TY - JOUR
T1 - Risk of chronic fatigue syndrome after COVID-19
T2 - A retrospective cohort study of 3227281 patients
AU - Chen, Chih Wei
AU - Lee, Hsun Hua
AU - Chang, Shu Hao
AU - Chen, Yi Ling
AU - Wang, Yu Hsun
AU - Leong, Pui Ying
AU - Wei, James Cheng Chung
N1 - Publisher Copyright:
© 2024 The Authors
PY - 2024/11
Y1 - 2024/11
N2 - Background: Many patients who recovered from COVID-19 still suffer from chronic fatigue syndrome (CFS). It was observed that patients with comorbidities were more prone to developing CFS. This research investigates the risk of post-COVID-19 CFS to assist healthcare professionals in reducing the risk of CFS. Methods: A retrospective cohort study is conducted to investigate the risk of post-COVID-19 CFS based on the TriNetX-sourced electronic health records. Factors including age, sex, race, vaccination, and severity of COVID-19 are analysed. Propensity score matching was applied to balance COVID-19 and non-COVID-19 cohorts. Kaplan-Meier analysis and Cox proportional hazard model were used to perform the relationship between COVID-19 and CFS risk. Results: This research involved 3227281 patients with COVID-19 and 3227281 with non-COVID-19 between 1st January 2020 and 31st December 2023. The incidence of CFS was higher in the COVID-19 group compared to the non-COVID-19 group at 1 follow-up intervals (HR 1.59, 95 % CI = 1.54–1.63). Subgroup analysis revealed increased CFS risk across different age groups (>18), sexes, races, and comorbid conditions, with notable variations. Conclusions: COVID-19 patients have a higher risk of developing CFS compared to individuals without COVID-19. The increased risk is particularly significant in adults aged 18 years and older.
AB - Background: Many patients who recovered from COVID-19 still suffer from chronic fatigue syndrome (CFS). It was observed that patients with comorbidities were more prone to developing CFS. This research investigates the risk of post-COVID-19 CFS to assist healthcare professionals in reducing the risk of CFS. Methods: A retrospective cohort study is conducted to investigate the risk of post-COVID-19 CFS based on the TriNetX-sourced electronic health records. Factors including age, sex, race, vaccination, and severity of COVID-19 are analysed. Propensity score matching was applied to balance COVID-19 and non-COVID-19 cohorts. Kaplan-Meier analysis and Cox proportional hazard model were used to perform the relationship between COVID-19 and CFS risk. Results: This research involved 3227281 patients with COVID-19 and 3227281 with non-COVID-19 between 1st January 2020 and 31st December 2023. The incidence of CFS was higher in the COVID-19 group compared to the non-COVID-19 group at 1 follow-up intervals (HR 1.59, 95 % CI = 1.54–1.63). Subgroup analysis revealed increased CFS risk across different age groups (>18), sexes, races, and comorbid conditions, with notable variations. Conclusions: COVID-19 patients have a higher risk of developing CFS compared to individuals without COVID-19. The increased risk is particularly significant in adults aged 18 years and older.
KW - Chronic fatigue syndrome
KW - COVID-19
KW - Hypertensive disease
KW - Ischemic heart diseases
KW - Overweight and obesity
UR - https://www.scopus.com/pages/publications/85206285872
U2 - 10.1016/j.jiph.2024.102559
DO - 10.1016/j.jiph.2024.102559
M3 - Article
C2 - 39418958
AN - SCOPUS:85206285872
SN - 1876-0341
VL - 17
JO - Journal of Infection and Public Health
JF - Journal of Infection and Public Health
IS - 11
M1 - 102559
ER -
