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Hepatitis C Virus universal screening versus risk based selective screening during pregnancy.
Journal of Neonatal-Perinatal Medicine
|February 3, 2016
Summary
Universal screening for Hepatitis C virus (HCV) in pregnant women is more effective than risk-based screening. This approach better identifies HCV prevalence in high-risk urban settings.
Area of Science:
- Hepatology
- Infectious Diseases
- Maternal-Fetal Medicine
Background:
- Hepatitis C virus (HCV) infection poses risks during pregnancy.
- Current risk-based screening may underestimate HCV prevalence in pregnant populations.
- Accurate screening is crucial for maternal and infant health outcomes.
Purpose of the Study:
- To compare the effectiveness of universal versus risk-based screening for HCV in pregnant women.
- To evaluate the prevalence of HCV infection in pregnant women using different screening strategies.
- To assess the performance of a standard obstetrician screening questionnaire for HCV risk.
Main Methods:
- Prospective observational study conducted in a high-risk inner-city clinic from January to March 2012.
- Compared HCV antibody testing in 'low risk' pregnant women (universal screening) with 'high risk' pregnant women identified via a screening questionnaire (risk-based selective screening).
- Analyzed medical records and HCV antibody test results for 419 delivering women.
Main Results:
- The overall prevalence of HCV infection was 3.18% among all tested women.
- Risk-based selective screening identified only 0.95% prevalence, significantly underestimating the actual rate.
- The screening questionnaire demonstrated a sensitivity of 0.85 but a low specificity of 0.52, indicating poor discrimination.
Conclusions:
- Risk-based screening questionnaires significantly underestimate the true prevalence of HCV infection in pregnant women.
- Universal HCV screening is recommended for pregnant women, particularly in high-prevalence urban settings.
- Implementing universal screening can improve the detection and management of HCV in this vulnerable population.
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