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
A prediction model of surgical site infection after instrumented thoracolumbar spine surgery in adults.
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 17 papers.
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Who cites it
17 citing papers in PubMed.
- Development and validation of a nomogram prediction model for surgical site infection after instrumentation for degenerative lumbar spinal diseases.Perioperative medicine (London, England) · 2025Article
- Prophylactic closed-incisional negative pressure wound therapy following posterior instrumented spinal fusion: a single surgeon's experience and cost-benefit analysis.Neurosurgical review · 2024Article
- Prediction models for risk assessment of surgical site infection after spinal surgery: A systematic review.North American Spine Society journal · 2024Review
- Advancing spine care through AI and machine learning: overview and applications.EFORT open reviews · 2024Review
- Surgical Site Infection After Polymethyl Methacrylate Pedicle Screw Augmentation in Osteoporotic Spinal Vertebrae: A Series of 537 Cases.International journal of spine surgery · 2023Article
- The risk factors of the postoperative poor wound healing in spinal tuberculosis patients: A single centre retrospective cohort study.International wound journal · 2022Article
- A scoping review of complication prediction models in spinal surgery: An analysis of model development, validation and impact.North American Spine Society journal · 2022Article
- Is It Cost Effective to Obtain Fungal and Acid-Fast Bacillus Cultures during Spine Debridement?Asian spine journal · 2022Article
- Is the Use of Intraoperative 3D Navigation for Thoracolumbar Spine Surgery a Risk Factor for Post-Operative Infection?Journal of clinical medicine · 2022Article
- Medicosurgical management of deep wound infections after thoracolumbar instrumentation: risk factors of poor outcomes.Acta neurochirurgica · 2022Article
- Risk factors for deep surgical site infection following posterior instrumented fusion for degenerative diseases in the thoracic and/or lumbar spine: a multicenter, observational cohort study of 2913 consecutive cases.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 · 2021Observational
- C-reactive protein in spinal surgery: more predictive than prehistoric.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 · 2021Article
- Prediction Models in Degenerative Spine Surgery: A Systematic Review.Global spine journal · 2021Article
- Risk Stratification for Organ/Space Surgical Site Infection in Advanced Digestive System Cancer.Frontiers in oncology · 2021Article
- External validation of a prediction model for pain and functional outcome after elective lumbar spinal fusion.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 · 2020Article
- Quality and Safety Improvement in Spine Surgery.Global spine journal · 2020Article
- Postoperative Management Strategy of Surgical Site Infection following Lumbar Dynesys Dynamic Internal Fixation.Pain research & managementArticle
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThe aim of this study was to develop and internally validate a multivariable model for accurate prediction of surgical site infection (SSI) after instrumented spine surgery using a large cohort of a Western European academic center.
methodData of potential predictor variables were collected in 898 adult patients who underwent instrumented posterior fusion of the thoracolumbar spine. We used logistic regression analysis to develop the prediction model for SSI. The ability to discriminate between those who developed SSI and those who did not was quantified as the area under the receiver operating characteristic curve (AUC). Model calibration was evaluated by visual inspection of the calibration plot and by computing the Hosmer and Lemeshow goodness-of-fit test.
resultsSixty patients (6.7%) were diagnosed with an SSI. After backward stepwise elimination of predictor variables, we formulated a model in which an individual's risk of an SSI can be computed. Age, body mass index, ASA score, degenerative or revision surgery and NSAID use appeared to be independent predictor variables for the risk of SSI. The AUC was 0.72 (95% CI 0.65-0.79), indicating reasonable discriminative ability.
conclusionsWe developed and internally validated a prediction model for SSI after instrumented thoracolumbar spine surgery using predictor variables of standard clinical practice that showed reasonable discriminative ability and calibration. Identification of patients at risk for SSI allows for individualized patient risk assessment with better patient-specific counseling and may accelerate the implementation of multi-disciplinary strategies for reduction of SSI. These slides can be retrieved under Electronic Supplementary Material.
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