Associated Factors of Viral Hepatitis Transmission among Hemodialysis Adult Patients

Background: Individuals suffering from chronic kidney disease (CKD) are more likely to die, particularly those with end-stage kidney disease. Surprisingly, these deaths are related to many diseases, and this mortality rate motivates us to identify additional risk factors that can be modified to improve survival in patients requiring hemodialysis. Hepatitis virus infection has been associated with many comorbidities other than the liver, such as kidney disease, cardiovascular disease, insulin resistance, diabetes mellitus, and lymphoproliferative disease. Objective: To estimate the hepatitis prevalence in hemodialysis units and assess the risk factors contributing to viral hepatitis infection in hemodialysis centers. Materials and Methods: Cohort study design conducted in dialysis centers-Najaf AL Ashraf\ Iraq , , May 2023. The sample was collected by questionnaire and by referring to patient records to measure the prevalence of viral hepatitis. Results: 72 patients with hepatitis in hemodialysis centers responded to study. Their ages ranged from 20-78 years. The group of participants (41-60 years old) constituted approximately half of sample, and the percentage of sex was males more than females. The prevalence of viral hepatitis was 10.3 %. Among patients with hemodialysis treatment, hepatitis B virus is less than C.

Authors

Institutions

Publication Details

Journal
South Eastern European Journal of Public Health
Published
2024-10-09
DOI
https://doi.org/10.70135/seejph.vi.1562
Primary Topic
Hepatitis C virus research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Associated Factors of Viral Hepatitis Transmission among Hemodialysis Adult Patients

Naji Yasser Saadoon, Zaman Kareem Kadhim
South Eastern European Journal of Public Health
Hepatitis C virus research
article

Associated Factors of Viral Hepatitis Transmission among Hemodialysis Adult Patients

Naji Yasser Saadoon, Zaman Kareem Kadhim
article en

Abstract

Background: Individuals suffering from chronic kidney disease (CKD) are more likely to die, particularly those with end-stage kidney disease. Surprisingly, these deaths are related to many diseases, and this mortality rate motivates us to identify additional risk factors that can be modified to improve survival in patients requiring hemodialysis. Hepatitis virus infection has been associated with many comorbidities other than the liver, such as kidney disease, cardiovascular disease, insulin resistance, diabetes mellitus, and lymphoproliferative disease. Objective: To estimate the hepatitis prevalence in hemodialysis units and assess the risk factors contributing to viral hepatitis infection in hemodialysis centers. Materials and Methods: Cohort study design conducted in dialysis centers-Najaf AL Ashraf\ Iraq , , May 2023. The sample was collected by questionnaire and by referring to patient records to measure the prevalence of viral hepatitis. Results: 72 patients with hepatitis in hemodialysis centers responded to study. Their ages ranged from 20-78 years. The group of participants (41-60 years old) constituted approximately half of sample, and the percentage of sex was males more than females. The prevalence of viral hepatitis was 10.3 %. Among patients with hemodialysis treatment, hepatitis B virus is less than C.

South Eastern European Journal of Public Health
Mustansiriyah University (IQ), University of Babylon (IQ)
Good health and well-being
Openalex Percentile: Top 72%
Hepatitis C virus research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.