PubMed COVID-19 Clinical Care

CONCLUSIONS: The CRACoV-AKI model enables AKI risk stratification among hospitalized patients with COVID-19. Machine learning-based tools may thus offer additional decision-making support for specialist providers.

INTRODUCTION: The aim of this integrative review is to understand (1) how parents in specific populations engage with online breastfeeding, chestfeeding, or lactation support groups, (2) how these support groups influence extended breastfeeding

CONCLUSION: The percentage of B19V- and HAV-positive donations was significantly reduced from the pre-pandemic period to the pandemic-impact period.

To slow the spread of COVID-19 many mental health providers transitioned to telehealth delivery of trauma-focused treatment for maltreated children. However, these providers faced myriad challenges, including equitable access to equipment and

CONCLUSION: The pandemic and its restrictions exacerbated the problematics affecting informal caregivers. Although these people are aware of their situation and have valued knowledge of how to improve their health, they cannot always put it into

CONCLUSION: The deaths in the study were urban-centric. Higher Covid-19 mortality was observed in unvaccinated older men (≥65 years) with one or more comorbidity.

BACKGROUND: There are limited global data on head-to-head comparisons of vaccine platforms assessing both humoral and cellular immune responses, stratified by pre-vaccination serostatus. The COVID-19 vaccination drive for the Indian population in the

The COVID-19 pandemic highlighted the importance of infection prevention and control measures for all medical procedures, including ultrasound examinations. As the use of ultrasound increases across more medical modalities, including point-of-care

INTRODUCTION: During the COVID-19 pandemic, public transport (e.g., bus and taxi) drivers encountered great stress because they needed to work to maintain the operation of the transportation system. This study proposes and empirically investigates

CONCLUSIONS: Our study suggests that older age, elevated pulse rate, serum creatinine, use of antibiotics and corticosteroids, and the need for mechanical ventilation predict mortality among hypertensive COVID-19.