A comparative cohort study of post-COVID-19 conditions based on physical examination records in ChinaResearch in context
Summary: 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...
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| Language: | English |
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Elsevier
2025-02-01
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| Series: | EBioMedicine |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352396424005851 |
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| author | Zhong Liu Boqiang Hu Tao Zeng Cuiping You Nan Li Yongjing Liu Jie Zhang Chenbing Liu Piaopiao Jin Xiaoxi Feng Jun Chen Jinyan Huang |
| author_facet | Zhong Liu Boqiang Hu Tao Zeng Cuiping You Nan Li Yongjing Liu Jie Zhang Chenbing Liu Piaopiao Jin Xiaoxi Feng Jun Chen Jinyan Huang |
| author_sort | Zhong Liu |
| collection | DOAJ |
| description | Summary: 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). |
| format | Article |
| id | doaj-art-206e9e6f932242f6882e8c54fe93f582 |
| institution | Kabale University |
| issn | 2352-3964 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | EBioMedicine |
| spelling | doaj-art-206e9e6f932242f6882e8c54fe93f5822025-01-04T04:56:32ZengElsevierEBioMedicine2352-39642025-02-01112105549A comparative cohort study of post-COVID-19 conditions based on physical examination records in ChinaResearch in contextZhong Liu0Boqiang Hu1Tao Zeng2Cuiping You3Nan Li4Yongjing Liu5Jie Zhang6Chenbing Liu7Piaopiao Jin8Xiaoxi Feng9Jun Chen10Jinyan Huang11Center for Health Management, The First Affiliated Hospital of Zhejiang University School of Medicine, Zhejiang, China; Corresponding author.Biomedical Big Data Center, The First Affiliated Hospital of Zhejiang University School of Medicine, Zhejiang, ChinaBiomedical Big Data Center, The First Affiliated Hospital of Zhejiang University School of Medicine, Zhejiang, ChinaCentral Laboratory, Linyi People’s Hospital, Linyi, Shandong, ChinaCenter for Health Management, The First Affiliated Hospital of Zhejiang University School of Medicine, Zhejiang, ChinaBiomedical Big Data Center, The First Affiliated Hospital of Zhejiang University School of Medicine, Zhejiang, ChinaBiomedical Big Data Center, The First Affiliated Hospital of Zhejiang University School of Medicine, Zhejiang, ChinaCenter for Health Management, The First Affiliated Hospital of Zhejiang University School of Medicine, Zhejiang, ChinaCenter for Health Management, The First Affiliated Hospital of Zhejiang University School of Medicine, Zhejiang, ChinaCentral Laboratory, Linyi People’s Hospital, Linyi, Shandong, ChinaDivision of Computational Biology, Mayo Clinic, Rochester, United States; Corresponding author.Biomedical Big Data Center, The First Affiliated Hospital of Zhejiang University School of Medicine, Zhejiang, China; Corresponding author.Summary: 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).http://www.sciencedirect.com/science/article/pii/S2352396424005851COVID-19Physical examinationT-wave abnormalityChronic diseaseBig data |
| spellingShingle | Zhong Liu Boqiang Hu Tao Zeng Cuiping You Nan Li Yongjing Liu Jie Zhang Chenbing Liu Piaopiao Jin Xiaoxi Feng Jun Chen Jinyan Huang A comparative cohort study of post-COVID-19 conditions based on physical examination records in ChinaResearch in context EBioMedicine COVID-19 Physical examination T-wave abnormality Chronic disease Big data |
| title | A comparative cohort study of post-COVID-19 conditions based on physical examination records in ChinaResearch in context |
| title_full | A comparative cohort study of post-COVID-19 conditions based on physical examination records in ChinaResearch in context |
| title_fullStr | A comparative cohort study of post-COVID-19 conditions based on physical examination records in ChinaResearch in context |
| title_full_unstemmed | A comparative cohort study of post-COVID-19 conditions based on physical examination records in ChinaResearch in context |
| title_short | A comparative cohort study of post-COVID-19 conditions based on physical examination records in ChinaResearch in context |
| title_sort | comparative cohort study of post covid 19 conditions based on physical examination records in chinaresearch in context |
| topic | COVID-19 Physical examination T-wave abnormality Chronic disease Big data |
| url | http://www.sciencedirect.com/science/article/pii/S2352396424005851 |
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