J Invest Surg. 2025 Dec;38(1):2574613. doi: 10.1080/08941939.2025.2574613. Epub 2025 Oct 28.
ABSTRACT
OBJECTIVE: To investigate the effectiveness of sciatic nerve block by evaluating changes in regional blood flow and the Perfusion Index (PI) in the lower extremities, and to develop a predictive model for assessing the success of the block using multifactor logistic regression.
METHODS: This prospective study included 157 patients undergoing sciatic nerve blocks. Patients were randomly assigned to training and validation cohorts. All blocks were performed under ultrasound guidance using a subgluteal approach. Variables were screened using the Boruta algorithm and univariate analysis, and a predictive model was constructed using multifactor logistic regression. Model validation was performed using ROC curves, calibration curves, and the Hosmer-Lemeshow test.
RESULTS: The perfusion index and changes in regional blood flow parameters were identified as significant predictors of sciatic nerve block success. The logistic regression model exhibited high sensitivity and specificity, with area under the curve (AUC) values of 0.909, 0.957, and 0.890 for the training, internal validation, and external validation cohorts, respectively.
CONCLUSION: The Perfusion Index and regional blood flow changes in the lower extremities are reliable predictors of the success of sciatic nerve blocks. The predictive model developed in this study is accurate and clinically applicable, providing an objective tool for the early assessment of block efficacy.
PMID:41146621 | DOI:10.1080/08941939.2025.2574613
