Clinical Characteristics and Outcomes of COVID-19 Patients in Mazandaran Province, Iran

Faezeh Sadat Movahedi; Jamshid Yazdani Charati; Farhang Baba Mahmoudi; Fatemeh Abdollahi; Fatemeh Safari Hajikalai

Clinical Characteristics and Outcomes of COVID-19 Patients in Mazandaran Province, Iran

Tanaffos. 2023 Jan;22(1):102-111.

Authors

Faezeh Sadat Movahedi¹, Jamshid Yazdani Charati², Farhang Baba Mahmoudi³, Fatemeh Abdollahi⁴, Fatemeh Safari Hajikalai¹

Affiliations

¹ Student Research Committee, Faculty of Health, Mazandaran University of Medical Sciences, Sari, Iran.
² Department of Biostatistics, School of Health, Health Sciences Research Center, Mazandaran University of Medical Sciences, Sari, Iran.
³ Department of Infectious Diseases, School of Medicine, Antimicrobial Resistance Research Center, Communicable Diseases Institute, Mazandaran University of Medical Sciences, Sari, Iran.
⁴ Department of Public Health, School of Health Sciences Research Center, Addiction Institute, Mazandaran University of Medical Sciences, Sari, Iran.

PMID: 37920321
PMCID: PMC10618590

Abstract

Background: The problem issue of coronaviruses is one of the most serious problems in the world. The present study aimed to investigate and describe the clinical characteristics, risk factors of fatality rate, and length of hospital stay in patients with COVID-19 in Mazandaran province.

Materials and methods: In this epidemiological study, data from COVID-19 patients admitted to hospitals in Mazandaran province from July 22 to August 21, 2020, were reported. Multivariate logistic regression methods and the Cox proportional hazards model were used to determine the risk factors of fatality.

Results: Out of the 6759 hospitalized patients, 3111(46.03%) patients had comorbidity; 19.77% of them had diabetes, 19.97% had hypertension, and 15.28% had heart failure. Cox regression model on COVID-19 patient data showed that risk factors for fatality including having age over 60 years (HR: 1.93; P< 0.001), intubation (HR: 4.22; P<0.001), SpO₂≤ 93% (HR: 2.57; P=0.006), comorbidities of cancer (HR: 1.87; P=0.006), chronic blood diseases (HR: 1.83; P=0.049), heart failure (HR: 1.63; P<0.001), and chronic kidney disease (HR: 1.98; P<0.001).

Conclusion: Paying much attention to risk factors for fatality can help identify patients with a poor prognosis in the early stages. More assessments should also be performed to examine the underlying mechanisms of these risk factors. Highlighting death-relate d risk factors is crucial to increase preparedness through appropriate medical care and prevention regulations.

Keywords: COVID-19; Cox regression; Outcome.