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J Med Virol . Factors associated with SARS-CoV-2 infection in patients attending an acute hospital ambulatory assessment unit

tetano

Editor, Senior Moderator
J Med Virol


. 2021 Mar 26.
doi: 10.1002/jmv.26966. Online ahead of print.
Factors associated with SARS-CoV-2 infection in patients attending an acute hospital ambulatory assessment unit


G Ronan[SUP] 1 [/SUP], L Kumar[SUP] 1 [/SUP], M Davey[SUP] 1 [/SUP], C O'Leary[SUP] 1 [/SUP], S McAleer[SUP] 1 [/SUP], J Lynch[SUP] 1 [/SUP], R Lavery[SUP] 1 [/SUP], J Campion[SUP] 1 [/SUP], J Ryan[SUP] 1 [/SUP], P J O'Donoghue[SUP] 1 [/SUP], A Daly[SUP] 1 [/SUP], J Shanahan[SUP] 1 [/SUP], S Costelloe[SUP] 1 [/SUP], C Sadlier[SUP] 1 [/SUP], C McGlade[SUP] 1 [/SUP], S Manning[SUP] 1 [/SUP], J Carroll[SUP] 1 [/SUP], S O'Flynn[SUP] 1 [/SUP], P Barry[SUP] 1 [/SUP], J Chevarria[SUP] 1 [/SUP]



Affiliations

Abstract

Aim: To describe the factors associated with SARS-CoV-2 infection in mild-to-moderate patients attending for assessment.
Methods: This observational study was conducted in a model 4 tertiary referral centre in Ireland. All patients referred for SARS-CoV-2 assessment over a 4 week period were included. Patient demographics, presenting symptoms, comorbidities, medications and outcomes (including length of stay, discharge, and mortality) were collected.
Results: 279 patients were assessed. These patients were predominantly female (62%) with a median age of 50 years (SD 16.9). 19(6.8%) patients had SARS-CoV-2 detected. Dysgeusia was associated with a 16-fold increased prediction of SARS-CoV-2 positivity (p=0.001; OR 16.8; 95% CI 3.82-73.84). Thirteen patients with SARS-COV-2 detected (68.4%) were admitted, in contrast with 38.1% (99/260) of patients with SARS-CoV-2 non-detectable or not tested (p=0.001). Female patients were more likely to be hospitalised (p=0.01) as were current and ex-smokers (p=0.05).
Conclusion: We describe olfactory disturbance and fever as main presenting features in SARS-CoV-2 infection. These patients are more likely to be hospitalised with increased length of stay; however they make up a minority of the patients assessed. 'Non-detectable' patients remain likely to require prolonged hospitalisation. Knowledge of predictors of hospitalisation in a 'non-detectable' cohort will aid future planning and discussion of patient assessment in a SARS-CoV-2 era. This article is protected by copyright. All rights reserved.

Keywords: Coronavirus < Virus classification; Pandemics < Epidemiology; SARS coronavirus < Virus classification.
 
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