Browsing by Author "Haddad, Sleiman"

Now showing 1 - 4 of 4
  • Thumbnail Image
    ItemOpen Access
    Cost Benefit of Implementation of Risk Stratification Models for Adult Spinal Deformity Surgery.
    (Global Spine J, 2023-12-11) Passias, Peter G; Williamson, Tyler K; Kummer, Nicholas A; Pellisé, Ferran; Lafage, Virginie; Lafage, Renaud; Serra-Burriel, Miguel; Smith, Justin S; Line, Breton; Vira, Shaleen; Gum, Jeffrey L; Haddad, Sleiman; Sánchez Pérez-Grueso, Francisco Javier; Schoenfeld, Andrew J; Daniels, Alan H; Chou, Dean; Klineberg, Eric O; Gupta, Munish C; Kebaish, Khaled M; Kelly, Michael P; Hart, Robert A; Burton, Douglas C; Kleinstück, Frank; Obeid, Ibrahim; Shaffrey, Christopher I; Alanay, Ahmet; Ames, Christopher P; Schwab, Frank J; Hostin, Richard A; Bess, Shay; International Spine Study Group
    STUDY DESIGN/SETTING: Retrospective cohort study. OBJECTIVE: Assess the extent to which defined risk factors of adverse events are drivers of cost-utility in spinal deformity (ASD) surgery. METHODS: ASD patients with 2-year (2Y) data were included. Tertiles were used to define high degrees of frailty, sagittal deformity, blood loss, and surgical time. Cost was calculated using the Pearl Diver registry and cost-utility at 2Y was compared between cohorts based on the number of risk factors present. Statistically significant differences in cost-utility by number of baseline risk factors were determined using ANOVA, followed by a generalized linear model, adjusting for clinical site and surgeon, to assess the effects of increasing risk score on overall cost-utility. RESULTS: By 2 years, 31% experienced a major complication and 23% underwent reoperation. Patients with ≤2 risk factors had significantly less major complications. Patients with 2 risk factors improved the most from baseline to 2Y in ODI. Average cost increased by $8234 per risk factor (R2 = .981). Cost-per-QALY at 2Y increased by $122,650 per risk factor (R2 = .794). Adjusted generalized linear model demonstrated a significant trend between increasing risk score and increasing cost-utility (r2 = .408, P < .001). CONCLUSIONS: The number of defined patient-specific and surgical risk factors, especially those with greater than two, were associated with increased index surgical costs and diminished cost-utility. Efforts to optimize patient physiology and minimize surgical risk would likely reduce healthcare expenditures and improve the overall cost-utility profile for ASD interventions.Level of evidence: III.
  • Thumbnail Image
    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.
  • Thumbnail Image
    ItemOpen Access
    Development and validation of risk stratification models for adult spinal deformity surgery.
    (Journal of neurosurgery. Spine, 2019-06) Pellisé, Ferran; Serra-Burriel, Miquel; Smith, Justin S; Haddad, Sleiman; Kelly, Michael P; Vila-Casademunt, Alba; Sánchez Pérez-Grueso, Francisco Javier; Bess, Shay; Gum, Jeffrey L; Burton, Douglas C; Acaroğlu, Emre; Kleinstück, Frank; Lafage, Virginie; Obeid, Ibrahim; Schwab, Frank; Shaffrey, Christopher I; Alanay, Ahmet; Ames, Christopher; International Spine Study Group; European Spine Study Group
    OBJECTIVE:Adult spinal deformity (ASD) surgery has a high rate of major complications (MCs). Public information about adverse outcomes is currently limited to registry average estimates. The object of this study was to assess the incidence of adverse events after ASD surgery, and to develop and validate a prognostic tool for the time-to-event risk of MC, hospital readmission (RA), and unplanned reoperation (RO). METHODS:Two models per outcome, created with a random survival forest algorithm, were trained in an 80% random split and tested in the remaining 20%. Two independent prospective multicenter ASD databases, originating from the European continent and the United States, were queried, merged, and analyzed. ASD patients surgically treated by 57 surgeons at 23 sites in 5 countries in the period from 2008 to 2016 were included in the analysis. RESULTS:The final sample consisted of 1612 ASD patients: mean (standard deviation) age 56.7 (17.4) years, 76.6% women, 10.4 (4.3) fused vertebral levels, 55.1% of patients with pelvic fixation, 2047.9 observation-years. Kaplan-Meier estimates showed that 12.1% of patients had at least one MC at 10 days after surgery; 21.5%, at 90 days; and 36%, at 2 years. Discrimination, measured as the concordance statistic, was up to 71.7% (95% CI 68%-75%) in the development sample for the postoperative complications model. Surgical invasiveness, age, magnitude of deformity, and frailty were the strongest predictors of MCs. Individual cumulative risk estimates at 2 years ranged from 3.9% to 74.1% for MCs, from 3.17% to 44.2% for RAs, and from 2.67% to 51.9% for ROs. CONCLUSIONS:The creation of accurate prognostic models for the occurrence and timing of MCs, RAs, and ROs following ASD surgery is possible. The presented variability in patient risk profiles alongside the discrimination and calibration of the models highlights the potential benefits of obtaining time-to-event risk estimates for patients and clinicians.
  • Thumbnail Image
    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.