Electrocardiogram predicts response to cardiac resynchronization therapy assessment by means of complexity index

Molon, Giulio; Marczyk, Jacek; Virzi, Giovanni; Accardi, Francesco; Costa, Alessandro; Barbieri, Enrico

doi:10.1016/j.jcrc.2013.07.007

Cited by 4 publications

(4 citation statements)

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“…When real-time data streaming is processed, all these values change over time. In nearly a decade, the QCT has found numerous applications in clinical scenarios [ 12 , 13 , 14 , 15 , 16 ]. According to this theory, complexity can be a new additional clinical parameter.…”

Section: Introductionmentioning

confidence: 99%

Quantitative Complexity Theory (QCT) in Integrative Analysis of Cardiovascular Hemodynamic Response to Posture Change

Krzesiński

Marczyk²,

Wolszczak³

et al. 2023

Life

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The explanation of physiological mechanisms involved in adaptation of the cardiovascular system to intrinsic and environmental demands is crucial for both basic science and clinical research. Computational algorithms integrating multivariable data that comprehensively depict complex mechanisms of cardiovascular reactivity are currently being intensively researched. Quantitative Complexity Theory (QCT) provides quantitative and holistic information on the state of multi-functional dynamic systems. The present paper aimed to describe the application of QCT in an integrative analysis of the cardiovascular hemodynamic response to posture change. Three subjects that underwent head-up tilt testing under beat-by-beat hemodynamic monitoring (impedance cardiography) were discussed in relation to the complexity trends calculated using QCT software. Complexity has been shown to be a sensitive marker of a cardiovascular hemodynamic response to orthostatic stress and vasodilator administration, and its increase has preceded changes in standard cardiovascular parameters. Complexity profiling has provided a detailed assessment of individual hemodynamic patterns of syncope. Different stimuli and complexity settings produce results of different clinical usability.

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Section: Introductionmentioning

confidence: 99%

Quantitative Complexity Theory (QCT) in Integrative Analysis of Cardiovascular Hemodynamic Response to Posture Change

Krzesiński

Marczyk²,

Wolszczak³

et al. 2023

Life

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“…The key characteristic of QCM is that it does not necessitate any form of learning. Therefore, it is not necessary to provide any training sets [1][2][3][4]. The advent of high speed and massively parallel computing, allows to study molecular dynamics (MD), in which the classical Newtonian equations of motion for a system are solved numerically starting from a given initial state.…”

Section: Introductionmentioning

confidence: 99%

"Complexity Quantification and Comparison of Two Commercially Available Anti-Coagulants"

Marczyk¹

2023

BJSTR

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One of the goals of contemporary AI-driven drug design is to predict physiochemical properties of molecules from their structures. Based on atomic trajectories obtained via Molecular Dynamics simulations, QCM (Quantitative Complexity Management) technology has been utilized to measure and compare the complexity of the molecules of two commercially available and widely used anti-coagulants with very similar side effects. It has been found that the dynamics of one of the two molecules to be significantly more complex. Also, the way information content is distributed in the molecules is quite different. QCM allows to measure how much information is encoded in the structure of a given molecule (small molecule drugs, proteins) as well as a measure of its structural robustness. It is hypothesized that molecular complexity may be a proxy of certain physiochemical properties of drugs, such as toxicity, helping in removal of non-promising compounds at an early stage of drug development.

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“…Since its introduction in 2005, the Quantitative Complexity Theory (QCT) provides quantitative and holistic information on the state of generic multi-functional dynamic systems [1]. Its applicability and advantages in medicine have been demonstrated in predicting clinical events in cardiac resynchronisation therapy [2,3], or of the outcome of the Head Up Tilt Test [4], where complexity profiling has provided a detailed assessment of individual hemodynamic patterns of syncope. Complexity has been shown to be a sensitive marker of a cardiovascular hemodynamic response to orthostatic stress and vasodilator administration, and its increase has preceded changes in standard cardiovascular parameters [5].…”

Section: Introductionmentioning

confidence: 99%

"Protein Folding – Quantification of Protein Complexity, Robustness and Amino Acid Participation"

Marczyk¹

2023

BJSTR

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The QCT (Quantitative Complexity Theory) algorithm has been applied to the analysis of the folding process of a protein composed of 435 atoms, monitoring its complexity at each step thereof. The folding has been simulated using Molecular Dynamics Simulation. The analysis has revealed that, while in the native state, the protein's configuration minimizes its energy, its complexity reaches a maximum. This result is interesting in that, according to the QCT, complexity is information that is encoded in structure. It is conjectured that the native state of a protein is a minimum energy-maximum information state. Moreover, QCT allows us to determine the footprint of each constituent amino acid in the dynamics, information content and robustness of a protein's structure. The application of QCT on proteins generates data and information about structure, complexity, special arrangements, etc., of proteins. The knowledge about the biological functions of such proteins derived from the above -which is crucial e.g., for designing new drugs -will have to be generated in collaboration with specialists from pharmaceutical R&D.

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Electrocardiogram predicts response to cardiac resynchronization therapy assessment by means of complexity index

Cited by 4 publications

References 0 publications

Quantitative Complexity Theory (QCT) in Integrative Analysis of Cardiovascular Hemodynamic Response to Posture Change

Quantitative Complexity Theory (QCT) in Integrative Analysis of Cardiovascular Hemodynamic Response to Posture Change

"Complexity Quantification and Comparison of Two Commercially Available Anti-Coagulants"

"Protein Folding – Quantification of Protein Complexity, Robustness and Amino Acid Participation"

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