Analysis of Long COVID characteristics and risk factors in individuals infected with COVID-19: a follow-up study based on a cohort of 2,792 participants
et al., Frontiers in Public Health, doi:10.3389/fpubh.2026.1760355, Mar 2026
Prospective study of 2,792 COVID-19 patients in China. After propensity score matching, neither paxlovid nor azvudine showed a statistically significant association with long COVID.
Standard of Care (SOC) for COVID-19 in the study country,
China, is average with moderate efficacy for approved treatments1.
Study covers azvudine and paxlovid.
|
risk of long COVID, 9.7% higher, OR 1.10, p = 0.83, treatment 7 of 178 (3.9%) cases,
25 of 695 (3.6%) controls, case control OR.
|
| Effect extraction follows pre-specified rules prioritizing more serious outcomes. Submit updates |
Chu et al., 10 Mar 2026, prospective, China, peer-reviewed, mean age 51.6, 6 authors.
Contact: wjb0386@126.com.
Abstract: TYPE Original Research
PUBLISHED 10 March 2026
DOI 10.3389/fpubh.2026.1760355
OPEN ACCESS
EDITED BY
Chutian Zhang,
Northwest A&F University, China
REVIEWED BY
Kin Israel Notarte,
Johns Hopkins University, United States
Andreu Comas-Garcia,
Universidad Cuauhtémoc San Luis
Potosí, Mexico
Analysis of Long COVID
characteristics and risk factors in
individuals infected with
COVID-19: a follow-up study
based on a cohort of 2,792
participants
*CORRESPONDENCE
Jiabing Wu
wjb0386@126.com
†
These authors have contributed equally
to this work and share first authorship
RECEIVED 04 December 2025
REVISED 04 February 2026
ACCEPTED 16 February 2026
PUBLISHED 10 March 2026
CITATION
Chu X, Hou S, Zhu Q, Chang J, Gong L
and Wu J (2026) Analysis of Long COVID
characteristics and risk factors in
individuals infected with COVID-19: a
follow-up study based on a cohort of
2,792 participants.
Front. Public Health 14:1760355.
doi: 10.3389/fpubh.2026.1760355
COPYRIGHT
© 2026 Chu, Hou, Zhu, Chang, Gong
and Wu. This is an open-access article
distributed under the terms of the
Creative Commons Attribution License
(CC BY). The use, distribution or
reproduction in other forums is
permitted, provided the original author(s)
and the copyright owner(s) are credited
and that the original publication in this
journal is cited, in accordance with
accepted academic practice. No use,
distribution or reproduction is permitted
which does not comply with these terms.
Xiujie Chu1† , Sai Hou2† , Qian Zhu2† , Jingru Chang2 , Lei Gong1 and
Jiabing Wu1*
1
Institute for the Prevention and Control of Infectious Diseases, Anhui Provincial Center for Disease
Control and Prevention, Hefei, Anhui, China, 2 Health Emergency Center, Anhui Provincial Center for
Disease Control and Prevention, Hefei, Anhui, China
Background: Since
the
emergence
of
SARS-CoV-2
in
2019,
Long COVID has emerged as a significant global public health
challenge. The identification of accessible biomarkers and risk
factors is critical to enabling early intervention and improving
long-term outcomes.
Methods: This prospective cohort study enrolled 2,792 individuals with
confirmed COVID-19 from Anhui Province in September 2024. A propensity
score matching analysis was performed using a 1:4 ratio. Cases and matched
controls were selected from cohort, serum sample were analyzed to assess
hematological parameters. Multivariable logistic regression models were applied
to identify independent risk factors associated with the development of
Long COVID.
Results: 2,792 participants (average age 51.64 years) identified 182 (6.52%) long
COVID patients during follow-up. Common symptoms included fatigue, cough,
insomnia, throat discomfort, and appetite loss. After propensity score matching,
risk factors were age, more severe acute symptoms. Long COVID patients
exhibited higher red blood cell counts but lower hemoglobin-related indices and
platelet count.
Conclusion: This study confirms the persistent risk of Long COVID following
reinfection, with heightened susceptibility associated with advanced age,
specific acute-phase symptoms. Alterations in routine hematological parameters
may serve as valuable biomarkers for the monitoring and management of
Long COVID.
KEYWORDS
biomarker, characteristic, cohort, Long COVID, risk factor
Frontiers in Public Health
01
frontiersin.org
Chu et al.
10.3389/fpubh.2026.1760355
1 Background
diagnosis of long COVID. However, there remains a notable lack
of systematic, long-term studies that..
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"abstract": "<jats:sec>\n <jats:title>Background</jats:title>\n <jats:p>Since the emergence of SARS-CoV-2 in 2019, Long COVID has emerged as a significant global public health challenge. The identification of accessible biomarkers and risk factors is critical to enabling early intervention and improving long-term outcomes.</jats:p>\n </jats:sec>\n <jats:sec>\n <jats:title>Methods</jats:title>\n <jats:p>This prospective cohort study enrolled 2,792 individuals with confirmed COVID-19 from Anhui Province in September 2024. A propensity score matching analysis was performed using a 1:4 ratio. Cases and matched controls were selected from cohort, serum sample were analyzed to assess hematological parameters. Multivariable logistic regression models were applied to identify independent risk factors associated with the development of Long COVID.</jats:p>\n </jats:sec>\n <jats:sec>\n <jats:title>Results</jats:title>\n <jats:p>2,792 participants (average age 51.64 years) identified 182 (6.52%) long COVID patients during follow-up. Common symptoms included fatigue, cough, insomnia, throat discomfort, and appetite loss. After propensity score matching, risk factors were age, more severe acute symptoms. Long COVID patients exhibited higher red blood cell counts but lower hemoglobin-related indices and platelet count.</jats:p>\n </jats:sec>\n <jats:sec>\n <jats:title>Conclusion</jats:title>\n <jats:p>This study confirms the persistent risk of Long COVID following reinfection, with heightened susceptibility associated with advanced age, specific acute-phase symptoms. Alterations in routine hematological parameters may serve as valuable biomarkers for the monitoring and management of Long COVID.</jats:p>\n </jats:sec>",
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