Erratum to Surgical Risk Stratification Based on Preoperative Risk Factors in Severe Pediatric Spinal Deformity Surgery [Spine Deformity 2 (2014) 340-349].

The corresponding author regret that co-author name was incorrectly published as "Elias C. Papadopoulus" in the article. The correct name of the author should be displayed as "Elias C. Papadopoulos".

Erratum to Incidence and Risk Factors for Major Surgical Complications in Patients With Complex Spinal Deformity: A Report From an SRS GOP Site [Spine Deformity 3 (2015) 57-64].

The corresponding author regret that co-author name was incorrectly published as "Elias C. Papadopoulus" in the article. The correct name of the author should be displayed as "Elias C. Papadopoulos".

Incidence and Risk Factors for Major Surgical Complications in Patients With Complex Spinal Deformity: A Report From an SRS GOP Site.

STUDY DESIGN: Retrospective analysis of a prospectively collected single-center database. OBJECTIVES: To report the incidence of and identify risk factors for perioperative complications in surgically treated pediatric and adult patients with complex spine deformities in an underserved region and Scoliosis Research Society Global Outreach Program site. SUMMARY OF BACKGROUND DATA: Surgical treatment for complex spinal deformity is challenging and requires a multidisciplinary approach for optimal management. The incidence and risk factors for major perioperative complications in outreach sites with limited resources are unknown. METHODS: A total of 427 consecutive patients who underwent instrumented spinal fusion for complex spinal deformities were reviewed. Clinical, radiographic, and demographic data were reviewed at preoperative and postoperative time points, and potential risk factors for perioperative complications were assessed. The authors performed multivariate logistic regression analysis (LRA) to determine independent risk factors for postoperative complications and neurological deficits. RESULTS: Major complications were seen in 85 cases, which consisted of neurologic deficits (n = 27; 17 transient and 10 permanent), wound infections (n = 17), implant-related problems (n = 35), progressive deformity (n = 13), and death (n = 6). Among the possible risk factors, univariate LRA indicated 3-column osteotomies as a risk factor for postoperative major complications and multivariate LRA indicated 3-column osteotomies as an independent risk factor for neurological deficit. Curves 100° and above were at higher risk for complications. CONCLUSIONS: Postoperative complications were seen in 20% of surgically treated patients with complex spine deformities at a Scoliosis Research Society SRS Global Outreach Program site. Three-column osteotomies were identified as an independent risk factor of both postoperative complications and neurological deficits. The significant observed correlation of 3-column osteotomies and postoperative neurological deficits should serve as a guide for surgeons in the preoperative planning and management of severe spinal deformities, especially in locations with limited resources. Patients undergoing correction of large curves may also have a higher complication rate.

Surgical Risk Stratification Based on Preoperative Risk Factors in Severe Pediatric Spinal Deformity Surgery.

STUDY DESIGN: Retrospective review. OBJECTIVE: The purpose of this study is to review the postoperative complications in pediatric patients undergoing spine surgery and to establish a preoperative classification that stratifies surgical risk and case difficulty. SUMMARY OF BACKGROUND DATA: Pediatric spinal deformity (PSD) surgery can be challenging technically as well as economically. Often, a multidisciplinary approach to managing these patients is necessary. In an environment where resources are limited, such as in global outreach efforts, a method for stratifying PSD surgical cases can be useful for allocating appropriate resources and assigning appropriate skill sets in order to optimize patient outcomes and to streamline efforts. MATERIALS AND METHODS: A total of 145 consecutive PSD patients who underwent instrumented spinal fusion were reviewed. Radiographic measurements and demographic data were reviewed. A classification was established based on the curve magnitude, etiology, ASA grade, number of levels fused, the preoperative neurologic status, body mass index and type of osteotomies. Multiple regression analysis (MRA) and logistic regression analysis (LRA) were applied to indicate risk factors for complications. RESULTS: The average age was 14.3 years (10-20 years). The etiology was idiopathic scoliosis (n = 71), congenital scoliosis (n = 38), infectious (n = 11), and others. 23 patients had neurologic deficits preoperatively. Twenty-three patients had a posterior vertebral column resection. Patients were classified as Level 1 (n = 5), Level 2 (n = 19), Level 3 (n = 24), Level 4 (n = 58), and Level 5 (n = 39). Intraoperative neuro-monitoring changes were observed in 46 cases. Major complications were seen in 45 cases. A major complication consisted of implant related (n = 13), deep wound infection (n = 8), neurologic deficit (n = 7), death (n = 2), and others (n = 9). MRA demonstrated a significant correlation between classified level and %EBL/TBV, operative time, and complication rate. The risk level predicted the occurrence of general (odds ratio [OR] = 1.54; 95% confidence interval [CI] = 1.08-2.21; p = .019) and neurologic (OR = 3.34; 95% CI = 1.06-17.70; p = .036) complications. Osteotomy and resection procedures were independent predictors for postoperative neurologic complications (OR = 1.7, 95% CI = 1.11-2.85; p = .015). CONCLUSION: Corrective spine surgery for complex pediatric deformity is challenging and carries a substantial risk. No single parameter appears to independently predict postoperative complications. However, when all risk factors are considered, there is a trend toward increased intraoperative electromonitoring change and postoperative neurologic risk with the higher level score in our classification. The newly established surgical risk stratification based on patient-specific clinical and radiographic factors can guide surgeons in their preoperative planning and surgical management of severe spine deformity in order to achieve optimal outcomes.