Purpose: HMG-CoA reductase inhibitors (statins) are extensively used in treating hypercholesterolemia. The statins available in Malaysia include atorvastatin, lovastatin, pravastatin, rosuvastatin, simvastatin, and fluvastatin. Over the years, they have accumulated in the National Drug Formulary; hence, the need for review. Effective selection of the best drugs to remain in the formulary can become complex due to the multiple drug attributes involved, and is made worse by the limited time and resources available. The multiattribute scoring tool (MAST) systematizes the evaluation of the drug attributes to facilitate the drug selection process. In this study, a MAST framework was developed to rank the statins based on their utilities or benefits.
Methods: Published literature on multicriteria decision analysis (MCDA) were studied and five sessions of expert group discussions were conducted to build the MAST framework and to review the evidence. The attributes identified and selected for analysis were efficacy (clinical efficacy, clinical endpoints), safety (drug interactions, serious side effects and documentation), drug applicability (drug strength/formulation, indications, dose frequency, side effects, food-drug interactions, and dose adjustments), and cost. The average weights assigned by the members for efficacy, safety, drug applicability and cost were 32.6%, 26.2%, 24.1%, and 17.1%, respectively. The utility values of the attributes were scored based on the published evidence or/and agreements during the group discussions. The attribute scores were added up to provide the total utility score.
Results: Using the MAST, the six statins under review were successfully scored and ranked. Atorvastatin scored the highest total utility score (TUS) of 84.48, followed by simvastatin (83.11). Atorvastatin and simvastatin scored consistently high, even before drug costs were included. The low scores on the side effects for atorvastatin were compensated for by the higher scores on the clinical endpoints resulting in a higher TUS for atorvastatin. Fluvastatin recorded the lowest TUS.
Conclusion: The multiattribute scoring tool was successfully applied to organize decision variables in reviewing statins for the formulary. Based on the TUS, atorvastatin is recommended to remain in the formulary and be considered as first-line in the treatment of hypercholesterolemia.
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http://dx.doi.org/10.2147/TCRM.S52078 | DOI Listing |
Heliyon
January 2025
Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences (SIMATS), Chennai 602105, Tamil Nadu, India.
Understanding the biomechanics of osteoarthritis is necessary for designing a biomedical knee implant to reduce pain, increase mobility, and enhance the patient's quality of life. The most appropriate implant design may be chosen by using Multi-Attribute Group Decision-Making (MAGDM) techniques, which include a number of variables including material characteristics, biomechanical performance, cost-effectiveness, and patient-specific requirements. Compared to conventional fuzzy set structures, Spherical Fuzzy -Number Sets ( S) provide an enhanced method for resolving uncertainty in MAGDM and are more suited for handling complicated decision-making situations.
View Article and Find Full Text PDFACS Omega
January 2025
Faculty of Materials Science and Technology, Kim Chaek University of Technology, Pyongyang 999093, Democratic People's Republic of Korea.
Metal injection molding (MIM) is an advanced manufacturing technology for producing complex metal parts with precise dimensions. Multiattribute decision making (MADM) can convert multiple quality attributes into a single overall quality score (OQS). To improve multiple quality attributes of the MIM compacts, a reasonable multiobjective optimization method should be applied.
View Article and Find Full Text PDFSensors (Basel)
December 2024
College of Automotive Engineering, Jilin University, Changchun 130025, China.
The cockpit is evolving from passive, reactive interaction toward proactive, cognitive interaction, making precise predictions of driver intent a key factor in enhancing proactive interaction experiences. This paper introduces Cockpit-Llama, a novel language model specifically designed for predicting driver behavior intent. Cockpit-Llama predicts driver intent based on the relationship between current driver actions, historical interactions, and the states of the driver and cockpit environment, thereby supporting further proactive interaction decisions.
View Article and Find Full Text PDFRisk Anal
January 2025
Center for Risk and Economic Analysis of Threats and Emergencies (CREATE), University of Southern California, Los Angeles, California, USA.
On April 28, 2004, the United Nations Security Council unanimously adopted United Nations Security Council Resolution (UNSCR) 1540. It requires countries to develop and enforce legal and regulatory measures against the proliferation of weapons of mass destruction (WMDs) and their means of delivery, with a focus on the spread to nonstate actors. To date, compliance with UNSCR 1540 has been challenging.
View Article and Find Full Text PDFAlzheimers Dement (N Y)
November 2024
Department of Neurology Biologic Sciences Division, Healthy Aging and Alzheimer's Research Care Center University of Chicago Chicago Illinois USA.
Introduction: Measurements of health-related quality of life (HRQoL) are important for capturing disease impact beyond physical health and relative to other diseases but have rarely been assessed in primary progressive aphasia (PPA).
Methods: HRQoL was characterized overall, by sex and subtype in PPA ( = 118) using the Health Utilities Index-2/3 (HUI2/3). Multiple linear regression assessed associations between HRQoL and language severity.
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