Relationship between Underlying Diseases with Morbidity and Mortality in Patients with COVID-19.

BACKGROUND

This study aims to investigate the clinical and demographic features of underlying medical conditions and the potential relationship between underlying diseases and the increased rate of morbidity and mortality due to COVID-19.

MATERIALS AND METHODS

This study was conducted on 350 COVID-19 patients hospitalized at the Masih Daneshvari Hospital from February-July 2021. All participants had confirmed COVID-19 diagnosis based on symptoms and/or positive PCR test or chest X-ray results. Data was collected from medical records on demographics, disease severity, symptoms, underlying conditions like diabetes, hypertension, coronary heart disease, obesity, renal disease/transplantation, and outcomes like hospital stay, ICU admission, and mortality. Relationships between age, underlying diseases, and mortality were analyzed using chi-square and Fisher's exact tests."

RESULTS

A total of 350 patients diagnosed with COVID-19 were included in the study, with an average estimated age of (60.8±15.4). The age group of 56 and above had the highest morbidity rate, which accounted for 50% of the total participants. Among the COVID-19 patients, diabetes was the most common underlying medical condition, accounting for 31.4% of the cases. High blood pressure was present in 27.1% of the patients, and 17.1% of the total participants had coronary heart disease (CHD). Additionally, 10.9% of the participants were overweight, and 30 of them had previously experienced kidney failure or transplantation. Moreover, the study found that 40% of patients with diabetes died, while the mortality rate was 38.3% in patients with CHD and 47.4% in overweight participants. High blood pressure patients had a mortality rate of 43.2%, and patients with renal failure or kidney transplantation had a significantly increased risk of mortality at 83.3%. The research also revealed a significant and direct relationship between mortality rate, age group, and underlying disease among the patients (P<0.05).

CONCLUSION

The findings of the present study hold significant implications for preventive interventions and policy adoption, particularly in relation to the use of calendar age as the key criterion for risk evaluation. These results underscore the need for a more precise and focused approach to prioritizing patients with identified risk factors.