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Padhani ZA, Gangwani MK, Sadaf A, Hasan B, Colan S, Alvi N, Das JK. Calcium channel blockers for preventing cardiomyopathy due to iron overload in people with transfusion-dependent beta thalassaemia. Cochrane Database Syst Rev 2023; 11:CD011626. [PMID: 37975597 PMCID: PMC10655499 DOI: 10.1002/14651858.cd011626.pub3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/19/2023]
Abstract
BACKGROUND Beta-thalassaemia is an inherited blood disorder that reduces the production of haemoglobin. The most severe form requires recurrent blood transfusions, which can lead to iron overload. Cardiovascular dysfunction caused by iron overload is the leading cause of morbidity and mortality in people with transfusion-dependent beta-thalassaemia. Iron chelation therapy has reduced the severity of systemic iron overload, but removal of iron from the myocardium requires a very proactive preventive strategy. There is evidence that calcium channel blockers may reduce myocardial iron deposition. This is an update of a Cochrane Review first published in 2018. OBJECTIVES To assess the effects of calcium channel blockers plus standard iron chelation therapy, compared with standard iron chelation therapy (alone or with a placebo), on cardiomyopathy due to iron overload in people with transfusion-dependent beta thalassaemia. SEARCH METHODS We searched the Cochrane Haemoglobinopathies Trials Register, compiled from electronic database searches and handsearching of journals and conference abstract books, to 13 January 2022. We also searched ongoing trials databases and the reference lists of relevant articles and reviews. SELECTION CRITERIA We included randomised controlled trials (RCTs) of calcium channel blockers combined with standard chelation therapy versus standard chelation therapy alone or combined with placebo in people with transfusion-dependent beta thalassaemia. DATA COLLECTION AND ANALYSIS We used standard Cochrane methods. We used GRADE to assess certainty of evidence. MAIN RESULTS We included six RCTs (five parallel-group trials and one cross-over trial) with 253 participants; there were 126 participants in the amlodipine arms and 127 in the control arms. The certainty of the evidence was low for most outcomes at 12 months; the evidence for liver iron concentration was of moderate certainty, and the evidence for adverse events was of very low certainty. Amlodipine plus standard iron chelation compared with standard iron chelation (alone or with placebo) may have little or no effect on cardiac T2* values at 12 months (mean difference (MD) 1.30 ms, 95% confidence interval (CI) -0.53 to 3.14; 4 trials, 191 participants; low-certainty evidence) and left ventricular ejection fraction (LVEF) at 12 months (MD 0.81%, 95% CI -0.92% to 2.54%; 3 trials, 136 participants; low-certainty evidence). Amlodipine plus standard iron chelation compared with standard iron chelation (alone or with placebo) may reduce myocardial iron concentration (MIC) after 12 months (MD -0.27 mg/g, 95% CI -0.46 to -0.08; 3 trials, 138 participants; low-certainty evidence). The results of our analysis suggest that amlodipine has little or no effect on heart T2*, MIC, or LVEF after six months, but the evidence is very uncertain. Amlodipine plus standard iron chelation compared with standard iron chelation (alone or with placebo) may increase liver T2* values after 12 months (MD 1.48 ms, 95% CI 0.27 to 2.69; 3 trials, 127 participants; low-certainty evidence), but may have little or no effect on serum ferritin at 12 months (MD 0.07 μg/mL, 95% CI -0.20 to 0.35; 4 trials, 187 participants; low-certainty evidence), and probably has little or no effect on liver iron concentration (LIC) after 12 months (MD -0.86 mg/g, 95% CI -4.39 to 2.66; 2 trials, 123 participants; moderate-certainty evidence). The results of our analysis suggest that amlodipine has little or no effect on serum ferritin, liver T2* values, or LIC after six months, but the evidence is very uncertain. The included trials did not report any serious adverse events at six or 12 months of intervention. The studies did report mild adverse effects such as oedema, dizziness, mild cutaneous allergy, joint swelling, and mild gastrointestinal symptoms. Amlodipine may be associated with a higher risk of oedema (risk ratio (RR) 5.54, 95% CI 1.24 to 24.76; 4 trials, 167 participants; very low-certainty evidence). We found no difference between the groups in the occurrence of other adverse events, but the evidence was very uncertain. No trials reported mortality, cardiac function assessments other than echocardiographic estimation of LVEF, electrocardiographic abnormalities, quality of life, compliance with treatment, or cost of interventions. AUTHORS' CONCLUSIONS The available evidence suggests that calcium channel blockers may reduce MIC and may increase liver T2* values in people with transfusion-dependent beta thalassaemia. Longer-term multicentre RCTs are needed to assess the efficacy and safety of calcium channel blockers for myocardial iron overload, especially in younger children. Future trials should also investigate the role of baseline MIC in the response to calcium channel blockers, and include a cost-effectiveness analysis.
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Affiliation(s)
- Zahra Ali Padhani
- Institute for Global Health and Development, Aga Khan University, Karachi, Pakistan
- Robinson Research Institute, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, Australia
- Adelaide Medical School, Faculty of Health and Medical Sciences, University of Adelaide, Karachi, Pakistan
| | | | - Alina Sadaf
- Department of Paediatric Oncology, Shaukat Khanum Memorial Cancer Hospital and Research Centre, Lahore, Pakistan
| | - Babar Hasan
- Division of Cardiothoracic Sciences, Sindh Institute of Urology and Transplantation, Karachi, Pakistan
| | - Steven Colan
- Department of Cardiology, Boston Children's Hospital, Boston, Massachusetts, USA
| | - Najveen Alvi
- Department of Pediatrics, Aga Khan University, Karachi, Pakistan
| | - Jai K Das
- Institute for Global Health and Development, Aga Khan University Hospital, Karachi, Pakistan
- Division of Women and Child Health, Aga Khan University, Karachi, Pakistan
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Lalatović N, Pantović S, Nedović-Vuković M, Kostić M. Risk Factors for Potential Drug-Drug Interactions in Outpatients with Dyslipidemia. IRANIAN JOURNAL OF PUBLIC HEALTH 2023; 52:1466-1475. [PMID: 37593497 PMCID: PMC10430412 DOI: 10.18502/ijph.v52i7.13248] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Accepted: 03/24/2023] [Indexed: 08/19/2023]
Abstract
Background Patients with dyslipidemia are usually multimorbid and require polypharmacy. Therefore, it is important to identify potential drug-drug interactions (pDDIs) in time to prevent their consequences. We aimed to identify and analyze risk factors contributing to their occurrence to guide health professionals. Methods A prospective cross-sectional study of 216 outpatients with dyslipidemia was conducted from May 2021 to April 2022 in Podgorica, the capital of Montenegro. pDDIs were identified using Medscape, Epocrates, and Drugs online interaction checkers. Multivariate regression analysis was performed to evaluate the potential predictors of interactions. Results pDDIs were detected in 212 (98.1%) participants, whereas pDDIs with high clinical significance were detected in 25.46%, 40.74%, and 58.8% of subjects by Drugs, Epocrates, and Medscape, respectively. Polypharmacy emerged as a risk factor for the occurrence of pDDIs in all three checkers in each category of clinical significance. The use of non-steroidal anti-inflammatory drugs and antiplatelet drugs contributes to the incidence of severe pDDIs B=1.014, 95%CI 0.681-1.346, P=0.000 and B=0.492, 95%CI 0.286-0.698, P=0.000, by Epocrates and Medscape respectively. The number of prescribers per patient was a protective factor against moderate pDDI B= -0.858, 95%CI -1.572-(-0.144), P=0.019 and B= -0.956, 95%CI -1.671-(-0.241), P=0.009, by Medscape and Epocrates, respectively, but a risk factor for the occurrence of minor pDDIs B=0.373, 95%CI 0.033-0.712 P=0.032 and B=0.143, 95%CI 0.042-0.244, P=0.006, by the same checkers. Conclusion Knowledge of the risk factors contributing to the occurrence of pDDIs is important for the development and implementation of strategies for their prevention, and given the high prevalence of dyslipidemia, understanding these factors seems crucial nowadays.
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Affiliation(s)
| | - Snežana Pantović
- Faculty of Medicine, University of Montenegro, Podgorica, Montenegro
| | - Mirjana Nedović-Vuković
- Department of Health Statistics and Informatics, Center for Health System Development, Institute of Public Health, Podgorica, Montenegro
| | - Marina Kostić
- Department of Pharmacology and Toxicology, Faculty of Medical Sciences, University of Kragujevac, Kragujevac, Serbia
- Center for Harm Reduction of Biological and Chemical Hazards, Faculty of Medical Sciences University of Kragujevac, Kragujevac, Serbia
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Al-Ashwal FY, Sulaiman SAS, Sheikh Ghadzi SM, Kubas MA, Halboup A. Prevalence and predictors of clinically significant statin-drug interactions among Yemeni patients taking statins for primary and secondary prevention of cardiovascular disease. Curr Med Res Opin 2022; 38:889-899. [PMID: 35481428 DOI: 10.1080/03007995.2022.2072088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
BACKGROUND Statins are extensively used in clinical practice for the primary and secondary prevention of cardiovascular diseases. Statins are usually taken in combination with other medications. This may increase the risk of statin-drug interactions. The study aimed to evaluate the prevalence, patterns, and predictors of clinically significant statin-drug interactions among patients on statin therapy. MATERIAL AND METHODS A cross-sectional study was conducted at the cardiology, endocrine, and internal medicine outpatient clinics in four tertiary care hospitals in Sana'a, Yemen. Lexicomp Drug Interaction database was used to analyze the prescriptions for potential statin-drug interactions. Binary and multivariable logistic regression were utilized for analysis. RESULTS Of the total number of patients (634), 114 individuals (18%) had a total of 122 statin-drug interactions. According to Lexicomp risk classification, 102 (83.6%) DDIs were class C (monitor therapy), 19 (15.6%) were class D (therapy modification), and only one (0.8%) class X (avoid combination). Simvastatin use was significantly associated with the presence of category D and X DDIs (15.9% vs. 1.6%, p < .001). Polypharmacy (OR = 2.571, p < .001) and having ≥3 comorbidities (OR = 2.512, p < .001) were the only variables associated with the presence of statin-drug interactions (C, D, and/or X). CONCLUSION Patients with polypharmacy and those with three or more comorbidities had a higher risk for statin-drug interactions. Therefore, routine screening by physicians and pharmacists for potential interactions should occur before prescribing or dispensing any medication to avoid clinically significant statin-drug interactions.
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Affiliation(s)
- Fahmi Y Al-Ashwal
- Discipline of Clinical Pharmacy, School of Pharmaceutical Sciences, Universiti Sains Malaysia, Penang, Malaysia
- Clinical Pharmacy Department, University of Science and Technology Hospital (USTH), Sana'a, Yemen
| | - Syed Azhar Syed Sulaiman
- Discipline of Clinical Pharmacy, School of Pharmaceutical Sciences, Universiti Sains Malaysia, Penang, Malaysia
| | | | - Mohammed Abdullah Kubas
- Clinical Pharmacy Department, University of Science and Technology Hospital (USTH), Sana'a, Yemen
| | - Abdulsalam Halboup
- Department of Clinical Pharmacy and Pharmacy Practice, Faculty of Pharmacy, University of Science and Technology, Sana'a, Yemen
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Bannay A, Bories M, Le Corre P, Riou C, Lemordant P, Van Hille P, Chazard E, Dode X, Cuggia M, Bouzillé G. Leveraging National Claims and Hospital Big Data: Cohort Study on a Statin-Drug Interaction Use Case. JMIR Med Inform 2021; 9:e29286. [PMID: 34898457 PMCID: PMC8713098 DOI: 10.2196/29286] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Revised: 07/12/2021] [Accepted: 07/25/2021] [Indexed: 12/13/2022] Open
Abstract
Background Linking different sources of medical data is a promising approach to analyze care trajectories. The aim of the INSHARE (Integrating and Sharing Health Big Data for Research) project was to provide the blueprint for a technological platform that facilitates integration, sharing, and reuse of data from 2 sources: the clinical data warehouse (CDW) of the Rennes academic hospital, called eHOP (entrepôt Hôpital), and a data set extracted from the French national claim data warehouse (Système National des Données de Santé [SNDS]). Objective This study aims to demonstrate how the INSHARE platform can support big data analytic tasks in the health field using a pharmacovigilance use case based on statin consumption and statin-drug interactions. Methods A Spark distributed cluster-computing framework was used for the record linkage procedure and all analyses. A semideterministic record linkage method based on the common variables between the chosen data sources was developed to identify all patients discharged after at least one hospital stay at the Rennes academic hospital between 2015 and 2017. The use-case study focused on a cohort of patients treated with statins prescribed by their general practitioner or during their hospital stay. Results The whole process (record linkage procedure and use-case analyses) required 88 minutes. Of the 161,532 and 164,316 patients from the SNDS and eHOP CDW data sets, respectively, 159,495 patients were successfully linked (98.74% and 97.07% of patients from SNDS and eHOP CDW, respectively). Of the 16,806 patients with at least one statin delivery, 8293 patients started the consumption before and continued during the hospital stay, 6382 patients stopped statin consumption at hospital admission, and 2131 patients initiated statins in hospital. Statin-drug interactions occurred more frequently during hospitalization than in the community (3800/10,424, 36.45% and 3253/14,675, 22.17%, respectively; P<.001). Only 121 patients had the most severe level of statin-drug interaction. Hospital stay burden (length of stay and in-hospital mortality) was more severe in patients with statin-drug interactions during hospitalization. Conclusions This study demonstrates the added value of combining and reusing clinical and claim data to provide large-scale measures of drug-drug interaction prevalence and care pathways outside hospitals. It builds a path to move the current health care system toward a Learning Health System using knowledge generated from research on real-world health data.
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Affiliation(s)
- Aurélie Bannay
- Université de Lorraine, Centre Hospitalier Régional Universitaire de Nancy, Centre national de la recherche scientifique, Inria, Laboratoire lorrain de recherche en informatique et ses applications, Nancy, France.,Inserm, Laboratoire Traitement du Signal et de l'Image - UMR 1099, Centre Hospitalier Universitaire de Rennes, Université de Rennes 1, Rennes, France
| | - Mathilde Bories
- Inserm, Laboratoire Traitement du Signal et de l'Image - UMR 1099, Centre Hospitalier Universitaire de Rennes, Université de Rennes 1, Rennes, France.,Pôle Pharmacie, Service Hospitalo-Universitaire de Pharmacie, Centre Hospitalier Universitaire de Rennes, Rennes, France.,Laboratoire de Biopharmacie et Pharmacie Clinique, Faculté de Pharmacie, Université de Rennes 1, Rennes, France
| | - Pascal Le Corre
- Pôle Pharmacie, Service Hospitalo-Universitaire de Pharmacie, Centre Hospitalier Universitaire de Rennes, Rennes, France.,Laboratoire de Biopharmacie et Pharmacie Clinique, Faculté de Pharmacie, Université de Rennes 1, Rennes, France.,Centre Hospitalier Universitaire de Rennes, Inserm, Ecole des hautes études en santé publique, Institut de recherche en santé, environnement et travail, UMR_S 1085, Université de Rennes 1, Rennes, France
| | - Christine Riou
- Inserm, Laboratoire Traitement du Signal et de l'Image - UMR 1099, Centre Hospitalier Universitaire de Rennes, Université de Rennes 1, Rennes, France
| | - Pierre Lemordant
- Inserm, Laboratoire Traitement du Signal et de l'Image - UMR 1099, Centre Hospitalier Universitaire de Rennes, Université de Rennes 1, Rennes, France
| | - Pascal Van Hille
- Inserm, Laboratoire Traitement du Signal et de l'Image - UMR 1099, Centre Hospitalier Universitaire de Rennes, Université de Rennes 1, Rennes, France
| | - Emmanuel Chazard
- Centre d'Etudes et de Recherche en Informatique Médicale EA2694, Centre Hospitalier Universitaire de Lille, Université de Lille, Lille, France
| | - Xavier Dode
- Centre National Hospitalier d'Information sur le Médicament, Paris, France.,Department of Pharmacy, Hospices Civils de Lyon, University Hospital, Lyon, France
| | - Marc Cuggia
- Inserm, Laboratoire Traitement du Signal et de l'Image - UMR 1099, Centre Hospitalier Universitaire de Rennes, Université de Rennes 1, Rennes, France
| | - Guillaume Bouzillé
- Inserm, Laboratoire Traitement du Signal et de l'Image - UMR 1099, Centre Hospitalier Universitaire de Rennes, Université de Rennes 1, Rennes, France
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Zhelyazkova-Savova MD, Yotov YT, Nikolova MN, Nazifova-Tasinova NF, Vankova DG, Atanasov AA, Galunska BT. Statins, vascular calcification, and vitamin K-dependent proteins: Is there a relation? Kaohsiung J Med Sci 2021; 37:624-631. [PMID: 33634559 DOI: 10.1002/kjm2.12373] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2020] [Revised: 12/30/2020] [Accepted: 01/24/2021] [Indexed: 12/16/2022] Open
Abstract
The present cross-sectional clinical study aimed to examine the connection between statin exposure, coronary artery calcification (CAC), and vitamin K-dependent proteins (VKDPs) in patients with cardiovascular (CV) conditions. Two groups of patients were studied: patients with established CV disease (CVD) and healthy patients at moderate risk for CVD (a control group). The groups were also split into statin users and non-users. The following VKDPs were measured in plasma: uncarboxylated Matrix Gla-protein (ucMGP), undercarboxylated (ucOC), and carboxylated osteocalcin (cOC), Gla-rich protein (GRP). CAC score (CACS) was determined by multislice computed tomography. Among all the participants in the study, CACS was more pronounced in statin users compared to non-users; the same was found also among the CVD patients and among the controls. While the levels of ucMGP and GRP did not differ between statin users and non-users, ucOC and ucOC/cOC were significantly elevated in statin users, indicating vitamin K deficiency. There was a positive correlation between the levels of ucOC and CACS in the entire population and in the group of statin users, but not in statin non-users. No association was found between ucMGP or GRP and CACS. Statins had also an impact on the international normalized ratio and interacted with vitamin K antagonists (VKAs). Our results are in agreement with the existing evidence about positive association between statins and vascular calcification. They enlighten to a certain extent the possible mechanisms through which statins may enhance calcium accumulation in arterial wall, namely, by inhibition of vitamin K dependent proteins and functions involved in vascular protection.
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Affiliation(s)
- Maria D Zhelyazkova-Savova
- Department of Pharmacology, Clinical Pharmacology and Therapy, Varna Medical University, Varna, Bulgaria
| | - Yoto T Yotov
- First Department of Internal Diseases, Faculty of Medicine, Medical University of Varna, Varna, Bulgaria
| | - Miglena N Nikolova
- Department of Biochemistry, Molecular medicine and Nutrigenomics, Faculty of Pharmacy, Medical University of Varna, Varna, Bulgaria
| | - Neshe F Nazifova-Tasinova
- Department of Biochemistry, Molecular medicine and Nutrigenomics, Faculty of Pharmacy, Medical University of Varna, Varna, Bulgaria
| | - Deyana G Vankova
- Department of Biochemistry, Molecular medicine and Nutrigenomics, Faculty of Pharmacy, Medical University of Varna, Varna, Bulgaria
| | - Atanas A Atanasov
- First Department of Internal Diseases, Faculty of Medicine, Medical University of Varna, Varna, Bulgaria
| | - Bistra Tz Galunska
- Department of Biochemistry, Molecular medicine and Nutrigenomics, Faculty of Pharmacy, Medical University of Varna, Varna, Bulgaria
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Potential Applications of Chitosan-Based Nanomaterials to Surpass the Gastrointestinal Physiological Obstacles and Enhance the Intestinal Drug Absorption. Pharmaceutics 2021; 13:pharmaceutics13060887. [PMID: 34203816 PMCID: PMC8232820 DOI: 10.3390/pharmaceutics13060887] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Revised: 06/06/2021] [Accepted: 06/11/2021] [Indexed: 12/29/2022] Open
Abstract
The small intestine provides the major site for the absorption of numerous orally administered drugs. However, before reaching to the systemic circulation to exert beneficial pharmacological activities, the oral drug delivery is hindered by poor absorption/metabolic instability of the drugs in gastrointestinal (GI) tract and the presence of the mucus layer overlying intestinal epithelium. Therefore, a polymeric drug delivery system has emerged as a robust approach to enhance oral drug bioavailability and intestinal drug absorption. Chitosan, a cationic polymer derived from chitin, and its derivatives have received remarkable attention to serve as a promising drug carrier, chiefly owing to their versatile, biocompatible, biodegradable, and non-toxic properties. Several types of chitosan-based drug delivery systems have been developed, including chemical modification, conjugates, capsules, and hybrids. They have been shown to be effective in improving intestinal assimilation of several types of drugs, e.g., antidiabetic, anticancer, antimicrobial, and anti-inflammatory drugs. In this review, the physiological challenges affecting intestinal drug absorption and the effects of chitosan on those parameters impacting on oral bioavailability are summarized. More appreciably, types of chitosan-based nanomaterials enhancing intestinal drug absorption and their mechanisms, as well as potential applications in diabetes, cancers, infections, and inflammation, are highlighted. The future perspective of chitosan applications is also discussed.
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Choudhary NS, Saraf N, Saigal S, Soin AS. Long-term Management of the Adult Liver Transplantation Recipients. J Clin Exp Hepatol 2021; 11:239-253. [PMID: 33746450 PMCID: PMC7953009 DOI: 10.1016/j.jceh.2020.06.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Accepted: 06/14/2020] [Indexed: 12/12/2022] Open
Abstract
The survival of liver transplantation (LT) recipients has been improved remarkably in short-term. The major causes of mortality in long-term include nonimmunological causes such as cardiovascular, de novo malignancy, chronic kidney disease, and recurrence of primary disease. Rejection-related mortality is rare in the long-term after LT. We discuss nonrejection causes of long-term morbidity/mortality, risk factors, and management strategies in LT recipients. In addition, we discuss osteoporosis, contraception, and pregnancy in LT recipients.
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Key Words
- AIH, autoimmune hepatitis
- BMI, body mass index
- CKD, chronic kidney disease
- CNI, calcineurin inhibitors
- CVD, cardiovascular disease
- DDLT, deceased donor liver transplantation
- DM, diabetes mellitus
- DNM, de novo malignancy
- HCV, hepatitis C virus
- HR, hazard ratio
- IUCD, Intrauterine contraceptive devices
- LDLT, living donor liver transplantation
- LT, liver transplantation
- MDRD, Modification of Diet in Renal Disease
- MMF, mycophenolate
- MS, metabolic syndrome
- NAFLD, nonalcoholic fatty liver disease
- NASH, nonalcoholic steatohepatitis
- OR, odds ratio
- PBC, primary biliary cholangitis
- PSC, primary sclerosing cholangitis
- PTDM, posttransplantation diabetes mellitus
- PTMS, posttransplantation metabolic syndrome
- SVR, sustained virological response
- cardiovascular disease
- de novo malignancy
- eGFR, estimated glomerular filtration rate
- mTORi, Mammalian target of rapamycin inhibitors
- osteoporosis
- pregnancy
- recurrence
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Affiliation(s)
- Narendra S. Choudhary
- Institute of Liver Transplantation and Regenerative Medicine, Medanta The Medicity, Gurgaon, Delhi (NCR), India
| | - Neeraj Saraf
- Institute of Liver Transplantation and Regenerative Medicine, Medanta The Medicity, Gurgaon, Delhi (NCR), India
| | - Sanjiv Saigal
- Institute of Liver Transplantation and Regenerative Medicine, Medanta The Medicity, Gurgaon, Delhi (NCR), India
| | - Arvinder S. Soin
- Institute of Liver Transplantation and Regenerative Medicine, Medanta The Medicity, Gurgaon, Delhi (NCR), India
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Ho B, Lin Y, Lin S, Chou P, Chen C, Lin R, Hu H, Chao A. Statins and the risk of bleeding in patients taking dabigatran. Acta Neurol Scand 2019; 139:455-461. [PMID: 30742307 DOI: 10.1111/ane.13077] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2018] [Revised: 01/08/2019] [Accepted: 02/04/2019] [Indexed: 12/16/2022]
Abstract
OBJECTIVES Dabigatran etexilate is a direct thrombin inhibitor that clinicians increasingly prescribe to prevent stroke in patients with non-valvular atrial fibrillation (NVAF). Clinicians also commonly prescribe statins for primary and secondary prevention of cardiovascular diseases. Little is known about the bleeding risk in patients taking a statin and dabigatran together. The aim of this study was to evaluate the safety and persistence of dabigatran after co-medication with statins. MATERIALS AND METHODS We performed a prospective, multicenter registry study of stroke patients with NVAF who initiated dabigatran therapy within 3 months after a clinically evident ischemic cerebrovascular event between 2013 and 2017. The main outcome measure was symptomatic bleeding after 90, 180, and 360 days. RESULTS In total, 652 patients (336 statin users, 316 non-users) were followed for 1 year after dabigatran therapy. Cox multivariate analysis demonstrated that male sex, prior use of aspirin, and concurrent use of an antiarrhythmic drug were associated with a higher risk of bleeding at 360 days. After adjusting time-dependent covariates, statin users had a significantly lower bleeding risk (adjusted hazard ratio: 0.11, P < 0.001) than non-users. Kaplan-Meier analysis indicated that patients prescribed with statins had a higher rate of bleeding-free survival (P = 0.028). CONCLUSION For secondary prevention of stroke in patients with NVAF who are taking dabigatran etexilate, co-prescription with a statin was associated with a lower risk of bleeding complications. Future research is needed to determine the pharmacological mechanism underlying this effect.
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Affiliation(s)
- Bo‐Lin Ho
- Department of Neurology Kaohsiung Medical University Hospital Kaohsiung Taiwan
- Department of Neurology Kaohsiung Municipal Gangshan Hospital Kaohsiung Taiwan
| | - Ya‐Ju Lin
- Department of Neurology MacKay Memorial Hospital Taipei Taiwan
| | - Sheng‐Feng Lin
- School of Public Health, College of Public Health Taipei Medical University Taipei Taiwan
| | - Ping‐Song Chou
- Department of Neurology Kaohsiung Medical University Hospital Kaohsiung Taiwan
- Department of Neurology, College of Medicine Kaohsiung Medical University Kaohsiung Taiwan
| | - Chien‐Fu Chen
- Department of Neurology Kaohsiung Medical University Hospital Kaohsiung Taiwan
| | - Ruey‐Tay Lin
- Department of Neurology Kaohsiung Medical University Hospital Kaohsiung Taiwan
- Department of Neurology, College of Medicine Kaohsiung Medical University Kaohsiung Taiwan
| | - Han‐Hwa Hu
- Department of Neurology Taipei Medical University‐Shaung Ho Hospital Taipei Taiwan
- Graduate Institute of Clinical Medicine and Cerebrovascular Treatment and Research Center, College of Medicine Taipei Medical University Taipei Taiwan
| | - A‐Ching Chao
- Department of Neurology Kaohsiung Medical University Hospital Kaohsiung Taiwan
- Department of Neurology, College of Medicine Kaohsiung Medical University Kaohsiung Taiwan
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Abstract
Pharmacogenetics is an emerging area of medicine, and more work is needed to fully integrate it into a clinical setting for the benefit of patients. Genetic markers can influence the action of many drugs, including those that prevent and treat cardiovascular conditions. Genotyping is not yet commonplace, but guidelines are being put in place to help practitioners determine the effect a genetic marker may have on certain drugs. With advancements in genetic technology and falling costs, genotyping could be available to all patients via a simple saliva test. This would be a cost-effective way for practitioners to determine the most effective treatment for individuals, reducing "trial and error," adverse effects, and rehospitalization rates and increasing patient compliance. Cardiovascular diseases are the leading causes of death worldwide, so using the most effective medication to treat or prevent them is of utmost importance in reducing incidence and mortality.
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Sadaf A, Hasan B, Das JK, Colan S, Alvi N. Calcium channel blockers for preventing cardiomyopathy due to iron overload in people with transfusion-dependent beta thalassaemia. Cochrane Database Syst Rev 2018; 7:CD011626. [PMID: 29998494 PMCID: PMC6513605 DOI: 10.1002/14651858.cd011626.pub2] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
BACKGROUND Beta thalassaemia is a common inherited blood disorder. The need for frequent blood transfusions in this condition poses a difficult problem to healthcare systems. The most common cause of morbidity and mortality is cardiac dysfunction from iron overload. The use of iron chelation therapy has reduced the severity of systemic iron overload but specific, non-toxic treatment is required for removal of iron from the myocardium. OBJECTIVES To assess the effects of calcium channel blockers combined with standard iron chelation therapy in people with transfusion-dependent beta thalassaemia on the amount of iron deposited in the myocardium, on parameters of heart function, and on the incidence of severe heart failure or arrhythmias and related morbidity and mortality. SEARCH METHODS We searched the Cochrane Haemoglobinopathies Trials Register, compiled from electronic database searches and handsearching of journals and conference abstract books. We also searched ongoing trials databases, and the reference lists of relevant articles and reviews.Date of last search: 24 February 2018. SELECTION CRITERIA We included randomised controlled trials of calcium channel blockers combined with standard chelation therapy compared with standard chelation therapy alone or combined with placebo in people with transfusion-dependent beta thalassaemia. DATA COLLECTION AND ANALYSIS Two authors independently applied the inclusion criteria for the selection of trials. Two authors assessed the risk of bias of trials and extracted data and a third author verified these assessments. The authors used the GRADE system to assess the quality of the evidence. MAIN RESULTS Two randomised controlled trials (n = 74) were included in the review; there were 35 participants in the amlodipine arms and 39 in the control arms. The mean age of participants was 24.4 years with a standard deviation of 8.5 years. There was comparable participation from both genders. Overall, the risk of bias in included trials was low. The quality of the evidence ranged across outcomes from low to high, but the evidence for most outcomes was judged to be low quality.Cardiac iron assessment, as measured by heart T2*, did not significantly improve in the amlodipine groups compared to the control groups at six or 12 months (low-quality evidence). However, myocardial iron concentration decreased significantly in the amlodipine groups compared to the control groups at both six months, mean difference -0.23 mg/g (95% confidence interval -0.07 to -0.39), and 12 months, mean difference -0.25 mg/g (95% confidence interval -0.44 to -0.05) (low-quality evidence). There were no significant differences between treatment and control groups in serum ferritin (low-quality evidence), liver T2* (low-quality evidence), liver iron content (low-quality evidence) and left ventricular ejection fraction (low-quality evidence). There were no serious adverse events reported in either trial; however, one trial (n = 59) reported mild adverse events, with no statistically significant difference between groups (low-quality evidence). AUTHORS' CONCLUSIONS The available evidence does not clearly suggest that the use of calcium channel blockers is associated with a reduction in myocardial iron in people with transfusion-dependent beta thalassaemia, although a potential for this was seen. There is a need for more long-term, multicentre trials to assess the efficacy and safety of calcium channel blockers for myocardial iron overload, especially in younger children. Future trials should be designed to compare commonly used iron chelation drugs with the addition of calcium channel blockers to investigate the potential interplay of these treatments. In addition, the role of baseline myocardial iron content in affecting the response to calcium channel blockers should be investigated. An analysis of the cost-effectiveness of the treatment is also required.
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Affiliation(s)
- Alina Sadaf
- University of Florida, Sacred Heart Children's Hospital6th Floor Nemours5153 North 9th AvenuePensacolaFloridaUSA32504
| | - Babar Hasan
- Aga Khan University HospitalDepartment of Paediatrics and Child HealthStadium RoadPO Box 3500KarachiSindhPakistan74800
| | - Jai K Das
- Aga Khan University HospitalDivision of Women and Child HealthStadium RoadPO Box 3500KarachiSindPakistan
| | - Steven Colan
- Boston Children's HospitalDepartment of Cardiology300 Longwood AvenueBader, 2nd FloorBostonMassachusettsUSAMA 02115
| | - Najveen Alvi
- Aga Khan UniversityDepartment of PediatricsStadium RoadKarachiPakistan74800
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11
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Leonard CE, Brensinger CM, Bilker WB, Kimmel SE, Whitaker HJ, Hennessy S. Thromboembolic and neurologic sequelae of discontinuation of an antihyperlipidemic drug during ongoing warfarin therapy. Sci Rep 2017; 7:18037. [PMID: 29269848 PMCID: PMC5740131 DOI: 10.1038/s41598-017-18318-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2017] [Accepted: 12/08/2017] [Indexed: 11/08/2022] Open
Abstract
Warfarin and antihyperlipidemics are commonly co-prescribed. Some antihyperlipidemics may inhibit warfarin deactivation via the hepatic cytochrome P450 system. Therefore, antihyperlipidemic discontinuation has been hypothesized to result in underanticoagulation, as warfarin metabolism is no longer inhibited. We quantified the risk of venous thromboembolism (VTE) and ischemic stroke (IS) due to statin and fibrate discontinuation in warfarin users, in which warfarin was initially dose-titrated during ongoing antihyperlipidemic therapy. Using 1999-2011 United States Medicaid claims among 69 million beneficiaries, we conducted a set of bidirectional self-controlled case series studies-one for each antihyperlipidemic. Outcomes were hospital admissions for VTE/IS. The risk segment was a maximum of 90 days immediately following antihyperlipidemic discontinuation, the exposure of interest. Time-varying confounders were included in conditional Poisson models. We identified 629 study eligible-persons with at least one outcome. Adjusted incidence rate ratios (IRRs) for all antihyperlipidemics studied were consistent with the null, and ranged from 0.21 (0.02, 2.82) for rosuvastatin to 2.16 (0.06, 75.0) for gemfibrozil. Despite using an underlying dataset of millions of persons, we had little precision in estimating IRRs for VTE/IS among warfarin-treated persons discontinuing individual antihyperlipidemics. Further research should investigate whether discontinuation of gemfibrozil in warfarin users results in serious underanticoagulation.
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Affiliation(s)
- Charles E Leonard
- Center for Clinical Epidemiology and Biostatistics, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA.
- Center for Pharmacoepidemiology Research and Training, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA.
- Center for Therapeutic Effectiveness Research, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA.
| | - Colleen M Brensinger
- Center for Clinical Epidemiology and Biostatistics, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Center for Pharmacoepidemiology Research and Training, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Warren B Bilker
- Center for Clinical Epidemiology and Biostatistics, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Center for Pharmacoepidemiology Research and Training, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Department of Psychiatry, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Stephen E Kimmel
- Center for Clinical Epidemiology and Biostatistics, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Center for Pharmacoepidemiology Research and Training, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Center for Therapeutic Effectiveness Research, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Division of Cardiovascular Medicine, Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Heather J Whitaker
- School of Mathematics and Statistics, The Open University, Milton Keynes, England
| | - Sean Hennessy
- Center for Clinical Epidemiology and Biostatistics, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Center for Pharmacoepidemiology Research and Training, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Center for Therapeutic Effectiveness Research, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
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12
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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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13
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Leonard CE, Brensinger CM, Bilker WB, Kimmel SE, Han X, Nam YH, Gagne JJ, Mangaali MJ, Hennessy S. Gastrointestinal bleeding and intracranial hemorrhage in concomitant users of warfarin and antihyperlipidemics. Int J Cardiol 2016; 228:761-770. [PMID: 27888753 DOI: 10.1016/j.ijcard.2016.11.245] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2016] [Revised: 11/08/2016] [Accepted: 11/10/2016] [Indexed: 01/29/2023]
Abstract
BACKGROUND Drug interactions, particularly those involving warfarin, are a major clinical and public health problem. Minimizing serious bleeding caused by anticoagulants is a recent major focus of the United States (US) Department of Health and Human Services. This study quantified the risk of gastrointestinal bleeding (GIB) and intracranial hemorrhage (ICH) among concomitant users of warfarin and individual antihyperlipidemics. METHODS The authors conducted a high-dimensional propensity score-adjusted cohort study of new concomitant users of warfarin and an antihyperlipidemic, among US Medicaid beneficiaries from five states during 1999-2011. Exposure was defined by concomitant use of warfarin plus one of eight antihyperlipidemics. The primary outcome measure was a composite of GIB/ICH within the first 30days of concomitant use. As a secondary outcome measure, GIB/ICH was examined within the first 180days of concomitant use. RESULTS Among 236,691 persons newly-exposed to warfarin and an antihyperlipidemic, the crude incidence of GIB/ICH was 13.2 (95% confidence interval 12.7 to 13.8) per 100person-years. Users were predominantly older, female, and Caucasian. Adjusted hazard ratios (aHRs) for warfarin and individual statins were consistent with no association. Warfarin+gemfibrozil was associated with an 80% increased risk of GIB/ICH within the first month of concomitant use (aHR=1.8, 1.4 to 2.4). Warfarin+fenofibrate was associated with a similar increased risk (aHR=1.8, 1.2 to 2.7), yet with an onset during the second month of concomitant use. CONCLUSIONS Among warfarin-treated persons, the use of fibrates-but not statins-increases the risk of hospital presentation for GIB/ICH.
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Affiliation(s)
- Charles E Leonard
- Center for Clinical Epidemiology and Biostatistics, Department of Biostatistics and Epidemiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA; Center for Pharmacoepidemiology Research and Training, Department of Biostatistics and Epidemiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
| | - Colleen M Brensinger
- Center for Clinical Epidemiology and Biostatistics, Department of Biostatistics and Epidemiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
| | - Warren B Bilker
- Center for Clinical Epidemiology and Biostatistics, Department of Biostatistics and Epidemiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA; Center for Pharmacoepidemiology Research and Training, Department of Biostatistics and Epidemiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA; Department of Psychiatry, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
| | - Stephen E Kimmel
- Center for Clinical Epidemiology and Biostatistics, Department of Biostatistics and Epidemiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA; Center for Pharmacoepidemiology Research and Training, Department of Biostatistics and Epidemiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA; Department of Medicine, Division of Cardiovascular Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
| | - Xu Han
- Center for Clinical Epidemiology and Biostatistics, Department of Biostatistics and Epidemiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA; Center for Pharmacoepidemiology Research and Training, Department of Biostatistics and Epidemiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
| | - Young Hee Nam
- Center for Clinical Epidemiology and Biostatistics, Department of Biostatistics and Epidemiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA; Center for Pharmacoepidemiology Research and Training, Department of Biostatistics and Epidemiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
| | - Joshua J Gagne
- Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
| | - Margaret J Mangaali
- Center for Clinical Epidemiology and Biostatistics, Department of Biostatistics and Epidemiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA; Center for Pharmacoepidemiology Research and Training, Department of Biostatistics and Epidemiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
| | - Sean Hennessy
- Center for Clinical Epidemiology and Biostatistics, Department of Biostatistics and Epidemiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA; Center for Pharmacoepidemiology Research and Training, Department of Biostatistics and Epidemiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA; Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
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Abstract
Simeprevir is an NS3/4A protease inhibitor approved for the treatment of hepatitis C infection, as a component of combination therapy. Simeprevir is metabolized by the cytochrome P450 (CYP) system, primarily CYP3A, and is a substrate for several drug transporters, including the organic anion transporting polypeptides (OATPs). It is susceptible to metabolic drug–drug interactions with drugs that are moderate or strong CYP3A inhibitors (e.g. ritonavir and erythromycin) or CYP3A inducers (e.g. rifampin and efavirenz); coadministration of these drugs may increase or decrease plasma concentrations of simeprevir, respectively, and should be avoided. Clinical studies have shown that simeprevir is a mild inhibitor of CYP1A2 and intestinal CYP3A but does not inhibit hepatic CYP3A. The effects of simeprevir on these enzymes are of clinical relevance only for narrow-therapeutic-index drugs that are metabolized solely by these enzymes (e.g. oral midazolam). Simeprevir does not have a clinically relevant effect on the pharmacokinetics of rilpivirine, tacrolimus, oral contraceptives and several other drugs metabolized by CYP enzymes. Simeprevir is a substrate and inhibitor of the transporters P-glycoprotein (P-gp), breast cancer resistance protein (BCRP) and OATP1B1/3. Cyclosporine is an inhibitor of OATP1B1/3, BCRP and P-gp, and a mild inhibitor of CYP3A; cyclosporine causes a significant increase in simeprevir plasma concentrations, and coadministration is not recommended. Clinical studies have demonstrated increases in coadministered drug concentrations for drugs that are substrates of the OATP1B1/3, BRCP (e.g. rosuvastatin) and P-gp (e.g. digoxin) transporters; these drugs should be administered with dose titration and or/close monitoring.
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Badiu R, Bucsa C, Mogosan C, Dumitrascu D. Statin drug-drug interactions in a Romanian community pharmacy. Med Pharm Rep 2016; 89:273-8. [PMID: 27152080 PMCID: PMC4849387 DOI: 10.15386/cjmed-569] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2015] [Accepted: 09/22/2015] [Indexed: 11/23/2022] Open
Abstract
Background and aim Statins are frequently prescribed for patients with dyslipidemia and have a well-established safety profile. However, when associated with interacting dugs, the risk of adverse effects, especially muscular toxicity, is increased. The objective of this study was to identify, characterize and quantify the prevalence of the potential drug-drug interactions (pDDIs) of statins in reimbursed prescriptions from a community pharmacy in Bucharest. Methods We analyzed the reimbursed prescriptions including statins collected during one month in a community pharmacy. The online program Medscape Drug Interaction Checker was used for checking the drug interactions and their classification based on severity: Serious – Use alternative, Significant – Monitor closely and Minor. Results 132 prescriptions pertaining to 125 patients were included in the analysis. Our study showed that 25% of the patients who were prescribed statins were exposed to pDDIs: 37 Serious and Significant interactions in 31 of the statins prescriptions. The statins involved were atorvastatin, simvastatin and rosuvastatin. Conclusions Statin pDDIs have a high prevalence and patients should be monitored closely in order to prevent the development of adverse effects that result from statin interactions.
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Affiliation(s)
- Raluca Badiu
- Drug Information Research Center Department, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania
| | - Camelia Bucsa
- Drug Information Research Center Department, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania
| | - Cristina Mogosan
- Drug Information Research Center Department, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania
| | - Dan Dumitrascu
- 2 Department of Internal Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania
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Sadaf A, Nisar MI, Hasan B, Das JK, Colan S. Calcium channel blockers for preventing cardiomyopathy due to iron overload in people with transfusion-dependent beta thalassaemia. THE COCHRANE DATABASE OF SYSTEMATIC REVIEWS 2015. [DOI: 10.1002/14651858.cd011626] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Affiliation(s)
- Alina Sadaf
- Aga Khan University Hospital; Division of Women and Child Health; Stadium Road, P.O. Box 3500 Karachi Sindh Pakistan 74800
| | - Muhammad I Nisar
- Aga Khan University Hospital; Division of Women and Child Health; Stadium Road, P.O. Box 3500 Karachi Sindh Pakistan 74800
| | - Babar Hasan
- Aga Khan University; Department of Paediatrics and Child Health; Stadium Road, P.O. Box 3500 Karachi Sindh Pakistan 74800
| | - Jai K Das
- Aga Khan University Hospital; Division of Women and Child Health; Stadium Road, P.O. Box 3500 Karachi Sindh Pakistan 74800
| | - Steven Colan
- Boston Children's Hospital; Department of Cardiology; 300 Longwood Avenue Bader, 2nd Floor Boston Massachusetts USA MA 02115
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