Introduction And Objectives: To estimate the cost-effectiveness of rosuvastatin versus simvastatin, atorvastatin and pitavastatin in Spain, according to the European guidelines for the treatment of dyslipidemias in patients with high and very high cardiovascular risk.
Methods: A Markov long-term cost-effectiveness model of rosuvastatin versus simvastatin, atorvastatin and pitavastatin in patients with high and very high cardiovascular risk defined according to 5 factors (sex, age, smoking habit, baseline cholesterol level, and systolic blood pressure) using the SCORE system. The incremental cost-effectiveness ratio is expressed in euros per quality adjusted life years and is calculated according to the perspective of the Spanish National Health System.
Results: Rosuvastatin is associated with a greater health benefit than the other statins across the considered profiles. Rosuvastatin is cost-effective compared to simvastatin in patients with SCORE risk ≥8% in females and ≥6% in males, while between 5% and the indicated values its cost-effectiveness is conditional to the patient baseline c-LDL level. Rosuvastatin is more cost-effective versus atorvastatin in female profiles associated with a SCORE risk≥11% and male profiles with SCORE risk ≥10%. Rosuvastatin is superior versus pitavastatin in both female and male profiles with high and very high cardiovascular risk.
Conclusions: Rosuvastatin is a cost-effective therapy in the treatment of hypercholesterolemia versus simvastatin, atorvastatin and pitavastatin, especially in specific profiles of patients with high and very high cardiovascular risk factors, according to the SCORE system, in Spain.
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http://dx.doi.org/10.1016/j.arteri.2014.11.003 | DOI Listing |
Network
December 2024
Department of Electronics and Communication Engineering, Dronacharya Group of Institutions, Greater Noida, UP, India.
Speaker verification in text-dependent scenarios is critical for high-security applications but faces challenges such as voice quality variations, linguistic diversity, and gender-related pitch differences, which affect authentication accuracy. This paper introduces a Gender-Aware Siamese-Triplet Network-Deep Neural Network (ST-DNN) architecture to address these challenges. The Gender-Aware Network utilizes Convolutional 2D layers with ReLU activation for initial feature extraction, followed by multi-fusion dense skip connections and batch normalization to integrate features across different depths, enhancing discrimination between male and female speakers.
View Article and Find Full Text PDFMed Care
November 2024
Institute of Clinical Biometrics, Center for Medical Data Science, Medical University of Vienna, Vienna, Austria.
Background: Practice guidelines recommend patient management based on scientific evidence. Quality indicators gauge adherence to such recommendations and assess health care quality. They are usually defined as adverse event rates, which may not fully capture guideline adherence over time.
View Article and Find Full Text PDFMed Sci Sports Exerc
October 2024
School of Health and Rehabilitation Sciences, The Ohio State University, Columbus, OH.
Purpose: Motion capture technology is quickly evolving providing researchers, clinicians, and coaches with more access to biomechanics data. Markerless motion capture and inertial measurement units (IMUs) are continually developing biomechanics tools that need validation for dynamic movements before widespread use in applied settings. This study evaluated the validity of a markerless motion capture, IMU, and red, green, blue, and depth (RGBD) camera system as compared to marker-based motion capture during countermovement jumps, overhead squats, lunges, and runs with cuts.
View Article and Find Full Text PDFBehav Res Methods
December 2024
Department of Psychology, Bielefeld University, Universitätsstraße 25, 33615, Bielefeld, Germany.
Following the (revised) latent state-trait theory, the present study investigates the within-subject reliability, occasion specificity, common consistency, and construct validity of cognitive control measures in an intensive longitudinal design. These indices were calculated applying dynamic structural equation modeling while accounting for autoregressive effects and trait change. In two studies, participants completed two cognitive control tasks (Stroop and go/no-go) and answered questions about goal pursuit, self-control, executive functions, and situational aspects, multiple times per day.
View Article and Find Full Text PDFSci Rep
December 2024
School of Chemistry, Faculty of Engineering and Physical Sciences, University of Southampton, Life Sciences Building 85, University Road, Highfield, Southampton, SO17 1BJ, UK.
Osteoarthritis (OA) is a complex disease of cartilage characterised by joint pain, functional limitation, and reduced quality of life with affected joint movement leading to pain and limited mobility. Current methods to diagnose OA are predominantly limited to X-ray, MRI and invasive joint fluid analysis, all of which lack chemical or molecular specificity and are limited to detection of the disease at later stages. A rapid minimally invasive and non-destructive approach to disease diagnosis is a critical unmet need.
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