Development and validation of a diagnostic model for migraine without aura in inpatients.

ABSTRACT:

Objectives

This study aimed to develop and validate a robust predictive model for accurately identifying migraine without aura (MWoA) individuals from migraine patients.

Methods

We recruited 637 migraine patients, randomizing them into training and validation cohorts. Participant's medical data were collected such as demographic data (age, gender, self-reported headache characteristics) and clinical details including symptoms, triggers, and comorbidities. The model stability, which was developed using multivariable logistic regression, was tested by the internal validation cohort. Model efficacy was evaluated using the area under the receiver operating characteristic curve (AUC), alongside with nomogram, calibration curve, and decision curve analysis (DCA).

Results

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SUBMITTER: Chen ZH 

PROVIDER: S-EPMC11790451 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature