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A Retrospective Study on Endoscopic Surgery for the Treatment of Paravertebral Abscess in Spinal Tuberculosis Patients
Published on: October 25, 2024
Blood transfusion risk prediction in spinal tuberculosis surgery: development and assessment of a novel predictive
Liyi Chen1, Zhaoping Gan2, Shengsheng Huang1
1Spine and osteopathy ward, First Affiliated Hospital of GuangXi Medical University, Nanning, Guangxi Province, China.
Objective:
The present study attempted to predict blood transfusion risk in spinal tuberculosis surgery by using a novel predictive nomogram.
Methods:
The study was conducted on the clinical data of 495 patients (167 patients in the transfusion group and 328 patients in the non-transfusion group) who underwent spinal tuberculosis surgery in our hospital from June 2012 to June 2021. The least absolute shrinkage and selection operator (LASSO) and multivariable logistic regression analyses were used to screen out statistically significant parameters, which were included to establish a novel predictive nomogram model. The receiver operating characteristic (ROC) curve, calibration curves, C-index, and decision curve analysis (DCA) were used to evaluate the model. Finally, the nomogram was further assessed through internal validation.
Results:
The C-index of the nomogram was 0.787 (95% confidence interval: 74.6%-.82.8%). The C-value calculated by internal validation was 0.763. The area under the curve (AUC) of the predictive nomogram was 0.785, and the DCA was 0.01-0.79.
Conclusion:
A nomogram with high accuracy, clinical validity, and reliability was established to predict blood transfusion risk in spinal tuberculosis surgery. Surgeons must prepare preoperative surgical strategies and ensure adequate availability of blood before surgery.
