Comorbidity and Its Impact on Mortality of COVID-19 in Yazd Province, a Central part of Iran: a Hospital-based study

Moslem  Taheri Soodejani; Saeed  Hosseini; Reyhane  Sefidkar; Farzan  Madadizadeh; Hossein  Fallahzadeh; Ahmad  Dehghan; Neda  Dehghani Tafti; Mohammad Hassan  Lotfi

doi:10.18502/jchr.v11i2.10002

Moslem Taheri Soodejani Center for Healthcare Data Modeling, Department of Biostatistics and Epidemiology, School of public health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
Saeed Hosseini Center for Healthcare Data Modeling, Department of Biostatistics and Epidemiology, School of public health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
Reyhane Sefidkar Center for Healthcare Data Modeling, Department of Biostatistics and Epidemiology, School of public health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
Farzan Madadizadeh Center for Healthcare Data Modeling, Department of Biostatistics and Epidemiology, School of public health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
Hossein Fallahzadeh Center for Healthcare Data Modeling, Department of Biostatistics and Epidemiology, School of public health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
Ahmad Dehghan Accident prevention and crisis research center, emergency organization, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
Neda Dehghani Tafti Accident prevention and crisis research center, emergency organization, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
Mohammad Hassan Lotfi Center for Healthcare Data Modeling, Department of Biostatistics and Epidemiology, School of public health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran

DOI: https://doi.org/10.18502/jchr.v11i2.10002

Keywords: SARS-COV-2, Risk Factors, Population attributable fraction, pandemic, Yazd, Iran

Abstract

Introduction: The World Health Organization on March 11, 2020 declared the outbreak of severe acute respiratory syndrome Corona virus 2 disease (COVID-19) a pandemic situation. The main aim of this study was investigating mortality of COVID-19 by considering chronic diseases.

methods: This study was conducted as a cross-sectional in which all confirmed cases were examined. The variables considered in this study were age, sex, diabetes mellitus, cancers, hypertension, heart diseases, kidney diseases, and liver diseases. Independent sample t test, Chi-square and binary logistic regression were used for data analysis. All statistical analysis was done in SPSS 16 and significant level was set at 0.05.

Results: Out of 22849 PCR and CT scan tests, 16061 were positive. According to the confirmed cases, prevalence of COVID-19 was calculated about 0.019. Also hospital case fatality rate and mortality rate were calculated 156 and about 8.2 per 100000 respectively. Hypertension, and age had significant relationship with morbidity of COVID-19, in other hand, age (OR: 4.51, p<0.001), kidney diseases (OR: 1.84, p<0.001), diabetes mellitus (OR: 1.31, p<0.001), cancer (OR: 2.73, p<0.001), liver diseases (OR: 2.27, p<0.001) had impact on mortality of covid-19. Population Attributable Fraction (PAF) showed the most fraction of death was due to diabetes mellitus, cancers, kidney diseases, and liver diseases.

Conclusion: Age and some underlying diseases increase odds of death due to COVID-19. It seems that preventing high-risk people from being infected is an effective solution to reduce COVID-19 death rate. To do this, health protocols need to be implemented more seriously for these sensitive groups.