tetano
Editor, Senior Moderator
EBioMedicine
. 2025 Jan 2:112:105549.
doi: 10.1016/j.ebiom.2024.105549. Online ahead of print. A comparative cohort study of post-COVID-19 conditions based on physical examination records in China
Zhong Liu[SUP] 1 [/SUP], Boqiang Hu[SUP] 2 [/SUP], Tao Zeng[SUP] 2 [/SUP], Cuiping You[SUP] 3 [/SUP], Nan Li[SUP] 4 [/SUP], Yongjing Liu[SUP] 2 [/SUP], Jie Zhang[SUP] 2 [/SUP], Chenbing Liu[SUP] 4 [/SUP], Piaopiao Jin[SUP] 4 [/SUP], Xiaoxi Feng[SUP] 3 [/SUP], Jun Chen[SUP] 5 [/SUP], Jinyan Huang[SUP] 6 [/SUP]
Affiliations
Background: Coronavirus disease-2019 (COVID-19), caused by SARS-CoV-2 virus infection, is characterized as a multisystem disease, potentially yielding multifaceted consequences on various organs at multiple levels. At the end of 2022, over 90% of the Chinese population was infected by SARS-CoV-2 within 35 days because of adjustments to epidemic prevention and control policies. This short-term change provides an unprecedented opportunity for comparative studies on COVID-19 infection among large populations.
Methods: In this study, the physical examination data of 136,713 people in the past three consecutive years was employed to study the impact of COVID-19. Standard physical examination data, comprising evaluations of nearly a hundred indicators, were investigated for a comprehensive assessment of COVID-19's effect on human health.
Findings: The results suggested that most indicators remained stable or changed within a permissible range after the COVID-19 outbreak in December 2022, but several specific indicators presented abnormal patterns of varying durations. There was an observed increase in the fraction of T-wave abnormalities during the outbreak, especially in people with chronic diseases such as hypertension, liver steatosis, and hyperglycemia.
Interpretation: These findings highlighted the impact of COVID-19 on cardiovascular health and its potential interaction with chronic diseases.
Funding: This work was supported by the National Key Research and Development Program of China (2019YFE0108100), the National Natural Science Foundation of China General Program (82270159, 82070147).
Keywords: Big data; COVID-19; Chronic disease; Physical examination; T-wave abnormality.
. 2025 Jan 2:112:105549.
doi: 10.1016/j.ebiom.2024.105549. Online ahead of print. A comparative cohort study of post-COVID-19 conditions based on physical examination records in China
Zhong Liu[SUP] 1 [/SUP], Boqiang Hu[SUP] 2 [/SUP], Tao Zeng[SUP] 2 [/SUP], Cuiping You[SUP] 3 [/SUP], Nan Li[SUP] 4 [/SUP], Yongjing Liu[SUP] 2 [/SUP], Jie Zhang[SUP] 2 [/SUP], Chenbing Liu[SUP] 4 [/SUP], Piaopiao Jin[SUP] 4 [/SUP], Xiaoxi Feng[SUP] 3 [/SUP], Jun Chen[SUP] 5 [/SUP], Jinyan Huang[SUP] 6 [/SUP]
Affiliations
- PMID: 39753031
- DOI: 10.1016/j.ebiom.2024.105549
Background: Coronavirus disease-2019 (COVID-19), caused by SARS-CoV-2 virus infection, is characterized as a multisystem disease, potentially yielding multifaceted consequences on various organs at multiple levels. At the end of 2022, over 90% of the Chinese population was infected by SARS-CoV-2 within 35 days because of adjustments to epidemic prevention and control policies. This short-term change provides an unprecedented opportunity for comparative studies on COVID-19 infection among large populations.
Methods: In this study, the physical examination data of 136,713 people in the past three consecutive years was employed to study the impact of COVID-19. Standard physical examination data, comprising evaluations of nearly a hundred indicators, were investigated for a comprehensive assessment of COVID-19's effect on human health.
Findings: The results suggested that most indicators remained stable or changed within a permissible range after the COVID-19 outbreak in December 2022, but several specific indicators presented abnormal patterns of varying durations. There was an observed increase in the fraction of T-wave abnormalities during the outbreak, especially in people with chronic diseases such as hypertension, liver steatosis, and hyperglycemia.
Interpretation: These findings highlighted the impact of COVID-19 on cardiovascular health and its potential interaction with chronic diseases.
Funding: This work was supported by the National Key Research and Development Program of China (2019YFE0108100), the National Natural Science Foundation of China General Program (82270159, 82070147).
Keywords: Big data; COVID-19; Chronic disease; Physical examination; T-wave abnormality.