Neuropad test for sudomotor function to predict the risk of diabetic foot ulceration.
- Author:
	        		
		        		
		        		
			        		Yan QIN
			        		
			        		
			        		
			        			1
			        			
			        		
			        		
			        		
			        		
			        		;
		        		
		        		
		        		
			        		Ying CAO
			        		
			        		;
		        		
		        		
		        		
			        		Fang GAO
			        		
			        		;
		        		
		        		
		        		
			        		Xiangrong LUO
			        		
			        		;
		        		
		        		
		        		
			        		Jimin LI
			        		
			        		;
		        		
		        		
		        		
			        		Xiajun FU
			        		
			        		;
		        		
		        		
		        		
			        		Yaoming XUE
			        		
			        		
		        		
		        		
		        		
			        		
			        		Author Information
			        		
 - Publication Type:Journal Article
 - MeSH: Adult; Aged; Diabetic Foot; diagnosis; Female; Humans; Male; Middle Aged; Neurologic Examination; methods; Predictive Value of Tests; Risk Assessment
 - From: Journal of Southern Medical University 2014;34(4):560-562
 - CountryChina
 - Language:Chinese
 - 
		        	Abstract:
			       	
			       		
				        
				        	
OBJECTIVETo assess the predictive value of Neuropad test on occurrence of diabetic foot ulceration (DFU) among type 2 diabetic patients.
METHODSWe divided 725 cases of type 2 diabetic patients into the high-risk and the non-high-risk groups of DFU based on the results of vibration perception thresholds(VPT) examination, which was widely used as a criteria for predicting DFU. Receiver operating characteristic (ROC) analysis was used to compare the effectiveness of Neuropad with 10 g Semmes-Weinstein monofilament (10 g SWMF) testing in predicting the risk of DFU.
RESULTSAmong 725 patients of type 2 diabetes, 6.1% were at a high risk of DFU. Compared to non-high-risk group, patients in high-risk group had older age, longer diabetes duration, higher values of complete colour change time (CCC time) of Neuropad and higher abnormal rate of 10 g SWMF (P<0.01). CCC time of Neuropad was shown to be better in predicting the risk of DFU than 10 g SWMF, and the area under the ROC curve was about 0.8, and the best cut-off value was 22.25 min.
CONCLUSIONNeuropad is an effective means for predicting of the risk of DFU, and can be used to prevent diabetic foot ulceration.
 
            