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Date Published: 28/02/2026
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DOI: 10.56535/jmpm.v51i2.1800
Issue
Vol. 51 No. 2 (2026): JOURNAL OF MILITARY PHARMACO-MEDICINE No.2 - 2026
Section
Articles
How to Cite
Ngo, D. T., & Do, V. N. (2026). DEVELOPMENT OF A DYNAMIC NOMOGRAM FOR PREDICTING NEUROLOGICAL RECOVERY FOLLOWING TRAUMATIC CERVICAL SPINAL CORD INJURY. Journal of Military Pharmaco-medicine, 51(2), 219-227. https://doi.org/10.56535/jmpm.v51i2.1800

DEVELOPMENT OF A DYNAMIC NOMOGRAM FOR PREDICTING NEUROLOGICAL RECOVERY FOLLOWING TRAUMATIC CERVICAL SPINAL CORD INJURY

Dinh Trung Ngo1, , Van Nam Do1
1 Bệnh viện Trung ương Quân đội 108

Main Article Content

Abstract

Objectives: To develop a web-based dynamic nomogram for individualized prediction of neurological recovery at 1 year in patients undergoing surgery for traumatic cervical spinal cord injury (TCSCI). Methods: A retrospective, descriptive, single-center study was conducted on 206 patients with TCSCI who underwent surgery at 108 Military Central Hospital between January 2016 and June 2024. R software and a Shiny web application, a dynamic, interactive nomogram was developed based on a multivariable logistic regression model to predict neurological recovery after TCSCI. Results: The neurological recovery rate at 1 year was 46.6%. 6 variables were incorporated into the prognostic model, including age, degree of cervical spinal canal stenosis, spinal cord lesion length, surgery within 24 hours after injury, intensive care unit length of stay, and tracheostomy. The multivariable logistic regression model demonstrated excellent predictive performance with an AUC of 0.916. A dynamic nomogram for predicting neurological recovery has been developed and is accessible at https://dynnomogramsicu.shinyapps.io/DynomogramTSCI/. Conclusion: The dynamic nomogram derived from a multivariable logistic regression model enables individualized prediction of neurological recovery following TCSCI. This prognostic tool may guide therapeutic decision-making, support risk stratification, and optimize rehabilitation planning for surgically treated patients.

Keywords

Dynamic nomogram, Individualized prediction, Neurological recovery, Traumatic cervical spinal cord injury

Article Details

References

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