مقالات پذیرفته شده در هشتمین کنگره بین المللی زیست پزشکی
Evaluation of frequency and relationship between underlying diseases and the rate of SARS-CoV-2 infection
Evaluation of frequency and relationship between underlying diseases and the rate of SARS-CoV-2 infection
Hooman Hanifehpour,1Shirzad Fallahi,2Fatemeh Ashrafi,3,*Elham Siasi,4
1. Department of Microbiology, Faculty of Biological Sciences, North Tehran Branch, Islamic Azad University, Tehran, Iran 2. Department of Parasitology and Mycology, School of Medicine, Lorestan University of Medical Sciences, Khorramabad, Iran 3. Department of Microbiology, Faculty of Biological Sciences, North Tehran Branch, Islamic Azad University, Tehran, Iran 4. Department of Microbiology, Faculty of Biological Sciences, North Tehran Branch, Islamic Azad University, Tehran, Iran
Introduction: Introduction
In late December 2019, an unknown pneumonia case was reported in Wuhan, Hubei Province, China, with clinical characteristics very similar to viral pneumonia. COVID-19, as a global respiratory infectious disease, has led to a focus on the impact of underlying diseases on its severity and side effects. This study was designed and conducted to determine the relationship between the incidence of COVID-19 and underlying diseases in patients.
Methods: Materials and Methods
In the first stage, the study objectives were explained to the patients, and written informed consent was obtained from them. In the next stage, a total of 342 nasopharyngeal samples were taken from suspected patients using sterile swabs. RNA extraction was performed using a kit approved by health authorities. LAMP primers for the N gene were designed using Primer Explorer V5 software, resulting in a total of 3 primer pairs. The one-step LAMP assay was performed in a 25 microliter reaction mixture. To confirm the results of LAMP products, 1.5% agarose gel was used with DNA-Safe staining.
Results: Results
Data was recorded in SPSS version 22 statistical software and analyzed using chi-square and logistic regression tests at the significance level. Of the 342 participants in this study, 74 (21.6%) were women and 268 (78.4%) were men. The age range was 1 to 90 years, and the mean age of the study participants was 43.24±17.21 years. There was no significant difference in terms of the age variable (P>0.871), while there was a significant difference in terms of the gender and underlying disease variables, and between these variables and the severity of the disease (P<0.001).
Using the one-step RT-LAMP method on nasopharyngeal samples, individuals infected with SARS-CoV-2 included 93 (27.1%) (72 men and 21 women), of whom 59 (17.2%) had underlying diseases, including diabetic patients (27, 7.8%), cardiovascular patients (13, 3.8%), pulmonary patients (11, 3.2%), kidney patients (6, 1.7%), and cancer patients (2, 0.5%).
Conclusion: conclusion
Underlying diseases can have a significant impact on the side effects and severity of COVID-19. Individuals with underlying diseases may be at higher risk of high-level infection and serious side effects due to weakened immune systems, respiratory problems, poor organ function, and other factors. According to the results of this research and various other studies, a significant statistical correlation between underlying diseases and the severity of SARS-CoV-2 has been shown, with the highest rate being related to diabetes. Therefore, management and control of underlying diseases, including in people with diabetes, is very important.