A retrospective cohort study at the Shandong Public Health Clinical Center analyzed 178 patients who underwent debridement and instrumented fusion for spinal tuberculosis. The study aimed to identify factors associated with postoperative bone nonunion and develop a predictive nomogram. No comparator group was reported, and the study design was purely observational.
The primary outcome was postoperative bone nonunion, which occurred in 58 of 178 patients (32.6%). The study did not report effect sizes, p-values, or direction of associations for individual risk factors. The developed nomogram for predicting nonunion showed an area under the ROC curve of 0.947 (95% CI 0.915–0.978), indicating high discrimination within this specific cohort.
Safety and tolerability data were not reported. Key limitations include the retrospective, single-center design, which limits generalizability, and the lack of an external validation cohort for the nomogram. The study did not report funding sources or conflicts of interest.
Practice relevance is restrained: the nomogram may aid in early detection of nonunion risk in similar patient populations, but its predictive accuracy requires prospective, multicenter validation. The findings represent an association, not causation, and should not be overinterpreted for clinical decision-making without further evidence.
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BackgroundPostoperative bone nonunion is a critical complication following instrumented fusion for spinal tuberculosis. Preoperative prediction is essential for prevention. While clinical risk factors exist, current predictive tools lack validation in infected cohorts.PurposeThis study developed and validated a multivariate nomogram, provided an individualized preoperative estimate of nonunion risk in spinal tuberculosis patients, incorporating key clinical and radiological predictors to guide preventative strategies.MethodA retrospective cohort of 178 patients undergoing debridement and instrumented fusion for spinal tuberculosis (Shandong Public Health Clinical Center, January 2021-January 2024) was stratified by Bridwell classification into union (n = 120) and nonunion (n = 58) groups. Perioperative variables were compared between groups. Predictive features were selected via least absolute shrinkage and operator selection (LASSO) regression and incorporated into a multivariate logistic regression model. A nomogram was constructed based on the model. Calibration was assessed using the Hosmer-Lemeshow test with calibration curves, and discriminative ability was evaluated by the area under the ROC curve (AUC). Decision curve analysis (DCA)was performed to estimate the clinical usefulness of the prediction model by quantifying the net benefits at different threshold probabilities.ResultsThe training cohort of this study comprised 178 patients, of which 120 presented with union and 58 with nonunion. Five predictor variables were screened by LASSO regression and plotted as a nomogram, including ALB, CRP normalization days, Bone graft materials, Psoas abscess, Jumping lesions. The nomogram showed strong discrimination and solid calibration, AUC = 0.947 (95% confidence 0.915–0.978). The calibration curves of the diagnostic models showed the optimal concordance between the predicted results and the actual observations. The DCA indicated that the substantial clinical net benefit across threshold probabilities.ConclusionThe study successfully developed a precise and effective nomogram for identifying postoperative bone nonunion in spinal tuberculosis patients. This nomogram aids early detection and prevention in postoperative bone nonunion, improving clinical decisions and treatment optimization.