Comparison of Lung CT Scan Findings in Immunodeficient and Immunocompetent Patients During COVID-19

AuthorHermin Mokrianen
AuthorMaryam Rostamien
AuthorSohrab Kolivanden
Issued Date2024-09-30en
AbstractBackground: Concerns asuppbout the consequences of COVID-19 in immunocompromised patients arose during the pandemic due to their higher risk of superinfection and complications. Computed Tomography (CT) scans play a confirmatory role in determining the severity of the disease. Objectives: Given the controversial evidence in this field, we conducted a study to compare lung CT scan findings in immunodeficient and immunocompetent patients with COVID-19. Methods: This cross-sectional study was performed on 1,246 immunodeficient and immunocompetent patients with COVID-19 from 2019 to 2022. During hospitalization and upon arrival at the hospital, all patients underwent lung CT scans, which were evaluated both quantitatively and qualitatively. The severity of lung involvement was graded as minimal, mild, moderate, or severe. All statistical analyses were performed using SPSS software version 22 and STATA version 15.1. Results: In this study, 50% of the patients were female. The mean age was 51 ± 15.4 years, and the mean length of hospitalization was 8.8 ± 5.8 days. Immune system defects were more common in patients over 50 years of age with diabetes, hypertension, malignancy, and renal dysfunction (P < 0.05). There was no significant difference in lung CT scan findings between immunodeficient and immunocompetent patients (P > 0.05). Conclusions: Based on our findings, there is no difference between these two groups of patients in terms of lung CT scan findings. Therefore, it would be beneficial to perform a meta-analysis for more accurate results in the future.en
DOIhttps://doi.org/10.5812/amh-148614en
KeywordCoronavirus Disease 2019en
KeywordImmunosuppressionen
KeywordComputed Tomographyen
KeywordImmune Systemen
PublisherBrieflandsen
TitleComparison of Lung CT Scan Findings in Immunodeficient and Immunocompetent Patients During COVID-19en
TypeResearch Articleen

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