Association of abnormal pulmonary vasculature on CT scan for COVID-19 infection with decreased diffusion capacity in follow up: A retrospective cohort study
Coronavirus Disease 2019 (COVID-19) is a respiratory viral illness causing pneumonia and systemic disease. Abnormalities in pulmonary function tests (PFT) after COVID-19 infection have been described. The determinants of these abnormalities are unclear. We hypothesized that inflammatory biomarkers a...
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| description | Coronavirus Disease 2019 (COVID-19) is a respiratory viral illness causing pneumonia and systemic disease. Abnormalities in pulmonary function tests (PFT) after COVID-19 infection have been described. The determinants of these abnormalities are unclear. We hypothesized that inflammatory biomarkers and CT scan parameters at the time of infection would be associated with abnormal gas transfer at short term follow-up. We retrospectively studied subjects who were hospitalized for COVID-19 pneumonia and discharged. Serum inflammatory biomarkers, CT scan and clinical characteristics were assessed. CT images were evaluated by Functional Respiratory Imaging with automated tissue segmentation algorithms of the lungs and pulmonary vasculature. Volumes of the pulmonary vessels that were [less than or equal to]5mm (BV5), 5-10mm (BV5_10), and [greater than or equal to]10mm (BV10) in cross sectional area were analyzed. Also the amount of opacification on CT (ground glass opacities). PFT were performed 2-3 months after discharge. The diffusion capacity of carbon monoxide (DLCO) was obtained. We divided subjects into those with a DLCO |
| doi_str_mv | 10.1371/journal.pone.0257892 |
| format | Article |
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Abnormalities in pulmonary function tests (PFT) after COVID-19 infection have been described. The determinants of these abnormalities are unclear. We hypothesized that inflammatory biomarkers and CT scan parameters at the time of infection would be associated with abnormal gas transfer at short term follow-up. We retrospectively studied subjects who were hospitalized for COVID-19 pneumonia and discharged. Serum inflammatory biomarkers, CT scan and clinical characteristics were assessed. CT images were evaluated by Functional Respiratory Imaging with automated tissue segmentation algorithms of the lungs and pulmonary vasculature. Volumes of the pulmonary vessels that were [less than or equal to]5mm (BV5), 5-10mm (BV5_10), and [greater than or equal to]10mm (BV10) in cross sectional area were analyzed. Also the amount of opacification on CT (ground glass opacities). PFT were performed 2-3 months after discharge. The diffusion capacity of carbon monoxide (DLCO) was obtained. We divided subjects into those with a DLCO <80% predicted (Low DLCO) and those with a DLCO [greater than or equal to]80% predicted (Normal DLCO). 38 subjects were included in our cohort. 31 out of 38 (81.6%) subjects had a DLCO<80% predicted. The groups were similar in terms of demographics, body mass index, comorbidities, and smoking status. Hemoglobin, inflammatory biomarkers, spirometry and lung volumes were similar between groups. CT opacification and BV5 were not different between groups, but both Low and Normal DLCO groups had lower BV5 measures compared to healthy controls. BV5_10 and BV10 measures were higher in the Low DLCO group compared to the normal DLCO group. Both BV5_10 and BV10 in the Low DLCO group were greater compared to healthy controls. BV5_10 was independently associated with DLCO<80% in multivariable logistic regression (OR 1.29, 95% CI 1.01, 1.64). BV10 negatively correlated with DLCO% predicted (r = -0.343, p = 0.035). Abnormalities in pulmonary vascular volumes at the time of hospitalization are independently associated with a low DLCO at follow-up. There was no relationship between inflammatory biomarkers during hospitalization and DLCO. Pulmonary vascular abnormalities during hospitalization for COVID-19 may serve as a biomarker for abnormal gas transfer after COVID-19 pneumonia.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0257892</identifier><identifier>PMID: 34653196</identifier><language>eng</language><publisher>San Francisco: Public Library of Science</publisher><subject>Abnormalities ; Algorithms ; Automation ; Biology and Life Sciences ; Biomarkers ; Blood vessels ; Body mass ; Body mass index ; Body size ; Carbon monoxide ; Cohort analysis ; Computed tomography ; Coronaviruses ; COVID-19 ; Dehydrogenases ; Demography ; Diagnosis ; Diffusion ; Discharge ; Dyspnea ; Hemoglobin ; Hospitalization ; Hypoxia ; Illnesses ; Image segmentation ; Infections ; Inflammation ; Lung diseases ; Lungs ; Medical imaging ; Medical research ; Medicine ; Medicine and Health Sciences ; Multivariable control ; Pneumonia ; Pulmonary functions ; Research and Analysis Methods ; Respiratory distress syndrome ; Respiratory function ; Risk factors ; Shortness of breath ; Spirometry ; Surgery ; Systemic diseases ; Variance analysis ; Viral diseases</subject><ispartof>PloS one, 2021-10, Vol.16 (10), p.e0257892-e0257892</ispartof><rights>COPYRIGHT 2021 Public Library of Science</rights><rights>2021 Salerno 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>2021 Salerno et al 2021 Salerno et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c669t-54dfbfff849435dca18afc3965b334366b28811751bbb78e660eb484dfd3c4583</citedby><cites>FETCH-LOGICAL-c669t-54dfbfff849435dca18afc3965b334366b28811751bbb78e660eb484dfd3c4583</cites><orcidid>0000-0003-4871-9826</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8519442/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8519442/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,724,777,781,861,882,2096,2915,23847,27905,27906,53772,53774,79349,79350</link.rule.ids></links><search><contributor>Lazzeri, Chiara</contributor><creatorcontrib>Salerno, Daniel</creatorcontrib><creatorcontrib>Oriaku, Ifeoma</creatorcontrib><creatorcontrib>Darnell, Melinda</creatorcontrib><creatorcontrib>Lanclus, Maarten</creatorcontrib><creatorcontrib>De Backer, Jan</creatorcontrib><creatorcontrib>Lavon, Ben</creatorcontrib><creatorcontrib>Gupta, Rohit</creatorcontrib><creatorcontrib>Jaffe, Fredric</creatorcontrib><creatorcontrib>Vega Sanchez, Maria Elena</creatorcontrib><creatorcontrib>Kim, Victor</creatorcontrib><creatorcontrib>on behalf of the Temple University Covid-19 Research Group</creatorcontrib><title>Association of abnormal pulmonary vasculature on CT scan for COVID-19 infection with decreased diffusion capacity in follow up: A retrospective cohort study</title><title>PloS one</title><description>Coronavirus Disease 2019 (COVID-19) is a respiratory viral illness causing pneumonia and systemic disease. Abnormalities in pulmonary function tests (PFT) after COVID-19 infection have been described. The determinants of these abnormalities are unclear. We hypothesized that inflammatory biomarkers and CT scan parameters at the time of infection would be associated with abnormal gas transfer at short term follow-up. We retrospectively studied subjects who were hospitalized for COVID-19 pneumonia and discharged. Serum inflammatory biomarkers, CT scan and clinical characteristics were assessed. CT images were evaluated by Functional Respiratory Imaging with automated tissue segmentation algorithms of the lungs and pulmonary vasculature. Volumes of the pulmonary vessels that were [less than or equal to]5mm (BV5), 5-10mm (BV5_10), and [greater than or equal to]10mm (BV10) in cross sectional area were analyzed. Also the amount of opacification on CT (ground glass opacities). PFT were performed 2-3 months after discharge. The diffusion capacity of carbon monoxide (DLCO) was obtained. We divided subjects into those with a DLCO <80% predicted (Low DLCO) and those with a DLCO [greater than or equal to]80% predicted (Normal DLCO). 38 subjects were included in our cohort. 31 out of 38 (81.6%) subjects had a DLCO<80% predicted. The groups were similar in terms of demographics, body mass index, comorbidities, and smoking status. Hemoglobin, inflammatory biomarkers, spirometry and lung volumes were similar between groups. CT opacification and BV5 were not different between groups, but both Low and Normal DLCO groups had lower BV5 measures compared to healthy controls. BV5_10 and BV10 measures were higher in the Low DLCO group compared to the normal DLCO group. Both BV5_10 and BV10 in the Low DLCO group were greater compared to healthy controls. BV5_10 was independently associated with DLCO<80% in multivariable logistic regression (OR 1.29, 95% CI 1.01, 1.64). BV10 negatively correlated with DLCO% predicted (r = -0.343, p = 0.035). Abnormalities in pulmonary vascular volumes at the time of hospitalization are independently associated with a low DLCO at follow-up. There was no relationship between inflammatory biomarkers during hospitalization and DLCO. Pulmonary vascular abnormalities during hospitalization for COVID-19 may serve as a biomarker for abnormal gas transfer after COVID-19 pneumonia.</description><subject>Abnormalities</subject><subject>Algorithms</subject><subject>Automation</subject><subject>Biology and Life Sciences</subject><subject>Biomarkers</subject><subject>Blood vessels</subject><subject>Body mass</subject><subject>Body mass index</subject><subject>Body size</subject><subject>Carbon monoxide</subject><subject>Cohort analysis</subject><subject>Computed tomography</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>Dehydrogenases</subject><subject>Demography</subject><subject>Diagnosis</subject><subject>Diffusion</subject><subject>Discharge</subject><subject>Dyspnea</subject><subject>Hemoglobin</subject><subject>Hospitalization</subject><subject>Hypoxia</subject><subject>Illnesses</subject><subject>Image segmentation</subject><subject>Infections</subject><subject>Inflammation</subject><subject>Lung diseases</subject><subject>Lungs</subject><subject>Medical imaging</subject><subject>Medical research</subject><subject>Medicine</subject><subject>Medicine and Health Sciences</subject><subject>Multivariable control</subject><subject>Pneumonia</subject><subject>Pulmonary functions</subject><subject>Research and Analysis Methods</subject><subject>Respiratory distress syndrome</subject><subject>Respiratory function</subject><subject>Risk factors</subject><subject>Shortness of breath</subject><subject>Spirometry</subject><subject>Surgery</subject><subject>Systemic diseases</subject><subject>Variance analysis</subject><subject>Viral 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of abnormal pulmonary vasculature on CT scan for COVID-19 infection with decreased diffusion capacity in follow up: A retrospective cohort study</title><author>Salerno, Daniel ; Oriaku, Ifeoma ; Darnell, Melinda ; Lanclus, Maarten ; De Backer, Jan ; Lavon, Ben ; Gupta, Rohit ; Jaffe, Fredric ; Vega Sanchez, Maria Elena ; Kim, Victor</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c669t-54dfbfff849435dca18afc3965b334366b28811751bbb78e660eb484dfd3c4583</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Abnormalities</topic><topic>Algorithms</topic><topic>Automation</topic><topic>Biology and Life Sciences</topic><topic>Biomarkers</topic><topic>Blood vessels</topic><topic>Body mass</topic><topic>Body mass index</topic><topic>Body size</topic><topic>Carbon monoxide</topic><topic>Cohort analysis</topic><topic>Computed tomography</topic><topic>Coronaviruses</topic><topic>COVID-19</topic><topic>Dehydrogenases</topic><topic>Demography</topic><topic>Diagnosis</topic><topic>Diffusion</topic><topic>Discharge</topic><topic>Dyspnea</topic><topic>Hemoglobin</topic><topic>Hospitalization</topic><topic>Hypoxia</topic><topic>Illnesses</topic><topic>Image segmentation</topic><topic>Infections</topic><topic>Inflammation</topic><topic>Lung diseases</topic><topic>Lungs</topic><topic>Medical imaging</topic><topic>Medical research</topic><topic>Medicine</topic><topic>Medicine and Health Sciences</topic><topic>Multivariable control</topic><topic>Pneumonia</topic><topic>Pulmonary functions</topic><topic>Research and Analysis Methods</topic><topic>Respiratory distress syndrome</topic><topic>Respiratory function</topic><topic>Risk factors</topic><topic>Shortness of breath</topic><topic>Spirometry</topic><topic>Surgery</topic><topic>Systemic diseases</topic><topic>Variance analysis</topic><topic>Viral 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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>Salerno, Daniel</au><au>Oriaku, Ifeoma</au><au>Darnell, Melinda</au><au>Lanclus, Maarten</au><au>De Backer, Jan</au><au>Lavon, Ben</au><au>Gupta, Rohit</au><au>Jaffe, Fredric</au><au>Vega Sanchez, Maria Elena</au><au>Kim, Victor</au><au>Lazzeri, Chiara</au><aucorp>on behalf of the Temple University Covid-19 Research Group</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Association of abnormal pulmonary vasculature on CT scan for COVID-19 infection with decreased diffusion capacity in follow up: A retrospective cohort study</atitle><jtitle>PloS one</jtitle><date>2021-10-15</date><risdate>2021</risdate><volume>16</volume><issue>10</issue><spage>e0257892</spage><epage>e0257892</epage><pages>e0257892-e0257892</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Coronavirus Disease 2019 (COVID-19) is a respiratory viral illness causing pneumonia and systemic disease. Abnormalities in pulmonary function tests (PFT) after COVID-19 infection have been described. The determinants of these abnormalities are unclear. We hypothesized that inflammatory biomarkers and CT scan parameters at the time of infection would be associated with abnormal gas transfer at short term follow-up. We retrospectively studied subjects who were hospitalized for COVID-19 pneumonia and discharged. Serum inflammatory biomarkers, CT scan and clinical characteristics were assessed. CT images were evaluated by Functional Respiratory Imaging with automated tissue segmentation algorithms of the lungs and pulmonary vasculature. Volumes of the pulmonary vessels that were [less than or equal to]5mm (BV5), 5-10mm (BV5_10), and [greater than or equal to]10mm (BV10) in cross sectional area were analyzed. Also the amount of opacification on CT (ground glass opacities). PFT were performed 2-3 months after discharge. The diffusion capacity of carbon monoxide (DLCO) was obtained. We divided subjects into those with a DLCO <80% predicted (Low DLCO) and those with a DLCO [greater than or equal to]80% predicted (Normal DLCO). 38 subjects were included in our cohort. 31 out of 38 (81.6%) subjects had a DLCO<80% predicted. The groups were similar in terms of demographics, body mass index, comorbidities, and smoking status. Hemoglobin, inflammatory biomarkers, spirometry and lung volumes were similar between groups. CT opacification and BV5 were not different between groups, but both Low and Normal DLCO groups had lower BV5 measures compared to healthy controls. BV5_10 and BV10 measures were higher in the Low DLCO group compared to the normal DLCO group. Both BV5_10 and BV10 in the Low DLCO group were greater compared to healthy controls. BV5_10 was independently associated with DLCO<80% in multivariable logistic regression (OR 1.29, 95% CI 1.01, 1.64). BV10 negatively correlated with DLCO% predicted (r = -0.343, p = 0.035). Abnormalities in pulmonary vascular volumes at the time of hospitalization are independently associated with a low DLCO at follow-up. There was no relationship between inflammatory biomarkers during hospitalization and DLCO. Pulmonary vascular abnormalities during hospitalization for COVID-19 may serve as a biomarker for abnormal gas transfer after COVID-19 pneumonia.</abstract><cop>San Francisco</cop><pub>Public Library of Science</pub><pmid>34653196</pmid><doi>10.1371/journal.pone.0257892</doi><tpages>e0257892</tpages><orcidid>https://orcid.org/0000-0003-4871-9826</orcidid><oa>free_for_read</oa></addata></record> |
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| ispartof | PloS one, 2021-10, Vol.16 (10), p.e0257892-e0257892 |
| issn | 1932-6203 1932-6203 |
| language | eng |
| recordid | cdi_plos_journals_2582406995 |
| source | DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Public Library of Science (PLoS); PubMed Central; Free Full-Text Journals in Chemistry |
| subjects | Abnormalities Algorithms Automation Biology and Life Sciences Biomarkers Blood vessels Body mass Body mass index Body size Carbon monoxide Cohort analysis Computed tomography Coronaviruses COVID-19 Dehydrogenases Demography Diagnosis Diffusion Discharge Dyspnea Hemoglobin Hospitalization Hypoxia Illnesses Image segmentation Infections Inflammation Lung diseases Lungs Medical imaging Medical research Medicine Medicine and Health Sciences Multivariable control Pneumonia Pulmonary functions Research and Analysis Methods Respiratory distress syndrome Respiratory function Risk factors Shortness of breath Spirometry Surgery Systemic diseases Variance analysis Viral diseases |
| title | Association of abnormal pulmonary vasculature on CT scan for COVID-19 infection with decreased diffusion capacity in follow up: A retrospective cohort study |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-19T04%3A31%3A50IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Association%20of%20abnormal%20pulmonary%20vasculature%20on%20CT%20scan%20for%20COVID-19%20infection%20with%20decreased%20diffusion%20capacity%20in%20follow%20up:%20A%20retrospective%20cohort%20study&rft.jtitle=PloS%20one&rft.au=Salerno,%20Daniel&rft.aucorp=on%20behalf%20of%20the%20Temple%20University%20Covid-19%20Research%20Group&rft.date=2021-10-15&rft.volume=16&rft.issue=10&rft.spage=e0257892&rft.epage=e0257892&rft.pages=e0257892-e0257892&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0257892&rft_dat=%3Cgale_plos_%3EA679077335%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2582406995&rft_id=info:pmid/34653196&rft_galeid=A679077335&rft_doaj_id=oai_doaj_org_article_22fb0dcab31d4ef3991af7f777b81ce8&rfr_iscdi=true |