A study of high-risk factors in ante-natal women at a tertiary care centre

Background: High-risk pregnancy refers to any condition in pregnancy that increases risk for morbidity or mortality in mother, fetus and neonate. Globally, nearly 5,29,000 women die due to pregnancy related complications. In India, 20-30% of the pregnant patients contribute to high risk group. This study was conducted to determine different high-risk factors prevalent in antenatal women in Haryana. Objective of this study was to find out prevalence of different high-risk factors in antenatal women.Methods: Data of all antenatal high-risk patients attending OPD during one year was taken from hospital record registers. Maternal characteristics such as age, gravida/parity, gestational age, and gestational age at the time of first visit were noted. High risk factors identified were noted.Results: The records of total 10073 antenatal women were analyzed, 1283 were included in the high-risk group. Most prevalent high-risk factors found were previous cesarean section (31.04%), anaemia (31.02%), malpresentation (12.93%) and thyroid disorders (13.09%).Conclusions: Antenatal surveillance for the high-risk factors complicating pregnancy may prevent or treat most of the complications. Authors should develop strategies for early screening of high-risk pregnancy cases to prevent maternal and perinatal mortality and to improve the maternal and perinatal outcome

Impact of different grades of anaemia severity during pregnancy on maternal and neonatal outcomes: a prospective study

Background: Anaemia in pregnancy is a universal health problem that may cause a number of obstetrical and neonatal complications. This prospective observational study aims to evaluate and compare maternal and neonatal outcomes in different grades of anaemia severity.Methods: A total of 400 pregnant women with anaemia in third trimester were classified into three groups according to haemoglobin (Hb) levels-group I with Hb:10-10.9 g/dl, group II with Hb:7-9.9g/dl and group III with Hb<7 g/dl. Maternal and neonatal outcomes of women with different severity of anaemia were analyzed and compared. Two groups means were compared by Student’s t-independent test and more than two groups means by one way analysis of variance test followed by post-hoc pairwise comparison using Bonferroni test.Results: The prevalence of anaemia in the study population was 35.2%. Mild, moderate and severe anaemia were found in 58% (n=232), 29.0% (n=116) and 13% (n=52) women respectively. A statistically significant difference in maternal outcomes such as Preterm labor (p=0.001), Prelabor premature rupture of membranes (p=0.044), Intrauterine growth restriction (p=0.002) and postpartum hemorrhage (p=0.001) was observed amongst the three groups. Cardiac failure occurred in 26.9% (n=14) and mortality in 13.4% (n=7) women with severe anaemia. Amongst the neonatal morbidities, the rate of low birth weight, preterm birth, respiratory distress syndrome, septicaemia, pneumonitis and jaundice revealed an increasing trend with rising severity of anaemia which was statistically significant.Conclusions: Targeted interventions addressing early detection and appropriate treatment in early pregnancy can prevent and avoid dismal maternal and neonatal consequences

Optimization of growth parameters of phytase producing fungus using RSM

955-959This study presents optimum parameters for phytase enzyme secretion by fungus (NSF-7 & NSF-9) using RSM based on Box-Behnken model. Fisher’s statistical testing was performed for analysis of variance (ANOVA) for quadratic regression equations of both fungus. Optimum conditions for phytase secretion by NSF-7 and NSF-9, respectively, were: pH, 4.4-4.7, 4.0-4.5; temperature, 28-32°, 32-35°C; and substrate concentration, 0.29-0.32, 0.27-0.30 g/100 m

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Not AvailableMicroRNA are 20–24 nt, non-coding, single stranded molecule regulating traits and stress response. Tissue and time specifc expression limits its detection, thus is major challenge in their discovery. Wheat has limited 119 miRNAs in MiRBase due to limitation of conservation based methodology where old and new miRNA genes gets excluded. This is due to origin of hexaploid wheat by three successive hybridization, older AA, BB and younger DD subgenome. Species specifc miRNA prediction (SMIRP concept) based on 152 thermodynamic features of training dataset using support vector machine learning approach has improved prediction accuracy to 97.7%. This has been implemented in TamiRPred (http://webtom.cabgrid.res.in/tamirpred). We also report highest number of putative miRNA genes (4464) of wheat from whole genome sequence populated in database developed in PHP and MySQL. TamiRPred has predicted 2092 (>45.10%) additional miRNA which was not predicted by miRLocator. Predicted miRNAs have been validated by miRBase, small RNA libraries, secondary structure, degradome dataset, star miRNA and binding sites in wheat coding region. This tool can accelerate miRNA polymorphism discovery to be used in wheat trait improvement. Since it predicts chromosomewise miRNA genes with their respective physical location thus can be transferred using linked SSR markers. This prediction approach can be used as model even in other polyploid crops.Not Availabl