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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Veröffentlicht in:PloS one 2018-05, Vol.13 (5), p.e0197418-e0197418
Hauptverfasser: 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
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container_issue 5
container_start_page e0197418
container_title PloS one
container_volume 13
creator 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
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.
doi_str_mv 10.1371/journal.pone.0197418
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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. 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F</au><au>Dickey, Burton F</au><au>Ost, David E</au><au>Russell, Charles 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
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