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- Luigi Falzetti, Cristiana Griffoni, Elisa Carretta, Andrea Pezzi, Annalisa Monetta, Carlotta Cavallari, Riccardo Ghermandi, Giuseppe Tedesco, Silvia Terzi, Stefano Bandiera, Gisberto Evangelisti, Marco Girolami, Valerio Pipola, Giovanni Tosini, Luigi Emanuele Noli, Alessandro Gasbarrini, and Giovanni Barbanti Brodano.
- Department of Spine Surgery, IRCCS Istituto Ortopedico Rizzoli, Bologna, Italy.
- Eur Spine J. 2024 Mar 1; 33 (3): 102810431028-1043.
PurposeIn this study, we analyzed the use of a validated capture system (Spinal Adverse Events Severity system, SAVES V2) as a first non-technical skill to properly face the relevant problem of surgical complications (SCs) and adverse events (AEs) in spinal surgery.MethodsWe retrospectively collected AEs occurring in a tertiary referral center for spine surgery from January 2017 to January 2018 and classified them according to SAVES V2 system. We compared this collection of AEs with a prospective collection performed without any classification system. Univariate and multivariate logistic regression models were used to determined odds ratio (ORs) for selected potential risk factors of AEs and prolonged length of stay.ResultsOverall a higher number of AEs was retrospectively recorded using SAVES system compared to the prospective recording without the use of any capture system (97/336 vs 210/336, p < 0.001). The length of stay (LOS) increased in the group of complicated patients for all the procedures examined. In the non-oncological group, LOS was significantly higher for complicated patients compared to uncomplicated patients (F = 44.11, p = 0.0000). Similar results have been obtained in the oncological group of patients. In the multivariate regression model surgical time and postoperative AEs emerged as risk factors for prolonged LOS, while only the presence of previous surgeries was confirmed as risk factor for AEs.ConclusionConsidering that the rate of AEs and SCs in spinal surgery is still high despite the improvement of technical skills, we suggest the use of SAVES V2 capture system as a first-line tool to face the problem.© 2024. The Author(s).
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