In a simplified approach to the reaction kinetics of enzyme-linked immunoassays, a Langmuir-type equation y = [ax/(b + x)] + c was derived. This model proved to be superior to logit-log and semilog models in the curve-fitting of standard curves. An assay for alpha-fetoprotein developed in our laboratory with a sensitivity of 2 g/liter and a between-day coefficient of variation of about 15% was used for comparison of the different models. The proposed model has the advantage that it is based on the law of mass action and that blank determinations can be included in the calculation of the curves without giving a disproportionate bias.
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http://dx.doi.org/10.1016/0003-2697(87)90003-0 | DOI Listing |
Front Public Health
January 2025
School of Languages and Media, Anhui University of Finance and Economics, Bengbu, China.
Background: The social problems caused by depressive disorders and psychological behaviors in women are increasingly prominent, with extreme incidents occurring from time to time. Therefore, the issue concerning "how to prevent and resolve the risk of depression in women" is gaining significant attention across various sectors. However, previous studies have largely focused on teenage girls, perimenopausal women, or women during pregnancy and the postpartum period, neglecting the adverse effects of major diseases, which is detrimental to enhancing the psychological well-being of women with cancer.
View Article and Find Full Text PDFJACC Adv
February 2025
Department of Cardiology, Oklahoma Heart Hospital, Oklahoma, USA.
Background: Electrocardiography (ECG) is the gold standard for the diagnosis of atrial fibrillation (AF). Recently, smartwatches like the Apple Watch have emerged as a promising, user-friendly device for rapid detection and diagnosis of AF, but the reliability and diagnostic accuracy still remain controversial.
Objectives: The purpose of this study was to perform a systematic review and diagnostic test accuracy meta-analysis evaluating the diagnostic performance of the Apple Watch ECG in detecting AF.
Brain Commun
January 2025
Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford OX3 9DU, UK.
Digital cognitive testing using online platforms has emerged as a potentially transformative tool in clinical neuroscience. In theory, it could provide a powerful means of screening for and tracking cognitive performance in people at risk of developing conditions such as Alzheimer's disease. Here we investigate whether digital metrics derived from an in-person administered, tablet-based short-term memory task-the 'What was where?' Oxford Memory Task-were able to clinically stratify patients at different points within the Alzheimer's disease continuum and to track disease progression over time.
View Article and Find Full Text PDFFront Psychiatry
January 2025
Department of Mood Disorder, Affiliated Psychological Hospital of Anhui Medical University, Hefei, China.
Background: The recurrence rate of bipolar disorder (BD) is relatively high. Assessing the risk of relapse in patients with BD can assist in identifying populations at high risk for recurrence, and early feasible interventions can improve patient' prognoses. Therefore, it is important to establish and validate predictive models for relapse risk in patients with BD.
View Article and Find Full Text PDFFront Cell Infect Microbiol
January 2025
Department of Clinical Laboratory, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Background: Though droplet digital PCR (ddPCR) has emerged as a promising tool for early pathogen detection in bloodstream infections (BSIs), more studies are needed to support its clinical application widely due to different ddPCR platforms with discrepant diagnostic performance. Additionally, there is still a lack of clinical data to reveal the association between pathogen loads detected by ddPCR and corresponding BSIs.
Methods: In this prospective study, 173 patients with suspected BSIs were enrolled.
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