Respiratory involvement parameters in hospitalized COVID-19 patients and their association with mortality and length of stay

Autor: Eric Lam, Sandra Gomez Paz, Dominique Goddard-Harte, Yosif N. Pak, Joshua Fogel, Sofia Rubinstein
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Canadian Journal of Respiratory Therapy, Vol 58, Pp 1-8 (2022)
Druh dokumentu: article
ISSN: 2368-6820
DOI: 10.29390/cjrt-2021-057
Popis: Introduction/Background: Patients with Coronavirus Disease 2019 (COVID-19) present with a spectrum of respiratory symptoms. There are no studies describing respiratory system involvement adjusted for other organ systems, oxygen saturation nadir, hospitalization days until respiratory involvement, proportion of days of respiratory system involvement, and persistent respiratory involvement at discharge in COVID-19 patients. We studied these parameters in COVID-19 patients that received respiratory therapy interventions and their association with mortality and length of stay (LOS). Methods: A single-center cross-sectional retrospective study of 738 COVID-19 patients with respiratory involvement at a hospital in the New York metropolitan area. Results: COVID-19 patients with respiratory involvement had increased mortality with oxygen requirement of FiO2 >55% (OR:39.02, 95% CI:1.59–960.51, P < 0.05) and mechanical ventilation (OR:236.64, 95% CI:8.24–6798.93, P < 0.01). Respiratory system involvement adjusted for other organ system involvement was associated with increased mortality (OR:1.60, 95% CI:1.20, 2.14, P < 0.01) and LOS (B = 0.02, SE = 0.01, P < 0.01). Oxygen saturation nadir of 70%–89% was significantly associated with increased LOS (B = 0.07, SE = 0.03, P < 0.05), whereas oxygen saturation nadir of 1 was associated with increased LOS. Respiratory involvement persistent at discharge was associated with increased mortality (OR:56.82, 95%CI:18.51–174.43, P < 0.001). Conclusions: Among all respiratory parameters, high oxygen requirements and low oxygen saturation nadir are the most predictive of COVID-19 prognosis.
Databáze: Directory of Open Access Journals