Optimization and analytical validation of the Allplex HPV28 genotyping assay for use in first-void urine samples.

Despite first-void urine (FVU) being increasingly recognized as a credible specimen for human papillomavirus (HPV) detection, there is a lack of well-validated testing methods providing full quantitative genotyping required for vaccine impact monitoring from FVU samples. The Allplex HPV28 assay, capable of individually detecting 28 HPV genotypes, presents a promising method. We aimed to evaluate its genotype-specific performance on FVU samples, following optimization of FVU preanalytics.

PM and hospitalizations through the emergency department in people with disabilities: a nationwide case-crossover study in South Korea.

Background: Little is known about the impact of PM on people with disabilities. We aimed to explore the association between PM and hospitalization via the emergency department (ED admission) among people with disabilities, together with the attributable ED admission cases and costs.

Methods: We applied a time-stratified case-crossover design adjusting ozone, holiday, and temperature using seven years (2015-2021) of claim-based data on ED admissions from the Korean National Health Insurance Database.

Early Continuous Electroencephalography, Clinical Parameters, and Short-Term Functional Outcomes in Pediatric Traumatic Brain Injury: Single-Center, Retrospective Cohort, 2010-2020.

Objectives: Traumatic brain injury (TBI) is a leading cause of pediatric morbidity and mortality. This study first investigates clinical characteristics and continuous electroencephalography (cEEG) parameters associated with short-term functional outcomes in pediatric patients following TBI. Second, we use these data for a hypothesis-generating model about outcomes.

Correction: Using machine learning to understand age and gender classification based on infant temperament.

[This corrects the article DOI: 10.1371/journal.pone.

Aged and Obscured Wildfire Smoke Associated with Downwind Health Risks.

Fine-mode particulate matter (PM) is a highly detrimental air pollutant, regulated without regard for chemical composition and a chief component of wildfire smoke. As wildfire activity increases with climate change, its growing continental influence necessitates multidisciplinary research to examine smoke's evolving chemical composition far downwind and connect chemical composition-based source apportionment to potential health effects. Leveraging advanced real-time speciated PM measurements, including an aerosol chemical speciation monitor in conjunction with source apportionment and health risk assessments, we quantified the stark pollution enhancements during peak Canadian wildfire smoke transport to New York City over June 6-9, 2023.