DOI: 10.3390/medsci14070745 ISSN: 2076-3271

Para-Aortic Adipose Tissue and Severe COVID-19: A Retrospective Cross-Sectional Study

Anna E. Bragina, Yulia Rodionova, Tatiana Ishina, Ivan Medvedev, Lubov Vasileva, Natalia Druzhinina, Karina Umbetova, Olga Belaya, Andrew Gorobchenko, Anna Khailova, Anastasiya Marchuk, Ekaterina Barsukova, Ekaterina Aleksandrova, Valery Podzolkov

Background/Objectives: Obesity is a well-established risk factor for severe COVID-19, largely mediated by chronic inflammation originating from adipose tissue. The role of para-aortic adipose tissue (PAT)—a component of perivascular adipose tissue in COVID-19 severity remains poorly understood. This study aimed to investigate the association between PAT area and the severity of acute SARS-CoV-2 infection, and whether it provides information beyond established clinical and laboratory factors. Methods: This retrospective single-center cohort study included 279 hospitalized patients with confirmed COVID-19 pneumonia. Based on disease severity, patients were divided into moderate and severe groups. PAT area was measured semi-automatically on a single chest CT slice. Sequential multivariable logistic regression models were fitted: Model 1 (PAT alone), Model 2 (PAT + age + sex), Model 3 (primary; PAT + age + sex + BMI), Model 4 (Model 3 + smoking + diabetes + hypertension), and Model 5 (Model 4 + CRP + NLR). Collinearity was assessed using the variance inflation factor (VIF). Effect estimates for PAT were expressed per 0.1 cm2 increase. Results: In the unadjusted model (n = 279), PAT area was associated with severe COVID-19 (OR 1.19 per 0.1 cm2; 95% CI 1.01–1.40; p = 0.038). After adjustment for age and sex, the association was no longer significant (OR 1.10; 95% CI 0.91–1.33; p = 0.325). In the primary model adjusted for age, sex, and BMI (n = 279, with multiple imputation for missing BMI, CRP, and NLR), PAT was not independently associated with severe disease (OR 0.95; 95% CI 0.77–1.17; p = 0.644), while BMI (OR 1.10 per 1 kg/m2; 95% CI 1.04–1.16; p = 0.001), age (OR 1.03; 95% CI 1.01–1.05; p = 0.003), and male sex (OR 1.81; 95% CI 1.00–3.28; p = 0.057) remained associated. The association between PAT and severity was non-linear (p for non-linearity = 0.042). Firth-corrected estimates were virtually identical (OR 0.96; 95% CI 0.79–1.18; p = 0.705), and no influential observations were identified. Conclusions: In this cohort, PAT area measured on a single chest CT slice was not independently associated with severe COVID-19 after adjustment for age, sex, and BMI. The association was non-linear, and the linear estimate was unstable across models due to varying effective sample sizes. BMI, age, and male sex remained the strongest factors. Prospective studies using volumetric or attenuation-based measures of perivascular adipose tissue are needed to clarify its role.

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