Background And Objective: Understanding pharmacokinetic disposition of cefepime, a β-lactam antibiotic, is crucial for developing regimens to achieve optimal exposure and improved clinical outcomes. This study sought to develop and evaluate a unified population pharmacokinetic model in both pediatric and adult patients receiving cefepime treatment.
Methods: Multiple physiologically relevant models were fit to pediatric and adult subject data. To evaluate the final model performance, a withheld group of 12 pediatric patients and two separate adult populations were assessed.
Results: Seventy subjects with a total of 604 cefepime concentrations were included in this study. All adults (n = 34) on average weighed 82.7 kg and displayed a mean creatinine clearance of 106.7 mL/min. All pediatric subjects (n = 36) had mean weight and creatinine clearance of 16.0 kg and 195.6 mL/min, respectively. A covariate-adjusted two-compartment model described the observed concentrations well (population model R, 87.0%; Bayesian model R, 96.5%). In the evaluation subsets, the model performed similarly well (population R, 84.0%; Bayesian R, 90.2%).
Conclusion: The identified model serves well for population dosing and as a Bayesian prior for precision dosing.
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http://dx.doi.org/10.1007/s40262-020-00873-3 | DOI Listing |
JAMA Netw Open
January 2025
Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, California.
Importance: Limited research explores mental health disparities between individuals in sexual and gender minority (SGM) populations and cisgender heterosexual (non-SGM) populations using national-level data.
Objective: To explore mental health disparities between SGM and non-SGM populations across sexual orientation, sex assigned at birth, and gender identity within the All of Us Research Program.
Design, Setting, And Participants: This cross-sectional study used survey data and linked electronic health records of eligible All of Us Research Program participants from May 31, 2017, to June 30, 2022.
Glob Public Health
December 2025
Indigenous Wellness Core, Alberta Health Services, Edmonton, Alberta, Canada.
Connecting with traditional knowledge and culture promotes the well-being of Indigenous parents and creates healthy environments for child development. Community Elders in a remote northern community in Alberta, Canada, collaborated with researchers to design a pilot Elders Mentoring Program. The programme aims to support young Indigenous mothers(-to-be), bringing back cultural traditions and teachings.
View Article and Find Full Text PDFJ Homosex
January 2025
Department of Psychology, Bryn Mawr College, Bryn Mawr, Pennsylvania, USA.
While research suggests that sexual racism is prevalent within the gay community, studies have neglected to examine how this specific manifestation of racism influences queer Asian American men's mental health. Queer Asian American men's health outcomes are often overlooked as racism-related studies tend to homogenize queer Asian American men with queer men of color broadly. Thus, the present study examined the association between sexual racism and queer Asian American men's depressive symptomatology and hazardous drinking, as well as the moderating role of collective racial self-esteem.
View Article and Find Full Text PDFBackground: Post-Traumatic Stress Disorder (PTSD) is a significant mental health concern in refugee populations exposed to trauma and displacement. Traditional treatments for PTSD often involve lengthy interventions. However, there's a growing interest in exploring more condensed, intensive treatments to improve outcomes and accessibility for refugees.
View Article and Find Full Text PDFmSystems
January 2025
Malopolska Centre of Biotechnology, Jagiellonian University, Kraków, Poland.
Average nucleotide identity (ANI) is a widely used metric to estimate genetic relatedness, especially in microbial species delineation. While ANI calculation has been well optimized for bacteria and closely related viral genomes, accurate estimation of ANI below 80%, particularly in large reference data sets, has been challenging due to a lack of accurate and scalable methods. To bridge this gap, we introduce MANIAC, an efficient computational pipeline optimized for estimating ANI and alignment fraction (AF) in viral genomes with divergence around ANI of 70%.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!