A nomogram for predicting cerebral white matter lesions in elderly men
Yi-Feng Pei1, Xian-Dong Li1, Quan-Ying Liu1
1Department of Neurology, General Hospital of Northern Theater Command, Shenyang, China.
Frontiers in Neurology
|May 16, 2024
Summary
A new nomogram tool effectively predicts cerebral white matter lesions (WMLs) in elderly men. This validated tool uses factors like age and cholesterol to identify individuals at high risk, aiding early intervention strategies.
Area of Science:
- Neurology
- Geriatrics
- Medical Diagnostics
Background:
- Cerebral white matter lesions (WMLs) are common in elderly individuals.
- Predicting WMLs is crucial for managing neurological health in aging populations.
Purpose of the Study:
- To develop and validate a nomogram for predicting WMLs in elderly men.
- To identify key clinical factors associated with WML development.
Main Methods:
- Retrospective cohort study with training (n=436) and validation (n=163) groups.
- Multivariate logistic analysis to identify predictors of WMLs.
- Nomogram construction and evaluation using ROC curves, calibration plots, and decision curve analysis (DCA).
Main Results:
- Age, cystatin C, uric acid, total cholesterol, platelet count, and antiplatelet drug use were significant predictors of WMLs.
- The nomogram demonstrated excellent predictive power (AUC 0.951 in training, 0.915 in validation).
- The nomogram showed good calibration and clinical utility via DCA.
Conclusions:
- A validated nomogram tool for predicting WMLs in elderly men has been developed.
- The nomogram exhibits high predictive accuracy, discrimination, and calibration.
- This tool can aid in identifying high-risk individuals for targeted interventions.
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