Development and validation of non-invasive prediction models for migraine in Chinese adults.

ABSTRACT:

Background

Migraine is a common disabling neurological disorder with severe physical and psychological damage, but there is a lack of convenient and effective non-invasive early prediction methods. This study aimed to develop a new series of non-invasive prediction models for migraine with external validation.

Methods

A total of 188 and 94 subjects were included in the training and validation sets, respectively. A standardized professional questionnaire was used to collect the subjects' 9-item traditional Chinese medicine constitution (TCMC) scores, Pittsburgh Sleep Quality Index (PSQI) score, Zung's Self-rating Anxiety Scale and Self-rating Depression Scale scores. Logistic regression was used to analyze the risk predictors of migraine, and a series of prediction models for

SUBMITTER: Duan S 

PROVIDER: S-EPMC10626650 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature