Zishen Yutai Pill increased live births in advanced maternal age women: a randomized clinical trial
Abstract
Abstract Advanced maternal age (AMA, ≥35 years) women undergoing assisted reproductive technology (ART) face reduced live birth rates (LBR) and remain a major clinical challenge. In a large randomized trial, Zishen Yutai Pill (ZYP) improved LBR in the general population, and a subsequent post hoc analysis suggested efficacy in AMA women, though it was underpowered to draw firm conclusions. To address the issue, we conducted a multicenter, prospective, double-blind, placebo-controlled, randomized trial (NCT03703700) to evaluate whether ZYP increases LBR in AMA women. Women aged 35-42 years with BMI < 28 kg/m 2 at 12 tertiary-level hospitals in China were randomly assigned to receive ZYP or placebo orally (5 g once, three times daily) from day 19-23 of the preceding menstrual cycle until 2 weeks after embryo transfer, continuing to 5 weeks post transfer if biochemical pregnancy was confirmed. The primary outcome was fresh-cycle LBR. A total of 1467 participants (734 ZYP, 733 placebo) were enrolled. In the intention-to-treat analysis, live birth occurred in 23.3% (171/734) with ZYP vs. 19.0% (139/733) with placebo (relative ratio 1.23 [95% CI, 1.01-1.50]; absolute difference 4.3% [95% CI, 0.2-8.5]; P = 0.042). This study showed that Zishen Yutai Pill increased live birth rates in women aged 35–42 undergoing IVF, without elevating the risk of maternal or neonatal adverse events. (NCT03703700, https://clinicaltrials.gov/study/NCT03703700 )
Article Details
Authors (14)
Yu Li
Fei Gong
Institute of Functional Nano & Soft Materials (FUNSOM), Jiangsu Key Laboratory for Carbon-Based Functional Materials and Devices
Xiaohong Wang
Department of Ophthalmology, Tianjin Medical University General Hospital, International Joint Laboratory of Ocular Diseases (Ministry of Education), State Key Laboratory of Experimental Hematology, Tianjin Key Laboratory of Ocular Trauma, Laboratory of Molecular Ophthalmology, Tianjin Medical University
Linli Hu
Hong Li
Yichun Guan
Hong Ye
Li Fan
Haiyan Bai
Ze Wang
Wei Huang
Xiaoling Ma
Dongzi Yang
Heping Zhang
Department of Biostatistics, Yale University