Nomogram models to predict low fertilisation rate and total fertilisation failure in patients undergoing conventional IVF cycles.

ABSTRACT:

Objectives

To establish visualised prediction models of low fertilisation rate (LFR) and total fertilisation failure (TFF) for patients in conventional in vitro fertilisation (IVF) cycles.

Design

A retrospective cohort study.

Setting

Data from August 2017 to August 2021 were collected from the electronic records of a large obstetrics and gynaecology hospital in Sichuan, China.

Participants

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.

Primary outcome measure

The incidence of LFR and TFF.

Results

Logistic regressions showed that ovarian stimulation protocol, primary infertility and initial pro

SUBMITTER: Wang Q 

PROVIDER: S-EPMC9703318 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature