Does using the Lung Clearance Index (LCI) inform clinical decisions in children with cystic fibrosis?

Introduction: The Lung Clearance Index (LCI) is an established research test, but its role in clinical decision-making is not well defined. This study estimated the proportion of treatment decisions that are changed or supported by the added information provided by LCI.

Methods: A mixed methods prospective observational study was conducted in North America.

Synaptic vesicle characterization of iPSC-derived dopaminergic neurons provides insight into distinct secretory vesicle pools.

The dysfunction of dopaminergic (DA) neurons is central to Parkinson's disease. Distinct synaptic vesicle (SV) populations, differing in neurotransmitter content (dopamine vs. glutamate), may vary due to differences in trafficking and exocytosis.

Modifies Chronic Airway Infection Risk in Cystic Fibrosis.

Rationale: Chronic () airway infection is common and a key contributor to diminished lung function and early mortality in persons with cystic fibrosis (PwCF). Risk factors for chronic among PwCF include cystic fibrosis transmembrane conductance regulator genotype, genetic modifiers, and environmental factors. Intensive antibiotic therapy and highly effective modulators do not eradicate in most adolescents and adults with cystic fibrosis.

Integrated hepatic transcriptomics and metabolomics identify Pck1 as a key factor in the broad dysregulation induced by vehicle pollutants.

Background: Exposure to air pollution is associated with worldwide morbidity and mortality. Diesel exhaust (DE) emissions are important contributors which induce vascular inflammation and metabolic disturbances by unknown mechanisms. We aimed to determine molecular pathways activated by DE in the liver that could be responsible for its cardiometabolic toxicity.

Enhancing Occupational Therapy Interventions by Integrating the Multiphase Optimization Strategy Framework.

As occupational therapy research advances and the body of evidence supporting effective interventions continues to grow, there is a need to expedite the transfer of research findings into practice, and the use of intervention development frameworks becomes increasingly essential. In this column, we introduce the Multiphase Optimization Strategy (MOST), an engineering-inspired framework for the development, optimization, and evaluation of multicomponent interventions. MOST allows for the systematic development and evaluation of optimized interventions that prioritize effectiveness within constraints like affordability, scalability, and efficiency.