Towards a Definition of Physiologic Vulnerability in Pediatric Spine Surgery: Identification of Key Risk Factors in a Cohort Study of Children With Neuromuscular Disease Undergoing Spinal Fusion

Study DesignRetrospective cohort study.ObjectivesPreoperative risk stratification using frailty is common for adults but difficult to apply to pediatric populations. We aimed to identify risk factors indicating physiologic vulnerability and predict perioperative complications in children with neuromuscular scoliosis (NMS) and to create a prediction model for physiological vulnerability (PV-5).MethodsPatients with NMS were identified from the American College of Surgeons National Surgical Quality Improvement Program Pediatric database. The 9442 patients identified were randomly divided into training and testing cohorts. Univariate and multivariable logistic regression were performed; variables significantly associated with complications were evaluated using the Akaike information criterion and area under the curve. Significant variables received weighted scores, and a patient-specific prediction model was generated and evaluated using the Brier score.ResultsPatients with central nervous system abnormality (OR 1.32 [95%CI 1.13-1.53]), hematologic disorder (OR 1.40 [1.06-1.85]), congenital malformation (OR 1.30 [1.1-1.54]), nutritional support (OR 2.21 [1.91-2.57]), and preoperative wound infection (OR 2.3 [1.4-3.76]) were more likely to develop complications after spinal fusion surgery. PV-5 scores were calculated from these risk factors to generate a prediction model. PV-5 scores of 1 (OR: 2.0 [1.27-3.43], <i>P</i> < 0.004), 2 (OR: 2.75 [1.63-4.64], <i>P</i> < 0.001), 3 (OR: 3.67 [2.18-6.19], <i>P</i> < 0.001), 4 (OR: 4.09 [2.39-6.99], <i>P</i> < 0.001), and 5+ (OR: 3.58 [1.35-9.47], <i>P</i> = 0.01) predicted greater complication risk than PV-5 of zero (accuracy = 89.65%, Brier score = 0.09).ConclusionsUsing factors associated with complications in children with NMS undergoing spinal fusion surgery, we created a prediction model to illustrate physiologic vulnerability and morbidity. Our model serves as a foundation for further body system-specific investigation.

Authors

Institutions

Publication Details

Journal
Global Spine Journal
Published
2025-05-26
DOI
https://doi.org/10.1177/21925682251344928
Primary Topic
Frailty in Older Adults
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Towards a Definition of Physiologic Vulnerability in Pediatric Spine Surgery: Identification of Key Risk Factors in a Cohort Study of Children With Neuromuscular Disease Undergoing Spinal Fusion

Rajiv R. Iyer, Jennifer M. Bauer, Vijay M. Ravindra, Christopher Pearson Ames et al.
Global Spine Journal
Frailty in Older Adults
article

Towards a Definition of Physiologic Vulnerability in Pediatric Spine Surgery: Identification of Key Risk Factors in a Cohort Study of Children With Neuromuscular Disease Undergoing Spinal Fusion

Rajiv R. Iyer, Jennifer M. Bauer, Vijay M. Ravindra, Christopher Pearson Ames, Peter O. Newton, Muhammad S Ghauri, Lauren E. Stone, Sujay Rajkumar, Michael P. Kelly, David Gonda, Michael L. Levy
article en

Abstract

Study DesignRetrospective cohort study.ObjectivesPreoperative risk stratification using frailty is common for adults but difficult to apply to pediatric populations. We aimed to identify risk factors indicating physiologic vulnerability and predict perioperative complications in children with neuromuscular scoliosis (NMS) and to create a prediction model for physiological vulnerability (PV-5).MethodsPatients with NMS were identified from the American College of Surgeons National Surgical Quality Improvement Program Pediatric database. The 9442 patients identified were randomly divided into training and testing cohorts. Univariate and multivariable logistic regression were performed; variables significantly associated with complications were evaluated using the Akaike information criterion and area under the curve. Significant variables received weighted scores, and a patient-specific prediction model was generated and evaluated using the Brier score.ResultsPatients with central nervous system abnormality (OR 1.32 [95%CI 1.13-1.53]), hematologic disorder (OR 1.40 [1.06-1.85]), congenital malformation (OR 1.30 [1.1-1.54]), nutritional support (OR 2.21 [1.91-2.57]), and preoperative wound infection (OR 2.3 [1.4-3.76]) were more likely to develop complications after spinal fusion surgery. PV-5 scores were calculated from these risk factors to generate a prediction model. PV-5 scores of 1 (OR: 2.0 [1.27-3.43], <i>P</i> < 0.004), 2 (OR: 2.75 [1.63-4.64], <i>P</i> < 0.001), 3 (OR: 3.67 [2.18-6.19], <i>P</i> < 0.001), 4 (OR: 4.09 [2.39-6.99], <i>P</i> < 0.001), and 5+ (OR: 3.58 [1.35-9.47], <i>P</i> = 0.01) predicted greater complication risk than PV-5 of zero (accuracy = 89.65%, Brier score = 0.09).ConclusionsUsing factors associated with complications in children with NMS undergoing spinal fusion surgery, we created a prediction model to illustrate physiologic vulnerability and morbidity. Our model serves as a foundation for further body system-specific investigation.

Global Spine JournalVol. 16(1)
Seattle Children's Hospital (US), Primary Children's Hospital (US), University of California, San Francisco (US), University of Washington (US), University of Utah (US), University of California System (US), University of California San Diego (US), Rady Children's Hospital-San Diego (US), Neurological Surgery (US), Drexel University (US)
Zero hunger
Openalex Percentile: Top 87%
Frailty in Older Adults
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.