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Andrade HHS, Santos IC, Batista RL, Silva-Vergara ML. Congestive heart failure associated with itraconazole in a patient with paracoccidioidomycosis. Braz J Infect Dis 2024; 28:103868. [PMID: 39276794 DOI: 10.1016/j.bjid.2024.103868] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2024] [Revised: 06/20/2024] [Accepted: 08/11/2024] [Indexed: 09/17/2024] Open
Abstract
Itraconazole (ITZ) is widely prescribed for the treatment of mycosis such as Paracoccidioidomycosis (PCM). However, it's related to toxicity and serious adverse events, such as Congestive Heart Failure (CHF). The objective is to describe a patient with PCM and CHF secondary to ITZ. Male, 50-years old, was diagnosed with chronic adult PCM and started ITZ 200 mg 12/12 h. After 2-months, acute CHF began without previous-heart disease. The electrocardiogram showed changes in ventricular repolarization and left anterior superior divisional block. Echocardiogram: slight reduction in left ventricular systolic function and ejection fraction of 51%. ITZ was replaced by trimethoprim-sulfamethoxazole. After a week, there was remission of symptoms. Despite thousands of patients around the world received ITZ, few cases of CHF were reported. It's dose dependent and improves when the drug is discontinuing. ITZ has negative inotropic effect and probably causes mitochondrial dysfunction. However, the intrinsic mechanisms are not yet completely understood.
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Affiliation(s)
- Hugo Haran Souza Andrade
- Universidade Federal do Triângulo Mineiro, Departamento de Medicina Interna, Unidade de Doenças Infecciosas, Uberaba, MG, Brazil.
| | - Isabel Cunha Santos
- Universidade Federal do Triângulo Mineiro, Departamento de Medicina Interna, Unidade de Doenças Infecciosas, Uberaba, MG, Brazil
| | - Roger Lopes Batista
- Universidade Federal do Triângulo Mineiro, Departamento de Medicina Interna, Unidade de Doenças Infecciosas, Uberaba, MG, Brazil
| | - Mario León Silva-Vergara
- Universidade Federal do Triângulo Mineiro, Departamento de Medicina Interna, Unidade de Doenças Infecciosas, Uberaba, MG, Brazil
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Ishtiak-Ahmed K, Musliner KL, Christensen KS, Mortensen EL, Nierenberg AA, Gasse C. Real-World Evidence on Clinical Outcomes of Commonly Used Antidepressants in Older Adults Initiating Antidepressants for Depression: A Nationwide Cohort Study in Denmark. Am J Psychiatry 2024; 181:47-56. [PMID: 37849303 DOI: 10.1176/appi.ajp.20230356] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/19/2023]
Abstract
OBJECTIVE The authors investigated the clinical outcomes of commonly used antidepressants among older adults who initiated first-time antidepressants for depression by analyzing the 1-year risk of selected clinically relevant outcomes. METHODS This cohort study used nationwide Danish registry data and included all older adults who redeemed a first-time (since 1995) antidepressant prescription with an indication of depression between 2006 and 2017. Only the 10 most frequently redeemed antidepressants were included in the analyses. Outcomes included discontinuation, switching, augmentation, psychiatric hospital contacts, suicide attempt or self-harm, fall-related injuries, cardiovascular events, and all-cause mortality. Incidence rate ratios (IRRs) and 95% confidence intervals were estimated using Poisson regression models, controlling for potential confounders. RESULTS The study sample included 93,883 older adults (mean age, 78.0 years, SD=7.5 years; 56% female). The most frequently prescribed antidepressants were selective serotonin reuptake inhibitors (citalopram, 47.04%; escitalopram, 11.81%; fluoxetine, 0.55%; paroxetine, 0.52%; sertraline, 11.17%), serotonin-norepinephrine reuptake inhibitors (duloxetine, 0.71%; venlafaxine, 1.54%), a tricyclic antidepressant (amitriptyline, 1.86%), and two atypical antidepressants (mianserin, 1.93%; mirtazapine, 22.87%). Compared with users of sertraline (the reference drug in this analysis, as Danish guidelines recommend it as the first-choice treatment for depression), users of most of the other nine antidepressants had a significantly higher risk of discontinuation (e.g., mirtazapine: IRR=1.55, 95% CI=1.50-1.61; venlafaxine: IRR=1.22, 95% CI=1.12-1.32), switching (amitriptyline: IRR=1.45, 95% CI=1.15-1.81; venlafaxine: IRR=1.47, 95% CI=1.20-1.80), augmentation, cardiovascular events, and mortality. Overall, mirtazapine and venlafaxine users had the most adverse outcomes compared with sertraline users. These results remained consistent in analyses stratified by sex and age (≤75 years vs. >75 years). CONCLUSIONS This real-world evidence suggests that clinical outcomes may vary among initiators of commonly used antidepressants in older adults, which may inform benefit-risk evaluation at treatment initiation, and highlights the importance of careful selection of antidepressant treatment.
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Affiliation(s)
- Kazi Ishtiak-Ahmed
- Department of Affective Disorders (Ishtiak-Ahmed, Musliner, Nierenberg, Gasse) and Psychosis Research Unit (Gasse), Aarhus University Hospital Psychiatry, Aarhus, Denmark; Department of Clinical Medicine (Ishtiak-Ahmed, Musliner, Gasse), Department of Public Health (Christensen), and Research Unit for General Practice (Christensen), Aarhus University, Aarhus, Denmark; Department of Public Health, University of Copenhagen, Copenhagen (Mortensen); Dauten Family Center for Bipolar Treatment Innovation, Massachusetts General Hospital, Boston, and Harvard Medical School, Boston (Nierenberg)
| | - Katherine L Musliner
- Department of Affective Disorders (Ishtiak-Ahmed, Musliner, Nierenberg, Gasse) and Psychosis Research Unit (Gasse), Aarhus University Hospital Psychiatry, Aarhus, Denmark; Department of Clinical Medicine (Ishtiak-Ahmed, Musliner, Gasse), Department of Public Health (Christensen), and Research Unit for General Practice (Christensen), Aarhus University, Aarhus, Denmark; Department of Public Health, University of Copenhagen, Copenhagen (Mortensen); Dauten Family Center for Bipolar Treatment Innovation, Massachusetts General Hospital, Boston, and Harvard Medical School, Boston (Nierenberg)
| | - Kaj Sparle Christensen
- Department of Affective Disorders (Ishtiak-Ahmed, Musliner, Nierenberg, Gasse) and Psychosis Research Unit (Gasse), Aarhus University Hospital Psychiatry, Aarhus, Denmark; Department of Clinical Medicine (Ishtiak-Ahmed, Musliner, Gasse), Department of Public Health (Christensen), and Research Unit for General Practice (Christensen), Aarhus University, Aarhus, Denmark; Department of Public Health, University of Copenhagen, Copenhagen (Mortensen); Dauten Family Center for Bipolar Treatment Innovation, Massachusetts General Hospital, Boston, and Harvard Medical School, Boston (Nierenberg)
| | - Erik Lykke Mortensen
- Department of Affective Disorders (Ishtiak-Ahmed, Musliner, Nierenberg, Gasse) and Psychosis Research Unit (Gasse), Aarhus University Hospital Psychiatry, Aarhus, Denmark; Department of Clinical Medicine (Ishtiak-Ahmed, Musliner, Gasse), Department of Public Health (Christensen), and Research Unit for General Practice (Christensen), Aarhus University, Aarhus, Denmark; Department of Public Health, University of Copenhagen, Copenhagen (Mortensen); Dauten Family Center for Bipolar Treatment Innovation, Massachusetts General Hospital, Boston, and Harvard Medical School, Boston (Nierenberg)
| | - Andrew A Nierenberg
- Department of Affective Disorders (Ishtiak-Ahmed, Musliner, Nierenberg, Gasse) and Psychosis Research Unit (Gasse), Aarhus University Hospital Psychiatry, Aarhus, Denmark; Department of Clinical Medicine (Ishtiak-Ahmed, Musliner, Gasse), Department of Public Health (Christensen), and Research Unit for General Practice (Christensen), Aarhus University, Aarhus, Denmark; Department of Public Health, University of Copenhagen, Copenhagen (Mortensen); Dauten Family Center for Bipolar Treatment Innovation, Massachusetts General Hospital, Boston, and Harvard Medical School, Boston (Nierenberg)
| | - Christiane Gasse
- Department of Affective Disorders (Ishtiak-Ahmed, Musliner, Nierenberg, Gasse) and Psychosis Research Unit (Gasse), Aarhus University Hospital Psychiatry, Aarhus, Denmark; Department of Clinical Medicine (Ishtiak-Ahmed, Musliner, Gasse), Department of Public Health (Christensen), and Research Unit for General Practice (Christensen), Aarhus University, Aarhus, Denmark; Department of Public Health, University of Copenhagen, Copenhagen (Mortensen); Dauten Family Center for Bipolar Treatment Innovation, Massachusetts General Hospital, Boston, and Harvard Medical School, Boston (Nierenberg)
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3
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Abstract
INTRODUCTION Patients with severe epilepsy are at increased risk of cardiovascular disease and arrhythmias. Although antiseizure medications (ASMs) may have indirect protective effects against cardiovascular events by reducing seizure frequency and hence sudden death in epilepsy, some of them exert cardiotoxic effects. AREAS COVERED Patients with epilepsy, mainly those with severe forms, are at higher risk of cardiac disease because their heart can have structural alterations and electrical instability as a consequence of repeated seizures. Some ASMs have direct protective effects through anti-inflammatory, antioxidant, hypotensive, and lipid-reducing properties. Antiseizure medications can also have toxic cardiac effects including both long-term consequences, such as the increased risk of atherogenesis and subsequent cardiovascular disease due to the influence on lipid profile and pro-inflammatory milieu, and immediate effects as the increased risk of potentially fatal arrhythmias due to the influence on ion channels. Sodium channel blocking ASMs may also affect cardiac sodium channels and this effect is particularly observed in subjects with genetic mutations in cardiac ion channels. Fenfluramine cause valvulopathies in obese subjects and this effect need to be evaluated in epilepsy patients. EXPERT OPINION For the selection of treatment, cardiotoxic effects of ASMs should be considered; cardiac monitoring of treatment is advisable.
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Affiliation(s)
- Gaetano Zaccara
- Department of Eidemiology, Regional Health Agency of Tuscany, Firenze, Italy
| | - Simona Lattanzi
- Neurological Clinic, Department of Experimental and Clinical Medicine, Marche Polytechnic University, Ancona, Italy
| | - Francesco Brigo
- Department of Neurology, Hospital of Merano (Sabes-asdaa), Merano-Meran, Italy
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Mantri N, Lu M, Zaroff JG, Risch N, Hoffmann T, Oni-Orisan A, Lee C, Iribarren C. Torsade de pointes: A nested case-control study in an integrated healthcare delivery system. Ann Noninvasive Electrocardiol 2021; 27:e12888. [PMID: 34547155 PMCID: PMC8739596 DOI: 10.1111/anec.12888] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Accepted: 08/21/2021] [Indexed: 11/28/2022] Open
Abstract
Background TdP is a form of polymorphic ventricular tachycardia which develops in the setting of a prolonged QT interval. There are limited data describing risk factors, treatment, and outcomes of this potentially fatal arrhythmia. Objective Our goals were as follows: (1) to validate cases presenting with Torsade de Pointes (TdP), (2) to identify modifiable risk factors, and (3) to describe the management strategies used for TdP and its prognosis in a real‐world healthcare setting. Methods Case–control study (with 2:1 matching on age, sex, and race/ethnicity) nested within the Genetic Epidemiology Research on Aging (GERA) cohort. Follow‐up of the cohort for case ascertainment was between January 01, 2005 and December 31, 2018. Results A total of 56 cases of TdP were confirmed (incidence rate = 3.6 per 100,000 persons/years). The average (SD) age of the TdP cases was 74 (13) years, 55 percent were female, and 16 percent were non‐white. The independent predictors of TdP were potassium concentration <3.6 mEq/L (OR = 10.6), prior history of atrial fibrillation/flutter (OR = 6.2), QTc >480 ms (OR = 4.4) and prior history of coronary artery disease (OR = 2.6). Exposure to furosemide and amiodarone was significantly greater in cases than in controls. The most common treatment for TdP was IV magnesium (78.6%) and IV potassium repletion (73.2%). The in‐hospital and 1‐year mortality rates for TdP cases were 10.7% and 25.0% percent, respectively. Conclusions These findings may inform quantitative multivariate risk indices for the prediction of TdP and could guide practitioners on which patients may qualify for continuous ECG monitoring and/or electrolyte replacement therapy.
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Affiliation(s)
- Neha Mantri
- Department of Cardiology, Kaiser Permanente San Francisco Medical Center, San Francisco, CA, USA
| | - Meng Lu
- Division of Research, Kaiser Permanente, Oakland, CA, USA
| | - Jonathan G Zaroff
- Department of Cardiology, Kaiser Permanente San Francisco Medical Center, San Francisco, CA, USA
| | - Neil Risch
- Institute for Human Genetics, University of California, San Francisco, San Francisco, CA, USA
| | - Thomas Hoffmann
- Institute for Human Genetics, University of California, San Francisco, San Francisco, CA, USA.,Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Akinyemi Oni-Orisan
- Institute for Human Genetics, University of California, San Francisco, San Francisco, CA, USA
| | - Catherine Lee
- Division of Research, Kaiser Permanente, Oakland, CA, USA
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Xiong GL, Pinkhasov A, Mangal JP, Huang H, Rado J, Gagliardi J, Demoss D, Karol D, Suo S, Lang M, Stern M, Spearman EV, Onate J, Annamalai A, Saliba Z, Heinrich T, Fiedorowicz JG. QTc monitoring in adults with medical and psychiatric comorbidities: Expert consensus from the Association of Medicine and Psychiatry. J Psychosom Res 2020; 135:110138. [PMID: 32442893 DOI: 10.1016/j.jpsychores.2020.110138] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/02/2019] [Revised: 04/30/2020] [Accepted: 05/07/2020] [Indexed: 01/08/2023]
Abstract
OBJECTIVE Several psychiatric medications have the potential to prolong the QTc interval and subsequently increase the risk for ventricular arrhythmias such as torsades de pointes (TdP). There is limited guidance for clinicians to balance the risks and benefits of treatments. METHODS After a review of the existing literature, clinical-educators from the Association of Medicine and Psychiatry developed expert consensus guidelines for ECG monitoring of the QTc interval for patients with medical and psychiatric comorbidities who are prescribed medications with the potential to prolong the QTc interval. A risk score was developed based on risk factors for QTc prolongation to guide clinical decision-making. RESULTS A baseline ECG may not be necessary for individuals at low risk for arrythmia. Those individuals with a risk score of two or more should have an ECG prior to the start of a potentially QTc-prolonging medication or be started on a lower risk agent. Antipsychotics are not equivalent in causing QTc prolongation. A consensus-based algorithm is presented for the management of those identified at high (QTc >500 msec), intermediate (males with QTc 450-499 msec or females with QTc > 470-499 msec), or low risk. CONCLUSIONS The proposed algorithm can help clinicians in determining whether ECG monitoring should be considered for a given patient. These guidelines preserve a role for clinical judgment in selection of treatments that balance the risks and benefits, which may be particularly relevant for complex patients with medical and psychiatric comorbidities. Additional studies are needed to determine whether baseline and serial ECG monitoring reduces mortality.
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Affiliation(s)
- Glen L Xiong
- Department of Psychiatry and Behavioral Sciences, University of California at Davis School of Medicine, Sacramento, CA, United States of America.
| | - Aaron Pinkhasov
- Department of Behavioral Health, NYU Winthrop Hospital, Mineola, NY, United States of America
| | - Jed P Mangal
- Department of Behavioral Health, Martin Army Community Hospital, Ft Benning, GA, United States of America
| | - Heather Huang
- Departments of Psychiatry and Internal Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States of America
| | - Jeffrey Rado
- Psychiatry and General Internal Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States of America
| | - Jane Gagliardi
- Departments of Psychiatry and Behavioral Sciences, and Internal Medicine, Duke University School of Medicine, Durham, NC, United States of America
| | - Dustin Demoss
- Department of Psychiatry, University of North Texas Health Science Center, United States of America
| | - David Karol
- Department of Psychiatry and Behavioral Neuroscience, Department of Internal Medicine, University of Cincinnati College of Medicine, Cincinnati, OH, United States of America
| | - Shannon Suo
- Department of Psychiatry and Behavioral Sciences, University of California at Davis School of Medicine, Sacramento, CA, United States of America
| | - Michael Lang
- Departments of Psychiatry and Internal Medicine, East Carolina University, Greenville, NC, United States of America
| | - Marsha Stern
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, United States of America
| | - E Vanessa Spearman
- Departments of Internal Medicine and Psychiatry, Medical College of Georgia at Augusta University Medical Center, Augusta, GA, United States of America
| | - John Onate
- Department of Psychiatry and Behavioral Sciences, University of California at Davis School of Medicine, Sacramento, CA, United States of America
| | - Aniyizhai Annamalai
- Departments of Psychiatry and Internal Medicine, Yale School of Medicine, New Haven, CT, United States of America
| | - Zeina Saliba
- Department of Psychiatry & Behavioral Sciences and Department of Emergency Medicine, The George Washington University, Washington, D.C, Department of Obstetrics & Gynecology, Virginia Commonwealth University, Richmond, VA, United States of America
| | - Thomas Heinrich
- Departments of Psychiatry and Behavioral Medicine, Family and Community Medicine, Medical College of Wisconsin, Milwaukee, WI, United States of America
| | - Jess G Fiedorowicz
- Departments of Psychiatry, Epidemiology, and Internal Medicine, University of Iowa, Iowa City, IA, United States of America
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Jaminion F, Bentley D, Wang K, Wandel C, Derks M, Diack C. PKPD and cardiac single cell modeling of a DDI study with a CYP3A4 substrate and itraconazole to quantify the effects on QT interval duration. J Pharmacokinet Pharmacodyn 2020; 47:447-459. [DOI: 10.1007/s10928-020-09696-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2019] [Accepted: 06/16/2020] [Indexed: 01/14/2023]
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Waleekhachonloet O, Limwattananon C, Rattanachotphanit T. Coprescription of QT interval-prolonging antipsychotics with potentially interacting medications in Thailand. Ther Adv Drug Saf 2019; 10:2042098619854886. [PMID: 31223470 PMCID: PMC6566479 DOI: 10.1177/2042098619854886] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2018] [Accepted: 05/09/2019] [Indexed: 01/26/2023] Open
Abstract
Background The US FDA has designated pimozide, thioridazine, and ziprasidone as contraindicated for patients at risk of QT interval prolongation, and assigned haloperidol, olanzapine, paliperidone, quetiapine, and risperidone as associated with a significant risk of QT prolongation. This study aimed to examine trends and hospital variations in concomitant prescribing among these eight selected antipsychotics, and coprescription with interacting drugs known to increase QT prolongation risk. Methods Data on outpatient antipsychotic prescriptions during 2012-2015 were obtained from 16 general hospitals and 10 university hospitals nationwide. A time-series analysis was used for estimating trends in coprescription that led to drug interactions. Results Coprescribing among the eight antipsychotics ranged from 7.5% for quetiapine to 33.1% for thioridazine. The rate of coprescription with contraindicated interacting drugs was 9.7% for thioridazine and 21.9% for pimozide, and increased by 1.1 and 1.4 percentage points (% pt.) yearly for thioridazine in general and university hospitals, respectively. Coprescribing with interacting drugs with precautions was 2.8% for quetiapine, 7.4% for ziprasidone, and 27.9% for risperidone; these percentages increased yearly by 1.7% pt. for ziprasidone and 2.6% pt. for risperidone in general hospitals, as well as by 1.0% pt. for risperidone in university hospitals. The median proportion of patients exposed to a QT-prolonging interaction was 12.3% across hospitals (interquartile range, 9.9-19.5%). Wide interhospital variation was found in percentages of drug interactions among patients receiving thioridazine, ziprasidone, paliperidone, or olanzapine in general hospitals, and among patients receiving paliperidone or pimozide in university hospitals. Conclusions Coprescription of antipsychotics with interacting drugs that could increase the risk of QT prolongation was common in Thailand, and thioridazine, ziprasidone, and risperidone showed increasing trends. We urge the incorporation of a unified list of QT-prolonging antipsychotics and interacting drugs into a computerized drug interaction warning system, and existing national rational drug use campaigns should cover this important issue.
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Affiliation(s)
| | - Chulaporn Limwattananon
- Division of Clinical Pharmacy, Faculty of Pharmaceutical Sciences, Khon Kaen University, Thailand
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Riordan PA, Briscoe J, Uritsky TJ, Jones CA, Webb JA. Top Ten Tips Palliative Care Clinicians Should Know About Psychopharmacology. J Palliat Med 2019; 22:572-579. [PMID: 30925078 DOI: 10.1089/jpm.2019.0106] [Citation(s) in RCA: 56] [Impact Index Per Article: 11.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Palliative care (PC) providers often prescribe psychotropic medications to address psychological and physical suffering of patients with serious medical illness. Consideration must be given to the significant medical comorbidities of the patient when selecting a medication. This article seeks to provide guidance on how to safely and effectively select a psychotropic agent for depression, anxiety, and other distressing symptoms for patients with serious illness. To do so, we draw upon a team of physicians and a pharmacist with training in psychiatry and PC to highlight the "Top 10" tips for selecting a psychotropic medication to provide relief for patients with serious medical illness.
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Affiliation(s)
- Paul A Riordan
- 1 Section of Palliative Medicine, Duke University School of Medicine, Durham, North Carolina.,2 Department of Medicine, Duke University School of Medicine, Durham, North Carolina
| | - Joshua Briscoe
- 2 Department of Medicine, Duke University School of Medicine, Durham, North Carolina.,3 Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, North Carolina
| | - Tanya J Uritsky
- 4 Clinical Pharmacy Specialist in Pain Medication Stewardship, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania
| | - Christopher A Jones
- 5 Perelman School of Medicine and Palliative and Advanced Illness Research Center, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Jason A Webb
- 1 Section of Palliative Medicine, Duke University School of Medicine, Durham, North Carolina.,2 Department of Medicine, Duke University School of Medicine, Durham, North Carolina.,3 Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, North Carolina
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9
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Rochester MP, Kane AM, Linnebur SA, Fixen DR. Evaluating the risk of QTc prolongation associated with antidepressant use in older adults: a review of the evidence. Ther Adv Drug Saf 2018; 9:297-308. [PMID: 29854391 DOI: 10.1177/2042098618772979] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2017] [Accepted: 04/03/2018] [Indexed: 11/16/2022] Open
Abstract
Antidepressants are widely used medications for a range of medical conditions such as mood disorders and chronic pain in older adults. A vast body of evidence exists concerning the risks of QT interval prolongation associated with these agents and healthcare providers should critically evaluate the potential for QT prolongation when selecting antidepressant agents. Long QT syndrome is a disorder of myocardial repolarization that manifests as a prolonged QT interval on an electrocardiogram (ECG) and has been demonstrated to increase with age. The objective of this review is to present and evaluate existing literature regarding the risk of QT prolongation in older adults, age 60 years and older, and discuss the implications for clinical practice. A PubMed search was conducted to identify studies evaluating the QT prolonging effects of antidepressant medications and publications were chosen based on pertinent criteria. Depending on the antidepressant agent and patient-specific factors, clinicians should assess and monitor electrolytes and EGCs to evaluate the risks and benefits for older adults receiving agents known to prolong the QT interval.
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Affiliation(s)
- Matthew P Rochester
- University of Colorado Skaggs School of Pharmacy and Pharmaceutical Sciences, Aurora, CO, USA
| | - Allison M Kane
- University of Colorado Skaggs School of Pharmacy and Pharmaceutical Sciences, Aurora, CO, USA
| | | | - Danielle R Fixen
- University of Colorado Skaggs Schools of Pharmacy, 12850 E. Montview Boulevard, Aurora, CO 80045, USA
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10
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Blockade of voltage-dependent K + current in rabbit coronary arterial smooth muscle cells by the tricyclic antidepressant clomipramine. J Pharmacol Sci 2018; 137:61-66. [PMID: 29752209 DOI: 10.1016/j.jphs.2018.04.005] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2018] [Revised: 04/03/2018] [Accepted: 04/20/2018] [Indexed: 11/20/2022] Open
Abstract
We investigated the effect of the tricyclic antidepressant clomipramine on voltage-dependent K+ (Kv) channels in native rabbit coronary arterial smooth muscle cells. Our results showed that clomipramine inhibited vascular Kv channels in a concentration-dependent manner, with an IC50 value of 8.61 ± 4.86 μM and a Hill coefficient (n) of 0.58 ± 0.07. The application of 10 μM clomipramine did not affect the activation curves of the Kv channels; however, the inactivation curves of the Kv channels were shifted toward a more negative potential. The clomipramine-induced inhibition of Kv currents was not changed by the application of train pulses (1 or 2 Hz), which demonstrated that clomipramine inhibited Kv current in a state (use)-independent manner. Pretreatment with the Kv1.5 and Kv2.1 inhibitors, DPO-1 and guangxitoxin, respectively, partially reduced the clomipramine-induced inhibition of Kv currents. Therefore, we concluded that clomipramine inhibited vascular Kv channels in a concentration-dependent, but state (use)-independent manner, regardless of its own function.
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11
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Seyerle AA, Sitlani CM, Noordam R, Gogarten SM, Li J, Li X, Evans DS, Sun F, Laaksonen MA, Isaacs A, Kristiansson K, Highland HM, Stewart JD, Harris TB, Trompet S, Bis JC, Peloso GM, Brody JA, Broer L, Busch EL, Duan Q, Stilp AM, O'Donnell CJ, Macfarlane PW, Floyd JS, Kors JA, Lin HJ, Li-Gao R, Sofer T, Méndez-Giráldez R, Cummings SR, Heckbert SR, Hofman A, Ford I, Li Y, Launer LJ, Porthan K, Newton-Cheh C, Napier MD, Kerr KF, Reiner AP, Rice KM, Roach J, Buckley BM, Soliman EZ, de Mutsert R, Sotoodehnia N, Uitterlinden AG, North KE, Lee CR, Gudnason V, Stürmer T, Rosendaal FR, Taylor KD, Wiggins KL, Wilson JG, Chen YD, Kaplan RC, Wilhelmsen K, Cupples LA, Salomaa V, van Duijn C, Jukema JW, Liu Y, Mook-Kanamori DO, Lange LA, Vasan RS, Smith AV, Stricker BH, Laurie CC, Rotter JI, Whitsel EA, Psaty BM, Avery CL. Pharmacogenomics study of thiazide diuretics and QT interval in multi-ethnic populations: the cohorts for heart and aging research in genomic epidemiology. THE PHARMACOGENOMICS JOURNAL 2018; 18:215-226. [PMID: 28719597 PMCID: PMC5773415 DOI: 10.1038/tpj.2017.10] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/20/2016] [Revised: 01/14/2017] [Accepted: 03/09/2017] [Indexed: 12/23/2022]
Abstract
Thiazide diuretics, commonly used antihypertensives, may cause QT interval (QT) prolongation, a risk factor for highly fatal and difficult to predict ventricular arrhythmias. We examined whether common single-nucleotide polymorphisms (SNPs) modified the association between thiazide use and QT or its component parts (QRS interval, JT interval) by performing ancestry-specific, trans-ethnic and cross-phenotype genome-wide analyses of European (66%), African American (15%) and Hispanic (19%) populations (N=78 199), leveraging longitudinal data, incorporating corrected standard errors to account for underestimation of interaction estimate variances and evaluating evidence for pathway enrichment. Although no loci achieved genome-wide significance (P<5 × 10-8), we found suggestive evidence (P<5 × 10-6) for SNPs modifying the thiazide-QT association at 22 loci, including ion transport loci (for example, NELL1, KCNQ3). The biologic plausibility of our suggestive results and simulations demonstrating modest power to detect interaction effects at genome-wide significant levels indicate that larger studies and innovative statistical methods are warranted in future efforts evaluating thiazide-SNP interactions.
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Affiliation(s)
- A A Seyerle
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN, USA
| | - C M Sitlani
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - R Noordam
- Department of Epidemiology, Erasmus MC-University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands
| | - S M Gogarten
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - J Li
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Palo Alto, CA, USA
| | - X Li
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - D S Evans
- California Pacific Medical Center Research Institute, San Francisco, CA, USA
| | - F Sun
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - M A Laaksonen
- Department of Health, THL-National Institute for Health and Welfare, Helsinki, Finland
| | - A Isaacs
- Department of Epidemiology, Erasmus MC-University Medical Center Rotterdam, Rotterdam, The Netherlands
- CARIM School of Cardiovascular Diseases, Maastricht Centre for Systems Biology (MaCSBio), and Department of Biochemistry, Maastricht University, Maastricht, The Netherlands
| | - K Kristiansson
- Department of Health, THL-National Institute for Health and Welfare, Helsinki, Finland
| | - H M Highland
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
| | - J D Stewart
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
- Carolina Population Center, University of North Carolina, Chapel Hill, NC, USA
| | - T B Harris
- Laboratory of Epidemiology, Demography, and Biometry, National Institute on Aging, Bethesda, MD, USA
| | - S Trompet
- Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
| | - J C Bis
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - G M Peloso
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - J A Brody
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - L Broer
- Department of Internal Medicine, Erasmus MC-University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - E L Busch
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Q Duan
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
| | - A M Stilp
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - C J O'Donnell
- Department of Medicine, Harvard University, Boston, MA, USA
- National Heart, Lung, and Blood Institute Framingham Heart Study, Framingham, MA, USA
- Cardiology Section, Boston Veterans Administration Healthcare, Boston, MA, USA
| | - P W Macfarlane
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - J S Floyd
- Department of Medicine, University of Washington, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - J A Kors
- Department of Medical Informatics, Erasmus MC-University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - H J Lin
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
- Division of Medical Genetics, Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, CA, USA
| | - R Li-Gao
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - T Sofer
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - R Méndez-Giráldez
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
| | - S R Cummings
- California Pacific Medical Center Research Institute, San Francisco, CA, USA
| | - S R Heckbert
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - A Hofman
- Department of Epidemiology, Erasmus MC-University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - I Ford
- Robertson Center for Biostatistics, University of Glasgow, Glasgow, UK
| | - Y Li
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
- Department of Biostatistics, University of North Carolina, Chapel Hill, NC, USA
- Department of Computer Science, University of North Carolina, Chapel Hill, NC, USA
| | - L J Launer
- Laboratory of Epidemiology, Demography, and Biometry, National Institute on Aging, Bethesda, MD, USA
| | - K Porthan
- Division of Cardiology, Heart and Lung Center, Helsinki University Central Hospital, Helsinki, Finland
| | - C Newton-Cheh
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
- Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
| | - M D Napier
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
| | - K F Kerr
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - A P Reiner
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - K M Rice
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - J Roach
- Research Computing Center, University of North Carolina, Chapel Hill, NC, USA
| | - B M Buckley
- Department of Pharmacology and Therapeutics, University College Cork, Cork, Ireland
| | - E Z Soliman
- Epidemiology Cardiology Research Center (EPICARE), Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - R de Mutsert
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - N Sotoodehnia
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Division of Cardiology, University of Washington, Seattle, WA, USA
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - A G Uitterlinden
- Department of Internal Medicine, Erasmus MC-University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - K E North
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
| | - C R Lee
- Division of Pharmacotherapy and Experimental Therapeutics, Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, NC, USA
| | - V Gudnason
- Icelandic Heart Association, Kopavogur, Iceland
- Department of Medicine, University of Iceland, Reykjavik, Iceland
| | - T Stürmer
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
- Center for Pharmacoepidemiology, University of North Carolina, Chapel Hill, NC, USA
| | - F R Rosendaal
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - K D Taylor
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - K L Wiggins
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - J G Wilson
- Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, MS, USA
| | - Y-Di Chen
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - R C Kaplan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - K Wilhelmsen
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
- The Renaissance Computing Institute, Chapel Hill, NC, USA
| | - L A Cupples
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
- National Heart, Lung, and Blood Institute Framingham Heart Study, Framingham, MA, USA
| | - V Salomaa
- Department of Health, THL-National Institute for Health and Welfare, Helsinki, Finland
| | - C van Duijn
- Department of Epidemiology, Erasmus MC-University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - J W Jukema
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
- Durrer Center for Cardiogenetic Research, Amsterdam, The Netherlands
- Interuniversity Cardiology Institute of the Netherlands, Utrecht, The Netherlands
| | - Y Liu
- Department of Epidemiology and Prevention, Division of Public Health Sciences, Wake Forest University, Winston-Salem, NC, USA
| | - D O Mook-Kanamori
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
- Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, the Netherlands
- Department of BESC, Epidemiology Section, King Faisal Specialist Hospital and Research Centre, Riyadh, Saudi Arabia
| | - L A Lange
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
| | - R S Vasan
- National Heart, Lung, and Blood Institute Framingham Heart Study, Framingham, MA, USA
- Division of Preventive Medicine and Epidemiology, Department of Epidemiology, Boston University School of Medicine, Boston, MA, USA
| | - A V Smith
- Icelandic Heart Association, Kopavogur, Iceland
- Department of Medicine, University of Iceland, Reykjavik, Iceland
| | - B H Stricker
- Department of Epidemiology, Erasmus MC-University Medical Center Rotterdam, Rotterdam, The Netherlands
- Inspectorate of Health Care, Utrecht, The Netherlands
| | - C C Laurie
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - J I Rotter
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - E A Whitsel
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
- Department of Medicine, University of North Carolina, Chapel Hill, NC, USA
| | - B M Psaty
- Department of Medicine, University of Washington, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Department of Health Services, University of Washington, Seattle, WA, USA
- Group Health Research Institute, Group Health Cooperative, Seattle, WA, USA
| | - C L Avery
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
- Carolina Population Center, University of North Carolina, Chapel Hill, NC, USA
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12
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Evaluation of the Relationship Between Pharmacokinetics and the Safety of Aripiprazole and Its Cardiovascular Effects in Healthy Volunteers. J Clin Psychopharmacol 2016; 36:608-614. [PMID: 27684290 DOI: 10.1097/jcp.0000000000000577] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
AIMS The aim of this study was the evaluation of the possible relationship between pharmacokinetics and the safety of aripiprazole as well as its influence on blood pressure (BP), heart rate (HR), and corrected QT (QTc) interval. METHODS The study population comprised 157 healthy volunteers from 6 bioequivalence clinical trials. Subjects were administered a single 10-mg oral dose of each formulation separated by a 28-day washout period. Plasma concentrations were measured using high-performance liquid chromatography coupled to mass spectrometry. Blood pressure was measured at the following times: predose and 0.5, 2, 4, 6, and 8 hours postdose. An electrocardiogram was recorded at predose, 4, and 8 hours postdose. RESULTS Area under the curve (AUC), maximum plasma concentration, half-life, and distribution volume corrected for weight were higher in women. Aripiprazole treatment produced a decrease of BP (9.3 mm Hg on systolic and 6.2 mm Hg on diastolic pressure) and an increase in HR (12.1 beats per minute) and QTc interval (9.1 milliseconds). There were sex differences in BP, HR, and QTc interval. Women and subjects with higher AUC and maximum plasma concentration values were more prone to experience adverse drug reactions and gastrointestinal adverse reactions. The AUC was related with systolic BP and diastolic BP decrease and HR increase but there was no relationship between aripiprazole concentrations and QTc increase. CONCLUSIONS Aripiprazole decreases BP and increases HR and QTc interval. Pharmacokinetics, pharmacodynamics, and safety of aripiprazole are affected by sex. There is a directly proportional relationship between pharmacokinetic parameters and adverse drug reactions and effect on BP and HR.
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13
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The Use of Gene Ontology Term and KEGG Pathway Enrichment for Analysis of Drug Half-Life. PLoS One 2016; 11:e0165496. [PMID: 27780226 PMCID: PMC5079577 DOI: 10.1371/journal.pone.0165496] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2016] [Accepted: 10/12/2016] [Indexed: 02/07/2023] Open
Abstract
A drug's biological half-life is defined as the time required for the human body to metabolize or eliminate 50% of the initial drug dosage. Correctly measuring the half-life of a given drug is helpful for the safe and accurate usage of the drug. In this study, we investigated which gene ontology (GO) terms and biological pathways were highly related to the determination of drug half-life. The investigated drugs, with known half-lives, were analyzed based on their enrichment scores for associated GO terms and KEGG pathways. These scores indicate which GO terms or KEGG pathways the drug targets. The feature selection method, minimum redundancy maximum relevance, was used to analyze these GO terms and KEGG pathways and to identify important GO terms and pathways, such as sodium-independent organic anion transmembrane transporter activity (GO:0015347), monoamine transmembrane transporter activity (GO:0008504), negative regulation of synaptic transmission (GO:0050805), neuroactive ligand-receptor interaction (hsa04080), serotonergic synapse (hsa04726), and linoleic acid metabolism (hsa00591), among others. This analysis confirmed our results and may show evidence for a new method in studying drug half-lives and building effective computational methods for the prediction of drug half-lives.
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14
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Sasaoka S, Matsui T, Hane Y, Abe J, Ueda N, Motooka Y, Hatahira H, Fukuda A, Naganuma M, Hasegawa S, Kinosada Y, Nakamura M. Time-to-Onset Analysis of Drug-Induced Long QT Syndrome Based on a Spontaneous Reporting System for Adverse Drug Events. PLoS One 2016; 11:e0164309. [PMID: 27723808 PMCID: PMC5056697 DOI: 10.1371/journal.pone.0164309] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2016] [Accepted: 09/22/2016] [Indexed: 11/18/2022] Open
Abstract
Long QT syndrome (LQTS) is a disorder of the heart’s electrical activity that infrequently causes severe ventricular arrhythmias such as a type of ventricular tachycardia called torsade de pointes (TdP) and ventricular fibrillation, which can be fatal. There have been no previous reports on the time-to-onset for LQTS based on data from spontaneous reporting systems. The aim of this study was to assess the time-to-onset of LQTS according to drug treatment. We analyzed the association between 113 drugs in 37 therapeutic categories and LQTS including TdP using data obtained from the Japanese Adverse Drug Event Report database. For signal detection, we used the reporting odds ratio (ROR). Furthermore, we analyzed the time-to-onset data and assessed the hazard type using the Weibull shape parameter. The RORs (95% confidence interval) for bepridil, amiodarone, pilsicainide, nilotinib, disopyramide, arsenic trioxide, clarithromycin, cibenzoline, donepezil, famotidine, sulpiride, and nifekalant were 174.4 (148.6–204.6), 17.3 (14.7–20.4), 52.0 (43.4–62.4), 13.9 (11.5–16.7), 69.3 (55.3–86.8), 54.2 (43.2–68.0), 4.7 (3.8–5.8), 19.9 (15.9–25.0), 8.1 (6.5–10.1), 3.2 (2.5–4.1), 7.1 (5.5–9.2), and 254.8 (168.5–385.4), respectively. The medians and quartiles of time-to-onset for aprindine (oral) and bepridil were 20.0 (11.0–35.8) and 18.0 (6.0–43.0) days, respectively. The lower 95% confidence interval of the shape parameter β of bepridil was over 1 and the hazard was considered to increase over time.Our study indicated that the pattern of LQTS onset might differ among drugs. Based on these results, careful long-term observation is recommended, especially for specific drugs such as bepridil and aprindine. This information may be useful for the prevention of sudden death following LQTS and for efficient therapeutic planning.
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Affiliation(s)
- Sayaka Sasaoka
- Laboratory of Drug Informatics, Gifu Pharmaceutical University, Gifu-shi, Gifu, Japan
| | - Toshinobu Matsui
- Laboratory of Drug Informatics, Gifu Pharmaceutical University, Gifu-shi, Gifu, Japan
| | - Yuuki Hane
- Laboratory of Drug Informatics, Gifu Pharmaceutical University, Gifu-shi, Gifu, Japan
| | - Junko Abe
- Laboratory of Drug Informatics, Gifu Pharmaceutical University, Gifu-shi, Gifu, Japan
- Medical database Co., LTD, Shibuya-ku, Tokyo, Japan
| | - Natsumi Ueda
- Laboratory of Drug Informatics, Gifu Pharmaceutical University, Gifu-shi, Gifu, Japan
| | - Yumi Motooka
- Laboratory of Drug Informatics, Gifu Pharmaceutical University, Gifu-shi, Gifu, Japan
| | - Haruna Hatahira
- Laboratory of Drug Informatics, Gifu Pharmaceutical University, Gifu-shi, Gifu, Japan
| | - Akiho Fukuda
- Laboratory of Drug Informatics, Gifu Pharmaceutical University, Gifu-shi, Gifu, Japan
| | - Misa Naganuma
- Laboratory of Drug Informatics, Gifu Pharmaceutical University, Gifu-shi, Gifu, Japan
| | - Shiori Hasegawa
- Laboratory of Drug Informatics, Gifu Pharmaceutical University, Gifu-shi, Gifu, Japan
| | - Yasutomi Kinosada
- United Graduate School of Drug Discovery and Medical Information Sciences, Gifu University, Gifu-shi, Gifu, Japan
| | - Mitsuhiro Nakamura
- Laboratory of Drug Informatics, Gifu Pharmaceutical University, Gifu-shi, Gifu, Japan
- * E-mail:
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Swaisland H, Plummer R, So K, Garnett S, Bannister W, Fabre MA, Dota C, Fielding A. Olaparib does not cause clinically relevant QT/QTc interval prolongation in patients with advanced solid tumours: results from two phase I studies. Cancer Chemother Pharmacol 2016; 78:775-84. [PMID: 27553432 DOI: 10.1007/s00280-016-3124-5] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2016] [Accepted: 07/29/2016] [Indexed: 11/28/2022]
Abstract
BACKGROUND Some therapeutic agents in oncology can be causally associated with specific cardiovascular events including QT/QTc interval prolongation. We investigated the effect of multiple dosing of the oral poly (ADP-ribose)-polymerase (PARP) inhibitor, olaparib (tablet formulation) on QT/QTc interval. METHODS Two phase I, open-label, three-part studies (NCT01921140 [study 4] and NCT01900028 [study 7]) were conducted in adults with refractory/resistant advanced solid tumours. In both studies, parts A and B assessed the QT/QTc interval effects of single-dose oral olaparib 100 (study 4) or 300 (study 7) mg and multiple-dose olaparib 300 mg bid for 5 days, respectively, while part C evaluated continued access to olaparib for additional safety analyses. An ANCOVA model tested the primary objective of multiple-dose effects of olaparib on QT interval corrected using Fridericia's formula (QTcF). RESULTS Data from 119 and 109 patients were pooled from parts A and B, respectively, for QT/QTc analysis. At pre-dose and up to 12 h post-dose, the upper limits of the 90 % confidence intervals (CIs) for the difference in QTcF least squares means after olaparib multiple dosing versus control (day -1) were <10 ms, suggesting a lack of clinically relevant effect on cardiac repolarization. A slight shortening of QTcF was observed at most time points versus control. QTcF results for the individual studies and single-dose olaparib paralleled the primary multiple-dose pooled analysis, with upper limits of the 90 % CIs < 10 ms. CONCLUSION Olaparib tablets administered as multiple or single doses had no clinically significant effect on QT/QTc interval.
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Affiliation(s)
| | - Ruth Plummer
- Northern Centre for Cancer Care, Newcastle-upon-Tyne, UK
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16
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Park SI, An H, Kim A, Jang IJ, Yu KS, Chung JY. An analysis of QTc prolongation with atypical antipsychotic medications and selective serotonin reuptake inhibitors using a large ECG record database. Expert Opin Drug Saf 2016; 15:1013-9. [DOI: 10.1080/14740338.2016.1199681] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Affiliation(s)
- Sang-In Park
- Department of Clinical Pharmacology and Therapeutics, Seoul National University College of Medicine and Hospital, Seoul, Republic of Korea
| | - Hyungmi An
- Department of Clinical Pharmacology and Therapeutics, Seoul National University College of Medicine and Hospital, Seoul, Republic of Korea
| | - Anhye Kim
- Department of Clinical Pharmacology and Therapeutics, Seoul National University College of Medicine and Hospital, Seoul, Republic of Korea
| | - In-Jin Jang
- Department of Clinical Pharmacology and Therapeutics, Seoul National University College of Medicine and Hospital, Seoul, Republic of Korea
| | - Kyung-Sang Yu
- Department of Clinical Pharmacology and Therapeutics, Seoul National University College of Medicine and Hospital, Seoul, Republic of Korea
| | - Jae-Yong Chung
- Department of Clinical Pharmacology and Therapeutics, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
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Increase of Heart Rate and QTc by Amitriptyline, But Not by Venlafaxine, Is Correlated to Serum Concentration. J Clin Psychopharmacol 2015; 35:460-3. [PMID: 26035054 DOI: 10.1097/jcp.0000000000000336] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
Electrocardiographic pathologies are a common problem during antidepressant treatment. The authors investigated the association of serum concentrations of antidepressants and heart rate, QT, and QTc. Polymorphisms of NOS1AP (nitric oxide synthase 1 adaptor protein) rs10494366 and rs12143842 as potential influence factors also were considered. In the amitriptyline sample (n = 59), significant Spearman ρ correlations were found between serum concentration and QTc (r = 0.333, P = 0.010), as well as heart rate (r = 0.407, P = 0.001). Patients with a serum concentration greater than the therapeutic range (>200 ng/mL) exhibit significantly higher heart rates (87.0 ± 13.3 vs 80.0 ± 13.9, U test P = 0.011) and higher QTc values (443.8 ± 28.8 vs 427.9 ± 20.6, U test P = 0.022). Excluding the 26 patients with a serum concentration greater than the therapeutic range, patients with rs12143842 risk alleles exhibit higher heart rates and as a trend lower QT intervals with no difference in QTc. In the venlafaxine sample (n = 81), no significant association between serum concentration and heart rate, QT, or QTc was revealed. In summary, the risk for relevant electrocardiographic alterations induced by tricyclic antidepressants, such as amitriptyline, is dependent on serum concentrations. NOS1AP polymorphisms may be a genetic vulnerability factor.
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18
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Rabkin SW. Impact of Age and Sex on QT Prolongation in Patients Receiving Psychotropics. CANADIAN JOURNAL OF PSYCHIATRY. REVUE CANADIENNE DE PSYCHIATRIE 2015; 60:206-14. [PMID: 26174524 PMCID: PMC4484689 DOI: 10.1177/070674371506000502] [Citation(s) in RCA: 41] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/01/2014] [Accepted: 02/01/2015] [Indexed: 11/17/2022]
Abstract
OBJECTIVE To assess older age and female sex, 2 of the major risk factors for potentially fatal cardiac arrhythmias or sudden cardiac death in patients prescribed psychotropics, within the context of electrocardiographic evidence of time between start of Q wave and end of T wave (QT) interval prolongation, which is an indicator of an increased risk for potentially fatal cardiac arrhythmias. METHOD The literature on the relation between age, sex, and QT interval with respect to psychotropic drugs was reviewed. RESULTS The QT interval must be corrected (QTc) for heart rate. Because slower heart rates prolong and faster heart rates shorten the QT interval, people with faster heart rates may have a prolonged QT interval that is not apparent until the correction is performed. QTc values for apparently healthy post-pubertal people are less than 450 ms for males and less than 470 ms for females. The longer QT intervals in women may account for their increased risk of potentially fatal cardiac arrhythmias on psychotropics. QTc increases with increasing age. Assessment of QTc in older people is especially important to identify people with a longer QTc who are more likely to attain a serious QT level with drugs that prolong QTc. The age-related increase in QTc is more evident in men than women, suggesting that male sex does not afford protection against potentially fatal arrhythmias at older age. CONCLUSION The association of increasing age and female sex with greater QT intervals indicates the need to have an increased awareness of the QTc prior to use of these psychotropics and to evaluate the QTc after initiation of therapy.
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Affiliation(s)
- Simon W Rabkin
- Professor of Medicine (Cardiology), Department of Medicine (Cardiology), University of British Columbia, Vancouver, British Columbia
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19
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LIU BAOXIN, LI SHUANG, SU YANG, XIONG MENGTING, XU YAWEI. Comparative study of the protective effects of terfenadine and amiodarone on barium chloride/aconitine-induced ventricular arrhythmias in rats: A potential role of terfenadine. Mol Med Rep 2014; 10:3217-26. [DOI: 10.3892/mmr.2014.2640] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2013] [Accepted: 07/22/2014] [Indexed: 11/06/2022] Open
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