ArticleEuropean spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society2019
Predictive model for major complications 2 years after corrective spine surgery for adult spinal deformity.
Article in 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, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed, 42 citations in OpenAlex.
- Minimally Invasive Robotic-Assisted Complex Adult Spinal Deformity Correction in a Surgical Specialty Hospital: Bringing Adult Spinal Deformity Care Closer to Home.Journal of clinical medicine · 2026Article
- [Artificial intelligence in spinal surgery: current applications and future perspectives].Orthopadie (Heidelberg, Germany) · 2026Review
- Utility of Enabling Technologies in Spinal Deformity Surgery: Optimizing Surgical Planning and Intraoperative Execution to Maximize Patient Outcomes.Journal of clinical medicine · 2025Review
- Predicting mechanical complications in adult spinal deformity patients with postoperative proportioned and moderately disproportioned alignment.Acta orthopaedica et traumatologica turcica · 2025Article
- Perioperative Medical Complications in Adult Spine Deformity Surgery: Classification and Prevention Strategies.Global spine journal · 2025Article
- Development and external validation of a nomogram for predicting postoperative adverse events in elderly patients undergoing lumbar fusion surgery: comparison of three predictive models.Journal of orthopaedic surgery and research · 2024Article
- Artificial Intelligence in Scoliosis: Current Applications and Future Directions.Journal of clinical medicine · 2023Review
- The 5-item modified frailty index predicts spinal osteotomy outcomes better than age in adult spinal deformity patients: an ACS - NSQIP analysis.Spine deformity · 2023Article
- Artificial Intelligence and Machine Learning Applications in Spine Surgery.International journal of spine surgery · 2023Article
- Emerging trends and research foci of deep learning in spine: bibliometric and visualization study.Neurosurgical review · 2023Review
- Article
- Complications in the Elderly Population Undergoing Spinal Deformity Surgery: A Systematic Review and Meta-Analysis.Global spine journal · 2022Review
- A scoping review of complication prediction models in spinal surgery: An analysis of model development, validation and impact.North American Spine Society journal · 2022Article
- Predicting 30-Day Perioperative Outcomes in Adult Spinal Deformity Patients With Baseline Paralysis or Functional Dependence.International journal of spine surgery · 2022Article
- Adult Spinal Deformity Surgery and Frailty: A Systematic Review.Global spine journal · 2022Article
- Artificial Intelligence in Adult Spinal Deformity.Acta neurochirurgica. Supplement · 2022Article
- State-of-the-art reviews predictive modeling in adult spinal deformity: applications of advanced analytics.Spine deformity · 2021Review
- A narrative review of machine learning as promising revolution in clinical practice of scoliosis.Annals of translational medicine · 2021Review
- The Michel Benoist and Robert Mulholland yearly European spine journal review: a survey of the "surgical and research" articles in European spine journal, 2019.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 · 2020Review
- Artificial Intelligence for Adult Spinal Deformity.Neurospine · 2019Article
Corrections and comments
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Authors and funding
11 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeASD surgery improves a patient's health-related quality of life, but it has a high complication rate. The aim of this study was to create a predictive model for complications after surgical treatment for adult spinal deformity (ASD), using spinal alignment, demographic data, and surgical invasiveness.
methodsThis study included 195 surgically treated ASD patients who were > 50 years old and had 2-year follow-up from multicenter database. Variables which included age, gender, BMI, BMD, frailty, fusion level, UIV and LIV, primary or revision surgery, pedicle subtraction osteotomy, spinal alignment, Schwab-SRS type, surgical time, and blood loss were recorded and analyzed at least 2 years after surgery. Decision-making trees for 2-year postoperative complications were constructed and validated by a 7:3 data split for training and testing. External validation was performed for 25 ASD patients who had surgery at a different hospital.
resultsComplications developed in 48% of the training samples. Almost half of the complications developed in late post-op period, and implant-related complications were the most common complication at 2 years after surgery. Univariate analyses showed that BMD, frailty, PSO, LIV, PI-LL, and EBL were risk factors for complications. Multivariate analysis showed that low BMD, PI-LL > 30°, and frailty were independent risk factors for complications. In the testing samples, our predictive model was 92% accurate with an area under the receiver operating characteristic curve of 0.963 and 84% accurate in the external validation.
conclusionA successful model was developed for predicting surgical complications. Our model could inform physicians about the risk of complications in ASD patients in the 2-year postoperative period. These slides can be retrieved under Electronic Supplementary Material.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.