Presenting characteristics, comorbidities, and outcomes among COVID-19 patients hospitalized in twin cities of Pakistan

Comparative assessment of SARS CoV2-associated mortalities in 3 COVID waves and related risk factors: The South Kashmir's experience

Introduction

Severe acute respiratory syndrome coronavirus 2 causing coronavirus disease 2019 (COVID-19) pandemic have spurted in three major waves in India at different times and had different levels of severity in different waves. The objective of our study was to determine the comparative mortality rate in three COVID-19 waves and determine the factors associated with mortality.

Methods

We identified a cohort of 1,132 COVID-19 patients who were admitted between April 14, 2020 and February 08, 2022 at our center. All the admitted patients with positive COVID-polymerase chain reaction were included in the study. Sample characteristics were determined by screening age, sex, socio-economic status, occupation, symptomatology of COVID, patient status on admission, baseline investigations, comorbidities, medical history, oxygen dosage needed during admission, the span of hospital stay, diagnosis, and vitals such as blood pressure, pulse, and oxygen saturation. All the data were procured from an institutional database.

Results

In total, 1,132 patients included in the study, the mean age was 65.08 ± 12.29 and 56% were males. The affliction rate was 42.13% in >60 years, 29.5% in 46-60 years, 20.8% in 31-45 years, and 7.4% in 30 years' group. In the first, second, and third waves of COVID-19, the mortality rates were 13.21%, 23.53%, and 11.39%, respectively. Among the comorbidities, mortality rates were proportionately higher in those with hypertension (6.7%), and diabetes (5.5%), than those with chronic obstructive pulmonary disease (3.3%), chronic kidney disease (CKD) (1.5%), heart disease (1.6%), and malignancy (0.2%).

Conclusion

We identify the peaked mortalities in the second encounter which was predicted by age, comorbidities such as hypertension, and diabetes.

An Evaluation of Non-Communicable Diseases and Risk Factors Associated with COVID-19 Disease Severity in Dubai, United Arab Emirates: An Observational Retrospective Study

The aim of this study was to determine the prevalence of non-communicable diseases and their correlation with COVID-19 disease severity among patients infected in Dubai. Clinical and demographic data were extracted from hospital records of 34,687 COVID-19 patients who visited or were admitted into Dubai hospitals between 28 January 2020 and 30 September 2020. Prevalence of co-morbidities in COVID-19 patients were assessed. The main risk factors associated with COVID-19 disease severity were also identified using three regression models. All co-morbidities were significantly associated with COVID-19 severity in the bivariate analysis (p-value ≤ 0.05) except for vitamin-D deficiency and chronic lower respiratory diseases. Patients with ischemic heart diseases (AOR: 2.08; 95% CI: 1.37, 3.15), pulmonary and other heart diseases (AOR: 2.13; 95% CI: 1.36, 3.32) and chronic kidney diseases (AOR: 1.81; 95% CI: 1.01, 3.25) had higher odds of severe COVID-19 symptoms. Suffering from multiple co-morbidities increased the odds of developing severe COVID-19 symptoms substantially in comparison to having only one co-morbidity i.e., (AOR: 1.52; 95% CI 1.76-2.60) to (AOR: 2.33; 95% CI: 1.37, 3.97). Identifying these risk factors could assist in the early recognition of high-risk populations and ensure the most appropriate preventive measures and required medical management during the pandemic.