Objective: To develop a high resolution mass spectrometry (HRMS) method to quantify levonorgestrel (LNG) in serum.
Study Design: Levonorgestrel was extracted using solid phase extraction and measured using liquid chromatography (LC) HRMS.
Results: Low limit of quantification (LLOQ) was 25 pg/mL and low limit of detection (LLOD) was 12.5 pg/mL. Precision and accuracy bias were <10%. LNG in serum samples from Mirena® users ranged between 37 to 219 pg/mL (n=12). In eight out of 22 patients with suspected intrauterine device (IUD) expulsion LNG was detected (26-1272 pg/mL).
Conclusion: A sensitive, fast and simple LC-HRMS method was developed to detect trace levels of LNG.
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http://dx.doi.org/10.1016/j.contraception.2019.06.001 | DOI Listing |
J Med Internet Res
January 2025
Department High-Tech Business and Entrepreneurship Section, Industrial Engineering and Business Information Systems, University of Twente, Enschede, Overijssel, Netherlands.
Health recommender systems (HRS) have the capability to improve human-centered care and prevention by personalizing content, such as health interventions or health information. HRS, an emerging and developing field, can play a unique role in the digital health field as they can offer relevant recommendations, not only based on what users themselves prefer and may be receptive to, but also using data about wider spheres of influence over human behavior, including peers, families, communities, and societies. We identify and discuss how HRS could play a unique role in decreasing health inequities.
View Article and Find Full Text PDFNeurology
February 2025
Department of Neurology and Center of Clinical Neuroscience, First Medical Faculty, General University Hospital and Charles University, Prague, Czech Republic.
Background And Objectives: Patients with multiple sclerosis (MS) may demonstrate better disease control when treatment is initiated on high-efficacy disease-modifying therapies (DMTs) from onset. This subgroup analysis assessed the long-term efficacy and safety profile of the high-efficacy DMT ocrelizumab (OCR) as first-line therapy for early-stage relapsing MS (RMS).
Methods: Post hoc exploratory analyses of efficacy and safety were performed in a subgroup of treatment-naive patients with RMS who received ≥1 dose of OCR in the multicenter OPERA I/II (NCT01247324/NCT01412333) studies.
JCO Glob Oncol
January 2025
Uganda Cancer Institute, Department of Radiotherapy, Kampala, Uganda.
The evolution of radiation therapy in Uganda has been a journey marked by significant milestones and persistent challenges. Since the inception of radiotherapy services in 1988-1989, there has been a concerted effort to enhance cancer treatment services. The early years were characterized by foundational developments, such as the installation of the first teletherapy units, low-dose-rate brachytherapy units, and conventional simulators, and the recognition of radiation oncologists and medical physicist professionals laid the groundwork for radiotherapy treatment modalities.
View Article and Find Full Text PDFACS Sens
January 2025
Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.
Solid-phase immunosorbent reactions, such as ELISA, are widely used for detecting, identifying, and quantifying protein markers. However, traditional centimeter scale well-based immunoreactors suffer from low surface-to-volume (S/V) ratios, leading to large sample consumption and a long assay time. Microfluidic technologies, particularly tubular microfluidic immunoreactors, have emerged as promising alternatives due to their high S/V ratios.
View Article and Find Full Text PDFAnnu Rev Genomics Hum Genet
January 2025
1Department of Medical Genetics and Genomic Medicine, School of Medical Sciences, University of Campinas, Campinas, Brazil;
Integrating genomics into healthcare within the precision medicine (PM) framework poses distinct challenges in resource-limited regions like Latin America and the Caribbean (LAC). These challenges arise partly from the lack of PM models tailored for low- and middle-income countries. To address this, healthcare authorities in LAC should adopt predictive models to estimate costs and infrastructure needed for PM programs.
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