Objective To construct a nomogram model for predicting dysphagia after early laryngeal cancer.Methods The clinical data of 154 patients with early laryngeal cancer who were admitted to Nanyang Central Hospital from March 2020 to May 2022 were retrospectively analyzed,and the patients were grouped into a case group and a control group according to whether dysphagia occurred 2 weeks after the operation.Univariate analysis was carried out,Logistic regression was performed to analyze the influencing factors of postoperative dysphagia in patients with vocal cord sur-gery,a nomogram model for predicting the occurrence of dysphagia was constructed using R software and based on pre-dictors.The prediction effect of the model was evaluated by the area under the ROC curve(AUC),and the HL goodness of fit test was performed.Results Among 154 patients,49 patients(31.82%)developed dysphagia after operation;there were obvious differences in the proportions of patients aged≥60 years,with a history of smoking,the surgical method was conventional laryngeal dehysis,a history of pharyngeal reflux disease,restricted mouth opening degree of 3 degrees,and severe pain at 1 week after surgery between the case group and the control group(P<0.05);Logistic re-gression analysis showed that the risk factors for postoperative dysphagia in patients with early laryngeal cancer includ-ed age≥60 years,the surgical method was conventional laryngeal dehysis,history of laryngeal reflux,restricted mouth opening degree of 3 degrees,and severe pain at 1 week after surgery(P<0.05);the above risk factors were introduced into R software to construct a nomogram model,the results showed that the AUC was 0.759(95%CI=0.674~0.844),and the goodness of fit HL test was x2=10.293,P=0.173.Conclusion The nomogram model constructed based on five factors including age,history of laryngopharyngeal reflux,surgical method,restriction of mouth opening,and degree of pain at 1 week after operation can better predict the risk of dysphagia in patients with early laryngeal cancer.
early laryngeal cancerswallowing disordersinfluencing factorsnomogram model