AI Article Synopsis

  • Electrocardiographic QT interval prolongation is a key risk marker for ventricular arrhythmia and is crucial in assessing the cardiotoxicity of antimalarial drugs.
  • A systematic review and meta-analysis of data from 43 studies involving over 10,000 individuals aimed to understand how malaria and demographic factors affect the QT interval during treatment with antimalarials.
  • The findings indicated that patients with uncomplicated falciparum malaria actually experienced shorter QT intervals compared to healthy individuals, suggesting that malaria itself may influence ECG readings and complicate interpretations of drug cardiotoxicity.

Article 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 Unpublished studies were identified by the World Health Organization (WHO) Evidence Review Group (ERG) on the Cardiotoxicity of Antimalarials.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.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7058280PMC
http://dx.doi.org/10.1371/journal.pmed.1003040DOI Listing

Publication Analysis

Top Keywords

milliseconds 95%
12
malaria
9
interval
8
electrocardiographic interval
8
systematic review
8
review meta-analysis
8
meta-analysis individual
8
individual patient
8
patient data
8
interval prolongation
8

Similar Publications

Lyophobic heterogeneous systems, based on porous fluids made of ordered nanoporous particles immersed in a non-wetting liquid, constitute systems of interest for exploring wetting, drying, and coupled transport phenomena in nanometric confinement. To date, most experimental studies on the forced filling and spontaneous emptying of lyophobic nanometric pores, at pressures of several tens of MPa, have been conducted in a quasi-static regime. However, some studies have shown that dynamical measurements are essential to shed light on the rich physics of these phenomena.

View Article and Find Full Text PDF

Time-synchronised data streams from bio-loggers are becoming increasingly important for analysing and interpreting intricate animal behaviour including split-second decision making, group dynamics, and collective responses to environmental conditions. With the increased use of AI-based approaches for behaviour classification, time synchronisation between recording systems is becoming an essential challenge. Current solutions in bio-logging rely on manually removing time errors during post processing, which is complex and typically does not achieve sub-second timing accuracies.

View Article and Find Full Text PDF

An Automatic Movement Monitoring Method for Group-Housed Pigs.

Animals (Basel)

October 2024

Zhongrun Agriculture and Animal Husbandry Technology (Zhejiang) Co., Ltd., Jinhua 321000, China.

Article Synopsis
  • Continuous movement monitoring of pigs can quickly identify any abnormalities, ultimately improving their welfare; however, accurately tracking daily movements poses challenges on farms.
  • The study utilized the YOLOv8m-seg model for detecting pigs and combined it with a spatial moment algorithm to analyze their movement by converting detected contours into center points.
  • Over a period from April to July 2023, this method monitored the movements of group-housed pigs using over 1500 hours of video, achieving high accuracy with an F1 score exceeding 90% and maintaining efficient performance on standard hardware.
View Article and Find Full Text PDF

Wearable Online Freezing of Gait Detection and Cueing System.

Bioengineering (Basel)

October 2024

Faculty of Electrical Engineering and Computer Science, University of Maribor, 2000 Maribor, Slovenia.

This paper presents a real-time wearable system designed to assist Parkinson's disease patients experiencing freezing of gait episodes. The system utilizes advanced machine learning models, including convolutional and recurrent neural networks, enhanced with past sample data preprocessing to achieve high accuracy, efficiency, and robustness. By continuously monitoring gait patterns, the system provides timely interventions, improving mobility and reducing the impact of freezing episodes.

View Article and Find Full Text PDF

A rapid compression large-volume press with a high pressure jump above 10 GPa within milliseconds.

Rev Sci Instrum

October 2024

State Key Laboratory of Superhard Materials, Synergetic Extreme Condition User Facility, College of Physics, Jilin University, Changchun 130012, China.

Article Synopsis
  • * The study introduces a rapid-compression large volume press that can increase pressures from 1-5 GPa to 12-16 GPa in a very short time, leading to significant phase transitions in materials.
  • * This technique has remarkable implications for various scientific fields and has demonstrated substantial enhancements in phase transformations, outperforming earlier methods significantly.
View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!