Analysis on Related Factors of Hospitalization Days of Patients with Novel Coronavirus Pneumonia in Fangcang Shelter Hospitals

¹ The Third Unit of Third Branch, Fangcang Shelter Hospital of National Exhibition and Convention Center, Xi’an 710054, China; Department of Oncology and Hematology, 986 Hospital of Air Force, Xi’an 710032, China,

² The Third Unit of Third Branch, Fangcang Shelter Hospital of National Exhibition and Convention Center, Xi’an 710054, China; Tenth Outpatient Department, 986 Hospital of Air Force, Xi’an 710032, China,

³ The Third Unit of Third Branch, Fangcang Shelter Hospital of National Exhibition and Convention Center, Xi’an 710054, China; Department of Oncology and Hematology, 986 Hospital of Air Force, Xi’an 710032, China,

⁴ The Third Unit of Third Branch, Fangcang Shelter Hospital of National Exhibition and Convention Center, Xi’an 710054, China; Department of Radiology 986 Hospital of Air Force, Xi’an 710032, China ,

⁵ The Third Unit of Third Branch, Fangcang Shelter Hospital of National Exhibition and Convention Center, Xi’an 710054, China; Department of Nursing, 986 Hospital of Air Force, Xi’an 710032, Shaanxi, China,

JCNR 2022 , 6(5), 112–116; https://doi.org/10.26689/jcnr.v6i5.4315

© 2022 by the Authors. Licensee Whioce Publishing, Singapore. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/ )

Abstract

Objective: To study the factors influencing the length of stay in patients with COVID-19. Methods: The clinical data of 110 patients with COVID-19 who were infected with Omicron virus for more than 10 days from April to May 2022 were collected. Their gender, age, smoking status, clinical manifestations related to pneumonia, whether they were combined with other basic diseases and vaccination status were analyzed. The above influencing factors were analyzed by single factor regression analysis, followed by Cox regression model analysis. Results: The age of patients had an effect on the length of hospital stay. The median length of hospital stay of patients that are < 50 years old, 50-64 years old and ? 65 years old were 14, 14, and 17 days respectively (?² = 9.346, P = 0.009). The presence of coronavirus-related symptoms also affects the length of hospital stay (?² = 4.840, P = 0.028). The results of multivariate regression model showed that age (?² = 8.669, P = 0.006) and coronavirus-related symptoms (?² = 5.424, P = 0.020) were independent factors affecting the length of hospital stay. Conclusion: During the development of COVID-19, the age of patients and whether they have coronavirus-related symptoms are positively correlated with the length of stay. Gender, habit of smoking, presence of other basic diseases and vaccination are not related to the length of stay.

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