Correlation of pre-existing comorbidities with disease severity in individuals infected with SARS-COV-2 virus.

Shortly after the first publication on the new disease called Coronavirus Disease 2019 (Covid-19), studies on the causal consequences of this disease began to emerge, initially focusing only on transmission methods, and later on its consequences analyzed in terms of gender, age, and the presence of comorbidities. The aim of our research is to determine which comorbidities have the greatest negative impact on the worsening of the disease, namely which comorbidities indicate a predisposition to severe Covid-19, and to understand the gender and age representation of participants and comorbidities. The results of our study show that the dominant gender is male at 54.4% and the age of 65 and older. The most common comorbidities are arterial hypertension, diabetes mellitus, and cardiovascular diseases. The dominant group is recovered participants aged 65 and older, with comorbidities most frequently present in this group. The highest correlation between patients with different severity of the disease was found with cardiovascular diseases, while the coefficient is slightly lower for the relationship between patients with different disease severity and urinary system diseases and hypertension. According to the regression analysis results, we showed that urinary system diseases have the greatest negative impact on the worsening of Covid-19, with the tested coefficient b being statistically significant as it is 0.030 < 0.05. An increase in cardiovascular diseases affects the worsening of Covid-19, with the tested coefficient b being statistically significant as it is 0.030 < 0.05. When it comes to arterial hypertension, it has a small impact on the worsening of Covid-19, but its tested coefficient b is not statistically significant as it is 0.169 > 0.05. The same applies to diabetes mellitus, which also has a small impact on the worsening of Covid-19, but its tested coefficient b is not statistically significant as it is 0.336 > 0.05. Our study has shown that comorbidities such as urinary system diseases and cardiovascular diseases tend to have a negative impact on Covid-19, leading to a poor outcome resulting in death, while diabetes mellitus and hypertension have an impact but without statistical significance.

Biochemical and Hematological Profile of Covid-19 Patients on Mechanical Ventilation.

Beakground: The prevalence of cardiovascular diseases in COVID-19 patients, such as hypertension, diabetes mellitus, and chronic obstructive pulmonary disease, which are the most common comorbid conditions in COVID-19 patients, is considered a risk factor for premature mortality in the population. The aim of the study is to compare the standard biochemical and hematological markers of COVID-19 patients on mechanical ventilation and those who have recovered, and to identify differences by gender and comorbidities, as well as the dominant marker in comorbidities that frequently shows statistical significance, in order to investigate its prognostic value in further research. METHODS: The study is a retrospective study of patients with RT-PCR confirmed presence of the Sars-CoV-2 virus who were hospitalized at the Zenica Cantonal Hospital. The study lasted from February to April 2021. RESULTS: The results of the study, which included a sample of 302 participants, indicate that men were more represented in both the mechanical ventilation group and the recovered group, with 59.6% compared to women with 40.4%. Among the investigated biochemical and hematological parameters, there was a significantly higher number of leukocytes, urea, creatinine, LDH, and troponin in patients on mechanical ventilation, while the number of platelets was significantly higher in recovered patients. The most common comorbidity was hypertension in both groups of patients, with 24.5%. In patients on mechanical ventilation with cardiovascular disease, there was a significantly higher number of leukocytes, urea, creatinine, LDH, and troponin. In the same patients with three comorbidities, there was a significantly higher number of leukocytes, troponin, and LDH, while recovered patients without comorbidities had a significantly higher number of platelets. CONCLUSIONS: The male gender and comorbidities remain a vicious circle in COVID-19 infection, while biochemical and hematological markers can help in forecasting and improve the clinical treatment of these high-risk patients.