Risk factors for severe illness in hospitalized Covid-19 patients at a regional hospital
The Covid-19 pandemic threatens to overwhelm scarce clinical resources. Risk factors for severe illness must be identified to make efficient resource allocations. To evaluate risk factors for severe illness. Retrospective, observational case series. Single-institution. First 117 consecutive patients...
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description | The Covid-19 pandemic threatens to overwhelm scarce clinical resources. Risk factors for severe illness must be identified to make efficient resource allocations.
To evaluate risk factors for severe illness.
Retrospective, observational case series.
Single-institution.
First 117 consecutive patients hospitalized for Covid-19 from March 1 to April 12, 2020.
None.
Intensive care unit admission or death.
In-hospital mortality was 24.8% and average total length of stay was 11.82 days (95% CI: 10.01 to 13.63 days). 30.8% of patients required intensive care unit admission and 29.1% required mechanical ventilation. Multivariate regression identified the amount of supplemental oxygen required at admission (OR: 1.208, 95% CI: 1.011-1.443, p = .037), sputum production (OR: 6.734, 95% CI: 1.630-27.812, p = .008), insulin dependent diabetes mellitus (OR: 11.873, 95% CI: 2.218-63.555, p = .004) and chronic kidney disease (OR: 4.793, 95% CI: 1.528-15.037, p = .007) as significant risk factors for intensive care unit admission or death. Of the 48 patients who were admitted to the intensive care unit or died, this occurred within 3 days of arrival in 42%, within 6 days in 71%, and within 9 days in 88% of patients.
At our regional medical center, patients with Covid-19 had an average length of stay just under 12 days, required ICU care in 31% of cases, and had a 25% mortality rate. Patients with increased sputum production and higher supplemental oxygen requirements at admission, and insulin dependent diabetes or chronic kidney disease may be at increased risk for severe illness. A model for predicting intensive care unit admission or death with excellent discrimination was created that may aid in treatment decisions and resource allocation. Early identification of patients at increased risk for severe illness may lead to improved outcomes in patients hospitalized with Covid-19. |
doi_str_mv | 10.1371/journal.pone.0237558 |
format | Article |
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To evaluate risk factors for severe illness.
Retrospective, observational case series.
Single-institution.
First 117 consecutive patients hospitalized for Covid-19 from March 1 to April 12, 2020.
None.
Intensive care unit admission or death.
In-hospital mortality was 24.8% and average total length of stay was 11.82 days (95% CI: 10.01 to 13.63 days). 30.8% of patients required intensive care unit admission and 29.1% required mechanical ventilation. Multivariate regression identified the amount of supplemental oxygen required at admission (OR: 1.208, 95% CI: 1.011-1.443, p = .037), sputum production (OR: 6.734, 95% CI: 1.630-27.812, p = .008), insulin dependent diabetes mellitus (OR: 11.873, 95% CI: 2.218-63.555, p = .004) and chronic kidney disease (OR: 4.793, 95% CI: 1.528-15.037, p = .007) as significant risk factors for intensive care unit admission or death. Of the 48 patients who were admitted to the intensive care unit or died, this occurred within 3 days of arrival in 42%, within 6 days in 71%, and within 9 days in 88% of patients.
At our regional medical center, patients with Covid-19 had an average length of stay just under 12 days, required ICU care in 31% of cases, and had a 25% mortality rate. Patients with increased sputum production and higher supplemental oxygen requirements at admission, and insulin dependent diabetes or chronic kidney disease may be at increased risk for severe illness. A model for predicting intensive care unit admission or death with excellent discrimination was created that may aid in treatment decisions and resource allocation. Early identification of patients at increased risk for severe illness may lead to improved outcomes in patients hospitalized with Covid-19.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0237558</identifier><identifier>PMID: 32785285</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Age ; Aged ; Aged, 80 and over ; Betacoronavirus - genetics ; Biology and Life Sciences ; Complications and side effects ; Coronavirus Infections - epidemiology ; Coronavirus Infections - mortality ; Coronavirus Infections - pathology ; Coronavirus Infections - virology ; Coronaviruses ; COVID-19 ; Critical Illness ; Death ; Diabetes ; Diabetes mellitus ; Diabetes mellitus (insulin dependent) ; Female ; Health care facilities ; Health Care Rationing ; Health risks ; Hospital Mortality ; Hospital patients ; Hospitalization ; Hospitals ; Hospitals, Community ; Humans ; Illnesses ; Insulin ; Intensive Care Units ; Kidney diseases ; Kidneys ; Length of Stay ; Male ; Maryland - epidemiology ; Mechanical ventilation ; Medicine and Health Sciences ; Middle Aged ; Mortality ; Orthopedics ; Oxygen ; Oxygen requirement ; Oxygen requirements ; Pandemics ; Patient outcomes ; Patients ; Physical Sciences ; Pneumonia, Viral - epidemiology ; Pneumonia, Viral - mortality ; Pneumonia, Viral - pathology ; Pneumonia, Viral - virology ; Resource allocation ; Respiration, Artificial ; Retrospective Studies ; Reverse Transcriptase Polymerase Chain Reaction ; Risk allocation ; Risk analysis ; Risk Factors ; SARS-CoV-2 ; Sputum ; Ventilation ; Ventilators ; West, Jane</subject><ispartof>PloS one, 2020-08, Vol.15 (8), p.e0237558-e0237558</ispartof><rights>COPYRIGHT 2020 Public Library of Science</rights><rights>2020 Turcotte et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2020 Turcotte et al 2020 Turcotte et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-67774d6297075e0629abc93ddefc184032520d71b8c589ada4d43437776dcbb73</citedby><cites>FETCH-LOGICAL-c692t-67774d6297075e0629abc93ddefc184032520d71b8c589ada4d43437776dcbb73</cites><orcidid>0000-0002-5591-8033</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/PMC7423129/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7423129/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79342,79343</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32785285$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Turcotte, Justin J</creatorcontrib><creatorcontrib>Meisenberg, Barry R</creatorcontrib><creatorcontrib>MacDonald, James H</creatorcontrib><creatorcontrib>Menon, Nandakumar</creatorcontrib><creatorcontrib>Fowler, Marcia B</creatorcontrib><creatorcontrib>West, Michaline</creatorcontrib><creatorcontrib>Rhule, Jane</creatorcontrib><creatorcontrib>Qureshi, Sadaf S</creatorcontrib><creatorcontrib>MacDonald, Eileen B</creatorcontrib><title>Risk factors for severe illness in hospitalized Covid-19 patients at a regional hospital</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>The Covid-19 pandemic threatens to overwhelm scarce clinical resources. Risk factors for severe illness must be identified to make efficient resource allocations.
To evaluate risk factors for severe illness.
Retrospective, observational case series.
Single-institution.
First 117 consecutive patients hospitalized for Covid-19 from March 1 to April 12, 2020.
None.
Intensive care unit admission or death.
In-hospital mortality was 24.8% and average total length of stay was 11.82 days (95% CI: 10.01 to 13.63 days). 30.8% of patients required intensive care unit admission and 29.1% required mechanical ventilation. Multivariate regression identified the amount of supplemental oxygen required at admission (OR: 1.208, 95% CI: 1.011-1.443, p = .037), sputum production (OR: 6.734, 95% CI: 1.630-27.812, p = .008), insulin dependent diabetes mellitus (OR: 11.873, 95% CI: 2.218-63.555, p = .004) and chronic kidney disease (OR: 4.793, 95% CI: 1.528-15.037, p = .007) as significant risk factors for intensive care unit admission or death. Of the 48 patients who were admitted to the intensive care unit or died, this occurred within 3 days of arrival in 42%, within 6 days in 71%, and within 9 days in 88% of patients.
At our regional medical center, patients with Covid-19 had an average length of stay just under 12 days, required ICU care in 31% of cases, and had a 25% mortality rate. Patients with increased sputum production and higher supplemental oxygen requirements at admission, and insulin dependent diabetes or chronic kidney disease may be at increased risk for severe illness. A model for predicting intensive care unit admission or death with excellent discrimination was created that may aid in treatment decisions and resource allocation. Early identification of patients at increased risk for severe illness may lead to improved outcomes in patients hospitalized with Covid-19.</description><subject>Age</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Betacoronavirus - genetics</subject><subject>Biology and Life Sciences</subject><subject>Complications and side effects</subject><subject>Coronavirus Infections - epidemiology</subject><subject>Coronavirus Infections - mortality</subject><subject>Coronavirus Infections - pathology</subject><subject>Coronavirus Infections - virology</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>Critical Illness</subject><subject>Death</subject><subject>Diabetes</subject><subject>Diabetes mellitus</subject><subject>Diabetes mellitus (insulin dependent)</subject><subject>Female</subject><subject>Health care facilities</subject><subject>Health Care Rationing</subject><subject>Health risks</subject><subject>Hospital Mortality</subject><subject>Hospital patients</subject><subject>Hospitalization</subject><subject>Hospitals</subject><subject>Hospitals, Community</subject><subject>Humans</subject><subject>Illnesses</subject><subject>Insulin</subject><subject>Intensive Care Units</subject><subject>Kidney diseases</subject><subject>Kidneys</subject><subject>Length of Stay</subject><subject>Male</subject><subject>Maryland - epidemiology</subject><subject>Mechanical ventilation</subject><subject>Medicine and Health Sciences</subject><subject>Middle Aged</subject><subject>Mortality</subject><subject>Orthopedics</subject><subject>Oxygen</subject><subject>Oxygen requirement</subject><subject>Oxygen requirements</subject><subject>Pandemics</subject><subject>Patient outcomes</subject><subject>Patients</subject><subject>Physical Sciences</subject><subject>Pneumonia, Viral - epidemiology</subject><subject>Pneumonia, Viral - mortality</subject><subject>Pneumonia, Viral - pathology</subject><subject>Pneumonia, Viral - virology</subject><subject>Resource allocation</subject><subject>Respiration, Artificial</subject><subject>Retrospective Studies</subject><subject>Reverse Transcriptase Polymerase Chain Reaction</subject><subject>Risk allocation</subject><subject>Risk analysis</subject><subject>Risk Factors</subject><subject>SARS-CoV-2</subject><subject>Sputum</subject><subject>Ventilation</subject><subject>Ventilators</subject><subject>West, Jane</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNqNk11r2zAUhs3YWLtu_2BshsHYLpLJkiXZN4MS9hEoFLoPdidk6ThRplipJId2v35K44Z49GLoQkJ63vdIR-dk2csCTQvCiw8r1_tO2unGdTBFmHBKq0fZaVETPGEYkcdH65PsWQgrhCipGHuanRDMK4orepr9ujLhd95KFZ0Peet8HmALHnJjbQch5KbLly5sTJTW_AGdz9zW6ElR5xsZDXQx5DLmMvewMC5d5wA_z5600gZ4Mcxn2Y_Pn77Pvk4uLr_MZ-cXE8VqHCeMc15qhmuOOAWUFrJRNdEaWlVUJSKYYqR50VSKVrXUstQlKUlSMa2ahpOz7PXed2NdEENSgsAlIbisKWWJmO8J7eRKbLxZS38rnDTibsP5hZA-GmVBEIkKxOqWAsMla3hNsQbO2wa1DNq6Tl4fh2h9swatUgK8tCPT8UlnlmLhtoKXmBR4Z_BuMPDuuocQxdoEBdbKDlx_d-8SMVThKqFv_kEfft1ALWR6gOlal-Kqnak4ZwQTxCjfeU0foNLQsDYqVVBr0v5I8H4kSEyEm7iQfQhi_u3q_9nLn2P27RG7BGnjMjjbx1Q9YQyWe1B5F4KH9pDkAoldA9xnQ-waQAwNkGSvjj_oILqvePIXa5L_EA</recordid><startdate>20200812</startdate><enddate>20200812</enddate><creator>Turcotte, Justin J</creator><creator>Meisenberg, Barry R</creator><creator>MacDonald, James H</creator><creator>Menon, Nandakumar</creator><creator>Fowler, Marcia B</creator><creator>West, Michaline</creator><creator>Rhule, Jane</creator><creator>Qureshi, Sadaf S</creator><creator>MacDonald, Eileen B</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</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>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-5591-8033</orcidid></search><sort><creationdate>20200812</creationdate><title>Risk factors for severe illness in hospitalized Covid-19 patients at a regional hospital</title><author>Turcotte, Justin J ; Meisenberg, Barry R ; MacDonald, James H ; Menon, Nandakumar ; Fowler, Marcia B ; West, Michaline ; Rhule, Jane ; Qureshi, Sadaf S ; MacDonald, Eileen B</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-67774d6297075e0629abc93ddefc184032520d71b8c589ada4d43437776dcbb73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Age</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Betacoronavirus - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Turcotte, Justin J</au><au>Meisenberg, Barry R</au><au>MacDonald, James H</au><au>Menon, Nandakumar</au><au>Fowler, Marcia B</au><au>West, Michaline</au><au>Rhule, Jane</au><au>Qureshi, Sadaf S</au><au>MacDonald, Eileen B</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Risk factors for severe illness in hospitalized Covid-19 patients at a regional hospital</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2020-08-12</date><risdate>2020</risdate><volume>15</volume><issue>8</issue><spage>e0237558</spage><epage>e0237558</epage><pages>e0237558-e0237558</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>The Covid-19 pandemic threatens to overwhelm scarce clinical resources. Risk factors for severe illness must be identified to make efficient resource allocations.
To evaluate risk factors for severe illness.
Retrospective, observational case series.
Single-institution.
First 117 consecutive patients hospitalized for Covid-19 from March 1 to April 12, 2020.
None.
Intensive care unit admission or death.
In-hospital mortality was 24.8% and average total length of stay was 11.82 days (95% CI: 10.01 to 13.63 days). 30.8% of patients required intensive care unit admission and 29.1% required mechanical ventilation. Multivariate regression identified the amount of supplemental oxygen required at admission (OR: 1.208, 95% CI: 1.011-1.443, p = .037), sputum production (OR: 6.734, 95% CI: 1.630-27.812, p = .008), insulin dependent diabetes mellitus (OR: 11.873, 95% CI: 2.218-63.555, p = .004) and chronic kidney disease (OR: 4.793, 95% CI: 1.528-15.037, p = .007) as significant risk factors for intensive care unit admission or death. Of the 48 patients who were admitted to the intensive care unit or died, this occurred within 3 days of arrival in 42%, within 6 days in 71%, and within 9 days in 88% of patients.
At our regional medical center, patients with Covid-19 had an average length of stay just under 12 days, required ICU care in 31% of cases, and had a 25% mortality rate. Patients with increased sputum production and higher supplemental oxygen requirements at admission, and insulin dependent diabetes or chronic kidney disease may be at increased risk for severe illness. A model for predicting intensive care unit admission or death with excellent discrimination was created that may aid in treatment decisions and resource allocation. Early identification of patients at increased risk for severe illness may lead to improved outcomes in patients hospitalized with Covid-19.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>32785285</pmid><doi>10.1371/journal.pone.0237558</doi><tpages>e0237558</tpages><orcidid>https://orcid.org/0000-0002-5591-8033</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1932-6203 |
ispartof | PloS one, 2020-08, Vol.15 (8), p.e0237558-e0237558 |
issn | 1932-6203 1932-6203 |
language | eng |
recordid | cdi_plos_journals_2433249556 |
source | Public Library of Science (PLoS) Journals Open Access; MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; Free Full-Text Journals in Chemistry |
subjects | Age Aged Aged, 80 and over Betacoronavirus - genetics Biology and Life Sciences Complications and side effects Coronavirus Infections - epidemiology Coronavirus Infections - mortality Coronavirus Infections - pathology Coronavirus Infections - virology Coronaviruses COVID-19 Critical Illness Death Diabetes Diabetes mellitus Diabetes mellitus (insulin dependent) Female Health care facilities Health Care Rationing Health risks Hospital Mortality Hospital patients Hospitalization Hospitals Hospitals, Community Humans Illnesses Insulin Intensive Care Units Kidney diseases Kidneys Length of Stay Male Maryland - epidemiology Mechanical ventilation Medicine and Health Sciences Middle Aged Mortality Orthopedics Oxygen Oxygen requirement Oxygen requirements Pandemics Patient outcomes Patients Physical Sciences Pneumonia, Viral - epidemiology Pneumonia, Viral - mortality Pneumonia, Viral - pathology Pneumonia, Viral - virology Resource allocation Respiration, Artificial Retrospective Studies Reverse Transcriptase Polymerase Chain Reaction Risk allocation Risk analysis Risk Factors SARS-CoV-2 Sputum Ventilation Ventilators West, Jane |
title | Risk factors for severe illness in hospitalized Covid-19 patients at a regional hospital |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-11T10%3A14%3A13IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Risk%20factors%20for%20severe%20illness%20in%20hospitalized%20Covid-19%20patients%20at%20a%20regional%20hospital&rft.jtitle=PloS%20one&rft.au=Turcotte,%20Justin%20J&rft.date=2020-08-12&rft.volume=15&rft.issue=8&rft.spage=e0237558&rft.epage=e0237558&rft.pages=e0237558-e0237558&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0237558&rft_dat=%3Cgale_plos_%3EA632306578%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2433249556&rft_id=info:pmid/32785285&rft_galeid=A632306578&rft_doaj_id=oai_doaj_org_article_3a01069f5e6246b7952de77fb0f6ef99&rfr_iscdi=true |