Cardiac TdP risk stratification modelling of anti-infective compounds including chloroquine and hydroxychloroquine

Hydroxychloroquine (HCQ), the hydroxyl derivative of chloroquine (CQ), is widely used in the treatment of rheumatological conditions (systemic lupus erythematosus, rheumatoid arthritis) and is being studied for the treatment and prevention of COVID-19. Here, we investigate through mathematical model...

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Main Authors: Dominic G. Whittaker, Rebecca A. Capel, Maurice Hendrix, Xin Hui S. Chan, Neil Herring, Nicholas J. White, Gary R. Mirams, Rebecca Ann B. Burton
Other Authors: University of Nottingham
Format: Article
Published: 2022
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Online Access:https://repository.li.mahidol.ac.th/handle/123456789/79360
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spelling th-mahidol.793602022-08-04T18:41:05Z Cardiac TdP risk stratification modelling of anti-infective compounds including chloroquine and hydroxychloroquine Dominic G. Whittaker Rebecca A. Capel Maurice Hendrix Xin Hui S. Chan Neil Herring Nicholas J. White Gary R. Mirams Rebecca Ann B. Burton University of Nottingham Mahidol University Nuffield Department of Medicine University of Oxford Medical Sciences Division Multidisciplinary Hydroxychloroquine (HCQ), the hydroxyl derivative of chloroquine (CQ), is widely used in the treatment of rheumatological conditions (systemic lupus erythematosus, rheumatoid arthritis) and is being studied for the treatment and prevention of COVID-19. Here, we investigate through mathematical modelling the safety profile of HCQ, CQ and other QT-prolonging anti-infective agents to determine their risk categories for Torsade de Pointes (TdP) arrhythmia. We performed safety modelling with uncertainty quantification using a risk classifier based on the qNet torsade metric score, a measure of the net charge carried by major currents during the action potential under inhibition of multiple ion channels by a compound. Modelling results for HCQ at a maximum free therapeutic plasma concentration (free C max) of approximately 1.2 µM (malaria dosing) indicated it is most likely to be in the high-intermediate-risk category for TdP, whereas CQ at a free C max of approximately 0.7 µM was predicted to most likely lie in the intermediate-risk category. Combining HCQ with the antibacterial moxifloxacin or the anti-malarial halofantrine (HAL) increased the degree of human ventricular action potential duration prolongation at some or all concentrations investigated, and was predicted to increase risk compared to HCQ alone. The combination of HCQ/HAL was predicted to be the riskiest for the free C max values investigated, whereas azithromycin administered individually was predicted to pose the lowest risk. Our simulation approach highlights that the torsadogenic potentials of HCQ, CQ and other QT-prolonging anti-infectives used in COVID-19 prevention and treatment increase with concentration and in combination with other QT-prolonging drugs. 2022-08-04T11:41:05Z 2022-08-04T11:41:05Z 2021-04-01 Article Royal Society Open Science. Vol.8, No.4 (2021) 10.1098/rsos.210235 20545703 2-s2.0-85106717456 https://repository.li.mahidol.ac.th/handle/123456789/79360 Mahidol University SCOPUS https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85106717456&origin=inward
institution Mahidol University
building Mahidol University Library
continent Asia
country Thailand
Thailand
content_provider Mahidol University Library
collection Mahidol University Institutional Repository
topic Multidisciplinary
spellingShingle Multidisciplinary
Dominic G. Whittaker
Rebecca A. Capel
Maurice Hendrix
Xin Hui S. Chan
Neil Herring
Nicholas J. White
Gary R. Mirams
Rebecca Ann B. Burton
Cardiac TdP risk stratification modelling of anti-infective compounds including chloroquine and hydroxychloroquine
description Hydroxychloroquine (HCQ), the hydroxyl derivative of chloroquine (CQ), is widely used in the treatment of rheumatological conditions (systemic lupus erythematosus, rheumatoid arthritis) and is being studied for the treatment and prevention of COVID-19. Here, we investigate through mathematical modelling the safety profile of HCQ, CQ and other QT-prolonging anti-infective agents to determine their risk categories for Torsade de Pointes (TdP) arrhythmia. We performed safety modelling with uncertainty quantification using a risk classifier based on the qNet torsade metric score, a measure of the net charge carried by major currents during the action potential under inhibition of multiple ion channels by a compound. Modelling results for HCQ at a maximum free therapeutic plasma concentration (free C max) of approximately 1.2 µM (malaria dosing) indicated it is most likely to be in the high-intermediate-risk category for TdP, whereas CQ at a free C max of approximately 0.7 µM was predicted to most likely lie in the intermediate-risk category. Combining HCQ with the antibacterial moxifloxacin or the anti-malarial halofantrine (HAL) increased the degree of human ventricular action potential duration prolongation at some or all concentrations investigated, and was predicted to increase risk compared to HCQ alone. The combination of HCQ/HAL was predicted to be the riskiest for the free C max values investigated, whereas azithromycin administered individually was predicted to pose the lowest risk. Our simulation approach highlights that the torsadogenic potentials of HCQ, CQ and other QT-prolonging anti-infectives used in COVID-19 prevention and treatment increase with concentration and in combination with other QT-prolonging drugs.
author2 University of Nottingham
author_facet University of Nottingham
Dominic G. Whittaker
Rebecca A. Capel
Maurice Hendrix
Xin Hui S. Chan
Neil Herring
Nicholas J. White
Gary R. Mirams
Rebecca Ann B. Burton
format Article
author Dominic G. Whittaker
Rebecca A. Capel
Maurice Hendrix
Xin Hui S. Chan
Neil Herring
Nicholas J. White
Gary R. Mirams
Rebecca Ann B. Burton
author_sort Dominic G. Whittaker
title Cardiac TdP risk stratification modelling of anti-infective compounds including chloroquine and hydroxychloroquine
title_short Cardiac TdP risk stratification modelling of anti-infective compounds including chloroquine and hydroxychloroquine
title_full Cardiac TdP risk stratification modelling of anti-infective compounds including chloroquine and hydroxychloroquine
title_fullStr Cardiac TdP risk stratification modelling of anti-infective compounds including chloroquine and hydroxychloroquine
title_full_unstemmed Cardiac TdP risk stratification modelling of anti-infective compounds including chloroquine and hydroxychloroquine
title_sort cardiac tdp risk stratification modelling of anti-infective compounds including chloroquine and hydroxychloroquine
publishDate 2022
url https://repository.li.mahidol.ac.th/handle/123456789/79360
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