Development and validation of a nomogram model for predicting unfavorable functional outcomes in ischemic stroke patients after acute phase.

ABSTRACT:

Introduction

Prediction of post-stroke functional outcome is important for personalized rehabilitation treatment, we aimed to develop an effective nomogram for predicting long-term unfavorable functional outcomes in ischemic stroke patients after acute phase.

Methods

We retrospectively analyzed clinical data, rehabilitation data, and longitudinal follow-up data from ischemic stroke patients who underwent early rehabilitation at multiple centers in China. An unfavorable functional outcome was defined as a modified Rankin Scale (mRS) score of 3-6 at 90 days after onset. Patients were randomly allocated to either a training or test cohort in a ratio of 4:1. Univariate and multivariate logistic regression analyses were used to identify the predictors for the development of a pre

SUBMITTER: Yan C 

PROVIDER: S-EPMC10375043 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature