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Updated: Nov 16, 2025

A Protocol for Analyzing Hepatitis C Virus Replication
Published on: June 26, 2014
Generalized implementation of reflex testing of hepatitis C in Galicia: Results for reflection
Aldara Vallejo1, Luz María Moldes2, Matilde Trigo3
1Servicio de Microbiología, Complexo Hospitalario Universitario de Santiago, Santiago de Compostela (La Coruña), España; Instituto de Investigación Sanitaria de Santiago, Santiago de Compostela (La Coruña), España.
Insights
Reflex testing for active Hepatitis C Virus (HCV) infection significantly improved patient referral for treatment. This strategy, implemented in Galicia, achieved high treatment and sustained viral response rates, though center variability necessitates further optimization.
Area of Science:
- Hepatology
- Infectious Diseases
- Public Health
Background:
- Active Hepatitis C Virus (HCV) infection diagnosis and referral for treatment are critical public health objectives.
- Previous referral rates for HCV therapeutic evaluation were suboptimal.
- Reflex testing and informative alerts were implemented to improve patient management.
Purpose of the Study:
- To evaluate the impact of implementing reflex testing for active HCV infection in the Galician Health Service (SERGAS).
- To characterize newly diagnosed active HCV infections identified through reflex testing.
- To assess referral rates for therapeutic evaluation and treatment outcomes.
Main Methods:
- Retrospective analysis of data from microbiology services in SERGAS hospitals since 2018.
- Identification and characterization of patients with newly diagnosed active HCV infection via reflex testing.
- Review of referral patterns, diagnostic triggers (viral load), HCV genotypes, treatment initiation, and sustained viral response (SVR).
Main Results:
- In 2018, 258 patients with unknown active HCV infection were identified; 70.2% were male, with a median age of 52.
- Referral for therapeutic evaluation was achieved in 81.0% of cases, with a median of 54 days from diagnosis.
- HCV viral load triggered reflex testing in 58.3% of cases; genotype 1a was predominant (30.7%). Of those treated (52.1%), 93.7% achieved sustained viral response.
Conclusions:
- Generalized implementation of HCV reflex testing and informative alerts in Galicia has led to referral rates comparable to other studies.
- The study highlights a need for improvements, such as enhanced training and optimization strategies, due to observed variability between healthcare centers.
- Reflex testing is an effective strategy for identifying and managing active HCV infections, contributing to improved treatment outcomes.
Introduction:
The implementation of reflex testing of active hepatitis C virus (HCV) infection, together with the incorporation of informative alerts in the reports, has shown that it significantly reduces the number of patients who were not referred for therapeutic evaluation.
Methods:
Since the implementation in 2018 of the DUSP in the microbiology services of the Galician Health Service hospitals (SERGAS), new diagnoses of active HCV infection have been retrospectively identified and characterized.
Results:
In 2018, a total of 258 patients with unknown active HCV infection (70,2% men, middle age 52 years) were identified through by reflex testing from consultations of primary and specialized care units in 54.8% and 39.8% respectively, as well as from other locations by 5.4%. Of the 258 patients, 81.0% were referred for therapeutic evaluation, with a median of 54 days from their diagnosis. In 58.3% of the cases the reflex testing was determined by viral load, the predominant genotype was 1a (30,7%) and 52,1% were treated, observing sustained viral response in 93.7% of these.
Conclusion:
The generalized implementation of the HCV reflex testing together with informative alerts in Galicia has allowed us to obtain referral rates for treatment similar to those obtained in other studies. However, there is a wide variability between the different centers that require the incorporation of improvements, such as training or the use of rescue measures for optimization.
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