Introduction: - Anemia is major health problem which affects children, women of reproductive age groups to a signicant extent. This study was done to study prevalence of anemia in Mumbai across different age groups. Aims And Objectives: - To study prevalence of nutritional anemia in Mumbai with respect to age group & gender To compare prevalence of vitamin B12 deciency anemia with iron deciency anemia To establish correlation between RBC indices with serum Iron & Serum B12 levels Method: - We did a retrospective analysis of serum iron prole, CBC, Vitamin B12, Folic acid data obtained in referral laboratory in Mumbai over a span of 3 years (2019-2021). Population studied belonged to Mumbai metropolitan region. CBC was analyzed on DXH Coulter. Serum Iron, serum ferritin, TIBC, Vitamin B12 &serum folic acid were analyzed on Cobas analyzers. We compared & correlated results according to gender & age Results: - Prevalence of low serum Iron & serum ferritin was seen in females as compared to males (P< 0.001). However low levels of vitamin B12 was signicantly seen in males as compared to females (P<0.001). Low serum iron, Ferritin, MCH, MCV and high TIBC were signicantly associated with low Hemoglobin (P<0.001)

Context: Handling of biological samples in a laboratory is labour intensive complex process and automation has become a necessity for optimizing health care costs, reduce medical errors and to aid in safety of healthcare workers. Biological Sample handling in the sample reception area involves sample tube de-capping for ready processing, sorting section-wise, scanning the sample to track its progress, distribution to various analysers and archival for storage. The aim of the present study is to evaluate the positive effects of an automatic pr Objective: e analytical automation in our clinical laboratory workow. We recently installed Beckman Automate 2550 analyser for our wor Design: kow pre & post analytical automation.This preanalytical unit processes blood specimens through automated specimen sorting, centrifugation, de-capping, labelling, aliquoting, and placement of the processed specimen in the analytical rack. We analysed the system by processing samples to test the salient features of this system. Turnaround time with increase in volume of tests with no additional manpower was analysed pre & post automation. The turnaround ti Results: me (TAT) of various laboratory processes demonstrated a signicant improvement. The number of errors experienced in tube sorting with manual processing, sorting mislabelled tubes, unlabelled tubes, specimen lost, wrong destination entered for tubes and tube mismatch was decreased post-implementation of the system. Also, increased workload was handled by the sorter efciently. Conclusions: Reduction time in pre analytical processing and sorting of samples led to signicant improvements in TAT and specimen processing after automation. The manual errors & manhours associated with sorting, labelling, aliquoting the blood samples also reduced. These results conclude that automated sample sorting improves specimen accessioning and processing workow.

Introduction: Cytogenetic abnormalities are one of the important causes of recurrent pregnancy loss or bad obstetric history and Infertility. Almost 50% of first trimester pregnancy loss and upto 20% of second trimester loss can be due to cytogenetic cause. At the same time, cytogenetic abnormalities are also detected in2-3% of cases with infertility especially in males. Methods: In this paper, wepresent our detailed analysisof13,618 of Bad Obstetric History (BOH) and infertility cases,referred for cytogenetics studies at Metropolis Healthcare Ltd, with an aim to look at chromosomal abnormalities observed in our huge dataset. This is the largest ever reported study of cytogenetic studies in BOH and infertility cases. Results: We detected chromosome abnormalities in 470 (3.45%) of 13,618 cases. Out of the 470 cases, reciprocal translocations were the highest abnormality noted in 136 (28.94%) cases, followed by chromosome 9 inversion seen in 125 (26.6%) cases and three (0.64%) cases of insertion were also observed. Inversions were seen in 76 (16.17%) cases. Robertsonian translocations were seen in 19(4.04%) cases and complex translocations were seen in 3 (0.64%) cases. Numerical abnormalities were detected in 84 (17.87%) cases where as Mosaicism was seen in 17(3.62%) cases. Conclusion:This study reinstates the importance of cytogenetic analysis in BOH and infertility cases in order to provide effective genetic counseling to guide the patients to prevent the birth of cytogenetically affected babies by informing them about the prenatal diagnostic testing options and preimplantation genetic testing methods.

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