Abstract
Purpose
ASD surgery improves a patient’s health-related quality of life, but it has a high complication rate. The aim of this study was to create a predictive model for complications after surgical treatment for adult spinal deformity (ASD), using spinal alignment, demographic data, and surgical invasiveness.
Methods
This study included 195 surgically treated ASD patients who were > 50 years old and had 2-year follow-up from multicenter database. Variables which included age, gender, BMI, BMD, frailty, fusion level, UIV and LIV, primary or revision surgery, pedicle subtraction osteotomy, spinal alignment, Schwab-SRS type, surgical time, and blood loss were recorded and analyzed at least 2 years after surgery. Decision-making trees for 2-year postoperative complications were constructed and validated by a 7:3 data split for training and testing. External validation was performed for 25 ASD patients who had surgery at a different hospital.
Results
Complications developed in 48% of the training samples. Almost half of the complications developed in late post-op period, and implant-related complications were the most common complication at 2 years after surgery. Univariate analyses showed that BMD, frailty, PSO, LIV, PI-LL, and EBL were risk factors for complications. Multivariate analysis showed that low BMD, PI-LL > 30°, and frailty were independent risk factors for complications. In the testing samples, our predictive model was 92% accurate with an area under the receiver operating characteristic curve of 0.963 and 84% accurate in the external validation.
Conclusion
A successful model was developed for predicting surgical complications. Our model could inform physicians about the risk of complications in ASD patients in the 2-year postoperative period.
Graphical abstract
These slides can be retrieved under Electronic Supplementary Material.
Similar content being viewed by others
References
Schwab F, Ungar B, Blondel B et al (2012) Scoliosis Research Society—Schwab adult spinal deformity classification: a validation study. Spine 37:1077–1082
Soroceanu A, Burton DC, Oren JH et al (2016) Medical complications after adult spinal deformity surgery: incidence, risk factors, and clinical impact. Spine 41:1718–1723
Terran J, Schwab F, Shaffrey CI et al (2013) The SRS-Schwab adult spinal deformity classification: assessment and clinical correlations based on a prospective operative and nonoperative cohort. Neurosurgery 73:559–568
Poorman GW, Passias PG, Buckland AJ et al (2017) Comparative analysis of peri-operative outcomes using nationally derived hospital discharge data relative to a prospective multi-center surgical database of adult spinal deformity surgery. Spine 42(15):1165–1171
Smith JS, Lafage V, Shaffrey CI et al (2016) Outcomes of operative and nonoperative treatment for adult spinal deformity: a prospective, multicenter, propensity-matched cohort assessment with minimum 2-year follow-up. Neurosurgery 78(6):851–856
DeWald CJ, Stanley T (2006) Instrumentation-related complications of multilevel fusions for adult spinal deformity patients over age 65: surgical considerations and treatment options in patients with poor bone quality. Spine 31:S144–S151
Yagi M, Hosogane N, Okada E et al (2014) Factors affecting the post operative progression of thoracic kyphosis in surgically treated adult patient with lumbar degenerative scoliosis. Spine 39:E521–E528
Yagi M, Rahm M, Gaines R et al (2014) Characterization and surgical outcomes of proximal junctional failure (PJF) in surgically treated adult spine deformity patients. Spine 39:E607–E614
Yagi M, King AB, Boachie-Adjei O (2012) Incidence, risk factors, and natural course of proximal junctional kyphosis: surgical outcomes review of adult idiopathic scoliosis. Minimum 5 years of follow-up. Spine 37(17):1479–1489
Cho SK, Bridwell KH, Lenke LG et al (2010) Major complication in revision adult deformity surgery: risk factors and clinical outcomes with 2- to 7-year follow-up. Spine 37:489–500
Simon MJK, Halm HFH, Quante M (2018) Perioperative complications after surgical treatment in degenerative adult de novo scoliosis. BMC Musculoskelet Disord 19(1):10
Schwab FJ, Lafage V, Farcy JP et al (2008) Predicting outcome and complications in the surgical treatment of adult scoliosis. Spine 33(20):2243–2247
Lebude B, Yadla S, Albert T et al (2010) Defining “complications” in spine surgery: neurosurgery and orthopedic spine surgeons’ survey. J Spinal Disord Tech 23(8):493–500
Yagi M, Cunningham E, King A et al (2013) Long term clinical and radiographic outcomes of pedicle subtraction osteotomy for fixed sagittal imbalance: Does level of proximal fusion affect the outcome?—minimum 5 years follow-up. Spine Deform 1:123–131
Veeravagu A, Li A, Swinney C, Tian L et al (2017) Predicting complication risk in spine surgery: a prospective analysis of a novel risk assessment tool. J Neurosurg Spine 27(1):81–91
Mirza SK, Deyo RA, Heagerty PJ et al (2006) Towards standardized measurement of adverse events in spine surgery: conceptual model and pilot evaluation. BMC Musculoskelet Disord 7:53
Glassman SD, Bridwell K, Dimar JR et al (2005) The impact of positive sagittal balance in adult spinal deformity. Spine 30(18):2024–2029
Leven DM, Lee NJ, Kothari P et al (2017) Frailty index is a significant predictor of complications and mortality after surgery for adult spinal deformity. Spine 41(23):E1394–E1401
Cepeda MS, Boston R, Farrar JT et al (2003) Comparison of logistic regression versus propensity score when the number of events is low and there are multiple confounders. Am J Epidemiol 158(3):280–287
Charlson ME, Pompei P, Ales KL et al (1987) A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis 40(5):373–383
Adams P, Ghanem T, Stachler R et al (2013) Frailty as a predictor of morbidity and mortality in inpatient head and neck surgery. JAMA Otolaryngol Head Neck Surg 139(8):783–789
Karam J, Tsiouris A, Shepard A et al (2013) Simplified frailty index to predict adverse outcomes and mortality in vascular surgery patients. Ann Vasc Surg 27(7):904–908
Scheer JK, Smith JS, Schwab F et al (2017) Development of a preoperative predictive model for major complications following adult spinal deformity surgery. J Neurosurg Spine 26(6):736–743
Abbott D (2014) Applied predictive analytics: principles and techniques for the professional data analyst, 1st edn. Wiley, Indianapolis
Yagi M, Fujita N, Okada E et al (2017) Fine-tuning the predictive model for proximal junctional failure in surgically treated patients with adult spinal deformity. Spine 43(11):767–773
Diebo BG, Gammal I, Ha Y et al (2018) Role of ethnicity in alignment compensation: propensity matched analysis of differential compensatory mechanism recruitment patterns for sagittal malalignment in 288 ASD patients from Japan, Korea, and United States. Spine 42(4):E234–E240
Glassman SD, Hamill CL, Bridwell KH et al (2007) The impact of perioperative complications on clinical outcome in adult deformity surgery. Spine 32:2764–2770
Pellisé F, Vila-Casademunt A, Núñez-Pereira S et al (2018) The Adult Deformity Surgery Complexity Index (ADSCI): a valid tool to quantify the complexity of posterior adult spinal deformity surgery and predict postoperative complications. Spine J 18(2):216–225
Buchlak QD, Yanamadala V, Leveque JC et al (2017) The Seattle spine score: predicting 30-day complication risk in adult spinal deformity surgery. J Clin Neurosci 43:247–255
Acknowledgements
This study was approved by the appropriate institutional review board.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The authors report no conflict of interest.
Electronic supplementary material
Below is the link to the electronic supplementary material.
Rights and permissions
About this article
Cite this article
Yagi, M., Hosogane, N., Fujita, N. et al. Predictive model for major complications 2 years after corrective spine surgery for adult spinal deformity. Eur Spine J 28, 180–187 (2019). https://doi.org/10.1007/s00586-018-5816-5
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00586-018-5816-5