Analysis of sex-specific risk factors and clinical outcomes in COVID-19
Background Sex has consistently been shown to affect COVID-19 mortality, but it remains unclear how each sex’s clinical outcome may be distinctively shaped by risk factors. Methods We studied a primary cohort of 4930 patients hospitalized with COVID-19 in a single healthcare system in New York City...
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description | Background
Sex has consistently been shown to affect COVID-19 mortality, but it remains unclear how each sex’s clinical outcome may be distinctively shaped by risk factors.
Methods
We studied a primary cohort of 4930 patients hospitalized with COVID-19 in a single healthcare system in New York City from the start of the pandemic till August 5, 2020, and a validation cohort of 1645 patients hospitalized with COVID-19 in the same healthcare system from August 5, 2020, to January 13, 2021.
Results
Here we show that male sex was independently associated with in-hospital mortality, intubation, and ICU care after adjusting for demographics and comorbidities. Using interaction analysis and sex-stratified models, we found that hypoxia interacted with sex to preferentially increase women’s mortality risk while obesity interacted with sex to preferentially increase women’s risk of intubation and intensive care in our primary cohort. In the validation cohort, we observed that male sex remained an independent risk factor for mortality, but sex-specific interactions were not replicated.
Conclusions
We conducted a comprehensive sex-stratified analysis of a large cohort of hospitalized COVID-19 patients, highlighting clinical factors that may contribute to sex differences in the outcome of COVID-19.
Plain Language Summary
Men are at higher risk of death from COVID-19 than women, but the underlying reasons are not fully understood. We examined the medical data of men and women hospitalized with COVID-19 in New York City to determine whether there were factors which raised the risk of death or requiring intensive care more for one sex rather than the other. We observed that men hospitalized with COVID-19 had a higher risk of death than women when other factors taken into account. Some conditions, like low oxygen levels and obesity, appeared to be associated with worse outcomes in women compared to men early in the pandemic but further studies will be necessary for confirmation. These findings highlight groups of men and women who may be at increased risk of severe COVID-19.
Jun et al. evaluate sex-stratified clinical outcomes in two cohorts of patients hospitalized with COVID-19 in New York. While male sex risk is a risk factor for poor outcome in both cohorts – one from earlier and one from later on in the pandemic – some of the sex-specific risk factors observed initially are not observed later on. |
doi_str_mv | 10.1038/s43856-021-00006-2 |
format | Article |
fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9053255</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2668224380</sourcerecordid><originalsourceid>FETCH-LOGICAL-c474t-d4c629480e09aff7fae9271b743a30f1e56b947d87c84400701711d96801b9163</originalsourceid><addsrcrecordid>eNp9kU1PHDEMhqMKVBDwB3qoIvXCJW2-JslcKqGlUCQkLoB6i7KZhIbOTrbxDOr-e7Is5euAL7Hkx68dvwh9YvQro8J8AylMowjljNAaivAPaJdrQYlS8tfWi3wHHQDcVoZr1UpDP6Id0SjKORe76PRocP0KEuAcMYR_BJbBp5g8Lgn-4Oj8mAtgN3TY92lI3vU4T6PPiwA4DXh2cX12TFi7j7aj6yEcPL576Orkx-XsJzm_OD2bHZ0TL7UcSSe94uslAm1djDq60HLN5loKJ2hkoVHzVurOaG-kpFRTphnrWmUom7dMiT30faO7nOaL0PkwjMX1dlnSwpWVzS7Z15Uh_bY3-c62tBG8aarA4aNAyX-nAKNdJPCh790Q8gSWK2U4r8elFf3yBr3NU6n3qpQ2RopGijXFN5QvGaCE-LQMo3Ztld1YZatV9sEqy2vT55ffeGr5b0wFxAaAWhpuQnme_Y7sPUr7nJg</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2788435430</pqid></control><display><type>article</type><title>Analysis of sex-specific risk factors and clinical outcomes in COVID-19</title><source>DOAJ Directory of Open Access Journals</source><source>EZB-FREE-00999 freely available EZB journals</source><source>PubMed Central</source><source>PubMed Central Open Access</source><creator>Jun, Tomi ; Nirenberg, Sharon ; Weinberger, Tziopora ; Sharma, Navya ; Pujadas, Elisabet ; Cordon-Cardo, Carlos ; Kovatch, Patricia ; Huang, Kuan-lin</creator><creatorcontrib>Jun, Tomi ; Nirenberg, Sharon ; Weinberger, Tziopora ; Sharma, Navya ; Pujadas, Elisabet ; Cordon-Cardo, Carlos ; Kovatch, Patricia ; Huang, Kuan-lin</creatorcontrib><description>Background
Sex has consistently been shown to affect COVID-19 mortality, but it remains unclear how each sex’s clinical outcome may be distinctively shaped by risk factors.
Methods
We studied a primary cohort of 4930 patients hospitalized with COVID-19 in a single healthcare system in New York City from the start of the pandemic till August 5, 2020, and a validation cohort of 1645 patients hospitalized with COVID-19 in the same healthcare system from August 5, 2020, to January 13, 2021.
Results
Here we show that male sex was independently associated with in-hospital mortality, intubation, and ICU care after adjusting for demographics and comorbidities. Using interaction analysis and sex-stratified models, we found that hypoxia interacted with sex to preferentially increase women’s mortality risk while obesity interacted with sex to preferentially increase women’s risk of intubation and intensive care in our primary cohort. In the validation cohort, we observed that male sex remained an independent risk factor for mortality, but sex-specific interactions were not replicated.
Conclusions
We conducted a comprehensive sex-stratified analysis of a large cohort of hospitalized COVID-19 patients, highlighting clinical factors that may contribute to sex differences in the outcome of COVID-19.
Plain Language Summary
Men are at higher risk of death from COVID-19 than women, but the underlying reasons are not fully understood. We examined the medical data of men and women hospitalized with COVID-19 in New York City to determine whether there were factors which raised the risk of death or requiring intensive care more for one sex rather than the other. We observed that men hospitalized with COVID-19 had a higher risk of death than women when other factors taken into account. Some conditions, like low oxygen levels and obesity, appeared to be associated with worse outcomes in women compared to men early in the pandemic but further studies will be necessary for confirmation. These findings highlight groups of men and women who may be at increased risk of severe COVID-19.
Jun et al. evaluate sex-stratified clinical outcomes in two cohorts of patients hospitalized with COVID-19 in New York. While male sex risk is a risk factor for poor outcome in both cohorts – one from earlier and one from later on in the pandemic – some of the sex-specific risk factors observed initially are not observed later on.</description><identifier>ISSN: 2730-664X</identifier><identifier>EISSN: 2730-664X</identifier><identifier>DOI: 10.1038/s43856-021-00006-2</identifier><identifier>PMID: 35602223</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>692/308/174 ; 692/699/255/2514 ; 692/700/478 ; Body mass index ; Cardiovascular disease ; Chronic obstructive pulmonary disease ; Clinical outcomes ; Comorbidity ; COVID-19 ; Cytokines ; Datasets ; Electronic health records ; Ethnicity ; Fatalities ; Hospital systems ; Hospitalization ; Hospitals ; Hypoxia ; Intensive care ; Medical records ; Medicine ; Medicine & Public Health ; Mortality ; Pandemics ; Patients ; Regression analysis ; Risk factors ; Ventilators ; Vital signs ; Womens health</subject><ispartof>Communications medicine, 2021-06, Vol.1 (1), p.3, Article 3</ispartof><rights>The Author(s) 2021</rights><rights>The Author(s) 2021.</rights><rights>The Author(s) 2021. This work is published 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><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c474t-d4c629480e09aff7fae9271b743a30f1e56b947d87c84400701711d96801b9163</citedby><cites>FETCH-LOGICAL-c474t-d4c629480e09aff7fae9271b743a30f1e56b947d87c84400701711d96801b9163</cites><orcidid>0000-0003-4795-7945 ; 0000-0002-5537-5817</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9053255/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9053255/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35602223$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Jun, Tomi</creatorcontrib><creatorcontrib>Nirenberg, Sharon</creatorcontrib><creatorcontrib>Weinberger, Tziopora</creatorcontrib><creatorcontrib>Sharma, Navya</creatorcontrib><creatorcontrib>Pujadas, Elisabet</creatorcontrib><creatorcontrib>Cordon-Cardo, Carlos</creatorcontrib><creatorcontrib>Kovatch, Patricia</creatorcontrib><creatorcontrib>Huang, Kuan-lin</creatorcontrib><title>Analysis of sex-specific risk factors and clinical outcomes in COVID-19</title><title>Communications medicine</title><addtitle>Commun Med</addtitle><addtitle>Commun Med (Lond)</addtitle><description>Background
Sex has consistently been shown to affect COVID-19 mortality, but it remains unclear how each sex’s clinical outcome may be distinctively shaped by risk factors.
Methods
We studied a primary cohort of 4930 patients hospitalized with COVID-19 in a single healthcare system in New York City from the start of the pandemic till August 5, 2020, and a validation cohort of 1645 patients hospitalized with COVID-19 in the same healthcare system from August 5, 2020, to January 13, 2021.
Results
Here we show that male sex was independently associated with in-hospital mortality, intubation, and ICU care after adjusting for demographics and comorbidities. Using interaction analysis and sex-stratified models, we found that hypoxia interacted with sex to preferentially increase women’s mortality risk while obesity interacted with sex to preferentially increase women’s risk of intubation and intensive care in our primary cohort. In the validation cohort, we observed that male sex remained an independent risk factor for mortality, but sex-specific interactions were not replicated.
Conclusions
We conducted a comprehensive sex-stratified analysis of a large cohort of hospitalized COVID-19 patients, highlighting clinical factors that may contribute to sex differences in the outcome of COVID-19.
Plain Language Summary
Men are at higher risk of death from COVID-19 than women, but the underlying reasons are not fully understood. We examined the medical data of men and women hospitalized with COVID-19 in New York City to determine whether there were factors which raised the risk of death or requiring intensive care more for one sex rather than the other. We observed that men hospitalized with COVID-19 had a higher risk of death than women when other factors taken into account. Some conditions, like low oxygen levels and obesity, appeared to be associated with worse outcomes in women compared to men early in the pandemic but further studies will be necessary for confirmation. These findings highlight groups of men and women who may be at increased risk of severe COVID-19.
Jun et al. evaluate sex-stratified clinical outcomes in two cohorts of patients hospitalized with COVID-19 in New York. While male sex risk is a risk factor for poor outcome in both cohorts – one from earlier and one from later on in the pandemic – some of the sex-specific risk factors observed initially are not observed later on.</description><subject>692/308/174</subject><subject>692/699/255/2514</subject><subject>692/700/478</subject><subject>Body mass index</subject><subject>Cardiovascular disease</subject><subject>Chronic obstructive pulmonary disease</subject><subject>Clinical outcomes</subject><subject>Comorbidity</subject><subject>COVID-19</subject><subject>Cytokines</subject><subject>Datasets</subject><subject>Electronic health records</subject><subject>Ethnicity</subject><subject>Fatalities</subject><subject>Hospital systems</subject><subject>Hospitalization</subject><subject>Hospitals</subject><subject>Hypoxia</subject><subject>Intensive care</subject><subject>Medical records</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Mortality</subject><subject>Pandemics</subject><subject>Patients</subject><subject>Regression analysis</subject><subject>Risk factors</subject><subject>Ventilators</subject><subject>Vital signs</subject><subject>Womens health</subject><issn>2730-664X</issn><issn>2730-664X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>BENPR</sourceid><recordid>eNp9kU1PHDEMhqMKVBDwB3qoIvXCJW2-JslcKqGlUCQkLoB6i7KZhIbOTrbxDOr-e7Is5euAL7Hkx68dvwh9YvQro8J8AylMowjljNAaivAPaJdrQYlS8tfWi3wHHQDcVoZr1UpDP6Id0SjKORe76PRocP0KEuAcMYR_BJbBp5g8Lgn-4Oj8mAtgN3TY92lI3vU4T6PPiwA4DXh2cX12TFi7j7aj6yEcPL576Orkx-XsJzm_OD2bHZ0TL7UcSSe94uslAm1djDq60HLN5loKJ2hkoVHzVurOaG-kpFRTphnrWmUom7dMiT30faO7nOaL0PkwjMX1dlnSwpWVzS7Z15Uh_bY3-c62tBG8aarA4aNAyX-nAKNdJPCh790Q8gSWK2U4r8elFf3yBr3NU6n3qpQ2RopGijXFN5QvGaCE-LQMo3Ztld1YZatV9sEqy2vT55ffeGr5b0wFxAaAWhpuQnme_Y7sPUr7nJg</recordid><startdate>20210630</startdate><enddate>20210630</enddate><creator>Jun, Tomi</creator><creator>Nirenberg, Sharon</creator><creator>Weinberger, Tziopora</creator><creator>Sharma, Navya</creator><creator>Pujadas, Elisabet</creator><creator>Cordon-Cardo, Carlos</creator><creator>Kovatch, Patricia</creator><creator>Huang, Kuan-lin</creator><general>Nature Publishing Group UK</general><general>Springer Nature B.V</general><scope>C6C</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88C</scope><scope>88E</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>COVID</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M0T</scope><scope>M1P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-4795-7945</orcidid><orcidid>https://orcid.org/0000-0002-5537-5817</orcidid></search><sort><creationdate>20210630</creationdate><title>Analysis of sex-specific risk factors and clinical outcomes in COVID-19</title><author>Jun, Tomi ; Nirenberg, Sharon ; Weinberger, Tziopora ; Sharma, Navya ; Pujadas, Elisabet ; Cordon-Cardo, Carlos ; Kovatch, Patricia ; Huang, Kuan-lin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c474t-d4c629480e09aff7fae9271b743a30f1e56b947d87c84400701711d96801b9163</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>692/308/174</topic><topic>692/699/255/2514</topic><topic>692/700/478</topic><topic>Body mass index</topic><topic>Cardiovascular disease</topic><topic>Chronic obstructive pulmonary disease</topic><topic>Clinical outcomes</topic><topic>Comorbidity</topic><topic>COVID-19</topic><topic>Cytokines</topic><topic>Datasets</topic><topic>Electronic health records</topic><topic>Ethnicity</topic><topic>Fatalities</topic><topic>Hospital systems</topic><topic>Hospitalization</topic><topic>Hospitals</topic><topic>Hypoxia</topic><topic>Intensive care</topic><topic>Medical records</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Mortality</topic><topic>Pandemics</topic><topic>Patients</topic><topic>Regression analysis</topic><topic>Risk factors</topic><topic>Ventilators</topic><topic>Vital signs</topic><topic>Womens health</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jun, Tomi</creatorcontrib><creatorcontrib>Nirenberg, Sharon</creatorcontrib><creatorcontrib>Weinberger, Tziopora</creatorcontrib><creatorcontrib>Sharma, Navya</creatorcontrib><creatorcontrib>Pujadas, Elisabet</creatorcontrib><creatorcontrib>Cordon-Cardo, Carlos</creatorcontrib><creatorcontrib>Kovatch, Patricia</creatorcontrib><creatorcontrib>Huang, Kuan-lin</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Healthcare Administration Database (Alumni)</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 Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</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>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Healthcare Administration Database</collection><collection>Medical Database</collection><collection>Publicly Available Content Database</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><jtitle>Communications medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Jun, Tomi</au><au>Nirenberg, Sharon</au><au>Weinberger, Tziopora</au><au>Sharma, Navya</au><au>Pujadas, Elisabet</au><au>Cordon-Cardo, Carlos</au><au>Kovatch, Patricia</au><au>Huang, Kuan-lin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Analysis of sex-specific risk factors and clinical outcomes in COVID-19</atitle><jtitle>Communications medicine</jtitle><stitle>Commun Med</stitle><addtitle>Commun Med (Lond)</addtitle><date>2021-06-30</date><risdate>2021</risdate><volume>1</volume><issue>1</issue><spage>3</spage><pages>3-</pages><artnum>3</artnum><issn>2730-664X</issn><eissn>2730-664X</eissn><abstract>Background
Sex has consistently been shown to affect COVID-19 mortality, but it remains unclear how each sex’s clinical outcome may be distinctively shaped by risk factors.
Methods
We studied a primary cohort of 4930 patients hospitalized with COVID-19 in a single healthcare system in New York City from the start of the pandemic till August 5, 2020, and a validation cohort of 1645 patients hospitalized with COVID-19 in the same healthcare system from August 5, 2020, to January 13, 2021.
Results
Here we show that male sex was independently associated with in-hospital mortality, intubation, and ICU care after adjusting for demographics and comorbidities. Using interaction analysis and sex-stratified models, we found that hypoxia interacted with sex to preferentially increase women’s mortality risk while obesity interacted with sex to preferentially increase women’s risk of intubation and intensive care in our primary cohort. In the validation cohort, we observed that male sex remained an independent risk factor for mortality, but sex-specific interactions were not replicated.
Conclusions
We conducted a comprehensive sex-stratified analysis of a large cohort of hospitalized COVID-19 patients, highlighting clinical factors that may contribute to sex differences in the outcome of COVID-19.
Plain Language Summary
Men are at higher risk of death from COVID-19 than women, but the underlying reasons are not fully understood. We examined the medical data of men and women hospitalized with COVID-19 in New York City to determine whether there were factors which raised the risk of death or requiring intensive care more for one sex rather than the other. We observed that men hospitalized with COVID-19 had a higher risk of death than women when other factors taken into account. Some conditions, like low oxygen levels and obesity, appeared to be associated with worse outcomes in women compared to men early in the pandemic but further studies will be necessary for confirmation. These findings highlight groups of men and women who may be at increased risk of severe COVID-19.
Jun et al. evaluate sex-stratified clinical outcomes in two cohorts of patients hospitalized with COVID-19 in New York. While male sex risk is a risk factor for poor outcome in both cohorts – one from earlier and one from later on in the pandemic – some of the sex-specific risk factors observed initially are not observed later on.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>35602223</pmid><doi>10.1038/s43856-021-00006-2</doi><orcidid>https://orcid.org/0000-0003-4795-7945</orcidid><orcidid>https://orcid.org/0000-0002-5537-5817</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | 692/308/174 692/699/255/2514 692/700/478 Body mass index Cardiovascular disease Chronic obstructive pulmonary disease Clinical outcomes Comorbidity COVID-19 Cytokines Datasets Electronic health records Ethnicity Fatalities Hospital systems Hospitalization Hospitals Hypoxia Intensive care Medical records Medicine Medicine & Public Health Mortality Pandemics Patients Regression analysis Risk factors Ventilators Vital signs Womens health |
title | Analysis of sex-specific risk factors and clinical outcomes in COVID-19 |
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