Progression of the Radiologic Severity Index predicts mortality in patients with parainfluenza virus-associated lower respiratory infections

PloS One
Ajay SheshadriDavid E Ost

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...Continue Reading

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Citations

May 14, 2019·Transplant Infectious Disease : an Official Journal of the Transplantation Society·Ajay SheshadriSaadia A Faiz
Jan 29, 2019·Frontiers in Microbiology·Cécile Pochon, Sebastian Voigt
Apr 8, 2020·Risk Management and Healthcare Policy·Qinglin ChengLi Xie
Aug 25, 2021·Journal of Thoracic Imaging·Maria RaissakiGeorge Briassoulis

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Methods Mentioned

BETA
X-ray
bronchoalveolar
nucleic acid amplification

Software Mentioned

SAS

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