1
|
Lawley CM, Luczak-Wozniak K, Chung SC, Field E, Barnes A, Starling L, Cervi E, Kaski JP. Utility and acceptability of remote 6-lead electrocardiographic monitoring in children with inherited cardiac conditions. Arch Dis Child 2024; 109:742-747. [PMID: 38849195 PMCID: PMC11347208 DOI: 10.1136/archdischild-2023-326756] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Accepted: 05/26/2024] [Indexed: 06/09/2024]
Abstract
OBJECTIVE This pilot study sought to investigate the utility and acceptability of the KardiaMobile 6-lead ECG (KM6LECG) as a tool for remote monitoring in children with inherited cardiac conditions. DESIGN A single-centre prospective cohort study. Children underwent standard clinical evaluation including a 12-lead ECG and a KM6LECG in the clinic. Participants recorded KM6LECGs monthly at home for 3 months. Families completed a questionnaire on their experience. SETTING Great Ormond Street Hospital Centre for Inherited Cardiovascular Diseases. PARTICIPANTS 64 children: 22 with hypertrophic cardiomyopathy (HCM); 22 with long QT syndrome and 20 unaffected siblings (controls). MAIN OUTCOME MEASURES Comparison of data extracted from the clinic 12-lead ECG and supervised KM6LECG, and the supervised and unsupervised KM6LECG recording. RESULTS Of 64 children (35% female, mean age 12 years), 58 had a baseline 12-lead ECG and appropriate baseline KM6LECG. In children with HCM, abnormalities in ventricular depolarisation/repolarisation in the limb leads of the 12-lead ECG were reliably reproduced. From the whole cohort, there was a strong positive correlation between the corrected QT interval from the 12-lead ECG and baseline KM6LECG (intraclass correlation coefficient=0.839) and baseline KM6LECG with an unsupervised KM6LECG (intraclass correlation coefficient=0.736). Suspected 'lead' misplacement impacted 18% of unsupervised recordings. Overall, the acceptability of the KM6LECG to families was good. CONCLUSIONS The KM6LECG provides an accurate tool for assessing some ECG abnormalities associated with paediatric inherited cardiovascular disease and may provide a useful at-home adjunct to face-to-face clinical care of children requiring ECG assessment.
Collapse
Affiliation(s)
- Claire Margaret Lawley
- Centre for Inherited Cardiovascular Diseases, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK
- The University of Sydney Children's Hospital Westmead Clinical School, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
- Centre for Paediatric Inherited and Rare Cardiovascular Disease, Institute of Cardiovascular Sciences, University College London, London, UK
| | - Katarzyna Luczak-Wozniak
- Centre for Inherited Cardiovascular Diseases, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK
- Department of Pediatric Cardiology and General Pediatrics, Medical University of Warsaw, Warszawa, Poland
| | - Sheng-Chia Chung
- Centre for Paediatric Inherited and Rare Cardiovascular Disease, Institute of Cardiovascular Sciences, University College London, London, UK
- Health Data Research UK, Institute of Health Informatics, University College London, London, UK
| | - Ella Field
- Centre for Inherited Cardiovascular Diseases, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK
- Centre for Paediatric Inherited and Rare Cardiovascular Disease, Institute of Cardiovascular Sciences, University College London, London, UK
| | - Annabelle Barnes
- Centre for Inherited Cardiovascular Diseases, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK
- Centre for Paediatric Inherited and Rare Cardiovascular Disease, Institute of Cardiovascular Sciences, University College London, London, UK
| | - Luke Starling
- Centre for Inherited Cardiovascular Diseases, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK
- Centre for Paediatric Inherited and Rare Cardiovascular Disease, Institute of Cardiovascular Sciences, University College London, London, UK
| | - Elena Cervi
- Centre for Inherited Cardiovascular Diseases, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK
- Centre for Paediatric Inherited and Rare Cardiovascular Disease, Institute of Cardiovascular Sciences, University College London, London, UK
| | - Juan Pablo Kaski
- Centre for Inherited Cardiovascular Diseases, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK
- Centre for Paediatric Inherited and Rare Cardiovascular Disease, Institute of Cardiovascular Sciences, University College London, London, UK
| |
Collapse
|
2
|
Ho CN, Chung WC, Kao CL, Hsu CW, Hung KC, Yu CH, Chen JY, Chen IW. Impact of preoperative QTc interval prolongation on short-term postoperative outcomes: A retrospective study. J Clin Anesth 2024; 98:111574. [PMID: 39121785 DOI: 10.1016/j.jclinane.2024.111574] [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: 02/23/2024] [Revised: 06/29/2024] [Accepted: 08/02/2024] [Indexed: 08/12/2024]
Abstract
STUDY OBJECTIVE Although a prolonged heart rate-corrected QT interval (QTcI) is associated with an increased risk of mortality in the general population, its prognostic value in surgical patients remains unclear. We aimed to examine whether preoperative QTcI prolongation predicts short-term postoperative outcomes in elderly patients undergoing noncardiac surgery. DESIGN The study was a retrospective analysis using the TriNetX network database. SETTING Operating room. INTERVENTION Assessment and categorization of preoperative QTcI. PATIENTS Data of patients aged ≥65 years who underwent non-cardiac surgery between 2010 and 2023 were analyzed. MEASUREMENTS Patients were categorized into four groups based on preoperative QTcI: long (500-600 ms), borderline (460-500 ms), high-normal (420-460 ms) and control (370-420 ms) groups. The groups were compared using a propensity score-matched analysis. The primary outcome was the all-cause 90-day mortality risk. The secondary outcomes included 90-day risks of postoperative new-onset atrial fibrillation (Af), ventricular arrhythmias (VAs), emergency visits, hospital readmissions, and pneumonia. RESULTS In total, data on 519,929 patients were collected in this study. Pairwise comparisons showed that all QTcI prolongation groups demonstrated a heightened incidence of postoperative mortality, arrhythmias, and other complications compared to the control group. Patients with a long QTcI had a 3-fold higher risk of mortality (hazard ratio [HR] = 3.124, p < 0.001), Af (HR = 3.059, p < 0.001), and VAs (HR = 3.617, p < 0.001) than controls. The risks of emergency visits (HR = 1.287, p < 0.001), hospital readmissions (HR = 1.591, p < 0.001), and pneumonia (HR = 1.672, p < 0.001) were also higher in the long QTcI group than in the control group. A dose-dependent response was evident between QTcI and mortality as well as arrhythmia risk. CONCLUSION Preoperative QTcI screening effectively risk-stratifies elderly surgical patients, with a QTcI≥500 ms being strongly predictive of short-term postoperative mortality and other complications. Incorporating QTcI assessment into the preoperative evaluation may guide perioperative monitoring and management.
Collapse
Affiliation(s)
- Chun-Ning Ho
- School of Medicine, College of Medicine, National Sun Yat-sen University, Kaohsiung City, Taiwan; Department of Anesthesiology, Chi Mei Medical Center, Tainan City, Taiwan
| | - Wei-Chu Chung
- Department of Anesthesiology, Chi Mei Medical Center, Tainan City, Taiwan
| | - Chia-Li Kao
- Department of Anesthesiology, E-Da Hospital, I-Shou University, Kaohsiung City, Taiwan
| | - Chih-Wei Hsu
- Department of Psychiatry, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung City 83301, Taiwan
| | - Kuo-Chuan Hung
- Department of Anesthesiology, Chi Mei Medical Center, Tainan City, Taiwan
| | - Chia-Hung Yu
- Department of Anesthesiology, Chi Mei Medical Center, Tainan City, Taiwan
| | - Jen-Yin Chen
- School of Medicine, College of Medicine, National Sun Yat-sen University, Kaohsiung City, Taiwan; Department of Anesthesiology, Chi Mei Medical Center, Tainan City, Taiwan
| | - I-Wen Chen
- Department of Anesthesiology, Chi Mei Medical Center, Liouying, Tainan City, Taiwan.
| |
Collapse
|
3
|
Ni M, Dadon Z, Ormerod JOM, Saenen J, Hoeksema WF, Antiperovitch P, Tadros R, Christiansen MK, Steinberg C, Arnaud M, Tian S, Sun B, Estillore JP, Wang R, Khan HR, Roston TM, Mazzanti A, Giudicessi JR, Siontis KC, Alak A, Acosta JG, Divakara Menon SM, Tan NS, van der Werf C, Nazer B, Vivekanantham H, Pandya T, Cunningham J, Gula LJ, Wong JA, Amit G, Scheinman MM, Krahn AD, Ackerman MJ, Priori SG, Gollob MH, Healey JS, Sacher F, Nof E, Glikson M, Wilde AAM, Watkins H, Jensen HK, Postema PG, Belhassen B, Chen SRW, Roberts JD. A Clinical Diagnostic Test for Calcium Release Deficiency Syndrome. JAMA 2024; 332:204-213. [PMID: 38900490 PMCID: PMC11190834 DOI: 10.1001/jama.2024.8599] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Accepted: 04/23/2024] [Indexed: 06/21/2024]
Abstract
Importance Sudden death and cardiac arrest frequently occur without explanation, even after a thorough clinical evaluation. Calcium release deficiency syndrome (CRDS), a life-threatening genetic arrhythmia syndrome, is undetectable with standard testing and leads to unexplained cardiac arrest. Objective To explore the cardiac repolarization response on an electrocardiogram after brief tachycardia and a pause as a clinical diagnostic test for CRDS. Design, Setting, and Participants An international, multicenter, case-control study including individual cases of CRDS, 3 patient control groups (individuals with suspected supraventricular tachycardia; survivors of unexplained cardiac arrest [UCA]; and individuals with genotype-positive catecholaminergic polymorphic ventricular tachycardia [CPVT]), and genetic mouse models (CRDS, wild type, and CPVT were used to define the cellular mechanism) conducted at 10 centers in 7 countries. Patient tracings were recorded between June 2005 and December 2023, and the analyses were performed from April 2023 to December 2023. Intervention Brief tachycardia and a subsequent pause (either spontaneous or mediated through cardiac pacing). Main Outcomes and Measures Change in QT interval and change in T-wave amplitude (defined as the difference between their absolute values on the postpause sinus beat and the last beat prior to tachycardia). Results Among 10 case patients with CRDS, 45 control patients with suspected supraventricular tachycardia, 10 control patients who experienced UCA, and 3 control patients with genotype-positive CPVT, the median change in T-wave amplitude on the postpause sinus beat (after brief ventricular tachycardia at ≥150 beats/min) was higher in patients with CRDS (P < .001). The smallest change in T-wave amplitude was 0.250 mV for a CRDS case patient compared with the largest change in T-wave amplitude of 0.160 mV for a control patient, indicating 100% discrimination. Although the median change in QT interval was longer in CRDS cases (P = .002), an overlap between the cases and controls was present. The genetic mouse models recapitulated the findings observed in humans and suggested the repolarization response was secondary to a pathologically large systolic release of calcium from the sarcoplasmic reticulum. Conclusions and Relevance There is a unique repolarization response on an electrocardiogram after provocation with brief tachycardia and a subsequent pause in CRDS cases and mouse models, which is absent from the controls. If these findings are confirmed in larger studies, this easy to perform maneuver may serve as an effective clinical diagnostic test for CRDS and become an important part of the evaluation of cardiac arrest.
Collapse
Affiliation(s)
- Mingke Ni
- Libin Cardiovascular Institute, Department of Physiology and Pharmacology, University of Calgary, Calgary, Alberta, Canada
| | - Ziv Dadon
- Section of Cardiac Electrophysiology, Division of Cardiology, Department of Medicine, Hamilton Health Sciences and McMaster University, Hamilton, Ontario, Canada
- Jesselson Integrated Heart Center, Eisenberg R&D Authority, Shaare Zedek Medical Center, and Hebrew University Faculty of Medicine, Jerusalem, Israel
| | - Julian O. M. Ormerod
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, England
- Oxford Heart Centre, John Radcliffe Hospital, Oxford, England
| | - Johan Saenen
- Department of Cardiology, Faculty of Medicine and Health Sciences, Antwerp University Hospital, Antwerp, Belgium
- Cardiovascular Research, Departments of Genetics, Pharmacology and Physiopathology of Heart, Blood Vessels and Skeleton, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
- Member of the European Reference Network for Rare, Low Prevalence, and Complex Diseases of the Heart (ERN GUARD-Heart)
| | - Wiert F. Hoeksema
- Department of Clinical Cardiology, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
- Heart Failure and Arrhythmias, Amsterdam Cardiovascular Sciences, Amsterdam, the Netherlands
| | - Pavel Antiperovitch
- Section of Cardiac Electrophysiology, Division of Cardiology, Department of Medicine, Western University, London, Ontario, Canada
| | - Rafik Tadros
- Montreal Heart Institute and Université de Montréal, Montreal, Quebec, Canada
| | | | - Christian Steinberg
- Institut Universitaire de Cardiologie et de Pneumologie de Québec, Laval University, Quebec City, Quebec, Canada
| | - Marine Arnaud
- Department of Cardiac Pacing and Electrophysiology, Hopital Cardiologique du Haut-Leveque, Centre Hospitalier Universitaire de Bordeaux, Pessac, France
| | - Shanshan Tian
- Libin Cardiovascular Institute, Department of Physiology and Pharmacology, University of Calgary, Calgary, Alberta, Canada
| | - Bo Sun
- Libin Cardiovascular Institute, Department of Physiology and Pharmacology, University of Calgary, Calgary, Alberta, Canada
| | - John Paul Estillore
- Libin Cardiovascular Institute, Department of Physiology and Pharmacology, University of Calgary, Calgary, Alberta, Canada
| | - Ruiwu Wang
- Libin Cardiovascular Institute, Department of Physiology and Pharmacology, University of Calgary, Calgary, Alberta, Canada
| | - Habib R. Khan
- Section of Cardiac Electrophysiology, Division of Cardiology, Department of Medicine, Western University, London, Ontario, Canada
| | - Thomas M. Roston
- Division of Cardiology and Centre for Cardiovascular Innovation, University of British Columbia, Vancouver, Canada
| | - Andrea Mazzanti
- Member of the European Reference Network for Rare, Low Prevalence, and Complex Diseases of the Heart (ERN GUARD-Heart)
- Department of Molecular Cardiology, IRCCS Istituti Clinici Scientifici Maugeri, Pavia, Italy
- Department of Molecular Medicine, University of Pavia, Pavia, Italy
| | - John R. Giudicessi
- Windland Smith Rice Genetic Heart Rhythm Clinic, Division of Heart Rhythm Services, Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota
| | | | - Aiman Alak
- Section of Cardiac Electrophysiology, Division of Cardiology, Department of Medicine, Hamilton Health Sciences and McMaster University, Hamilton, Ontario, Canada
| | - J. Gabriel Acosta
- Section of Cardiac Electrophysiology, Division of Cardiology, Department of Medicine, Hamilton Health Sciences and McMaster University, Hamilton, Ontario, Canada
| | - Syamkumar M. Divakara Menon
- Section of Cardiac Electrophysiology, Division of Cardiology, Department of Medicine, Hamilton Health Sciences and McMaster University, Hamilton, Ontario, Canada
| | - Nigel S. Tan
- Section of Cardiac Electrophysiology, Division of Cardiology, Department of Medicine, Hamilton Health Sciences and McMaster University, Hamilton, Ontario, Canada
| | - Christian van der Werf
- Member of the European Reference Network for Rare, Low Prevalence, and Complex Diseases of the Heart (ERN GUARD-Heart)
- Department of Clinical Cardiology, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
- Heart Failure and Arrhythmias, Amsterdam Cardiovascular Sciences, Amsterdam, the Netherlands
| | - Babak Nazer
- Section of Cardiac Electrophysiology, Division of Cardiology, University of Washington Medical Center, Seattle
| | - Hari Vivekanantham
- Section of Cardiac Electrophysiology, Division of Cardiology, Department of Medicine, Hamilton Health Sciences and McMaster University, Hamilton, Ontario, Canada
| | - Tanvi Pandya
- Section of Cardiac Electrophysiology, Division of Cardiology, Department of Medicine, Hamilton Health Sciences and McMaster University, Hamilton, Ontario, Canada
| | - Jennifer Cunningham
- Population Health Research Institute, Hamilton Health Sciences, Hamilton, Ontario, Canada
| | - Lorne J. Gula
- Section of Cardiac Electrophysiology, Division of Cardiology, Department of Medicine, Western University, London, Ontario, Canada
| | - Jorge A. Wong
- Section of Cardiac Electrophysiology, Division of Cardiology, Department of Medicine, Hamilton Health Sciences and McMaster University, Hamilton, Ontario, Canada
| | - Guy Amit
- Section of Cardiac Electrophysiology, Division of Cardiology, Department of Medicine, Hamilton Health Sciences and McMaster University, Hamilton, Ontario, Canada
| | - Melvin M. Scheinman
- Section of Cardiac Electrophysiology, Division of Cardiology, Department of Medicine, University of California, San Francisco
| | - Andrew D. Krahn
- Division of Cardiology and Centre for Cardiovascular Innovation, University of British Columbia, Vancouver, Canada
| | - Michael J. Ackerman
- Windland Smith Rice Genetic Heart Rhythm Clinic, Division of Heart Rhythm Services, Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota
- Windland Smith Rice Sudden Death Genomics Laboratory, Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, Minnesota
- Division of Pediatric Cardiology, Department of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, Minnesota
| | - Silvia G. Priori
- Department of Molecular Cardiology, IRCCS Istituti Clinici Scientifici Maugeri, Pavia, Italy
- Department of Molecular Medicine, University of Pavia, Pavia, Italy
| | - Michael H. Gollob
- Inherited Arrhythmia and Cardiomyopathy Program, Arrhythmia Service, Division of Cardiology, Toronto General Hospital and the University of Toronto, Toronto, Ontario, Canada
| | - Jeff S. Healey
- Section of Cardiac Electrophysiology, Division of Cardiology, Department of Medicine, Hamilton Health Sciences and McMaster University, Hamilton, Ontario, Canada
- Population Health Research Institute, Hamilton Health Sciences, Hamilton, Ontario, Canada
| | - Frederic Sacher
- Department of Cardiac Pacing and Electrophysiology, Hopital Cardiologique du Haut-Leveque, Centre Hospitalier Universitaire de Bordeaux, Pessac, France
| | - Eyal Nof
- Leviev Heart Institute, Chaim Sheba Medical Center, Ramat Gan, Israel
- Tel Aviv University, Tel Aviv, Israel
| | - Michael Glikson
- Jesselson Integrated Heart Center, Eisenberg R&D Authority, Shaare Zedek Medical Center, and Hebrew University Faculty of Medicine, Jerusalem, Israel
| | - Arthur A. M. Wilde
- Member of the European Reference Network for Rare, Low Prevalence, and Complex Diseases of the Heart (ERN GUARD-Heart)
- Department of Clinical Cardiology, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
- Heart Failure and Arrhythmias, Amsterdam Cardiovascular Sciences, Amsterdam, the Netherlands
| | - Hugh Watkins
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, England
- Oxford Biomedical Research Centre and Wellcome Centre for Human Genetics, University of Oxford, Oxford, England
| | - Henrik K. Jensen
- Member of the European Reference Network for Rare, Low Prevalence, and Complex Diseases of the Heart (ERN GUARD-Heart)
- Department of Cardiology, Aarhus University Hospital, Aarhus N, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus C, Denmark
| | - Pieter G. Postema
- Member of the European Reference Network for Rare, Low Prevalence, and Complex Diseases of the Heart (ERN GUARD-Heart)
- Department of Clinical Cardiology, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
- Heart Failure and Arrhythmias, Amsterdam Cardiovascular Sciences, Amsterdam, the Netherlands
| | - Bernard Belhassen
- Tel Aviv University, Tel Aviv, Israel
- Heart Institute, Hadassah University Hospital, Jerusalem, Israel
| | - S. R. Wayne Chen
- Libin Cardiovascular Institute, Department of Physiology and Pharmacology, University of Calgary, Calgary, Alberta, Canada
| | - Jason D. Roberts
- Section of Cardiac Electrophysiology, Division of Cardiology, Department of Medicine, Hamilton Health Sciences and McMaster University, Hamilton, Ontario, Canada
- Population Health Research Institute, Hamilton Health Sciences, Hamilton, Ontario, Canada
| |
Collapse
|
4
|
Poulin JM, Bigford GE, Lanctôt KL, Giacobbe P, Schaffer A, Sinyor M, Rabin JS, Masellis M, Singnurkar A, Pople CB, Lipsman N, Husain MI, Rosenblat JD, Cao X, MacIntosh BJ, Nestor SM. Engaging Mood Brain Circuits with Psilocybin (EMBRACE): a study protocol for a randomized, placebo-controlled and delayed-start, neuroimaging trial in depression. Trials 2024; 25:441. [PMID: 38956594 PMCID: PMC11221029 DOI: 10.1186/s13063-024-08268-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Accepted: 06/18/2024] [Indexed: 07/04/2024] Open
Abstract
BACKGROUND Major depressive disorder (MDD) is a leading cause of disability worldwide across domains of health and cognition, affecting overall quality of life. Approximately one third of individuals with depression do not fully respond to treatments (e.g., conventional antidepressants, psychotherapy) and alternative strategies are needed. Recent early phase trials suggest psilocybin may be a safe and efficacious intervention with rapid-acting antidepressant properties. Psilocybin is thought to exert therapeutic benefits by altering brain network connectivity and inducing neuroplastic changes that endure for weeks post-treatment. Although early clinical results are encouraging, psilocybin's acute neurobiological effects on neuroplasticity have not been fully investigated. We aim to examine for the first time how psilocybin acutely (intraday) and subacutely (weeks) alters functional brain networks implicated in depression. METHODS Fifty participants diagnosed with MDD or persistent depressive disorder (PDD) will be recruited from a tertiary mood disorders clinic and undergo 1:1 randomization into either an experimental or control arm. Participants will be given either 25 mg psilocybin or 25 mg microcrystalline cellulose (MCC) placebo for the first treatment. Three weeks later, those in the control arm will transition to receiving 25 mg psilocybin. We will investigate whether treatments are associated with changes in arterial spin labelling and blood oxygenation level-dependent contrast neuroimaging assessments at acute and subacute timepoints. Primary outcomes include testing whether psilocybin demonstrates acute changes in (1) cerebral blood flow and (2) functional brain activity in networks associated with mood regulation and depression when compared to placebo, along with changes in MADRS score over time compared to placebo. Secondary outcomes include changes across complementary clinical psychiatric, cognitive, and functional scales from baseline to final follow-up. Serum peripheral neurotrophic and inflammatory biomarkers will be collected at baseline and follow-up to examine relationships with clinical response, and neuroimaging measures. DISCUSSION This study will investigate the acute and additive subacute neuroplastic effects of psilocybin on brain networks affected by depression using advanced serial neuroimaging methods. Results will improve our understanding of psilocybin's antidepressant mechanisms versus placebo response and whether biological measures of brain function can provide early predictors of treatment response. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT06072898. Registered on 6 October 2023.
Collapse
Affiliation(s)
- Joshua M Poulin
- Hurvitz Brain Sciences Program, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
| | - Gregory E Bigford
- Department of Neurological Surgery, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Krista L Lanctôt
- Hurvitz Brain Sciences Program, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
- Department of Pharmacology and Toxicology, University of Toronto, Toronto, ON, Canada
| | - Peter Giacobbe
- Hurvitz Brain Sciences Program, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
- Harquail Centre for Neuromodulation, Hurvitz Brain Sciences Program, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Ayal Schaffer
- Hurvitz Brain Sciences Program, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Mark Sinyor
- Hurvitz Brain Sciences Program, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Jennifer S Rabin
- Harquail Centre for Neuromodulation, Hurvitz Brain Sciences Program, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
- Division of Neurology, Department of Medicine, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada
- Rehabilitation Sciences Institute, University of Toronto, Toronto, ON, Canada
| | - Mario Masellis
- Hurvitz Brain Sciences Program, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
- Division of Neurology, Department of Medicine, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada
| | - Amit Singnurkar
- Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada
| | - Christopher B Pople
- Harquail Centre for Neuromodulation, Hurvitz Brain Sciences Program, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Nir Lipsman
- Hurvitz Brain Sciences Program, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
- Harquail Centre for Neuromodulation, Hurvitz Brain Sciences Program, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
- Division of Neurosurgery, Department of Surgery, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada
| | - Muhammad I Husain
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Joshua D Rosenblat
- Mood Disorders Psychopharmacology Unit, Poul Hansen Family Centre for Depression, Toronto Western Hospital, University Health Network, Toronto, ON, Canada
| | - Xingshan Cao
- Research Design and Biostatistics, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Bradley J MacIntosh
- Hurvitz Brain Sciences Program, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
- Dr. Sandra Black Centre for Brain Resilience and Recovery, Toronto, ON, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
| | - Sean M Nestor
- Hurvitz Brain Sciences Program, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.
- Harquail Centre for Neuromodulation, Hurvitz Brain Sciences Program, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada.
| |
Collapse
|
5
|
Baker MB, Binda DD, Nozari A, Baker WE. The Silent Threat of Hypokalemia after High Voltage Electrical Injuries: A Case Study and Review of the Literature. J Clin Med 2024; 13:2852. [PMID: 38792394 PMCID: PMC11122100 DOI: 10.3390/jcm13102852] [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: 04/06/2024] [Revised: 05/03/2024] [Accepted: 05/10/2024] [Indexed: 05/26/2024] Open
Abstract
High-voltage electrical injuries, especially from lightning strikes, can cause life-threatening complications due to extreme temperature and voltage exposure. While burns and cardiac complications have been widely described, the documentation of metabolic imbalances, particularly hypokalemia, has not been as prevalent. This report focuses on a patient with profound transient hypokalemia following a lightning strike, alongside a review of three similar cases of transient hypokalemia from the literature. Our patient, a previously healthy young man, was struck by lightning and subsequently suffered transient hypokalemia with lower extremity sensory changes, which resolved after the normalization of serum potassium levels. While the exact underlying mechanisms of transient hypokalemia following high-voltage electrical injuries are unknown, we propose a multifactorial mechanism, which includes massive intracellular shifts of potassium due to elevated epinephrine levels and the prevention of potassium efflux through the electrical disruption of voltage-gated potassium channels. Our report underscores the importance of recognizing hypokalemia in patients with high-voltage electrical injuries and contributes to the understanding of the complex mechanisms involved. Further research is necessary to understand the connection between cellular changes induced by high-voltage exposure and their effects on metabolism, particularly in relation to hypokalemia.
Collapse
Affiliation(s)
- Maxwell B. Baker
- Department of Anesthesiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA; (M.B.B.); (D.D.B.)
| | - Dhanesh D. Binda
- Department of Anesthesiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA; (M.B.B.); (D.D.B.)
| | - Ala Nozari
- Department of Anesthesiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA; (M.B.B.); (D.D.B.)
| | - William E. Baker
- Department of Emergency Medicine, University of Vermont Robert Larner College of Medicine, Burlington, VT 05401, USA;
| |
Collapse
|
6
|
Gelman I, Sharma N, Mckeeman O, Lee P, Campagna N, Tomei N, Baranchuk A, Zhang S, El-Diasty M. The ion channel basis of pharmacological effects of amiodarone on myocardial electrophysiological properties, a comprehensive review. Biomed Pharmacother 2024; 174:116513. [PMID: 38565056 DOI: 10.1016/j.biopha.2024.116513] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Accepted: 03/28/2024] [Indexed: 04/04/2024] Open
Abstract
Amiodarone is a benzofuran-based class III antiarrhythmic agent frequently used for the treatment of atrial and ventricular arrhythmias. The primary target of class III antiarrhythmic drugs is the cardiac human ether-a-go-go-related gene (hERG) encoded channel, KCNH2, commonly known as HERG, that conducts the rapidly activating delayed rectifier potassium current (IKr). Like other class III antiarrhythmic drugs, amiodarone exerts its physiologic effects mainly through IKr blockade, delaying the repolarization phase of the action potential and extending the effective refractory period. However, while many class III antiarrhythmics, including sotalol and dofetilide, can cause long QT syndrome (LQTS) that can progress to torsade de pointes, amiodarone displays less risk of inducing this fatal arrhythmia. This review article discusses the arrhythmogenesis in LQTS from the aspects of the development of early afterdepolarizations (EADs) associated with Ca2+ current, transmural dispersion of repolarization (TDR), as well as reverse use dependence associated with class III antiarrhythmic drugs to highlight electropharmacological effects of amiodarone on the myocardium.
Collapse
Affiliation(s)
- Illia Gelman
- Department of Biomedical and Molecular Sciences, Queens's University, Kingston, ON, Canada
| | - Neelakshi Sharma
- Department of Biomedical and Molecular Sciences, Queens's University, Kingston, ON, Canada
| | - Olivia Mckeeman
- Department of Biomedical and Molecular Sciences, Queens's University, Kingston, ON, Canada
| | - Peter Lee
- Division of Cardiology, Department of Medicine, Queen's University, Kingston, ON, Canada
| | - Noah Campagna
- Department of Biomedical and Molecular Sciences, Queens's University, Kingston, ON, Canada
| | - Nicole Tomei
- Department of Biomedical and Molecular Sciences, Queens's University, Kingston, ON, Canada
| | - Adrian Baranchuk
- Division of Cardiology, Department of Medicine, Queen's University, Kingston, ON, Canada
| | - Shetuan Zhang
- Department of Biomedical and Molecular Sciences, Queens's University, Kingston, ON, Canada.
| | - Mohammad El-Diasty
- Department of Biomedical and Molecular Sciences, Queens's University, Kingston, ON, Canada; Harrington Heart and Vascular Institute, Department of Cardiac Surgery, University Hospitals Cleveland Medical Center, Cleveland, Ohio 44106, United States.
| |
Collapse
|
7
|
Lele AV, Liu J, Kunapaisal T, Chaikittisilpa N, Kiatchai T, Meno MK, Assad OR, Pham J, Fong CT, Walters AM, Nandate K, Chowdhury T, Krishnamoorthy V, Vavilala MS, Kwon Y. Early Cardiac Evaluation, Abnormal Test Results, and Associations with Outcomes in Patients with Acute Brain Injury Admitted to a Neurocritical Care Unit. J Clin Med 2024; 13:2526. [PMID: 38731055 PMCID: PMC11084203 DOI: 10.3390/jcm13092526] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2024] [Revised: 04/17/2024] [Accepted: 04/23/2024] [Indexed: 05/13/2024] Open
Abstract
Background: to examine factors associated with cardiac evaluation and associations between cardiac test abnormalities and clinical outcomes in patients with acute brain injury (ABI) due to acute ischemic stroke (AIS), spontaneous subarachnoid hemorrhage (SAH), spontaneous intracerebral hemorrhage (sICH), and traumatic brain injury (TBI) requiring neurocritical care. Methods: In a cohort of patients ≥18 years, we examined the utilization of electrocardiography (ECG), beta-natriuretic peptide (BNP), cardiac troponin (cTnI), and transthoracic echocardiography (TTE). We investigated the association between cTnI, BNP, sex-adjusted prolonged QTc interval, low ejection fraction (EF < 40%), all-cause mortality, death by neurologic criteria (DNC), transition to comfort measures only (CMO), and hospital discharge to home using univariable and multivariable analysis (adjusted for age, sex, race/ethnicity, insurance carrier, pre-admission cardiac disorder, ABI type, admission Glasgow Coma Scale Score, mechanical ventilation, and intracranial pressure [ICP] monitoring). Results: The final sample comprised 11,822 patients: AIS (46.7%), sICH (18.5%), SAH (14.8%), and TBI (20.0%). A total of 63% (n = 7472) received cardiac workup, which increased over nine years (p < 0.001). A cardiac investigation was associated with increased age, male sex (aOR 1.16 [1.07, 1.27]), non-white ethnicity (aOR), non-commercial insurance (aOR 1.21 [1.09, 1.33]), pre-admission cardiac disorder (aOR 1.21 [1.09, 1.34]), mechanical ventilation (aOR1.78 [1.57, 2.02]) and ICP monitoring (aOR1.68 [1.49, 1.89]). Compared to AIS, sICH (aOR 0.25 [0.22, 0.29]), SAH (aOR 0.36 [0.30, 0.43]), and TBI (aOR 0.19 [0.17, 0.24]) patients were less likely to receive cardiac investigation. Patients with troponin 25th-50th quartile (aOR 1.65 [1.10-2.47]), troponin 50th-75th quartile (aOR 1.79 [1.22-2.63]), troponin >75th quartile (aOR 2.18 [1.49-3.17]), BNP 50th-75th quartile (aOR 2.86 [1.28-6.40]), BNP >75th quartile (aOR 4.54 [2.09-9.85]), prolonged QTc (aOR 3.41 [2.28; 5.30]), and EF < 40% (aOR 2.47 [1.07; 5.14]) were more likely to be DNC. Patients with troponin 50th-75th quartile (aOR 1.77 [1.14-2.73]), troponin >75th quartile (aOR 1.81 [1.18-2.78]), and prolonged QTc (aOR 1.71 [1.39; 2.12]) were more likely to be associated with a transition to CMO. Patients with prolonged QTc (aOR 0.66 [0.58; 0.76]) were less likely to be discharged home. Conclusions: This large, single-center study demonstrates low rates of cardiac evaluations in TBI, SAH, and sICH compared to AIS. However, there are strong associations between electrocardiography, biomarkers of cardiac injury and heart failure, and echocardiography findings on clinical outcomes in patients with ABI. Findings need validation in a multicenter cohort.
Collapse
Affiliation(s)
- Abhijit V. Lele
- Department of Anesthesiology and Pain Medicine, Harborview Medical Center, University of Washington, Seattle, WA 98104, USA; (C.T.F.); (A.M.W.); (K.N.); (M.S.V.)
| | - Jeffery Liu
- Department of Biosciences, Wiess School of Natural Sciences, Rice University, Houston, TX 77005, USA;
| | - Thitikan Kunapaisal
- Department of Anesthesiology, Faculty of Medicine, Prince of Songkla University, Hat-Yai 90110, Thailand;
| | - Nophanan Chaikittisilpa
- Department of Anesthesiology, Siriraj Hospital, Mahidol University, Bangkok 73170, Thailand; (N.C.); (T.K.)
| | - Taniga Kiatchai
- Department of Anesthesiology, Siriraj Hospital, Mahidol University, Bangkok 73170, Thailand; (N.C.); (T.K.)
| | - Michael K. Meno
- Department of Medicine, University of Washington, Seattle, WA 98104, USA; (M.K.M.); (O.R.A.); (J.P.)
| | - Osayd R. Assad
- Department of Medicine, University of Washington, Seattle, WA 98104, USA; (M.K.M.); (O.R.A.); (J.P.)
| | - Julie Pham
- Department of Medicine, University of Washington, Seattle, WA 98104, USA; (M.K.M.); (O.R.A.); (J.P.)
| | - Christine T. Fong
- Department of Anesthesiology and Pain Medicine, Harborview Medical Center, University of Washington, Seattle, WA 98104, USA; (C.T.F.); (A.M.W.); (K.N.); (M.S.V.)
| | - Andrew M. Walters
- Department of Anesthesiology and Pain Medicine, Harborview Medical Center, University of Washington, Seattle, WA 98104, USA; (C.T.F.); (A.M.W.); (K.N.); (M.S.V.)
| | - Koichiro Nandate
- Department of Anesthesiology and Pain Medicine, Harborview Medical Center, University of Washington, Seattle, WA 98104, USA; (C.T.F.); (A.M.W.); (K.N.); (M.S.V.)
| | - Tumul Chowdhury
- Department of Anesthesiology and Pain Medicine, Toronto Western Hospital, University of Toronto, Toronto, ON M5S 1A1, Canada;
| | | | - Monica S. Vavilala
- Department of Anesthesiology and Pain Medicine, Harborview Medical Center, University of Washington, Seattle, WA 98104, USA; (C.T.F.); (A.M.W.); (K.N.); (M.S.V.)
| | - Younghoon Kwon
- Department of Cardiology, Harborview Medical Center, University of Washington, Seattle, WA 98104, USA;
| |
Collapse
|
8
|
Bilikundi P, Alphonce B, Nyundo A, Meda JR. Predictors and outcomes of cardiac dyssynchrony among patients with heart failure attending Benjamin Mkapa Hospital in Dodoma, central Tanzania: A protocol of prospective-longitudinal study. PLoS One 2023; 18:e0287813. [PMID: 37976266 PMCID: PMC10655995 DOI: 10.1371/journal.pone.0287813] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Accepted: 10/26/2023] [Indexed: 11/19/2023] Open
Abstract
INTRODUCTION Cardiac Dyssynchrony is prevalent among patients with heart failure with high cost of care and potentially poor outcomes. Nevertheless, little is known about cardiac dyssynchrony among heart failure patients, especially in developing countries. This study aims at assessing the predictors and outcomes of cardiac dyssynchrony among heart failure patients attending the cardiology department at Benjamin Mkapa Referral Hospital in Dodoma, central Tanzania. METHODS The study will follow a prospective longitudinal design involving participants aged 18 years and above with heart failure attending the Cardiology Department at Benjamin Mkapa Hospital. Heart failure will be identified based on Framingham's score and patients will be enrolled and followed up for six months. Baseline socio-demographic and clinical characteristics will be taken during enrollment. Outcomes of interest at six months include worsening of heart failure, readmission and death. Continuous data will be summarized as Mean (SD) or Median (IQR), and categorical data will be summarized using proportions and frequencies. Binary logistic regression will be used to determine predictors and outcomes of Cardiac Dyssynchrony among patients with heart failure.
Collapse
Affiliation(s)
- Patrick Bilikundi
- Department of Internal Medicine, School of Medicine & Dentistry, The University Dodoma, Dodoma, Tanzania
- Department of Cardiology, The Benjamin Mkapa Hospital, Dodoma, Tanzania
| | - Baraka Alphonce
- Department of Internal Medicine, School of Medicine & Dentistry, The University Dodoma, Dodoma, Tanzania
| | - Azan Nyundo
- Department of Internal Medicine, School of Medicine & Dentistry, The University Dodoma, Dodoma, Tanzania
- Department of Psychiatry and Mental Health, School of Medicine and Dentistry, The University of Dodoma, Dodoma, Tanzania
- Mirembe National Mental Hospital, Dodoma, Tanzania
| | - John Robson Meda
- Department of Internal Medicine, School of Medicine & Dentistry, The University Dodoma, Dodoma, Tanzania
- Department of Cardiology, The Benjamin Mkapa Hospital, Dodoma, Tanzania
| |
Collapse
|
9
|
Jahangiri S, Abdiardekani A, Jamshidi S, Askarinejad A, Mosalamiaghili S, Bazrafshan M, Karimi M, Bazrafshan H, Bazrafshan drissi H. Electrocardiographic characteristics of cirrhotic patients and their association with Child-Pugh score. Clin Cardiol 2023; 46:967-972. [PMID: 37436825 PMCID: PMC10436787 DOI: 10.1002/clc.24089] [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] [Received: 05/08/2023] [Accepted: 06/30/2023] [Indexed: 07/13/2023] Open
Abstract
BACKGROUND Cardiac dysfunction is a serious complication of cirrhosis which is usually asymptomatic. We investigated the clinical and electrocardiographic (ECG)-related factors among patients with cirrhosis and our aim was to find any associations between ECG changes and the etiology of cirrhosis, as well as Child-Pugh score. HYPOTHESIS We hypothesized that some ECG-related factors, particularly prolonged QT interval, are more common in patients with cirrhosis. Also, these factors are associated with the severity of cirrhosis, measured by the Child-Pugh score. METHODS From April 2019 to December 2022, we reviewed admitted patients to Namazi and Abu-Ali Sina hospitals, Shiraz, Iran. Patients with confirmed diagnosis of cirrhosis and without concurrent disorders affecting the cardiovascular system were selected. Clinical and ECG-related data were then extracted for participants, and Child-Pugh score was calculated. RESULTS A total of 425 patients were included; the median age was 36 years, and 245 patients (57.6%) were men. Cryptogenic and primary sclerosing cholangitis were the most common etiologies. Prolonged QT followed by early transitional zone were the most common ECG changes (24.7% and 19.8%, respectively), which were significantly associated with the etiology of cirrhosis and Child-Pugh class. CONCLUSIONS Prolonged QT interval and presence of early transitional zone in patients with cirrhosis may indicate cardiac dysfunction, necessitating further evaluations.
Collapse
Affiliation(s)
- Soodeh Jahangiri
- Endocrine Research Center, Institute of Endocrinology and MetabolismIran University of Medical SciencesTehranIran
- Cardiovascular Research CenterShiraz University of Medical SciencesShirazIran
| | - Alireza Abdiardekani
- Cardiovascular Research CenterShiraz University of Medical SciencesShirazIran
- Department of Cardiology, Abu‐Ali Sina Charity HospitalShiraz University of Medical SciencesShirazIran
| | - Saideh Jamshidi
- Cardiovascular Research CenterShiraz University of Medical SciencesShirazIran
| | - Amir Askarinejad
- Rajaie Cardiovascular Medical and Research CenterIran University of Medical SciencesTehranIran
| | | | - Mehdi Bazrafshan
- Cardiovascular Research CenterShiraz University of Medical SciencesShirazIran
| | - Mohamadreza Karimi
- Cardiovascular Research CenterShiraz University of Medical SciencesShirazIran
| | - Hanieh Bazrafshan
- Department of Neurology, Clinical Neurology Research CenterShiraz University of Medical SciencesShirazIran
| | | |
Collapse
|
10
|
Alam R, Aguirre AD, Stultz CM. QTNet: Deep Learning for Estimating QT Intervals Using a Single Lead ECG. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2023; 2023:1-4. [PMID: 38261472 DOI: 10.1109/embc40787.2023.10341204] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/25/2024]
Abstract
QT prolongation often leads to fatal arrhythmia and sudden cardiac death. Antiarrhythmic drugs can increase the risk of QT prolongation and therefore require strict post-administration monitoring and dosage control. Measurement of the QT interval from the 12-lead electrocardiogram (ECG) by a trained expert, in a clinical setting, is the accepted method for tracking QT prolongation. Recent advances in wearable ECG technology, however, raise the possibility of automated out-of-hospital QT tracking. Applications of Deep Learning (DL) - a subfield within Machine Learning - in ECG analysis holds the promise of automation for a variety of classification and regression tasks. In this work, we propose a residual neural network, QTNet, for the regression of QT intervals from a single lead (Lead-I) ECG. QTNet is trained in a supervised manner on a large ECG dataset from a U.S. hospital. We demonstrate the robustness and generalizability of QTNet on four test-sets; one from the same hospital, one from another U.S. hospital, and two public datasets. Over all four datasets, the mean absolute error (MAE) in the estimated QT interval ranges between 9ms and 15.8ms. Pearson correlation coefficients vary between 0.899 and 0.914. By contrast, QT interval estimation on these datasets with a standard method for automated ECG analysis (NeuroKit2) yields MAEs between 22.29ms and 90.79ms, and Pearson correlation coefficients 0.345 and 0.620. These results demonstrate the utility of QTNet across distinct datasets and patient populations, thereby highlighting the potential utility of DL models for ubiquitous QT tracking.Clinical Relevance- QTNet can be applied to inpatient or ambulatory Lead-I ECG signals to track QT intervals. The method facilitates ambulatory monitoring of patients at risk of QT prolongation.
Collapse
|
11
|
Tardo DT, Peck M, Subbiah R, Vandenberg JI, Hill AP. The diagnostic role of T wave morphology biomarkers in congenital and acquired long QT syndrome: A systematic review. Ann Noninvasive Electrocardiol 2022; 28:e13015. [PMID: 36345173 PMCID: PMC9833360 DOI: 10.1111/anec.13015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Accepted: 10/12/2022] [Indexed: 11/11/2022] Open
Abstract
INTRODUCTION QTc prolongation is key in diagnosing long QT syndrome (LQTS), however 25%-50% with congenital LQTS (cLQTS) demonstrate a normal resting QTc. T wave morphology (TWM) can distinguish cLQTS subtypes but its role in acquired LQTS (aLQTS) is unclear. METHODS Electronic databases were searched using the terms "LQTS," "long QT syndrome," "QTc prolongation," "prolonged QT," and "T wave," "T wave morphology," "T wave pattern," "T wave biomarkers." Whole text articles assessing TWM, independent of QTc, were included. RESULTS Seventeen studies met criteria. TWM measurements included T-wave amplitude, duration, magnitude, Tpeak-Tend, QTpeak, left and right slope, center of gravity (COG), sigmoidal and polynomial classifiers, repolarizing integral, morphology combination score (MCS) and principal component analysis (PCA); and vectorcardiographic biomarkers. cLQTS were distinguished from controls by sigmoidal and polynomial classifiers, MCS, QTpeak, Tpeak-Tend, left slope; and COG x axis. MCS detected aLQTS more significantly than QTc. Flatness, asymmetry and notching, J-Tpeak; and Tpeak-Tend correlated with QTc in aLQTS. Multichannel block in aLQTS was identified by early repolarization (ERD30% ) and late repolarization (LRD30% ), with ERD reflecting hERG-specific blockade. Cardiac events were predicted in cLQTS by T wave flatness, notching, and inversion in leads II and V5 , left slope in lead V6 ; and COG last 25% in lead I. T wave right slope in lead I and T-roundness achieved this in aLQTS. CONCLUSION Numerous TWM biomarkers which supplement QTc assessment were identified. Their diagnostic capabilities include differentiation of genotypes, identification of concealed LQTS, differentiating aLQTS from cLQTS; and determining multichannel versus hERG channel blockade.
Collapse
Affiliation(s)
- Daniel T. Tardo
- Cardiac Electrophysiology LaboratoryVictor Chang Cardiac Research InstituteDarlinghurstNew South WalesAustralia,Department of CardiologySt. Vincent's HospitalDarlinghurstNew South WalesAustralia,School of MedicineUniversity of Notre Dame AustraliaDarlinghurstNew South WalesAustralia
| | - Matthew Peck
- Cardiac Electrophysiology LaboratoryVictor Chang Cardiac Research InstituteDarlinghurstNew South WalesAustralia
| | - Rajesh N. Subbiah
- Cardiac Electrophysiology LaboratoryVictor Chang Cardiac Research InstituteDarlinghurstNew South WalesAustralia,Department of CardiologySt. Vincent's HospitalDarlinghurstNew South WalesAustralia,St. Vincent's Clinical School, Faculty of MedicineUniversity of New South WalesSydneyNew South WalesAustralia
| | - Jamie I. Vandenberg
- Cardiac Electrophysiology LaboratoryVictor Chang Cardiac Research InstituteDarlinghurstNew South WalesAustralia,St. Vincent's Clinical School, Faculty of MedicineUniversity of New South WalesSydneyNew South WalesAustralia
| | - Adam. P. Hill
- Cardiac Electrophysiology LaboratoryVictor Chang Cardiac Research InstituteDarlinghurstNew South WalesAustralia,St. Vincent's Clinical School, Faculty of MedicineUniversity of New South WalesSydneyNew South WalesAustralia
| |
Collapse
|
12
|
Bai Y, Yun M, Nie B, Shan L, Liu W, Hacker M, Nie S, Zhou Y, Li S, Shan B, Zhang X, Li X. Neurometabolism and Ventricular Dyssynchrony in Patients With Heart Failure and Reduced Ejection Fraction. J Am Coll Cardiol 2022; 80:1884-1896. [PMID: 36357089 DOI: 10.1016/j.jacc.2022.08.801] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Revised: 08/23/2022] [Accepted: 08/26/2022] [Indexed: 11/09/2022]
Abstract
BACKGROUND The brain coordinates the heart through the autonomic nervous system (ANS). Numerous mediator signals along the brain-heart axis interact with the neuronal-metabolic system in heart failure (HF). Disturbances in cardio-neural interactions influence the disease progression in patients with HF. OBJECTIVES The purpose of this study was to investigate the interactome between ANS-associated neurometabolism and ventricular dyssynchrony in patients with heart failure with reduced ejection fraction (HFrEF). Further, we studied the association of neurometabolism with major arrhythmic events (MAEs). METHODS A total of 197 patients with HFrEF who underwent gated single-photon emission computed tomography myocardial perfusion imaging and the brain 18F-fluorodeoxyglucose positron emission tomography/computed tomography were prospectively enrolled. Relationships between the brain metabolism and MAEs were assessed using Cox models and mediation analyses. Finally, metabolic central autonomic networks were constructed and statistically compared between patients with and without MAEs. RESULTS In total, 35 (17.8%) patients experienced MAEs during a median follow-up of 3.1 years. In patients with HFrEF (age 58 years [IQR: 50-64 years], left ventricular ejection fraction: 20.0% [IQR: 15.0%-25.0%]), glucose hypometabolism in the insula, hippocampus, amygdala, cingulate gyrus, and caudate nucleus were independent predictors for MAEs (all P < 0.05). Cerebral hypometabolism was related to ventricular dyssynchrony, which was the predominant risk factor of MAEs. Additionally, patients who experienced MAEs presented hypoconnectivity in the metabolic central autonomic network compared with those without MAEs (P < 0.05). CONCLUSIONS We found an interaction of the neuronal metabolic-ventricular dyssynchronization axis in HF, which might be related to MAEs. This new brain-heart axis could expand our understanding of the distinct pathomechanisms of HFrEF.
Collapse
|
13
|
Muacevic A, Adler JR. The Effect of COVID-19 on QTc Prolongation. Cureus 2022; 14:e29863. [PMID: 36204258 PMCID: PMC9528850 DOI: 10.7759/cureus.29863] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/03/2022] [Indexed: 11/10/2022] Open
Abstract
Background The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) uses angiotensin-converting enzyme-2 receptors on host cells to enter the cells. These receptors are expressed on heart muscle tissue and the tissues of other major organs, which supports the primary accepted theory for the direct cardiac cell injury of coronavirus disease 2019 (COVID-19) and the associated cardiorespiratory manifestations. The SARS-CoV-2 infection leads to unstable myocardial cell membranes due to hypoxia, myocarditis, myocardial ischemia, and abnormal host immune response. This is the main reason behind arrhythmia and electrocardiogram (ECG) changes during COVID-19. However, the specific effect on QTc has not been studied well. Therefore, this study aimed to examine the association between COVID-19 and QTc changes. Methodology We conducted an observational, retrospective review of hospital medical records of 320 adult participants diagnosed with COVID-19 at our facility. After applying the exclusion criteria, 130 participants were included and distributed into two groups. One group had long QTc, and one group had normal QTc. Data were collected and recorded using Microsoft Excel. We used SPSS Statistics for Windows, Version 20.0. (IBM Corp., Armonk, NY, USA) to analyze the data. Student's t-tests were performed for independent groups. Quantitative data were summarized using mean and standard deviation. Statistical significance was taken as p < 0.05. Results A total of 63 (48.4%) participants met the criteria for long QTc, and 67 (51.5%) participants had normal QTc (p < 0.001). There was no statistically significant difference in mortality outcomes between long QTc and normal QTc (0.8% vs. 3.8%, respectively; p = 0.21). Conclusions This study aimed to examine the association between COVID-19 and QTc changes. Nearly half of the participants had an increased QTc with COVID-19, and QTc length was not associated with mortality outcomes. Our results indicate that COVID-19 is an independent risk factor for QTc prolongation on ECG. Identifying COVID-19 as an independent risk factor for QTc prolongation is a clinically significant finding, and physicians should consider this when treating cardiac patients and possible COVID-19-positive patients.
Collapse
|
14
|
Nauffal V, Morrill VN, Jurgens SJ, Choi SH, Hall AW, Weng LC, Halford JL, Austin-Tse C, Haggerty CM, Harris SL, Wong EK, Alonso A, Arking DE, Benjamin EJ, Boerwinkle E, Min YI, Correa A, Fornwalt BK, Heckbert SR, Kooperberg C, Lin HJ, J F Loos R, Rice KM, Gupta N, Blackwell TW, Mitchell BD, Morrison AC, Psaty BM, Post WS, Redline S, Rehm HL, Rich SS, Rotter JI, Soliman EZ, Sotoodehnia N, Lunetta KL, Ellinor PT, Lubitz SA. Monogenic and Polygenic Contributions to QTc Prolongation in the Population. Circulation 2022; 145:1524-1533. [PMID: 35389749 PMCID: PMC9117504 DOI: 10.1161/circulationaha.121.057261] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Rare sequence variation in genes underlying cardiac repolarization and common polygenic variation influence QT interval duration. However, current clinical genetic testing of individuals with unexplained QT prolongation is restricted to examination of monogenic rare variants. The recent emergence of large-scale biorepositories with sequence data enables examination of the joint contribution of rare and common variations to the QT interval in the population. METHODS We performed a genome-wide association study of the QTc in 84 630 UK Biobank participants and created a polygenic risk score (PRS). Among 26 976 participants with whole-genome sequencing and ECG data in the TOPMed (Trans-Omics for Precision Medicine) program, we identified 160 carriers of putative pathogenic rare variants in 10 genes known to be associated with the QT interval. We examined QTc associations with the PRS and with rare variants in TOPMed. RESULTS Fifty-four independent loci were identified by genome-wide association study in the UK Biobank. Twenty-one loci were novel, of which 12 were replicated in TOPMed. The PRS composed of 1 110 494 common variants was significantly associated with the QTc in TOPMed (ΔQTc/decile of PRS=1.4 ms [95% CI, 1.3 to 1.5]; P=1.1×10-196). Carriers of putative pathogenic rare variants had longer QTc than noncarriers (ΔQTc=10.9 ms [95% CI, 7.4 to 14.4]). Of individuals with QTc>480 ms, 23.7% carried either a monogenic rare variant or had a PRS in the top decile (3.4% monogenic, 21% top decile of PRS). CONCLUSIONS QTc duration in the population is influenced by both rare variants in genes underlying cardiac repolarization and polygenic risk, with a sizeable contribution from polygenic risk. Comprehensive assessment of the genetic determinants of QTc prolongation includes incorporation of both polygenic and monogenic risk.
Collapse
Affiliation(s)
- Victor Nauffal
- Division of Cardiovascular Medicine (V.N.), Brigham and Women's Hospital, Boston, MA
- Cardiovascular Disease Initiative (V.N., V.N.M., S.J.J., S.H.C., L.-C.W., J.L.H., P.T.E., S.A.L.), Broad Institute, Cambridge, MA
| | - Valerie N Morrill
- Cardiovascular Disease Initiative (V.N., V.N.M., S.J.J., S.H.C., L.-C.W., J.L.H., P.T.E., S.A.L.), Broad Institute, Cambridge, MA
| | - Sean J Jurgens
- Cardiovascular Disease Initiative (V.N., V.N.M., S.J.J., S.H.C., L.-C.W., J.L.H., P.T.E., S.A.L.), Broad Institute, Cambridge, MA
- Department of Experimental Cardiology, Amsterdam University Medical Centers, The Netherlands (S.J.J.)
- Program in Medical and Population Genetics, Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge (N.G., S.J.J., S.H.C., L.C.W., J.L.H., C.A.T., H.L.R., P.T.E., S.A.L.)
| | - Seung Hoan Choi
- Cardiovascular Disease Initiative (V.N., V.N.M., S.J.J., S.H.C., L.-C.W., J.L.H., P.T.E., S.A.L.), Broad Institute, Cambridge, MA
- Program in Medical and Population Genetics, Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge (N.G., S.J.J., S.H.C., L.C.W., J.L.H., C.A.T., H.L.R., P.T.E., S.A.L.)
| | - Amelia W Hall
- Gene Regulation Observatory (A.W.H.), Broad Institute, Cambridge, MA
| | - Lu-Chen Weng
- Cardiovascular Disease Initiative (V.N., V.N.M., S.J.J., S.H.C., L.-C.W., J.L.H., P.T.E., S.A.L.), Broad Institute, Cambridge, MA
- Program in Medical and Population Genetics, Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge (N.G., S.J.J., S.H.C., L.C.W., J.L.H., C.A.T., H.L.R., P.T.E., S.A.L.)
| | - Jennifer L Halford
- Cardiovascular Disease Initiative (V.N., V.N.M., S.J.J., S.H.C., L.-C.W., J.L.H., P.T.E., S.A.L.), Broad Institute, Cambridge, MA
- Program in Medical and Population Genetics, Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge (N.G., S.J.J., S.H.C., L.C.W., J.L.H., C.A.T., H.L.R., P.T.E., S.A.L.)
| | - Christina Austin-Tse
- Center for Genomic Medicine (C.A.-T., H.L.R.), Massachusetts General Hospital, Boston
- Program in Medical and Population Genetics, Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge (N.G., S.J.J., S.H.C., L.C.W., J.L.H., C.A.T., H.L.R., P.T.E., S.A.L.)
| | - Christopher M Haggerty
- Department of Translational Data Science and Informatics, Geisinger, Danville, PA (C.M.H., B.K.F.)
| | - Stephanie L Harris
- Cardiovascular Genetics Program (S.L.H., E.K.W.), Massachusetts General Hospital, Boston
| | - Eugene K Wong
- Cardiovascular Genetics Program (S.L.H., E.K.W.), Massachusetts General Hospital, Boston
| | - Alvaro Alonso
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA (A.A.)
| | - Dan E Arking
- McKusick-Nathans Institute, Department of Genetic Medicine (D.E.A.), Johns Hopkins University School of Medicine, Baltimore, MD
| | - Emelia J Benjamin
- Boston University School of Public Health, MA (E.J.B., K.L.L.)
- Boston University School of Medicine, MA (E.J.B.)
| | - Eric Boerwinkle
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston (E.B., A.C.M.)
| | - Yuan-I Min
- Department of Medicine, University of Mississippi Medical Center, Jackson (Y.-I.M., A.C.)
| | - Adolfo Correa
- Department of Medicine, University of Mississippi Medical Center, Jackson (Y.-I.M., A.C.)
| | - Brandon K Fornwalt
- Department of Translational Data Science and Informatics, Geisinger, Danville, PA (C.M.H., B.K.F.)
| | - Susan R Heckbert
- Cardiovascular Health Research Unit and Department of Epidemiology (S.R.H.)
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA (C.K.)
| | - Henry J Lin
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Lundquist Institute for Biomedical Innovation at Harbor-University of California-Los Angeles Medical Center, Torrance (H.J.L., J.I.R.)
| | - Ruth J F Loos
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York (R.J.F.L.)
| | | | - Namrata Gupta
- Program in Medical and Population Genetics, Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge (N.G., S.J.J., S.H.C., L.C.W., J.L.H., C.A.T., H.L.R., P.T.E., S.A.L.)
| | - Thomas W Blackwell
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor (T.W.B.)
| | - Braxton D Mitchell
- Division of Endocrinology, Diabetes and Nutrition, University of Maryland School of Medicine, Baltimore (B.D.M.)
| | - Alanna C Morrison
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston (E.B., A.C.M.)
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Departments of Medicine, Epidemiology and Health Systems and Population Health, University of Washington, Seattle, WA (B.M.P.)
| | - Wendy S Post
- Division of Cardiology, Department of Medicine (W.S.P.), Johns Hopkins University School of Medicine, Baltimore, MD
| | - Susan Redline
- Harvard Medical School (S.R.), Brigham and Women's Hospital, Boston, MA
| | - Heidi L Rehm
- Center for Genomic Medicine (C.A.-T., H.L.R.), Massachusetts General Hospital, Boston
- Program in Medical and Population Genetics, Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge (N.G., S.J.J., S.H.C., L.C.W., J.L.H., C.A.T., H.L.R., P.T.E., S.A.L.)
| | - Stephen S Rich
- Center for Public Health Genomics and Department of Public Health Sciences, University of Virginia, Charlottesville (S.S.R.)
| | - Jerome I Rotter
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Lundquist Institute for Biomedical Innovation at Harbor-University of California-Los Angeles Medical Center, Torrance (H.J.L., J.I.R.)
| | - Elsayed Z Soliman
- Epidemiological Cardiology Research Center, Wake Forest School of Medicine, Winston-Salem, NC (E.Z.S.)
| | - Nona Sotoodehnia
- Cardiovascular Health Research Unit, Departments of Medicine, Epidemiology, Cardiology, University of Washington, Seattle, WA (N.S.)
| | | | - Patrick T Ellinor
- Cardiovascular Disease Initiative (V.N., V.N.M., S.J.J., S.H.C., L.-C.W., J.L.H., P.T.E., S.A.L.), Broad Institute, Cambridge, MA
- Cardiac Arrhythmia Service and Cardiovascular Research Center (P.T.E., S.A.L.), Massachusetts General Hospital, Boston
- Program in Medical and Population Genetics, Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge (N.G., S.J.J., S.H.C., L.C.W., J.L.H., C.A.T., H.L.R., P.T.E., S.A.L.)
| | - Steven A Lubitz
- Cardiovascular Disease Initiative (V.N., V.N.M., S.J.J., S.H.C., L.-C.W., J.L.H., P.T.E., S.A.L.), Broad Institute, Cambridge, MA
- Cardiac Arrhythmia Service and Cardiovascular Research Center (P.T.E., S.A.L.), Massachusetts General Hospital, Boston
- Program in Medical and Population Genetics, Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge (N.G., S.J.J., S.H.C., L.C.W., J.L.H., C.A.T., H.L.R., P.T.E., S.A.L.)
| |
Collapse
|
15
|
Implementation of a fully remote randomized clinical trial with cardiac monitoring. COMMUNICATIONS MEDICINE 2021; 1:62. [PMID: 35604806 PMCID: PMC9053200 DOI: 10.1038/s43856-021-00052-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Accepted: 11/01/2021] [Indexed: 11/08/2022] Open
Abstract
Abstract
Background
The coronavirus disease 2019 (COVID-19) pandemic has challenged researchers performing clinical trials to develop innovative approaches to mitigate infectious risk while maintaining rigorous safety monitoring.
Methods
In this report we describe the implementation of a novel exclusively remote randomized clinical trial (ClinicalTrials.gov NCT04354428) of hydroxychloroquine and azithromycin for the treatment of the SARS-CoV-2–mediated COVID-19 disease which included cardiovascular safety monitoring. All study activities were conducted remotely. Self-collected vital signs (temperature, respiratory rate, heart rate, and oxygen saturation) and electrocardiographic (ECG) measurements were transmitted digitally to investigators while mid-nasal swabs for SARS-CoV-2 testing were shipped. ECG collection relied on a consumer device (KardiaMobile 6L, AliveCor Inc.) that recorded and transmitted six-lead ECGs via participants’ internet-enabled devices to a central core laboratory, which measured and reported QTc intervals that were then used to monitor safety.
Results
Two hundred and thirty-one participants uploaded 3245 ECGs. Mean daily adherence to the ECG protocol was 85.2% and was similar to the survey and mid-nasal swab elements of the study. Adherence rates did not differ by age or sex assigned at birth and were high across all reported race and ethnicities. QTc prolongation meeting criteria for an adverse event occurred in 28 (12.1%) participants, with 2 occurring in the placebo group, 19 in the hydroxychloroquine group, and 7 in the hydroxychloroquine + azithromycin group.
Conclusions
Our report demonstrates that digital health technologies can be leveraged to conduct rigorous, safe, and entirely remote clinical trials.
Collapse
|
16
|
Mangona E, Sandonato E, Brothers TN, Pawasauskas J. Drug-Induced QTc Prolongation: What We Know and Where We Are Going. Curr Drug Saf 2021; 17:100-113. [PMID: 34551700 DOI: 10.2174/1574886316666210922153059] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Revised: 06/17/2021] [Accepted: 08/29/2021] [Indexed: 11/22/2022]
Abstract
Drug-induced QTc prolongation is a concerning electrocardiogram (ECG) abnormality. This cardiac disturbance carries a 10% risk of sudden cardiac death due to the malignant arrhythmia, Torsades de Pointes. The Arizona Center for Education and Research on Therapeutics (AzCERT) has classified QTc prolonging therapeutic classes such as antiarrhythmics, antipsychotics, anti-infectives, and others. AzCERT criteria categorizes medications into three risk categories: "known," "possible," and "conditional risk" of QTc prolongation and Torsades de Pointes. The list of QTc prolonging medications continues to expand as new drug classes are approved and studied. Risk factors for QTc prolongation can be delineated into modifiable or non-modifiable. A validated risk scoring tool may be utilized to predict the likelihood of prolongation in patients receiving AzCERT classified medication. The resultant risk score may be applied to a clinical decision support system which offers mitigation strategies. Mitigation strategies including discontinuation of possible offending agents with selection of an alternative agent, assessment of potential drug interactions or dose adjustments through pharmacokinetic and pharmacodynamic monitoring, and initiation of both ECG and electrolyte monitoring are essential to prevent a drug-induced arrhythmia. The challenges presented by the COVID-19 pandemic have led to the development of innovative continuous monitoring technology, increasing protection for both patients and healthcare workers. Early intervention strategies may reduce adverse events and improve clinical outcomes in patients identified to be at risk of QTc prolongation.
Collapse
Affiliation(s)
- Erinn Mangona
- Department of Pharmacy Practice, University of Rhode Island, Kingston. United States
| | - Elisa Sandonato
- Department of Pharmacy Practice, University of Rhode Island, Kingston. United States
| | - Todd N Brothers
- Department of Pharmacy Practice, University of Rhode Island, Kingston. United States
| | - Jayne Pawasauskas
- Department of Pharmacy Practice, University of Rhode Island, Kingston. United States
| |
Collapse
|
17
|
Guo X, Li Z, Zhou Y, Yu S, Yang H, Sun G, Zheng L, Lee BK, Pletcher MJ, Sun Y. Corrected QT Interval Is Associated With Stroke but Not Coronary Heart Disease: Insights From a General Chinese Population. Front Cardiovasc Med 2021; 8:605774. [PMID: 34368239 PMCID: PMC8333696 DOI: 10.3389/fcvm.2021.605774] [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: 03/22/2021] [Accepted: 06/18/2021] [Indexed: 11/30/2022] Open
Abstract
Background: Prolonged heart rate-corrected QT (QTc) interval has been associated with incident cardiovascular diseases (CVD) in general Western populations. However, this association is unclear in Asian population. We aim to estimate the association between QTc interval and incident CVD in a general Chinese population. Methods: We analyzed 8,867 participants age ≥35 years and free of CVD at baseline in the Northeast China Rural Cardiovascular Health Study. A resting 12-lead electrocardiogram was performed on all participants, and QTc interval computed using the Framingham formula. Cox proportional hazards models were used to calculate hazard ratios (HRs) with 95% confidence intervals (CIs) for associations between QTc interval and incident stroke, coronary heart disease, and combined CVD events. Results: Over a median follow-up of 4.66 years, a total of 439 CVD events occurred (298 stroke cases and 152 CHD cases). After full adjustment, prolonged QTc defined by a sex-specific cutoff was associated with increased risk of developing stroke (HR: 1.82, 95% CI 1.20–2.75, P = 0.004) and combined CVD (HR: 1.52, 95% CI 1.05–2.19, P = 0.026). Spline analyses demonstrated no clear thresholds; when modeled as a linear relationship, each 10 ms increase of QTc interval was associated with an HR of 1.12 (95% CI 1.06–1.19, P < 0.001) for stroke and an HR of 1.10 (95% CI 1.05–1.15, P < 0.001) for combined CVD. Baseline QTc interval was not associated with incident CHD with either modeling strategy. Conclusions: Baseline QTc interval is associated with incident stroke and CVD in adults without prior CVD from a general Chinese population.
Collapse
Affiliation(s)
- Xiaofan Guo
- Department of Cardiology, The First Hospital of China Medical University, Shenyang, China
| | - Zhao Li
- Department of Cardiology, The First Hospital of China Medical University, Shenyang, China
| | - Ying Zhou
- Department of Cardiology, The First Hospital of China Medical University, Shenyang, China
| | - Shasha Yu
- Department of Cardiology, The First Hospital of China Medical University, Shenyang, China
| | - Hongmei Yang
- Department of Cardiology, The First Hospital of China Medical University, Shenyang, China
| | - Guozhe Sun
- Department of Cardiology, The First Hospital of China Medical University, Shenyang, China
| | - Liqiang Zheng
- Department of Clinical Epidemiology, Library, Shengjing Hospital of China Medical University, Shenyang, China
| | - Byron K Lee
- Division of Cardiology, Department of Medicine, University of California, San Francisco, San Francisco, CA, United States
| | - Mark J Pletcher
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, United States
| | - Yingxian Sun
- Department of Cardiology, The First Hospital of China Medical University, Shenyang, China
| |
Collapse
|
18
|
Lenhoff H, Darpö B, Page A, Couderc JP, Tornvall P, Frick M. Diurnal QT analysis in patients with sotalol after cardioversion of atrial fibrillation. Ann Noninvasive Electrocardiol 2021; 26:e12834. [PMID: 33629473 PMCID: PMC8293609 DOI: 10.1111/anec.12834] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Revised: 01/26/2021] [Accepted: 01/29/2021] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND The risk of ventricular arrhythmias in patients on QT prolonging drugs is indicated to be increased early after cardioversion (CV) of atrial fibrillation (AF) to sinus rhythm (SR). Sotalol, used to prevent AF relapse, prolongs cardiac repolarization and corrected QT interval (QTc). A pronounced QTc prolongation is an established marker of pro-arrhythmias. Our objective was to use novel technique to quantify and evaluate the diurnal variation of the QTc interval after elective CV to SR in patients on sotalol or metoprolol. METHODS Fifty patients underwent twelve-lead Holter recording for 24 hr after elective CV for persistent AF. All patients had the highest tolerable stable dose of sotalol (n = 27) or metoprolol (n = 23). Measurements of QT and RR intervals were performed on all valid beats. RESULTS A clear diurnal variation of both HR and QTc was seen in both groups, more pronounced in patients on sotalol, where a high percentage of heartbeats with QTc >500 ms was observed, especially at night. Six patients (22%) on sotalol but none on metoprolol had >20% of all heart beats within the 24-hour recording with QTc >500 ms. CONCLUSION Twenty-four-hour Holter recordings with QT-measurement immediately after CV demonstrated that one in five patients on sotalol had >20% of all heart beats with prolonged QTc >500 ms, especially during night-time. The QTc diurnal variation was retained in patients on β-blockade or a potent class III anti-arrhythmic drug with β-blocking properties.
Collapse
Affiliation(s)
- Hanna Lenhoff
- Division of CardiologyDepartment of Clinical Science and EducationKarolinska InstitutetSouth HospitalStockholmSweden
| | - Börje Darpö
- Department of Clinical SciencesKarolinska InstitutetDanderydSweden
| | - Alex Page
- Clinical Cardiovascular Research CenterUniversity of Rochester Medical CenterRochesterNYUSA
| | - Jean Philippe Couderc
- Clinical Cardiovascular Research CenterUniversity of Rochester Medical CenterRochesterNYUSA
| | - Per Tornvall
- Division of CardiologyDepartment of Clinical Science and EducationKarolinska InstitutetSouth HospitalStockholmSweden
| | - Mats Frick
- Division of CardiologyDepartment of Clinical Science and EducationKarolinska InstitutetSouth HospitalStockholmSweden
| |
Collapse
|
19
|
Effect of triple antimicrobial therapy on electrocardiography parameters in patients with mild-to-moderate coronavirus disease 2019. Anatol J Cardiol 2021; 25:184-190. [PMID: 33690133 DOI: 10.14744/anatoljcardiol.2020.79138] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
OBJECTIVE The effects of treatment of coronavirus disease 2019 (COVID-19) with a triple combination composed of hydroxychloroquine, an an-tiviral, and an antibiotic on electrocardiography (ECG) parameters in patients with mild-to-moderate symptoms are not wholly understood. We aimed to explore the changes in ECG parameters after treatment with triple combination therapy in patients with mild-to-moderate symptomatic COVID-19. METHODS This retrospective, single-center case series analyzed 91 patients with mild-to-moderate symptomatic COVID-19 at Ankara Gazi Mus-tafa Kemal State Hospital of Ankara City, Turkey, from April 1, 2020, to April 30, 2020. Forty-three patients were treated with hydroxychloroquine+oseltamivir+azithromycin (Group 1) and 48 patients were treated with hydroxychloroquine+oseltamivir+levofloxacin (Group 2). Heart rate, P wave duration, P wave dispersion, PR interval, QRS duration, corrected QT interval (QTc), QTc dispersion (QTD), delta QTc, Tp-e, Tp-e dispersion, and Tp-e/QTc ratio were all calculated from the baseline and posttreatment 12-lead ECG recordings. RESULTS The QTc, QRS duration, Tp-e, PR interval, and P wave duration were significantly increased after treatment (p<0.001; p<0.001; p<0.001; p=0.001; p=0.001). The posttreatment C-reactive protein level was significantly lower than at baseline in Group 1 (p=0.014). At admission, 30% of patients had QT prolongation, and 4.3% of them had a QT duration >500 ms. Both Group 1 and Group 2 showed significant prolongation of the QTc interval (Group 1; p<0.001 vs. Group 2; p<0.001), QRS duration (Group 1; p=0.006 vs. Group 2; p=0.014), Tp-e (Group 1; p=0.036 vs. Group 2; p<0.001), and PR interval (Group 1; p=0.002 vs. Group2; p=0.05). The QTD was significantly decreased in Group 1 (p<0.001). None of the patients experienced any overt ventricular arrhythmia. CONCLUSION To the best of our knowledge, this study is the first to investigate QT prolongation in a population of COVID-19 patients treated with triple combination therapy. We found that there was a significant decrease in the QTD after the treatment in patients who were taking triple therapy including azithromycin.
Collapse
|
20
|
Kim PY, Irizarry-Caro JA, Ramesh T, Iliescu C, Lopez-Mattei JC. How to Diagnose and Manage QT Prolongation in Cancer Patients. JACC CardioOncol 2021; 3:145-149. [PMID: 34396315 PMCID: PMC8352274 DOI: 10.1016/j.jaccao.2021.01.002] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2020] [Revised: 01/11/2021] [Accepted: 01/13/2021] [Indexed: 10/25/2022] Open
Affiliation(s)
- Peter Y. Kim
- Department of Cardiology, Division of Internal Medicine, University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Jorge A. Irizarry-Caro
- Department of Internal Medicine, University of Texas Health Science Center at Houston, Houston, Texas, USA
| | - Tushar Ramesh
- Department of Internal Medicine, Baylor College of Medicine, Houston, Texas, USA
| | - Cezar Iliescu
- Department of Cardiology, Division of Internal Medicine, University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Juan C. Lopez-Mattei
- Department of Cardiology, Division of Internal Medicine, University of Texas MD Anderson Cancer Center, Houston, Texas, USA
- Department of Thoracic Imaging, University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| |
Collapse
|
21
|
Kim KS, Kwon HM, Jung KW, Sang BH, Moon YJ, Kim B, Jun IG, Song JG, Hwang GS. Markedly prolonged QTc interval in end-stage liver disease and risk of 30-day cardiovascular event after liver transplant. J Gastroenterol Hepatol 2021; 36:758-766. [PMID: 32804412 DOI: 10.1111/jgh.15179] [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: 04/16/2020] [Revised: 06/22/2020] [Accepted: 07/09/2020] [Indexed: 12/09/2022]
Abstract
BACKGROUND AND AIM The proportional increase of corrected QT interval (QTc) along end-stage liver disease (ESLD) severity may lead to inconsistent outcome reporting if based on conventional threshold of prolonged QTc. We investigated the comprehensive QTc distribution among ESLD patients and assessed the association between QTc > 500 ms, a criterion for diagnosing severe long-QT syndrome, and the 30-day major adverse cardiovascular event (MACE) after liver transplantation (LT) and identified the risk factors for developing QTc > 500 ms. METHODS Data were collected prospectively from the Asan LT Registry between 2011 and 2018, and outcomes were retrospectively reviewed. Multivariable analysis and propensity score-weighted adjusted odds ratios (ORs) were calculated. Thirty-day MACEs were defined as the composite of cardiovascular mortality, arrhythmias, myocardial infarction, pulmonary thromboembolism, and/or stroke. RESULTS Of 2579 patients, 194 (7.5%) had QTc > 500 ms (QTc500_Group), and 1105 (42.8%) had prolonged QTc (QTcP_Group), defined as QTc > 470 ms for women and >450 ms for men. The 30-day MACE occurred in 336 (13%) patients. QTc500_Group showed higher 30-day MACE than did those without (20.1% vs 12.5%, P = 0.003), with corresponding adjusted OR of 1.24 (95% CI: 1.06-1.46, P = 0.007). However, QTcP_Group showed comparable 30-day MACE (13.3% vs 12.8% without prolonged QTc, P = 0.764). Significant risk factors for QTc > 500 ms development were advanced liver disease, female sex, hypokalemia, hypocalcemia, high left ventricular end-diastolic volume, and tachycardia. CONCLUSION Our results revealed that, among ESLD patients, a novel threshold of QTc > 500 ms was associated with post-LT 30-day MACE but not with conventional threshold, indicating that a longer QTc threshold should be considered for this unique patient population.
Collapse
Affiliation(s)
- Kyoung-Sun Kim
- Department of Anesthesiology and Pain Medicine, Laboratory for Cardiovascular Dynamics, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Hye-Mee Kwon
- Department of Anesthesiology and Pain Medicine, Laboratory for Cardiovascular Dynamics, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Kyeo-Woon Jung
- Department of Anesthesiology and Pain Medicine, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Bo-Hyun Sang
- Department of Anesthesiology and Pain Medicine, CHA Bundang Medical Center, CHA University, Seongnam, Korea
| | - Young-Jin Moon
- Department of Anesthesiology and Pain Medicine, Laboratory for Cardiovascular Dynamics, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Bomi Kim
- Department of Anesthesiology and Pain Medicine, Laboratory for Cardiovascular Dynamics, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - In-Gu Jun
- Department of Anesthesiology and Pain Medicine, Laboratory for Cardiovascular Dynamics, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Jun-Gol Song
- Department of Anesthesiology and Pain Medicine, Laboratory for Cardiovascular Dynamics, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Gyu-Sam Hwang
- Department of Anesthesiology and Pain Medicine, Laboratory for Cardiovascular Dynamics, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| |
Collapse
|
22
|
Giudicessi JR, Schram M, Bos JM, Galloway CD, Shreibati JB, Johnson PW, Carter RE, Disrud LW, Kleiman R, Attia ZI, Noseworthy PA, Friedman PA, Albert DE, Ackerman MJ. Artificial Intelligence-Enabled Assessment of the Heart Rate Corrected QT Interval Using a Mobile Electrocardiogram Device. Circulation 2021; 143:1274-1286. [PMID: 33517677 DOI: 10.1161/circulationaha.120.050231] [Citation(s) in RCA: 60] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
BACKGROUND Heart rate-corrected QT interval (QTc) prolongation, whether secondary to drugs, genetics including congenital long QT syndrome, and/or systemic diseases including SARS-CoV-2-mediated coronavirus disease 2019 (COVID-19), can predispose to ventricular arrhythmias and sudden cardiac death. Currently, QTc assessment and monitoring relies largely on 12-lead electrocardiography. As such, we sought to train and validate an artificial intelligence (AI)-enabled 12-lead ECG algorithm to determine the QTc, and then prospectively test this algorithm on tracings acquired from a mobile ECG (mECG) device in a population enriched for repolarization abnormalities. METHODS Using >1.6 million 12-lead ECGs from 538 200 patients, a deep neural network (DNN) was derived (patients for training, n = 250 767; patients for testing, n = 107 920) and validated (n = 179 513 patients) to predict the QTc using cardiologist-overread QTc values as the "gold standard". The ability of this DNN to detect clinically-relevant QTc prolongation (eg, QTc ≥500 ms) was then tested prospectively on 686 patients with genetic heart disease (50% with long QT syndrome) with QTc values obtained from both a 12-lead ECG and a prototype mECG device equivalent to the commercially-available AliveCor KardiaMobile 6L. RESULTS In the validation sample, strong agreement was observed between human over-read and DNN-predicted QTc values (-1.76±23.14 ms). Similarly, within the prospective, genetic heart disease-enriched dataset, the difference between DNN-predicted QTc values derived from mECG tracings and those annotated from 12-lead ECGs by a QT expert (-0.45±24.73 ms) and a commercial core ECG laboratory [10.52±25.64 ms] was nominal. When applied to mECG tracings, the DNN's ability to detect a QTc value ≥500 ms yielded an area under the curve, sensitivity, and specificity of 0.97, 80.0%, and 94.4%, respectively. CONCLUSIONS Using smartphone-enabled electrodes, an AI DNN can predict accurately the QTc of a standard 12-lead ECG. QTc estimation from an AI-enabled mECG device may provide a cost-effective means of screening for both acquired and congenital long QT syndrome in a variety of clinical settings where standard 12-lead electrocardiography is not accessible or cost-effective.
Collapse
Affiliation(s)
- John R Giudicessi
- Clinician-Investigator Training Program (J.R.G.), Mayo Clinic, Rochester, MN
| | - Matthew Schram
- AliveCor Inc., Mountain View, CA. (M.S., C.D.G., J.B.S., D.E.A.)
| | - J Martijn Bos
- Department of Cardiovascular Medicine; Windland Smith Rice Sudden Death Genomics Laboratory, Department of Molecular Pharmacology and Experimental Therapeutics (J.M.B., M.J.A.), Mayo Clinic, Rochester, MN
| | | | | | - Patrick W Johnson
- Department of Health Sciences Research (Biomedical Statistics and Informatics), Mayo Clinic, Jacksonville, FL (P.W.J., R.E.C.)
| | - Rickey E Carter
- Department of Health Sciences Research (Biomedical Statistics and Informatics), Mayo Clinic, Jacksonville, FL (P.W.J., R.E.C.)
| | - Levi W Disrud
- Division of Heart Rhythm Services, Windland Smith Rice Genetic Heart Rhythm Clinic (L.W.D., Z.I.A., P.A.N., P.A.F., M.J.A.), Mayo Clinic, Rochester, MN
| | | | - Zachi I Attia
- Division of Heart Rhythm Services, Windland Smith Rice Genetic Heart Rhythm Clinic (L.W.D., Z.I.A., P.A.N., P.A.F., M.J.A.), Mayo Clinic, Rochester, MN
| | - Peter A Noseworthy
- Division of Heart Rhythm Services, Windland Smith Rice Genetic Heart Rhythm Clinic (L.W.D., Z.I.A., P.A.N., P.A.F., M.J.A.), Mayo Clinic, Rochester, MN
| | - Paul A Friedman
- Division of Heart Rhythm Services, Windland Smith Rice Genetic Heart Rhythm Clinic (L.W.D., Z.I.A., P.A.N., P.A.F., M.J.A.), Mayo Clinic, Rochester, MN
| | - David E Albert
- AliveCor Inc., Mountain View, CA. (M.S., C.D.G., J.B.S., D.E.A.)
| | - Michael J Ackerman
- Division of Heart Rhythm Services, Windland Smith Rice Genetic Heart Rhythm Clinic (L.W.D., Z.I.A., P.A.N., P.A.F., M.J.A.), Mayo Clinic, Rochester, MN.,Department of Cardiovascular Medicine; Windland Smith Rice Sudden Death Genomics Laboratory, Department of Molecular Pharmacology and Experimental Therapeutics (J.M.B., M.J.A.), Mayo Clinic, Rochester, MN.,Division of Pediatric Cardiology, Department of Pediatric and Adolescent Medicine (M.J.A.), Mayo Clinic, Rochester, MN
| |
Collapse
|
23
|
Abstract
Background Bedaquiline (BDQ) is recommended for the treatment of multidrug-resistant tuberculosis (MDR TB), however, it has the potential to prolong QTc interval. We assessed the frequency and severity of QTc prolongation in patients receiving BDQ in California. Methods Based on chart review for patients receiving BDQ as part of MDR TB therapy from January 2013–May 2019, we analyzed QTc values at six pre-specified time points during BDQ therapy (baseline, 2, 4, 8, 12, and 24 weeks), as well as peak QTc, time to peak QTc, and the clinical characteristics of patients who had QTc elevation >500 milliseconds (ms) during therapy. Results A total of 37 patients were treated with BDQ during the analysis period, with a total of 449 QTc measurements available for analysis. Most patients (89%) received at least one QTc-prolonging drug in addition to BDQ. Median QTc values at all pre-specified time points were <450 ms. Median peak QTc was 455 ms (interquartile range [IQR]: 437–486) and median time to peak was 57 days (IQR: 19–156). Four patients (11%) had a non-transient elevation in QTc to >500 ms, including one patient with profound hypokalemia and one receiving concurrent chemotherapy, but none had cardiac arrhythmia. Less than 10% of patient in our cohort had ECGs performed at all six pre-specified time points. Discussion BDQ was generally well-tolerated in a cohort of patients treated for MDR TB in California, with 11% of patients experiencing a non-transient QTc elevation >500 ms, and no episodes of arrhythmia. Frequent ECG monitoring during BDQ therapy presents a challenge for TB clinicians, even in well-resourced countries.
Collapse
|
24
|
Manolis AS, Manolis AA, Manolis TA, Apostolopoulos EJ, Papatheou D, Melita H. COVID-19 infection and cardiac arrhythmias. Trends Cardiovasc Med 2020; 30:451-460. [PMID: 32814095 PMCID: PMC7429078 DOI: 10.1016/j.tcm.2020.08.002] [Citation(s) in RCA: 68] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/09/2020] [Revised: 08/04/2020] [Accepted: 08/14/2020] [Indexed: 02/07/2023]
Abstract
As the coronavirus 2019 (COVID-19) pandemic marches unrelentingly, more patients with cardiac arrhythmias are emerging due to the effects of the virus on the respiratory and cardiovascular (CV) systems and the systemic inflammation that it incurs, and also as a result of the proarrhythmic effects of COVID-19 pharmacotherapies and other drug interactions and the associated autonomic imbalance that enhance arrhythmogenicity. The most worrisome of all arrhythmogenic mechanisms is the QT prolonging effect of various anti-COVID pharmacotherapies that can lead to polymorphic ventricular tachycardia in the form of torsade des pointes and sudden cardiac death. It is therefore imperative to monitor the QT interval during treatment; however, conventional approaches to such monitoring increase the transmission risk for the staff and strain the health system. Hence, there is dire need for contactless monitoring and telemetry for inpatients, especially those admitted to the intensive care unit, as well as for outpatients needing continued management. In this context, recent technological advances have ushered in a new era in implementing digital health monitoring tools that circumvent these obstacles. All these issues are herein discussed and a large body of recent relevant data are reviewed.
Collapse
Affiliation(s)
- Antonis S Manolis
- First Department of Cardiology, Athens University School of Medicine, Athens, Greece.
| | | | | | | | | | | |
Collapse
|
25
|
Giudicessi JR, Roden DM, Wilde AAM, Ackerman MJ. Genetic susceptibility for COVID-19-associated sudden cardiac death in African Americans. Heart Rhythm 2020; 17:1487-1492. [PMID: 32380288 PMCID: PMC7198426 DOI: 10.1016/j.hrthm.2020.04.045] [Citation(s) in RCA: 62] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Affiliation(s)
- John R Giudicessi
- Clinician-Investigator Training Program, Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota; Division of Heart Rhythm Services, Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota
| | - Dan M Roden
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee; Department of Pharmacology, Vanderbilt University Medical Center, Nashville, Tennessee; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Arthur A M Wilde
- Department of Clinical and Experimental Cardiology, Amsterdam Cardiovascular Sciences, Amsterdam UMC, University of Amsterdam, Heart Center, Amsterdam, The Netherlands; European Reference Network for Rare and Low Prevalence Complex Diseases of the Heart (ERN GUARD-Heart)
| | - Michael J Ackerman
- Division of Heart Rhythm Services, Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota; Division of Pediatric Cardiology, Department of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, Minnesota; Department of Molecular Pharmacology & Experimental Therapeutics, Windland Smith Rice Sudden Death Genomics Laboratory, Mayo Clinic, Rochester, Minnesota.
| |
Collapse
|
26
|
Giudicessi JR, Noseworthy PA, Friedman PA, Ackerman MJ. Urgent Guidance for Navigating and Circumventing the QTc-Prolonging and Torsadogenic Potential of Possible Pharmacotherapies for Coronavirus Disease 19 (COVID-19). Mayo Clin Proc 2020; 95:1213-1221. [PMID: 32359771 PMCID: PMC7141471 DOI: 10.1016/j.mayocp.2020.03.024] [Citation(s) in RCA: 286] [Impact Index Per Article: 71.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2020] [Revised: 03/25/2020] [Accepted: 03/25/2020] [Indexed: 02/08/2023]
Abstract
As the coronavirus disease 19 (COVID-19) global pandemic rages across the globe, the race to prevent and treat this deadly disease has led to the "off-label" repurposing of drugs such as hydroxychloroquine and lopinavir/ritonavir, which have the potential for unwanted QT-interval prolongation and a risk of drug-induced sudden cardiac death. With the possibility that a considerable proportion of the world's population soon could receive COVID-19 pharmacotherapies with torsadogenic potential for therapy or postexposure prophylaxis, this document serves to help health care professionals mitigate the risk of drug-induced ventricular arrhythmias while minimizing risk of COVID-19 exposure to personnel and conserving the limited supply of personal protective equipment.
Collapse
Affiliation(s)
- John R Giudicessi
- Department of Cardiovascular Medicine, Clinician-Investigator Training Program, Mayo Clinic, Rochester, MN; Department of Cardiovascular Medicine, Division of Heart Rhythm Services, Mayo Clinic, Rochester, MN
| | - Peter A Noseworthy
- Department of Cardiovascular Medicine, Division of Heart Rhythm Services, Mayo Clinic, Rochester, MN
| | - Paul A Friedman
- Department of Cardiovascular Medicine, Division of Heart Rhythm Services, Mayo Clinic, Rochester, MN
| | - Michael J Ackerman
- Department of Cardiovascular Medicine, Division of Heart Rhythm Services, Mayo Clinic, Rochester, MN; Department of Pediatric and Adolescent Medicine, Division of Pediatric Cardiology, Mayo Clinic, Rochester, MN; Department of Molecular Pharmacology and Experimental Therapeutics, Windland Smith Rice Sudden Death Genomics Laboratory, Mayo Clinic, Rochester, MN.
| |
Collapse
|
27
|
Elangovan A. QTc Prolongation in the Critically Ill: Tread with Caution! Indian J Crit Care Med 2020; 24:220-221. [PMID: 32565631 PMCID: PMC7297236 DOI: 10.5005/jp-journals-10071-23403] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
How to cite this article: Elangovan A. QTc Prolongation in the Critically Ill: Tread with Caution! Indian J Crit Care Med 2020;24(4):220-221.
Collapse
Affiliation(s)
- Ashok Elangovan
- Department of Intensive Care Medicine, Queen Elizabeth Hospital, Adelaide, Australia
| |
Collapse
|
28
|
Heravi AS, Etzkorn LH, Urbanek JK, Crainiceanu CM, Punjabi NM, Ashikaga H, Brown TT, Budoff MJ, D'Souza G, Magnani JW, Palella FJ, Berger RD, Wu KC, Post WS. HIV Infection Is Associated With Variability in Ventricular Repolarization: The Multicenter AIDS Cohort Study (MACS). Circulation 2019; 141:176-187. [PMID: 31707799 DOI: 10.1161/circulationaha.119.043042] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
BACKGROUND People living with human immunodeficiency virus (HIV+) have greater risk for sudden arrhythmic death than HIV-uninfected (HIV-) individuals. HIV-associated abnormal cardiac repolarization may contribute to this risk. We investigated whether HIV serostatus is associated with ventricular repolarization lability by using the QT variability index (QTVI), defined as a log measure of QT-interval variance indexed to heart rate variance. METHODS We studied 1123 men (589 HIV+ and 534 HIV-) from MACS (Multicenter AIDS Cohort Study), using the ZioXT ambulatory electrocardiography patch. Beat-to-beat analysis of up to 4 full days of electrocardiographic data per participant was performed using an automated algorithm (median analyzed duration [quartile 1-quartile 3]: 78.3 [66.3-83.0] hours/person). QTVI was modeled using linear mixed-effects models adjusted for demographics, cardiac risk factors, and HIV-related and inflammatory biomarkers. RESULTS Mean (SD) age was 60.1 (11.9) years among HIV- and 54.2 (11.2) years among HIV+ participants (P<0.001), 83% of whom had undetectable (<20 copies/mL) HIV-1 viral load (VL). In comparison with HIV- men, HIV+ men had higher QTVI (adjusted difference of +0.077 [95% CI, +0.032 to +0.123]). The magnitude of this association depended on the degree of viremia, such that in HIV+ men with undetectable VL, adjusted QTVI was +0.064 (95% CI, +0.017 to +0.111) higher than in HIV- men, whereas, in HIV+ men with detectable VL, adjusted QTVI was higher by +0.150 (95% CI, 0.072-0.228) than in HIV- referents. Analysis of QTVI subcomponents showed that HIV+ men had: (1) lower heart rate variability irrespective of VL status, and (2) higher QT variability if they had detectable, but not with undetectable, VL, in comparison with HIV- men. Higher levels of C-reactive protein, interleukin-6, intercellular adhesion molecule-1, soluble tumor necrosis factor receptor 2, and soluble cluster of differentiation-163 (borderline), were associated with higher QTVI and partially attenuated the association with HIV serostatus. CONCLUSIONS HIV+ men have greater beat-to-beat variability in QT interval (QTVI) than HIV- men, especially in the setting of HIV viremia and heightened inflammation. Among HIV+ men, higher QTVI suggests ventricular repolarization lability, which can increase susceptibility to arrhythmias, whereas lower heart rate variability signals a component of autonomic dysfunction.
Collapse
Affiliation(s)
- Amir S Heravi
- School of Medicine (A.S.H.), Johns Hopkins University, Baltimore, MD
| | - Lacey H Etzkorn
- Department of Biostatistics (L.H.E., J.K.U., C.M.C.), Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Jacek K Urbanek
- Department of Biostatistics (L.H.E., J.K.U., C.M.C.), Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Ciprian M Crainiceanu
- Department of Biostatistics (L.H.E., J.K.U., C.M.C.), Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Naresh M Punjabi
- Division of Pulmonary and Critical Care Medicine (N.M.P.), Johns Hopkins University, Baltimore, MD
| | - Hiroshi Ashikaga
- Division of Cardiology, Department of Medicine (H.A., R.D.B., K.C.W., W.S.P.), Johns Hopkins University, Baltimore, MD
| | - Todd T Brown
- Division of Endocrinology, Diabetes, and Metabolism (T.T.B.), Johns Hopkins University, Baltimore, MD
| | - Matthew J Budoff
- Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, CA (M.J.B.)
| | - Gypsyamber D'Souza
- Department of Epidemiology (G.D.. W.S.P.), Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Jared W Magnani
- Heart and Vascular Institute, Department of Medicine, University of Pittsburgh, PA (J.W.M.)
| | - Frank J Palella
- Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL (F.J.P.)
| | - Ronald D Berger
- Division of Cardiology, Department of Medicine (H.A., R.D.B., K.C.W., W.S.P.), Johns Hopkins University, Baltimore, MD
| | - Katherine C Wu
- Division of Cardiology, Department of Medicine (H.A., R.D.B., K.C.W., W.S.P.), Johns Hopkins University, Baltimore, MD
| | - Wendy S Post
- Division of Cardiology, Department of Medicine (H.A., R.D.B., K.C.W., W.S.P.), Johns Hopkins University, Baltimore, MD.,Department of Epidemiology (G.D.. W.S.P.), Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| |
Collapse
|