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Clinical and radiological imaging as prognostic predictors in COVID-19 patients
Background Since the announcement of COVID-19 as a pandemic infection, several studies have been performed to discuss the clinical picture, laboratory finding, and imaging features of this disease. The aim of this study is to demarcate the imaging features of novel coronavirus infected pneumonia (NC...
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Published in: | Egyptian journal of radiology and nuclear medicine 2021-04, Vol.52 (1), p.100-13 |
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description | Background Since the announcement of COVID-19 as a pandemic infection, several studies have been performed to discuss the clinical picture, laboratory finding, and imaging features of this disease. The aim of this study is to demarcate the imaging features of novel coronavirus infected pneumonia (NCIP) in different age groups and outline the relation between radiological aspect, including CT severity, and clinical aspect, including age, oxygen saturation, and fatal outcome. We implemented a prospective observational study enrolled 299 laboratory-confirmed COVID-19 patients (169 males and 130 females; age range = 2-91 years; mean age = 38.4 ± 17.2). All patients were submitted to chest CT with multi-planar reconstruction. The imaging features of NCIP in different age groups were described. The relations between CT severity and age, oxygen saturation, and fatal outcome were evaluated. Results The most predominant CT features were bilateral (75.4%), posterior (66.3%), pleural-based (93.5%), lower lobe involvement (89.8%), and ground-glass opacity (94.7%). ROC curve analysis revealed that the optimal cutoff age that was highly exposed to moderate and severe stages of NCIP was 38 years old (AUC = 0.77, p < 0.001). NCIP was noted in 42.6% below 40-year-old age group compared to 84% above 40-year-old age group. The CT severity was significantly related to age and fatal outcome (p < 0.001). Anterior, centrilobular, hilar, apical, and middle lobe involvements had a significant relation to below 90% oxygen saturation. A significant negative correlation was found between CT severity and oxygen saturation (r = - 0.49, p < 0.001). Crazy-paving pattern, anterior aspect, hilar, centrilobular involvement, and moderate and severe stages had a statistically significant relation to higher mortality. Conclusion The current study confirmed the value of CT as a prognostic predictor in NCIP through demonstration of the strong relation between CT severity and age, oxygen saturation, and the fatal outcome. In the era of COVID-19 pandemic, this study is considered to be an extension to other studies discussing chest CT features of COVID-19 in different age groups with demarcation of the relation of chest CT severity to different pattern and distribution of NCIP, age, oxygen saturation, and mortality rate. |
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A ; Abdalla, Housseini Mohamed ; Nofal, Hanaa Abu Elazayem ; Hendawy, Hamdy ; Manajrah, Esaraa</creator><creatorcontrib>Metwally, Maha Ibrahim ; Basha, Mohammad Abd Alkhalik ; Zaitoun, Mohamed M. A ; Abdalla, Housseini Mohamed ; Nofal, Hanaa Abu Elazayem ; Hendawy, Hamdy ; Manajrah, Esaraa</creatorcontrib><description>Background Since the announcement of COVID-19 as a pandemic infection, several studies have been performed to discuss the clinical picture, laboratory finding, and imaging features of this disease. The aim of this study is to demarcate the imaging features of novel coronavirus infected pneumonia (NCIP) in different age groups and outline the relation between radiological aspect, including CT severity, and clinical aspect, including age, oxygen saturation, and fatal outcome. We implemented a prospective observational study enrolled 299 laboratory-confirmed COVID-19 patients (169 males and 130 females; age range = 2-91 years; mean age = 38.4 ± 17.2). All patients were submitted to chest CT with multi-planar reconstruction. The imaging features of NCIP in different age groups were described. The relations between CT severity and age, oxygen saturation, and fatal outcome were evaluated. Results The most predominant CT features were bilateral (75.4%), posterior (66.3%), pleural-based (93.5%), lower lobe involvement (89.8%), and ground-glass opacity (94.7%). ROC curve analysis revealed that the optimal cutoff age that was highly exposed to moderate and severe stages of NCIP was 38 years old (AUC = 0.77, p < 0.001). NCIP was noted in 42.6% below 40-year-old age group compared to 84% above 40-year-old age group. The CT severity was significantly related to age and fatal outcome (p < 0.001). Anterior, centrilobular, hilar, apical, and middle lobe involvements had a significant relation to below 90% oxygen saturation. A significant negative correlation was found between CT severity and oxygen saturation (r = - 0.49, p < 0.001). Crazy-paving pattern, anterior aspect, hilar, centrilobular involvement, and moderate and severe stages had a statistically significant relation to higher mortality. Conclusion The current study confirmed the value of CT as a prognostic predictor in NCIP through demonstration of the strong relation between CT severity and age, oxygen saturation, and the fatal outcome. In the era of COVID-19 pandemic, this study is considered to be an extension to other studies discussing chest CT features of COVID-19 in different age groups with demarcation of the relation of chest CT severity to different pattern and distribution of NCIP, age, oxygen saturation, and mortality rate.</description><identifier>ISSN: 0378-603X</identifier><identifier>EISSN: 2090-4762</identifier><identifier>DOI: 10.1186/s43055-021-00470-9</identifier><language>eng</language><publisher>Cairo: Springer</publisher><subject>Age groups ; chest CT ; China ; Coronaviruses ; COVID-19 ; CT imaging ; Egypt ; Epidemics ; Fatal outcome ; Health aspects ; Infection ; Laboratories ; Lymphatic system ; Medical imaging ; Medical research ; Medicine, Experimental ; Middle age ; Novel coronavirus ; Observational studies ; Oxygen saturation ; Pleural effusion ; Population ; Severe acute respiratory syndrome coronavirus 2 ; Severity</subject><ispartof>Egyptian journal of radiology and nuclear medicine, 2021-04, Vol.52 (1), p.100-13</ispartof><rights>COPYRIGHT 2021 Springer</rights><rights>The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>The Author(s) 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c551t-918b23f9ef8955f3c1ac2c9b0bd913d96858ca78cd2eaa02dcf1c78569da67dd3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2788428270?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2788428270?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,780,784,885,25752,27923,27924,37011,38515,43894,44589,74183,74897</link.rule.ids></links><search><creatorcontrib>Metwally, Maha Ibrahim</creatorcontrib><creatorcontrib>Basha, Mohammad Abd Alkhalik</creatorcontrib><creatorcontrib>Zaitoun, Mohamed M. A</creatorcontrib><creatorcontrib>Abdalla, Housseini Mohamed</creatorcontrib><creatorcontrib>Nofal, Hanaa Abu Elazayem</creatorcontrib><creatorcontrib>Hendawy, Hamdy</creatorcontrib><creatorcontrib>Manajrah, Esaraa</creatorcontrib><title>Clinical and radiological imaging as prognostic predictors in COVID-19 patients</title><title>Egyptian journal of radiology and nuclear medicine</title><description>Background Since the announcement of COVID-19 as a pandemic infection, several studies have been performed to discuss the clinical picture, laboratory finding, and imaging features of this disease. The aim of this study is to demarcate the imaging features of novel coronavirus infected pneumonia (NCIP) in different age groups and outline the relation between radiological aspect, including CT severity, and clinical aspect, including age, oxygen saturation, and fatal outcome. We implemented a prospective observational study enrolled 299 laboratory-confirmed COVID-19 patients (169 males and 130 females; age range = 2-91 years; mean age = 38.4 ± 17.2). All patients were submitted to chest CT with multi-planar reconstruction. The imaging features of NCIP in different age groups were described. The relations between CT severity and age, oxygen saturation, and fatal outcome were evaluated. Results The most predominant CT features were bilateral (75.4%), posterior (66.3%), pleural-based (93.5%), lower lobe involvement (89.8%), and ground-glass opacity (94.7%). ROC curve analysis revealed that the optimal cutoff age that was highly exposed to moderate and severe stages of NCIP was 38 years old (AUC = 0.77, p < 0.001). NCIP was noted in 42.6% below 40-year-old age group compared to 84% above 40-year-old age group. The CT severity was significantly related to age and fatal outcome (p < 0.001). Anterior, centrilobular, hilar, apical, and middle lobe involvements had a significant relation to below 90% oxygen saturation. A significant negative correlation was found between CT severity and oxygen saturation (r = - 0.49, p < 0.001). Crazy-paving pattern, anterior aspect, hilar, centrilobular involvement, and moderate and severe stages had a statistically significant relation to higher mortality. Conclusion The current study confirmed the value of CT as a prognostic predictor in NCIP through demonstration of the strong relation between CT severity and age, oxygen saturation, and the fatal outcome. In the era of COVID-19 pandemic, this study is considered to be an extension to other studies discussing chest CT features of COVID-19 in different age groups with demarcation of the relation of chest CT severity to different pattern and distribution of NCIP, age, oxygen saturation, and mortality rate.</description><subject>Age groups</subject><subject>chest CT</subject><subject>China</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>CT imaging</subject><subject>Egypt</subject><subject>Epidemics</subject><subject>Fatal outcome</subject><subject>Health aspects</subject><subject>Infection</subject><subject>Laboratories</subject><subject>Lymphatic system</subject><subject>Medical imaging</subject><subject>Medical research</subject><subject>Medicine, Experimental</subject><subject>Middle age</subject><subject>Novel coronavirus</subject><subject>Observational studies</subject><subject>Oxygen saturation</subject><subject>Pleural effusion</subject><subject>Population</subject><subject>Severe acute respiratory syndrome coronavirus 2</subject><subject>Severity</subject><issn>0378-603X</issn><issn>2090-4762</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>COVID</sourceid><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNptj0uLFDEUhYMo2IzzB1wVuK7x5lF5bIShfTUM9EbFXbidR5mmOmmTasF_b5gZ0AFvFjecnHycQ8hrCjeUavm2CQ7TNAKjI4BQMJpnZMPAwCiUZM_JBrjSowT-_SW5bu0IfQQAlWJD9tsl5eRwGTD7oaJPZSnzvZBOOKc8D9iGcy1zLm1Nrl-DT24ttQ0pD9v9t937kZrhjGsKeW2vyIuISwvXj_uKfP344cv283i3_7Tb3t6NbproOhqqD4xHE6I20xS5o-iYMwc4eEO5N1JP2qHSzrOACMy7SJ3SkzQepfKeX5HdA9cXPNpz7WHrb1sw2Xuh1Nli7XmXYKUWIYIKnukoJsaQovaICoF6KQzvrHcPrPPlcAre9R4VlyfQpy85_bBz-WU1cA5Gd8CbR0AtPy-hrfZYLjX3_pYprQXTTMFf14w9VcqxdJg7pebsrdTAmJKcddfNf1z9-HBKruQQU9f_-fAHKw-dRQ</recordid><startdate>20210409</startdate><enddate>20210409</enddate><creator>Metwally, Maha Ibrahim</creator><creator>Basha, Mohammad Abd Alkhalik</creator><creator>Zaitoun, Mohamed M. A</creator><creator>Abdalla, Housseini Mohamed</creator><creator>Nofal, Hanaa Abu Elazayem</creator><creator>Hendawy, Hamdy</creator><creator>Manajrah, Esaraa</creator><general>Springer</general><general>Springer Nature B.V</general><general>Springer Berlin Heidelberg</general><general>SpringerOpen</general><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>COVID</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20210409</creationdate><title>Clinical and radiological imaging as prognostic predictors in COVID-19 patients</title><author>Metwally, Maha Ibrahim ; Basha, Mohammad Abd Alkhalik ; Zaitoun, Mohamed M. A ; Abdalla, Housseini Mohamed ; Nofal, Hanaa Abu Elazayem ; Hendawy, Hamdy ; Manajrah, Esaraa</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c551t-918b23f9ef8955f3c1ac2c9b0bd913d96858ca78cd2eaa02dcf1c78569da67dd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Age groups</topic><topic>chest CT</topic><topic>China</topic><topic>Coronaviruses</topic><topic>COVID-19</topic><topic>CT imaging</topic><topic>Egypt</topic><topic>Epidemics</topic><topic>Fatal outcome</topic><topic>Health aspects</topic><topic>Infection</topic><topic>Laboratories</topic><topic>Lymphatic system</topic><topic>Medical imaging</topic><topic>Medical research</topic><topic>Medicine, Experimental</topic><topic>Middle age</topic><topic>Novel coronavirus</topic><topic>Observational studies</topic><topic>Oxygen saturation</topic><topic>Pleural effusion</topic><topic>Population</topic><topic>Severe acute respiratory syndrome coronavirus 2</topic><topic>Severity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Metwally, Maha Ibrahim</creatorcontrib><creatorcontrib>Basha, Mohammad Abd Alkhalik</creatorcontrib><creatorcontrib>Zaitoun, Mohamed M. A</creatorcontrib><creatorcontrib>Abdalla, Housseini Mohamed</creatorcontrib><creatorcontrib>Nofal, Hanaa Abu Elazayem</creatorcontrib><creatorcontrib>Hendawy, Hamdy</creatorcontrib><creatorcontrib>Manajrah, Esaraa</creatorcontrib><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</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</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Coronavirus Research Database</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>ProQuest - Publicly Available Content Database</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>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Egyptian journal of radiology and nuclear medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Metwally, Maha Ibrahim</au><au>Basha, Mohammad Abd Alkhalik</au><au>Zaitoun, Mohamed M. A</au><au>Abdalla, Housseini Mohamed</au><au>Nofal, Hanaa Abu Elazayem</au><au>Hendawy, Hamdy</au><au>Manajrah, Esaraa</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Clinical and radiological imaging as prognostic predictors in COVID-19 patients</atitle><jtitle>Egyptian journal of radiology and nuclear medicine</jtitle><date>2021-04-09</date><risdate>2021</risdate><volume>52</volume><issue>1</issue><spage>100</spage><epage>13</epage><pages>100-13</pages><issn>0378-603X</issn><eissn>2090-4762</eissn><abstract>Background Since the announcement of COVID-19 as a pandemic infection, several studies have been performed to discuss the clinical picture, laboratory finding, and imaging features of this disease. The aim of this study is to demarcate the imaging features of novel coronavirus infected pneumonia (NCIP) in different age groups and outline the relation between radiological aspect, including CT severity, and clinical aspect, including age, oxygen saturation, and fatal outcome. We implemented a prospective observational study enrolled 299 laboratory-confirmed COVID-19 patients (169 males and 130 females; age range = 2-91 years; mean age = 38.4 ± 17.2). All patients were submitted to chest CT with multi-planar reconstruction. The imaging features of NCIP in different age groups were described. The relations between CT severity and age, oxygen saturation, and fatal outcome were evaluated. Results The most predominant CT features were bilateral (75.4%), posterior (66.3%), pleural-based (93.5%), lower lobe involvement (89.8%), and ground-glass opacity (94.7%). ROC curve analysis revealed that the optimal cutoff age that was highly exposed to moderate and severe stages of NCIP was 38 years old (AUC = 0.77, p < 0.001). NCIP was noted in 42.6% below 40-year-old age group compared to 84% above 40-year-old age group. The CT severity was significantly related to age and fatal outcome (p < 0.001). Anterior, centrilobular, hilar, apical, and middle lobe involvements had a significant relation to below 90% oxygen saturation. A significant negative correlation was found between CT severity and oxygen saturation (r = - 0.49, p < 0.001). Crazy-paving pattern, anterior aspect, hilar, centrilobular involvement, and moderate and severe stages had a statistically significant relation to higher mortality. Conclusion The current study confirmed the value of CT as a prognostic predictor in NCIP through demonstration of the strong relation between CT severity and age, oxygen saturation, and the fatal outcome. In the era of COVID-19 pandemic, this study is considered to be an extension to other studies discussing chest CT features of COVID-19 in different age groups with demarcation of the relation of chest CT severity to different pattern and distribution of NCIP, age, oxygen saturation, and mortality rate.</abstract><cop>Cairo</cop><pub>Springer</pub><doi>10.1186/s43055-021-00470-9</doi><tpages>13</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Age groups chest CT China Coronaviruses COVID-19 CT imaging Egypt Epidemics Fatal outcome Health aspects Infection Laboratories Lymphatic system Medical imaging Medical research Medicine, Experimental Middle age Novel coronavirus Observational studies Oxygen saturation Pleural effusion Population Severe acute respiratory syndrome coronavirus 2 Severity |
title | Clinical and radiological imaging as prognostic predictors in COVID-19 patients |
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