A Retrospective Observational Study to Determine the Early Predictors of In-hospital Mortality at Admission with COVID-19
Coronavirus disease-2019 (COVID-19) systemic illness caused by a novel coronavirus severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) has been spreading across the world. The objective of this study is to identify the clinical and laboratory variables as predictors of in-hospital death at...
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| Veröffentlicht in: | Indian journal of critical care medicine 2020-12, Vol.24 (12), p.1174-1179 |
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| creator | Jain, Aakanksha Chawla Kansal, Sudha Sardana, Raman Bali, Roseleen K Kar, Sujoy Chawla, Rajesh |
| description | Coronavirus disease-2019 (COVID-19) systemic illness caused by a novel coronavirus severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) has been spreading across the world. The objective of this study is to identify the clinical and laboratory variables as predictors of in-hospital death at the time of admission in a tertiary care hospital in India.
Demographic profile, clinical, and laboratory variables of 425 patients admitted from April to June 2020 with symptoms and laboratory-confirmed diagnosis through real-time polymerase chain reaction (RT-PCR) were studied. Descriptive statistics, an association of these variables, logistic regression, and CART models were developed to identify early predictors of in-hospital death.
Twenty-two patients (5.17%) had expired in course of their hospital stay. The median age [interquartile range (IQR)] of the patients admitted was 49 years (21-77 years). Gender distribution was male - 73.38% (mortality rate 5.83%) and female-26.62% (mortality rate 3.34%). The study shows higher association for age (>47 years) [odds ratio (OR) 4.52], male gender (OR 1.78), shortness of breath (OR 2.02), oxygen saturation 24 (OR 5.31), comorbidities like diabetes (OR 2.70), hypertension (OR 2.12), and coronary artery disease (OR 3.18) toward overall mortality. The significant associations in laboratory variables include lymphopenia ( |
| doi_str_mv | 10.5005/jp-journals-10071-23683 |
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Demographic profile, clinical, and laboratory variables of 425 patients admitted from April to June 2020 with symptoms and laboratory-confirmed diagnosis through real-time polymerase chain reaction (RT-PCR) were studied. Descriptive statistics, an association of these variables, logistic regression, and CART models were developed to identify early predictors of in-hospital death.
Twenty-two patients (5.17%) had expired in course of their hospital stay. The median age [interquartile range (IQR)] of the patients admitted was 49 years (21-77 years). Gender distribution was male - 73.38% (mortality rate 5.83%) and female-26.62% (mortality rate 3.34%). The study shows higher association for age (>47 years) [odds ratio (OR) 4.52], male gender (OR 1.78), shortness of breath (OR 2.02), oxygen saturation <93% (OR 9.32), respiratory rate >24 (OR 5.31), comorbidities like diabetes (OR 2.70), hypertension (OR 2.12), and coronary artery disease (OR 3.18) toward overall mortality. The significant associations in laboratory variables include lymphopenia (<12%) (OR 8.74), C-reactive protein (CRP) (OR 1.99), ferritin (OR 3.18), and lactate dehydrogenase (LDH) (OR 3.37). Using this statistically significant 16 clinical and laboratory variables, the logistic regression model had an area under receiver operating characteristic (ROC) curve of 0.86 (train) and 0.75 (test).
Age above 47 years, associated with comorbidities like hypertension and diabetes, with oxygen saturation below 93%, tachycardia, and deranged laboratory variables like lymphopenia and raised CRP, LDH, and ferritin are important predictors of in-hospital mortality.
Jain AC, Kansal S, Sardana R, Bali RK, Kar S, Chawla R. A Retrospective Observational Study to Determine the Early Predictors of In-hospital Mortality at Admission with COVID-19. Indian J Crit Care Med 2020;24(12):1174-1179.</description><identifier>ISSN: 0972-5229</identifier><identifier>EISSN: 1998-359X</identifier><identifier>DOI: 10.5005/jp-journals-10071-23683</identifier><identifier>PMID: 33446968</identifier><language>eng</language><publisher>India: Jaypee Brothers Medical Publishers</publisher><subject>Original</subject><ispartof>Indian journal of critical care medicine, 2020-12, Vol.24 (12), p.1174-1179</ispartof><rights>Copyright © 2020; Jaypee Brothers Medical Publishers (P) Ltd.</rights><rights>Copyright © 2020; Jaypee Brothers Medical Publishers (P) Ltd. 2020</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c417t-f369e6750ca97987973b992ce4aa26f401f6287885cbf368d9789b44305964313</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7775949/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7775949/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33446968$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Jain, Aakanksha Chawla</creatorcontrib><creatorcontrib>Kansal, Sudha</creatorcontrib><creatorcontrib>Sardana, Raman</creatorcontrib><creatorcontrib>Bali, Roseleen K</creatorcontrib><creatorcontrib>Kar, Sujoy</creatorcontrib><creatorcontrib>Chawla, Rajesh</creatorcontrib><title>A Retrospective Observational Study to Determine the Early Predictors of In-hospital Mortality at Admission with COVID-19</title><title>Indian journal of critical care medicine</title><addtitle>Indian J Crit Care Med</addtitle><description>Coronavirus disease-2019 (COVID-19) systemic illness caused by a novel coronavirus severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) has been spreading across the world. The objective of this study is to identify the clinical and laboratory variables as predictors of in-hospital death at the time of admission in a tertiary care hospital in India.
Demographic profile, clinical, and laboratory variables of 425 patients admitted from April to June 2020 with symptoms and laboratory-confirmed diagnosis through real-time polymerase chain reaction (RT-PCR) were studied. Descriptive statistics, an association of these variables, logistic regression, and CART models were developed to identify early predictors of in-hospital death.
Twenty-two patients (5.17%) had expired in course of their hospital stay. The median age [interquartile range (IQR)] of the patients admitted was 49 years (21-77 years). Gender distribution was male - 73.38% (mortality rate 5.83%) and female-26.62% (mortality rate 3.34%). The study shows higher association for age (>47 years) [odds ratio (OR) 4.52], male gender (OR 1.78), shortness of breath (OR 2.02), oxygen saturation <93% (OR 9.32), respiratory rate >24 (OR 5.31), comorbidities like diabetes (OR 2.70), hypertension (OR 2.12), and coronary artery disease (OR 3.18) toward overall mortality. The significant associations in laboratory variables include lymphopenia (<12%) (OR 8.74), C-reactive protein (CRP) (OR 1.99), ferritin (OR 3.18), and lactate dehydrogenase (LDH) (OR 3.37). Using this statistically significant 16 clinical and laboratory variables, the logistic regression model had an area under receiver operating characteristic (ROC) curve of 0.86 (train) and 0.75 (test).
Age above 47 years, associated with comorbidities like hypertension and diabetes, with oxygen saturation below 93%, tachycardia, and deranged laboratory variables like lymphopenia and raised CRP, LDH, and ferritin are important predictors of in-hospital mortality.
Jain AC, Kansal S, Sardana R, Bali RK, Kar S, Chawla R. A Retrospective Observational Study to Determine the Early Predictors of In-hospital Mortality at Admission with COVID-19. Indian J Crit Care Med 2020;24(12):1174-1179.</description><subject>Original</subject><issn>0972-5229</issn><issn>1998-359X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNpVkU2P0zAQhi0EYsvCXwAfuRj8ldhzQaq6C1RaVMSXuFlO4lBXaRxspyj_Hu-n4DQHz_vMjB-EXjH6pqK0enuYyCHMcbRDIoxSxQgXtRaP0IoBaCIq-PkYrSgoTirO4Qw9S-lAKa-Bs6foTAgpa6j1Ci1r_MXlGNLk2uxPDu-a5OLJZh8KHH_Nc7fgHPCFyy4e_ehw3jt8aeOw4M_Rdb7NISYcerwdyb5gfC6xTyGW4vOCbcbr7uhTKjz8x-c93ux-bC8Ig-foSV_Wdy_u6jn6_v7y2-Yjudp92G7WV6SVTGXSixpcrSraWlCgFSjRAPDWSWt53UvK-pprpXXVNqVXd6A0NFIKWkEtBRPn6N0td5qbo-taN-ZoBzNFf7RxMcF68__L6PfmVzgZpVQFEgrg9R0ght-zS9mUe1o3DHZ0YU6GS6UrLbm6nqVuW9vyoym6_mEMo-ZanDlM5l6cuRFnbsSV5Mt_t3zI3ZsSfwFHMJlV</recordid><startdate>20201201</startdate><enddate>20201201</enddate><creator>Jain, Aakanksha Chawla</creator><creator>Kansal, Sudha</creator><creator>Sardana, Raman</creator><creator>Bali, Roseleen K</creator><creator>Kar, Sujoy</creator><creator>Chawla, Rajesh</creator><general>Jaypee Brothers Medical Publishers</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20201201</creationdate><title>A Retrospective Observational Study to Determine the Early Predictors of In-hospital Mortality at Admission with COVID-19</title><author>Jain, Aakanksha Chawla ; Kansal, Sudha ; Sardana, Raman ; Bali, Roseleen K ; Kar, Sujoy ; Chawla, Rajesh</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c417t-f369e6750ca97987973b992ce4aa26f401f6287885cbf368d9789b44305964313</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Original</topic><toplevel>online_resources</toplevel><creatorcontrib>Jain, Aakanksha Chawla</creatorcontrib><creatorcontrib>Kansal, Sudha</creatorcontrib><creatorcontrib>Sardana, Raman</creatorcontrib><creatorcontrib>Bali, Roseleen K</creatorcontrib><creatorcontrib>Kar, Sujoy</creatorcontrib><creatorcontrib>Chawla, Rajesh</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Indian journal of critical care medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Jain, Aakanksha Chawla</au><au>Kansal, Sudha</au><au>Sardana, Raman</au><au>Bali, Roseleen K</au><au>Kar, Sujoy</au><au>Chawla, Rajesh</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Retrospective Observational Study to Determine the Early Predictors of In-hospital Mortality at Admission with COVID-19</atitle><jtitle>Indian journal of critical care medicine</jtitle><addtitle>Indian J Crit Care Med</addtitle><date>2020-12-01</date><risdate>2020</risdate><volume>24</volume><issue>12</issue><spage>1174</spage><epage>1179</epage><pages>1174-1179</pages><issn>0972-5229</issn><eissn>1998-359X</eissn><abstract>Coronavirus disease-2019 (COVID-19) systemic illness caused by a novel coronavirus severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) has been spreading across the world. The objective of this study is to identify the clinical and laboratory variables as predictors of in-hospital death at the time of admission in a tertiary care hospital in India.
Demographic profile, clinical, and laboratory variables of 425 patients admitted from April to June 2020 with symptoms and laboratory-confirmed diagnosis through real-time polymerase chain reaction (RT-PCR) were studied. Descriptive statistics, an association of these variables, logistic regression, and CART models were developed to identify early predictors of in-hospital death.
Twenty-two patients (5.17%) had expired in course of their hospital stay. The median age [interquartile range (IQR)] of the patients admitted was 49 years (21-77 years). Gender distribution was male - 73.38% (mortality rate 5.83%) and female-26.62% (mortality rate 3.34%). The study shows higher association for age (>47 years) [odds ratio (OR) 4.52], male gender (OR 1.78), shortness of breath (OR 2.02), oxygen saturation <93% (OR 9.32), respiratory rate >24 (OR 5.31), comorbidities like diabetes (OR 2.70), hypertension (OR 2.12), and coronary artery disease (OR 3.18) toward overall mortality. The significant associations in laboratory variables include lymphopenia (<12%) (OR 8.74), C-reactive protein (CRP) (OR 1.99), ferritin (OR 3.18), and lactate dehydrogenase (LDH) (OR 3.37). Using this statistically significant 16 clinical and laboratory variables, the logistic regression model had an area under receiver operating characteristic (ROC) curve of 0.86 (train) and 0.75 (test).
Age above 47 years, associated with comorbidities like hypertension and diabetes, with oxygen saturation below 93%, tachycardia, and deranged laboratory variables like lymphopenia and raised CRP, LDH, and ferritin are important predictors of in-hospital mortality.
Jain AC, Kansal S, Sardana R, Bali RK, Kar S, Chawla R. A Retrospective Observational Study to Determine the Early Predictors of In-hospital Mortality at Admission with COVID-19. Indian J Crit Care Med 2020;24(12):1174-1179.</abstract><cop>India</cop><pub>Jaypee Brothers Medical Publishers</pub><pmid>33446968</pmid><doi>10.5005/jp-journals-10071-23683</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record> |
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| title | A Retrospective Observational Study to Determine the Early Predictors of In-hospital Mortality at Admission with COVID-19 |
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