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Asiimwe IG, Pirmohamed M. Drug-Drug-Gene Interactions in Cardiovascular Medicine. Pharmgenomics Pers Med 2022; 15:879-911. [PMID: 36353710 PMCID: PMC9639705 DOI: 10.2147/pgpm.s338601] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Accepted: 10/21/2022] [Indexed: 11/18/2022] Open
Abstract
Cardiovascular disease remains a leading cause of both morbidity and mortality worldwide. It is widely accepted that both concomitant medications (drug-drug interactions, DDIs) and genomic factors (drug-gene interactions, DGIs) can influence cardiovascular drug-related efficacy and safety outcomes. Although thousands of DDI and DGI (aka pharmacogenomic) studies have been published to date, the literature on drug-drug-gene interactions (DDGIs, cumulative effects of DDIs and DGIs) remains scarce. Moreover, multimorbidity is common in cardiovascular disease patients and is often associated with polypharmacy, which increases the likelihood of clinically relevant drug-related interactions. These, in turn, can lead to reduced drug efficacy, medication-related harm (adverse drug reactions, longer hospitalizations, mortality) and increased healthcare costs. To examine the extent to which DDGIs and other interactions influence efficacy and safety outcomes in the field of cardiovascular medicine, we review current evidence in the field. We describe the different categories of DDIs and DGIs before illustrating how these two interact to produce DDGIs and other complex interactions. We provide examples of studies that have reported the prevalence of clinically relevant interactions and the most implicated cardiovascular medicines before outlining the challenges associated with dealing with these interactions in clinical practice. Finally, we provide recommendations on how to manage the challenges including but not limited to expanding the scope of drug information compendia, interaction databases and clinical implementation guidelines (to include clinically relevant DDGIs and other complex interactions) and work towards their harmonization; better use of electronic decision support tools; using big data and novel computational techniques; using clinically relevant endpoints, preemptive genotyping; ensuring ethnic diversity; and upskilling of clinicians in pharmacogenomics and personalized medicine.
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Affiliation(s)
- Innocent G Asiimwe
- The Wolfson Centre for Personalized Medicine, MRC Centre for Drug Safety Science, Department of Pharmacology and Therapeutics, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK
| | - Munir Pirmohamed
- The Wolfson Centre for Personalized Medicine, MRC Centre for Drug Safety Science, Department of Pharmacology and Therapeutics, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK
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Magliocco G, Desmeules J, Bosilkovska M, Thomas A, Daali Y. The 1β-Hydroxy-Deoxycholic Acid to Deoxycholic Acid Urinary Metabolic Ratio: Toward a Phenotyping of CYP3A Using an Endogenous Marker? J Pers Med 2021; 11:jpm11020150. [PMID: 33672438 PMCID: PMC7923269 DOI: 10.3390/jpm11020150] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2021] [Revised: 02/15/2021] [Accepted: 02/16/2021] [Indexed: 02/08/2023] Open
Abstract
In this study, we assessed the potential use of the 1β-hydroxy-deoxycholic acid (1β-OH-DCA) to deoxycholic acid (DCA) urinary metabolic ratio (UMR) as a CYP3A metric in ten male healthy volunteers. Midazolam (MDZ) 1 mg was administered orally at three sessions: alone (control session), after pre-treatment with fluvoxamine 50 mg (12 h and 2 h prior to MDZ administration), and voriconazole 400 mg (2 h before MDZ administration) (inhibition session), and after a 7-day pre-treatment with the inducer rifampicin 600 mg (induction session). The 1β-OH-DCA/DCA UMR was measured at each session, and correlations with MDZ metrics were established. At baseline, the 1β-OH-DCA/DCA UMR correlated significantly with oral MDZ clearance (r = 0.652, p = 0.041) and Cmax (r = -0.652, p = 0.041). In addition, the modulation of CYP3A was reflected in the 1β-OH-DCA/DCA UMR after the intake of rifampicin (induction ratio = 11.4, p < 0.01). During the inhibition session, a non-significant 22% decrease in 1β-OH-DCA/DCA was observed (p = 0.275). This result could be explained by the short duration of CYP3A inhibitors intake fixed in our clinical trial. Additional studies, particularly involving CYP3A inhibition for a longer period and larger sample sizes, are needed to confirm the 1β-OH-DCA/DCA metric as a suitable CYP3A biomarker.
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Affiliation(s)
- Gaëlle Magliocco
- Division of Clinical Pharmacology and Toxicology, Geneva University Hospitals, 1205 Geneva, Switzerland; (G.M.); (J.D.); (M.B.)
- Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, 1206 Geneva, Switzerland
| | - Jules Desmeules
- Division of Clinical Pharmacology and Toxicology, Geneva University Hospitals, 1205 Geneva, Switzerland; (G.M.); (J.D.); (M.B.)
- Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, 1206 Geneva, Switzerland
- Swiss Center for Applied Human Toxicology, 1205 Geneva, Switzerland;
- Faculty of Medicine, University of Geneva, 1206 Geneva, Switzerland
| | - Marija Bosilkovska
- Division of Clinical Pharmacology and Toxicology, Geneva University Hospitals, 1205 Geneva, Switzerland; (G.M.); (J.D.); (M.B.)
- Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, 1206 Geneva, Switzerland
| | - Aurélien Thomas
- Swiss Center for Applied Human Toxicology, 1205 Geneva, Switzerland;
- Forensic Toxicology and Chemistry Unit, CURML, 1000 Lausanne University Hospital, Geneva University Hospitals, Lausanne, 1205 Geneva, Switzerland
- Faculty Unit of Toxicology, CURML, Faculty of Biology and Medicine, University of Lausanne, 1000 Lausanne, Switzerland
| | - Youssef Daali
- Division of Clinical Pharmacology and Toxicology, Geneva University Hospitals, 1205 Geneva, Switzerland; (G.M.); (J.D.); (M.B.)
- Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, 1206 Geneva, Switzerland
- Swiss Center for Applied Human Toxicology, 1205 Geneva, Switzerland;
- Faculty of Medicine, University of Geneva, 1206 Geneva, Switzerland
- Correspondence:
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Hassett CE, Cho SM, Suarez JI. Tachyarrhythmias and neurologic complications. HANDBOOK OF CLINICAL NEUROLOGY 2021; 177:151-162. [PMID: 33632434 DOI: 10.1016/b978-0-12-819814-8.00004-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Tachyarrhythmias are abnormal heart rhythms with a ventricular rate of 100 or more beats per minute. These rhythms are classified as either narrow or wide-complex tachycardia with further subdivision into regular or irregular rhythm. Patients are frequently symptomatic presenting with palpitations, diaphoresis, dyspnea, chest pain, dizziness, and syncope. Sudden cardiac death may occur with certain arrhythmias. Recognizing tachyarrhythmia and understanding its management is important as a wide spectrum of neurologic complications have been associated with such arrhythmias. The purpose of this chapter is to provide a comprehensive overview on the neurologic complications of tachyarrhythmias, neurologic adverse events of antiarrhythmic interventions, and neurologic conditions that can precipitate tachyarrhythmia.
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Affiliation(s)
- Catherine E Hassett
- Cerebrovascular Center, Neurological Institute, Cleveland Clinic, Cleveland, OH, United States
| | - Sung-Min Cho
- Neurosciences Critical Care, Departments of Anesthesiology and Critical Care Medicine, Neurology, and Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Jose I Suarez
- Neurosciences Critical Care, Departments of Anesthesiology and Critical Care Medicine, Neurology, and Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
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Vernaz N, Simona A, Samer CF. The Swiss Cheese Prescribing Model for Precision Medicine. Am J Med 2020; 133:1249-1251. [PMID: 32603792 DOI: 10.1016/j.amjmed.2020.06.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2020] [Revised: 06/12/2020] [Accepted: 06/18/2020] [Indexed: 10/24/2022]
Affiliation(s)
- Nathalie Vernaz
- Medical Directorate, Finance Directorate Geneva University Hospitals, University of Geneva, Switzerland.
| | - Aurélien Simona
- Division of Clinical Pharmacology and Toxicology, Geneva University Hospitals, University of Geneva, Switzerland
| | - Caroline Flora Samer
- Division of Clinical Pharmacology and Toxicology, Geneva University Hospitals, University of Geneva, Switzerland
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Storelli F, Samer C, Reny JL, Desmeules J, Daali Y. Complex Drug-Drug-Gene-Disease Interactions Involving Cytochromes P450: Systematic Review of Published Case Reports and Clinical Perspectives. Clin Pharmacokinet 2018; 57:1267-1293. [PMID: 29667038 DOI: 10.1007/s40262-018-0650-9] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Drug pharmacokinetics (PK) is influenced by multiple intrinsic and extrinsic factors, among which concomitant medications are responsible for drug-drug interactions (DDIs) that may have a clinical relevance, resulting in adverse drug reactions or reduced efficacy. The addition of intrinsic factors affecting cytochromes P450 (CYPs) activity and/or expression, such as genetic polymorphisms and diseases, may potentiate the impact and clinical relevance of DDIs. In addition, greater variability in drug levels and exposures has been observed when such intrinsic factors are present in addition to concomitant medications perpetrating DDIs. This variability results in poor predictability of DDIs and potentially dramatic clinical consequences. The present review illustrates the issue of complex DDIs using systematically searched published case reports of DDIs involving genetic polymorphisms, renal impairment, cirrhosis, and/or inflammation. Current knowledge on the impact of each of these factors on drug exposure and DDIs is summarized and future perspectives for the management of such complex DDIs in clinical practice are discussed, including the use of advanced Computerized Physician Order Entry (CPOE) systems, the development of model-based dose optimization strategies, and the education of healthcare professionals with respect to personalized medicine.
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Affiliation(s)
- Flavia Storelli
- Division of Clinical Pharmacology and Toxicology, Geneva University Hospitals, University of Geneva, Geneva, Switzerland
- Geneva-Lausanne School of Pharmacy, University of Geneva, Geneva, Switzerland
| | - Caroline Samer
- Division of Clinical Pharmacology and Toxicology, Geneva University Hospitals, University of Geneva, Geneva, Switzerland
- Faculty of Medicine, University of Geneva, Geneva, Switzerland
- Swiss Center for Applied Human Toxicology, Geneva, Switzerland
| | - Jean-Luc Reny
- Faculty of Medicine, University of Geneva, Geneva, Switzerland
- Department of Internal Medicine, Rehabilitation and Geriatrics, Geneva University Hospitals, University of Geneva, Geneva, Switzerland
| | - Jules Desmeules
- Division of Clinical Pharmacology and Toxicology, Geneva University Hospitals, University of Geneva, Geneva, Switzerland
- Geneva-Lausanne School of Pharmacy, University of Geneva, Geneva, Switzerland
- Faculty of Medicine, University of Geneva, Geneva, Switzerland
- Swiss Center for Applied Human Toxicology, Geneva, Switzerland
| | - Youssef Daali
- Division of Clinical Pharmacology and Toxicology, Geneva University Hospitals, University of Geneva, Geneva, Switzerland.
- Geneva-Lausanne School of Pharmacy, University of Geneva, Geneva, Switzerland.
- Faculty of Medicine, University of Geneva, Geneva, Switzerland.
- Swiss Center for Applied Human Toxicology, Geneva, Switzerland.
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Siriangkhawut M, Tansakul P, Uchaipichat V. Prevalence of potential drug interactions in Thai patients receiving simvastatin: The causality assessment of musculoskeletal adverse events induced by statin interaction. Saudi Pharm J 2016; 25:823-829. [PMID: 28951665 PMCID: PMC5605837 DOI: 10.1016/j.jsps.2016.12.006] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2016] [Revised: 11/11/2016] [Accepted: 12/11/2016] [Indexed: 02/02/2023] Open
Abstract
Drug-drug interactions are one of the major risk factors associated with statin-induced myopathy. Although simvastatin is widely used in Thailand, studies investigating the prevalence of potential simvastatin-drug interactions (SDIs) and its clinical relevance in Thai population are still limited. We aimed to investigate the prevalence of potential SDIs (phase 1 study) and musculoskeletal adverse effects (AEs) associated with those interactions (phase 2 study). A phase 1 study was retrospectively conducted with outpatients at a 60-bed hospital who received simvastatin between July 1, 2012 and June 30, 2013. In phase 2, study was cross-sectionally conducted in outpatients whose prescriptions contain potential SDIs. Musculoskeletal AEs were evaluated by using symptom checklist questionnaires and measuring plasma creatinine kinase (CK). The causal relationship between the AEs and the potential SDIs was assessed using a Drug Interaction Probability Scale. Out of 3447 simvastatin users, potential SDIs were found in 314 patients (9.1%). The prevalence of prescriptions containing potential SDIs was in the range of 4.7–6.0%. Two-thirds of the potential SDIs were rated to be highly significant while more than 70% were in contraindication list. The most common precipitant drugs were gemfibrozil (382 prescriptions), colchicine (171 prescriptions) and amlodipine (152 prescriptions). Of 49 patients recruited into phase 2 study, we found that 31 patients (63.3%) had myopathy. Myalgia was the most frequently identified AEs (n = 18, 58.1%), followed by asymptomatic rising CK (n = 8, 25.8%), and myositis (n = 5, 16.1%). Musculoskeletal AEs associated with SDIs were found in 16 patients (51.6%). Of these, we found 50.0%, 31.3% and 18.8% had asymptomatic rising CK, myalgia, and myositis, respectively. Precipitant drugs associated with myopathy were amlodipine (2 possible cases), colchicine (3 possible cases), gemfibrozil (8 possible and 1 probable cases), nevirapine (1 possible case), and nicotinic acid (1 possible case). Potential SDIs have been found in the Thai population with a prevalence that is consistent with previous reports. Half of the musculoskeletal AEs identified were associated with SDIs. Systematic screening and management with interdisciplinary co-operation are needed to increase awareness of potential SDIs.
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Affiliation(s)
- Methira Siriangkhawut
- Piboonmungsaharn Hospital, Ubonratchathanee, Thailand
- Division of Pharmacy Practice, Faculty of Pharmaceutical Sciences, Khon Kaen University, Khon Kaen, Thailand
| | | | - Verawan Uchaipichat
- Division of Pharmacy Practice, Faculty of Pharmaceutical Sciences, Khon Kaen University, Khon Kaen, Thailand
- Corresponding author at: Division of Pharmacy Practice, Faculty of Pharmaceutical Sciences, Khon Kaen University, Khon Kaen 40002, Thailand. Fax: +66 43202379.Division of Pharmacy PracticeFaculty of Pharmaceutical SciencesKhon Kaen UniversityKhon Kaen40002Thailand
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Wiggins BS, Saseen JJ, Page RL, Reed BN, Sneed K, Kostis JB, Lanfear D, Virani S, Morris PB. Recommendations for Management of Clinically Significant Drug-Drug Interactions With Statins and Select Agents Used in Patients With Cardiovascular Disease: A Scientific Statement From the American Heart Association. Circulation 2016; 134:e468-e495. [DOI: 10.1161/cir.0000000000000456] [Citation(s) in RCA: 156] [Impact Index Per Article: 19.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
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Abstract
Rhabdomyolysis is characterized by severe acute muscle injury resulting in muscle pain, weakness, and/or swelling with release of myofiber contents into the bloodstream. Symptoms develop over hours to days after an inciting factor and may be associated with dark pigmentation of the urine. Serum creatine kinase and urine myoglobin levels are markedly elevated. Clinical examination, history, laboratory studies, muscle biopsy, and genetic testing are useful tools for diagnosis of rhabdomyolysis, and they can help differentiate acquired from inherited causes of rhabdomyolysis. Acquired causes include substance abuse, medication or toxic exposures, electrolyte abnormalities, endocrine disturbances, and autoimmune myopathies. Inherited predisposition to rhabdomyolysis can occur with disorders of glycogen metabolism, fatty acid β-oxidation, and mitochondrial oxidative phosphorylation. Less common inherited causes of rhabdomyolysis include structural myopathies, channelopathies, and sickle-cell disease. This review focuses on the differentiation of acquired and inherited causes of rhabdomyolysis and proposes a practical diagnostic algorithm. Muscle Nerve 51: 793-810, 2015.
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Affiliation(s)
- Jessica R Nance
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Andrew L Mammen
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.,Muscle Disease Unit, Laboratory of Muscle Stem Cells and Gene Regulation, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health, Building 50, Room 1146, Bethesda, Maryland, 20892, USA
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Zhelyazkova-Savova M, Gancheva S, Sirakova V. Potential statin-drug interactions: prevalence and clinical significance. SPRINGERPLUS 2014; 3:168. [PMID: 24790817 PMCID: PMC4000599 DOI: 10.1186/2193-1801-3-168] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 10/04/2013] [Accepted: 03/24/2014] [Indexed: 12/30/2022]
Abstract
Background Statins are cholesterol-lowering drugs widely used for cardiovascular prevention. Although safe when used alone, in combination with other drugs the likelihood of adverse drug reactions increases significantly. The exposure of the Bulgarian population to coprescriptions leading to potential statin-drug interactions is currently unknown. Objective The aim of this study was to investigate the incidence of coprescriptions involving statins and to compare the exposure of outpatients and inpatients to potential statin-drug interactions. Setting A cardiology clinic of the teaching University hospital in Varna, Bulgaria. Method This observational retrospective study examined the medical records of hospitalized patients prescribed a statin in combination with potentially interacting drugs. Patients who entered the hospital with a statin coprescription (considered outpatients) were compared with those coprescribed a statin at discharge from hospital (considered inpatients). Potentially interacting drugs included inhibitors and inducers of cytochrome P450 (CYP) enzymes and drugs of narrow safety margin (coumarin anticoagulants, digitalis). Main outcome measure The proportion of patients exposed to statin coprescriptions with potentially interacting drugs at hospital admission and discharge. Secondary outcome measures: laboratory evidence supporting possible statin-drug interactions. Results Out of 1641 hospitalized patients examined, 572 were prescribed a statin, either at hospital admission or discharge. Simvastatin was most commonly prescribed and simvastatin-drug coprescription predominated, especially at discharge. The exposure to all potential statin-drug interactions was similar at hospital admission (26.1%) and discharge (24.4%), as was the exposure to statin combinations with CYP inhibitors, 6.4% and 4%, correspondingly. Overall, more coprescriptions were generated, than were eliminated by hospital physicians. Amiodarone was the CYP inhibitor most frequently coprescribed. Of all interacting drugs acenocoumarol was the most commonly found, the proportions of statin-acenocoumarol coprescriptions being roughly the same at hospital entry (11.5%) and discharge (12.4%). In 7 patients out of 69 exposed to the combination, INR was found to be higher than 3, indicating a risk of over-anticoagulation. Conclusions Potential statin-drug interactions are common. Although they do not differ between outpatient and inpatient settings, new hazardous coprescriptions are more frequently generated in hospital. Caution is required when acenocoumarol is coprescribed with statins, especially simvastatin.
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Affiliation(s)
- Maria Zhelyazkova-Savova
- Department of Preclinical and Clinical Pharmacology, Varna Medical University, 55 Marin Drinov Street, Varna, 9002 Bulgaria
| | - Silvia Gancheva
- Department of Preclinical and Clinical Pharmacology, Varna Medical University, 55 Marin Drinov Street, Varna, 9002 Bulgaria
| | - Vera Sirakova
- University Hospital "St Marina", First Clinic of Cardiology, 1 Hristo Smirnenski Street, Varna, 9010 Bulgaria
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Abstract
INTRODUCTION Statins, the mainstay of lipid-lowering therapy, are among the most commonly used drugs due to their beneficial effects in cardiovascular morbidity and mortality. Simvastatin, one of the most well-studied statins, is available in several generic forms both as monotherapy and with ezetimibe and is frequently prescribed worldwide. Despite its overall favorable risk profile, several previously stated concerns regarding high-dose simvastatin were recently formalized by the Food and Drug Administration (FDA). AREAS COVERED This paper discusses the interactions between simvastatin and other drugs and presents the latest FDA recommendations regarding the safe use of this statin. Relevant articles were identified through a PubMed search (up to December 2011). Furthermore, the latest FDA warning (June 2011) regarding simvastatin use was taken into account. EXPERT OPINION Simvastatin may have serious side effects particularly when used in high doses and in combination with certain drugs. Physicians need to adjust the recent recommendations made by the FDA in clinical practice in order to prevent treatment complications.
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Affiliation(s)
- Matilda Florentin
- Department of Internal Medicine, Medical School, University of Ioannina, Ioannina, Greece
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Impact of CYP2D6 polymorphisms on the pharmacokinetics of lovastatin in Chinese subjects. Eur J Clin Pharmacol 2012; 68:943-9. [DOI: 10.1007/s00228-011-1202-5] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2011] [Accepted: 12/19/2011] [Indexed: 11/27/2022]
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