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Peer-reviewedCC BYJournal of clinical medicine

Prediction of Postoperative Ambulatory Function Using Nomogram in Patients with Metastatic Epidural Spinal Cord Compression.

  1. 1Department of Spine Care, King Abdullah Medical City, Makkah 24246, Saudi Arabia.
  2. 2Department of Orthopedic Surgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, Republic of Korea.

Abstract

Background/Objectives: This study was conducted to develop and internally validate a nomogram that predicts postoperative ambulatory function in patients with metastatic epidural spinal cord compression (MESCC) undergoing decompressive surgery. Methods: Of 352 patients who underwent surgery for metastatic spinal cancer at a single tertiary center between 2014 and 2021, 97 with MESCC (Bilsky grade 2-3) and preoperative neurological deficits (ASIA grade D or worse) were included in this retrospective study. Binary logistic regression was used to identify candidate predictors of 3-month postoperative ambulatory status in the full cohort (p < 0.10 in univariable analysis), which were then entered into a multivariable logistic regression model and incorporated into a nomogram using the rms package in R. Model discrimination and calibration were internally validated using Harrell's bootstrap optimism-correction method with 1000 resamples. Results: Postoperative ambulation was regained in 24 patients (24.7%). Four variables met the prespecified threshold (p < 0.10) for inclusion in the nomogram: preoperative motor grade (OR 2.48; 95% CI 1.41-4.34; p = 0.002), symptom onset-to-operation interval (OR 0.81; 95% CI 0.62-1.04; p = 0.098), preoperative KPS (OR 1.04; 95% CI 1.00-1.07; p = 0.070), and age (OR 0.97; 95% CI 0.93-1.01; p = 0.087); in the multivariable model, only preoperative motor grade and symptom onset-to-operation interval were independently associated with ambulatory recovery (p < 0.05). The nomogram achieved an apparent AUC of 0.827 (optimism-corrected, 0.800) and acceptable-to-good calibration (optimism-corrected calibration slope, 0.848; intercept, -0.088). At the Youden-optimal threshold, apparent (optimism-corrected) sensitivity, specificity, and F1 score were 79.2% (74.5%), 78.1% (76.7%), and 64.4% (60.6%), respectively. Conclusions: The nomogram demonstrated acceptable discrimination and good calibration for predicting postoperative ambulation in patients with MESCC. This tool may support individualized surgical decision-making and patient counseling. External validation is required before routine clinical use.

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BibTeX
@article{alayed2026prediction,
  title = {{Prediction of Postoperative Ambulatory Function Using Nomogram in Patients with Metastatic Epidural Spinal Cord Compression.}},
  author = {Ibrahim S Alayed and Sehan Park and Dong-Ho Lee and Chang Ju Hwang and Sung Tan Cho and Jae Hwan Cho},
  journal = {Journal of clinical medicine},
  year = {2026},
  month = sep,
  doi = {10.3390/jcm15197459},
  url = {https://europepmc.org/article/MED/42881920},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Prediction of Postoperative Ambulatory Function Using Nomogram in Patients with Metastatic Epidural Spinal Cord Compression.
AU  - Ibrahim S Alayed
AU  - Sehan Park
AU  - Dong-Ho Lee
AU  - Chang Ju Hwang
AU  - Sung Tan Cho
AU  - Jae Hwan Cho
PY  - 2026
DA  - 2026/09/25
JO  - Journal of clinical medicine
DO  - 10.3390/jcm15197459
UR  - https://europepmc.org/article/MED/42881920
AB  - Background/Objectives: This study was conducted to develop and internally validate a nomogram that predicts postoperative ambulatory function in patients with metastatic epidural spinal cord compression (MESCC) undergoing decompressive surgery. Methods: Of 352 patients who underwent surgery for metastatic spinal cancer at a single tertiary center between 2014 and 2021, 97 with MESCC (Bilsky grade 2-3) and preoperative neurological deficits (ASIA grade D or worse) were included in this retrospective study. Binary logistic regression was used to identify candidate predictors of 3-month postoperative ambulatory status in the full cohort (p < 0.10 in univariable analysis), which were then entered into a multivariable logistic regression model and incorporated into a nomogram using the rms package in R. Model discrimination and calibration were internally validated using Harrell's bootstrap optimism-correction method with 1000 resamples. Results: Postoperative ambulation was regained in 24 patients (24.7%). Four variables met the prespecified threshold (p < 0.10) for inclusion in the nomogram: preoperative motor grade (OR 2.48; 95% CI 1.41-4.34; p = 0.002), symptom onset-to-operation interval (OR 0.81; 95% CI 0.62-1.04; p = 0.098), preoperative KPS (OR 1.04; 95% CI 1.00-1.07; p = 0.070), and age (OR 0.97; 95% CI 0.93-1.01; p = 0.087); in the multivariable model, only preoperative motor grade and symptom onset-to-operation interval were independently associated with ambulatory recovery (p < 0.05). The nomogram achieved an apparent AUC of 0.827 (optimism-corrected, 0.800) and acceptable-to-good calibration (optimism-corrected calibration slope, 0.848; intercept, -0.088). At the Youden-optimal threshold, apparent (optimism-corrected) sensitivity, specificity, and F1 score were 79.2% (74.5%), 78.1% (76.7%), and 64.4% (60.6%), respectively. Conclusions: The nomogram demonstrated acceptable discrimination and good calibration for predicting postoperative ambulation in patients with MESCC. This tool may support individualized surgical decision-making and patient counseling. External validation is required before routine clinical use.
SN  - 2077-0383
ER  -