EVALUATION OF PREDICTORS OF INEFFECTIVENESS OF ANTIVIRAL THERAPY FOR CHRONIC HEPATITIS C IN THE REPUBLIC OF KAZAKHSTAN: A MATCHED CASE-CONTROL STUDY.

This study aims to identify the predictors of ineffectiveness in antiviral therapy for chronic hepatitis C (CHC) in Kazakhstan. The rising prevalence and mortality rates associated with CHC globally and within Kazakhstan underscore the need for effective antiviral treatment strategies. Despite the introduction of direct-acting antiviral agents (DAAs) with high cure rates, a subset of patients fails to achieve a sustained virological response (SVR). We conducted a multicenter retrospective matched case-control study across 13 regions of Kazakhstan, including 812 patients with CHC. The study involved patients registered in healthcare organizations who had received DAAs, focusing on those who did not reach SVR. Variables such as demographic characteristics, virological status, stage of liver disease, comorbidities, lifestyle factors, therapy regimen, and patient adherence were analyzed. Logistic regression analysis identified multiple factors associated with increased risk of non-response to therapy, including comorbid conditions like arterial hypertension, hepatocellular carcinoma, and lifestyle factors. The study highlights the complexity of CHC treatment in Kazakhstan, emphasizing the need for personalized treatment plans and addressing comorbid conditions and lifestyle factors. This research contributes to understanding the multifaceted nature of CHC treatment response and aids in optimizing therapeutic strategies in similar healthcare settings.

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Journal
PubMed
Published
2024-10-23
Primary Topic
Hepatitis C virus research
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article
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article

EVALUATION OF PREDICTORS OF INEFFECTIVENESS OF ANTIVIRAL THERAPY FOR CHRONIC HEPATITIS C IN THE REPUBLIC OF KAZAKHSTAN: A MATCHED CASE-CONTROL STUDY.

Alexander Nersesov, Mukhtar Kulimbet, Arailym Maikenova, Massimo Colombo et al.
PubMed
Hepatitis C virus research
article

EVALUATION OF PREDICTORS OF INEFFECTIVENESS OF ANTIVIRAL THERAPY FOR CHRONIC HEPATITIS C IN THE REPUBLIC OF KAZAKHSTAN: A MATCHED CASE-CONTROL STUDY.

Alexander Nersesov, Mukhtar Kulimbet, Arailym Maikenova, Massimo Colombo, Chavdar S Pavlov, Elmira Kuantay, Yerkezhan Yerlanova
article en

Abstract

This study aims to identify the predictors of ineffectiveness in antiviral therapy for chronic hepatitis C (CHC) in Kazakhstan. The rising prevalence and mortality rates associated with CHC globally and within Kazakhstan underscore the need for effective antiviral treatment strategies. Despite the introduction of direct-acting antiviral agents (DAAs) with high cure rates, a subset of patients fails to achieve a sustained virological response (SVR). We conducted a multicenter retrospective matched case-control study across 13 regions of Kazakhstan, including 812 patients with CHC. The study involved patients registered in healthcare organizations who had received DAAs, focusing on those who did not reach SVR. Variables such as demographic characteristics, virological status, stage of liver disease, comorbidities, lifestyle factors, therapy regimen, and patient adherence were analyzed. Logistic regression analysis identified multiple factors associated with increased risk of non-response to therapy, including comorbid conditions like arterial hypertension, hepatocellular carcinoma, and lifestyle factors. The study highlights the complexity of CHC treatment in Kazakhstan, emphasizing the need for personalized treatment plans and addressing comorbid conditions and lifestyle factors. This research contributes to understanding the multifaceted nature of CHC treatment response and aids in optimizing therapeutic strategies in similar healthcare settings.

PubMed(352-353)
Humanitas University (IT), Sechenov University (RU), Kazakh National Medical University (KZ)
Openalex Percentile: Top 70%
Hepatitis C virus research
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EVALUATION OF PREDICTORS OF INEFFECTIVENESS OF ANTIVIRAL THERAPY FOR CHRONIC HEPATITIS C IN THE REPUBLIC OF KAZAKHSTAN: A MATCHED CASE-CONTROL STUDY. — Alexander Nersesov, Mukhtar Kulimbet, et al. · PubMed (2024) | TGRS Research Map | TGRS