Sertraline with desvenlafaxine and sertraline with mirtazapine as treatment initiation in MDD patients with moderate to severe depression and effect on inflammatory markers.

BACKGROUND: This study evaluated the effect of sertraline with desvenlafaxine and sertraline with mirtazapine on HAM-D score and inflammatory markers (IL-6 and TNF-α levels) in major depressive disorder. METHODS: Patients (18-60 years) with MDD diagnosed by DSM-V criteria and HAM-D score 18 or more were included (n = 60). Group A patients (n = 30) received sertraline 50 mg/day and desvenlafaxine 50 mg/day. Group B patients (n = 30) received sertraline 50 mg/day and mirtazapine 30 mg/day. All patients were followed up for 8 weeks for the evaluation of clinical efficacy, safety, serum IL-6, and TNF-α levels. RESULTS: Our study showed a comparatively similar and statistically significant (p < 0.05) reduction in HAM-D score in both groups in the 4th and 8th week of the treatment. Both drug combinations significantly (p < 0.05) decreased serum IL-6 and TNF-α after 8 weeks of treatment. CONCLUSION: The present study suggests that the combination therapy (as treatment initiation) with sertraline and desvenlafaxine, and sertraline with mirtazapine is effective and well tolerated in MDD patients with moderate to severe depression, and their therapeutic efficacy is accompanied by decreased inflammatory markers (serum IL-6 and TNF-α).

Recent evidence indicates that combination therapy of antidepressant drugs started as treatment initiation produces superior treatment outcomes in patients of MDD with moderate to severe depression.MDD is associated with increased inflammatory markers.Combination therapy of sertraline with desvenlafaxine and sertraline with mirtazapine as treatment initiation is effective and well tolerated in MDD patients.The therapeutic efficacy of sertraline with desvenlafaxine and sertraline with mirtazapine is associated with a significant decrease in serum levels of IL-6 and TNF-α.

Culturally adapted psychosocial interventions (CaPSI) for early psychosis in a low-resource setting: study protocol for a large multi-center RCT.

BACKGROUND: Psychosis treatment guidelines recommend cognitive behaviour therapy (CBT) and family intervention (FI), for all patients with first episode psychosis (FEP), though guidance borrows heavily from literature in adults from high income countries. To our knowledge, there are few randomized controlled trials (RCTs) examining the comparative effect of these commonly endorsed psychosocial interventions in individuals with early psychosis from high-income countries and no such trials from low and middle-income countries (LMICs). The present study aims to confirm the clinical-efficacy and cost-effectiveness of delivering culturally adapted CBT (CaCBT) and culturally adapted FI (CulFI) to individuals with FEP in Pakistan. METHOD: A multi-centre, three-arm RCT of CaCBT, CulFI, and treatment as usual (TAU) for individuals with FEP (n = 390), recruited from major centres across Pakistan. Reducing overall symptoms of FEP will be the primary outcome. Additional aims will include improving patient and carer outcomes and estimating the economic impact of delivering culturally appropriate psychosocial interventions in low-resource settings. This trial will assess the clinical-efficacy and cost-effectiveness of CaCBT and CulFI compared with TAU in improving patient (positive and negative symptoms of psychosis, general psychopathology, depressive symptoms, quality of life, cognition, general functioning, and insight) and carer related outcomes (carer experience, wellbeing, illness attitudes and symptoms of depression and anxiety). CONCLUSIONS: A successful trial may inform the rapid scale up of these interventions not only in Pakistan but other low-resource settings, to improve clinical outcomes, social and occupational functioning, and quality of life in South Asian and other minority groups with FEP. TRIAL REGISTRATION: NCT05814913.

Correlation of mortality with Pro-BNP and precipitating factors of acute heart failure in patients presenting to a medical emergency of tertiary care hospital: an observational study from north India.

OBJECTIVE: Acute heart failure is a syndrome defined as the new onset de novo heart failure or worsening [acutely decompensated heart failure (ADHF)] leading to symptoms and signs of HF, mostly related to systemic congestion as based on the European Society of Cardiology (ESC) definition. India has a huge burden of heart failure patients. Several factors have been identified as precipitating acute HF hospitalizations. These include myocardial ischemia, no adherence to medications, arrhythmias, infection, uncontrolled hypertension (HTN), anemia, renal impairment, and diet. However, there is a dearth of studies assessing their effect on mortality in patients admitted with acute heart failure. Many previous studies have shown that BNP and NT-pro-BNP are independent predictors of mortality and other cardiac outcomes in patients with heart failure (HF) and ADHF. However, no studies have provided any clear direction with respect to the critical cut-off values that suggest high mortality. Comprehensive knowledge of the correlation of Pro-BNP and precipitating factors of heart failure with mortality can help in prognostication and clinical management of AHF patients. PATIENTS AND METHODS: This was a prospective observational cross-sectional study conducted in the Emergency Department of the Postgraduate Institute of Medical Education and Research, Chandigarh which is a teaching and research hospital located in North India. Patients were enrolled from 1st August 2021 to 28th February 2022. Patients who met inclusion criteria were enrolled; they were followed for 5 days. After 5 days outcomes were recorded. Various precipitating factors for hospitalization were identified and their clinical impact on mortality was noted. Pro-BNP values were obtained at admission and their correlation with mortality and patient outcome after 5 days was noted. Values of Pro-BNP were compared among those who survived after 5 days vs. those who had fatal outcomes. RESULTS: The most common precipitating factor for AHF was poor medical compliance which did not affect mortality. It was followed by sepsis which significantly increases mortality in patients of AHF. ACS was also an important precipitating factor for AHF, though it had no effect on mortality. The mortality in the group of patients with very high Pro-BNP levels ≥ 2000 pg/ml was significantly higher than in the group of patients who had moderately elevated Pro-BNP < 2000 pg/ml. The median value of Pro-BNP was significantly higher in patients who had fatal outcomes [3670 (IQR- 2745 to 3980)] as compared to patients who survived after 5 days of hospitalization [1340 (IQR- 987 to 1670)]. CONCLUSIONS: Poor compliance with medications and sepsis are the most common precipitating factors for acute heart failure in north Indian patients. Sepsis as a precipitating factor is a significant risk factor for in-hospital mortality in acute heart failure patients presenting to the emergency department. Pro-BNP values above 2000 pg/ml in patients with acute heart failure requiring emergency admission are associated with a poor prognosis.

Socio-demographic features and quality of life post burn injury.

Introduction: Burn injury is a highly devastating injury accounting for the major cause of disability-adjusted life years (DALYs) lost mostly in developing countries. Physical trauma, body disfigurement, the social stigma associated with injury completely shatter an individual's life. Aim: To study the quality of life among burn injury patients. Methodology: A cross-sectional hospital-based descriptive study was done on 150 burn injury patients. During the initial recruitment from Burns and Plastic Surgery Ward, socio-demographic profile and burn incident-related data were collected, whereas the WHO QoL-BREF tool was applied after 3 months of discharge during a follow-up visit in the outpatient department of Burns and Plastic Surgery to assess the quality of life among subjects. Data were compiled in MS Excel and statistical analysis was done using SPSS 20 version. Results: The study revealed poor quality of life among four domains of QoL; it was most inferior in the psychological domain followed by the physical health domain, environment domain, and social relationship domain. Conclusion: Advancement in the medical field has improved the survival rate in victims although the patients recover from the acute painful phase of physical trauma. However, the psychological and social impacts of injury remain unaddressed leading to a poor QoL. There is a need for an integrated approach for prevention and enhancement of the quality of care for the victims in all four domains of life. More emphasis is needed on rehabilitative care for long-term improvement in the QoL of the affected person.

Rumour detection using deep learning and filter-wrapper feature selection in benchmark twitter dataset.

Microblogs have become a customary news media source in recent times. But as synthetic text or 'readfakes' scale up the online disinformation operation, unsubstantiated pieces of information on social media platforms can cause significant havoc by misleading people. It is essential to develop models that can detect rumours and curtail its cascading effect and virality. Undeniably, quick rumour detection during the initial propagation phase is desirable for subsequent veracity and stance assessment. Linguistic features are easily available and act as important attributes during the initial propagation phase. At the same time, the choice of features is crucial for both interpretability and performance of the classifier. Motivated by the need to build a model for automatic rumour detection, this research proffers a hybrid model for rumour classification using deep learning (Convolution neural network) and a filter-wrapper (Information gain-Ant colony) optimized Naive Bayes classifier, trained and tested on the PHEME rumour dataset. The textual features are learnt using the CNN which are combined with the optimized feature vector generated using the filter-wrapper technique, IG-ACO. The resultant optimized vector is then used to train the Naïve Bayes classifier for rumour classification at the output layer of CNN. The proposed classifier shows improved performance to the existing works.

Pro-poor policies and improvements in maternal health outcomes in India.

BACKGROUND: Since 2005, India has experienced an impressive 77% reduction in maternal mortality compared to the global average of 43%. What explains this impressive performance in terms of reduction in maternal mortality and improvement in maternal health outcomes? This paper evaluates the effect of household wealth status on maternal mortality in India, and also separates out the performance of the Empowered Action Group (EAG) states and the Southern states of India. The results are discussed in the light of various pro-poor programmes and policies designed to reduce maternal mortality and the existing supply side gaps in the healthcare system of India. Using multiple sources of data, this study aims to understand the trends in maternal mortality (1997-2017) between EAG and non EAG states in India and explore various household, economic and policy factors that may explain reduction in maternal mortality and improvement in maternal health outcomes in India. METHODS: This study triangulates data from different rounds of Sample Registration Systems to assess the trend in maternal mortality in India. It further analysed the National Family Health Surveys (NFHS). NFHS-4, 2015-16 has gathered information on maternal mortality and pregnancy-related deaths from 601,509 households. Using logistic regression, we estimate the association of various socio-economic variables on maternal deaths in the various states of India. RESULTS: On an average, wealth status of the households did not have a statistically significant association with maternal mortality in India. However, our disaggregate analysis reveals, the gains in terms of maternal mortality have been unevenly distributed. Although the rich-poor gap in maternal mortality has reduced in EAG states such as Bihar, Odisha, Assam, Rajasthan, the maternal mortality has remained above the national average for many of these states. The EAG states also experience supply side shortfalls in terms of availability of PHC and PHC doctors; and availability of specialist doctors. CONCLUSIONS: The novel contribution of the present paper is that the association of household wealth status and place of residence with maternal mortality is statistically not significant implying financial barriers to access maternal health services have been minimised. This result, and India's impressive performance with respect to maternal health outcomes, can be attributed to the various pro-poor policies and cash incentive schemes successfully launched in recent years. Community-level involvement with pivotal role played by community health workers has been one of the major reasons for the success of many ongoing policies. Policy makers need to prioritise the underperforming states and socio-economic groups within the states by addressing both demand-side and supply-side measures simultaneously mediated by contextual factors.

Role of Emotion in Excessive Use of Twitter During COVID-19 Imposed Lockdown in India.

The COVID-19 pandemic and the lockdowns to contain it are affecting the daily life of people around the world. People are now using digital technologies, including social media, more than ever before. The objectives of this study were to analyze the social media usage pattern of people during the COVID-19 imposed lockdown and to understand the effects of emotion on the same. We scraped messages posted on Twitter by users from India expressing their emotion or view on the pandemic during the first 40 days of the lockdown. We identified the users who posted frequently and analyzed their usage pattern and their overall emotion during the study period based on their tweets. It was observed that 222 users tweeted frequently during the study period. Out of them, 13.5% were found to be addicted to Twitter and posted 13.67 tweets daily on an average (SD: 4.89), while 3.2% were found to be highly addicted and posted 40.71 tweets daily on an average (SD: 9.90) during the study period. The overall emotion of 40.1% of the users was happiness throughout the study period. However, it was also observed that users who tweeted more frequently were typically angry, disgusted, or sad about the prevailing situation. We concluded that people with a negative sentiment are more susceptible to addictive use of social media.

Potential of NO donor furoxan as SARS-CoV-2 main protease (Mpro) inhibitors: in silico analysis.

The sharp spurt in positive cases of novel coronavirus-19 (SARS-CoV-2) worldwide has created a big threat to human. In view to expedite new drug leads for COVID-19, Main Proteases (Mpro) of novel Coronavirus (SARS-CoV-2) has emerged as a crucial target for this virus. Nitric oxide (NO) inhibits the replication cycle of SARS-CoV. Inhalation of nitric oxide is used in the treatment of severe acute respiratory syndrome. Herein, we evaluated the phenyl furoxan, a well-known exogenous NO donor to identify the possible potent inhibitors through in silico studies such as molecular docking as per target analysis for candidates bound to substrate binding pocket of SARS-COV-2 Mpro. Molecular dynamics (MD) simulations of most stable docked complexes (Mpro-22 and Mpro-26) helped to confirm the notable conformational stability of these docked complexes under dynamic state. Furthermore, Molecular mechanics Poisson-Boltzmann surface area (MM-PBSA) calculations revealed energetic contributions of key residues of Mpro in binding with potent furoxan derivatives 22, 26. In the present study to validate the molecular docking, MD simulation and MM-PBSA results, crystal structure of Mpro bound to experimentally known inhibitor X77 was used as control and the obtained results are presented herein. We envisaged that spiro-isoquinolino-piperidine-furoxan moieties can be used as effective ligand for SARS-CoV-2 Mpro inhibition due to the presence of key isoquinolino-piperidine skeleton with additional NO effect.Communicated by Ramaswamy H. Sarma.

Bupropion monotherapy alters neurotrophic and inflammatory markers in patients of major depressive disorder.

BACKGROUND: Emerging hypotheses in the pathophysiology of major depressive disorder (MDD) indicate the role of neurotrophic factors and inflammation. This study assessed the association between therapeutic response of bupropion and serum brain-derived neurotrophic factor (BDNF) and tumour necrosis factor-α (TNF-α) levels in patients with MDD. METHODS: Thirty patients (aged 18 to 60 years) with MDD diagnosed by DSM-5 criteria, with Hamilton Depression Rating scale (HAM-D) score ≥ 20 were included in the study. Patients were given bupropion sustained release (SR) in the doses of 150 mg once daily. All patients were followed up for 12 weeks. RESULTS: HAM-D score at the start of the treatment was 25.57 ± 1.85 which significantly reduced to 10.8 ± 4.24 at 12 weeks of treatment. The serum BDNF level increased significantly (p < 0.05) from 2.42 ± 0.19 ng/ml to 2.97 ± 0.10 ng/ml and the levels of serum TNF-α reduced significantly (p < 0.05) from 4.45 ± 0.95 pg/ml to 2.11 ± 0.84 pg/ml at 12 weeks of treatment, in responders to treatment. CONCLUSION: The results of our study suggest that bupropion SR monotherapy is effective and well tolerated in MDD patients with moderate to severe depression, and its therapeutic efficacy is accompanied by an increase in serum BDNF levels and a decrease in serum TNF-α levels.

An epidemic of avoidable caesarean deliveries in the private sector in India: Is physician-induced demand at play?

PURPOSE AND SETTING OF RESEARCH: Caesarean section (C-section) rates of over 15% suggest overuse of the surgery which may be difficult to justify on medical grounds. One important contributor to the rise in Csection rates is the rapid expansion of unregulated private-sector providers in number of settings. This study analyses the contribution of private sector in the rapid rise in Csection deliveries in India and the extent to which these can be justified on medical grounds. METHODS: This is a cross sectional study design using National Family Health Surveys. Logistic regression and propensity score matching (PSM) analyses are performed. The main outcome measured is avoidable C-sections in the private sector. PRINCIPAL FINDINGS: Our findings suggest that the rising trend in C-section rates in the private sector cannot be explained by medical reasons alone. The odds of C-section among women who chose to deliver in private was over 4 times higher than women who chose to delivery in public facilities. Despite, controlling for medical complications, women's characteristics and preferences, our PSM analysis suggest that the public-private gap has doubled over the years and that the difference cannot be explained by known determinants of C-section. Over supply of avoidable C-section to the extent of 21%, as a result of physician induced demand and perverse financial incentives was observed in the private sector. CONCLUSIONS: This paper attempts to understand the reason for the high C-section rates in the private sector in India and the extent to which these are avoidable. Our analysis supports the assumption that physician induced demand as a result of perverse financial incentives in the private sector is at play.

Mind the gap: Temporal trends in inequalities in infant and child mortality in India (1992-2016).

•Temporal trends in inequalities in infant and child mortality over two and half decades in India.•Relative change in inequalities in child mortality over survey periods.•Scatter plots to identify states with largest inequalities among wealth index groups.•Concentration Index by various background characteristics and decomposition analysis to identify factors contributing in inequality in infant mortality between richest and poorest groups.•Gap between the poorest and richest groups has narrowed in most states in India in recent years.