Progression of the Radiologic Severity Index predicts mortality in patients with parainfluenza virus-associated lower respiratory infections
Radiologic severity may predict adverse outcomes after lower respiratory tract infection (LRI). However, few studies have quantified radiologic severity of LRIs. We sought to evaluate whether a semi-quantitative scoring tool, the Radiologic Severity Index (RSI), predicted mortality after parainfluen...
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description | Radiologic severity may predict adverse outcomes after lower respiratory tract infection (LRI). However, few studies have quantified radiologic severity of LRIs. We sought to evaluate whether a semi-quantitative scoring tool, the Radiologic Severity Index (RSI), predicted mortality after parainfluenza virus (PIV)-associated LRI.
We conducted a retrospective review of consecutively-enrolled adult patients with hematologic malignancy or hematopoietic stem cell transplantation and with PIV detected in nasal wash who subsequently developed radiologically-confirmed LRI. We measured RSI (range 0-72) in each chest radiograph during the first 30 days after LRI diagnosis. We used extended Cox proportional hazards models to identify factors associated with mortality after onset of LRI with all-cause mortality as our failure event.
After adjustment for patient characteristics, each 1-point increase in RSI was associated with an increased hazard of death (HR 1.13, 95% confidence interval [CI] 1.05-1.21, p = 0.0008). Baseline RSI was not predictive of death, but both peak RSI and the change from baseline to peak RSI (delta-RSI) predicted mortality (odds ratio for mortality, peak: 1.11 [95%CI 1.04-1.18], delta-RSI: 1.14 [95%CI 1.06-1.22]). A delta-RSI of ≥19.5 was 89% sensitive and 91% specific in predicting 30-day mortality.
We conclude that the RSI offers precise, informative and reliable assessments of LRI severity. Progression of RSI predicts 30-day mortality after LRI, but baseline RSI does not. Our results were derived from a cohort of patients with PIV-associated LRI, but can be applied in validated in other populations of patients with LRI. |
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We conducted a retrospective review of consecutively-enrolled adult patients with hematologic malignancy or hematopoietic stem cell transplantation and with PIV detected in nasal wash who subsequently developed radiologically-confirmed LRI. We measured RSI (range 0-72) in each chest radiograph during the first 30 days after LRI diagnosis. We used extended Cox proportional hazards models to identify factors associated with mortality after onset of LRI with all-cause mortality as our failure event.
After adjustment for patient characteristics, each 1-point increase in RSI was associated with an increased hazard of death (HR 1.13, 95% confidence interval [CI] 1.05-1.21, p = 0.0008). Baseline RSI was not predictive of death, but both peak RSI and the change from baseline to peak RSI (delta-RSI) predicted mortality (odds ratio for mortality, peak: 1.11 [95%CI 1.04-1.18], delta-RSI: 1.14 [95%CI 1.06-1.22]). A delta-RSI of ≥19.5 was 89% sensitive and 91% specific in predicting 30-day mortality.
We conclude that the RSI offers precise, informative and reliable assessments of LRI severity. Progression of RSI predicts 30-day mortality after LRI, but baseline RSI does not. Our results were derived from a cohort of patients with PIV-associated LRI, but can be applied in validated in other populations of patients with LRI.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0197418</identifier><identifier>PMID: 29771962</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Biology and Life Sciences ; Biopsy ; Blood cancer ; Cancer ; Chest x-rays ; Clinical trials ; Confidence intervals ; Diagnosis ; Disease control ; Disease Progression ; Hazard identification ; Health hazards ; Hematology ; Hematopoietic stem cells ; Humans ; Infections ; Infectious diseases ; Intensive care ; Lymphoma ; Malignancy ; Medicine ; Medicine and Health Sciences ; Mortality ; Parainfluenza ; Parainfluenza viruses ; Patient outcomes ; Patients ; People and Places ; Pneumonia ; Rangefinding ; Research and Analysis Methods ; Respiratory tract ; Respiratory tract diseases ; Respiratory tract infection ; Respiratory tract infections ; Respiratory Tract Infections - diagnostic imaging ; Respiratory Tract Infections - mortality ; Respiratory Tract Infections - pathology ; Respiratory Tract Infections - virology ; Retrospective Studies ; Rubulavirus - pathogenicity ; Software ; Statistical models ; Stem cell transplantation ; Stem cells ; Systematic review ; Tomography ; Transplantation ; Viral infections ; Viruses</subject><ispartof>PloS one, 2018-05, Vol.13 (5), p.e0197418-e0197418</ispartof><rights>COPYRIGHT 2018 Public Library of Science</rights><rights>2018 Sheshadri 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>2018 Sheshadri et al 2018 Sheshadri et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-939393145ff8bd3bf2820a223654e2cfd44932562810b9b0190d187626e14a323</citedby><cites>FETCH-LOGICAL-c692t-939393145ff8bd3bf2820a223654e2cfd44932562810b9b0190d187626e14a323</cites><orcidid>0000-0002-8091-0180</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/PMC5957350/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5957350/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23847,27903,27904,53769,53771,79346,79347</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29771962$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Russell, Charles J.</contributor><creatorcontrib>Sheshadri, Ajay</creatorcontrib><creatorcontrib>Shah, Dimpy P</creatorcontrib><creatorcontrib>Godoy, Myrna</creatorcontrib><creatorcontrib>Erasmus, Jeremy J</creatorcontrib><creatorcontrib>Song, Juhee</creatorcontrib><creatorcontrib>Li, Liang</creatorcontrib><creatorcontrib>Evans, Scott E</creatorcontrib><creatorcontrib>Chemaly, Roy F</creatorcontrib><creatorcontrib>Dickey, Burton F</creatorcontrib><creatorcontrib>Ost, David E</creatorcontrib><title>Progression of the Radiologic Severity Index predicts mortality in patients with parainfluenza virus-associated lower respiratory infections</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Radiologic severity may predict adverse outcomes after lower respiratory tract infection (LRI). However, few studies have quantified radiologic severity of LRIs. We sought to evaluate whether a semi-quantitative scoring tool, the Radiologic Severity Index (RSI), predicted mortality after parainfluenza virus (PIV)-associated LRI.
We conducted a retrospective review of consecutively-enrolled adult patients with hematologic malignancy or hematopoietic stem cell transplantation and with PIV detected in nasal wash who subsequently developed radiologically-confirmed LRI. We measured RSI (range 0-72) in each chest radiograph during the first 30 days after LRI diagnosis. We used extended Cox proportional hazards models to identify factors associated with mortality after onset of LRI with all-cause mortality as our failure event.
After adjustment for patient characteristics, each 1-point increase in RSI was associated with an increased hazard of death (HR 1.13, 95% confidence interval [CI] 1.05-1.21, p = 0.0008). Baseline RSI was not predictive of death, but both peak RSI and the change from baseline to peak RSI (delta-RSI) predicted mortality (odds ratio for mortality, peak: 1.11 [95%CI 1.04-1.18], delta-RSI: 1.14 [95%CI 1.06-1.22]). A delta-RSI of ≥19.5 was 89% sensitive and 91% specific in predicting 30-day mortality.
We conclude that the RSI offers precise, informative and reliable assessments of LRI severity. Progression of RSI predicts 30-day mortality after LRI, but baseline RSI does not. Our results were derived from a cohort of patients with PIV-associated LRI, but can be applied in validated in other populations of patients with LRI.</description><subject>Biology and Life Sciences</subject><subject>Biopsy</subject><subject>Blood cancer</subject><subject>Cancer</subject><subject>Chest x-rays</subject><subject>Clinical trials</subject><subject>Confidence intervals</subject><subject>Diagnosis</subject><subject>Disease control</subject><subject>Disease Progression</subject><subject>Hazard identification</subject><subject>Health hazards</subject><subject>Hematology</subject><subject>Hematopoietic stem cells</subject><subject>Humans</subject><subject>Infections</subject><subject>Infectious diseases</subject><subject>Intensive care</subject><subject>Lymphoma</subject><subject>Malignancy</subject><subject>Medicine</subject><subject>Medicine and Health Sciences</subject><subject>Mortality</subject><subject>Parainfluenza</subject><subject>Parainfluenza viruses</subject><subject>Patient outcomes</subject><subject>Patients</subject><subject>People and Places</subject><subject>Pneumonia</subject><subject>Rangefinding</subject><subject>Research and Analysis Methods</subject><subject>Respiratory tract</subject><subject>Respiratory tract diseases</subject><subject>Respiratory tract infection</subject><subject>Respiratory tract infections</subject><subject>Respiratory Tract Infections - diagnostic imaging</subject><subject>Respiratory Tract Infections - mortality</subject><subject>Respiratory Tract Infections - pathology</subject><subject>Respiratory Tract Infections - virology</subject><subject>Retrospective Studies</subject><subject>Rubulavirus - pathogenicity</subject><subject>Software</subject><subject>Statistical models</subject><subject>Stem cell transplantation</subject><subject>Stem cells</subject><subject>Systematic review</subject><subject>Tomography</subject><subject>Transplantation</subject><subject>Viral 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of the Radiologic Severity Index predicts mortality in patients with parainfluenza virus-associated lower respiratory infections</title><author>Sheshadri, Ajay ; Shah, Dimpy P ; Godoy, Myrna ; Erasmus, Jeremy J ; Song, Juhee ; Li, Liang ; Evans, Scott E ; Chemaly, Roy F ; Dickey, Burton F ; Ost, David E</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-939393145ff8bd3bf2820a223654e2cfd44932562810b9b0190d187626e14a323</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Biology and Life Sciences</topic><topic>Biopsy</topic><topic>Blood cancer</topic><topic>Cancer</topic><topic>Chest x-rays</topic><topic>Clinical trials</topic><topic>Confidence intervals</topic><topic>Diagnosis</topic><topic>Disease control</topic><topic>Disease Progression</topic><topic>Hazard identification</topic><topic>Health hazards</topic><topic>Hematology</topic><topic>Hematopoietic stem 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J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Progression of the Radiologic Severity Index predicts mortality in patients with parainfluenza virus-associated lower respiratory infections</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2018-05-17</date><risdate>2018</risdate><volume>13</volume><issue>5</issue><spage>e0197418</spage><epage>e0197418</epage><pages>e0197418-e0197418</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Radiologic severity may predict adverse outcomes after lower respiratory tract infection (LRI). However, few studies have quantified radiologic severity of LRIs. We sought to evaluate whether a semi-quantitative scoring tool, the Radiologic Severity Index (RSI), predicted mortality after parainfluenza virus (PIV)-associated LRI.
We conducted a retrospective review of consecutively-enrolled adult patients with hematologic malignancy or hematopoietic stem cell transplantation and with PIV detected in nasal wash who subsequently developed radiologically-confirmed LRI. We measured RSI (range 0-72) in each chest radiograph during the first 30 days after LRI diagnosis. We used extended Cox proportional hazards models to identify factors associated with mortality after onset of LRI with all-cause mortality as our failure event.
After adjustment for patient characteristics, each 1-point increase in RSI was associated with an increased hazard of death (HR 1.13, 95% confidence interval [CI] 1.05-1.21, p = 0.0008). Baseline RSI was not predictive of death, but both peak RSI and the change from baseline to peak RSI (delta-RSI) predicted mortality (odds ratio for mortality, peak: 1.11 [95%CI 1.04-1.18], delta-RSI: 1.14 [95%CI 1.06-1.22]). A delta-RSI of ≥19.5 was 89% sensitive and 91% specific in predicting 30-day mortality.
We conclude that the RSI offers precise, informative and reliable assessments of LRI severity. Progression of RSI predicts 30-day mortality after LRI, but baseline RSI does not. Our results were derived from a cohort of patients with PIV-associated LRI, but can be applied in validated in other populations of patients with LRI.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>29771962</pmid><doi>10.1371/journal.pone.0197418</doi><tpages>e0197418</tpages><orcidid>https://orcid.org/0000-0002-8091-0180</orcidid><oa>free_for_read</oa></addata></record> |
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source | MEDLINE; DOAJ Directory of Open Access Journals; EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry; Public Library of Science (PLoS) |
subjects | Biology and Life Sciences Biopsy Blood cancer Cancer Chest x-rays Clinical trials Confidence intervals Diagnosis Disease control Disease Progression Hazard identification Health hazards Hematology Hematopoietic stem cells Humans Infections Infectious diseases Intensive care Lymphoma Malignancy Medicine Medicine and Health Sciences Mortality Parainfluenza Parainfluenza viruses Patient outcomes Patients People and Places Pneumonia Rangefinding Research and Analysis Methods Respiratory tract Respiratory tract diseases Respiratory tract infection Respiratory tract infections Respiratory Tract Infections - diagnostic imaging Respiratory Tract Infections - mortality Respiratory Tract Infections - pathology Respiratory Tract Infections - virology Retrospective Studies Rubulavirus - pathogenicity Software Statistical models Stem cell transplantation Stem cells Systematic review Tomography Transplantation Viral infections Viruses |
title | Progression of the Radiologic Severity Index predicts mortality in patients with parainfluenza virus-associated lower respiratory infections |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-27T16%3A39%3A52IST&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=Progression%20of%20the%20Radiologic%20Severity%20Index%20predicts%20mortality%20in%20patients%20with%20parainfluenza%20virus-associated%20lower%20respiratory%20infections&rft.jtitle=PloS%20one&rft.au=Sheshadri,%20Ajay&rft.date=2018-05-17&rft.volume=13&rft.issue=5&rft.spage=e0197418&rft.epage=e0197418&rft.pages=e0197418-e0197418&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0197418&rft_dat=%3Cgale_plos_%3EA539145445%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=2040744642&rft_id=info:pmid/29771962&rft_galeid=A539145445&rft_doaj_id=oai_doaj_org_article_399007bc04434831ba55f53875de08b9&rfr_iscdi=true |