakonie Hospital Jung Stilling, Siegen, Germany.
Infection. 2022 Oct;50(5):1165-1170. doi: 10.1007/s15010-022-01784-0. Epub 2022 Mar 30.
Metabolic disorders have been identified as major risk factors for severe acute courses of COVID-19. With decreasing numbers of infections in many countries, the long COVID syndrome (LCS) represents the next major challenge in pandemic management, warranting the precise definition of risk factors for LCS development.
We identified 50,402 COVID-19 patients in the Disease Analyzer database (IQVIA) featuring data from 1056 general practices in Germany. Multivariate logistic regression analysis was used to identify risk factors for the development of LCS.
Of the 50,402 COVID-19 patients included into this analysis, 1,708 (3.4%) were diagnosed with LCS. In a multivariate regression analysis, we identified lipid metabolism disorders (OR 1.46, 95% CI 1.28-1.65, p < 0.001) and obesity (OR 1.25, 95% CI 1.08-1.44, p = 0.003) as strong risk factors for the development of LCS. Besides these metabolic factors, patients' age between 46 and 60 years (compared to age ≤ 30, (OR 1.81 95% CI 1.54-2.13, p < 0.001), female sex (OR 1.33, 95% CI 1.20-1.47, p < 0.001) as well as pre-existing asthma (OR 1.67, 95% CI 1.39-2.00, p < 0.001) and depression (OR 1.27, 95% CI 1.09-1.47, p = < 0.002) in women, and cancer (OR 1.4, 95% CI 1.09-1.95, p = < 0.012) in men were associated with an increased likelihood of developing LCS.
Lipid metabolism disorders and obesity represent age-independent risk factors for the development of LCS, suggesting that metabolic alterations determine the risk for unfavorable disease courses along all phases of COVID-19.
代谢紊乱已被确定为严重急性 COVID-19 病程的主要危险因素。随着许多国家感染人数的减少,长新冠综合征(LCS)是大流行管理的下一个主要挑战,需要明确确定 LCS 发展的危险因素。
我们在 IQVIA 的 Disease Analyzer 数据库中确定了 50402 名 COVID-19 患者,这些患者的数据来自德国的 1056 家普通诊所。使用多变量逻辑回归分析来确定发展为 LCS 的危险因素。
在这项分析中,50402 名 COVID-19 患者中有 1708 名(3.4%)被诊断为 LCS。在多变量回归分析中,我们发现脂质代谢紊乱(OR 1.46,95%CI 1.28-1.65,p<0.001)和肥胖(OR 1.25,95%CI 1.08-1.44,p=0.003)是发展为 LCS 的强烈危险因素。除了这些代谢因素外,46 至 60 岁之间的患者年龄(与年龄≤30 岁相比,(OR 1.81 95%CI 1.54-2.13,p<0.001),女性(OR 1.33,95%CI 1.20-1.47,p<0.001)以及先前存在的哮喘(OR 1.67,95%CI 1.39-2.00,p<0.001)和抑郁(OR 1.27,95%CI 1.09-1.47,p=0.002)在女性中,以及男性中的癌症(OR 1.4,95%CI 1.09-1.95,p=0.012)与发展为 LCS 的可能性增加相关。
脂质代谢紊乱和肥胖是发展为 LCS 的与年龄无关的危险因素,这表明代谢改变决定了 COVID-19 所有阶段不利疾病过程的风险。