Drug utilization study and prescribing patterns in psychiatry patients at a tertiary care hospital

Background: The Drug utilization research (DUR) compares drug use between different countries and regions and is used to assess the rationality of prescribing pattern of the drug therapy. With this background we decided to evaluate antipsychotic drugs prescribing pattern in the psychiatric patients in a tertiary care hospital.Methods: The study was carried out at Department of Psychiatry, DSMCH. It was open label, cross - sectional, prescribed Documents based study. Duration of the study was one month (May-2017). Out-Patient number, age, sex, diagnosis, prescribed generic name, brand name, dose, route of administration, duration of therapy obtained from the Prescription register of Out - Patient Department of the Psychiatry.Results: The clinical experiences of the Psychiatrist I, II and III were 17 years, 35 years and 10 years respectively. The Psychiatrist I, II and III prescribed treatment for 36 (31.9%), 61 (54%) and 16 (14.2%) patients respectively. Among overall (n=113) patients (average age 38.9 years), male n=56 (49.6%) and female=57 (50.4%) were treated by all the three psychiatrists. The percentage of prescription of various drugs used were: Escitalopram (15.7%), Clonazepam (14.6%), Sertraline (8.7%), Risperidone (7.5%), Propranolol (6.7%), Olanzapine (6.3%), Quetiapine (5.9%), Trihexyphenidyl (5.5%), Amitriptyline (5.1%) and Other prescribed drugs, were between (0.4 to 2.8%).Conclusions: From this study, it can conclude that rational usage of drugs were followed in this study. All three prescribers (Psychiatrist I, II, and III) prescriptions were found to be rationale

Mapping inequalities in exclusive breastfeeding in low- and middle-income countries, 2000–2018

Exclusive breastfeeding (EBF)—giving infants only breast-milk for the first 6 months of life—is a component of optimal breastfeeding practices effective in preventing child morbidity and mortality. EBF practices are known to vary by population and comparable subnational estimates of prevalence and progress across low- and middle-income countries (LMICs) are required for planning policy and interventions. Here we present a geospatial analysis of EBF prevalence estimates from 2000 to 2018 across 94 LMICs mapped to policy-relevant administrative units (for example, districts), quantify subnational inequalities and their changes over time, and estimate probabilities of meeting the World Health Organization’s Global Nutrition Target (WHO GNT) of ≥70% EBF prevalence by 2030. While six LMICs are projected to meet the WHO GNT of ≥70% EBF prevalence at a national scale, only three are predicted to meet the target in all their district-level units by 2030

Global, regional, and national progress towards Sustainable Development Goal 3.2 for neonatal and child health: all-cause and cause-specific mortality findings from the Global Burden of Disease Study 2019

Background Sustainable Development Goal 3.2 has targeted elimination of preventable child mortality, reduction of neonatal death to less than 12 per 1000 livebirths, and reduction of death of children younger than 5 years to less than 25 per 1000 livebirths, for each country by 2030. To understand current rates, recent trends, and potential trajectories of child mortality for the next decade, we present the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 findings for all-cause mortality and cause-specific mortality in children younger than 5 years of age, with multiple scenarios for child mortality in 2030 that include the consideration of potential effects of COVID-19, and a novel framework for quantifying optimal child survival. Methods We completed all-cause mortality and cause-specific mortality analyses from 204 countries and territories for detailed age groups separately, with aggregated mortality probabilities per 1000 livebirths computed for neonatal mortality rate (NMR) and under-5 mortality rate (USMR). Scenarios for 2030 represent different potential trajectories, notably including potential effects of the COVID-19 pandemic and the potential impact of improvements preferentially targeting neonatal survival. Optimal child survival metrics were developed by age, sex, and cause of death across all GBD location-years. The first metric is a global optimum and is based on the lowest observed mortality, and the second is a survival potential frontier that is based on stochastic frontier analysis of observed mortality and Healthcare Access and Quality Index. Findings Global U5MR decreased from 71.2 deaths per 1000 livebirths (95% uncertainty interval WI] 68.3-74-0) in 2000 to 37.1 (33.2-41.7) in 2019 while global NMR correspondingly declined more slowly from 28.0 deaths per 1000 live births (26.8-29-5) in 2000 to 17.9 (16.3-19-8) in 2019. In 2019,136 (67%) of 204 countries had a USMR at or below the SDG 3.2 threshold and 133 (65%) had an NMR at or below the SDG 3.2 threshold, and the reference scenario suggests that by 2030,154 (75%) of all countries could meet the U5MR targets, and 139 (68%) could meet the NMR targets. Deaths of children younger than 5 years totalled 9.65 million (95% UI 9.05-10.30) in 2000 and 5.05 million (4.27-6.02) in 2019, with the neonatal fraction of these deaths increasing from 39% (3.76 million 95% UI 3.53-4.021) in 2000 to 48% (2.42 million; 2.06-2.86) in 2019. NMR and U5MR were generally higher in males than in females, although there was no statistically significant difference at the global level. Neonatal disorders remained the leading cause of death in children younger than 5 years in 2019, followed by lower respiratory infections, diarrhoeal diseases, congenital birth defects, and malaria. The global optimum analysis suggests NMR could be reduced to as low as 0.80 (95% UI 0.71-0.86) deaths per 1000 livebirths and U5MR to 1.44 (95% UI 1-27-1.58) deaths per 1000 livebirths, and in 2019, there were as many as 1.87 million (95% UI 1-35-2.58; 37% 95% UI 32-43]) of 5.05 million more deaths of children younger than 5 years than the survival potential frontier. Interpretation Global child mortality declined by almost half between 2000 and 2019, but progress remains slower in neonates and 65 (32%) of 204 countries, mostly in sub-Saharan Africa and south Asia, are not on track to meet either SDG 3.2 target by 2030. Focused improvements in perinatal and newborn care, continued and expanded delivery of essential interventions such as vaccination and infection prevention, an enhanced focus on equity, continued focus on poverty reduction and education, and investment in strengthening health systems across the development spectrum have the potential to substantially improve USMR. Given the widespread effects of COVID-19, considerable effort will be required to maintain and accelerate progress. Copyright (C) 2021 The Author(s). Published by Elsevier Ltd

Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

BACKGROUND Regular, detailed reporting on population health by underlying cause of death is fundamental for public health decision making. Cause-specific estimates of mortality and the subsequent effects on life expectancy worldwide are valuable metrics to gauge progress in reducing mortality rates. These estimates are particularly important following large-scale mortality spikes, such as the COVID-19 pandemic. When systematically analysed, mortality rates and life expectancy allow comparisons of the consequences of causes of death globally and over time, providing a nuanced understanding of the effect of these causes on global populations. METHODS The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 cause-of-death analysis estimated mortality and years of life lost (YLLs) from 288 causes of death by age-sex-location-year in 204 countries and territories and 811 subnational locations for each year from 1990 until 2021. The analysis used 56 604 data sources, including data from vital registration and verbal autopsy as well as surveys, censuses, surveillance systems, and cancer registries, among others. As with previous GBD rounds, cause-specific death rates for most causes were estimated using the Cause of Death Ensemble model-a modelling tool developed for GBD to assess the out-of-sample predictive validity of different statistical models and covariate permutations and combine those results to produce cause-specific mortality estimates-with alternative strategies adapted to model causes with insufficient data, substantial changes in reporting over the study period, or unusual epidemiology. YLLs were computed as the product of the number of deaths for each cause-age-sex-location-year and the standard life expectancy at each age. As part of the modelling process, uncertainty intervals (UIs) were generated using the 2·5th and 97·5th percentiles from a 1000-draw distribution for each metric. We decomposed life expectancy by cause of death, location, and year to show cause-specific effects on life expectancy from 1990 to 2021. We also used the coefficient of variation and the fraction of population affected by 90% of deaths to highlight concentrations of mortality. Findings are reported in counts and age-standardised rates. Methodological improvements for cause-of-death estimates in GBD 2021 include the expansion of under-5-years age group to include four new age groups, enhanced methods to account for stochastic variation of sparse data, and the inclusion of COVID-19 and other pandemic-related mortality-which includes excess mortality associated with the pandemic, excluding COVID-19, lower respiratory infections, measles, malaria, and pertussis. For this analysis, 199 new country-years of vital registration cause-of-death data, 5 country-years of surveillance data, 21 country-years of verbal autopsy data, and 94 country-years of other data types were added to those used in previous GBD rounds. FINDINGS The leading causes of age-standardised deaths globally were the same in 2019 as they were in 1990; in descending order, these were, ischaemic heart disease, stroke, chronic obstructive pulmonary disease, and lower respiratory infections. In 2021, however, COVID-19 replaced stroke as the second-leading age-standardised cause of death, with 94·0 deaths (95% UI 89·2-100·0) per 100 000 population. The COVID-19 pandemic shifted the rankings of the leading five causes, lowering stroke to the third-leading and chronic obstructive pulmonary disease to the fourth-leading position. In 2021, the highest age-standardised death rates from COVID-19 occurred in sub-Saharan Africa (271·0 deaths [250·1-290·7] per 100 000 population) and Latin America and the Caribbean (195·4 deaths [182·1-211·4] per 100 000 population). The lowest age-standardised death rates from COVID-19 were in the high-income super-region (48·1 deaths [47·4-48·8] per 100 000 population) and southeast Asia, east Asia, and Oceania (23·2 deaths [16·3-37·2] per 100 000 population). Globally, life expectancy steadily improved between 1990 and 2019 for 18 of the 22 investigated causes. Decomposition of global and regional life expectancy showed the positive effect that reductions in deaths from enteric infections, lower respiratory infections, stroke, and neonatal deaths, among others have contributed to improved survival over the study period. However, a net reduction of 1·6 years occurred in global life expectancy between 2019 and 2021, primarily due to increased death rates from COVID-19 and other pandemic-related mortality. Life expectancy was highly variable between super-regions over the study period, with southeast Asia, east Asia, and Oceania gaining 8·3 years (6·7-9·9) overall, while having the smallest reduction in life expectancy due to COVID-19 (0·4 years). The largest reduction in life expectancy due to COVID-19 occurred in Latin America and the Caribbean (3·6 years). Additionally, 53 of the 288 causes of death were highly concentrated in locations with less than 50% of the global population as of 2021, and these causes of death became progressively more concentrated since 1990, when only 44 causes showed this pattern. The concentration phenomenon is discussed heuristically with respect to enteric and lower respiratory infections, malaria, HIV/AIDS, neonatal disorders, tuberculosis, and measles. INTERPRETATION Long-standing gains in life expectancy and reductions in many of the leading causes of death have been disrupted by the COVID-19 pandemic, the adverse effects of which were spread unevenly among populations. Despite the pandemic, there has been continued progress in combatting several notable causes of death, leading to improved global life expectancy over the study period. Each of the seven GBD super-regions showed an overall improvement from 1990 and 2021, obscuring the negative effect in the years of the pandemic. Additionally, our findings regarding regional variation in causes of death driving increases in life expectancy hold clear policy utility. Analyses of shifting mortality trends reveal that several causes, once widespread globally, are now increasingly concentrated geographically. These changes in mortality concentration, alongside further investigation of changing risks, interventions, and relevant policy, present an important opportunity to deepen our understanding of mortality-reduction strategies. Examining patterns in mortality concentration might reveal areas where successful public health interventions have been implemented. Translating these successes to locations where certain causes of death remain entrenched can inform policies that work to improve life expectancy for people everywhere. FUNDING Bill & Melinda Gates Foundation

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Not AvailableGoat constitutes almost 42.1 % of the total livestock population of the A & N islands. Generally the livestock are free from many dreaded diseases which are prevalent in mainland, India. However, in the present study the outbreak of contagious ecthyma (Orf) in goats of Andaman and Nicobar Islands was investigated and confirmed by PCR assay. The outbreak of orf was reported from different villages of the South Andaman. A total of 171 clinical cases of contagious ecthyma were reported during the different outbreak reported during the year 2017. The scab samples from the affected goats were collected and processed for extraction of viral DNA. Nested PCR assay was done by using the forward and reverse primers of parapox virus. The results revealed the confirmation of the outbreak of Contagious ecthyma (orf) virus in the goats of Andaman & Nicobar Islands for the first timeNot Availabl

Drug utilization study and prescribing patterns in psychiatry patients at a tertiary care hospital

Background: The Drug utilization research (DUR) compares drug use between different countries and regions and is used to assess the rationality of prescribing pattern of the drug therapy. With this background we decided to evaluate antipsychotic drugs prescribing pattern in the psychiatric patients in a tertiary care hospital.Methods: The study was carried out at Department of Psychiatry, DSMCH. It was open label, cross - sectional, prescribed Documents based study. Duration of the study was one month (May-2017). Out-Patient number, age, sex, diagnosis, prescribed generic name, brand name, dose, route of administration, duration of therapy obtained from the Prescription register of Out - Patient Department of the Psychiatry.Results: The clinical experiences of the Psychiatrist I, II and III were 17 years, 35 years and 10 years respectively. The Psychiatrist I, II and III prescribed treatment for 36 (31.9%), 61 (54%) and 16 (14.2%) patients respectively. Among overall (n=113) patients (average age 38.9 years), male n=56 (49.6%) and female=57 (50.4%) were treated by all the three psychiatrists. The percentage of prescription of various drugs used were: Escitalopram (15.7%), Clonazepam (14.6%), Sertraline (8.7%), Risperidone (7.5%), Propranolol (6.7%), Olanzapine (6.3%), Quetiapine (5.9%), Trihexyphenidyl (5.5%), Amitriptyline (5.1%) and Other prescribed drugs, were between (0.4 to 2.8%).Conclusions: From this study, it can conclude that rational usage of drugs were followed in this study. All three prescribers (Psychiatrist I, II, and III) prescriptions were found to be rationale

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Not AvailableBackground: Transmission of antibiotic resistance from animal food chain to human through animal food-borne pathogens have led to increased public concern. Wider surveillance on prevalence of antibiotic resistance in E. coli will provide information on evolution of resistance in various geographical locations. The purpose of this study was to investigate the presence of antimicrobial resistance of E. coli isolates from poultry under various farming system in A and N Islands and resistance genes of tet, ctx-M and aac encoding the isolates. Methods: Isolates were obtained from cloacal swabs in poultry under various farming systems and tested against major antimicrobial derivatives to study multi drug resistance. The presence of genes associated with resistance to tetracycline (tet A), ESBL (CTX-M) and Gentamycin (aac(3)-IV) were determined by PCR. Result: A total of 126 cloacal samples were analysed out of which 31.38% of the E.coli isolates from poultry under various farming systems were producing extended spectrum beta-lactamases and were multiple antimicrobial resistant. Poultry birds of commercial farms showed higher resistance levels (37.5%) than organised farms (24.76%) and desi birds (31.88%). Results indicate a high level of multi-drug resistance is emerging even in desi birds. It is suggested that an antimicrobial resistance surveillance program is needed in A and N Islands in order to detect bacterial resistance among rural poultry production as the 80 percentage of total poultry population belong to desi birds.Not Availabl

Origin, genetic diversity and evolution of Andaman local duck, a native duck germplasm of an insular region of India.

Domestic ducks are of paramount importance as a cheap source of protein in rural India. Andaman local duck (ALD) is an indigenous avian genetic resource of Andaman and Nicobar islands (ANI) and is mainly distributed in Middle and Northern parts of these islands. Negligence has brought this breed on the edge of extinction necessitating immediate conservation efforts. Here, we report the genetic diversity, population structure and matrilineal genetic root of ALD. Partial mtDNA D-loop sequences were analyzed in 71 ALD samples and analysis revealed 19 polymorphic sites and 13 haplotypes. Estimated haplotype (Hd ± SD) and nucleotide diversity (π ± SD) were 0.881 ± 0.017 and 0.00897 ± 0.00078 respectively. The high genetic diversity of ALD indicates introgression of genetic material from other local duck breeds. In addition, it can be postulated that ALD bearing high genetic diversity has strong ability to adapt to environmental changes and can withstand impending climate change. Phylogenetic and network analysis indicate that ALD falls under Eurasian clade of mallard and ALD forms three clusters; one cluster is phylogenetically close to Southeast Asian countries, one close to Southern part of mainland India and the third one forms an independent cluster. Therefore, ALD might have migrated either from Southeast Asian countries which enjoy a close cultural bondage with ANI from time immemorial or from Southern part of India. The independent cluster may have evolved locally in these islands and natural selection pressure imposed by environmental conditions might be the driving force for evaluation of these duck haplotypes; which mimics Darwin's theory of natural selection. The results of the study will be beneficial for formulating future breeding programme and conservation strategy towards sustainable development of the duck breed

Mitochondrial landscape of indigenous pig germplasm of Andaman and Nicobar Islands

Nicobari pig and Andaman Desi pig are indigenous pig germplasm of Andaman and Nicobar islands, India. Over the last two decades, the pig breeds witnessed a rapid decline in population, necessitating immediate characterization and conservation. The present study depicts the complete mitochondrial genome sequence of Nicobari pig and Andaman Desi pig. The mitogenomes of both the breeds encode 37 genes including 13 protein coding genes, 22 tRNAs, and two ribosomal RNA genes. In addition, a control region (D-loop) was also present. Phylogenetic analysis showed that Nicobari is phylogenetically close to Banna mini and Breed I pig, whereas Andaman Desi pig is close to Mong cai and Jinhua pig breeds. The results of the study will be helpful for formulating of conservation strategy of the native swine breeds

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Not AvailableTrinket cattle are the inhabitant of a small island called Trinket, which is one of the picturesque islands of Andaman. This herd is thought to be of Danish leftover during their dynasty in Nicobar archipelago. When the island was abandoned by foreign invaders, indigenes utilized the animals for the purpose of meat. As a result, the cattle became semi-feral in nature. After the Great Sumatra earthquake and tsunami of Indian Ocean in 2004, Trinket island was left abandoned by indigenes and the cattle became totally feral in nature. To trace the genetic root of the cattle, this study has been undertaken based on the sequence information of the mitochondrial D-loop and cytochrome b gene. The genomic DNA was extracted from the blood samples of the Trinket cattle and was used for amplification of mitochondrial markers, and the sequence information was generated by Sanger sequencing. The analysis of sequence information revealed that the Trinket cattle belongs to Bos indicus (I) haplotype, sub-haplotype I2. The presence of I2 sub-haplotype in Trinket cattle may be due to the expansion of this I2 haplotype towards Southeast Asian countries. This is a novel input for the formulation of breeding strategy towards conservation of eco-friendly sustainable livestock in the isolated island ecosystem.Not Availabl