Objective To explore the correlation between body mass index (BMI) and disease severity in patients with spinocerebellar ataxia type 3 (SCA3). Methods Patients who visited the Department of Neurology of the First Affiliated Hospital of Fujian Medical University with a confirmed diagnosis of SCA3 between July 2022 and August 2023 were selected as a case group, and healthy individuals between June 2024 and October 2024 were selected as a control group, and the BMI levels of the two groups were compared. Patient demographics and clinical statistics were collected, the severity of ataxia in SCA3 patients was assessed using the Scale for the Assessment and Rating of Ataxi, and the relationship between BMI and disease severity was evaluated. Results A total of 101 patients and 101 healthy individuals were included. The BMI levels of SCA3 patients were significantly lower than those of normal controls (t=−2.370, P=0.019). The results of the multiple linear regression model showed that the BMI, disease duration and smoking history had an effect on the disease severity of SCA3 patients (P<0.05), and disease duration and disease severity had a significant effect on the disease progression in SCA3 patients (P<0.05). Conclusion There may be a correlation between BMI and disease severity in SCA3 patients, and controlling the BMI level may help to control the disease in SCA3 patients.
ObjectiveTo investigate the prognostic factors of primary gastric squamous cell carcinoma (SCC) and develop a nomogram for predicting the survival of gastric SCC.MethodsData of 199 cases of primary gastric SCC from 2004 to 2015 were collected in the National Cancer Institute SEER database by SEER Stat 8.3.5 software. X-tile software was used to determine the best cut-off value of the age, SPSS 25.0 software was used to analyze the prognostic factors of gastric SCC and draw a Kaplan-Meier curve, and then the Cox proportional hazard regression model analysis was performed to obtain independent prognostic factors of gastric SCC. We used R studio software to visualize the model and draw a nomogram. C-index was used to evaluate the prediction effect of the nomogram. Bootstrap analyses with 1 000 resamples were applied to complete the internal verification of the nomogram.ResultsAmong the 199 patients, survival rates for 1-, 3-, and 5-year were 40.7%, 22.4%, and 15.4%, respectively. Age (χ2=6.886, P=0.009), primary site (χ2=14.918, P=0.037), race (χ2=7.668, P=0.022), surgery (χ2=16.523, P<0.001), histologic type (χ2=9.372, P=0.009), T stage (χ2=11.639, P=0.009), and M stage (χ2=31.091, P<0.001) had a significant correlation with survival time of patients. The results of the Cox proportional hazard regression model showed that, age [HR=1.831, 95%CI was (1.289, 2.601)], primary site [HR=1.105, 95%CI was (1.019, 1.199)], M stage [HR=2.222, 95%CI was (1.552, 3.179)], and surgery [HR=0.561, 95%CI was (0.377, 0.835)] were independent prognostic factors affecting the survival of gastric SCC. Four independent prognostic factors contributed to constructing a nomogram with a C-index of 0.700.ConclusionIn this research, a reliable predictive model is constructed and drawn into a nomogram, which can be used for clinical reference.