Papers by Hasit Dalpatbhai Lad

Advances in Biological Chemistry, 2012
Diabetes mellitus, hypertension and obesity are associated with endothelial dysfunction. Microalb... more Diabetes mellitus, hypertension and obesity are associated with endothelial dysfunction. Microalbuminuria is an early sign of endothelial dysfunction. The occurrence of microalbuminuria in long standing diabetes mellitus and hypertension is well established. This study intends to find the occurrence of microalbuminuria in non-diabetic normotensive obese individuals. Objectives: To estimate urinary albumin creatinine ratio (UACR) in non-diabetic normotensive obese individuals. Design and Methods: 41 nondiabetic normotensive obese adults with Body Mass Index > 23 kg/m 2 were taken as cases and 41 age and sex matched healthy non-obese adults with Body Mass Index < 23 kg/m 2 were taken as controls. Anthropometric measurements (Body Mass Index and Waist circumference) and biochemical estimations (fasting blood glucose, lipid profile & spot urinary albumin creatinine ratio) were carried out. Results: Urinary albumin creatinine ratio was lesser than the established microalbuminuric range of 30 -300 mg/g, in both cases and controls irrespective of the values obtained for lipid profile and anthropometric indices. Conclusion: Microalbuminuria may not be present in obese patients without diabetes and hypertension.

Background & Objective: The errors associated with the total testing process in laboratory, affec... more Background & Objective: The errors associated with the total testing process in laboratory, affecting clinical decision making, may occur at the pre-analytical, analytical and post-analytical phase. This study is aimed at finding out the types and frequencies of errors recorded and recommending the corrective measures in pre analytical phase, which accounts for preventable errors significantly. Materials & Methods: This was a retrospective analysis of errors observed and recorded over 3 months period in clinical biochemistry laboratory at SMIMER hospital, Surat. Data analysis was done on an average of 12680 samples collected and tested. Samples included blood, urine and other fluids. Pre-analytical errors were identified and recorded subsequent to visual inspection of the samples and corresponding request forms by laboratory staff. Results: Pre-analytical errors were classified as A) inappropriate form (28.24%), B) inappropriate sample (3.52%), C) inappropriate transport (22.16%) and D) inappropriate centrifugation (7.29%). For category A, high error rate for date and time of sample collection (99.97%), provisional diagnosis (99.92%) and physician's detail (100%) were observed. For category B, error rate for insufficient sample volume was 26.38%. For category C, error rate for date and time of sample receipt was 100%. Pre-analytical error rate was highest for samples received from outpatient department (18.37%) and for urine sample (18.61%) comparatively. Conclusion: Pre-examination errors were high at this study location. Measures aimed at reducing the same and exposure to accreditation are recommended for improved laboratory quality output.
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Papers by Hasit Dalpatbhai Lad