Literature DB >> 31992857

The use of classification and regression tree analysis to identify the optimal surgical timing for improving neurological outcomes following motor-complete thoracolumbar traumatic spinal cord injury.

Julien Goulet1,2,3, Andréane Richard-Denis1,2,3, Jean-Marc Mac-Thiong4,5,6.   

Abstract

STUDY
DESIGN: Observational cohort study.
OBJECTIVES: To identify the optimal surgical timing for improving neurological outcomes in patients that sustained a motor-complete traumatic spinal cord injury (TSCI) secondary to a thoracolumbar injury.
SETTING: Level 1 trauma center specialized in TSCI care.
METHODS: We prospectively analyzed clinical data of 35 patients admitted for motor-complete TSCI secondary to a thoracolumbar injury. We quantified neurological recovery with three different outcomes: the improvement of at least one grade on the American Spinal Injury Association Impairment Scale (AIS), of at least one neurological level of injury (NLI), and of at least 10-points on the motor score (MS). Classification and regression tree analysis was used to identify outcome predictors and to provide cutoff values of surgical timing associated with recovery.
RESULTS: The proportion of the patients improving by at least one AIS grade was higher in the group undergoing early surgery within 25.7 h of the TSCI (46% vs 0%). The proportion of patients that improved by at least one NLI was also higher in the group undergoing early surgery within 21.5 h of the TSCI (71% vs 18%). Lastly, 25% of the AIS grade A patients undergoing early surgery within 25.6 h of the TSCI improved 10 MS points or more as compared with 0% in the other group.
CONCLUSIONS: Earlier surgery was effective in improving neurological outcome in motor-complete TSCI at the thoracolumbar levels. Performing surgery within 21.5 h from the traumatic event in these patients increases the likelihood of improving the neurological recovery. SPONSORSHIP: This study was supported by the Fonds de Recherche du Québec-Santé (FRQS), Department of the Army-United States Army Medical Research Acquisition Activity, Rick Hansen Spinal Cord Injury Registry and Medtronic research chair in spinal trauma at Université de Montréal.

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Mesh:

Year:  2020        PMID: 31992857     DOI: 10.1038/s41393-020-0412-z

Source DB:  PubMed          Journal:  Spinal Cord        ISSN: 1362-4393            Impact factor:   2.772


  1 in total

1.  Current use and timing of spinal surgery for management of acute spinal surgery for management of acute spinal cord injury in North America: results of a retrospective multicenter study.

Authors:  C H Tator; M G Fehlings; K Thorpe; W Taylor
Journal:  J Neurosurg       Date:  1999-07       Impact factor: 5.115

  1 in total
  1 in total

1.  XGBoost, a Machine Learning Method, Predicts Neurological Recovery in Patients with Cervical Spinal Cord Injury.

Authors:  Tomoo Inoue; Daisuke Ichikawa; Taro Ueno; Maxwell Cheong; Takashi Inoue; William D Whetstone; Toshiki Endo; Kuniyasu Nizuma; Teiji Tominaga
Journal:  Neurotrauma Rep       Date:  2020-07-23
  1 in total

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