Purpose:
Previous studies have confirmed the significant impact of examinedlymph node counts (ELNs), positive lymph node counts (PLNs), and postoperative complications on the overall survival rate of patients with esophageal squamous carcinoma (ECSS). However, the relationship between the ELNs, PLNs,and postoperative complications remains to be determined.The present studyexplores the relationship between ELNs, PLNs and postoperative complications.
Methods:
Retrospective analysis of 166 patients undergoing radical surgery forESCC. Perform univariate and multivariate analyses to explain the correlationamong ELNs, PLNs, and postoperative complications. Furthermore, the factorsthat may impact ELNs were determined. Logistic regression analysis was utilizedin this study to pinpoint the significant factors that influence postoperative pulmonary complications(PPCs).And developed predictive models to create receiveroperating characteristics (ROC) and compute the area under the curve (AUC).A nomogram was developed, and calibration curves and decision curves wereplotted.
Results:
Among all patients, 24 anastomotic leak and 82 PPCs developed postoperatively. The mean lymph node count was 19.24, with 88 (53.0%) patientshaving a lymph node count greater than 19, of whom 58 (34.9%) had lymphnode metastases. Univariate analysis showed no correlation between ELNs, PLNs,and postoperative anastomotic Leak, and multifactorial analysis revealed independent risk factors for PPCs, including BMI:<18.5 kg/m2, Operation method,ELNs, and PLNs. Combining these four factors creates a prediction model forPPCs AUC=0.772 (95% CI: 0.701-0.844, P<0.001).
Conclusion:
BMI:<18.5 kg/m2, Operation method, ELNs, and PLNs were independent risk factors for PPCs and were strongly associated with the occurrenceof PPCs (P<0.05). Four factors were statistically significant as predictive modelsfor the event of ESCC PPCs. Our predictive model demonstrates high specificityin predicting outcomes and is easily accessible in clinical settings.