Predicting Clinical Outcomes Following Surgical Correction of Adult Spinal Deformity. Issue 3 (5th June 2018)

• Record Type: Journal Article
• Authors: Sharma, Akshay; Tanenbaum, Joseph E; Hogue, Olivia; Mehdi, Syed; Vallabh, Sagar; Hu, Emily; Benzel, Edward C; Steinmetz, Michael P; Savage, Jason W
• Is Part Of: Neurosurgery. Volume 84:Issue 3(2019)
• Page Start: 733
• Page End: 740
• Publication Date: 2018-06-05
• Subjects: Deformity -- Nomogram -- Outcomes -- Scoliosis -- Predictive modeling -- Spinal Fusion -- Quality of life; Nervous system -- Surgery -- Periodicals; 617.48005
• DOI: 10.1093/neuros/nyy190
• Languages: English
• ISSNs: 0148-396X

Abstract

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.