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| http://dx.doi.org/10.1186/s12987-023-00456-x | DOI Listing |
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Ethanol and the Limitations of the Osmol Gap.
Ann Emerg Med
January 2025
Division of Medical Toxicology, University of Pittsburgh School of Medicine, Pittsburgh, PA.
Study Objective: The osmol gap can help detect and manage those with toxic alcohol exposure, and it is altered by all alcohols including ethanol. The optimal correction for ethanol that would allow accurate detection of an alternative alcohol is unclear.
Methods: We conducted a prospective cohort study to assess baseline variations in osmol gap, and then to assess the validity of 2 commonly used coefficients (correction factors) for ethanol.
Estimating Total-Tract Digestibility of Nutrients and Their Contribution to Digestible Energy Supplies in Equine Diets.
J Equine Vet Sci
January 2025
School of Animal Sciences, Virginia Polytechnic Institute and State University, 175 West Campus Dr., Blacksburg, VA, USA, 24061. Electronic address:
Our objectives were to use a quantitative literature review to explore dietary and feed factors influencing apparent total-tract digestibility of dry matter (DMD), crude protein (CPD), neutral detergent fiber (NDFD), ether extract (EED), non-structural carbohydrates (NSCD), non-fiber carbohydrates (NFCD), and residual organic matter (rOMD) in equine diets, and to assess their contributions to digestible energy (DE) supplies. Data from 54 studies were modeled using linear mixed-effect regressions, with publication as a random effect to account for study variability. For each nutrient, five models were derived with explanatory variables including: dry matter intake (DMI; % BW/day) and DM (% as-fed), and dietary components (CP, organic matter, EE, NDF, acid detergent fiber, NSC, starch, and NFC as % of DM), and feed types (forage, non-forage fiber, legumes, cereal, and oil proportions).
View Article and Find Full Text PDFPartial AUCs in Long-Acting Injectables: Rationale, Challenges, Variability, Usefulness, and Clinical Relevance.
Pharmaceutics
December 2024
Pharmathen SA, 31 Spartis Str., 14452 Metamorfosi Attica, Greece.
Regulatory authorities typically require bioequivalence to be demonstrated by comparing pharmacokinetic parameters like area under the plasma concentration-time curve (AUC) and maximum plasma concentration (C). Because in certain cases, AUC and C alone may not be adequate to identify formulation differences in early and/or late segments of the dosing interval, partial AUCs (pAUCs) have been proposed as additional metrics to evaluate bioequivalence. Even though cut-off points for pAUCs are usually decided based on clinical relevance, the identification of the correct cut-off range remains elusive in many other cases and tends to contribute to increased pAUC estimate variabilities.
View Article and Find Full Text PDFMagnesium Depletion Score and Mortality in Individuals with Metabolic Dysfunction Associated Steatotic Liver Disease over a Median Follow-Up of 26 Years.
Nutrients
January 2025
Division of Epidemiology, Vanderbilt Epidemiology Center, Department of Medicine, Vanderbilt University Medical Center, Vanderbilt University School of Medicine, Nashville, TN 37203, USA.
Unlabelled: Metabolic dysfunction associated steatotic liver disease (MASLD) has been associated with increased risks of all-cause and cardiovascular disease (CVD) mortality. Identification of modifiable risk factors that may contribute to higher risks of mortality could facilitate targeted and intensive intervention strategies in this population. This study aims to examine whether the magnesium depletion score (MDS) is associated with all-cause and CVD mortality among individuals with MASLD or metabolic and alcohol associated liver disease (MetALD).
View Article and Find Full Text PDFLow-Complexity Timing Correction Methods for Heart Rate Estimation Using Remote Photoplethysmography.
Sensors (Basel)
January 2025
Department of Biomedical and Robotics Engineering, Incheon National University, Incheon 22012, Republic of Korea.
With the rise of modern healthcare monitoring, heart rate (HR) estimation using remote photoplethysmography (rPPG) has gained attention for its non-contact, continuous tracking capabilities. However, most HR estimation methods rely on stable, fixed sampling intervals, while practical image capture often involves irregular frame rates and missing data, leading to inaccuracies in HR measurements. This study addresses these issues by introducing low-complexity timing correction methods, including linear, cubic, and filter interpolation, to improve HR estimation from rPPG signals under conditions of irregular sampling and data loss.
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