Risk factors associated with intensive care unit (ICU) admission and in-hospital death among adults hospitalized with COVID-19: a two-center retrospective observational study in tertiary care hospitals
Background The COVID-19 pandemic is straining the health care systems worldwide. Therefore, health systems should make strategic shifts to ensure that limited resources provide the highest benefit for COVID-19 patients. Objective This study aimed to describe the risk factors associated with poor in-...
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| Veröffentlicht in: | Emergency radiology 2021-08, Vol.28 (4), p.691-697 |
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| creator | Shayganfar, Azin Sami, Ramin Sadeghi, Somayeh Dehghan, Mehrnegar Khademi, Nilufar Rikhtehgaran, Reyhaneh Basiratnia, Reza Ferdosi, Felora Hajiahmadi, Somayeh |
| description | Background
The COVID-19 pandemic is straining the health care systems worldwide. Therefore, health systems should make strategic shifts to ensure that limited resources provide the highest benefit for COVID-19 patients.
Objective
This study aimed to describe the risk factors associated with poor in-hospital outcomes to help clinicians make better patient care decisions.
Material and methods
This retrospective observational study enrolled 176 laboratory-confirmed COVID-19 patients. Demographic characteristics, clinical data, lymphocyte count, CT imaging findings on admission, and clinical outcomes were collected and compared. Two radiologists evaluated the distribution and CT features of the lesions and also scored the extent of lung involvement. The receiver operating characteristic (ROC) curve was used to determine the optimum cutoff point for possible effective variables on patients’ outcomes. Multivariable logistic regression models were used to determine the risk factors associated with ICU admission and in-hospital death.
Result
Thirty-eight (21.5%) patients were either died or admitted to ICU from a total of 176 enrolled ones. The mean age of the patients was 57.5 ± 16.1 years (males: 61%). The best cutoff point for predicting poor outcomes based on age, CT score, and O
2
saturation was 60 years (sensitivity: 71%, specificity: 62%), 10.5 (sensitivity: 73%, specificity: 58%), and 90.5% (sensitivity: 73%, specificity: 59%), respectively. CT score cutoff point was rounded to 11 since this score contains only integer numbers. Multivariable-adjusted regression models revealed that ages of ≥ 60 years, CT score of ≥ 11, and O
2
saturation of ≤ 90.5% were associated with higher worse outcomes among study population (odds ratio (OR): 3.62, 95%CI: 1.35–9.67,
P
= 0.019; OR: 4.38, 95%CI: 1.69–11.35,
P
= 0.002; and OR: 2.78, 95%CI: 1.03–7.47,
P
= 0.042, respectively).
Conclusion
The findings indicate that older age, higher CT score, and lower O
2
saturation could be categorized as predictors of poor outcome among COVID-19-infected patients. Other studies are required to prove these associations. |
| doi_str_mv | 10.1007/s10140-021-01903-8 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7856446</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2486154825</sourcerecordid><originalsourceid>FETCH-LOGICAL-c474t-c04a6ffdaf3cc55ce21ce637e74a82c6c2dff22260d744c2ca0b8aceeb376ffd3</originalsourceid><addsrcrecordid>eNp9kstuFDEQRVsIRELgB1ggS2zCwlB-9GNYIKHhNVKkSIiwtTzu6hmHnvbEdk8U_pC_oobOhMeCjW2pTt1bLt2ieCrgpQCoXyUBQgMHKTiIGSje3CuOhVYNp6O8T2-ogSsAfVQ8SukSAKpZ1TwsjpQqlQZRHxc_Pvv0jXXW5RATsykF523Gll37vGZ-yDgkv0PmbEQ2Dj6z08X84gWz7can5MPA7NASx9chbX22PWvRUqfdhGFF1NjnxA41__0gPD__unjHxew1syxfB-6QnCKLmCOx6PLeMywTxp3N5EK6KY_tDTkxArO38Waa6aCdHhcPOrrwye19Ulx8eP9l_omfnX9czN-ecadrnbkDbauua22nnCtLh1I4rFSNtbaNdJWTbddJKStoa62ddBaWjXWIS1Xv-9RJ8WbS3Y7LDbb7yaPtzTb6DQ1lgvXm78rg12YVdqZuykrrigRObwViuBoxZUOrdNj3dsAwJiN1U4lSN7Ik9Pk_6GUYI22DqLIUWgiYKaLkRDlaXorY3Q0jwOyTYqakGEqK-ZUU01DTsz-_cddyiAYBagISlYYVxt_e_5H9Cb6iz8A</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2551411093</pqid></control><display><type>article</type><title>Risk factors associated with intensive care unit (ICU) admission and in-hospital death among adults hospitalized with COVID-19: a two-center retrospective observational study in tertiary care hospitals</title><source>MEDLINE</source><source>SpringerLink Journals - AutoHoldings</source><creator>Shayganfar, Azin ; Sami, Ramin ; Sadeghi, Somayeh ; Dehghan, Mehrnegar ; Khademi, Nilufar ; Rikhtehgaran, Reyhaneh ; Basiratnia, Reza ; Ferdosi, Felora ; Hajiahmadi, Somayeh</creator><creatorcontrib>Shayganfar, Azin ; Sami, Ramin ; Sadeghi, Somayeh ; Dehghan, Mehrnegar ; Khademi, Nilufar ; Rikhtehgaran, Reyhaneh ; Basiratnia, Reza ; Ferdosi, Felora ; Hajiahmadi, Somayeh</creatorcontrib><description>Background
The COVID-19 pandemic is straining the health care systems worldwide. Therefore, health systems should make strategic shifts to ensure that limited resources provide the highest benefit for COVID-19 patients.
Objective
This study aimed to describe the risk factors associated with poor in-hospital outcomes to help clinicians make better patient care decisions.
Material and methods
This retrospective observational study enrolled 176 laboratory-confirmed COVID-19 patients. Demographic characteristics, clinical data, lymphocyte count, CT imaging findings on admission, and clinical outcomes were collected and compared. Two radiologists evaluated the distribution and CT features of the lesions and also scored the extent of lung involvement. The receiver operating characteristic (ROC) curve was used to determine the optimum cutoff point for possible effective variables on patients’ outcomes. Multivariable logistic regression models were used to determine the risk factors associated with ICU admission and in-hospital death.
Result
Thirty-eight (21.5%) patients were either died or admitted to ICU from a total of 176 enrolled ones. The mean age of the patients was 57.5 ± 16.1 years (males: 61%). The best cutoff point for predicting poor outcomes based on age, CT score, and O
2
saturation was 60 years (sensitivity: 71%, specificity: 62%), 10.5 (sensitivity: 73%, specificity: 58%), and 90.5% (sensitivity: 73%, specificity: 59%), respectively. CT score cutoff point was rounded to 11 since this score contains only integer numbers. Multivariable-adjusted regression models revealed that ages of ≥ 60 years, CT score of ≥ 11, and O
2
saturation of ≤ 90.5% were associated with higher worse outcomes among study population (odds ratio (OR): 3.62, 95%CI: 1.35–9.67,
P
= 0.019; OR: 4.38, 95%CI: 1.69–11.35,
P
= 0.002; and OR: 2.78, 95%CI: 1.03–7.47,
P
= 0.042, respectively).
Conclusion
The findings indicate that older age, higher CT score, and lower O
2
saturation could be categorized as predictors of poor outcome among COVID-19-infected patients. Other studies are required to prove these associations.</description><identifier>ISSN: 1070-3004</identifier><identifier>EISSN: 1438-1435</identifier><identifier>DOI: 10.1007/s10140-021-01903-8</identifier><identifier>PMID: 33534017</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Age ; Computed tomography ; Coronaviruses ; COVID-19 ; COVID-19 - mortality ; Emergency Medicine ; Female ; Hospital Mortality ; Humans ; Imaging ; Intensive Care Units - statistics & numerical data ; Iran - epidemiology ; Lymphocytes ; Male ; Medicine ; Medicine & Public Health ; Middle Aged ; Observational studies ; Original ; Original Article ; Pandemics ; Patients ; Pneumonia, Viral - mortality ; Predictive Value of Tests ; Radiology ; Regression models ; Retrospective Studies ; Risk analysis ; Risk Factors ; SARS-CoV-2 ; Saturation ; Sensitivity ; Tertiary Care Centers</subject><ispartof>Emergency radiology, 2021-08, Vol.28 (4), p.691-697</ispartof><rights>American Society of Emergency Radiology 2021. corrected publication 2021</rights><rights>2021. American Society of Emergency Radiology.</rights><rights>American Society of Emergency Radiology 2021. corrected publication 2021.</rights><rights>American Society of Emergency Radiology 2021, corrected publication 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c474t-c04a6ffdaf3cc55ce21ce637e74a82c6c2dff22260d744c2ca0b8aceeb376ffd3</citedby><cites>FETCH-LOGICAL-c474t-c04a6ffdaf3cc55ce21ce637e74a82c6c2dff22260d744c2ca0b8aceeb376ffd3</cites><orcidid>0000-0001-9367-268X ; 0000-0002-7521-4631 ; 0000-0002-8654-4548</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10140-021-01903-8$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10140-021-01903-8$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>230,314,780,784,885,27923,27924,41487,42556,51318</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33534017$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Shayganfar, Azin</creatorcontrib><creatorcontrib>Sami, Ramin</creatorcontrib><creatorcontrib>Sadeghi, Somayeh</creatorcontrib><creatorcontrib>Dehghan, Mehrnegar</creatorcontrib><creatorcontrib>Khademi, Nilufar</creatorcontrib><creatorcontrib>Rikhtehgaran, Reyhaneh</creatorcontrib><creatorcontrib>Basiratnia, Reza</creatorcontrib><creatorcontrib>Ferdosi, Felora</creatorcontrib><creatorcontrib>Hajiahmadi, Somayeh</creatorcontrib><title>Risk factors associated with intensive care unit (ICU) admission and in-hospital death among adults hospitalized with COVID-19: a two-center retrospective observational study in tertiary care hospitals</title><title>Emergency radiology</title><addtitle>Emerg Radiol</addtitle><addtitle>Emerg Radiol</addtitle><description>Background
The COVID-19 pandemic is straining the health care systems worldwide. Therefore, health systems should make strategic shifts to ensure that limited resources provide the highest benefit for COVID-19 patients.
Objective
This study aimed to describe the risk factors associated with poor in-hospital outcomes to help clinicians make better patient care decisions.
Material and methods
This retrospective observational study enrolled 176 laboratory-confirmed COVID-19 patients. Demographic characteristics, clinical data, lymphocyte count, CT imaging findings on admission, and clinical outcomes were collected and compared. Two radiologists evaluated the distribution and CT features of the lesions and also scored the extent of lung involvement. The receiver operating characteristic (ROC) curve was used to determine the optimum cutoff point for possible effective variables on patients’ outcomes. Multivariable logistic regression models were used to determine the risk factors associated with ICU admission and in-hospital death.
Result
Thirty-eight (21.5%) patients were either died or admitted to ICU from a total of 176 enrolled ones. The mean age of the patients was 57.5 ± 16.1 years (males: 61%). The best cutoff point for predicting poor outcomes based on age, CT score, and O
2
saturation was 60 years (sensitivity: 71%, specificity: 62%), 10.5 (sensitivity: 73%, specificity: 58%), and 90.5% (sensitivity: 73%, specificity: 59%), respectively. CT score cutoff point was rounded to 11 since this score contains only integer numbers. Multivariable-adjusted regression models revealed that ages of ≥ 60 years, CT score of ≥ 11, and O
2
saturation of ≤ 90.5% were associated with higher worse outcomes among study population (odds ratio (OR): 3.62, 95%CI: 1.35–9.67,
P
= 0.019; OR: 4.38, 95%CI: 1.69–11.35,
P
= 0.002; and OR: 2.78, 95%CI: 1.03–7.47,
P
= 0.042, respectively).
Conclusion
The findings indicate that older age, higher CT score, and lower O
2
saturation could be categorized as predictors of poor outcome among COVID-19-infected patients. Other studies are required to prove these associations.</description><subject>Age</subject><subject>Computed tomography</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>COVID-19 - mortality</subject><subject>Emergency Medicine</subject><subject>Female</subject><subject>Hospital Mortality</subject><subject>Humans</subject><subject>Imaging</subject><subject>Intensive Care Units - statistics & numerical data</subject><subject>Iran - epidemiology</subject><subject>Lymphocytes</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Middle Aged</subject><subject>Observational studies</subject><subject>Original</subject><subject>Original Article</subject><subject>Pandemics</subject><subject>Patients</subject><subject>Pneumonia, Viral - mortality</subject><subject>Predictive Value of Tests</subject><subject>Radiology</subject><subject>Regression models</subject><subject>Retrospective Studies</subject><subject>Risk analysis</subject><subject>Risk Factors</subject><subject>SARS-CoV-2</subject><subject>Saturation</subject><subject>Sensitivity</subject><subject>Tertiary Care Centers</subject><issn>1070-3004</issn><issn>1438-1435</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNp9kstuFDEQRVsIRELgB1ggS2zCwlB-9GNYIKHhNVKkSIiwtTzu6hmHnvbEdk8U_pC_oobOhMeCjW2pTt1bLt2ieCrgpQCoXyUBQgMHKTiIGSje3CuOhVYNp6O8T2-ogSsAfVQ8SukSAKpZ1TwsjpQqlQZRHxc_Pvv0jXXW5RATsykF523Gll37vGZ-yDgkv0PmbEQ2Dj6z08X84gWz7can5MPA7NASx9chbX22PWvRUqfdhGFF1NjnxA41__0gPD__unjHxew1syxfB-6QnCKLmCOx6PLeMywTxp3N5EK6KY_tDTkxArO38Waa6aCdHhcPOrrwye19Ulx8eP9l_omfnX9czN-ecadrnbkDbauua22nnCtLh1I4rFSNtbaNdJWTbddJKStoa62ddBaWjXWIS1Xv-9RJ8WbS3Y7LDbb7yaPtzTb6DQ1lgvXm78rg12YVdqZuykrrigRObwViuBoxZUOrdNj3dsAwJiN1U4lSN7Ik9Pk_6GUYI22DqLIUWgiYKaLkRDlaXorY3Q0jwOyTYqakGEqK-ZUU01DTsz-_cddyiAYBagISlYYVxt_e_5H9Cb6iz8A</recordid><startdate>20210801</startdate><enddate>20210801</enddate><creator>Shayganfar, Azin</creator><creator>Sami, Ramin</creator><creator>Sadeghi, Somayeh</creator><creator>Dehghan, Mehrnegar</creator><creator>Khademi, Nilufar</creator><creator>Rikhtehgaran, Reyhaneh</creator><creator>Basiratnia, Reza</creator><creator>Ferdosi, Felora</creator><creator>Hajiahmadi, Somayeh</creator><general>Springer International Publishing</general><general>Springer Nature B.V</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>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FE</scope><scope>8FG</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M1P</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-9367-268X</orcidid><orcidid>https://orcid.org/0000-0002-7521-4631</orcidid><orcidid>https://orcid.org/0000-0002-8654-4548</orcidid></search><sort><creationdate>20210801</creationdate><title>Risk factors associated with intensive care unit (ICU) admission and in-hospital death among adults hospitalized with COVID-19: a two-center retrospective observational study in tertiary care hospitals</title><author>Shayganfar, Azin ; Sami, Ramin ; Sadeghi, Somayeh ; Dehghan, Mehrnegar ; Khademi, Nilufar ; Rikhtehgaran, Reyhaneh ; Basiratnia, Reza ; Ferdosi, Felora ; Hajiahmadi, Somayeh</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c474t-c04a6ffdaf3cc55ce21ce637e74a82c6c2dff22260d744c2ca0b8aceeb376ffd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Age</topic><topic>Computed tomography</topic><topic>Coronaviruses</topic><topic>COVID-19</topic><topic>COVID-19 - mortality</topic><topic>Emergency Medicine</topic><topic>Female</topic><topic>Hospital Mortality</topic><topic>Humans</topic><topic>Imaging</topic><topic>Intensive Care Units - statistics & numerical data</topic><topic>Iran - epidemiology</topic><topic>Lymphocytes</topic><topic>Male</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Middle Aged</topic><topic>Observational studies</topic><topic>Original</topic><topic>Original Article</topic><topic>Pandemics</topic><topic>Patients</topic><topic>Pneumonia, Viral - mortality</topic><topic>Predictive Value of Tests</topic><topic>Radiology</topic><topic>Regression models</topic><topic>Retrospective Studies</topic><topic>Risk analysis</topic><topic>Risk Factors</topic><topic>SARS-CoV-2</topic><topic>Saturation</topic><topic>Sensitivity</topic><topic>Tertiary Care Centers</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Shayganfar, Azin</creatorcontrib><creatorcontrib>Sami, Ramin</creatorcontrib><creatorcontrib>Sadeghi, Somayeh</creatorcontrib><creatorcontrib>Dehghan, Mehrnegar</creatorcontrib><creatorcontrib>Khademi, Nilufar</creatorcontrib><creatorcontrib>Rikhtehgaran, Reyhaneh</creatorcontrib><creatorcontrib>Basiratnia, Reza</creatorcontrib><creatorcontrib>Ferdosi, Felora</creatorcontrib><creatorcontrib>Hajiahmadi, Somayeh</creatorcontrib><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 & Allied Health Database</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</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>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection (ProQuest)</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</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>Emergency radiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Shayganfar, Azin</au><au>Sami, Ramin</au><au>Sadeghi, Somayeh</au><au>Dehghan, Mehrnegar</au><au>Khademi, Nilufar</au><au>Rikhtehgaran, Reyhaneh</au><au>Basiratnia, Reza</au><au>Ferdosi, Felora</au><au>Hajiahmadi, Somayeh</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Risk factors associated with intensive care unit (ICU) admission and in-hospital death among adults hospitalized with COVID-19: a two-center retrospective observational study in tertiary care hospitals</atitle><jtitle>Emergency radiology</jtitle><stitle>Emerg Radiol</stitle><addtitle>Emerg Radiol</addtitle><date>2021-08-01</date><risdate>2021</risdate><volume>28</volume><issue>4</issue><spage>691</spage><epage>697</epage><pages>691-697</pages><issn>1070-3004</issn><eissn>1438-1435</eissn><abstract>Background
The COVID-19 pandemic is straining the health care systems worldwide. Therefore, health systems should make strategic shifts to ensure that limited resources provide the highest benefit for COVID-19 patients.
Objective
This study aimed to describe the risk factors associated with poor in-hospital outcomes to help clinicians make better patient care decisions.
Material and methods
This retrospective observational study enrolled 176 laboratory-confirmed COVID-19 patients. Demographic characteristics, clinical data, lymphocyte count, CT imaging findings on admission, and clinical outcomes were collected and compared. Two radiologists evaluated the distribution and CT features of the lesions and also scored the extent of lung involvement. The receiver operating characteristic (ROC) curve was used to determine the optimum cutoff point for possible effective variables on patients’ outcomes. Multivariable logistic regression models were used to determine the risk factors associated with ICU admission and in-hospital death.
Result
Thirty-eight (21.5%) patients were either died or admitted to ICU from a total of 176 enrolled ones. The mean age of the patients was 57.5 ± 16.1 years (males: 61%). The best cutoff point for predicting poor outcomes based on age, CT score, and O
2
saturation was 60 years (sensitivity: 71%, specificity: 62%), 10.5 (sensitivity: 73%, specificity: 58%), and 90.5% (sensitivity: 73%, specificity: 59%), respectively. CT score cutoff point was rounded to 11 since this score contains only integer numbers. Multivariable-adjusted regression models revealed that ages of ≥ 60 years, CT score of ≥ 11, and O
2
saturation of ≤ 90.5% were associated with higher worse outcomes among study population (odds ratio (OR): 3.62, 95%CI: 1.35–9.67,
P
= 0.019; OR: 4.38, 95%CI: 1.69–11.35,
P
= 0.002; and OR: 2.78, 95%CI: 1.03–7.47,
P
= 0.042, respectively).
Conclusion
The findings indicate that older age, higher CT score, and lower O
2
saturation could be categorized as predictors of poor outcome among COVID-19-infected patients. Other studies are required to prove these associations.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><pmid>33534017</pmid><doi>10.1007/s10140-021-01903-8</doi><tpages>7</tpages><orcidid>https://orcid.org/0000-0001-9367-268X</orcidid><orcidid>https://orcid.org/0000-0002-7521-4631</orcidid><orcidid>https://orcid.org/0000-0002-8654-4548</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1070-3004 |
| ispartof | Emergency radiology, 2021-08, Vol.28 (4), p.691-697 |
| issn | 1070-3004 1438-1435 |
| language | eng |
| recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7856446 |
| source | MEDLINE; SpringerLink Journals - AutoHoldings |
| subjects | Age Computed tomography Coronaviruses COVID-19 COVID-19 - mortality Emergency Medicine Female Hospital Mortality Humans Imaging Intensive Care Units - statistics & numerical data Iran - epidemiology Lymphocytes Male Medicine Medicine & Public Health Middle Aged Observational studies Original Original Article Pandemics Patients Pneumonia, Viral - mortality Predictive Value of Tests Radiology Regression models Retrospective Studies Risk analysis Risk Factors SARS-CoV-2 Saturation Sensitivity Tertiary Care Centers |
| title | Risk factors associated with intensive care unit (ICU) admission and in-hospital death among adults hospitalized with COVID-19: a two-center retrospective observational study in tertiary care hospitals |
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