Nomogram models to predict low fertilisation rate and total fertilisation failure in patients undergoing conventional IVF cycles.
Nomogram models to predict low fertilisation rate and total fertilisation failure in patients undergoing conventional IVF cycles.
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DOI：
10.1136/bmjopen-2022-067838
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发表时间：
2022-11-25
期刊：
影响因子：
2.9
通讯作者：
中科院分区：
文献类型：
--
作者：
建立常规体外受精（IVF）周期患者低受精率（LFR）和完全受精失败（TFF）的可视化预测模型。回顾性队列研究。2017年8月至2021年8月的数据收集自中国四川省一家大型妇产科医院的电子记录。共纳入了11598例接受首次IVF周期的合格患者。所有患者按7：3的比例随机分为训练组（n=8129）和验证组（n=3469）。LFR和TFF的发生率。Logistic回归分析显示，促排卵方案、原发不孕和初始前向精子运动能力是LFR的独立预测因素，而注射人绒毛膜促性腺激素前血清促黄体生成素、P水平和获卵数是TFF的关键预测因素。并将这些指标纳入诺模图模型。根据曲线下面积，训练集对LFR和TFF的预测能力分别为0.640和0.899，验证集为0.661和0.876。校准曲线还显示出训练组和验证组中实际概率和预测概率之间的良好一致性。新的诺模图模型为临床医生预测传统IVF周期的LFR和TFF提供了有效的方法。
To establish visualised prediction models of low fertilisation rate (LFR) and total fertilisation failure (TFF) for patients in conventional in vitro fertilisation (IVF) cycles. A retrospective cohort study. Data from August 2017 to August 2021 were collected from the electronic records of a large obstetrics and gynaecology hospital in Sichuan, China. A total of 11 598 eligible patients who underwent the first IVF cycles were included. All patients were randomly divided into the training group (n=8129) and the validation group (n=3469) in a 7:3 ratio. The incidence of LFR and TFF. Logistic regressions showed that ovarian stimulation protocol, primary infertility and initial progressive sperm motility were the independent predictors of LFR, while serum luteinising hormone and P levels before human chorionic gonadotropin injection and number of oocytes retrieved were the critical predictors of TFF. And these indicators were incorporated into the nomogram models. According to the area under the curve values, the predictive ability for LFR and TFF were 0.640 and 0.899 in the training set and 0.661 and 0.876 in the validation set, respectively. The calibration curves also showed good concordance between the actual and predicted probabilities both in the training and validation group. The novel nomogram models provided effective methods for clinicians to predict LFR and TFF in traditional IVF cycles.
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DOI：
10.1097/00001703-200306000-00001
发表时间：
2003-06-01
影响因子：
2.1
作者：
Mahutte, NG;Arici, A
通讯作者：
Arici, A
影响因子：
6.1
作者：
Fauser, BCJM;Chang, J;Lobo, R
通讯作者：
Lobo, R
影响因子：
3.1
作者：
Harris, A. L.;Vanegas, J. C.;Styer, A. K.
通讯作者：
Styer, A. K.
影响因子：
6.7
作者：
Repping, S;van Weert, JM;van der Veen, F
通讯作者：
van der Veen, F
影响因子：
5.2
作者：
Tian, Tian;Chen, Lixue;Yang, Rui;Long, Xiaoyu;Li, Qin;Hao, Yongxiu;Kong, Fei;Li, Rong;Wang, Yuanyuan;Qiao, Jie
通讯作者：
Qiao, Jie