Objectives: To define the acquisition rate of Chlamydia trachomatis among a cohort of young, nonhealth-care seeking, sexually active women with well-defined exposure periods over a 12-month period.
Goal: The long-term goal is to inform public health practitioners and young women of the risk of reinfection with C. trachomatis and the need for frequent active screening to eliminate asymptomatic infections over time.
Study Design: Young sexually active female Marine Corps recruits (N = 332), serving as "controls" for an intervention to prevent sexually transmitted infections, were screened for C. trachomatis using nucleic acid amplification tests (treated if positive) at entry (T1). They were rescreened and completed self-report behavioral surveys at 4 weeks (T2) and 9 to 12 months (T3) from recruit training.
Main Outcome Measure: The rate of C. trachomatis acquisition during a contiguous 12-month period.
Results: Based on microbiologic laboratory testing alone, the acquisition rate for C. trachomatis was 3.6% (T2) and 9.9% (T3) yielding a total of 13.0%. The self-reported acquisition rate for the period since graduation from recruit training was 8.1% yielding a total acquisition rate of 19.9%.
Conclusions: The acquisition rate among this cohort of nonhealth-care seeking young women, who have universal health care access is as high or higher than most clinic-based studies, suggesting the need for increased implementation of active screening in primary, urgent, and nonclinic settings.
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http://dx.doi.org/10.1097/OLQ.0b013e31815c1bd0 | DOI Listing |
Paediatr Drugs
January 2025
Institute of Clinical Pharmacology, Peking University First Hospital, Beijing, China.
Background: This study aimed to provide a comprehensive review of adverse events (AEs) associated with factor Xa (FXa) inhibitors in pediatric patients.
Methods: We searched PubMed, Embase, Cochrane Library, ClinicalTrials.gov, and the European Union Clinical Trials Register for English-language records from the establishment of the database up to October 17, 2023.
Magn Reson Med
January 2025
Department of Radiology, University of Missouri, Columbia, Missouri, USA.
Purpose: The aim of the work is to develop a cascaded diffusion-based super-resolution model for low-resolution (LR) MR tagging acquisitions, which is integrated with parallel imaging to achieve highly accelerated MR tagging while enhancing the tag grid quality of low-resolution images.
Methods: We introduced TagGen, a diffusion-based conditional generative model that uses low-resolution MR tagging images as guidance to generate corresponding high-resolution tagging images. The model was developed on 50 patients with long-axis-view, high-resolution tagging acquisitions.
Appl Health Econ Health Policy
January 2025
Menzies Centre for Health Policy and Economics, Sydney School of Public Health, University of Sydney, Sydney, NSW, Australia.
Background: Non-invasive prenatal testing has the potential to be a useful genetic screening tool in Australia. However, concerns have been raised about its cost, commercial provision, the psychological impacts of the screening process, and disparities in access experienced by rural and regional communities.
Aims: The aims of this study are (1) to estimate Australian preferences for features of prenatal screening; (2) to explore potential variations in preferences between metropolitan and rural/regional communities; (3) to estimate the extent to which respondents are willing to trade-off between attributes, using willingness to pay (WTP) and willingness to wait estimates.
Sci Rep
January 2025
Department of Natural and Engineering Sciences, College of Applied Studies and Community Services, King Saud University, Riyadh, 11543, Saudi Arabia.
Underwater environmental exploration using sensor nodes has emerged as a critical endeavor fraught with challenges such as localization errors, energy, and costs attributed to the dynamic nature of underwater environments. This paper proposes a KNN-based cost-efficient machine-learning algorithm aimed at optimizing underwater context acquisition with sensor nodes. By addressing existing localization challenges, the algorithm minimizes localization errors, energy consumption and Time costs while significantly enhancing localization accuracy to 99.
View Article and Find Full Text PDFValue Health Reg Issues
January 2025
Novartis Singapore Pte Ltd, Singapore. Electronic address:
Objectives: This analysis evaluated the cost-effectiveness of inclisiran plus standard of care (SoC; comprising statins, ezetimibe, and fenofibrate) in primary hypercholesterolemia or mixed dyslipidemia from a Singapore healthcare system perspective. Inclisiran + SoC was separately compared with SoC, alirocumab + SoC, and evolocumab + SoC.
Methods: A lifetime Markov model in the United Kingdom (UK) was adapted to the Singapore setting.
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