Related Experiment Video
Updated: Apr 30, 2026
07:22
Measuring the Motor Aspect of Cancer-Related Fatigue using a Handheld Dynamometer
Published on: February 20, 2020
5.4K
A multicenter clinical nomogram for predicting post-stroke fatigue: development and validation
Xiaoqing Tao1, Shan Wang2, Li Pang1
1Department of Neurology, Beijing Anzhen Nanchong Hospital of Capital Medical University & Nanchong Central Hospital, Nanchong, Sichuan, China.
Frontiers in Neurology
|April 29, 2026
Summary
Post-stroke fatigue (PSF) prediction is improved by a new nomogram identifying key risk factors like lesion location and inflammation markers. This tool aids early identification of high-risk patients for timely intervention.
Area of Science:
- Neurology
- Medical Diagnostics
- Biostatistics
Background:
- Post-stroke fatigue (PSF) is a prevalent and debilitating complication following stroke.
- The underlying pathophysiological mechanisms of PSF are not fully understood.
- Reliable tools for predicting PSF are currently lacking.
Purpose of the Study:
- To identify clinical and laboratory risk factors associated with PSF.
- To develop and validate a predictive nomogram for early PSF detection.
Main Methods:
- Retrospective cohort study involving 846 stroke patients.
- Data included demographics, clinical information, imaging, and laboratory results.
- LASSO and logistic regression models were used to construct and validate a nomogram.
Main Results:
- Eight independent predictors for PSF were identified: specific lesion locations (brainstem, basal ganglia, thalamus), female sex, older age, mRS score, WBC count, and CRP level.
- The developed nomogram demonstrated good predictive performance across training, internal, and external validation sets (AUCs ranging from 0.672 to 0.870).
- The model showed good calibration and clinical utility.
Conclusions:
- A clinically applicable nomogram for early PSF prediction was successfully developed.
- The nomogram utilizes routinely available data, facilitating its integration into clinical practice.
- This tool can assist in identifying high-risk individuals, enabling prompt therapeutic interventions.
