Factors associated with hospital admission and critical illness among 5279 people with coronavirus disease 2019 in New York City: prospective cohort study

AbstractObjectiveTo describe outcomes of people admitted to hospital with coronavirus disease 2019 (covid-19) in the United States, and the clinical and laboratory characteristics associated with severity of illness.DesignProspective cohort study.SettingSingle academic medical center in New York Cit...

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Veröffentlicht in:BMJ (Online) 2020-05, Vol.369, p.m1966-m1966
Hauptverfasser: Petrilli, Christopher M, Jones, Simon A, Yang, Jie, Rajagopalan, Harish, O’Donnell, Luke, Chernyak, Yelena, Tobin, Katie A, Cerfolio, Robert J, Francois, Fritz, Horwitz, Leora I
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container_start_page m1966
container_title BMJ (Online)
container_volume 369
creator Petrilli, Christopher M
Jones, Simon A
Yang, Jie
Rajagopalan, Harish
O’Donnell, Luke
Chernyak, Yelena
Tobin, Katie A
Cerfolio, Robert J
Francois, Fritz
Horwitz, Leora I
description AbstractObjectiveTo describe outcomes of people admitted to hospital with coronavirus disease 2019 (covid-19) in the United States, and the clinical and laboratory characteristics associated with severity of illness.DesignProspective cohort study.SettingSingle academic medical center in New York City and Long Island.Participants5279 patients with laboratory confirmed severe acute respiratory syndrome coronavirus 2 (SARS-Cov-2) infection between 1 March 2020 and 8 April 2020. The final date of follow up was 5 May 2020.Main outcome measuresOutcomes were admission to hospital, critical illness (intensive care, mechanical ventilation, discharge to hospice care, or death), and discharge to hospice care or death. Predictors included patient characteristics, medical history, vital signs, and laboratory results. Multivariable logistic regression was conducted to identify risk factors for adverse outcomes, and competing risk survival analysis for mortality.ResultsOf 11 544 people tested for SARS-Cov-2, 5566 (48.2%) were positive. After exclusions, 5279 were included. 2741 of these 5279 (51.9%) were admitted to hospital, of whom 1904 (69.5%) were discharged alive without hospice care and 665 (24.3%) were discharged to hospice care or died. Of 647 (23.6%) patients requiring mechanical ventilation, 391 (60.4%) died and 170 (26.2%) were extubated or discharged. The strongest risk for hospital admission was associated with age, with an odds ratio of >2 for all age groups older than 44 years and 37.9 (95% confidence interval 26.1 to 56.0) for ages 75 years and older. Other risks were heart failure (4.4, 2.6 to 8.0), male sex (2.8, 2.4 to 3.2), chronic kidney disease (2.6, 1.9 to 3.6), and any increase in body mass index (BMI) (eg, for BMI >40: 2.5, 1.8 to 3.4). The strongest risks for critical illness besides age were associated with heart failure (1.9, 1.4 to 2.5), BMI >40 (1.5, 1.0 to 2.2), and male sex (1.5, 1.3 to 1.8). Admission oxygen saturation of 1 (4.8, 2.1 to 10.9), C reactive protein level >200 (5.1, 2.8 to 9.2), and D-dimer level >2500 (3.9, 2.6 to 6.0) were, however, more strongly associated with critical illness than age or comorbidities. Risk of critical illness decreased significantly over the study period. Similar associations were found for mortality alone.ConclusionsAge and comorbidities were found to be strong predictors of hospital admission and to a lesser extent of critical illness and mortality in people wit
doi_str_mv 10.1136/bmj.m1966
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The final date of follow up was 5 May 2020.Main outcome measuresOutcomes were admission to hospital, critical illness (intensive care, mechanical ventilation, discharge to hospice care, or death), and discharge to hospice care or death. Predictors included patient characteristics, medical history, vital signs, and laboratory results. Multivariable logistic regression was conducted to identify risk factors for adverse outcomes, and competing risk survival analysis for mortality.ResultsOf 11 544 people tested for SARS-Cov-2, 5566 (48.2%) were positive. After exclusions, 5279 were included. 2741 of these 5279 (51.9%) were admitted to hospital, of whom 1904 (69.5%) were discharged alive without hospice care and 665 (24.3%) were discharged to hospice care or died. Of 647 (23.6%) patients requiring mechanical ventilation, 391 (60.4%) died and 170 (26.2%) were extubated or discharged. The strongest risk for hospital admission was associated with age, with an odds ratio of &gt;2 for all age groups older than 44 years and 37.9 (95% confidence interval 26.1 to 56.0) for ages 75 years and older. Other risks were heart failure (4.4, 2.6 to 8.0), male sex (2.8, 2.4 to 3.2), chronic kidney disease (2.6, 1.9 to 3.6), and any increase in body mass index (BMI) (eg, for BMI &gt;40: 2.5, 1.8 to 3.4). The strongest risks for critical illness besides age were associated with heart failure (1.9, 1.4 to 2.5), BMI &gt;40 (1.5, 1.0 to 2.2), and male sex (1.5, 1.3 to 1.8). Admission oxygen saturation of &lt;88% (3.7, 2.8 to 4.8), troponin level &gt;1 (4.8, 2.1 to 10.9), C reactive protein level &gt;200 (5.1, 2.8 to 9.2), and D-dimer level &gt;2500 (3.9, 2.6 to 6.0) were, however, more strongly associated with critical illness than age or comorbidities. Risk of critical illness decreased significantly over the study period. Similar associations were found for mortality alone.ConclusionsAge and comorbidities were found to be strong predictors of hospital admission and to a lesser extent of critical illness and mortality in people with covid-19; however, impairment of oxygen on admission and markers of inflammation were most strongly associated with critical illness and mortality. Outcomes seem to be improving over time, potentially suggesting improvements in care.</description><identifier>ISSN: 1756-1833</identifier><identifier>ISSN: 0959-8138</identifier><identifier>EISSN: 1756-1833</identifier><identifier>DOI: 10.1136/bmj.m1966</identifier><identifier>PMID: 32444366</identifier><language>eng</language><publisher>England: British Medical Journal Publishing Group</publisher><subject>Adult ; Age Factors ; Aged ; Betacoronavirus ; Body mass index ; C-reactive protein ; Calcium-binding protein ; Cardiovascular disease ; Cohort analysis ; Comorbidity ; Confidence intervals ; Congestive heart failure ; Coronaviridae ; Coronavirus Infections - epidemiology ; Coronavirus Infections - mortality ; Coronaviruses ; COVID-19 ; Critical Care ; Critical Illness - epidemiology ; Epidemics ; Female ; Hispanic people ; Hospitalization ; Hospitalization - statistics &amp; numerical data ; Hospitals ; Humans ; Illnesses ; Intensive care ; Kidney diseases ; Laboratories ; Libraries ; Male ; Mechanical ventilation ; Middle Aged ; Mortality ; New York City - epidemiology ; Oxygen ; Pandemics ; Patients ; Pneumonia, Viral - epidemiology ; Pneumonia, Viral - mortality ; Prospective Studies ; Respiration, Artificial ; Risk Factors ; SARS-CoV-2 ; Severe acute respiratory syndrome coronavirus 2 ; Signs ; Skin cancer ; Troponin ; Ventilators ; Vital signs ; Young Adult</subject><ispartof>BMJ (Online), 2020-05, Vol.369, p.m1966-m1966</ispartof><rights>Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.</rights><rights>Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.</rights><rights>2020 Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. BMJ http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ . Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. 2020 BMJ</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b4056-fd9c726a478387f97d13b340de85c2516fc82438245100eb696f4b6ae4c729f03</citedby><cites>FETCH-LOGICAL-b4056-fd9c726a478387f97d13b340de85c2516fc82438245100eb696f4b6ae4c729f03</cites><orcidid>0000-0003-1800-6040</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,881,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32444366$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Petrilli, Christopher M</creatorcontrib><creatorcontrib>Jones, Simon A</creatorcontrib><creatorcontrib>Yang, Jie</creatorcontrib><creatorcontrib>Rajagopalan, Harish</creatorcontrib><creatorcontrib>O’Donnell, Luke</creatorcontrib><creatorcontrib>Chernyak, Yelena</creatorcontrib><creatorcontrib>Tobin, Katie A</creatorcontrib><creatorcontrib>Cerfolio, Robert J</creatorcontrib><creatorcontrib>Francois, Fritz</creatorcontrib><creatorcontrib>Horwitz, Leora I</creatorcontrib><title>Factors associated with hospital admission and critical illness among 5279 people with coronavirus disease 2019 in New York City: prospective cohort study</title><title>BMJ (Online)</title><addtitle>BMJ</addtitle><addtitle>BMJ</addtitle><description>AbstractObjectiveTo describe outcomes of people admitted to hospital with coronavirus disease 2019 (covid-19) in the United States, and the clinical and laboratory characteristics associated with severity of illness.DesignProspective cohort study.SettingSingle academic medical center in New York City and Long Island.Participants5279 patients with laboratory confirmed severe acute respiratory syndrome coronavirus 2 (SARS-Cov-2) infection between 1 March 2020 and 8 April 2020. The final date of follow up was 5 May 2020.Main outcome measuresOutcomes were admission to hospital, critical illness (intensive care, mechanical ventilation, discharge to hospice care, or death), and discharge to hospice care or death. Predictors included patient characteristics, medical history, vital signs, and laboratory results. Multivariable logistic regression was conducted to identify risk factors for adverse outcomes, and competing risk survival analysis for mortality.ResultsOf 11 544 people tested for SARS-Cov-2, 5566 (48.2%) were positive. After exclusions, 5279 were included. 2741 of these 5279 (51.9%) were admitted to hospital, of whom 1904 (69.5%) were discharged alive without hospice care and 665 (24.3%) were discharged to hospice care or died. Of 647 (23.6%) patients requiring mechanical ventilation, 391 (60.4%) died and 170 (26.2%) were extubated or discharged. The strongest risk for hospital admission was associated with age, with an odds ratio of &gt;2 for all age groups older than 44 years and 37.9 (95% confidence interval 26.1 to 56.0) for ages 75 years and older. Other risks were heart failure (4.4, 2.6 to 8.0), male sex (2.8, 2.4 to 3.2), chronic kidney disease (2.6, 1.9 to 3.6), and any increase in body mass index (BMI) (eg, for BMI &gt;40: 2.5, 1.8 to 3.4). The strongest risks for critical illness besides age were associated with heart failure (1.9, 1.4 to 2.5), BMI &gt;40 (1.5, 1.0 to 2.2), and male sex (1.5, 1.3 to 1.8). Admission oxygen saturation of &lt;88% (3.7, 2.8 to 4.8), troponin level &gt;1 (4.8, 2.1 to 10.9), C reactive protein level &gt;200 (5.1, 2.8 to 9.2), and D-dimer level &gt;2500 (3.9, 2.6 to 6.0) were, however, more strongly associated with critical illness than age or comorbidities. Risk of critical illness decreased significantly over the study period. Similar associations were found for mortality alone.ConclusionsAge and comorbidities were found to be strong predictors of hospital admission and to a lesser extent of critical illness and mortality in people with covid-19; however, impairment of oxygen on admission and markers of inflammation were most strongly associated with critical illness and mortality. Outcomes seem to be improving over time, potentially suggesting improvements in care.</description><subject>Adult</subject><subject>Age Factors</subject><subject>Aged</subject><subject>Betacoronavirus</subject><subject>Body mass index</subject><subject>C-reactive protein</subject><subject>Calcium-binding protein</subject><subject>Cardiovascular disease</subject><subject>Cohort analysis</subject><subject>Comorbidity</subject><subject>Confidence intervals</subject><subject>Congestive heart failure</subject><subject>Coronaviridae</subject><subject>Coronavirus Infections - epidemiology</subject><subject>Coronavirus Infections - mortality</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>Critical Care</subject><subject>Critical Illness - epidemiology</subject><subject>Epidemics</subject><subject>Female</subject><subject>Hispanic people</subject><subject>Hospitalization</subject><subject>Hospitalization - statistics &amp; numerical data</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Illnesses</subject><subject>Intensive care</subject><subject>Kidney diseases</subject><subject>Laboratories</subject><subject>Libraries</subject><subject>Male</subject><subject>Mechanical ventilation</subject><subject>Middle Aged</subject><subject>Mortality</subject><subject>New York City - epidemiology</subject><subject>Oxygen</subject><subject>Pandemics</subject><subject>Patients</subject><subject>Pneumonia, Viral - epidemiology</subject><subject>Pneumonia, Viral - mortality</subject><subject>Prospective Studies</subject><subject>Respiration, Artificial</subject><subject>Risk Factors</subject><subject>SARS-CoV-2</subject><subject>Severe acute respiratory syndrome coronavirus 2</subject><subject>Signs</subject><subject>Skin cancer</subject><subject>Troponin</subject><subject>Ventilators</subject><subject>Vital signs</subject><subject>Young Adult</subject><issn>1756-1833</issn><issn>0959-8138</issn><issn>1756-1833</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>9YT</sourceid><sourceid>ACMMV</sourceid><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNp9kdFuFCEUhonR2Kb2whcwJGqiF1thYGDwwsRsrJo0eqMXXhGGOdNlnYEpMNvsq_i0st26Vk28IBD4_p9zzo_QY0rOKGXiVTuuz0aqhLiHjqmsxYI2jN2_cz5CpymtCSEVk40S9UN0xCrOORPiGP04NzaHmLBJKVhnMnT42uUVXoU0uWwGbLrRpeSCx8Z32EaXnS3Xbhg8pKIbg7_EdSUVniBMA-zlNsTgzcbFOeHOJTAJcEWows7jT3CNv4X4HS9d3r7GUyxfgc1uA0W2CjHjlOdu-wg96M2Q4PR2P0Ffz999WX5YXHx-_3H59mLRclJa7DtlZSUMlw1rZK9kR1nLOOmgqW1VU9HbpuKsrJoSAq1QouetMMCLTPWEnaA3e99pbkfoLPgczaCn6EYTtzoYp_988W6lL8NGy50tocXgxa1BDFczpKzLxCwMg_EQ5qQrTgQjoqlVQZ_-ha7DHH1pb0fVUilxY_hyT9kymhShPxRDid6Frkvo-ib0wj65W_2B_BVxAZ7tgZ3mfz7Pf2OHov7lfgKqocFG</recordid><startdate>20200522</startdate><enddate>20200522</enddate><creator>Petrilli, Christopher M</creator><creator>Jones, Simon A</creator><creator>Yang, Jie</creator><creator>Rajagopalan, Harish</creator><creator>O’Donnell, Luke</creator><creator>Chernyak, Yelena</creator><creator>Tobin, Katie A</creator><creator>Cerfolio, Robert J</creator><creator>Francois, Fritz</creator><creator>Horwitz, Leora I</creator><general>British Medical Journal Publishing Group</general><general>BMJ Publishing Group LTD</general><general>BMJ Publishing Group Ltd</general><scope>9YT</scope><scope>ACMMV</scope><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>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88I</scope><scope>8AF</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ASE</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BTHHO</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FPQ</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>K6X</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M2O</scope><scope>M2P</scope><scope>M7P</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-1800-6040</orcidid></search><sort><creationdate>20200522</creationdate><title>Factors associated with hospital admission and critical illness among 5279 people with coronavirus disease 2019 in New York City: prospective cohort study</title><author>Petrilli, Christopher M ; Jones, Simon A ; Yang, Jie ; Rajagopalan, Harish ; O’Donnell, Luke ; Chernyak, Yelena ; Tobin, Katie A ; Cerfolio, Robert J ; Francois, Fritz ; Horwitz, Leora I</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b4056-fd9c726a478387f97d13b340de85c2516fc82438245100eb696f4b6ae4c729f03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Adult</topic><topic>Age Factors</topic><topic>Aged</topic><topic>Betacoronavirus</topic><topic>Body mass index</topic><topic>C-reactive protein</topic><topic>Calcium-binding protein</topic><topic>Cardiovascular disease</topic><topic>Cohort analysis</topic><topic>Comorbidity</topic><topic>Confidence intervals</topic><topic>Congestive heart failure</topic><topic>Coronaviridae</topic><topic>Coronavirus Infections - epidemiology</topic><topic>Coronavirus Infections - mortality</topic><topic>Coronaviruses</topic><topic>COVID-19</topic><topic>Critical Care</topic><topic>Critical Illness - epidemiology</topic><topic>Epidemics</topic><topic>Female</topic><topic>Hispanic people</topic><topic>Hospitalization</topic><topic>Hospitalization - statistics &amp; numerical data</topic><topic>Hospitals</topic><topic>Humans</topic><topic>Illnesses</topic><topic>Intensive care</topic><topic>Kidney diseases</topic><topic>Laboratories</topic><topic>Libraries</topic><topic>Male</topic><topic>Mechanical ventilation</topic><topic>Middle Aged</topic><topic>Mortality</topic><topic>New York City - epidemiology</topic><topic>Oxygen</topic><topic>Pandemics</topic><topic>Patients</topic><topic>Pneumonia, Viral - epidemiology</topic><topic>Pneumonia, Viral - mortality</topic><topic>Prospective Studies</topic><topic>Respiration, Artificial</topic><topic>Risk Factors</topic><topic>SARS-CoV-2</topic><topic>Severe acute respiratory syndrome coronavirus 2</topic><topic>Signs</topic><topic>Skin cancer</topic><topic>Troponin</topic><topic>Ventilators</topic><topic>Vital signs</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Petrilli, Christopher M</creatorcontrib><creatorcontrib>Jones, Simon A</creatorcontrib><creatorcontrib>Yang, Jie</creatorcontrib><creatorcontrib>Rajagopalan, Harish</creatorcontrib><creatorcontrib>O’Donnell, Luke</creatorcontrib><creatorcontrib>Chernyak, Yelena</creatorcontrib><creatorcontrib>Tobin, Katie A</creatorcontrib><creatorcontrib>Cerfolio, Robert J</creatorcontrib><creatorcontrib>Francois, Fritz</creatorcontrib><creatorcontrib>Horwitz, Leora I</creatorcontrib><collection>BMJ Open Access Journals</collection><collection>BMJ Journals:Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing &amp; 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Medical Complete (Alumni)</collection><collection>Nursing &amp; Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Research Library</collection><collection>Science Database</collection><collection>Biological Science Database</collection><collection>Research Library (Corporate)</collection><collection>Nursing &amp; Allied Health Premium</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>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>BMJ (Online)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Petrilli, Christopher M</au><au>Jones, Simon A</au><au>Yang, Jie</au><au>Rajagopalan, Harish</au><au>O’Donnell, Luke</au><au>Chernyak, Yelena</au><au>Tobin, Katie A</au><au>Cerfolio, Robert J</au><au>Francois, Fritz</au><au>Horwitz, Leora I</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Factors associated with hospital admission and critical illness among 5279 people with coronavirus disease 2019 in New York City: prospective cohort study</atitle><jtitle>BMJ (Online)</jtitle><stitle>BMJ</stitle><addtitle>BMJ</addtitle><date>2020-05-22</date><risdate>2020</risdate><volume>369</volume><spage>m1966</spage><epage>m1966</epage><pages>m1966-m1966</pages><issn>1756-1833</issn><issn>0959-8138</issn><eissn>1756-1833</eissn><abstract>AbstractObjectiveTo describe outcomes of people admitted to hospital with coronavirus disease 2019 (covid-19) in the United States, and the clinical and laboratory characteristics associated with severity of illness.DesignProspective cohort study.SettingSingle academic medical center in New York City and Long Island.Participants5279 patients with laboratory confirmed severe acute respiratory syndrome coronavirus 2 (SARS-Cov-2) infection between 1 March 2020 and 8 April 2020. The final date of follow up was 5 May 2020.Main outcome measuresOutcomes were admission to hospital, critical illness (intensive care, mechanical ventilation, discharge to hospice care, or death), and discharge to hospice care or death. Predictors included patient characteristics, medical history, vital signs, and laboratory results. Multivariable logistic regression was conducted to identify risk factors for adverse outcomes, and competing risk survival analysis for mortality.ResultsOf 11 544 people tested for SARS-Cov-2, 5566 (48.2%) were positive. After exclusions, 5279 were included. 2741 of these 5279 (51.9%) were admitted to hospital, of whom 1904 (69.5%) were discharged alive without hospice care and 665 (24.3%) were discharged to hospice care or died. Of 647 (23.6%) patients requiring mechanical ventilation, 391 (60.4%) died and 170 (26.2%) were extubated or discharged. The strongest risk for hospital admission was associated with age, with an odds ratio of &gt;2 for all age groups older than 44 years and 37.9 (95% confidence interval 26.1 to 56.0) for ages 75 years and older. Other risks were heart failure (4.4, 2.6 to 8.0), male sex (2.8, 2.4 to 3.2), chronic kidney disease (2.6, 1.9 to 3.6), and any increase in body mass index (BMI) (eg, for BMI &gt;40: 2.5, 1.8 to 3.4). The strongest risks for critical illness besides age were associated with heart failure (1.9, 1.4 to 2.5), BMI &gt;40 (1.5, 1.0 to 2.2), and male sex (1.5, 1.3 to 1.8). Admission oxygen saturation of &lt;88% (3.7, 2.8 to 4.8), troponin level &gt;1 (4.8, 2.1 to 10.9), C reactive protein level &gt;200 (5.1, 2.8 to 9.2), and D-dimer level &gt;2500 (3.9, 2.6 to 6.0) were, however, more strongly associated with critical illness than age or comorbidities. Risk of critical illness decreased significantly over the study period. Similar associations were found for mortality alone.ConclusionsAge and comorbidities were found to be strong predictors of hospital admission and to a lesser extent of critical illness and mortality in people with covid-19; however, impairment of oxygen on admission and markers of inflammation were most strongly associated with critical illness and mortality. Outcomes seem to be improving over time, potentially suggesting improvements in care.</abstract><cop>England</cop><pub>British Medical Journal Publishing Group</pub><pmid>32444366</pmid><doi>10.1136/bmj.m1966</doi><orcidid>https://orcid.org/0000-0003-1800-6040</orcidid><oa>free_for_read</oa></addata></record>
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identifier ISSN: 1756-1833
ispartof BMJ (Online), 2020-05, Vol.369, p.m1966-m1966
issn 1756-1833
0959-8138
1756-1833
language eng
recordid cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7243801
source Jstor Complete Legacy; MEDLINE
subjects Adult
Age Factors
Aged
Betacoronavirus
Body mass index
C-reactive protein
Calcium-binding protein
Cardiovascular disease
Cohort analysis
Comorbidity
Confidence intervals
Congestive heart failure
Coronaviridae
Coronavirus Infections - epidemiology
Coronavirus Infections - mortality
Coronaviruses
COVID-19
Critical Care
Critical Illness - epidemiology
Epidemics
Female
Hispanic people
Hospitalization
Hospitalization - statistics & numerical data
Hospitals
Humans
Illnesses
Intensive care
Kidney diseases
Laboratories
Libraries
Male
Mechanical ventilation
Middle Aged
Mortality
New York City - epidemiology
Oxygen
Pandemics
Patients
Pneumonia, Viral - epidemiology
Pneumonia, Viral - mortality
Prospective Studies
Respiration, Artificial
Risk Factors
SARS-CoV-2
Severe acute respiratory syndrome coronavirus 2
Signs
Skin cancer
Troponin
Ventilators
Vital signs
Young Adult
title Factors associated with hospital admission and critical illness among 5279 people with coronavirus disease 2019 in New York City: prospective cohort study
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