Literature DB >> 29873763

Predicting Clinical Outcomes Following Surgical Correction of Adult Spinal Deformity.

Akshay Sharma1,2,3, Joseph E Tanenbaum1,2,4, Olivia Hogue1,5, Syed Mehdi6, Sagar Vallabh1,2,4, Emily Hu1,2,4, Edward C Benzel1,3, Michael P Steinmetz1,3,7, Jason W Savage1,4.   

Abstract

BACKGROUND: Deformity reconstruction surgery has been shown to improve quality of life (QOL) in cases of adult spinal deformity (ASD) but is associated with significant morbidity.
OBJECTIVE: To create a preoperative predictive nomogram to help risk-stratify patients and determine which would likely benefit from corrective surgery for ASD as measured by patient-reported health-related quality of life (HRQoL).
METHODS: All patients aged 25-yr and older with radiographic evidence of ASD and QOL data that underwent thoracolumbar fusion between 2008 and 2014 were identified. Demographic and clinical parameters were obtained. The EuroQol 5 dimensions questionnaire (EQ-5D) was used to measure HRQoL preoperatively and at 12-mo postoperative follow-up. Logistic regression of preoperative variables was used to create the prognostic nomogram.
RESULTS: Our sample included data from 191 patients. Fifty-one percent of patients experienced clinically relevant postoperative improvement in HRQoL. Seven variables were included in the final model: preoperative EQ-5D score, sex, preoperative diagnosis (degenerative, idiopathic, or iatrogenic), previous spinal surgical history, obesity, and a sex-by-obesity interaction term. Preoperative EQ-5D score independently predicted the outcome. Sex interacted with obesity: obese men were at disproportionately higher odds of improving than nonobese men, but obesity did not affect odds of the outcome among women. Model discrimination was good, with an optimism-adjusted c-statistic of 0.739.
CONCLUSION: The predictive nomogram that we developed using these data can improve preoperative risk counseling and patient selection for deformity correction surgery.
Copyright © 2018 by the Congress of Neurological Surgeons.

Entities:  

Keywords:  Deformity; Nomogram; Outcomes; Predictive modeling; Quality of life; Scoliosis; Spinal Fusion

Mesh:

Year:  2019        PMID: 29873763     DOI: 10.1093/neuros/nyy190

Source DB:  PubMed          Journal:  Neurosurgery        ISSN: 0148-396X            Impact factor:   4.654


  1 in total

1.  Effects of preoperative spinopelvic compensation states on the patient-reported outcomes of adult spinal deformity surgery: three-dimensional motion analysis results.

Authors:  Dae-Woong Ham; Ho-Joong Kim; Sang-Min Park; Jiwon Park; Bong-Soon Chang; Juyoung Chung; Jin S Yeom
Journal:  Eur Spine J       Date:  2022-10-14       Impact factor: 2.721

  1 in total

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