Objective: To estimate the clinical and economic benefits derived from increasing the use of fixed-dose combinations of high-intensity statins and ezetimibe in patients at high/very high cardiovascular risk, from the perspective of the Spanish National Health System (SNS).
Methods: A baseline scenario (current market shares) was compared with scenarios that increased the use of fixed-dose combinations (alternative: 30% increase; optimized: 69% increase). The potential annual increase in the number of controlled patients, cardiovascular events avoided and the associated savings in direct medical costs were estimated, including the cost of pharmacological treatment, follow-up, and managing cardiovascular events over a three-year time horizon.
Results: Over the three years of the study, the baseline scenario estimated a total of 1,552,686 controlled patients and 39,449 cardiovascular events, with a total cost to the SNS of €1,841,057,122. In the alternative scenario, controlled patients would increase by 36.1%, and 139 cardiovascular events would be avoided, resulting in savings for the SNS of €36,116,631. In the optimized scenario, there would be a 64% increase in controlled patients and 250cardiovascular events would be avoided, leading to savings of €56,415,300 for the SNS.
Conclusion: Increased use of high-intensity statin and ezetimibe fixed-dose combinations in patients with high/very high cardiovascular risk may increase the number of controlled patients, reduce cardiovascular events and produce economic savings from an SNS perspective.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.arteri.2024.500753 | DOI Listing |
Mayo Clin Proc
January 2025
Departments of Cardiovascular Surgery, Mayo Clinic, Rochester, MN, USA; Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN, USA; Robert and Arlene Kogod Center on Aging, Mayo Clinic, Rochester, MN, USA. Electronic address:
Objective: To study the effectiveness of virtual reality (VR) in reducing anxiety levels in patients undergoing first-time sternotomy for cardiac surgery.
Patients And Methods: A total of 100 adult patients scheduled for cardiac surgery at Mayo Clinic in Rochester, Minnesota, USA, was recruited from April 19, 2022, to October 12, 2022. Before surgery, patients wore a physiological monitor to record vital signs.
Am J Sports Med
January 2025
Department of Pharmacology and Biostatistics, College of Medicine, Alfaisal University, Riyadh, Saudi Arabia.
Background: Patellar instability is frequently encountered by orthopaedic surgeons. One of the major risk factors of this condition is underlying trochlear dysplasia (TD). Recent trends have indicated the use of multiple procedures to correct patellar instability under these conditions.
View Article and Find Full Text PDFSci Rep
January 2025
Institute for System Dynamics, University of Stuttgart, Waldburgstr. 19, 70563, Stuttgart, Germany.
Including sensor information in medical interventions aims to support surgeons to decide on subsequent action steps by characterizing tissue intraoperatively. With bladder cancer, an important issue is tumor recurrence because of failure to remove the entire tumor. Impedance measurements can help to classify bladder tissue and give the surgeons an indication on how much tissue to remove.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Dental Anesthesiology, School of Dentistry and Dental Research Institute, Seoul National University, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea.
Oropharyngeal and orthognathic surgeries cause more postoperative pain than simple dental procedures. The lack of detailed pain pattern analysis after dental surgeries makes pain management challenging. We assessed postoperative pain patterns in patients undergoing various dental surgeries, categorized based on changing pain levels, and identified the most frequent surgical procedures within each pain pattern cluster.
View Article and Find Full Text PDFNat Commun
January 2025
Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON, Canada.
Spatial protein expression technologies can map cellular content and organization by simultaneously quantifying the expression of >40 proteins at subcellular resolution within intact tissue sections and cell lines. However, necessary image segmentation to single cells is challenging and error prone, easily confounding the interpretation of cellular phenotypes and cell clusters. To address these limitations, we present STARLING, a probabilistic machine learning model designed to quantify cell populations from spatial protein expression data while accounting for segmentation errors.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!