医学
丙型肝炎病毒
传输(电信)
效价
怀孕
产科
丙型肝炎
观察研究
急诊分诊台
病毒学
儿科
病毒
免疫学
内科学
急诊医学
生物
遗传学
电气工程
工程类
作者
Grecio J. Sandoval,George R. Saade,Brenna L. Hughes,Rebecca G. Clifton,Uma M. Reddy,Anna Bartholomew,Ashley Salazar,Edward K. Chien,Alan Tita,John M. Thorp,Torri D. Metz,Ronald J. Wapner,Vishakha Sabharwal,Hyagriv N. Simhan,Geeta K. Swamy,Kent Heyborne,Baha M. Sibai,William A. Grobman,Yasser Y. El‐Sayed,Brian M. Casey
标识
DOI:10.1097/aog.0000000000005872
摘要
Our objective was to develop a prediction model for hepatitis C virus (HCV) infection perinatal transmission to improve triage for neonatal follow-up. This was a secondary analysis of HCV antibody–positive participants who were enrolled in the Eunice Kennedy Shriver National Institute of Child Health and Human Development Maternal-Fetal Medicine Units Network multicenter observational study of HCV infection in pregnancy. Among 432 participants, the perinatal transmission rate was 6.0% (95% CI, 4.0–8.7%). The prediction model was developed and included two factors: maternal HCV RNA titer greater than 10 6 international units/mL and having had any antepartum bleeding. Using this model, the area under the curve for perinatal transmission was 0.76 (95% CI, 0.67–0.86). Probabilities of perinatal transmission of HCV infection ranged from 1.5% (a pregnant individual with HCV RNA 10 6 international units/mL or less and no antepartum bleeding) to 28.5% (a pregnant individual with an HCV RNA titer greater than 10 6 international units/mL and antepartum bleeding). Our results provide data to aid in clinical counseling of pregnant individuals with positive HCV antibodies. Additional research is needed to externally validate this prediction model.
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