Analysis of influencing factors on long COVID in COVID-19 patients infected with omicron variant three months after discharge: a cross-sectional study

Autor: Hang Shang, Tianying Chang, Wei Yang, Li Shi, Shaodan Hu, Lin Tian, Jixiang Ren, Tan Wang, Jian Wang, Jiajuan Guo, Yingzi Cui
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: BMC Infectious Diseases, Vol 24, Iss 1, Pp 1-9 (2024)
Druh dokumentu: article
ISSN: 1471-2334
DOI: 10.1186/s12879-023-08947-w
Popis: Abstract Background The purpose of this study is to analyze the influencing factors associated with Long-COVID in patients infected with Omicron variant of COVID-19 in Changchun City, Jilin Province, China three months after discharge in March 2022. Methods In this study, we conducted a telephone follow-up based on the real-world data collected from the Affiliated Hospital to Changchun University of Chinese Medicine, Changchun Tongyuan Shelter Hospital and Changchun Infectious Disease Hospital during the COVID-19 epidemic in Changchun in March 2022. We used the Global COVID-19 Clinical Platform Case Report Form for Post COVID condition as a follow-up questionnaire to collect the general information, past medical history, clinical symptoms, COVID-19 vaccine inoculation doses, and other relevant information to analyze the symptom characteristics of COVID-19 patients three months after discharge from the hospital and related factors affecting Long COVID. Results A total of 1,806 patients with COVID-19 were included in this study, 977 males and 829 females, with a mean age of 38.5 [30.0, 49.4] years, and the number of female patients suffering from Long COVID (50.87%) was greater than male patients (p = 0.023). The binary logistic regression analysis of factors influencing Long COVID showed that smoking history (OR (95%CI) = 0.551(0.425–0.714), p
Databáze: Directory of Open Access Journals
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