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Prediction Model for Neurogenic Bladder Recovery One Year After Traumatic Spinal Cord Injury.

Sally El Sammak1, Giorgos D Michalopoulos1, Namrata Arya2

  • 1Department of Neurologic Surgery, Mayo Clinic Neuro-Informatics Laboratory, Mayo Clinic, Rochester, Minnesota, USA; Department of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota, USA.

World Neurosurgery
|August 23, 2023
PubMed
Summary
This summary is machine-generated.

A prediction model for neurogenic bladder recovery after spinal cord injury (SCI) was developed. The model accurately predicts bladder function recovery within one year, aiding patient management and research.

Keywords:
Neurogenic bladderPatient outcomesPrediction modelSpinal cord injury

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Area of Science:

  • Neuroscience
  • Urology
  • Rehabilitation Medicine

Background:

  • Neurogenic bladder is a frequent and burdensome complication following spinal cord injury (SCI).
  • Predicting bladder recovery is crucial for managing patients with SCI.

Purpose of the Study:

  • To develop a predictive model for neurogenic bladder recovery one year after traumatic SCI.
  • To identify key baseline parameters associated with complete bladder function recovery.

Main Methods:

  • Utilized the National Spinal Cord Injury Model Systems database for patients with traumatic SCI.
  • Developed a multivariable logistic regression model using imputed data for complete bladder recovery at one year.
  • Included baseline parameters such as sacral sensation, ASIA impairment score, and bowel function.

Main Results:

  • Identified 2515 patients with abnormal bladder function at baseline; 16.6% recovered function within one year.
  • Key predictors of recovery included sacral sensation, ASIA score, bowel function, sphincter contraction, anal sensation, S1 motor scores, and rehabilitation duration.
  • The prediction model demonstrated a high discriminative capacity of 90.5%.

Conclusions:

  • A robust prediction model for one-year neurogenic bladder recovery post-SCI was successfully developed.
  • The model exhibits significant predictive power, offering utility in patient counseling, research, and clinical management.
  • This tool can aid in optimizing care strategies for individuals with SCI.