Summary
The aim of this case-control study was to develop a RSS to predict SSI in patients with EOS undergoing repetitive lengthening utilizing traditional growth instrumentation. 171 patients with an average age of 4.7 years at surgery were enrolled. The SSI rate was 22.8%. Syndromic etiology, pulmonary comorbidity, major curve magnitude >90, non-ambulatory status, high BMI, and pelvic instrumentation were prognostic of SSI. The models predictive ability was 74.0%, indicating this model’s utility in evidence-based guidance regarding surgical risks.
This is a preview of subscription content, log in via an institution to check access.
Additional information
Author disclosures: Michael Vitale: Stryker; Biomet; CSSG; SRS; POSNA; OREF; IPOS; POSNA; SSG; Wellinks; DePuy Synthes. Hiroko Matsumoto: None. Nicholas Feinberg: None. John Smith: Synthes; Biomet; Ellipse Technologies; Globus Medical; Spineguard. Amer Samdani: DePuy, A Johnson & Johnson Company; Ethicon; Globus Medical; Misonix; Stryker; Zimmer Biomet. Michael Glotzbecker: Depuy; Medtronic; Member of GSSG, CSSG, and HSG. Jeffrey Sawyer: Mosby; DePuy, A Johnson & Johnson Company; Nuvasive; Medicrea Spine; Wolters Kluwer Health — Lippincott Williams & Wilkins; POSNA; AAOS; Campbell Foundation. David Skaggs: Biomet Spine; Johnson & Johnson, Biomet; Medtronic; Zipline Medical, Inc.; Orthobullets; Grand Rounds Greensunmedical; Wolters Kluwer Health — Lippincott Williams & Wilkins, Spine Deformity and Journal of Children’s Orthopaedics: Editorial or Governing Board. David Roye: Medtronic; Stryker; JBJS.
Rights and permissions
About this article
Cite this article
Vitale, M., Matsumoto, H., Feinberg, N. et al. Paper #31: Development of a Risk Severity Score Predicting Surgical Site Infection in Early Onset Scoliosis. Spine Deform 4, 460–461 (2016). https://doi.org/10.1016/j.jspd.2016.09.036
Published:
Issue Date:
DOI: https://doi.org/10.1016/j.jspd.2016.09.036