Sewon Park, Ju Won Lee, Dal Ri Nam, Sun-Young Jung
{"title":"探讨现实世界中与他汀类药物和禁忌症相关的肌病信号。","authors":"Sewon Park, Ju Won Lee, Dal Ri Nam, Sun-Young Jung","doi":"10.1111/fcp.12959","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Background</h3>\n \n <p>Using statins in combination with other drugs was reported to increase the risk of myopathy. However, there was a sparse number of studies on the incidence of adverse events (AEs) associated with the concomitant use of statin and contraindicated drugs in the real world.</p>\n </section>\n \n <section>\n \n <h3> Objectives</h3>\n \n <p>This study aimed to identify the risk of concomitant use of statins with contraindicated drugs by exploring signals related to statin–drug interactions.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>We performed a disproportionality analysis for drugs and AEs by applying the case/non-case study using the KIDS-KAERS database (KIDS-KD), 2016–2020. A case was defined as an individual case safety reports (ICSRs) including “rhabdomyolysis/myopathy.” A non-case was defined as an ICSR, including all other AEs. We applied Ω shrinkage measure model, chi-square statics model, additive model, multiplicative model, and combination risk ratio model to detect signals of myopathy due to statin with concomitant drugs including antiviral agents, immunosuppressants, and antifungals.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>Among 1 011 234 ICSRs, 2708 were cases, with 861 cases of statin monotherapy and 1248 of concomitant uses of statin. The adjusted reporting odds ratios were 3.27 (95% confidence interval [CI]: 3.11–3.43), 8.70 (95% CI: 8.04–9.40), and 1.83 (95% CI: 1.73–1.94), respectively. Several combinations of signals were detected through an additive model or multiplicative model.</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>Signals of an increased risk of myopathy associated with the use of statins with concomitant drugs, including contraindicated drugs, were confirmed in a real-world setting.</p>\n </section>\n </div>","PeriodicalId":12657,"journal":{"name":"Fundamental & Clinical Pharmacology","volume":null,"pages":null},"PeriodicalIF":2.1000,"publicationDate":"2023-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Exploring signals of myopathy associated with statin and contraindicated comedications in the realworld\",\"authors\":\"Sewon Park, Ju Won Lee, Dal Ri Nam, Sun-Young Jung\",\"doi\":\"10.1111/fcp.12959\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Background</h3>\\n \\n <p>Using statins in combination with other drugs was reported to increase the risk of myopathy. However, there was a sparse number of studies on the incidence of adverse events (AEs) associated with the concomitant use of statin and contraindicated drugs in the real world.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Objectives</h3>\\n \\n <p>This study aimed to identify the risk of concomitant use of statins with contraindicated drugs by exploring signals related to statin–drug interactions.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>We performed a disproportionality analysis for drugs and AEs by applying the case/non-case study using the KIDS-KAERS database (KIDS-KD), 2016–2020. A case was defined as an individual case safety reports (ICSRs) including “rhabdomyolysis/myopathy.” A non-case was defined as an ICSR, including all other AEs. We applied Ω shrinkage measure model, chi-square statics model, additive model, multiplicative model, and combination risk ratio model to detect signals of myopathy due to statin with concomitant drugs including antiviral agents, immunosuppressants, and antifungals.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>Among 1 011 234 ICSRs, 2708 were cases, with 861 cases of statin monotherapy and 1248 of concomitant uses of statin. The adjusted reporting odds ratios were 3.27 (95% confidence interval [CI]: 3.11–3.43), 8.70 (95% CI: 8.04–9.40), and 1.83 (95% CI: 1.73–1.94), respectively. 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Exploring signals of myopathy associated with statin and contraindicated comedications in the realworld
Background
Using statins in combination with other drugs was reported to increase the risk of myopathy. However, there was a sparse number of studies on the incidence of adverse events (AEs) associated with the concomitant use of statin and contraindicated drugs in the real world.
Objectives
This study aimed to identify the risk of concomitant use of statins with contraindicated drugs by exploring signals related to statin–drug interactions.
Methods
We performed a disproportionality analysis for drugs and AEs by applying the case/non-case study using the KIDS-KAERS database (KIDS-KD), 2016–2020. A case was defined as an individual case safety reports (ICSRs) including “rhabdomyolysis/myopathy.” A non-case was defined as an ICSR, including all other AEs. We applied Ω shrinkage measure model, chi-square statics model, additive model, multiplicative model, and combination risk ratio model to detect signals of myopathy due to statin with concomitant drugs including antiviral agents, immunosuppressants, and antifungals.
Results
Among 1 011 234 ICSRs, 2708 were cases, with 861 cases of statin monotherapy and 1248 of concomitant uses of statin. The adjusted reporting odds ratios were 3.27 (95% confidence interval [CI]: 3.11–3.43), 8.70 (95% CI: 8.04–9.40), and 1.83 (95% CI: 1.73–1.94), respectively. Several combinations of signals were detected through an additive model or multiplicative model.
Conclusion
Signals of an increased risk of myopathy associated with the use of statins with concomitant drugs, including contraindicated drugs, were confirmed in a real-world setting.
期刊介绍:
Fundamental & Clinical Pharmacology publishes reports describing important and novel developments in fundamental as well as clinical research relevant to drug therapy. Original articles, short communications and reviews are published on all aspects of experimental and clinical pharmacology including:
Antimicrobial, Antiviral Agents
Autonomic Pharmacology
Cardiovascular Pharmacology
Cellular Pharmacology
Clinical Trials
Endocrinopharmacology
Gene Therapy
Inflammation, Immunopharmacology
Lipids, Atherosclerosis
Liver and G-I Tract Pharmacology
Metabolism, Pharmacokinetics
Neuropharmacology
Neuropsychopharmacology
Oncopharmacology
Pediatric Pharmacology Development
Pharmacoeconomics
Pharmacoepidemiology
Pharmacogenetics, Pharmacogenomics
Pharmacovigilance
Pulmonary Pharmacology
Receptors, Signal Transduction
Renal Pharmacology
Thrombosis and Hemostasis
Toxicopharmacology
Clinical research, including clinical studies and clinical trials, may cover disciplines such as pharmacokinetics, pharmacodynamics, pharmacovigilance, pharmacoepidemiology, pharmacogenomics and pharmacoeconomics. Basic research articles from fields such as physiology and molecular biology which contribute to an understanding of drug therapy are also welcomed.