Viral overload of COVID-19 pandemics: Overweight people a soft target to get an infection

Anwar, Faheem; Tayyab, Muhammad; Haq, Ihteshamul; Shah, Obaid Ullah

doi:10.29328/journal.ijcv.1001037

Cited by 1 publication

(1 citation statement)

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“…The prevalence of HCV varied among population. ELISA and RT-PCR techniques were used in many cities to determine the prevalence of HCV, including 6.6% in Kohat (11,12), 9.2% in the Swat Region, 5.2% in Mardan, 9.3% in DI Khan, and 12.9% in Abbottabad (12,13). The prevalence variations may be due to a variety of factors, including differences in the number of CKD patients in each study, genetic factors, immune status of patients, detection technique type, sample size, cultural knowledge of exposure to a risk factor for HCV transmission, and the diversity of the research that characterized the virus, which can contribute to a successful age group.…”

Section: Discussionmentioning

confidence: 99%

Prevalence and Detection of Genotyping of Hepatitis C Virus in Hemodialysis Patients

Bilal,

Ali,

Farooq

et al. 2023

JHRR

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Background: Hepatitis C virus is a significant global health distress, affecting millions of individuals worldwide. HCV is a disease that spreads through blood and mostly affects the liver. The condition may resolve on its own or progress to cirrhosis, fibrosis, or liver cancer. Chronic kidney disease patients on hemodialysis are at an increased risk for acquiring HCV infection due to cross contamination in dialysis units, blood transfusion, and kidney transplant. The aims of the study were to determine the genotypes among patients of HCV undergoing hemodialysis. Objective: The objective of the study was to assess the prevalence and types of HCV genotypes in hemodialysis patients. Methods: In this cross-sectional study, the HCV positive patients undergoing hemodialysis were enrolled. Samples were collected from the dialysis unit of Farooq Hospital Lahore. RT-PCR was performed to determine the HCV genotypes. This study was conducted on patients of both genders and all age groups. Chi-square test was performed to assess any significant correlation between HCV genotypes in all age groups and both genders. Results: In this study out of a total of 80 hemodialysis patients, 19 (23.8%) were females and 61 (76.3%) were males. The most common genotype observed was 3 (72.5%) followed by 1a (12.5%), 1(10.0%) and 1b (5.0%). Conclusion: The current study revealed that the genotype 3 of HCV as the most frequent genotypes in the hemodialysis patients of our population with most patients in the age group of <60 years.

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Section: Discussionmentioning

confidence: 99%