Do Publicly Available Risk Calculators Apply to Adult Spinal Deformity Surgery?
<b>Background/Objectives</b>: The American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) and SpineSage<sup>TM</sup> risk calculators are automated online tools to predict short-term complications for surgical procedures. The objective of this study was to assess the validity of ACS-NSQIP and SpineSage<sup>TM</sup> risk calculators to predict short-term complications after adult spinal deformity (ASD) surgery. <b>Methods</b>: We included ASD patients who had surgery between 2017 and 2020 (≥5 levels, single-stage, posterior-only). Patient factors were entered into the risk calculators to generate probabilities for 30-day outcomes. Calibration and discrimination were assessed using Brier scores and C-statistics, respectively. <b>Results</b>: A total of 198 patients were included (67 male, 131 female) who underwent posterior spinal fusion for ASD surgery. The ACS-NSQIP risk calculator had strong calibration for all complications (Brier score < 0.09) except non-home discharge (Brier score 0.2). Discrimination was poor for all complications except surgical site infection (C-statistic 0.86), venous thromboembolism (C-statistic 0.84), and readmission (C-statistic 0.7). The SpineSage<sup>TM</sup> risk calculator had strong calibration for all complications (Brier score < 0.09) aside from the "any complications" subset (Brier score 0.36). The discrimination capacity was poor for all complications (C-statistic < 0.7). <b>Conclusions</b>: The ACS-NSQIP calculator had strong calibration and poor discrimination for most complications. The SpineSage<sup>TM</sup> calculator had strong calibration for most complications and a poor discrimination capacity for all complications. NSQIP calculation deficits may be due to the reliance on a single CPT code to calculate risk. The deficient discriminatory capacity of the SpineSage<sup>TM</sup> calculator may be due to the inclusion of common perioperative occurrences as complications.
Authors
- Tejas Subramanian (ORCID: https://orcid.org/0000-0003-0323-6716)
- David Nam-Woo Kim (ORCID: https://orcid.org/0000-0002-1060-0750)
- Jerry Y. Du (ORCID: https://orcid.org/0000-0001-8309-0176)
- Izzet Akosman (ORCID: https://orcid.org/0000-0002-1433-9078)
- Yusef Jordan (ORCID: https://orcid.org/0000-0002-6363-6036)
- Jonathan Elysée (ORCID: https://orcid.org/0000-0002-7190-7692)
- Francis Lovecchio (ORCID: https://orcid.org/0000-0001-5236-1420)
- Justin Samuel (ORCID: https://orcid.org/0009-0004-6170-5220)
- Anthony Pajak (ORCID: https://orcid.org/0000-0002-5649-9459)
- Robert Merrill (ORCID: https://orcid.org/0000-0002-6181-3684)
- Pratyush Shahi (ORCID: https://orcid.org/0000-0003-4903-9697)
- Rachel L. Knopp (ORCID: https://orcid.org/0009-0007-2643-9758)
- Bo Zhang (ORCID: https://orcid.org/0000-0002-0607-6044)
- Han Jo Kim (ORCID: https://orcid.org/0000-0002-7482-6994)
- John C. Clohisy (ORCID: https://orcid.org/0000-0001-6695-506X)
Institutions
- Hospital for Special Surgery (US)
- UMass Memorial Health Care (US)
- University of Massachusetts Chan Medical School (US)
- Cornell University (US)
Publication Details
- Journal
- Journal of Clinical Medicine
- Published
- 2025-12-05
- DOI
- https://doi.org/10.3390/jcm14248618
- Primary Topic
- Scoliosis diagnosis and treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00