Adverse Drug Reactions in the Intensive Care Unit

A Clinician's Guide to Understanding Bias in Critical Clinical Prediction Models

This narrative review focuses on the role of clinical prediction models in supporting informed decision-making in critical care, emphasizing their 2 forms: traditional scores and artificial intelligence (AI)-based models. Acknowledging the potential for both types to embed biases, the authors underscore the importance of critical appraisal to increase our trust in models. The authors outline recommendations and critical care examples to manage risk of bias in AI models. The authors advocate for enhanced interdisciplinary training for clinicians, who are encouraged to explore various resources (books, journals, news Web sites, and social media) and events (Datathons) to deepen their understanding of risk of bias.

Nursing Professionals' Awareness of Adverse Drug Reactions and Pharmacovigilance in an Institute of National Importance in India: A Cross-Sectional Study

Background Globally, there is a growing concern about adverse drug reactions (ADRs) as they can lead to increased hospital admissions and healthcare expenses, lower patient satisfaction with treatment outcomes, and even fatalities. Pharmacovigilance is crucial for minimizing the risks associated with drug therapy, but underreporting of ADRs is a prevalent issue. Nursing professionals are an important stakeholder in ADR reporting, as they are often the first point of contact for patients to identify and report adverse drug reactions. Objectives The objectives of the study were to evaluate the knowledge and practices of nursing professionals regarding ADR reporting in a tertiary care teaching institute and the factors influencing their knowledge of ADR reporting. Methodology This was a cross-sectional study involving 275 nursing officers at AIIMS Raebareli, who gave their informed consent and completed a questionnaire on demographics, knowledge, and practice domains. Multiple linear regression analysis was used to compare independent variables' influences on knowledge scores. SPSS version 26 (IBM Corp., Armonk, NY, USA) was used for statistical analysis. Results The study revealed that the mean knowledge score was 6.378 (total score of 13), with a standard deviation of 2.299 (95% CI 6.10-6.65). About 50.18% of the participants had a knowledge score below 6.5. Multiple regression analysis revealed that working experience, female gender, working in an emergency department, and previous training on ADR reporting significantly influenced the knowledge scores. Conclusion The study found that nursing professionals had limited awareness about ADR reporting, even though they worked at an Institute of National Importance. Based on the findings, it can be concluded that there is a need for improved education and training on ADR reporting and to address barriers to reporting, such as a lack of awareness about reporting procedures, and alleviate the fear of legal consequences.

Natural Products as a Potential Source of Promising Therapeutics for COVID-19 and Viral Diseases

Background

A global pandemic has recently been observed due to the new coronavirus disease, caused by SARS-CoV-2. Since there are currently no antiviral medicines to combat the highly contagious and lethal COVID-19 infection, identifying natural sources that can either be viricidal or boost the immune system and aid in the fight against the disease can be an essential therapeutic support.

Methods

This review was conducted based on published papers related to the herbal therapy of COVID-19 by search on databases including PubMed and Scopus with herbal, COVID-19, SARS-CoV-2, and therapy keywords.

Results

To combat this condition, people may benefit from the therapeutic properties of medicinal plants, such as increasing their immune system or providing an antiviral impact. As a result, SARS-CoV-2 infection death rates can be reduced. Various traditional medicinal plants and their bioactive components, such as COVID-19, are summarized in this article to assist in gathering and debating techniques for combating microbial diseases in general and boosting our immune system in particular.

Conclusion

The immune system benefits from natural products and many of these play a role in activating antibody creation, maturation of immune cells, and stimulation of innate and adaptive immune responses. The lack of particular antivirals for SARS-CoV-2 means that apitherapy might be a viable option for reducing the hazards associated with COVID-19 in the absence of specific antivirals.