METHOD: For designing and modeling the DSPN severity grading systems for MNSI, 19 years of data from Epidemiology of Diabetes Interventions and Complications (EDIC) clinical trials were used. Different Machine learning-based feature ranking techniques were investigated to identify the important MNSI features associated with DSPN diagnosis. A multivariable logistic regression-based nomogram was generated and validated for DSPN severity grading using the best performing top-ranked MNSI features.
RESULTS: Top-10 ranked features from MNSI features: Appearance of Feet (R), Ankle Reflexes (R), Vibration perception (L), Vibration perception (R), Appearance of Feet (L), 10-gm filament (L), Ankle Reflexes (L), 10-gm filament (R), Bed Cover Touch, and Ulceration (R) were identified as important features for identifying DSPN by Multi-Tree Extreme Gradient Boost model. The nomogram-based prediction model exhibited an accuracy of 97.95% and 98.84% for the EDIC test set and an independent test set, respectively. A DSPN severity score technique was generated for MNSI from the DSPN severity prediction model. DSPN patients were stratified into four severity levels: absent, mild, moderate, and severe using the cut-off values of 17.6, 19.1, 20.5 for the DSPN probability less than 50%, 75%-90%, and above 90%, respectively.
CONCLUSIONS: The findings of this work provide a machine learning-based MNSI severity grading system which has the potential to be used as a secondary decision support system by health professionals in clinical applications and large clinical trials to identify high-risk DSPN patients.
METHODS: DIA-RAMADAN (NCT04132934) was a prospective, international, observational study conducted in nine countries. Patients >18 years of age with T2DM (N = 1244) were examined at an inclusion visit (V0) occurring 6-8 weeks before the start of Ramadan. Patients received a diary to report treatment changes, hypoglycaemic events (HEs), and other adverse events. Gliclazide MR was taken once daily for 14-18 weeks. A second visit (V1) was conducted 4-6 weeks after the end of Ramadan. The primary endpoint was the proportion of patients reporting ≥1 symptomatic HE. Changes in HbA1c, fasting plasma glucose (FPG), and body weight were secondary endpoints.
RESULTS: The proportion of patients reporting ≥1 symptomatic HE during Ramadan was low (2.2%) with no reported severe HEs. There was a significant reduction in HbA1c (-0.3%), FPG (-9.7 mg/dL), body weight (-0.5 kg) and body mass index (-0.2 kg/m2) between V0 and V1 (p