The outstretched arm span and measurement of components of the upper limb are a reliable predictors of stature when fragmentary remains of the human body are found. However, this relationship can be affected by age, sex, diet, racial and geographical differences, etc. Hence, a regional database is necessary to be more accurate. This cross-sectional, prospective analytical study included 200 students pursuing MBBS (Male = 100, Female = 100), natives of Gujarat, aged between 18 - 24 years with normal developmental history. Rich bells stature meter, Anthropometric metal rods (scaled), and Vernier caliper were used for taking measurements. SPSS software version 26 was used for statistical analysis. The findings showed a positive correlation between stature and the outstretched arm span as well as stature and various components of the upper limb. Except for the correlation between stature and the length of the shoulder to mid suprasternal notch in males, all of the results were statistically significant (p < 0.05). Regression equations were derived and verified.Outstretched arm span is the most reliable indicator of stature whereas the length of the shoulder to mid suprasternal notch is the least reliable indicator of stature in both sexes in the natives of Gujarat. This study can be used as a reference in the future for medico-legal purposes.
Pulmonary thromboembolism (PTE) is one of the momentous events in a case of polytrauma. In majority cases because of sudden commencement, medicolegal autopsy shows insufficient macroscopic confirmation even though thrombo-embolism is the cause of death. During a medicolegal autopsy, the autopsy surgeon, firstly need to differentiate embolus and post mortem clot by gross examination. Histopathological examination (HPE) not only helps to establish emboli but also illuminates associated systemic changes in other organs as well. Most importantly, the correlation of autopsy findings and HPE findings with the clinical events reflected in medical records helps to scientifically explain the series of events during hospitalization. The same data is also useful in better monitoring and management of polytrauma cases in the future.
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