Editor's note: This is the 12th article in a series on clinical research by nurses. The series is designed to give nurses the knowledge and skills they need to participate in research, step by step. Each column will present the concepts that underpin evidence-based practice-from research design to data interpretation. To see all the articles in the series, go to https://links.lww.com/AJN/A204.
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| http://dx.doi.org/10.1097/01.NAJ.0000890224.65902.0a | DOI Listing |
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Objective: To investigate young people's experience of retainer wear in the immediate term and at 6 months after appliance removal, and to explore the factors affecting retainer wear adherence.
Design: Qualitative study.
Setting: Orthodontic departments at two teaching hospitals in Yorkshire, UK.
Impact of disease-modifying therapies on pregnancy outcomes in multiple sclerosis: a prospective cohort study from the German multiple sclerosis and pregnancy registry.
Lancet Reg Health Eur
January 2025
Department of Neurology, St. Josef-Hospital - Katholisches Klinikum Bochum, Ruhr University Bochum, Gudrunstr. 56, 44791, Bochum, Germany.
Background: In recent decades, relapsing remitting multiple sclerosis (MS) became more treatable through new disease-modifying therapies (DMTs). Identifying safe treatments with minimal fetal risks for family planning is needed.
Methods: In this prospective cohort from the German MS and Pregnancy Registry (DMSKW), we analyzed pregnancy and neonatal outcomes in MS-patients using descriptive statistics and logistic/linear regression models to compare DMT-exposed pregnancies to DMT-unexposed pregnancies.
Introduction: Diagnostic performance of optical coherence tomography (OCT) to detect Alzheimer's disease (AD) and mild cognitive impairment (MCI) remains limited. We aimed to develop a deep-learning algorithm using OCT to detect AD and MCI.
Methods: We performed a cross-sectional study involving 228 Asian participants (173 cases/55 controls) for model development and testing on 68 Asian (52 cases/16 controls) and 85 White (39 cases/46 controls) participants.
Frontal plane mechanical leg alignment estimation from knee x-rays using deep learning.
Osteoarthr Cartil Open
March 2025
Department for Health Sciences, Medicine and Research, University of Continuing Education Krems, Krems, Austria.
Objective: Lower limb malalignment can complicate symptoms and accelerate knee osteoarthritis (OA), necessitating consideration in study population selection. In this study, we develop and validate a deep learning model that classifies leg alignment as "normal" or "malaligned" from knee antero-posterior (AP)/postero-anterior (PA) radiographs alone, using an adjustable hip-knee-ankle (HKA) angle threshold.
Material And Methods: We utilized 8878 digital radiographs, including 6181 AP/PA full-leg x-rays (LLRs) and 2697 AP/PA knee x-rays (2292 with positioning frame, 405 without).
Prevalence of hepatitis C virus co-infection in adults living with HIV in Mexico: a cross-sectional, seroprevalence study in a nationally representative sample.
Lancet Reg Health Am
January 2025
Departamento de Infectología, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico.
Background: The proportion of people living with HIV (PLWHIV) co-infected with HCV in Mexico was unknown. Our aim was to estimate the seroprevalence of HCV among adults with HIV in Mexico.
Methods: Using a complex-survey design, we collected blood samples and applied structured questionnaires between May 2nd, 2019 and February 17th, 2020 in a nationally, representative sample of adults receiving care for HIV-infection in 24 randomly selected HIV-care centres in 8 socio-demographically regions in Mexico.
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