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Quick-SOFA score ≥ 2 predicts prolonged hospital stay in geriatric patients with influenza infection

tetano

Editor, Senior Moderator
Am J Emerg Med. 2019 Jun 25. pii: S0735-6757(19)30422-X. doi: 10.1016/j.ajem.2019.06.041. [Epub ahead of print]
[h=1]Quick-SOFA score ≥ 2 predicts prolonged hospital stay in geriatric patients with influenza infection.[/h] Yeh CC[SUP]1[/SUP], Chen YA[SUP]1[/SUP], Hsu CC[SUP]2[/SUP], Chen JH[SUP]3[/SUP], Chen WL[SUP]3[/SUP], Huang CC[SUP]4[/SUP], Chung JY[SUP]5[/SUP].
[h=3]Author information[/h]

[h=3]Abstract[/h] [h=4]PURPOSE:[/h] The quick Sepsis-Related Organ Failure Assessment (qSOFA) score was designed to predict mortality among sepsis patients. However, it has never been used to identify prolonged length of hospital stay (pLOS) in geriatric patients with influenza infection. We conducted this study to clarify this issue.
[h=4]METHODS:[/h] We conducted a retrospective case-control study, including geriatric patients (aged ≥ 65 years) with influenza infection visiting the emergency department (ED) of a medical center between January 01, 2010 and December 31, 2015. The included patients were divided into two groups on the basis of their qSOFA score: qSOFA < 2, and qSOFA ≥ 2. Data regarding demographics, vital signs, qSOFA score, underlying diseases, subtypes of influenza, and outcomes were included in the analysis. We investigated the association between qSOFA score ≥ 2 and pLOS (>9 days) via logistic regression.
[h=4]RESULTS:[/h] Four hundred and nine geriatric patients were included in this study with a mean age of 79.5 (standard deviation [SD], 8.3) years. The median length of stay (LOS) was 7.0 (interquartile range [IQR], 4-12) days, while the rate of pLOS (> 9 days) was 32%. The median LOS in the qSOFA ≥ 2 group, 11.0 (7-15) days, was longer than the qSOFA < 2 group, 6.0 (4-10) days (p-value <0.01). Logistic regression showed that qSOFA ≥ 2 predicts pLOS with an odds ratio of 3.78 (95% confidence interval, 2.04-6.97).
[h=4]CONCLUSION:[/h] qSOFA score ≥ 2 is a prompt and simple tool to predict pLOS in geriatric patients with influenza infection.
Copyright ? 2019. Published by Elsevier Inc.


[h=4]KEYWORDS:[/h] Emergency department; Geriatric; Influenza; Mortality; Prediction; Prolonged length of stay; qSOFA score

PMID: 31272756 DOI: 10.1016/j.ajem.2019.06.041
 
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