Original Research Article
Year: 2016 | Month: March | Volume: 3 | Issue: 3 | Pages: 21-24
A Study on Inter Digital Area Ridge Count in Type 2 Diabetes Mellitus
1A.Perumal, 2K.Y. Manjunath
1Assistant Professor, Department of Anatomy, Vinayaka Missions Kirupananda Variyar Medical College, Sankari Road, NH - 47, Seeragapadi, Salem - 636308, Tamilnadu, India.
2Professor, Department of Anatomy, Annapoorana Medical College, Sankari Road, NH - 47, Periya Seeragapadi, Salem - 636308, Tamilnadu, India.
Corresponding Author: A.Perumal
Background: The inter digital areas are the area of distal palm between the fingers. The ridge counts of the inter digital area have been found useful as early diagnostic tool in number of genetically related clinical disorders. Diabetes Mellitus is one such condition which can be predicted by studying the inter digital area ridge count. Considering lacunae in the studies on the inter digital area ridge count of Type 2 Diabetes Mellitus in the Indian context, this study was carried out to delineate the inter digital area ridge count of Type 2 Diabetes Mellitus among Tamil Nadu population of India.
Materials and Methods: The inter digital area ridge count was carried out on one hundred Diabetes Mellitus patients and was compared with one hundred normal subjects (equal number of male and female). The subjects were 35 - 80 years of age group belonging to Salem population of Tamil Nadu.
Results: Significantly decreased levels of mean right a-b and left a-b ridge count were observed in male Type 2 Diabetes mellitus patients compared to normal male subjects. Increased levels of mean right b-c, right c-d, left b-c and left c-d ridge counts in female Type 2 Diabetes mellitus patients compared to normal female subjects but these values were statistically insignificant.
Conclusion: The knowledge of inter digital area ridge count is useful for early diagnosis of Diabetes Mellitus. This paper adds to the knowledge of inter digital area ridge count of the Tamil Nadu population, which would be of use to the early diagnostic tool to predict diabetes Mellitus.
Key words: Diabetes Mellitus, inter digital area, Ridge count, Tri radii.