LASSO Logistic Regression was Used to Analyze the Risk Factors for Cauda Equina Injury Secondary to Lumbar Spinal Stenosis and to Build a Risk Model

Age > 60 years, disease duration > 1 year, multiple stenosis segments, small median sagittal diameter, small cross-sectional area of the spinal canal, and shorter segment length are risk factors for secondary cauda equina injury in patients with lumbar spinal stenosis. The risk prediction model based on this nomogram has good clinical application value.

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Publication Details

Journal
Journal of Musculoskeletal and Neuronal Interactions
Published
2025-08-31
DOI
https://doi.org/10.22540/jmni-25-299
Primary Topic
Medical Imaging and Analysis
Type
article
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article

LASSO Logistic Regression was Used to Analyze the Risk Factors for Cauda Equina Injury Secondary to Lumbar Spinal Stenosis and to Build a Risk Model

Xuefeng Ma, Can Zheng, Yue Wu, He Xu et al.
Journal of Musculoskeletal and Neuronal Interactions
Medical Imaging and Analysis
article

LASSO Logistic Regression was Used to Analyze the Risk Factors for Cauda Equina Injury Secondary to Lumbar Spinal Stenosis and to Build a Risk Model

Xuefeng Ma, Can Zheng, Yue Wu, He Xu, Wenping Lin, Kai Liu, Pengfei Ma, Xinhua Hu
article en

Abstract

Age > 60 years, disease duration > 1 year, multiple stenosis segments, small median sagittal diameter, small cross-sectional area of the spinal canal, and shorter segment length are risk factors for secondary cauda equina injury in patients with lumbar spinal stenosis. The risk prediction model based on this nomogram has good clinical application value.

Journal of Musculoskeletal and Neuronal InteractionsVol. 25(3)
Shenzhen Pingle Orthopedic Hospital (CN)
Zero hunger
Openalex Percentile: Top 78%
Medical Imaging and Analysis
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LASSO Logistic Regression was Used to Analyze the Risk Factors for Cauda Equina Injury Secondary to Lumbar Spinal Stenosis and to Build a Risk Model — Xuefeng Ma, Can Zheng, et al. · Journal of Musculoskeletal and Neuronal Interactions (2025) | TGRS Research Map | TGRS