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      Factors affecting the electrocardiographic QT interval in malaria: A systematic review and meta-analysis of individual patient data

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      PLoS Medicine
      Public Library of Science

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          Abstract

          Background

          Electrocardiographic QT interval prolongation is the most widely used risk marker for ventricular arrhythmia potential and thus an important component of drug cardiotoxicity assessments. Several antimalarial medicines are associated with QT interval prolongation. However, interpretation of electrocardiographic changes is confounded by the coincidence of peak antimalarial drug concentrations with recovery from malaria. We therefore reviewed all available data to characterise the effects of malaria disease and demographic factors on the QT interval in order to improve assessment of electrocardiographic changes in the treatment and prevention of malaria.

          Methods and findings

          We conducted a systematic review and meta-analysis of individual patient data. We searched clinical bibliographic databases (last on August 21, 2017) for studies of the quinoline and structurally related antimalarials for malaria-related indications in human participants in which electrocardiograms were systematically recorded. Unpublished studies were identified by the World Health Organization (WHO) Evidence Review Group (ERG) on the Cardiotoxicity of Antimalarials. Risk of bias was assessed using the Pharmacoepidemiological Research on Outcomes of Therapeutics by a European Consortium (PROTECT) checklist for adverse drug events. Bayesian hierarchical multivariable regression with generalised additive models was used to investigate the effects of malaria and demographic factors on the pretreatment QT interval. The meta-analysis included 10,452 individuals (9,778 malaria patients, including 343 with severe disease, and 674 healthy participants) from 43 studies. 7,170 (68.6%) had fever (body temperature ≥ 37.5°C), and none developed ventricular arrhythmia after antimalarial treatment. Compared to healthy participants, patients with uncomplicated falciparum malaria had shorter QT intervals (−61.77 milliseconds; 95% credible interval [CI]: −80.71 to −42.83) and increased sensitivity of the QT interval to heart rate changes. These effects were greater in severe malaria (−110.89 milliseconds; 95% CI: −140.38 to −81.25). Body temperature was associated independently with clinically significant QT shortening of 2.80 milliseconds (95% CI: −3.17 to −2.42) per 1°C increase. Study limitations include that it was not possible to assess the effect of other factors that may affect the QT interval but are not consistently collected in malaria clinical trials.

          Conclusions

          Adjustment for malaria and fever-recovery–related QT lengthening is necessary to avoid misattributing malaria-disease–related QT changes to antimalarial drug effects. This would improve risk assessments of antimalarial-related cardiotoxicity in clinical research and practice. Similar adjustments may be indicated for other febrile illnesses for which QT-interval–prolonging medications are important therapeutic options.

          Abstract

          Xin Hui Chan and co-workers report an individual patient data meta-analysis on disease-specific heart rhythm alterations in malaria.

          Author summary

          Why was this study done?
          • Prolongation of the electrocardiographic (ECG) QT interval is a widely used marker of the risk of developing abnormal heart rhythms, which can cause sudden death.

          • Several antimalarial drugs are associated with QT interval prolongation, motivating systematic ECG safety monitoring in many malaria clinical studies.

          • Malaria illness itself may also affect the heart and QT interval, but these disease effects are not well-understood.

          • Interpretation of ECG changes after antimalarial treatment is complicated by the coincidence of peak antimalarial drug concentrations with malaria recovery.

          What did the researchers do and find?
          • We performed a systematic review and meta-analysis of individual patient data to investigate the effect of malaria disease factors on the ECG QT interval.

          • We included pretreatment data from 10,452 individuals (9,778 malaria patients and 674 healthy participants) from 43 studies in 20 countries.

          • Malaria was associated with QT interval shortening and increased sensitivity of the QT interval to heart rate changes, and these effects increased with malaria severity.

          • Body temperature increase (fever) was associated independently with clinically significant QT shortening.

          What do these findings mean?
          • To improve cardiac safety assessments of antimalarial medicines, adjustment for malaria recovery- and defervescence-related QT interval prolongation is needed to avoid misattributing QT changes solely to drugs.

          • These findings are relevant to drug developers, healthcare providers, clinical trialists, and policymakers who use QT interval safety data to decide which antimalarials to develop and use and at what dose.

          • Further study of the QT interval in other infections and inflammatory disorders that cause fever and are treated with QT-prolonging medicines is recommended in order to understand the role of disease factors in QT interval changes.

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          Most cited references69

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          brms: An R Package for Bayesian Multilevel Models Using Stan

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            Stan: A Probabilistic Programming Language

            Stan is a probabilistic programming language for specifying statistical models. A Stan program imperatively defines a log probability function over parameters conditioned on specified data and constants. As of version 2.14.0, Stan provides full Bayesian inference for continuous-variable models through Markov chain Monte Carlo methods such as the No-U-Turn sampler, an adaptive form of Hamiltonian Monte Carlo sampling. Penalized maximum likelihood estimates are calculated using optimization methods such as the limited memory Broyden-Fletcher-Goldfarb-Shanno algorithm. Stan is also a platform for computing log densities and their gradients and Hessians, which can be used in alternative algorithms such as variational Bayes, expectation propagation, and marginal inference using approximate integration. To this end, Stan is set up so that the densities, gradients, and Hessians, along with intermediate quantities of the algorithm such as acceptance probabilities, are easily accessible. Stan can be called from the command line using the cmdstan package, through R using the rstan package, and through Python using the pystan package. All three interfaces support sampling and optimization-based inference with diagnostics and posterior analysis. rstan and pystan also provide access to log probabilities, gradients, Hessians, parameter transforms, and specialized plotting.
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              R: A language and environment for statistical computing

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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: SoftwareRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Data curationRole: InvestigationRole: SoftwareRole: Writing – review & editing
                Role: Data curationRole: InvestigationRole: Writing – review & editing
                Role: Data curationRole: MethodologyRole: SoftwareRole: Writing – review & editing
                Role: Data curationRole: Writing – review & editing
                Role: MethodologyRole: ResourcesRole: VisualizationRole: Writing – review & editing
                Role: Data curationRole: InvestigationRole: SoftwareRole: Writing – review & editing
                Role: InvestigationRole: Writing – review & editing
                Role: InvestigationRole: Writing – review & editing
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                Role: InvestigationRole: Writing – review & editing
                Role: InvestigationRole: Writing – review & editing
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                Role: InvestigationRole: Writing – review & editing
                Role: InvestigationRole: Writing – review & editing
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                Role: InvestigationRole: Writing – review & editing
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                Role: InvestigationRole: Writing – review & editing
                Role: InvestigationRole: Writing – review & editing
                Role: InvestigationRole: Writing – review & editing
                Role: InvestigationRole: ValidationRole: Writing – review & editing
                Role: InvestigationRole: Writing – review & editing
                Role: InvestigationRole: Writing – review & editing
                Role: InvestigationRole: Writing – review & editing
                Role: InvestigationRole: Writing – review & editing
                Role: Funding acquisitionRole: InvestigationRole: MethodologyRole: Writing – review & editing
                Role: ConceptualizationRole: ValidationRole: Writing – review & editing
                Role: ConceptualizationRole: Writing – review & editing
                Role: InvestigationRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: InvestigationRole: Writing – review & editing
                Role: Academic Editor
                Journal
                PLoS Med
                PLoS Med
                plos
                plosmed
                PLoS Medicine
                Public Library of Science (San Francisco, CA USA )
                1549-1277
                1549-1676
                5 March 2020
                March 2020
                : 17
                : 3
                : e1003040
                Affiliations
                [1 ] Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
                [2 ] Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
                [3 ] Health and Diseases Control Unit, Naypyidaw, Myanmar
                [4 ] WorldWide Antimalarial Research Network, Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
                [5 ] University College London Great Ormond Street Institute of Child Health, London, United Kingdom
                [6 ] Christ Church College, University of Oxford, Oxford, United Kingdom
                [7 ] Singapore Armed Forces Medical Corps, Singapore
                [8 ] Lao-Oxford-Mahosot Hospital-Wellcome Trust Research Unit, Vientiane, Lao PDR
                [9 ] Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa
                [10 ] WorldWide Antimalarial Resistance Network, Cape Town, South Africa
                [11 ] INDEPTH Network Secretariat, Accra, Ghana
                [12 ] Department of Internal Medicine, Faculty of Clinical Sciences, College of Health Sciences, University of Abuja, Abuja, Nigeria
                [13 ] Malaria Research and Training Center, Department of Epidemiology of Parasitic Diseases, Faculty of Pharmacy, University of Science Techniques and Technologies of Bamako, Bamako, Mali
                [14 ] Department of Medicine, University of California San Francisco, San Francisco, California, United States of America
                [15 ] Medicines for Malaria Venture, Geneva, Switzerland
                [16 ] Department of Clinical Tropical Medicine, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
                [17 ] Department of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, United Kingdom
                [18 ] Fundação de Medicina Tropical Dr Heitor Vieira Dourado, Manaus, Brazil
                [19 ] Instituto Leônidas e Maria Deane (FIOCRUZ-Amazonas), Fundação Oswaldo Cruz, Manaus, Brazil
                [20 ] Sun Pharmaceutical Industries Ltd, Gurgaon, Haryana, India
                [21 ] Shoklo Malaria Research Unit, Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Mae Sot, Thailand
                [22 ] Faculty of Pharmacy, Obafemi Awolowo University, Ile-Ife, Nigeria
                [23 ] The Royal Society of Thailand, Dusit, Bangkok, Thailand
                [24 ] Instituto Nacional de Infectologia Evandro Chagas, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil
                [25 ] Corporate R&D Department, Alfasigma S.p.A., Rome, Italy
                [26 ] Amsterdam University Medical Centers, Location Academic Medical Center, University of Amsterdam, Amsterdam, the Netherlands
                [27 ] Certara, Princeton, New Jersey, United States of America
                [28 ] Physiological Laboratory, University of Cambridge, Cambridge, United Kingdom
                [29 ] Cardiovascular Institute, Hospital Clinic, University of Barcelona, Barcelona, Spain
                [30 ] Global and Tropical Health Division, Menzies School of Health Research, Charles Darwin University, Darwin, NT, Australia
                Burnet Institute, AUSTRALIA
                Author notes

                I have read the journal's policy and the authors of this manuscript have the following competing interests: GV was an employee of Sigma Tau S.p.A from 1986 to 2017; EAA and NJW are members of the Editorial Board of PLOS Medicine.

                Author information
                http://orcid.org/0000-0002-9941-6975
                http://orcid.org/0000-0002-9078-5029
                http://orcid.org/0000-0002-2890-447X
                http://orcid.org/0000-0002-7620-4822
                http://orcid.org/0000-0002-5547-820X
                http://orcid.org/0000-0003-0062-2283
                http://orcid.org/0000-0003-0740-0317
                http://orcid.org/0000-0002-9649-4847
                http://orcid.org/0000-0001-8729-1442
                http://orcid.org/0000-0003-3663-5617
                http://orcid.org/0000-0002-7951-0745
                http://orcid.org/0000-0003-2208-0294
                http://orcid.org/0000-0003-4566-4030
                http://orcid.org/0000-0003-2309-1171
                http://orcid.org/0000-0001-9553-6112
                http://orcid.org/0000-0003-2000-2874
                http://orcid.org/0000-0002-1897-1978
                Article
                PMEDICINE-D-19-03000
                10.1371/journal.pmed.1003040
                7058280
                32134952
                aea84eee-d475-4514-bbc0-cbdc066e8c16
                © 2020 Chan et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 16 August 2019
                : 5 February 2020
                Page count
                Figures: 4, Tables: 3, Pages: 20
                Funding
                XHSC is supported by the Medical Research Council of the United Kingdom (MR/N013468/1), and the Jill and Herbert Hunt Travelling Scholarship of the University of Oxford. NJW is a Wellcome Trust Principal Research Fellow (107886/Z/15/Z) and is a recipient of the Bill and Melinda Gates Foundation award (OPP1132628). The Mahidol-Oxford Tropical Medicine Research Unit research programme is supported by the Wellcome Trust (106698/Z/14/Z). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Medicine and Health Sciences
                Parasitic Diseases
                Malaria
                Medicine and Health Sciences
                Tropical Diseases
                Malaria
                Medicine and Health Sciences
                Pharmacology
                Drugs
                Antimalarials
                Medicine and Health Sciences
                Cardiology
                Heart Rate
                Biology and Life Sciences
                Physiology
                Physiological Parameters
                Body Temperature
                Medicine and Health Sciences
                Physiology
                Physiological Parameters
                Body Temperature
                Research and Analysis Methods
                Bioassays and Physiological Analysis
                Electrophysiological Techniques
                Cardiac Electrophysiology
                Electrocardiography
                Medicine and Health Sciences
                Diagnostic Medicine
                Signs and Symptoms
                Fevers
                Medicine and Health Sciences
                Pathology and Laboratory Medicine
                Signs and Symptoms
                Fevers
                Research and Analysis Methods
                Mathematical and Statistical Techniques
                Statistical Methods
                Metaanalysis
                Physical Sciences
                Mathematics
                Statistics
                Statistical Methods
                Metaanalysis
                Biology and Life Sciences
                Organisms
                Eukaryota
                Protozoans
                Parasitic Protozoans
                Malarial Parasites
                Custom metadata
                The data are available upon request to the Mahidol Oxford Tropical Medicine Research Unit Data Access Committee ( http://www.tropmedres.ac/data-sharing) for researchers and following the Mahidol Oxford Tropical Medicine Research Unit data access policy ( http://www.tropmedres.ac/_asset/file/data-sharing-policy-v1-1.pdf). Queries and applications for datasets should be directed to Rita Chanviriyavuth ( rita@ 123456tropmedres.ac ).

                Medicine
                Medicine

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