Analysis of factors influencing diabetic peripheral neuropathy in patients with type 2 diabetes mellitus and construction of a nomogram prediction model - Scorecard - MDSpire
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Analysis of factors influencing diabetic peripheral neuropathy in patients with type 2 diabetes mellitus and construction of a nomogram prediction model
Clinical Scorecard: Investigation of Determinants of Diabetic Peripheral Neuropathy in Type 2 Diabetes Mellitus Patients and Development of a Nomogram for Prediction
At a Glance
Category
Detail
Condition
Diabetic Peripheral Neuropathy (DPN)
Key Mechanisms
Advanced age, BMI, smoking, drinking, hypertension, dyslipidemia, DKD, DR
Target Population
Patients with Type 2 Diabetes Mellitus (T2DM)
Care Setting
Clinical assessment and risk prediction
Key Highlights
Identified independent risk factors for DPN in T2DM patients.
Developed a nomogram for predicting DPN risk.
Area under the ROC curve was 0.795 for training and 0.857 for validation sets.
Effective early screening tool for high-risk T2DM patients.
Guideline-Based Recommendations
Diagnosis
Utilize detailed medical history and neurological evaluation.
Employ Michigan Neuropathy Screening Instrument for preliminary screening.
Management
Focus on lifestyle modifications including weight management and smoking cessation.
Monitoring & Follow-up
Regular assessment of risk factors such as blood pressure, lipid levels, and blood glucose.
Risks
Increased risk of disability and amputation if DPN is not detected early.
Patient & Prescribing Data
570 patients with T2DM, aged 18 and older.
Management strategies should address comorbid conditions and lifestyle factors.
Clinical Best Practices
Implement early detection strategies for DPN in T2DM patients.
A prespecified exploratory analysis of the FIND-CKD clinical trial examined kidney function, albuminuria, and kidney failure outcomes in 903 patients with glomerular diseases.
