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Prevalence of comorbidity in Chinese patients with COVID-19: systematic review and meta-analysis of risk factors
Coronavirus disease 2019 (COVID-19) is an infectious disease characterized by cough, fever, and fatigue and 20% of cases will develop into severe conditions resulting from acute lung injury with the manifestation of the acute respiratory distress syndrome (ARDS) that accounts for more than 50% of mo...
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Published in: | BMC infectious diseases 2021-02, Vol.21 (1), p.200-200, Article 200 |
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description | Coronavirus disease 2019 (COVID-19) is an infectious disease characterized by cough, fever, and fatigue and 20% of cases will develop into severe conditions resulting from acute lung injury with the manifestation of the acute respiratory distress syndrome (ARDS) that accounts for more than 50% of mortality. Currently, it has been reported that some comorbidities are linked with an increased rate of severity and mortality among COVID-19 patients. To assess the role of comorbidity in COVID-19 progression, we performed a systematic review with a meta-analysis on the relationship of COVID-19 severity with 8 different underlying diseases.
PubMed, Web of Science, and CNKI were searched for articles investigating the prevalence of comorbidities in severe and non-severe COVID-19 patients. A total of 41 studies comprising 12,526 patients were included.
Prevalence of some commodities was lower than that in general population such as hypertension (19% vs 23.2%), diabetes (9% vs 10.9%), chronic kidney disease (CKD) (2% vs 9.5%), chronic liver diseases (CLD) (3% vs 24.8%) and chronic obstructive pulmonary disease (COPD) (3% vs 8.6%), while some others including cancer (1% vs 0.6%), cardiovascular disease (6% vs 1.8%) and cerebrovascular disease (2% vs 0.9%) exhibited greater percentage in COVID-19. Cerebrovascular disease (OR = 3.70, 95%CI 2.51-5.45) was found to be the strongest risk factor in disease exacerbation, followed by CKD (OR = 3.60, 95%CI 2.18-5.94), COPD (OR = 3.14, 95% CI 2.35-4.19), cardiovascular disease (OR = 2.76, 95% CI 2.18-3.49), malignancy (OR = 2.63, 95% CI 1.75-3.95), diabetes (OR = 2.49, 95% CI 2.10-2.96) and hypertension (OR = 2.13, 95% CI 1.81-2.51). We found no correlation between CLD and increased disease severity (OR = 1.32, 95% CI 0.96-1.82).
The impact of all eight underlying diseases on COVID-19 deterioration seemed to be higher in patients outside Hubei. Based on different comorbidities, COVID-19 patients tend to be at risk of developing poor outcomes to a varying degree. Thus, tailored infection prevention and monitoring and treatment strategies targeting these high-risk subgroups might improve prognosis during the COVID-19 pandemic. |
doi_str_mv | 10.1186/s12879-021-05915-0 |
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PubMed, Web of Science, and CNKI were searched for articles investigating the prevalence of comorbidities in severe and non-severe COVID-19 patients. A total of 41 studies comprising 12,526 patients were included.
Prevalence of some commodities was lower than that in general population such as hypertension (19% vs 23.2%), diabetes (9% vs 10.9%), chronic kidney disease (CKD) (2% vs 9.5%), chronic liver diseases (CLD) (3% vs 24.8%) and chronic obstructive pulmonary disease (COPD) (3% vs 8.6%), while some others including cancer (1% vs 0.6%), cardiovascular disease (6% vs 1.8%) and cerebrovascular disease (2% vs 0.9%) exhibited greater percentage in COVID-19. Cerebrovascular disease (OR = 3.70, 95%CI 2.51-5.45) was found to be the strongest risk factor in disease exacerbation, followed by CKD (OR = 3.60, 95%CI 2.18-5.94), COPD (OR = 3.14, 95% CI 2.35-4.19), cardiovascular disease (OR = 2.76, 95% CI 2.18-3.49), malignancy (OR = 2.63, 95% CI 1.75-3.95), diabetes (OR = 2.49, 95% CI 2.10-2.96) and hypertension (OR = 2.13, 95% CI 1.81-2.51). We found no correlation between CLD and increased disease severity (OR = 1.32, 95% CI 0.96-1.82).
The impact of all eight underlying diseases on COVID-19 deterioration seemed to be higher in patients outside Hubei. Based on different comorbidities, COVID-19 patients tend to be at risk of developing poor outcomes to a varying degree. Thus, tailored infection prevention and monitoring and treatment strategies targeting these high-risk subgroups might improve prognosis during the COVID-19 pandemic.</description><identifier>ISSN: 1471-2334</identifier><identifier>EISSN: 1471-2334</identifier><identifier>DOI: 10.1186/s12879-021-05915-0</identifier><identifier>PMID: 33618678</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>Bias ; Cardiovascular diseases ; Cardiovascular Diseases - epidemiology ; Cerebrovascular diseases ; Cerebrovascular Disorders - epidemiology ; China - epidemiology ; Chronic obstructive pulmonary disease ; Comorbidity ; Coronaviruses ; Cough ; COVID-19 ; COVID-19 - complications ; COVID-19 - epidemiology ; Diabetes mellitus ; Diabetes Mellitus - epidemiology ; Disease transmission ; Dyspnea ; Evaluation ; Fever ; Forecasts and trends ; Health risk assessment ; Health risks ; Humans ; Hypertension ; Infections ; Infectious diseases ; Kidney diseases ; Liver diseases ; Lung diseases ; Malignancy ; Management ; Medical prognosis ; Meta-analysis ; Mortality ; Neoplasms - epidemiology ; Normal distribution ; Obstructive lung disease ; Pandemics ; Patients ; Population ; Public health ; Pulmonary Disease, Chronic Obstructive - epidemiology ; Renal Insufficiency, Chronic - epidemiology ; Respiratory diseases ; Respiratory distress syndrome ; Risk analysis ; Risk Factors ; Risk groups ; SARS-CoV-2 ; Secondary data analysis ; Severe acute respiratory syndrome coronavirus 2 ; Subgroups ; Systematic review ; Viral diseases</subject><ispartof>BMC infectious diseases, 2021-02, Vol.21 (1), p.200-200, Article 200</ispartof><rights>COPYRIGHT 2021 BioMed Central Ltd.</rights><rights>2021. 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.</rights><rights>The Author(s) 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c631t-ee6e2cc07ac0c7936b02123635a37ba8579e4d2a787f077c014c2a40162f51b73</citedby><cites>FETCH-LOGICAL-c631t-ee6e2cc07ac0c7936b02123635a37ba8579e4d2a787f077c014c2a40162f51b73</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7897883/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2502650615?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,25731,27901,27902,36989,36990,38493,43871,44566,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33618678$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Yin, Tingxuan</creatorcontrib><creatorcontrib>Li, Yuanjun</creatorcontrib><creatorcontrib>Ying, Ying</creatorcontrib><creatorcontrib>Luo, Zhijun</creatorcontrib><title>Prevalence of comorbidity in Chinese patients with COVID-19: systematic review and meta-analysis of risk factors</title><title>BMC infectious diseases</title><addtitle>BMC Infect Dis</addtitle><description>Coronavirus disease 2019 (COVID-19) is an infectious disease characterized by cough, fever, and fatigue and 20% of cases will develop into severe conditions resulting from acute lung injury with the manifestation of the acute respiratory distress syndrome (ARDS) that accounts for more than 50% of mortality. Currently, it has been reported that some comorbidities are linked with an increased rate of severity and mortality among COVID-19 patients. To assess the role of comorbidity in COVID-19 progression, we performed a systematic review with a meta-analysis on the relationship of COVID-19 severity with 8 different underlying diseases.
PubMed, Web of Science, and CNKI were searched for articles investigating the prevalence of comorbidities in severe and non-severe COVID-19 patients. A total of 41 studies comprising 12,526 patients were included.
Prevalence of some commodities was lower than that in general population such as hypertension (19% vs 23.2%), diabetes (9% vs 10.9%), chronic kidney disease (CKD) (2% vs 9.5%), chronic liver diseases (CLD) (3% vs 24.8%) and chronic obstructive pulmonary disease (COPD) (3% vs 8.6%), while some others including cancer (1% vs 0.6%), cardiovascular disease (6% vs 1.8%) and cerebrovascular disease (2% vs 0.9%) exhibited greater percentage in COVID-19. Cerebrovascular disease (OR = 3.70, 95%CI 2.51-5.45) was found to be the strongest risk factor in disease exacerbation, followed by CKD (OR = 3.60, 95%CI 2.18-5.94), COPD (OR = 3.14, 95% CI 2.35-4.19), cardiovascular disease (OR = 2.76, 95% CI 2.18-3.49), malignancy (OR = 2.63, 95% CI 1.75-3.95), diabetes (OR = 2.49, 95% CI 2.10-2.96) and hypertension (OR = 2.13, 95% CI 1.81-2.51). We found no correlation between CLD and increased disease severity (OR = 1.32, 95% CI 0.96-1.82).
The impact of all eight underlying diseases on COVID-19 deterioration seemed to be higher in patients outside Hubei. Based on different comorbidities, COVID-19 patients tend to be at risk of developing poor outcomes to a varying degree. Thus, tailored infection prevention and monitoring and treatment strategies targeting these high-risk subgroups might improve prognosis during the COVID-19 pandemic.</description><subject>Bias</subject><subject>Cardiovascular diseases</subject><subject>Cardiovascular Diseases - epidemiology</subject><subject>Cerebrovascular diseases</subject><subject>Cerebrovascular Disorders - epidemiology</subject><subject>China - epidemiology</subject><subject>Chronic obstructive pulmonary disease</subject><subject>Comorbidity</subject><subject>Coronaviruses</subject><subject>Cough</subject><subject>COVID-19</subject><subject>COVID-19 - complications</subject><subject>COVID-19 - epidemiology</subject><subject>Diabetes mellitus</subject><subject>Diabetes Mellitus - epidemiology</subject><subject>Disease transmission</subject><subject>Dyspnea</subject><subject>Evaluation</subject><subject>Fever</subject><subject>Forecasts and trends</subject><subject>Health risk assessment</subject><subject>Health risks</subject><subject>Humans</subject><subject>Hypertension</subject><subject>Infections</subject><subject>Infectious diseases</subject><subject>Kidney diseases</subject><subject>Liver diseases</subject><subject>Lung diseases</subject><subject>Malignancy</subject><subject>Management</subject><subject>Medical prognosis</subject><subject>Meta-analysis</subject><subject>Mortality</subject><subject>Neoplasms - epidemiology</subject><subject>Normal distribution</subject><subject>Obstructive lung disease</subject><subject>Pandemics</subject><subject>Patients</subject><subject>Population</subject><subject>Public health</subject><subject>Pulmonary Disease, Chronic Obstructive - epidemiology</subject><subject>Renal Insufficiency, Chronic - epidemiology</subject><subject>Respiratory diseases</subject><subject>Respiratory distress syndrome</subject><subject>Risk analysis</subject><subject>Risk Factors</subject><subject>Risk groups</subject><subject>SARS-CoV-2</subject><subject>Secondary data analysis</subject><subject>Severe acute respiratory syndrome coronavirus 2</subject><subject>Subgroups</subject><subject>Systematic review</subject><subject>Viral diseases</subject><issn>1471-2334</issn><issn>1471-2334</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>COVID</sourceid><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNqNkktv1DAURiMEoqXwB1ggS2xgkeJH_AgLpGp4jVRpEI9uLce5mfGQxIPttMy_x9MppYNYoCwc2ece259vUTwl-JQQJV5FQpWsS0xJiXlNeInvFcekkqSkjFX37_wfFY9iXGNMpKL1w-KIMZEFUh0Xm08BLk0PowXkO2T94EPjWpe2yI1otnIjREAbkxyMKaIrl1ZotriYvy1J_RrFbUww5EWLssbBFTJjiwZIpjSj6bfRxZ01uPgddcYmH-Lj4kFn-ghPbsaT4tv7d19nH8vzxYf57Oy8tIKRVAIIoNZiaSy2smaiydekTDBumGyM4rKGqqVGKtlhKS0mlaWmwkTQjpNGspNivve23qz1JrjBhK32xunrCR-W2oR88B60lYpXShKmlKh4RRSpBGtY1-W0WuA4u97sXZupGaC1OYpg-gPp4croVnrpL7VUtVSKZcGLG0HwPyaISQ8uWuh7M4KfoqZVTQVXSu7O_fwvdO2nkMPMFMeZwoLwP9Qyv512Y-fzvnYn1WeCM8FpDiJTp_-g8tfC4KwfoXN5_qDg5UFBZhL8TEszxajnXz7_P7u4OGTpnrXBxxigu82OYL3rZb3vZZ0fWV_3st6l_uxu6rclv5uX_QKsF-qs</recordid><startdate>20210222</startdate><enddate>20210222</enddate><creator>Yin, Tingxuan</creator><creator>Li, Yuanjun</creator><creator>Ying, Ying</creator><creator>Luo, Zhijun</creator><general>BioMed Central Ltd</general><general>BioMed Central</general><general>BMC</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QL</scope><scope>7T2</scope><scope>7U9</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>COVID</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>H94</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20210222</creationdate><title>Prevalence of comorbidity in Chinese patients with COVID-19: systematic review and meta-analysis of risk factors</title><author>Yin, Tingxuan ; Li, Yuanjun ; Ying, Ying ; Luo, Zhijun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c631t-ee6e2cc07ac0c7936b02123635a37ba8579e4d2a787f077c014c2a40162f51b73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Bias</topic><topic>Cardiovascular diseases</topic><topic>Cardiovascular Diseases - epidemiology</topic><topic>Cerebrovascular diseases</topic><topic>Cerebrovascular Disorders - epidemiology</topic><topic>China - epidemiology</topic><topic>Chronic obstructive pulmonary disease</topic><topic>Comorbidity</topic><topic>Coronaviruses</topic><topic>Cough</topic><topic>COVID-19</topic><topic>COVID-19 - complications</topic><topic>COVID-19 - epidemiology</topic><topic>Diabetes mellitus</topic><topic>Diabetes Mellitus - epidemiology</topic><topic>Disease transmission</topic><topic>Dyspnea</topic><topic>Evaluation</topic><topic>Fever</topic><topic>Forecasts and trends</topic><topic>Health risk assessment</topic><topic>Health risks</topic><topic>Humans</topic><topic>Hypertension</topic><topic>Infections</topic><topic>Infectious diseases</topic><topic>Kidney diseases</topic><topic>Liver diseases</topic><topic>Lung diseases</topic><topic>Malignancy</topic><topic>Management</topic><topic>Medical prognosis</topic><topic>Meta-analysis</topic><topic>Mortality</topic><topic>Neoplasms - epidemiology</topic><topic>Normal distribution</topic><topic>Obstructive lung disease</topic><topic>Pandemics</topic><topic>Patients</topic><topic>Population</topic><topic>Public health</topic><topic>Pulmonary Disease, Chronic Obstructive - epidemiology</topic><topic>Renal Insufficiency, Chronic - epidemiology</topic><topic>Respiratory diseases</topic><topic>Respiratory distress syndrome</topic><topic>Risk analysis</topic><topic>Risk Factors</topic><topic>Risk groups</topic><topic>SARS-CoV-2</topic><topic>Secondary data analysis</topic><topic>Severe acute respiratory syndrome coronavirus 2</topic><topic>Subgroups</topic><topic>Systematic review</topic><topic>Viral diseases</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yin, Tingxuan</creatorcontrib><creatorcontrib>Li, Yuanjun</creatorcontrib><creatorcontrib>Ying, Ying</creatorcontrib><creatorcontrib>Luo, Zhijun</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Opposing Viewpoints Resource Center</collection><collection>Science in Context</collection><collection>ProQuest Central (Corporate)</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Virology and AIDS Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Public Health Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>Coronavirus Research Database</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Publicly Available Content Database (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>BMC infectious diseases</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yin, Tingxuan</au><au>Li, Yuanjun</au><au>Ying, Ying</au><au>Luo, Zhijun</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Prevalence of comorbidity in Chinese patients with COVID-19: systematic review and meta-analysis of risk factors</atitle><jtitle>BMC infectious diseases</jtitle><addtitle>BMC Infect Dis</addtitle><date>2021-02-22</date><risdate>2021</risdate><volume>21</volume><issue>1</issue><spage>200</spage><epage>200</epage><pages>200-200</pages><artnum>200</artnum><issn>1471-2334</issn><eissn>1471-2334</eissn><abstract>Coronavirus disease 2019 (COVID-19) is an infectious disease characterized by cough, fever, and fatigue and 20% of cases will develop into severe conditions resulting from acute lung injury with the manifestation of the acute respiratory distress syndrome (ARDS) that accounts for more than 50% of mortality. Currently, it has been reported that some comorbidities are linked with an increased rate of severity and mortality among COVID-19 patients. To assess the role of comorbidity in COVID-19 progression, we performed a systematic review with a meta-analysis on the relationship of COVID-19 severity with 8 different underlying diseases.
PubMed, Web of Science, and CNKI were searched for articles investigating the prevalence of comorbidities in severe and non-severe COVID-19 patients. A total of 41 studies comprising 12,526 patients were included.
Prevalence of some commodities was lower than that in general population such as hypertension (19% vs 23.2%), diabetes (9% vs 10.9%), chronic kidney disease (CKD) (2% vs 9.5%), chronic liver diseases (CLD) (3% vs 24.8%) and chronic obstructive pulmonary disease (COPD) (3% vs 8.6%), while some others including cancer (1% vs 0.6%), cardiovascular disease (6% vs 1.8%) and cerebrovascular disease (2% vs 0.9%) exhibited greater percentage in COVID-19. Cerebrovascular disease (OR = 3.70, 95%CI 2.51-5.45) was found to be the strongest risk factor in disease exacerbation, followed by CKD (OR = 3.60, 95%CI 2.18-5.94), COPD (OR = 3.14, 95% CI 2.35-4.19), cardiovascular disease (OR = 2.76, 95% CI 2.18-3.49), malignancy (OR = 2.63, 95% CI 1.75-3.95), diabetes (OR = 2.49, 95% CI 2.10-2.96) and hypertension (OR = 2.13, 95% CI 1.81-2.51). We found no correlation between CLD and increased disease severity (OR = 1.32, 95% CI 0.96-1.82).
The impact of all eight underlying diseases on COVID-19 deterioration seemed to be higher in patients outside Hubei. Based on different comorbidities, COVID-19 patients tend to be at risk of developing poor outcomes to a varying degree. Thus, tailored infection prevention and monitoring and treatment strategies targeting these high-risk subgroups might improve prognosis during the COVID-19 pandemic.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>33618678</pmid><doi>10.1186/s12879-021-05915-0</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Bias Cardiovascular diseases Cardiovascular Diseases - epidemiology Cerebrovascular diseases Cerebrovascular Disorders - epidemiology China - epidemiology Chronic obstructive pulmonary disease Comorbidity Coronaviruses Cough COVID-19 COVID-19 - complications COVID-19 - epidemiology Diabetes mellitus Diabetes Mellitus - epidemiology Disease transmission Dyspnea Evaluation Fever Forecasts and trends Health risk assessment Health risks Humans Hypertension Infections Infectious diseases Kidney diseases Liver diseases Lung diseases Malignancy Management Medical prognosis Meta-analysis Mortality Neoplasms - epidemiology Normal distribution Obstructive lung disease Pandemics Patients Population Public health Pulmonary Disease, Chronic Obstructive - epidemiology Renal Insufficiency, Chronic - epidemiology Respiratory diseases Respiratory distress syndrome Risk analysis Risk Factors Risk groups SARS-CoV-2 Secondary data analysis Severe acute respiratory syndrome coronavirus 2 Subgroups Systematic review Viral diseases |
title | Prevalence of comorbidity in Chinese patients with COVID-19: systematic review and meta-analysis of risk factors |
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