COVID-19 Recovery Time and Its Predictors among Hospitalized Patients in Designated Hospitals in the Madhesh Province of Nepal: A Multicentric Study

Author:

Singh Jitendra Kumar1ORCID,Acharya Dilaram2ORCID,Gautam Salila3,Neupane Dinesh4ORCID,Bajgain Bishnu Bahadur5ORCID,Mishra Raman6,Yadav Binod Kumar7,Chhetri Pradip8ORCID,Lee Kwan9ORCID,Shah Ankur10

Affiliation:

1. Department of Community Medicine, Janaki Medical College, Tribhuvan University, Janakpur 456000, Nepal

2. Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB T2N 4N1, Canada

3. Independent Researcher, 113 Martinvalley Mews NE, Calgary, AB T3J 4W2, Canada

4. Department of International Health, Bloomberg School of Public Health, Johns Hopkins University, 615 N Wolfe St Suite E8527, Baltimore, MD 21205, USA

5. Department of Paediatrics, Cumming School of Medicine, University of Calgary, Calgary, AB T2N 1N4, Canada

6. Department of Medicine, Janaki Medical College, Tribhuvan University, Janakpur 456000, Nepal

7. Department of Biochemistry, Madhesh Institute of Health Sciences, Janakpur 456000, Nepal

8. Department of Community Medicine, Universal College of Medical Sciences, Tribhuvan University, Rupandehi, Siddharthanagar 32900, Nepal

9. Department of Preventive Medicine, College of Medicine, Dongguk University, Gyeongju 38066, Republic of Korea

10. Department of Radiology, Madhesh Institute of Health Sciences, Janakpur 456000, Nepal

Abstract

This study aimed to determine COVID-19 recovery time and identify predictors among hospitalized patients in the Dhanusha District of Madhesh Province, Nepal. This hospital-based longitudinal study involved 507 COVID-19 patients admitted to three distinct medical facilities for therapeutic intervention between April and October 2021. Data were collected for patient demography, symptoms, vital signs, oxygen saturation levels, temperatures, heart rates, respiratory rates, blood pressure measurements, and other health-related conditions. Kaplan–Meier survival curves estimated the recovery time, and a Cox proportional hazard model was used to identify the predictors of recovery time. For the total participants, mean age was 51.1 (SD = 14.9) years, 68.0% were males. Of the total patients, 49.5% recovered, and 16.8% died. The median for patient recovery was 26 days (95% CI: 25.1–26.7). Patients with severe or critical conditions were less likely to recover compared to those with milder conditions (hazard ratio (HR) = 0.34, 95% CI: 0.15–0.79; p = 0.012). In addition, an increase in oxygen saturation was associated with an elevated likelihood of recovery (HR = 1.09, 95% CI = 1.01–1.17, p = 0.018). This study underscores the need for early admission to hospital and emphasizes the targeted interventions in severe cases. Additionally, the results highlight the importance of optimizing oxygen levels in COVID-19 patient care.

Publisher

MDPI AG

Reference49 articles.

1. COVID-19 annual update: A narrative review;Biancolella;Hum. Genom.,2023

2. Virological characteristics of the SARS-CoV-2 XBB variant derived from recombination of two Omicron subvariants;Tamura;Nat. Commun.,2023

3. Marrone, M., Buongiorno, L., Stellacci, A., Cazzato, G., Stefanizzi, P., and Tafuri, S. (2022). COVID-19 Vaccination Policies: Ethical Issues and Responsibility. Vaccines, 10.

4. World Health Organization (2023, November 12). Coronavirus Disease (COVID-19). Available online: https://www.who.int/news-room/fact-sheets/detail/coronavirus-disease-(covid-19).

5. The epidemiology and pathogenesis of coronavirus disease (COVID-19) outbreak;Rothan;J. Autoimmun.,2020

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