Ontology highlight
ABSTRACT: Background
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.Methods
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.Results
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.Conclusions
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.
SUBMITTER: Sheshadri A
PROVIDER: S-EPMC5957350 | biostudies-literature | 2018
REPOSITORIES: biostudies-literature
Sheshadri Ajay A Shah Dimpy P DP Godoy Myrna M Erasmus Jeremy J JJ Song Juhee J Li Liang L Evans Scott E SE Chemaly Roy F RF Dickey Burton F BF Ost David E DE
PloS one 20180517 5
<h4>Background</h4>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.<h4>Methods</h4>We conducted a retrospective review of consecutively-enrolled adult patients with hematologic malignancy or hematopoietic stem cell tra ...[more]