Predictive nomogram for post-stroke motor dysfunction using fNIRS.

ABSTRACT:

Background

There is a lack of objective evaluation tools for assessing upper limb motor dysfunction in ischemic stroke patients (ULMD-IS). This study aimed to develop and validate a diagnostic nomogram for diagnosing the severity of ULMD-IS using functional near-infrared spectroscopy (fNIRS) data.

Methods

This retrospective analysis included 275 ULMD-IS patients at Tianjin Medical University General Hospital. Patients were randomly assigned to a training group (n = 193) or a validation group (n = 82). The data were preprocessed using HOMER2. In the training group, least absolute shrinkage and selection operator (LASSO) and multivariate logistic regression were employed to identify predictive variables and construct the nomogram. The nomogram's performance was v

SUBMITTER: Liu M 

PROVIDER: S-EPMC12711766 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature