Construct and Validate a Predictive Model for Surgical Site Infection after Posterior Lumbar Interbody Fusion Based on Machine Learning Algorithm

Figure 1

Univariate logistic regression. LSS: lumbar spinal stenosis; LSO: lumbar spondylolisthesis; EBL: estimated blood loss; DT: dural tear; RD: rheumatic disease; CHD: coronary heart disease; Pre WBC: preoperative white blood cell count; Pre RBC: preoperative red blood cell count; Pre Hb: preoperative hemoglobin; Pre erythrocyte volume: preoperative erythrocyte volume; Pre PLT: preoperative platelets; Pre neutrophil percentage: preoperative neutrophil percentage; Pre lymphocyte percentage: preoperative lymphocyte percentage; Pre Alb: preoperative albumin; Pre globulin: preoperative globulin; Pre ALT: preoperative alanine aminotransferase; Pre AST: preoperative aspartate aminotransferase; Pre creatinine: preoperative creatinine; ASA: American Society of Anesthesiologists physical status; NYHA: New York Heart Association Class; BMI: body mass index. value < 0.05; value < 0.01; value < 0.001.