An accessible, non-invasive tool for endometriosis diagnosis reveals an association between age at symptom onset and endometriosis symptom prevalence.

ABSTRACT:

Objective

To determine what symptom differences are prevalent in patients with differing ages of endometriosis symptom onset.

Material and methods

We obtained clinical and demographic data from 1560 individuals with suspected pelvic conditions undergoing laparoscopy from the Endometriosis Patient Registry at Ponce Health Science University-Ponce Research Institute. We then generated predictive models by fitting logistic regressions to the patient data. We determined association between symptoms and age at symptom onset in patients with endometriosis by generating predictive linear and multinomial logistic regression models.

Results

Our best model had an accuracy of 81.76%, with a sensitivity of 89.32% and a specificity of 64.57% at an optimal threshold of 0.75. Classi

SUBMITTER: Samanta N 

PROVIDER: S-EPMC12490783 | biostudies-literature | 2024 Jun

REPOSITORIES: biostudies-literature