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Original Article

Factors predicting life-threatening infections with respiratory syncytial virus in adult patients

, , , , , , , , & show all
Pages 333-340 | Received 04 Jul 2016, Accepted 09 Nov 2016, Published online: 02 Dec 2016
 

Abstract

Background: Respiratory syncytial virus (RSV) is a significant cause of acute respiratory illness with a clinical spectrum ranging from self-limiting upper respiratory infection to severe lower respiratory infection in elderly persons as well as young children. However, there are limited data on risk factors for life-threatening infections that could guide the appropriate use of antiviral agents in adult patients with RSV.

Methods: We conducted a retrospective cohort study from October 2013 to September 2015. Adult patients with RSV who visited the emergency department were enrolled. Primary outcome was life-threatening infection (admission to intensive care unit, need for ventilator care or in-hospital death).

Results: A total of 227 patients were analysed. Thirty-four (15%) were classified as having life-threatening infections. By logistic regression, lower respiratory infection, chronic lung disease and bacterial co-infection were independent predictors of life-threatening infections. We developed a simple clinical scoring system using these variables (lower respiratory tract infection = score 4, chronic respiratory disease = score 3, bacterial co-infection = score 3 and fever ≥38 °C = score 2) to predict life-threatening infection. A score of >5 differentiated life-threatening RSV from non-life-threatening RSV with 82% sensitivity (95% CI, 66–93) and 72% specificity (95% CI, 65–78).

Conclusions: The use of a clinical scoring system based on lower respiratory infection, chronic respiratory disease, bacterial co-infection and fever appears to be useful for outcome prediction and risk stratification in order to select patients who may need early antiviral therapy.

Acknowledgements

This paper was presented in part at the ASM Microbe 2016, Boston, MA, USA, 16–20 June 2016 (Poster session, abstract no. 350).

Disclosure statement

There are no potential conflicts of interest for any authors.

Additional information

Funding

This work was supported by grants from the Korea Health Technology R&D Project through Korea Health Industry Development Institute (KHIDI) funded by the Ministry of Health & Welfare, Republic of Korea [grant No. HI16C0272].

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