Abstract
Objectives To avoid worsening from mild, moderate, and severe diseases and to reduce mortality, it is necessary to identify the subpopulation that is more vulnerable to the development of COVID-19 unfavorable consequences. This study aims to investigate the demographic information, prevalence rates of common comorbidities among negative and positive real-time reverse-transcriptase polymerase chain reaction (rRT-PCR) patients, and the association between SARS-CoV-2 cycle threshold (Ct) at hospital admission, demographic data, and outcomes of the patients in a large population in Northern Iran. Methods This large retrospective cross-sectional study was performed from 7 March to 20 December 2020. Demographic data, including gender, age, underlying diseases, clinical outcomes, and Ct values, were obtained from 8,318 cases suspected of COVID-19, who were admitted to four teaching hospitals affiliated to Babol University of Medical Sciences (MUBABOL), in the north of Iran. Results Since 7 March 2020, the data were collected from 8,318 cases suspected of COVID-19 (48.5% female and 51.5% male) with a mean age of 53 ± 25.3 years. Among 8,318 suspected COVID-19 patients, 3,250 (39.1%) had a positive rRT-PCR result; 1,632 (50.2%) patients were male and 335 (10.3%) patients died during their hospital stay. The distribution of positive rRT-PCR revealed that most patients (464 (75.7%)) had a Ct between 21 and 30 (Group B). Conclusion Elderly patients, lower Ct, patients having at least one comorbidity, and male cases were significantly associated with increased risk for COVID-19-related mortality. Moreover, mortality was significantly higher in patients with diabetes, kidney disease, and respiratory disease.
Highlights
To date, few studies have investigated the relationships between SARS-CoV-2 viral load and mortality in a large patient cohort identification of the subpopulation with higher susceptibility to developing adverse outcomes of COVID-19, preventing the deterioration from moderate and mild to the severe conditions and reducing mortality are essential. us, the present study aims to investigate the demographic information, prevalence rates of common comorbidities among the negative and positive reversetranscriptase polymerase chain reaction (rRT-PCR) patients, and the association between SARS-CoV-2 cycle threshold at hospital admission, demographic data, and outcomes of the patients in a large population in Northern Iran
In this cross-sectional study, we report the demographic, clinical, and outcome characteristics of 8,318 suspected COVID-19 patients who were admitted to the hospitals affiliated to Babol University of Medical Sciences (Babol, north of Iran) during the SARS-CoV-2 pandemic
Real-time reverse transcriptase PCR results showed that 39.1% (n: 3,250/8,318) were positive for SARS-CoV-2 genome, including 50.2% (n: 1,632/3,250) males and 49.8% (n: 1,618/3,250) females. ere were no significant differences in positive rRT-PCR results between males and females (p 0.053). ese data are in agreement with Goshayeshi et al (2021) [20], Allameh et al (2020) [21], and Trunfio et al (2021) [22]
Summary
To avoid worsening from mild, moderate, and severe diseases and to reduce mortality, it is necessary to identify the subpopulation that is more vulnerable to the development of COVID-19 unfavorable consequences. is study aims to investigate the demographic information, prevalence rates of common comorbidities among negative and positive real-time reversetranscriptase polymerase chain reaction (rRT-PCR) patients, and the association between SARS-CoV-2 cycle threshold (Ct) at hospital admission, demographic data, and outcomes of the patients in a large population in Northern Iran. Is study aims to investigate the demographic information, prevalence rates of common comorbidities among negative and positive real-time reversetranscriptase polymerase chain reaction (rRT-PCR) patients, and the association between SARS-CoV-2 cycle threshold (Ct) at hospital admission, demographic data, and outcomes of the patients in a large population in Northern Iran. To date, few studies have investigated the relationships between SARS-CoV-2 viral load and mortality in a large patient cohort identification of the subpopulation with higher susceptibility to developing adverse outcomes of COVID-19, preventing the deterioration from moderate and mild to the severe conditions and reducing mortality are essential. Us, the present study aims to investigate the demographic information, prevalence rates of common comorbidities among the negative and positive rRT-PCR patients, and the association between SARS-CoV-2 cycle threshold at hospital admission, demographic data, and outcomes of the patients in a large population in Northern Iran To date, few studies have investigated the relationships between SARS-CoV-2 viral load and mortality in a large patient cohort identification of the subpopulation with higher susceptibility to developing adverse outcomes of COVID-19, preventing the deterioration from moderate and mild to the severe conditions and reducing mortality are essential. us, the present study aims to investigate the demographic information, prevalence rates of common comorbidities among the negative and positive rRT-PCR patients, and the association between SARS-CoV-2 cycle threshold at hospital admission, demographic data, and outcomes of the patients in a large population in Northern Iran
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