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Clinical outcomes and inflammatory marker levels in patients with Covid-19 and obesity at an inner-city safety net hospital
Patients with Covid-19 and obesity have worse clinical outcomes which may be driven by increased inflammation. This study aimed to characterize the association between clinical outcomes in patients with obesity and inflammatory markers. We analyzed data for patients aged ≥18 years admitted with a po...
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Published in: | PloS one 2020-12, Vol.15 (12), p.e0243888-e0243888 |
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description | Patients with Covid-19 and obesity have worse clinical outcomes which may be driven by increased inflammation. This study aimed to characterize the association between clinical outcomes in patients with obesity and inflammatory markers.
We analyzed data for patients aged ≥18 years admitted with a positive SARS-CoV-2 PCR test. We used multivariate logistic regression to determine the association between BMI and intensive care unit (ICU) transfer and all-cause mortality. Inflammatory markers (C-reactive protein [CRP], lactate dehydrogenase [LDH], ferritin, and D-dimer) were compared between patients with and without obesity (body mass index [BMI] ≥30 kg/m2).
Of 791 patients with Covid-19, 361 (45.6%) had obesity. In multivariate analyses, BMI ≥35 was associated with a higher odds of ICU transfer (adjusted odds ratio [aOR] 2.388 (95% confidence interval [CI]: 1.074-5.310) and hospital mortality (aOR = 4.3, 95% CI: 1.69-10.82). Compared to those with BMI |
doi_str_mv | 10.1371/journal.pone.0243888 |
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We analyzed data for patients aged ≥18 years admitted with a positive SARS-CoV-2 PCR test. We used multivariate logistic regression to determine the association between BMI and intensive care unit (ICU) transfer and all-cause mortality. Inflammatory markers (C-reactive protein [CRP], lactate dehydrogenase [LDH], ferritin, and D-dimer) were compared between patients with and without obesity (body mass index [BMI] ≥30 kg/m2).
Of 791 patients with Covid-19, 361 (45.6%) had obesity. In multivariate analyses, BMI ≥35 was associated with a higher odds of ICU transfer (adjusted odds ratio [aOR] 2.388 (95% confidence interval [CI]: 1.074-5.310) and hospital mortality (aOR = 4.3, 95% CI: 1.69-10.82). Compared to those with BMI<30, patients with obesity had lower ferritin (444 vs 637 ng/mL; p<0.001) and lower D-dimer (293 vs 350 mcg/mL; p = 0.009), non-significant differences in CRP (72.8 vs 84.1 mg/L, p = 0.099), and higher LDH (375 vs 340, p = 0.009) on the first hospital day.
Patients with obesity were more likely to have poor outcomes even without increased inflammation.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0243888</identifier><identifier>PMID: 33326480</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adult ; Aged ; Biological markers ; Biology and Life Sciences ; Biomarkers - analysis ; Biomarkers - metabolism ; Body mass ; Body Mass Index ; Body size ; C-reactive protein ; Cardiovascular disease ; Clinical outcomes ; Confidence intervals ; Coronaviruses ; COVID-19 ; COVID-19 - complications ; COVID-19 - mortality ; COVID-19 - pathology ; COVID-19 - virology ; Cytokines ; Demographics ; Diabetes ; Dimers ; Female ; Ferritin ; Health aspects ; Health risks ; Hospital Mortality ; Hospitalization ; Hospitals ; Humans ; Hypertension ; Infectious diseases ; Inflammation ; Intensive Care Units ; Internal medicine ; L-Lactate dehydrogenase ; Lactate dehydrogenase ; Lactic acid ; Logistic Models ; Lungs ; Male ; Markers ; Medicine ; Medicine and Health Sciences ; Middle Aged ; Mortality ; Multivariate analysis ; Obesity ; Obesity - complications ; Odds Ratio ; Overweight ; Patient outcomes ; Patients ; Regression analysis ; Retrospective Studies ; Risk Factors ; Safety-net Providers ; SARS-CoV-2 - isolation & purification ; Severe acute respiratory syndrome coronavirus 2 ; Statistical analysis ; Treatment Outcome ; Ventilators ; Weight control</subject><ispartof>PloS one, 2020-12, Vol.15 (12), p.e0243888-e0243888</ispartof><rights>COPYRIGHT 2020 Public Library of Science</rights><rights>2020 Mostaghim 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 Mostaghim et al 2020 Mostaghim et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-5ba05fa2bf00e02812d12f5dad052bad7699c1f7ce49e1a8f9e5223bd1f87c8f3</citedby><cites>FETCH-LOGICAL-c692t-5ba05fa2bf00e02812d12f5dad052bad7699c1f7ce49e1a8f9e5223bd1f87c8f3</cites><orcidid>0000-0002-5790-9288 ; 0000-0002-5449-9973 ; 0000-0003-1871-3909 ; 0000-0002-0588-8235</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2470607674/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2470607674?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33326480$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Zivkovic, Aleksandar R.</contributor><creatorcontrib>Mostaghim, Anahita</creatorcontrib><creatorcontrib>Sinha, Pranay</creatorcontrib><creatorcontrib>Bielick, Catherine</creatorcontrib><creatorcontrib>Knudsen, Selby</creatorcontrib><creatorcontrib>Beeram, Indeevar</creatorcontrib><creatorcontrib>White, Laura F</creatorcontrib><creatorcontrib>Apovian, Caroline</creatorcontrib><creatorcontrib>Sagar, Manish</creatorcontrib><creatorcontrib>Hochberg, Natasha S</creatorcontrib><title>Clinical outcomes and inflammatory marker levels in patients with Covid-19 and obesity at an inner-city safety net hospital</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Patients with Covid-19 and obesity have worse clinical outcomes which may be driven by increased inflammation. This study aimed to characterize the association between clinical outcomes in patients with obesity and inflammatory markers.
We analyzed data for patients aged ≥18 years admitted with a positive SARS-CoV-2 PCR test. We used multivariate logistic regression to determine the association between BMI and intensive care unit (ICU) transfer and all-cause mortality. Inflammatory markers (C-reactive protein [CRP], lactate dehydrogenase [LDH], ferritin, and D-dimer) were compared between patients with and without obesity (body mass index [BMI] ≥30 kg/m2).
Of 791 patients with Covid-19, 361 (45.6%) had obesity. In multivariate analyses, BMI ≥35 was associated with a higher odds of ICU transfer (adjusted odds ratio [aOR] 2.388 (95% confidence interval [CI]: 1.074-5.310) and hospital mortality (aOR = 4.3, 95% CI: 1.69-10.82). Compared to those with BMI<30, patients with obesity had lower ferritin (444 vs 637 ng/mL; p<0.001) and lower D-dimer (293 vs 350 mcg/mL; p = 0.009), non-significant differences in CRP (72.8 vs 84.1 mg/L, p = 0.099), and higher LDH (375 vs 340, p = 0.009) on the first hospital day.
Patients with obesity were more likely to have poor outcomes even without increased inflammation.</description><subject>Adult</subject><subject>Aged</subject><subject>Biological markers</subject><subject>Biology and Life Sciences</subject><subject>Biomarkers - analysis</subject><subject>Biomarkers - metabolism</subject><subject>Body mass</subject><subject>Body Mass Index</subject><subject>Body size</subject><subject>C-reactive protein</subject><subject>Cardiovascular disease</subject><subject>Clinical outcomes</subject><subject>Confidence intervals</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>COVID-19 - complications</subject><subject>COVID-19 - mortality</subject><subject>COVID-19 - pathology</subject><subject>COVID-19 - virology</subject><subject>Cytokines</subject><subject>Demographics</subject><subject>Diabetes</subject><subject>Dimers</subject><subject>Female</subject><subject>Ferritin</subject><subject>Health aspects</subject><subject>Health risks</subject><subject>Hospital Mortality</subject><subject>Hospitalization</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Hypertension</subject><subject>Infectious diseases</subject><subject>Inflammation</subject><subject>Intensive Care Units</subject><subject>Internal medicine</subject><subject>L-Lactate dehydrogenase</subject><subject>Lactate dehydrogenase</subject><subject>Lactic acid</subject><subject>Logistic Models</subject><subject>Lungs</subject><subject>Male</subject><subject>Markers</subject><subject>Medicine</subject><subject>Medicine and Health Sciences</subject><subject>Middle Aged</subject><subject>Mortality</subject><subject>Multivariate analysis</subject><subject>Obesity</subject><subject>Obesity - complications</subject><subject>Odds Ratio</subject><subject>Overweight</subject><subject>Patient outcomes</subject><subject>Patients</subject><subject>Regression analysis</subject><subject>Retrospective Studies</subject><subject>Risk Factors</subject><subject>Safety-net Providers</subject><subject>SARS-CoV-2 - isolation & purification</subject><subject>Severe acute respiratory syndrome coronavirus 2</subject><subject>Statistical analysis</subject><subject>Treatment Outcome</subject><subject>Ventilators</subject><subject>Weight control</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNqNk0uP0zAQxyMEYpfCN0AQCQnBIcWPPJwL0qriUWmllXhdLccZty5O3LWdQsWXx9l2Vw3aA8rB8fg3__HMeJLkOUZzTCv8bmMH1wsz39oe5ojklDH2IDnHNSVZSRB9ePJ_ljzxfoNQQVlZPk7OKKWkzBk6T_4sjO61FCa1Q5C2A5-Kvk11r4zoOhGs26edcD_BpQZ2YHw8SrciaOiDT3_psE4XdqfbDNc3jrYBr8M-FSFuI9uDy-Ro8EJBXHoI6dr6rQ7CPE0eKWE8PDuus-T7xw_fFp-zy6tPy8XFZSbLmoSsaAQqlCCNQggQYZi0mKiiFS0qSCPaqqxriVUlIa8BC6ZqKAihTYsVqyRTdJa8POhujfX8WDfPSV6hElVllUdieSBaKzZ863RMec-t0PzGYN2KCxe0NMAJxqyVrGK0ZjklrEE0VjnekNRAKJZR6_0x2tB00MpYKCfMRHR60us1X9kdr6o8R3kRBd4cBZy9HsAH3mkvwRjRgx0O92Y1G7s5S179g96f3ZFaiZhAbK2NceUoyi_KGJDR8fnMkvk9VPxa6LSMj0zpaJ84vJ04RCbA77ASg_d8-fXL_7NXP6bs6xN2DcKEtbdmCNr2fgrmB1A6670DdVdkjPg4I7fV4OOM8OOMRLcXpw26c7odCvoXGl0MSw</recordid><startdate>20201216</startdate><enddate>20201216</enddate><creator>Mostaghim, Anahita</creator><creator>Sinha, Pranay</creator><creator>Bielick, Catherine</creator><creator>Knudsen, Selby</creator><creator>Beeram, Indeevar</creator><creator>White, Laura F</creator><creator>Apovian, Caroline</creator><creator>Sagar, Manish</creator><creator>Hochberg, Natasha S</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>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/0000-0002-5790-9288</orcidid><orcidid>https://orcid.org/0000-0002-5449-9973</orcidid><orcidid>https://orcid.org/0000-0003-1871-3909</orcidid><orcidid>https://orcid.org/0000-0002-0588-8235</orcidid></search><sort><creationdate>20201216</creationdate><title>Clinical outcomes and inflammatory marker levels in patients with Covid-19 and obesity at an inner-city safety net hospital</title><author>Mostaghim, Anahita ; Sinha, Pranay ; Bielick, Catherine ; Knudsen, Selby ; Beeram, Indeevar ; White, Laura F ; Apovian, Caroline ; Sagar, Manish ; Hochberg, Natasha S</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-5ba05fa2bf00e02812d12f5dad052bad7699c1f7ce49e1a8f9e5223bd1f87c8f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Biological markers</topic><topic>Biology and Life Sciences</topic><topic>Biomarkers - 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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>Mostaghim, Anahita</au><au>Sinha, Pranay</au><au>Bielick, Catherine</au><au>Knudsen, Selby</au><au>Beeram, Indeevar</au><au>White, Laura F</au><au>Apovian, Caroline</au><au>Sagar, Manish</au><au>Hochberg, Natasha S</au><au>Zivkovic, Aleksandar R.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Clinical outcomes and inflammatory marker levels in patients with Covid-19 and obesity at an inner-city safety net hospital</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2020-12-16</date><risdate>2020</risdate><volume>15</volume><issue>12</issue><spage>e0243888</spage><epage>e0243888</epage><pages>e0243888-e0243888</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Patients with Covid-19 and obesity have worse clinical outcomes which may be driven by increased inflammation. This study aimed to characterize the association between clinical outcomes in patients with obesity and inflammatory markers.
We analyzed data for patients aged ≥18 years admitted with a positive SARS-CoV-2 PCR test. We used multivariate logistic regression to determine the association between BMI and intensive care unit (ICU) transfer and all-cause mortality. Inflammatory markers (C-reactive protein [CRP], lactate dehydrogenase [LDH], ferritin, and D-dimer) were compared between patients with and without obesity (body mass index [BMI] ≥30 kg/m2).
Of 791 patients with Covid-19, 361 (45.6%) had obesity. In multivariate analyses, BMI ≥35 was associated with a higher odds of ICU transfer (adjusted odds ratio [aOR] 2.388 (95% confidence interval [CI]: 1.074-5.310) and hospital mortality (aOR = 4.3, 95% CI: 1.69-10.82). Compared to those with BMI<30, patients with obesity had lower ferritin (444 vs 637 ng/mL; p<0.001) and lower D-dimer (293 vs 350 mcg/mL; p = 0.009), non-significant differences in CRP (72.8 vs 84.1 mg/L, p = 0.099), and higher LDH (375 vs 340, p = 0.009) on the first hospital day.
Patients with obesity were more likely to have poor outcomes even without increased inflammation.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>33326480</pmid><doi>10.1371/journal.pone.0243888</doi><tpages>e0243888</tpages><orcidid>https://orcid.org/0000-0002-5790-9288</orcidid><orcidid>https://orcid.org/0000-0002-5449-9973</orcidid><orcidid>https://orcid.org/0000-0003-1871-3909</orcidid><orcidid>https://orcid.org/0000-0002-0588-8235</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1932-6203 |
ispartof | PloS one, 2020-12, Vol.15 (12), p.e0243888-e0243888 |
issn | 1932-6203 1932-6203 |
language | eng |
recordid | cdi_plos_journals_2470607674 |
source | Publicly Available Content (ProQuest); PubMed Central |
subjects | Adult Aged Biological markers Biology and Life Sciences Biomarkers - analysis Biomarkers - metabolism Body mass Body Mass Index Body size C-reactive protein Cardiovascular disease Clinical outcomes Confidence intervals Coronaviruses COVID-19 COVID-19 - complications COVID-19 - mortality COVID-19 - pathology COVID-19 - virology Cytokines Demographics Diabetes Dimers Female Ferritin Health aspects Health risks Hospital Mortality Hospitalization Hospitals Humans Hypertension Infectious diseases Inflammation Intensive Care Units Internal medicine L-Lactate dehydrogenase Lactate dehydrogenase Lactic acid Logistic Models Lungs Male Markers Medicine Medicine and Health Sciences Middle Aged Mortality Multivariate analysis Obesity Obesity - complications Odds Ratio Overweight Patient outcomes Patients Regression analysis Retrospective Studies Risk Factors Safety-net Providers SARS-CoV-2 - isolation & purification Severe acute respiratory syndrome coronavirus 2 Statistical analysis Treatment Outcome Ventilators Weight control |
title | Clinical outcomes and inflammatory marker levels in patients with Covid-19 and obesity at an inner-city safety net hospital |
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