Prescription Patterns in Management of Heart Failure and Its Association With Readmissions: A Retrospective Analysis.

Background: The American Heart Association/American College of Cardiology/Heart Failure Society of America recently added sodium-glucose cotransporter-2 inhibitors in addition to renin-angiotensin-aldosterone system inhibitors, beta-blockers, and mineralocorticoid receptor antagonists to form the 4 pillars of guideline-directed medical therapy (GDMT) for the management of heart failure with reduced ejection fraction (HFrEF). Despite strong evidence suggesting improved outcomes with inpatient initiation of GDMT at target doses, significant lag has been noted in prescription practices. We sought to study GDMT prescription rates in patients with HFrEF at the time of hospital discharge and evaluate its association with various patient characteristics and all-cause readmission rates.

Epidemiology of heart failure in rural Chhattisgarh, India.

Background Cardiovascular diseases, including heart failure (HF), are leading causes of death and disability in India. However, most studies in India only include urban populations or rural regions with improved access and may not represent the poorest patients or regions. We studied the epidemiology of HF patients admitted to a secondary care hospital in rural Chhattisgarh, India.

Association of Convalescent Plasma Treatment With Clinical Status in Patients Hospitalized With COVID-19: A Meta-analysis.

Importance: COVID-19 convalescent plasma (CCP) is a potentially beneficial treatment for COVID-19 that requires rigorous testing.

Objective: To compile individual patient data from randomized clinical trials of CCP and to monitor the data until completion or until accumulated evidence enables reliable conclusions regarding the clinical outcomes associated with CCP.

Data Sources: From May to August 2020, a systematic search was performed for trials of CCP in the literature, clinical trial registry sites, and medRxiv.

Development and Validation of a Treatment Benefit Index to Identify Hospitalized Patients With COVID-19 Who May Benefit From Convalescent Plasma.

Importance: Identifying which patients with COVID-19 are likely to benefit from COVID-19 convalescent plasma (CCP) treatment may have a large public health impact.

Objective: To develop an index for predicting the expected relative treatment benefit from CCP compared with treatment without CCP for patients hospitalized for COVID-19 using patients' baseline characteristics.

Design, Setting, And Participants: This prognostic study used data from the COMPILE study, ie, a meta-analysis of pooled individual patient data from 8 randomized clinical trials (RCTs) evaluating CCP vs control in adults hospitalized for COVID-19 who were not receiving mechanical ventilation at randomization.

Factors associated with mortality among moderate and severe patients with COVID-19 in India: a secondary analysis of a randomised controlled trial.

Objective: Large data on the clinical characteristics and outcome of COVID-19 in the Indian population are scarce. We analysed the factors associated with mortality in a cohort of moderately and severely ill patients with COVID-19 enrolled in a randomised trial on convalescent plasma.

Design: Secondary analysis of data from a Phase II, Open Label, Randomized Controlled Trial to Assess the Safety and Efficacy of Convalescent Plasma to Limit COVID-19 Associated Complications in Moderate Disease.

Convalescent plasma, political narrative, and public health ethics in the Covid-19 pandemic.

Convalescent plasma therapy emerged as an early experimental therapy for the treatment of Covid-19. However, despite limited data regarding its safety and efficacy, the therapy was extensively publicised by multiple politicians as a cure. We analyse the impact of this political narrative around medical therapeutics on the pandemic using the coherentist model of public health ethics.

Use of convalescent plasma for COVID-19 in India: A review & practical guidelines.

Convalescent plasma (CP) therapy is one of the promising therapies being tried for COVID-19 patients. This passive immunity mode involves separating preformed antibodies against SARS-CoV-2 from a recently recovered COVID-19 patient and infusing it into a patient with active disease or an exposed individual for prophylaxis. Its advantages include ease of production, rapid deployment, specificity against the target infectious agent, and scalability.

SARS-CoV-2 re-infection: development of an epidemiological definition from India.

The current investigation was conducted with the objective to develop an epidemiological case definition of possible severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) re-infection and assess its magnitude in India. The epidemiological case definition for SARS-CoV-2 re-infection was developed from literature review of data on viral kinetics. For achieving second objective, the individuals who satisfied the developed case definition for SARS-CoV-2 re-infection were contacted telephonically.

Measuring Knowledge of Community Health Workers at the Last Mile in Liberia: Feasibility and Results of Clinical Vignette Assessments.

Introduction: Community health workers (CHWs) can provide lifesaving treatment for children in remote areas, but high-quality care is essential for effective delivery. Measuring the quality of community-based care in remote areas is logistically challenging. Clinical vignettes have been validated in facility settings as a proxy for competency.

Convalescent plasma in the management of moderate covid-19 in adults in India: open label phase II multicentre randomised controlled trial (PLACID Trial).

Objective: To investigate the effectiveness of using convalescent plasma to treat moderate coronavirus disease 2019 (covid-19) in adults in India.

Design: Open label, parallel arm, phase II, multicentre, randomised controlled trial.

Setting: 39 public and private hospitals across India.

Mental health among patients in a COVID-19-dedicated facility.

In 2019, global diabetes prevalence was 463 million. Diabetes increases the risk of TB and adverse treatment outcomes including death and relapse. Diabetes also increases the risk of severe disease, multi-organ failure, coagulopathy and death in COVID-19.

Prudent public health intervention strategies to control the coronavirus disease 2019 transmission in India: A mathematical model-based approach.

Background & Objectives: Coronavirus disease 2019 (COVID-19) has raised urgent questions about containment and mitigation, particularly in countries where the virus has not yet established human-to-human transmission. The objectives of this study were to find out if it was possible to prevent, or delay, the local outbreaks of COVID-19 through restrictions on travel from abroad and if the virus has already established in-country transmission, to what extent would its impact be mitigated through quarantine of symptomatic patients?

Methods: These questions were addressed in the context of India, using simple mathematical models of infectious disease transmission. While there remained important uncertainties in the natural history of COVID-19, using hypothetical epidemic curves, some key findings were illustrated that appeared insensitive to model assumptions, as well as highlighting critical data gaps.

Guidance for building a dedicated health facility to contain the spread of the 2019 novel coronavirus outbreak.

Preparedness for the ongoing coronavirus disease 2019 (COVID-19) and its spread in India calls for setting up of adequately equipped and dedicated health facilities to manage sick patients while protecting healthcare workers and the environment. In the wake of other emerging dangerous pathogens in recent times, such as Ebola, Nipah and Zika, it is important that such facilities are kept ready during the inter-epidemic period for training of health professionals and for managing cases of multi-drug resistant and difficult-to-treat pathogens. While endemic potential of such critically ill patients is not yet known, the health system should have surge capacity for such critical care units and preferably each tertiary government hospital should have at least one such facility.

The 2019 novel coronavirus disease (COVID-19) pandemic: A review of the current evidence.

A novel coronavirus (nCoV) spillover event, with its epicenter in Wuhan, People's Republic of China, has emerged as a public health emergency of international concern. This began as an outbreak in December 2019, and till February 28, 2020, there have been 83,704 confirmed cases of novel coronavirus disease 2019 (COVID-19) globally, with 2,859 deaths, resulting in an overall case fatality rate of 3.41 per cent (95% confidence interval 3.

A 54-year-old Woman with Myelofibrosis and Massive Hemothorax Due to Primary Extramedullary Hematopoiesis of the Pleura.

Extramedullary hematopoiesis, which represents ectopic blood cell production, is usually an incidental finding accompanying hematologic pathology. The liver and spleen are the most common sites of extramedullary hematopoiesis, but thoracic involvement is likewise observed. Pleural effusions in the setting of intrathoracic extramedullary hematopoiesis have been attributed to mechanical interactions between the pleural surface and neighboring paravertebral masses consisting of hematopoietic tissue.

Babesiosis-associated immune thrombocytopenia.

Thrombocytopenia is a common feature of babesiosis. The mechanism for thrombocytopenia in babesiosis remains elusive. We report a case of babesiosis with severe new onset immune thrombocytopenia (ITP).

Reliability of Telemedicine in the Assessment of Seriously Ill Children.

Background And Objective: Data are limited that establish the clinical reliability of telemedicine in evaluating children who are seriously ill. Evaluation of a seriously ill child poses a challenge in that telemedicine is primarily visual, without the ability to perform a "hands-on" physical examination. Previous studies evaluating observation in assessing febrile children and children in respiratory distress have validated observation as both predictive and reliable in detecting underlying illness.

Is a haptic simulation interface more effective than computer mouse-based interface for neonatal intubation skills training?

Objective: To compare the efficacy of a three-dimensional (3D) haptic interface to a two-dimensional (2D) mouse interface for a screen-based simulation (SBS) neonatal intubation (NI) training intervention. Primary hypothesis: a haptic interface is more effective than a mouse interface for SBS training intervention for NI. Secondary hypothesis: SBS training, regardless of interface, will result in improved NI performance on a neonatal airway simulator.

A fully programmable computing architecture for medical ultrasound machines.

Application-specific ICs have been traditionally used to support the high computational and data rate requirements in medical ultrasound systems, particularly in receive beamforming. Utilizing the previously developed efficient front-end algorithms, in this paper, we present a simple programmable computing architecture, consisting of a field-programmable gate array (FPGA) and a digital signal processor (DSP), to support core ultrasound signal processing. It was found that 97.

Image quality evaluation with a new phase rotation beamformer.

Over the last few decades, dynamic focusing based on digital receive beamforming (DRBF) has led to significant improvements in image quality. However, it is computationally very demanding due to its requirement for multiple lowpass filters (e.g.

Adaptive field-of-view imaging for efficient receive beamforming in medical ultrasound imaging systems.

Quadrature demodulation-based phase rotation beamforming (QD-PRBF) is commonly used to support dynamic receive focusing in medical ultrasound systems. However, it is computationally demanding since it requires two demodulation filters for each receive channel. To reduce the computational requirements of QD-PRBF, we have previously developed two-stage demodulation (TSD), which reduces the number of lowpass filters by performing demodulation filtering on summation signals.