Browsing by Author "Núñez-Pereira, Susana"

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    ItemOpen Access
    Development and Validation of a Multidomain Surgical Complication Classification System for Adult Spinal Deformity.
    (Spine, 2021-02) Klineberg, Eric O; Wick, Joseph B; Lafage, Renaud; Lafage, Virginie; Pellise, Ferran; Haddad, Sleiman; Yilgor, Caglar; Núñez-Pereira, Susana; Gupta, Munish; Smith, Justin S; Shaffrey, Christopher; Schwab, Frank; Ames, Christopher; Bess, Shay; Lewis, Stephen; Lenke, Lawrence G; Berven, Sigurd; International Spine Study Group

    Study design

    Prospective analysis of example cases.

    Objective

    The aim of this study was to analyze the accuracy and repeatability of a new comprehensive classification system for capturing complications data in adult spinal deformity.

    Summary of background data

    Complications are common in adult spinal deformity surgery. However, no consensus exists on the definition or classification of complications in adult spinal deformity surgery. The lack of consensus significantly limits understanding of complications' effects on outcomes in surgery for adult spinal deformity.

    Methods

    Using a Delphi method, members of the International Spine Study Group, AO Spine, and the European Spine Study Group collaborated to develop an adult spinal deformity classification system. The multidomain classification system accounts for medical complications (cancer, cardiopulmonary, central nervous system, gastrointestinal, infectious, musculoskeletal, renal) and surgical complications (implant complications, radiographic complications, neurologic events, intraoperative events, and wound complications). Seventeen individuals ("event readers"), including spine surgeons, trainees, and research coordinators, used the new classification system two separate times to analyze complications in ten example cases. The accuracy and repeatability of the classification system were subsequently calculated based on the providers' responses for the example cases.

    Results

    The 10 example cases included 22 complications. Nearly 95% of complications were captured by >95% of the event readers. The system demonstrated good repeatability of 86.9% between the first and second set of responses provided by event readers.

    Conclusion

    The ISSG-AO Multi-Domain Spinal Deformity Complication Classification System for Adult Spinal Deformity demonstrated good accuracy and repeatability among both surgeons and research coordinators in capturing complications in adult spinal deformity surgery. The ISSG-AO system may be applied to help better understand the impact of complications on outcomes and costs in adult spinal deformity surgery.Level of Evidence: 5.
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    ItemOpen Access
    Surgeons' risk perception in ASD surgery: The value of objective risk assessment on decision making and patient counselling.
    (European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society, 2022-05) Pellisé, Ferran; Vila-Casademunt, Alba; Núñez-Pereira, Susana; Haddad, Sleiman; Smith, Justin S; Kelly, Michael P; Alanay, Ahmet; Shaffrey, Christopher; Pizones, Javier; Yilgor, Çaglar; Obeid, Ibrahim; Burton, Douglas; Kleinstück, Frank; Fekete, Tamas; Bess, Shay; Gupta, Munish; Loibl, Markus; Klineberg, Eric O; Sánchez Pérez-Grueso, Francisco J; Serra-Burriel, Miquel; Ames, Christopher P; European Spine Study Group, International Spine Study Group

    Background

    Surgeons often rely on their intuition, experience and published data for surgical decision making and informed consent. Literature provides average values that do not allow for individualized assessments. Accurate validated machine learning (ML) risk calculators for adult spinal deformity (ASD) patients, based on 10 year multicentric prospective data, are currently available. The objective of this study is to assess surgeon ASD risk perception and compare it to validated risk calculator estimates.

    Methods

    Nine ASD complete (demographics, HRQL, radiology, surgical plan) preoperative cases were distributed online to 100 surgeons from 22 countries. Surgeons were asked to determine the risk of major complications and reoperations at 72 h, 90 d and 2 years postop, using a 0-100% risk scale. The same preoperative parameters circulated to surgeons were used to obtain ML risk calculator estimates. Concordance between surgeons' responses was analyzed using intraclass correlation coefficients (ICC) (poor < 0.5/excellent > 0.85). Distance between surgeons' and risk calculator predictions was assessed using the mean index of agreement (MIA) (poor < 0.5/excellent > 0.85).

    Results

    Thirty-nine surgeons (74.4% with > 10 years' experience), from 12 countries answered the survey. Surgeons' risk perception concordance was very low and heterogeneous. ICC ranged from 0.104 (reintervention risk at 72 h) to 0.316 (reintervention risk at 2 years). Distance between calculator and surgeon prediction was very large. MIA ranged from 0.122 to 0.416. Surgeons tended to overestimate the risk of major complications and reintervention in the first 72 h and underestimated the same risks at 2 years postop.

    Conclusions

    This study shows that expert surgeon ASD risk perception is heterogeneous and highly discordant. Available validated ML ASD risk calculators can enable surgeons to provide more accurate and objective prognosis to adjust patient expectations, in real time, at the point of care.