Effect of black tea consumption on onset of action of benzodiazepines in children: A case–control study

Introduction: Benzodiazepines (lorazepam and diazepam) are the drugs that have calming effects, but caffeine of black tea is a stimulant. Hence, taking black tea along with benzodiazepines might block the calming effects of the latter. In our locality, giving black tea to the children is a regular sociocultural practice by their parents. Objective: To know the effect of black tea consumption on onset of action of benzodiazepines in children. Methods: An observational analytic matched case–control study was done in our department from January 2015 to June 2015 subjected to interview schedule by simple consecutive sampling, and data were analyzed using SPSS version 24 software after proper consent and ethical committee approval. Inclusion criteria of cases were any child taking black tea routinely between 1 and 15 years of age attending our outpatient department or inpatient department requiring intravenous (IV) benzodiazepines medications, and exclusion criteria were critically ill children, having chronic liver or kidney diseases, and children taking anticonvulsants regularly. Children of identical age groups, not taking black tea at all, requiring IV benzodiazepines were taken as controls. Results: An independent t-test showed a significant difference in the onset of action of lorazepam in black tea drinkers (M=5.44 h, standard deviation [SD]=2.43h) and in non-drinkers (M=1.65 h, SD=0.74h); t (99.06)=13.94h, p=0.016 and for diazepam in drinkers (M=1.65 h, SD=0.74h) and in non-drinkers (M=0.93 h, SD=0.37h); t (98.23)=16.58h, p=0.005. Conclusion: Black tea delays the onset of actions of benzodiazepines. Hence, it is advisable not to give black tea to the children, and further studies on this aspect are warranted

Serum ferritin as a diagnostic marker for cardiac iron overload among beta-thalassemia major children

Introduction: Beta-thalassemia major is the most common chronic hemolytic anemia. It is a well-comprehended fact that the toxic effects of iron overload particularly the cardiomyopathy are the major complication that roots from beta-thalassemia major children. Therefore, timely diagnosis is crucial to optimize the long-term gain. Objective: The objective of the study is to find the cutoff level of serum ferritin for early diagnosis of cardiac iron overload. Materials and Methods: This study was an observational analytical cross-sectional diagnostic study which was conducted from November 2016 to October 2018. With due approval of Institutional Ethics Committee and after taking proper informed consent from the parents and/or legal heir, 105 thalassemic children were enrolled in the study by simple consecutive sampling after satisfying the pre-defined inclusion and exclusion criteria. In this study, two-dimensional Doppler echocardiography was used to detect cardiac iron overload. Serum ferritin levels were estimated, and cutoff values were calculated for each of the echocardiographic parameters of cardiac iron overload, i.e. ejection fraction (EF), left ventricular end-diastolic diameter (LVEDD), and left ventricular end-systolic diameter (LVESD) by receiver operating characteristic curve analysis. Sensitivity (Sn), specificity (Sp), positive predictive value, and negative predictive value were calculated with considering p<0.05 as statistically significant. Results: The mean age of the study participants was 9±3 years. Cutoff value of serum ferritin for detecting abnormality in EF was 3286 ng/ml with Sn of 76.1% and Sp of 88.1%. Similarly, for detecting abnormal LVEDD, cutoff value of serum ferritin was 4640 ng/ml with Sn of 70.1% and Sp of 98.6%, and for LVESD, it was 3286 ng/ml with Sn of 90% and Sp of 70.5%. Conclusion: The serum ferritin level can be used as a reliable marker of myocardial iron overload among childhood beta-thalassemia and hence can be used as an important screening tool

Pulse oximetry as a screening tool for congenital heart disease in neonates: A diagnostic study

Introduction: Many studies have been done for screening of congenital heart disease (CHD) in the neonatal period utilizing pulse oximetry as a screening tool along with routine clinical assessment, but none of them from our province. Objective: The objective of the study was to find out the diagnostic accuracy of pulse oximeter at three different sites as a screening tool to diagnose CHD among neonates. Methods: A diagnostic study was conducted in neonatal intensive care unit of a tertiary care hospital of Odisha from October 2016 to September 2018 after approval from the Institutional Ethics Committee. Three hundred and seventy-four neonates (both inborn and outborn) with gestational age >34 weeks were included in the study. Oxygen saturation (SpO2) in the right hand (RH), right foot (RF), and left foot (LF) was estimated by pulse oximeter among all participants after 10 min of postnatal life. All the study subjects were evaluated by two-dimensional (2D) echocardiography for the detection of CHDs. All the diagnostic accuracy tests (sensitivity [Sn], specificity [Sp], positive predictive value, negative predictive value, and diagnostic odds ratio) were calculated taking 2D echocardiography as the gold standard with software, and for all statistical purpose, p<0.05 was considered statistically significant. Results: Cutoff value of the RH SpO2 was 90.0% with Sn of 68.80% and Sp of 98.20%; area under curve (AUC) 0.851 (0.766 and 0.914), p<0.001, for the RF, SpO2 was 90.0% with Sn 78.0% and Sp 92.1%; AUC 0.865 (0.782 and 0.925), p<0.001, and for LF, it was 87% with Sn 77.1% and Sp 94.0%; AUC 0.864 (0.781 and 0.924), p<0.001. Conclusion: Along with the clinical skills, pulse oximetry can be used as an early screening tool for the detection of CHD in the neonatal period and of three different sites, RF found to be better

Survival of malarial acute kidney injury in children: A prospective analytical study

Introduction: The renal involvement has been reported in Plasmodium falciparum, Plasmodium malariae, and recently in Plasmodium vivax infection. Although malaria is highly endemic in the rural locality of Odisha and a significant proportion of severe malaria causes acute renal complication, there is no definite study on the survival of malarial acute kidney injury (AKI) in children of the setup of the current study. Objective: The objective of the study was to find out the survival of malarial AKI in children. Methods: A prospective analytical study was conducted from October 2016 to September 2018 in the postgraduate department of pediatrics, of a tertiary care hospital in Odisha, after approval from the Institutional Ethics Committee. Children with smear-positive and/or quantitative buffy coat (QBC) positive malaria were included in the study. All the relevant data (age, gender, duration of hospital stays, stages of AKI, signs, and symptoms of AKI, serum urea and creatinine, electrolytes, and routine hemogram) were collected, validated and results were analyzed in terms of one-way ANOVA and Kaplan–Meier survival analysis. Results: Out of 202 malarial cases, 50.4% (102) cases were found to be suffering from malarial AKI. Out of 102 malarial AKI children, 68% were affected due to falciparum infection, 12% due to vivax, and rest 20% due to mixed infection. The median duration of survival in days between three stages of AKI was significant as evidenced by Tarone-Ware Chi-square=48.365 (df=2), p=0.000. Conclusion: Mortality was 6% and all of these deaths belong to Stage 3 AKI; furthermore, the morbidities are more in Stage 3 as compared to other stages

Globulin seed storage protein based genotyping and Study of genetic diversity in core accessions of mungbean under drought stress

Globulin seed storage protein profiles of 19 mungbean genotypes including two wild forms of Vigna radiata var. sublobata(TCR 20 and TCR 213) and two standard  checks(T 2-1 and LGG 460) were analysed by sodium dodecyl sulphate polyacrylamide gel electrophoresis (SDS-PAGE). Thirteen genotypes could be clearly identified based on genotype-specific seed protein fingerprints. The combined dendrogram showed six genetic clusters within 68% phenon level. The clustering based on the combined clustering analysis revealed discrimination of all test genotypes even immediately beyond 88% phenon level, whereas individual clustering analysis based on protein and agro-morphological level failed to do so. Nipania munga, TCR 213, T 2-1, LGG 460, TCR 20 and Banapur local B were identified to be highly divergent genotypes. TCR 20 appears to have more genetic proximity to the mungbean genotypes than TCR 213. T 2-1, LGG 460 and TCR 20 are potentially high yielding. These may serve as valuable materials for recombination breeding in mungbean

Evaluation and Multivariate Analysis of Cowpea [Vigna unguiculata (L.) Walp] Germplasm for Selected Nutrients—Mining for Nutri-Dense Accessions

A total of 120 highly diverse cowpea [Vigna unguiculata (L.) Walp] genotypes, including indigenous and exotic lines, were evaluated for different biochemical traits using AOAC official methods of analysis and other standard methods. The results exhibited wide variability in the content of proteins (ranging from 19.4 to 27.9%), starch (from 27.5 to 42.7 g 100 g−1), amylose (from 9.65 to 21.7 g 100 g−1), TDF (from 13.7 to 21.1 g 100 g−1), and TSS (from 1.30 to 8.73 g 100 g−1). The concentration of anti-nutritional compounds like phenols and phytic acid ranged from 0.026 to 0.832 g 100 g−1 and 0.690 to 1.88 g 100 g−1, respectively. The correlation coefficient between the traits was calculated to understand the inter-trait relationship. Multivariate analysis (PCA and HCA) was performed to identify the major traits contributing to variability and group accessions with a similar profile. The first three principal components, i.e., PC1, PC2, and PC3, contributed to 62.7% of the variation, where maximum loadings were from starch, followed by protein, phytic acid, and dietary fiber. HCA formed six distinct clusters at a squared Euclidean distance of 5. Accessions in cluster I had high TDF and low TSS content, while cluster II was characterized by low amylose content. Accessions in cluster III had high starch, low protein, and phytic acid, whereas accessions in cluster IV contained high TSS, phenol, and low phytic acid. Cluster V was characterized by high protein, phytic acid, TSS, and phenol content and low starch content, and cluster VI had a high amount of amylose and low phenol content. Some nutri-dense accessions were identified from the above-mentioned clusters, such as EC169879 and IC201086 with high protein (>27%), TSS, amylose, and TDF content. These compositions are promising to provide practical support for developing high-value food and feed varieties using effective breeding strategies with a higher economic value

Development and optimization of NIRS prediction models for simultaneous multi-trait assessment in diverse cowpea germplasm

Cowpea (Vigna unguiculata (L.) Walp.) is one such legume that can facilitate achieving sustainable nutrition and climate change goals. Assessing nutritional traits conventionally can be laborious and time-consuming. NIRS is a technique used to rapidly determine biochemical parameters for large germplasm. NIRS prediction models were developed to assess protein, starch, TDF, phenols, and phytic acid based on MPLS regression. Higher RSQexternal values such as 0.903, 0.997, 0.901, 0.706, and 0.955 were obtained for protein, starch, TDF, phenols, and phytic acid respectively. Models for all the traits displayed RPD values of >2.5 except phenols and low SEP indicating the excellent prediction of models. For all the traits worked, p-value ≥ 0.05 implied the accuracy and reliability score >0.8 (except phenol) ensured the applicability of the models. These prediction models will facilitate high throughput screening of large cowpea germplasm in a non-destructive way and the selection of desirable chemotypes in any genetic background with huge application in cowpea crop improvement programs across the world

Strategies for identifying stable lentil cultivars (Lens culinaris Medik) for combating hidden hunger, malnourishment, and climate variability

Iron and zinc malnutrition is a global humanitarian concern that mostly affects newborns, children, and women in low- and middle-income countries where plant-based diets are regularly consumed. This kind of malnutrition has the potential to result in a number of immediate and long-term implications, including stunted growth, an elevated risk of infectious diseases, and poor development, all of which may ultimately cause children to not develop to the fullest extent possible. A determination of the contributions from genotype, environment, and genotype by environment interactions is necessary for the production of nutrient-dense lentil varieties that offer greater availability of iron and zinc with a high level of trait stability. Understanding the genotype and environmental parameters that affect G x E (Genotype x Environment) interactions is essential for plant breeding. We used GGE(Genotype, Genotype x Environment interactions) and AMMI (Additive Main effects and Multiplicative Interaction) models to study genetic stability and GE(Genotype x Environment interactions) for grain Fe, Zn, Al, and anti-nutritional factors like phytic acid content in sixteen commercially produced lentil cultivars over several different six geographical locations across India. Significant genetic variability was evident in the Fe and Zn levels of different genotypes of lentils. The amounts of grain iron, zinc, and phytic acid varied from 114.10 to 49.90 mg/kg, 74.62 to 21.90 mg/kg, and 0.76 to 2.84 g/100g (dw) respectively. The environment and GE (Genotype x Environment interactions) had an impact on the concentration of grain Fe, Zn, and phytic acid (PA). Heritability estimations ranged from low to high (53.18% to 99.48%). The study indicated strong correlation between the contents of Fe and Zn, a strategy for simultaneously increasing Fe and Zn in lentils may be recommended. In addition, our research revealed that the stable and ideal lentil varieties L4076 (Pusa Shivalik) for Fe concentration and L4717 (Pusa Ageti) for Zn content, which have lower phytic acid contents, will not only play an essential role as stable donors in the lentil bio-fortification but will also enable the expansion of the growing area of bio-fortified crops for the security of health and nutrition

Dynamics of Hot QCD Matter -- Current Status and Developments

The discovery and characterization of hot and dense QCD matter, known as Quark Gluon Plasma (QGP), remains the most international collaborative effort and synergy between theorists and experimentalists in modern nuclear physics to date. The experimentalists around the world not only collect an unprecedented amount of data in heavy-ion collisions, at Relativistic Heavy Ion Collider (RHIC), at Brookhaven National Laboratory (BNL) in New York, USA, and the Large Hadron Collider (LHC), at CERN in Geneva, Switzerland but also analyze these data to unravel the mystery of this new phase of matter that filled a few microseconds old universe, just after the Big Bang. In the meantime, advancements in theoretical works and computing capability extend our wisdom about the hot-dense QCD matter and its dynamics through mathematical equations. The exchange of ideas between experimentalists and theoreticians is crucial for the progress of our knowledge. The motivation of this first conference named "HOT QCD Matter 2022" is to bring the community together to have a discourse on this topic. In this article, there are 36 sections discussing various topics in the field of relativistic heavy-ion collisions and related phenomena that cover a snapshot of the current experimental observations and theoretical progress. This article begins with the theoretical overview of relativistic spin-hydrodynamics in the presence of the external magnetic field, followed by the Lattice QCD results on heavy quarks in QGP, and finally, it ends with an overview of experiment results.Comment: Compilation of the contributions (148 pages) as presented in the `Hot QCD Matter 2022 conference', held from May 12 to 14, 2022, jointly organized by IIT Goa & Goa University, Goa, Indi