Objective To analyze the prevalence and influencing factors of sarcopenia in patients with tracheotomy and construct a prediction model,so as to provide reference for the prevention and early intervention of sarcopenia in patients.Methods A total of 162 patients who underwent tracheotomy at Zhejiang Rehabilitation Medical Center/The Affiliated Rehabilitation Hospital of Zhejiang Chinese Medical University from January 2023 to December 2024 were selected as subjects.According to the diagnosis criteria for sarcopenia,the patients were divided into sarcopenia group(n=141)and non-sarcopenia group(n=21).Statistical analysis was conducted on demographic data and clinical indicators of both groups.Multivariate Logistic regression model was employed to identify risk factors for developing sarcopenia in patients undergoing tracheotomy,followed by the construction of a predictive model.Results There were significant differences in age,tracheotomy time,total protein,globulin levels,and hemoglobin levels between two groups(P＜0.05).Multivariate Logistic regression analysis showed that tracheotomy duration,low globulin levels,and low hemoglobin levels were independent risk factors for developing sarcopenia in patients undergoing tracheotomy.A risk prediction model constructed using these three indicators,area under the receiver operating characteristic curve was 0.939,with a sensitivity of 89.4％and a specificity of 85.7％.Conclusion Sarcopenia has a high prevalence in patients with tracheotomy,and the model based on tracheotomy time,low globulin level and low hemoglobin level has high value in predicting the risk of sarcopenia in patients with tracheotomy.

Objective To analyze the prevalence and influencing factors of sarcopenia in patients with tracheotomy and construct a prediction model,so as to provide reference for the prevention and early intervention of sarcopenia in patients.Methods A total of 162 patients who underwent tracheotomy at Zhejiang Rehabilitation Medical Center/The Affiliated Rehabilitation Hospital of Zhejiang Chinese Medical University from January 2023 to December 2024 were selected as subjects.According to the diagnosis criteria for sarcopenia,the patients were divided into sarcopenia group(n=141)and non-sarcopenia group(n=21).Statistical analysis was conducted on demographic data and clinical indicators of both groups.Multivariate Logistic regression model was employed to identify risk factors for developing sarcopenia in patients undergoing tracheotomy,followed by the construction of a predictive model.Results There were significant differences in age,tracheotomy time,total protein,globulin levels,and hemoglobin levels between two groups(P＜0.05).Multivariate Logistic regression analysis showed that tracheotomy duration,low globulin levels,and low hemoglobin levels were independent risk factors for developing sarcopenia in patients undergoing tracheotomy.A risk prediction model constructed using these three indicators,area under the receiver operating characteristic curve was 0.939,with a sensitivity of 89.4％and a specificity of 85.7％.Conclusion Sarcopenia has a high prevalence in patients with tracheotomy,and the model based on tracheotomy time,low globulin level and low hemoglobin level has high value in predicting the risk of sarcopenia in patients with tracheotomy.

Parkinson′s disease (PD) is a common neurodegenerative disease. The prevalence of dysphagia in patients with PD is 16%-87%. Dysphagic patients show abnormalities in the oral, pharyngeal and esophageal phases of swallowing. The evaluation tools of dysphagia in patients with PD include instrumental assessment tools, non-instrumental objective assessment tools and subjective assessment tools. Videofluoroscopic study of swallowing and flexible endoscopic examination of swallowing are the gold standards for swallowing assessment in patients with PD; high-resolution manometry, tongue pressure measurement, surface electromyography and ultrasonography can be used as supplementary tests; the Swallowing Disturbance Questionnaire Scale, which is sensitive, specific, reliable and valid, is recommended as a screening tool.