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Background: Variations of the arteries, nerves and muscles of the upper limb have both clinical and surgicalimportance. The superficial brachial artery origination from the third part of the axillary artery, communicationsbetween the musculocutaneous and median nerves, variant formation of the brachial plexus, origination of theProfunda brachii artery from the posterior circumflex humeral artery have been well documented. We describehere the other variations in the upper limbs of a male cadaver.Case Report: During our routine dissection studies on a 50year old male cadaver we encountered variations inRight upper limb.Observations: In this case we observed the axillary artery gives two terminal branches the first was the superficialbrachial artery and the second was a common trunk for the sub scapular,brachial, posterior circumflex humeral and anterior circumflex humeral arteries. Superficial brachial arterygive Radial and Ulnar arteries. Variant formations of the brachial plexus i.e., medial root of median nerveoriginate from both lateral and medial cord.Conclusion: We think that such variations should be kept in mind during surgical and diagnostic procedures.Variation in the brachial plexus medial root of median nerve originate from both lateral and medial cord mightbe of significance in diagnostic clinical neurophysiology.
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Aim: To identify the Stature from the cephalo-facial dimension (facial height) in Indian females.Materials and Methods: A stadiometer was used to measure the stature, and the facial height was taken byutilizing a vernier caliper, in 43 female medical students. To know about the significance and correlation, thedata were analysed statistically.Results: Mean stature and the mean facial height were found to be 158.93±11.06 cm and 10.39±0.83 cm respectively.P value was less than 0.001 and Pearson’s coefficient obtained was 0.93. Hence, there is found to be a significantpositive correlation between stature and facial height in Indian females.Conclusion: Estimation of stature from the facial height could be performed where only unknown head and faceare brought for anthropometric examinations.
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Background: Objective: our study was to observe the risk factors in different age group of patients with ischemic stroke. Methods: A total of 120 patients of ischemic stroke were considered on the basis of detail clinical history, laboratory findings and CT Scan/MRI. Results: Data was analyzed by using MS-Office software. Conclusion: Major risk factors associated with ischemic stroke was hypertension, smoking, alcohol consumption, diabetes mellitus, dyslipidemia and obesity.
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Background: When actual measurement of stature cannot be done, other surrogate parameters can be used to predict stature. Stature in clinical medicine and in the field of scientific research can be easily estimated using various anthropometric parameters like arm span, knee height, foot length and breadth etc. Arm span has been proven to be one of the most reliable predictors. Thus this study was undertaken to estimate the stature from arm span using regression equation and to determine correlation between stature and arm span. Methods: The present study was carried out in the Department of Anatomy, Hind Institute of Medical Sciences, Ataria, UP. Our study consisted of 124 MBBS students (85 boys and 39 girls). The stature and arm span was measured directly using anthropometric technique and measuring tape. The data collected were recorded and analysed with SPSS 16. Regression equations were derived for stature estimation and the relationship between stature and arm span was determined by Pearson correlation coefficient. Results: We found that the males with stature 171.34±9.71cm had the arm span of 174.27±8.63cm and the females with stature 159.41±6.33cm had the arm span of 156.47±7.85cm. The stature calculated using regression equation was 171.25±6.69cm in male and 159.25±4.95cm in females. The correlation between stature and arm span was positive and significant (r=0.689 for male, r=0.783 for female, p<0.05). Conclusion: Body height correlates well with the arm span so it can be used as a reliable marker for stature estimation using regression equation.