Publication date: Oct 14, 2024

Patients undergoing hemodialysis (HD) are highly vulnerable during the COVID-19 pandemic. We aimed to investigate the risk factors associated with the severity of COVID-19 and death after the complete liberalization of epidemic control in China. We followed the outcomes of the HD patients of Central Hospital of Dalian University of Technology, from December 6, 2022 to January 8, 2023. The non-contrast enhanced chest computed tomography (CT) was performed on all COVID-19-infected hospitalized patients. We recorded the patient’s clinical characteristics, demographic features, vaccination history, treatments, and lung lesions. Odds ratios and 95% confidence intervals were calculated using logistic regression models to identify independent risk factors for COVID-19-related severity and mortality. This study included a total of 858 hemodialysis patients, of which 660 were infected with COVID-19. The mean age was (55. 61+/-14. 61) years, with a median (interquartile range) dialysis duration of 44. 5 (69. 5) months. Over half (60%) of the study participants were male, and the majority had hypertension as a comorbidity. Multivariable analysis revealed that age, pre-dialysis diastolic pressure, fever, white blood cell (WBC) count, potassium, β2-microglobulin level and calcium were independent risk factors for disease severity, while platelets, urea nitrogen and creatinine were identified as independent protective factors. Furthermore, total iron- binding capacity and vaccination were found to be independent protective factors against mortality, and WBC count was an independent risk factor for in-hospital mortality (p < 0. 05). The most frequent CT finding among hospitalized patients with chest symptoms was patchy shadow or pleural effusion, observed in 64. 8% of cases. More than half of the patients exhibited bilateral lung lesions, and over 60% involved two or more lobes. The majority of HD patients are susceptible to COVID-19. Demographic, clinical features and laboratory indicators can be used to predict the severity and mortality associated with COVID-19. Our findings will assist clinicians in identifying markers for the early detection of high mortality risk in HD patients with COVID-19.

Semantics

Original Article