Nebulized aminoglycosides for ventilator-associated pneumonia: Methodological considerations and lessons from experimental studies.

Aminoglycosides are concentration-dependent antibiotics exerting a bactericidal effect when concentrations at the site of infection are equal to or greater than 5 times the minimum inhibitory concentrations (MIC). When administered intravenously, they exhibit poor lung penetration and high systemic renal and ototoxicity, imposing to restrict their administration to 5 days. Experimental studies conducted in anesthetized and mechanically ventilated sheep and pigs provide evidence that high doses of nebulized aminoglycosides induce a rapid and potent bacterial killing in the infected lung parenchyma.

Gut microbiota and its impact on critical illness.

Purpose Of Review: This narrative review discusses the mechanisms connecting gut dysbiosis to adverse clinical outcomes in critically ill patients and explores potential therapeutic strategies.

Recent Findings: In recent years, the study of microbiota in ICUs has gained attention because of its potential effects on patient outcomes. Critically ill patients often face severe conditions, which can compromise their immune systems and lead to opportunistic infections from bacteria typically harmless to healthy individuals.

Use of the Adaptive Behaviour Dementia Questionnaire in a Down Syndrome Specialty Clinic.

Objective: To study the use of a dementia screening tool in our clinic cohort of adults with Down syndrome.

Study Design: A retrospective chart review of patients with Down syndrome was conducted to follow the use of the Adaptive Behaviour Dementia Questionnaire (ABDQ) in a dementia screening protocol. The ABDQ results for patients aged 40 years and older at a Down syndrome specialty clinic program were assessed.

Role of Artificial Intelligence in Identifying Vital Biomarkers with Greater Precision in Emergency Departments During Emerging Pandemics.

The COVID-19 pandemic has accelerated advances in molecular biology and virology, enabling the identification of key biomarkers to differentiate between severe and mild cases. Furthermore, the use of artificial intelligence (AI) and machine learning (ML) to analyze large datasets has been crucial for rapidly identifying relevant biomarkers for disease prognosis, including COVID-19. This approach enhances diagnostics in emergency settings, allowing for more accurate and efficient patient management.

Fecal Microbiota Strongly Correlates with Tissue Microbiota Composition in Colorectal Cancer but Not in Non-Small Cell Lung Cancer.

Microbiota could be of interest in the diagnosis of colorectal and non-small cell lung cancer (CRC and NSCLC). However, how the microbial components of tissues and feces reflect each other remains unknown. In this work, our main objective is to discover the degree of correlation between the composition of the tissue microbiota and that of the feces of patients affected by CRC and NSCLC.