Study of behavioral and psychosocial factors relating to needle stick injuries in nursing staff of a tertiary care cancer hospital of Punjab, India.

Background And Objectives: Needle stick injury (NSI) is the most dreaded occupational health hazard affecting a healthcare worker (HCW) psychologically and physically. The risk of infection post needle stick injury ranges between 1.9% to greater than 40% for HBV infections, 2.

Association between calcium supplementation and gestational hypertension, and preeclampsia: A Meta-analysis of 26 randomized controlled trials.

Background: Pre-eclampsia and eclampsia are common causes of morbidity and mortality, especially in low-income countries. Reducing adverse outcomes associated with hypertensive disorders of pregnancy has been the ultimate priority in recent years. We aim to evaluate the association between calcium supplementation and preeclampsia and gestational hypertension risk among pregnant women.

Meta-Analysis of Racial Disparity in Clinical Outcome Among Congenital Heart Disease Patients Postsurgery.

Congenital heart disease (CHD), the most prevalent congenital disorder in newborns, is a leading cause of infant mortality. Mortality rates have declined over time with advancements in knowledge and management approaches. Despite these advancements, studies on racial disparities in CHD surgical mortality have yielded inconclusive results.

Machine learning models trained on synthetic datasets of multiple sample sizes for the use of predicting blood pressure from clinical data in a national dataset.

Introduction: The potential for synthetic data to act as a replacement for real data in research has attracted attention in recent months due to the prospect of increasing access to data and overcoming data privacy concerns when sharing data. The field of generative artificial intelligence and synthetic data is still early in its development, with a research gap evidencing that synthetic data can adequately be used to train algorithms that can be used on real data. This study compares the performance of a series machine learning models trained on real data and synthetic data, based on the National Diet and Nutrition Survey (NDNS).

Levelling up health: A practical, evidence-based framework for reducing health inequalities.

There are substantial inequalities in health across society which have been exacerbated by the COVID-19 pandemic. The UK government have committed to a programme of levelling-up to address geographical inequalities. Here we undertake rapid review of the evidence base on interventions to reduce such health inequalities and developed a practical, evidence-based framework to 'level up' health across the country.

Generative adversarial networks and synthetic patient data: current challenges and future perspectives.

Artificial intelligence (AI) has been heralded as one of the key technological innovations of the 21st century. Within healthcare, much attention has been placed upon the ability of deductive AI systems to analyse large datasets to find patterns that would be unfeasible to program. Generative AI, including generative adversarial networks, are a newer type of machine learning that functions to create fake data after learning the properties of real data.

Clinical characteristic and epidemiological features of SARS CoV-2 disease patients from a COVID-19 designated hospital in New Delhi.

Severe acute respiratory syndrome coronavirus 2 (SARS CoV-2) infection is rapidly evolving as a serious global pandemic. The present study describes the clinical characteristics of SARS CoV-2 infection patients. The samples were subjected to reverse-transcription polymerase chain reaction or Rapid Antigen test for diagnosis of SARS CoV-2.

Diagnostic Accuracy of Point of Care Tests for Diagnosing Celiac Disease: A Systematic Review and Meta-Analysis.

Goals: To perform a systematic review and meta-analysis to estimate the overall diagnostic accuracy of point of care tests (POCTs) for diagnosing celiac disease (CD).

Background: Recently, POCTs for CD have been developed and are commercially available. Studies have reported significant variability in their sensitivity (70% to 100%) and specificity (85% to 100%).

Global Prevalence of Celiac Disease: Systematic Review and Meta-analysis.

Background & Aims: Celiac disease is a major public health problem worldwide. Although initially it was reported from countries with predominant Caucasian populations, it now has been reported from other parts of the world. The exact global prevalence of celiac disease is not known.

Predictors of death in infants with probable serious bacterial infection.

BackgroundBacterial infections account for a significant proportion of neonatal and infant mortality globally. We aimed to identify predictors of death in infants with probable serious bacterial infection (PSBI) defined as signs/symptoms of possible serious bacterial infection along with baseline C-reactive protein (CRP) ≥12 mg/l.MethodsWe did a secondary analysis using the data collected from 700 infants with PSBI who participated in a randomized controlled trial in India in which zinc or placebo was given in addition to the standard antibiotics.