Abstract

Background

Fatigue is a common symptom of long COVID syndrome. Compared to male survivors, females have a higher incidence of post-COVID fatigue. Therefore, long-term follow-up is necessary to understand which groups of females are more vulnerable to post-COVID fatigue.

Methods

This is a nested case–control study of female COVID-19 survivors who were discharged from two designated hospitals in Wuhan, China in 2020, and received 2-year follow-up from March 1 to April 6, 2022. All patients completed the Checklist Individual Strength-subscale subjective fatigue (CIS-fatigue), a chronic obstructive pulmonary disease (COPD) assessment test (CAT), and the Hospital Anxiety and Depression Scale (HADS; including the HADS-Anxiety [HADS-A] and the HADS-Depression [HADS-D]). Individuals with CIS-fatigue scores of 27 or higher were classified as cases. The risk factors for fatigue was analysed with multivariable logistic regression analysis.

Results

A total of 899 female COVID-19 survivors were enrolled for analysis, including 47 cases and 852 controls. Compared with controls, cases had higher CAT, HADS-A and HADS-D scores, and showed a higher prevalence of symptoms, including anxiety (cases vs. controls, 44.7% vs. 4.0%, p < 0.001), chest tightness (21.2% vs. 2.3%, p < 0.001), dyspnoea (19.1% vs. 0.8%, p < 0.001) and so on. In multivariable logistic regression analysis, age (OR, 1.03; 95% CI, 1.01–1.06; p = 0.02) and cerebrovascular disease (OR, 11.32; 95% CI, 2.87–43.00; p < 0.001) were risk factors for fatigue. Fatigue had a statistically significant moderate correlation with depression (r = 0.44, p < 0.001), but not with CAT ≥ 10.

Conclusion

Female COVID-19 patients who had cerebrovascular disease and older age have higher risk of fatigue. Patients with fatigue have higher CAT scores, and are more likely to have concurrent depression.

Details

Title
Assessment of post-COVID-19 fatigue among female survivors 2 years after hospital discharge: a nested case–control study
Author
Ye, Yidan; Xiong, Chuyue; Yang, Dai; Wang, Yan; Yang, Xinyue; Cheng, Lixia; Hou, Chao; Nie, Naifu; Tang, Huan; Ma, Xiangyu; Zhang, Anqiang; Cao, Guoqiang; He, Yong; Jiang, Ji; Li, Li
Pages
1-9
Section
Research
Publication year
2023
Publication date
2023
Publisher
BioMed Central
e-ISSN
14712458
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2902119300
Copyright
© 2023. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.