Prediction of Hepatitis C Virus Perinatal Transmission in Pregnant Individuals With Hepatitis C Virus Infection.

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Tác giả: Anna Bartholomew, Brian M Casey, Edward K Chien, Rebecca G Clifton, Yasser Y El-Sayed, William A Grobman, Kent D Heyborne, Brenna L Hughes, George A Macones, Torri D Metz, Samuel Parry, Mona Prasad, Uma M Reddy, George R Saade, Vishakha Sabharwal, Ashley Salazar, Grecio J Sandoval, Baha M Sibai, Hyagriv N Simhan, Geeta K Swamy, John M Thorp, Alan T N Tita, Ronald J Wapner

Ngôn ngữ: eng

Ký hiệu phân loại: 570.752 Preserving biological specimens

Thông tin xuất bản: United States : Obstetrics and gynecology , 2025

Mô tả vật lý:

Bộ sưu tập: NCBI

ID: 722407

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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