An online tool for predicting ovarian reserve based on AMH level and age: A retrospective cohort study.

ABSTRACT:

Purpose

To establish a more convenient ovarian reserve model with anti-Müllerian hormone (AMH) level and age (the AA model), with blood samples taken at any time in the menstrual cycle.

Methods

We have established this AA model for predicting ovarian reserve using the AMH level and age. The outcome variable was defined as poor ovarian response (POR) with <5 oocytes retrieved during assisted reproductive technology treatment cycles. Least Absolute Shrinkage and Selection Operator logistic regression with 5-fold cross validation methods was applied to construct the model, and that with the lowest scaled log-likelihood was selected as the final one.

Results

The areas under the receiver operating characteristic curve for the training, inner, and external validation sets w

SUBMITTER: Han Y 

PROVIDER: S-EPMC9353219 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature