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Characteristics and Outcomes of Ambulatory Patients with Suspected COVID-19 at a Respiratory Referral Center

Authors :
Vamsi P. Guntur
Brian D. Modena
Laurie A. Manka
Jared J. Eddy
Shu-Yi Liao
Nir M. Goldstein
Pearlanne Zelarney
Carrie A. Horn
Rebecca C. Keith
Barry J. Make
Irina Petrache
Michael E. Wechsler
Source :
SSRN Electronic Journal.
Publication Year :
2021
Publisher :
Elsevier BV, 2021.

Abstract

SARS-CoV-2 continues to cause a global pandemic and management of COVID-19 in outpatient settings remains challenging.We sought to describe characteristics of patients with chronic respiratory disease (CRD) experiencing symptoms consistent with COVID-19, who were seen in a novel Acute Respiratory Clinic, prior to widely available testing, emergence of variants, COVID-19 vaccination, and post-vaccination (breakthrough) SARS-CoV-2 infections.Retrospective electronic medical record data were analyzed from 907 adults with presumed COVID-19 seen between March 16, 2020 and January 7, 2021. Data included demographics, comorbidities, medications, vital signs, laboratory tests, pulmonary function tests, patient disposition, and co-infections. The overdispersed data (aod) R package was used to create a logit model using COVID-19 diagnosis by PCR as the dichotomous outcome variable. Univariate, conventional multivariate and elastic net machine learning were used to analyze data.Male gender, elevated baseline temperature, and respiratory rate predicted COVID-19 diagnosis. Eosinopenia, neutrophilia, and lymphocytosis were also associated with COVID-19 diagnosis. However, asthma and COPD diagnoses were not associated with SARS-CoV-2 PCR positive test. Male gender, low oxygen saturation, and lower forced expiratory volume in 1 s (FEVCRD patients with acute respiratory symptoms in the ambulatory setting were more likely to have COVID-19 if male, febrile and tachypneic. Patients with lower pre-morbid FEV

Details

ISSN :
15565068
Database :
OpenAIRE
Journal :
SSRN Electronic Journal
Accession number :
edsair.doi.dedup.....cd60a5b86362ac68ec81147012033280