European journal of medical research · 2026
Development and evaluation of a nomogram model for predicting prolonged hospitalization after spinal tuberculosis focus decompression, fusion, and internal fixation surgery.
СтатьяВалидационное исследованиеНазвание и аннотация: Перевод в очереди
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Jia Xu-Feng, Zhou Qing-Zhong, Long Miao, Zhou Yun-Long, Wang Shao-Hua, Feng Da-Xiong
Аннотация
BACKGROUND: Spinal tuberculosis remains a significant clinical challenge in high-prevalence regions. Despite advances in medical treatment, surgical interventions, such as debridement, decompression, and fusion, are often required, but their complexity increases perioperative morbidity and prolongs hospitalization. Identifying preoperative predictors of extended hospital stay may improve patient management and resource allocation.
METHODS: In this retrospective study, 256 patients with confirmed spinal tuberculosis who were treated between January 2021 and December 2024 were included. Prolonged hospitalization was defined as a postoperative stay > 21 days. Univariate and multivariate logistic regression analyses were performed, and significant predictors were integrated into a nomogram. Model performance was evaluated by receiver operating characteristic (ROC) analysis, calibration plots with bootstrap resampling, and decision curve analysis (DCA).
RESULTS: The patients were divided into a modeling group (n = 170) and a validation group (n = 86). Baseline characteristics were comparable between groups. Multivariate analysis identified increasing age (OR 1.042, 95% CI 1.013-1.071, P = 0.005), concomitant TB at other sites (OR 2.875, 95% CI 1.168-7.100, P = 0.022), and a higher preoperative American Society of Anesthesiologists score (OR 1.537, 95% CI 1.010-2.340, P = 0.046) as independent predictors of prolonged hospitalization. The nomogram demonstrated good discriminative ability (AUC: 0.771 and 0.718) and satisfactory calibration (corrected C index 0.787; Hosmer-Lemeshow P = 0.895). DCA confirmed its clinical utility.
CONCLUSIONS: Advanced age, extra-spinal TB involvement, and elevated preoperative ASA score are significant predictors of prolonged hospitalization after spinal TB surgery. The developed nomogram is a practical tool for preoperative risk assessment, warranting further prospective multicenter validation.
METHODS: In this retrospective study, 256 patients with confirmed spinal tuberculosis who were treated between January 2021 and December 2024 were included. Prolonged hospitalization was defined as a postoperative stay > 21 days. Univariate and multivariate logistic regression analyses were performed, and significant predictors were integrated into a nomogram. Model performance was evaluated by receiver operating characteristic (ROC) analysis, calibration plots with bootstrap resampling, and decision curve analysis (DCA).
RESULTS: The patients were divided into a modeling group (n = 170) and a validation group (n = 86). Baseline characteristics were comparable between groups. Multivariate analysis identified increasing age (OR 1.042, 95% CI 1.013-1.071, P = 0.005), concomitant TB at other sites (OR 2.875, 95% CI 1.168-7.100, P = 0.022), and a higher preoperative American Society of Anesthesiologists score (OR 1.537, 95% CI 1.010-2.340, P = 0.046) as independent predictors of prolonged hospitalization. The nomogram demonstrated good discriminative ability (AUC: 0.771 and 0.718) and satisfactory calibration (corrected C index 0.787; Hosmer-Lemeshow P = 0.895). DCA confirmed its clinical utility.
CONCLUSIONS: Advanced age, extra-spinal TB involvement, and elevated preoperative ASA score are significant predictors of prolonged hospitalization after spinal TB surgery. The developed nomogram is a practical tool for preoperative risk assessment, warranting further prospective multicenter validation.