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Quantitative Assessment of the Physiological Parameters Influencing QT Interval Response to Medication: Application of Computational Intelligence Tools.
- Source :
-
Computational and mathematical methods in medicine [Comput Math Methods Med] 2018 Jan 04; Vol. 2018, pp. 3719703. Date of Electronic Publication: 2018 Jan 04 (Print Publication: 2018). - Publication Year :
- 2018
-
Abstract
- Human heart electrophysiology is complex biological phenomenon, which is indirectly assessed by the measured ECG signal. ECG trace is further analyzed to derive interpretable surrogates including QT interval, QRS complex, PR interval, and T wave morphology. QT interval and its modification are the most commonly used surrogates of the drug triggered arrhythmia, but it is known that the QT interval itself is determined by other nondrug related parameters, physiological and pathological. In the current study, we used the computational intelligence algorithms to analyze correlations between various simulated physiological parameters and QT interval. Terfenadine given concomitantly with 8 enzymatic inhibitors was used as an example. The equation developed with the use of genetic programming technique leads to general reasoning about the changes in the prolonged QT. For small changes of the QT interval, the drug-related IKr and ICa currents inhibition potentials have major impact. The physiological parameters such as body surface area, potassium, sodium, and calcium ions concentrations are negligible. The influence of the physiological variables increases gradually with the more pronounced changes in QT. As the significant QT prolongation is associated with the drugs triggered arrhythmia risk, analysis of the role of physiological parameters influencing ECG seems to be advisable.
- Subjects :
- Algorithms
Calcium chemistry
Cell Membrane metabolism
Clinical Trials as Topic
Electrophysiology
Humans
Ions
Models, Statistical
Myocytes, Cardiac cytology
Observer Variation
Potassium chemistry
Programming Languages
Regression Analysis
Reproducibility of Results
Risk
Sodium chemistry
Software
Terfenadine administration & dosage
Terfenadine adverse effects
Action Potentials drug effects
Anti-Arrhythmia Agents adverse effects
Arrhythmias, Cardiac chemically induced
Artificial Intelligence
Electrocardiography
Heart drug effects
Myocytes, Cardiac drug effects
Subjects
Details
- Language :
- English
- ISSN :
- 1748-6718
- Volume :
- 2018
- Database :
- MEDLINE
- Journal :
- Computational and mathematical methods in medicine
- Publication Type :
- Academic Journal
- Accession number :
- 29531576
- Full Text :
- https://doi.org/10.1155/2018/3719703