ABSTRACT
BACKGROUND: It is known that hepatic steatosis, diabetes, obesity, and metabolic syndrome are poor prognostic criteria for coronavirus disease 2019. Closely associated with these factors, pancreatic steatosis has yet to be clarified regarding its incidence in patients with coronavirus disease 2019 and its effect on prognosis. This study aimed to compare the incidence of pancreatic steatosis detected in non-contrast chest computed tomography examinations of patients with coronavirus disease 2019 pneumonia at the time of diagnosis with that of the general population. METHODS: In the present retrospective study, which included 399 patients, densities of 5 different regions of the pancreas and 4 different regions of the spleen were measured, and the mean value of the measured densities was obtained. The difference between the mean pancreatic attenuation and splenic attenuation was defined as pancreatic steatosis if pancreatic attenuation-splenic attenuation ≤-5. RESULTS: The median pancreatic density in patients with coronavirus disease 2019 was significantly lower than in those who tested negative (P = .034). In patients who were coronavirus disease 2019 positive, the incidence of pancreatic steatosis was statistically significantly higher (54.3% vs. 43.0%, P = .031). CONCLUSIONS: According to the non-contrast chest computed tomography examination of the patients with coronavirus disease 2019 performed at the time of admission, the incidence of pancreatic steatosis was higher than that of the normal population of a similar age group. Given that patients with pancreatic steatosis and the accompanying metabolic syndrome are more prone to inflammation, the findings suggest that these patients underwent more chest computed tomography examinations at the time of diagnosis. Therefore, pancreatic steatosis may be a poor prognostic factor in coronavirus disease 2019.
Subject(s)
COVID-19 , Lipid Metabolism Disorders , Metabolic Syndrome , Pancreatic Diseases , Humans , Metabolic Syndrome/complications , Metabolic Syndrome/diagnostic imaging , Metabolic Syndrome/epidemiology , Retrospective Studies , Incidence , COVID-19/diagnostic imaging , COVID-19/epidemiology , COVID-19/complications , Pancreatic Diseases/diagnostic imaging , Pancreatic Diseases/epidemiology , Pancreatic Diseases/complications , Lipid Metabolism Disorders/complications , Tomography, X-Ray Computed/methods , COVID-19 TestingABSTRACT
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.