Osamah Alramahi*, Mohammad Al-Sharrab, Mo’men Shabib, Mohammad Al-Khrissat and Moath Momani
Objective: This study explores the relationship between clinical and demographic factors and the presence and severity of neuropathic pain in diabetic patients. We aim to identify potential predictors of neuropathic pain that could aid in early detection and management.
Methods: This cross-sectional study included diabetic patients from Basmah Hospital in Jordan. Neuropathic pain was assessed using a validated pain scale using TORONTO CLINICAL NEUROPATHY SCORE (TCNS) Generalized linear models analyzed associations between potential predictors (including RDWI values, platelet count ratios, age, diabetes duration, etc.) and neuropathic pain. Receiver Operating Characteristic (ROC) curve analysis determined the predictive accuracy of significant factors.
Results: A total of 367 diabetic participated. The prevalence of neuropathic pain was 66%. Higher RDWI values and lower platelet count ratios were significantly associated with increased neuropathic pain severity (p<0.05). The ROC curve revealed the diagnostic performance of three indicators: platelet count ratio, RDWI, and TornTo. The curves indicate that the diagnostic abilities of these indicators are relatively similar, as all three curves are close to the diagonal, which represents a random classifier. This suggests that the platelet count ratio, RDWI, and TornTo have limited effectiveness in distinguishing between patients with and without neuropathic pain.
Conclusion: Our findings suggest that clinical. RDWI and platelet count ratio show promise as potential indicators of neuropathic pain in diabetic patients. Integrating these measures into clinical practice could improve early identification and targeted management strategies.
Published Date: 2024-11-06; Received Date: 2024-10-10
