Frequency of Parental Psychopathology in Children with Attention Deficit Hyperactivity Disorder

Parental mental health concerns place children at a significantly greater risk of lower social, psychological and physical health than children in families not affected by mental illness. Several studies have examined the extent to which psychopathology in children are closely related to parental substance use disorders or to other mental disorders. This study intended to investigate the frequency of occurrence of parental psychopathology in children with Attention Deficit/Hyperactivity Disorder and compare the characteristics of children with and without parental psychopathology. Fifty children between 7-14 years of either sex fulfilling the ICD-10 criteria for ADHD comprised the sample of this study.It would be a chart review of in-patients and out-patients who have consulted at Kasturba Hospital, Department of Psychiatry, Manipal over a two year period. Parents diagnosed with Substance Use Disorders (SUD) and other psychiatric morbidity according to ICD-10 was compared with those parents without any psychiatric illness on various Sociodemographic, clinical characteristics. Most of the parents were in the second or third decade of their life. Of the fifty patients 41(82%) were males and 9 (18%) were females. In 36(87.0 %) of the fathers had a history of substance use disorder and 5(13.0 %) it was absent. Other morbidities were also present in both parents. The findings are discussed in light of the implications

Anti-inflammatory activity of hydroalcoholic extract of mimosa pudica whole plant in rats

Background: Mimosa pudica is a traditionally used folk medicine to treat various disorders like infections, anxiety, depression, bleeding disorders, convulsions, rheumatoid arthritis, muscular pain, asthma, snake bite etc. We evaluated the anti-inflammatory activity of hydroalcoholic extract of Mimosa pudica whole plant (HAEMPWP) in rats.Methods: HAEMPWP was prepared using Soxhlets apparatus. Acute toxicity tests were done with HAEMPWP given orally to albino rats in increasing doses up to 3200 mg/ kg body weight. The anti-inflammatory action was evaluated by Carrageenan induced paw edema method. Thirty albino rats were grouped into five groups and each contained six rats. Group I (control group) received distilled water orally. Group II (standard) received Aspirin orally dissolved in distilled water. Groups III, IV and V received HAEMPWP in doses of 200 mg/kg, 400 mg/kg and 800mg/kg orally dissolved in distilled water. Data analysis was done by one way ANOVA and unpaired t test using SPSS 16 for windows.Results: HAEMPWP showed a significant anti-inflammatory activity as compared to control. There was no statistically significant dose dependent increase in the anti-inflammatory activity.Conclusions: HAEMPWP possesses significant anti-inflammatory activity and could be an effective treatment option for various inflammatory conditions

A Robust Deep Model for Improved Categorization of Legal Documents for Predictive Analytics

Predictive legal analytics is a technology used to predict the chances of successful and unsuccessful outcomes in a particular case. Predictive legal analytics is performed through automated document classification for facilitating legal experts in their classification of court documents to retrieve and understand the details of specific legal factors from legal judgments for accurate document analysis. However, extracting these factors from legal texts document is a time-consuming process. In order to facilitate the task of classifying documents, a robust method namely Distributed Stochastic Keyword Extraction based Ensemble Theil-Sen Regressive Deep Belief Reweight Boost Classification (DSKE-TRDBRBC) is proposed. The DSKE-TRDBRBC technique consists of two major processes namely Keyword Extraction and Classification. At first, the t-distributed stochastic neighbor embedding technique is applied to DSKE-TRDBRBC for keyword extraction. This in turn minimizes the time consumption for document classification. After that, the Ensemble Theil-Sen Regressive Deep Belief Reweight Boosting technique is applied for document classification. The Ensemble boosting algorithm initially constructs’ set of Theil-Sen Regressive Deep Belief neural networks to classify the input legal documents. Then the results of the Deep Belief neural network are combined to built a strong classifier by reducing the error. This aids in improving the classification accuracy. The proposed method is experimentally evaluated with various metrics such as F-measure , recall, accuracy, precision, , and computational time. The experimental results quantitatively confirm that the proposed DSKE-TRDBRBC technique achieves better accuracy with lowest computation time as compared to the conventional approaches

Drug utilization pattern in Schizophrenia

Background: Pharmacotherapy is the mainstay of treatment in schizophrenia. The economic impact of this illness is wide ranging, long lasting and huge. The emergence of newer antipsychotics has changed the prescribing pattern. Purpose of this study is to determine the prescription pattern of antipsychotic drugs and to analyse the drug utilization in patients with schizophrenia based on WHO prescribing indicators.Methods: A descriptive study was conducted for a period of 1-year duration at inpatient Department of Psychiatry of a Government Medical College in Kerala, India among 230 schizophrenic patients. The case sheets of patients meeting inclusion criteria were scrutinised to find out the antipsychotic prescription pattern and drug utilization was analysed using WHO prescribing indicators. Analysis was done using descriptive statistics.Results: Newer antipsychotics (55.2%) were prescribed slightly more in preference to older antipsychotic (44.8%) drugs. Out of the newer drugs prescribed olanzapine (20.9%) was prescribed the most followed by risperidone (18%). Haloperidol (22.9%) was the most frequently prescribed older antipsychotic. Majority (71.3%) of the patients were given more than one antipsychotics during the hospital stay. Trihexyphenidyl (27.9%) was the most frequently co-prescribed drug with antipsychotics. Average number of drugs per encounter was 4.19, 73.4% of the drugs were prescribed in their generic name, 50.4% of the encounters were with an injection prescribed. 44.4%of the drugs were prescribed from the EDL (WHO-19th edition). Average drug cost per encounter was Rs.45.43. Percentage of drug cost spent on injections was 8.44%.Conclusions: Newer antipsychotics were more prescribed for schizophrenia of which olanzapine was the commonest. Newer antipsychotics are preferred because of their propensity to cause less side effects and more efficacy. Study of pattern of drug utilization is useful for measuring the economic impact of drug use among patients thereby facilitating rational prescribing

Sesquiterpene Lactones Isolated from Elephantopus scaber L. Inhibits Human Lymphocyte Proliferation and the Growth of Tumour Cell Lines and Induces Apoptosis In Vitro

This study was designed to isolate the compounds responsible for the cytotoxic properties of South Indian Elephantopus scaber L. and further investigate their effects on quiescent and proliferating cells. Bioassay-guided isolation of the whole plant of chloroform extract of South Indian Elephantopus scaber afforded the known sesquiterpene lactone, deoxyelephantopin, and isodeoxyelephantopin whose structures were determined by spectroscopic methods. These compounds caused a dose dependent reduction in the viability of L-929 tumour cells in 72 h culture (IC50 value of 2.7 μg/mL and 3.3 μg/mL) by the cell viability assay. Both the compounds act selectively on quiescent and PHA-stimulated proliferating human lymphocytes and inhibited tritiated thymidine incorporation into cellular DNA of DLA tumour cells. The compound deoxyelephantopin at a concentration of 3 μg/mL caused maximum apoptotic cells. It also exhibited significant in vivo antitumour efficacy against DLA tumour cells. The results, therefore, indicate that the antiproliferative property of deoxyelephantopin and isodeoxyelephantopin could be used in regimens for treating tumors with extensive proliferative potencies

Finishing the euchromatic sequence of the human genome

The sequence of the human genome encodes the genetic instructions for human physiology, as well as rich information about human evolution. In 2001, the International Human Genome Sequencing Consortium reported a draft sequence of the euchromatic portion of the human genome. Since then, the international collaboration has worked to convert this draft into a genome sequence with high accuracy and nearly complete coverage. Here, we report the result of this finishing process. The current genome sequence (Build 35) contains 2.85 billion nucleotides interrupted by only 341 gaps. It covers ∼99% of the euchromatic genome and is accurate to an error rate of ∼1 event per 100,000 bases. Many of the remaining euchromatic gaps are associated with segmental duplications and will require focused work with new methods. The near-complete sequence, the first for a vertebrate, greatly improves the precision of biological analyses of the human genome including studies of gene number, birth and death. Notably, the human enome seems to encode only 20,000-25,000 protein-coding genes. The genome sequence reported here should serve as a firm foundation for biomedical research in the decades ahead

Effect of angiotensin-converting enzyme inhibitor and angiotensin receptor blocker initiation on organ support-free days in patients hospitalized with COVID-19

IMPORTANCE Overactivation of the renin-angiotensin system (RAS) may contribute to poor clinical outcomes in patients with COVID-19. Objective To determine whether angiotensin-converting enzyme (ACE) inhibitor or angiotensin receptor blocker (ARB) initiation improves outcomes in patients hospitalized for COVID-19. DESIGN, SETTING, AND PARTICIPANTS In an ongoing, adaptive platform randomized clinical trial, 721 critically ill and 58 non–critically ill hospitalized adults were randomized to receive an RAS inhibitor or control between March 16, 2021, and February 25, 2022, at 69 sites in 7 countries (final follow-up on June 1, 2022). INTERVENTIONS Patients were randomized to receive open-label initiation of an ACE inhibitor (n = 257), ARB (n = 248), ARB in combination with DMX-200 (a chemokine receptor-2 inhibitor; n = 10), or no RAS inhibitor (control; n = 264) for up to 10 days. MAIN OUTCOMES AND MEASURES The primary outcome was organ support–free days, a composite of hospital survival and days alive without cardiovascular or respiratory organ support through 21 days. The primary analysis was a bayesian cumulative logistic model. Odds ratios (ORs) greater than 1 represent improved outcomes. RESULTS On February 25, 2022, enrollment was discontinued due to safety concerns. Among 679 critically ill patients with available primary outcome data, the median age was 56 years and 239 participants (35.2%) were women. Median (IQR) organ support–free days among critically ill patients was 10 (–1 to 16) in the ACE inhibitor group (n = 231), 8 (–1 to 17) in the ARB group (n = 217), and 12 (0 to 17) in the control group (n = 231) (median adjusted odds ratios of 0.77 [95% bayesian credible interval, 0.58-1.06] for improvement for ACE inhibitor and 0.76 [95% credible interval, 0.56-1.05] for ARB compared with control). The posterior probabilities that ACE inhibitors and ARBs worsened organ support–free days compared with control were 94.9% and 95.4%, respectively. Hospital survival occurred in 166 of 231 critically ill participants (71.9%) in the ACE inhibitor group, 152 of 217 (70.0%) in the ARB group, and 182 of 231 (78.8%) in the control group (posterior probabilities that ACE inhibitor and ARB worsened hospital survival compared with control were 95.3% and 98.1%, respectively). CONCLUSIONS AND RELEVANCE In this trial, among critically ill adults with COVID-19, initiation of an ACE inhibitor or ARB did not improve, and likely worsened, clinical outcomes. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT0273570

Data Protection Efforts in India: Blind Leading the Blind?

This paper, after establishing the need for effective data protection in India, goes on to describe the rudimentary measures taken in the country till date in the sphere of data protection. While highlighting the inadequacy of such measures and the ambiguity in proposed amendments, the author seeks inspiration from European Union law in proposing a broad framework for data protection law in India