Modeling Patient-Specific Desaturation Patterns in Sleep Apnea

Guerrero, Gustavo; Lerolle, Virginie; Loiodice, Corinne; Amblard, Amel; Pépin, Jean-Louis; Hernández, Alfredo

doi:10.1109/tbme.2021.3121170

Cited by 6 publications

(3 citation statements)

References 52 publications

(65 reference statements)

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“…Various models of the cardiovascular system have been previously developed by our team [9,10]. We proposed the first patient-specific model of the left ventricle that successfully simulates myocardial strains in dilated cardiomyopathy [11].…”

Section: Introductionmentioning

confidence: 99%

Desynchronization Strain Patterns and Contractility in Left Bundle Branch Block through Computer Model Simulation

Owashi

Taconne

Courtial

et al. 2022

JCDD

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Left bundle branch block (LBBB) is associated with specific septal-to-lateral wall activation patterns which are strongly influenced by the intrinsic left ventricular (LV) contractility and myocardial scar localization. The objective of this study was to propose a computational-model-based interpretation of the different patterns of LV contraction observed in the case of LBBB and preserved contractility or myocardial scarring. Two-dimensional transthoracic echocardiography was used to obtain LV volumes and deformation patterns in three patients with LBBB: (1) a patient with non-ischemic dilated cardiomyopathy, (2) a patient with antero-septal myocardial scar, and (3) a patient with lateral myocardial scar. Scar was confirmed by the distribution of late gadolinium enhancement with cardiac magnetic resonance imaging (cMRI). Model parameters were evaluated manually to reproduce patient-derived data such as strain curves obtained from echocardiographic apical views. The model was able to reproduce the specific strain patterns observed in patients. A typical septal flash with pre-ejection shortening, rebound stretch, and delayed lateral wall activation was observed in the case of non-ischemic cardiomyopathy. In the case of lateral scar, the contractility of the lateral wall was significantly impaired and septal flash was absent. In the case of septal scar, septal flash and rebound stretch were also present as previously described in the literature. Interestingly, the model was also able to simulate the specific contractile properties of the myocardium, providing an excellent localization of LV scar in ischemic patients. The model was able to simulate the electromechanical delay and specific contractility patterns observed in patients with LBBB of ischemic and non-ischemic etiology. With further improvement and validation, this technique might be a useful tool for the diagnosis and treatment planning of heart failure patients needing CRT.

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Section: Introductionmentioning

confidence: 99%

Desynchronization Strain Patterns and Contractility in Left Bundle Branch Block through Computer Model Simulation

Owashi

Taconne

Courtial

et al. 2022

JCDD

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“…This analysis is essential for diagnosing, monitoring, and treating diseases [15,16]. At present, there are several studies focused on verifying and using cardiorespiratory models in different situations, including exercise [17,18], cardiovascular surgeries [19,20], respiratory disorders [21][22][23], mechanical ventilatory support [24], and others. Among these situations, physical exercise can be especially important to diagnosis and clinical prediction because exercise is a natural stimulus that generates significant and well-characterized variations in related physiological systems [25,26].…”

Section: Introductionmentioning

confidence: 99%

A Dynamic Fitting Strategy for Physiological Models: A Case Study of a Cardiorespiratory Model for the Simulation of Incremental Aerobic Exercise

Sarmiento,

Hernández,

Mañanas

et al. 2024

JPM

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Using mathematical models of physiological systems in medicine has allowed for the development of diagnostic, treatment, and medical educational tools. However, their complexity restricts, in most cases, their application for predictive, preventive, and personalized purposes. Although there are strategies that reduce the complexity of applying models based on fitting techniques, most of them are focused on a single instant of time, neglecting the effect of the system’s temporal evolution. The objective of this research was to introduce a dynamic fitting strategy for physiological models with an extensive array of parameters and a constrained amount of experimental data. The proposed strategy focused on obtaining better predictions based on the temporal trends in the system’s parameters and being capable of predicting future states. The study utilized a cardiorespiratory model as a case study. Experimental data from a longitudinal study of healthy adult subjects undergoing aerobic exercise were used for fitting and validation. The model predictions obtained in a steady state using the proposed strategy and the traditional single-fit approach were compared. The most successful outcomes were primarily linked to the proposed strategy, exhibiting better overall results regarding accuracy and behavior than the traditional population fitting approach at a single instant in time. The results evidenced the usefulness of the dynamic fitting strategy, highlighting its use for predictive, preventive, and personalized applications.

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“…We have recently proposed an integrated cardio-respiratory model adapted to the physiology of preterm neonates [9]. This model is an adaptation of an adult model previously proposed by our team [10][11][12]. Structural modifications were made as well as parameter adjustments based on the preterm infants literature [6,13], by scaling method [7] and manual adaptations.…”

Section: Introductionmentioning

confidence: 99%

Model-Based Analysis of Apnea-Bradycardias in Newborns

Duport¹,

Rolle²,

Guerrero³

et al. 2022

Computing in Cardiology Conference (CinC)

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In preterm infants, recurrent episodes of apnea, bradycardia and severe intermittent hypoxia are mainly related to cardiorespiratory immaturity. These episodes are associated with major risks during the first weeks of life. Cardiorespiratory data consisting of a continuous 12 hours recording of transthoracic impedance and ECG signals were acquired in 18 preterm neonates. 106 isolated apnea events (>10 sec) were manually annotated from the database, of which 19 apneas with bradycardia. A systemlevel physiological model of cardio-respiratory interactions in the newborn is proposed and used to reproduce simulations of mixed apneas with and without bradycardia, by modifying the functional residual capacity. A first qualitative comparison between the simulations and the clinical data shows a close match between the experimental and simulated heart rate series during apnea with bradycardia (RMSE 4.96 bpm) and without (RMSE 2.02 bpm).

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Modeling Patient-Specific Desaturation Patterns in Sleep Apnea

Cited by 6 publications

References 52 publications

Desynchronization Strain Patterns and Contractility in Left Bundle Branch Block through Computer Model Simulation

Desynchronization Strain Patterns and Contractility in Left Bundle Branch Block through Computer Model Simulation

A Dynamic Fitting Strategy for Physiological Models: A Case Study of a Cardiorespiratory Model for the Simulation of Incremental Aerobic Exercise

Model-Based Analysis of Apnea-Bradycardias in Newborns

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