We found a match
Your institution may have rights to this item. Sign in to continue.
- Title
Obesity and lipid metabolism disorders determine the risk for development of long COVID syndrome: a cross-sectional study from 50,402 COVID-19 patients.
- Authors
Loosen, Sven H.; Jensen, Björn-Erik Ole; Tanislav, Christian; Luedde, Tom; Roderburg, Christoph; Kostev, Karel
- Abstract
Purpose: 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. Methods: 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. Results: 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. Conclusion: 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.
- Subjects
GERMANY; LIPID metabolism; OBESITY complications; CONFIDENCE intervals; ASTHMA; POST-acute COVID-19 syndrome; CROSS-sectional method; MULTIVARIATE analysis; AGE distribution; RISK assessment; METABOLIC disorders; SEX distribution; DESCRIPTIVE statistics; MENTAL depression; LOGISTIC regression analysis; ODDS ratio; TUMORS; COMORBIDITY; DISEASE risk factors; DISEASE complications
- Publication
Infection, 2022, Vol 50, Issue 5, p1165
- ISSN
0300-8126
- Publication type
Article
- DOI
10.1007/s15010-022-01784-0