Objective To explore the risk factors of surgical site infection(SSI)in patients after minimally inva-sive transforaminal lumbar interbody fusion(MI-TLIF),and to construct and validate a nomogram model of SSI.Method A total of 620 patients who underwent MI-TLIF from June 2021 to June 2023 at our hospital was retrospec-tively analyzed,and were randomly divided into a modeling group(434 cases)and a validation group(186 cases)in a 7:3 ratio.Univariate and multivariate analyses were used to identify risk factors of SSI,and a logistic regression analysis was employed to construct a risk prediction model,which was displayed using a nomogram.In the internal validation phase,the ROC curve and calibration curve were used to evaluate the discrimination and accuracy of the model in predicting SSI risk.Results The incidence of SSI in 620 M-TLIF patients was 4.68％.Regression analysis results showed that age≥60 years,albumin level＜35 g/L,lumbar paraspinal muscle fatty infiltration,operation duration ≥4h,and diabetes were risk factors for the occurrence of SSI in patients.The final prediction model had an area under the ROC curve of 0.920(95％CI was 0.855-0.961).The calibration curve showed that the deviation between the predicted curve,the actual curve,and the ideal curve of 2 groups of data models was minimal,indica-ting good model fit.Conclusion The nomogram model constructed in this study has a good predictive effect,which can assist clinical healthcare providers in screening high-risk patients and making clinical nursing decisions,and re-duce the risk of SSI in MI-TLIF patients.
surgical site infectionminimally invasive transforaminal lumbar interbody fusionnomogramrisk factorsnursing evaluation
维普
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