Assessing the need for transfer to the intensive care unit for Coronavirus-19 disease: Epidemiology and risk factors
Although many patients with coronavirus disease 2019 (Covid-19) require direct admission to the intensive care unit (ICU), some are sent after admission. Clinicians require an understanding of this phenomenon and various risk stratification approaches for recognizing these subjects. We examined all...
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description | Although many patients with coronavirus disease 2019 (Covid-19) require direct admission to the intensive care unit (ICU), some are sent after admission. Clinicians require an understanding of this phenomenon and various risk stratification approaches for recognizing these subjects.
We examined all Covid-19 patients sent initially to a ward who subsequently required care in the ICU. We examined the timing transfer and attempted to develop a risk score based on baseline variables to predict progressive disease. We evaluated the utility of the CURB-65 score at identifying the need for ICU transfer.
The cohort included 245 subjects (mean age 59.0 ± 14.2 years, 61.2% male) and 20% were eventually sent to the ICU. The median time to transfer was 2.5 days. Approximately 1/3rd of patients were not moved until day 4 or later and the main reason for transfer (79.2%) was worsening respiratory failure. A baseline absolute lymphocyte count (ALC) of ≤0.8 103/ml and a serum ferritin ≥1000 ng/ml were independently associated with ICU transfer. Co-morbid illnesses did not correlate with eventual ICU care. Neither a risk score based on a low ALC and/or high ferritin nor the CURB-65 score performed well at predicting need for transfer.
Covid-19 patients admitted to general wards face a significant risk for deterioration necessitating ICU admission and respiratory failure can occur late in this disease. Neither baseline clinical factors nor the CURB-65 score perform well as screening tests to categorize these subjects as likely to progress to ICU care.
•Nearly 20% of Coronavirs-19 disease patients on general wards eventually require intensive care unit admission.•The lymphocyte count & ferritin are associated transfer.•Neither factor nor CURB-65 correlates with subsequent ICU care. |
doi_str_mv | 10.1016/j.rmed.2020.106203 |
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We examined all Covid-19 patients sent initially to a ward who subsequently required care in the ICU. We examined the timing transfer and attempted to develop a risk score based on baseline variables to predict progressive disease. We evaluated the utility of the CURB-65 score at identifying the need for ICU transfer.
The cohort included 245 subjects (mean age 59.0 ± 14.2 years, 61.2% male) and 20% were eventually sent to the ICU. The median time to transfer was 2.5 days. Approximately 1/3rd of patients were not moved until day 4 or later and the main reason for transfer (79.2%) was worsening respiratory failure. A baseline absolute lymphocyte count (ALC) of ≤0.8 103/ml and a serum ferritin ≥1000 ng/ml were independently associated with ICU transfer. Co-morbid illnesses did not correlate with eventual ICU care. Neither a risk score based on a low ALC and/or high ferritin nor the CURB-65 score performed well at predicting need for transfer.
Covid-19 patients admitted to general wards face a significant risk for deterioration necessitating ICU admission and respiratory failure can occur late in this disease. Neither baseline clinical factors nor the CURB-65 score perform well as screening tests to categorize these subjects as likely to progress to ICU care.
•Nearly 20% of Coronavirs-19 disease patients on general wards eventually require intensive care unit admission.•The lymphocyte count & ferritin are associated transfer.•Neither factor nor CURB-65 correlates with subsequent ICU care.</description><identifier>ISSN: 0954-6111</identifier><identifier>EISSN: 1532-3064</identifier><identifier>DOI: 10.1016/j.rmed.2020.106203</identifier><identifier>PMID: 33147562</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>Cardiovascular disease ; Cell number ; Chronic obstructive pulmonary disease ; Comorbidity ; Coronaviruses ; COVID-19 ; COVID-19 - complications ; COVID-19 - epidemiology ; COVID-19 - virology ; Demographics ; Epidemiology ; Female ; Ferritin ; Ferritins - blood ; Health risks ; Heart failure ; Hospitalization ; Hospitals ; Humans ; Intensive care ; Intensive care unit ; Intensive Care Units - statistics & numerical data ; Laboratories ; Lymphocyte Count - methods ; Lymphocytes ; Male ; Middle Aged ; Pandemics ; Pandemics - statistics & numerical data ; Patient Transfer - organization & administration ; Patients ; Pneumonia ; Public health ; Research Design - standards ; Research Design - statistics & numerical data ; Respiratory failure ; Respiratory Insufficiency - epidemiology ; Respiratory Insufficiency - etiology ; Retrospective Studies ; Risk ; Risk analysis ; Risk Assessment ; Risk Factors ; SARS-CoV-2 - genetics ; Score ; Severe acute respiratory syndrome coronavirus 2 ; Time Factors ; Transfer ; Ventilators</subject><ispartof>Respiratory medicine, 2020-11, Vol.174, p.106203-106203, Article 106203</ispartof><rights>2020 Elsevier Ltd</rights><rights>Copyright © 2020 Elsevier Ltd. All rights reserved.</rights><rights>2020. Elsevier Ltd</rights><rights>2020 Elsevier Ltd. All rights reserved. 2020 Elsevier Ltd</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c483t-f7d1cb15f62904ac65bd24dc8db5865cdad565690f77b0d534cf2368646040693</citedby><cites>FETCH-LOGICAL-c483t-f7d1cb15f62904ac65bd24dc8db5865cdad565690f77b0d534cf2368646040693</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.rmed.2020.106203$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>230,314,780,784,885,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33147562$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Hashmi, Muhammad Daniyal</creatorcontrib><creatorcontrib>Alnababteh, Muhtadi</creatorcontrib><creatorcontrib>Vedantam, Karthik</creatorcontrib><creatorcontrib>Alunikummannil, Jojo</creatorcontrib><creatorcontrib>Oweis, Emil S.</creatorcontrib><creatorcontrib>Shorr, Andrew F.</creatorcontrib><title>Assessing the need for transfer to the intensive care unit for Coronavirus-19 disease: Epidemiology and risk factors</title><title>Respiratory medicine</title><addtitle>Respir Med</addtitle><description>Although many patients with coronavirus disease 2019 (Covid-19) require direct admission to the intensive care unit (ICU), some are sent after admission. Clinicians require an understanding of this phenomenon and various risk stratification approaches for recognizing these subjects.
We examined all Covid-19 patients sent initially to a ward who subsequently required care in the ICU. We examined the timing transfer and attempted to develop a risk score based on baseline variables to predict progressive disease. We evaluated the utility of the CURB-65 score at identifying the need for ICU transfer.
The cohort included 245 subjects (mean age 59.0 ± 14.2 years, 61.2% male) and 20% were eventually sent to the ICU. The median time to transfer was 2.5 days. Approximately 1/3rd of patients were not moved until day 4 or later and the main reason for transfer (79.2%) was worsening respiratory failure. A baseline absolute lymphocyte count (ALC) of ≤0.8 103/ml and a serum ferritin ≥1000 ng/ml were independently associated with ICU transfer. Co-morbid illnesses did not correlate with eventual ICU care. Neither a risk score based on a low ALC and/or high ferritin nor the CURB-65 score performed well at predicting need for transfer.
Covid-19 patients admitted to general wards face a significant risk for deterioration necessitating ICU admission and respiratory failure can occur late in this disease. Neither baseline clinical factors nor the CURB-65 score perform well as screening tests to categorize these subjects as likely to progress to ICU care.
•Nearly 20% of Coronavirs-19 disease patients on general wards eventually require intensive care unit admission.•The lymphocyte count & ferritin are associated transfer.•Neither factor nor CURB-65 correlates with subsequent ICU care.</description><subject>Cardiovascular disease</subject><subject>Cell number</subject><subject>Chronic obstructive pulmonary disease</subject><subject>Comorbidity</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>COVID-19 - complications</subject><subject>COVID-19 - epidemiology</subject><subject>COVID-19 - virology</subject><subject>Demographics</subject><subject>Epidemiology</subject><subject>Female</subject><subject>Ferritin</subject><subject>Ferritins - blood</subject><subject>Health risks</subject><subject>Heart failure</subject><subject>Hospitalization</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Intensive care</subject><subject>Intensive care unit</subject><subject>Intensive Care Units - statistics & numerical data</subject><subject>Laboratories</subject><subject>Lymphocyte Count - methods</subject><subject>Lymphocytes</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Pandemics</subject><subject>Pandemics - statistics & numerical data</subject><subject>Patient Transfer - organization & administration</subject><subject>Patients</subject><subject>Pneumonia</subject><subject>Public health</subject><subject>Research Design - standards</subject><subject>Research Design - statistics & numerical data</subject><subject>Respiratory failure</subject><subject>Respiratory Insufficiency - epidemiology</subject><subject>Respiratory Insufficiency - etiology</subject><subject>Retrospective Studies</subject><subject>Risk</subject><subject>Risk analysis</subject><subject>Risk Assessment</subject><subject>Risk Factors</subject><subject>SARS-CoV-2 - genetics</subject><subject>Score</subject><subject>Severe acute respiratory syndrome coronavirus 2</subject><subject>Time Factors</subject><subject>Transfer</subject><subject>Ventilators</subject><issn>0954-6111</issn><issn>1532-3064</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kc1uEzEUhS0EoqHwAiyQJTZsJvh_ZhBCqqIWkCqxgbXlse-kDokdfGci9e1xmrYCFqxs-X73yOccQl5ztuSMm_ebZdlBWAomjg9GMPmELLiWopHMqKdkwXqtGsM5PyMvEDeMsV4p9pycSclVq41YkOkCERBjWtPpBmgCCHTMhU7FJRyhXvLdIKYJEsYDUO8K0DnF6Y5b5ZKTO8QyY8N7GiKCQ_hAL_cxwC7mbV7fUpcCLRF_0tH5KRd8SZ6Nbovw6v48Jz-uLr-vvjTX3z5_XV1cN151cmrGNnA_cD0a0TPlvNFDECr4Lgy6M9oHF7TRpmdj2w4saKn8KKTpjDJMMdPLc_LppLufh5qUh1Rtbe2-xJ0rtza7aP-epHhj1_lgW911NaIq8O5eoORfM-BkdxE9bLcuQZ7RCqXbvmUt0xV9-w-6yXNJ1V6lDNdKtEZWSpwoXzJigfHxM5zZY6l2Y4-l2mOp9lRqXXrzp43HlYcWK_DxBEAN8xChWPQRkocQC_jJhhz_p_8bU3az8A</recordid><startdate>20201101</startdate><enddate>20201101</enddate><creator>Hashmi, Muhammad Daniyal</creator><creator>Alnababteh, Muhtadi</creator><creator>Vedantam, Karthik</creator><creator>Alunikummannil, Jojo</creator><creator>Oweis, Emil S.</creator><creator>Shorr, Andrew F.</creator><general>Elsevier Ltd</general><general>Elsevier Limited</general><scope>6I.</scope><scope>AAFTH</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>7U9</scope><scope>ASE</scope><scope>FPQ</scope><scope>H94</scope><scope>K6X</scope><scope>K9.</scope><scope>M7N</scope><scope>NAPCQ</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20201101</creationdate><title>Assessing the need for transfer to the intensive care unit for Coronavirus-19 disease: Epidemiology and risk factors</title><author>Hashmi, Muhammad Daniyal ; Alnababteh, Muhtadi ; Vedantam, Karthik ; Alunikummannil, Jojo ; Oweis, Emil S. ; Shorr, Andrew F.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c483t-f7d1cb15f62904ac65bd24dc8db5865cdad565690f77b0d534cf2368646040693</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Cardiovascular disease</topic><topic>Cell number</topic><topic>Chronic obstructive pulmonary disease</topic><topic>Comorbidity</topic><topic>Coronaviruses</topic><topic>COVID-19</topic><topic>COVID-19 - complications</topic><topic>COVID-19 - epidemiology</topic><topic>COVID-19 - virology</topic><topic>Demographics</topic><topic>Epidemiology</topic><topic>Female</topic><topic>Ferritin</topic><topic>Ferritins - blood</topic><topic>Health risks</topic><topic>Heart failure</topic><topic>Hospitalization</topic><topic>Hospitals</topic><topic>Humans</topic><topic>Intensive care</topic><topic>Intensive care unit</topic><topic>Intensive Care Units - statistics & numerical data</topic><topic>Laboratories</topic><topic>Lymphocyte Count - methods</topic><topic>Lymphocytes</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Pandemics</topic><topic>Pandemics - statistics & numerical data</topic><topic>Patient Transfer - organization & administration</topic><topic>Patients</topic><topic>Pneumonia</topic><topic>Public health</topic><topic>Research Design - standards</topic><topic>Research Design - statistics & numerical data</topic><topic>Respiratory failure</topic><topic>Respiratory Insufficiency - epidemiology</topic><topic>Respiratory Insufficiency - etiology</topic><topic>Retrospective Studies</topic><topic>Risk</topic><topic>Risk analysis</topic><topic>Risk Assessment</topic><topic>Risk Factors</topic><topic>SARS-CoV-2 - genetics</topic><topic>Score</topic><topic>Severe acute respiratory syndrome coronavirus 2</topic><topic>Time Factors</topic><topic>Transfer</topic><topic>Ventilators</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hashmi, Muhammad Daniyal</creatorcontrib><creatorcontrib>Alnababteh, Muhtadi</creatorcontrib><creatorcontrib>Vedantam, Karthik</creatorcontrib><creatorcontrib>Alunikummannil, Jojo</creatorcontrib><creatorcontrib>Oweis, Emil S.</creatorcontrib><creatorcontrib>Shorr, Andrew F.</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect: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>Virology and AIDS Abstracts</collection><collection>British Nursing Index</collection><collection>British Nursing Index (BNI) (1985 to Present)</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>British Nursing Index</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Respiratory medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hashmi, Muhammad Daniyal</au><au>Alnababteh, Muhtadi</au><au>Vedantam, Karthik</au><au>Alunikummannil, Jojo</au><au>Oweis, Emil S.</au><au>Shorr, Andrew F.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Assessing the need for transfer to the intensive care unit for Coronavirus-19 disease: Epidemiology and risk factors</atitle><jtitle>Respiratory medicine</jtitle><addtitle>Respir Med</addtitle><date>2020-11-01</date><risdate>2020</risdate><volume>174</volume><spage>106203</spage><epage>106203</epage><pages>106203-106203</pages><artnum>106203</artnum><issn>0954-6111</issn><eissn>1532-3064</eissn><abstract>Although many patients with coronavirus disease 2019 (Covid-19) require direct admission to the intensive care unit (ICU), some are sent after admission. Clinicians require an understanding of this phenomenon and various risk stratification approaches for recognizing these subjects.
We examined all Covid-19 patients sent initially to a ward who subsequently required care in the ICU. We examined the timing transfer and attempted to develop a risk score based on baseline variables to predict progressive disease. We evaluated the utility of the CURB-65 score at identifying the need for ICU transfer.
The cohort included 245 subjects (mean age 59.0 ± 14.2 years, 61.2% male) and 20% were eventually sent to the ICU. The median time to transfer was 2.5 days. Approximately 1/3rd of patients were not moved until day 4 or later and the main reason for transfer (79.2%) was worsening respiratory failure. A baseline absolute lymphocyte count (ALC) of ≤0.8 103/ml and a serum ferritin ≥1000 ng/ml were independently associated with ICU transfer. Co-morbid illnesses did not correlate with eventual ICU care. Neither a risk score based on a low ALC and/or high ferritin nor the CURB-65 score performed well at predicting need for transfer.
Covid-19 patients admitted to general wards face a significant risk for deterioration necessitating ICU admission and respiratory failure can occur late in this disease. Neither baseline clinical factors nor the CURB-65 score perform well as screening tests to categorize these subjects as likely to progress to ICU care.
•Nearly 20% of Coronavirs-19 disease patients on general wards eventually require intensive care unit admission.•The lymphocyte count & ferritin are associated transfer.•Neither factor nor CURB-65 correlates with subsequent ICU care.</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>33147562</pmid><doi>10.1016/j.rmed.2020.106203</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Cardiovascular disease Cell number Chronic obstructive pulmonary disease Comorbidity Coronaviruses COVID-19 COVID-19 - complications COVID-19 - epidemiology COVID-19 - virology Demographics Epidemiology Female Ferritin Ferritins - blood Health risks Heart failure Hospitalization Hospitals Humans Intensive care Intensive care unit Intensive Care Units - statistics & numerical data Laboratories Lymphocyte Count - methods Lymphocytes Male Middle Aged Pandemics Pandemics - statistics & numerical data Patient Transfer - organization & administration Patients Pneumonia Public health Research Design - standards Research Design - statistics & numerical data Respiratory failure Respiratory Insufficiency - epidemiology Respiratory Insufficiency - etiology Retrospective Studies Risk Risk analysis Risk Assessment Risk Factors SARS-CoV-2 - genetics Score Severe acute respiratory syndrome coronavirus 2 Time Factors Transfer Ventilators |
title | Assessing the need for transfer to the intensive care unit for Coronavirus-19 disease: Epidemiology and risk factors |
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