Left Ventricular Unloading in Extracorporeal Membrane Oxygenation: A Clinical Perspective Derived from Basic Cardiovascular Physiology.

PURPOSE OF REVIEW: To present an abridged overview of the literature and pathophysiological background of adjunct interventional left ventricular unloading strategies during veno-arterial extracorporeal membrane oxygenation (V-A ECMO). From a clinical perspective, the mechanistic complexity of such combined mechanical circulatory support often requires in-depth physiological reasoning at the bedside, which remains a cornerstone of daily practice for optimal patient-specific V-A ECMO care. RECENT FINDINGS: Recent conventional clinical trials have not convincingly shown the superiority of V-A ECMO in acute myocardial infarction complicated by cardiogenic shock as compared with medical therapy alone. Though, it has repeatedly been reported that the addition of interventional left ventricular unloading to V-A ECMO may improve clinical outcome. Novel approaches such as registry-based adaptive platform trials and computational physiological modeling are now introduced to inform clinicians by aiming to better account for patient-specific variation and complexity inherent to V-A ECMO and have raised a widespread interest. To provide modern high-quality V-A ECMO care, it remains essential to understand the patient's pathophysiology and the intricate interaction of an individual patient with extracorporeal circulatory support devices. Innovative clinical trial design and computational modeling approaches carry great potential towards advanced clinical decision support in ECMO and related critical care.

Circadian rhythms in pump parameters of patients on contemporary left ventricular assist device support.

BACKGROUND: Algorithms to monitor pump parameters are needed to further improve outcomes after left ventricular assist device (LVAD) implantation. Previous research showed a restored circadian rhythm in pump parameters in patients on HeartWare (HVAD) support. Circadian patterns in HeartMate3 (HM3) were not studied before, but this is important for the development of LVAD monitoring algorithms. Hence, we aimed to describe circadian patterns in HM3 parameters and their relation to patterns in heart rate (HR). METHODS: 18 HM3 patients were included in this study. HM3 data were retrieved at a high frequency (one sample per 1 or 2 h) for 1-2 weeks. HR was measured using a wearable biosensor. To study overall patterns in HM3 parameters and HR, a heatmap was created. A 24-h cosine was fitted on power and HR separately. The relationship between the amplitude of the fitted cosines of power and HR was calculated using Spearman correlation. RESULTS: A lower between patient variability was found in power compared with flow and PI. 83% of the patients showed a significant circadian rhythmicity in power (p < 0.001-0.04), with a clear morning increase. All patients showed significant circadian rhythmicity in HR (p < 0.001-0.02). The amplitudes of the circadian rhythm in power and HR were not correlated (Spearman correlation of 0.32, p = 0.19). CONCLUSIONS: A circadian rhythm of pump parameters is present in the majority of HM3 patients. Higher frequency pump parameter data should be collected, to enable early detection of complications in the future development of predictive algorithms.

Computational physiological models for individualised mechanical ventilation: a systematic literature review focussing on quality, availability, and clinical readiness.

BACKGROUND: Individualised optimisation of mechanical ventilation (MV) remains cumbersome in modern intensive care medicine. Computerised, model-based support systems could help in tailoring MV settings to the complex interactions between MV and the individual patient's pathophysiology. Therefore, we critically appraised the current literature on computational physiological models (CPMs) for individualised MV in the ICU with a focus on quality, availability, and clinical readiness. METHODS: A systematic literature search was conducted on 13 February 2023 in MEDLINE ALL, Embase, Scopus and Web of Science to identify original research articles describing CPMs for individualised MV in the ICU. The modelled physiological phenomena, clinical applications, and level of readiness were extracted. The quality of model design reporting and validation was assessed based on American Society of Mechanical Engineers (ASME) standards. RESULTS: Out of 6,333 unique publications, 149 publications were included. CPMs emerged since the 1970s with increasing levels of readiness. A total of 131 articles (88%) modelled lung mechanics, mainly for lung-protective ventilation. Gas exchange (n = 38, 26%) and gas homeostasis (n = 36, 24%) models had mainly applications in controlling oxygenation and ventilation. Respiratory muscle function models for diaphragm-protective ventilation emerged recently (n = 3, 2%). Three randomised controlled trials were initiated, applying the Beacon and CURE Soft models for gas exchange and PEEP optimisation. Overall, model design and quality were reported unsatisfactory in 93% and 21% of the articles, respectively. CONCLUSION: CPMs are advancing towards clinical application as an explainable tool to optimise individualised MV. To promote clinical application, dedicated standards for quality assessment and model reporting are essential. Trial registration number PROSPERO- CRD42022301715 . Registered 05 February, 2022.

A cardiovascular simulator tailored for training and clinical uses.

OBJECTIVE: In the present work a cardiovascular simulator designed both for clinical and training use is presented. METHOD: The core of the simulator is a lumped parameter model of the cardiovascular system provided with several modules for the representation of baroreflex control, blood transfusion, ventricular assist device (VAD) therapy and drug infusion. For the training use, a Pre-Set Disease module permits to select one or more cardiovascular diseases with a different level of severity. For the clinical use a Self-Tuning module was implemented. In this case, the user can insert patient's specific data and the simulator will automatically tune its parameters to the desired hemodynamic condition. The simulator can be also interfaced with external systems such as the Specialist Decision Support System (SDSS) devoted to address the choice of the appropriate level of VAD support based on the clinical characteristics of each patient. RESULTS: The Pre-Set Disease module permits to reproduce a wide range of pre-set cardiovascular diseases involving heart, systemic and pulmonary circulation. In addition, the user can test different therapies as drug infusion, VAD therapy and volume transfusion. The Self-Tuning module was tested on six different hemodynamic conditions, including a VAD patient condition. In all cases the simulator permitted to reproduce the desired hemodynamic condition with an error<10%. CONCLUSIONS: The cardiovascular simulator could be of value in clinical arena. Clinicians and students can utilize the Pre-Set Diseases module for training and to get an overall knowledge of the pathophysiology of common cardiovascular diseases. The Self-Tuning module is prospected as a useful tool to visualize patient's status, test different therapies and get more information about specific hemodynamic conditions. In this sense, the simulator, in conjunction with SDSS, constitutes a support to clinical decision - making.

Tailoring the hybrid palliation for hypoplastic left heart syndrome: A simulation study using a lumped parameter model.

The results of Hybrid procedure (HP) for the hypoplastic left heart syndrome (HLHS) depend on several variables: pulmonary artery banding tightness (PAB), atrial septal defect size (ASD) and patent ductus arteriosus stent size (PDA). A HP complication could be the aortic coarctaction (CoAo). The reverse Blalock-Taussig shunt (RevBT) placement was proposed to avoid CoAo effects. This work aims at developing a lumped parameter model (LPM) to investigate the effects of the different variables on HP haemodynamics. A preliminary verification was performed collecting measurements on a newborn HLHS patient to calculate LPM input parameters to reproduce patient's baseline. Results suggest that haemodynamics is affected by ASD (ASD: 0.15-0.55 cm, pulmonary to systemic flow ratio Qp/Qs: 0.73-1, cardiac output (CO): 1-1.5 l/min and ventricular stroke work SW: 336-577 ml mmHg) and by the PAB diameter (PAB: 0.07-0.2 cm, Qp/Qs: 0.46-2.1, CO: 1.3-1.6 l/min and SW: 591-535 ml mmHg). Haemodynamics was neither affected by RevBT diameter nor by PDA diameter higher than 0.2 cm. RevBT implantation does not change the HP haemodynamics, but it can make the CoAo effect negligible. LPM could be useful to support clinical decision in complex physiopathology and to calibrate and personalise the parameters that play a role on flow distribution.

Experimental integration of Autoregulation Unit for left ventricular assist devices in a cardiovascular hybrid simulator.

In this paper, an Autoregulation Unit (ARU) for left ventricular sensorized assist devices (LVAD) has been used with a cardiovascular hybrid simulator mimicking physiological and pathological patient conditions. The functionalities of the ARU have been demonstrating for the successful receiving and visualization of system parameters, sending of commands for LVAD speed changes, and enabling of the autonomous flow control algorithm. Experiments of speed changes and autoregulation are reported, showing the feasibility of the approach for both local and remote control of a LVAD.

Towards a personalized and dynamic CRT-D. A computational cardiovascular model dedicated to therapy optimization.

BACKGROUND: In spite of cardiac resynchronization therapy (CRT) benefits, 25-30% of patients are still non responders. One of the possible reasons could be the non optimal atrioventricular (AV) and interventricular (VV) intervals settings. Our aim was to exploit a numerical model of cardiovascular system for AV and VV intervals optimization in CRT. METHODS: A numerical model of the cardiovascular system CRT-dedicated was previously developed. Echocardiographic parameters, Systemic aortic pressure and ECG were collected in 20 consecutive patients before and after CRT. Patient data were simulated by the model that was used to optimize and set into the device the intervals at the baseline and at the follow up. The optimal AV and VV intervals were chosen to optimize the simulated selected variable/s on the base of both echocardiographic and electrocardiographic parameters. RESULTS: Intervals were different for each patient and in most cases, they changed at follow up. The model can well reproduce clinical data as verified with Bland Altman analysis and T-test (p > 0.05). Left ventricular remodeling was 38.7% and left ventricular ejection fraction increasing was 11% against the 15% and 6% reported in literature, respectively. CONCLUSIONS: The developed numerical model could reproduce patients conditions at the baseline and at the follow up including the CRT effects. The model could be used to optimize AV and VV intervals at the baseline and at the follow up realizing a personalized and dynamic CRT. A patient tailored CRT could improve patients outcome in comparison to literature data.

The role of extracellular conditions during CaCo-2 cells growth: a preliminary study for numerical model validation.

OBJECTIVES: One important limitation in cell therapy protocols, and regenerative medicine (an innovative and promising strategy for different pathologies treatment), is the lack of knowledge about cells engraftment, proliferation and differentiation. In order to allow an efficient and successful cell transplant, it is necessary to predict the logistics, economic and timing issues during cellular injection. It has been reported that several parameters, such as cells number, temperature and extracellular pH (pH0) value can influence metabolic pathways and cellular growth. Numerical analysis and model can help to reduce and understand the effects of the above environmental conditions on cell survival. The aim of this paper is to develop the first step of cells transplantation in order to identify "in vitro", which parameters can be useful to develop and validate a numerical model, able to evaluate "in vivo" cells engraftment and proliferation. MATERIAL AND METHODS: We studied the variation of extracellular parameters--such as medium volume, buffer system, nutrient concentrations and temperature on human colon carcinoma cells (CaCo-2) "in vitro culture"--pursuing the goal of understanding in deeper details cellular processes such as growth, metabolic activity, survival and pH0. RESULTS: Results showed that CaCo-2 cells growth and mortality increase after two days in culture when cells were suspended in 3.5 ml volume to respect of 10 ml volume. Different temperature values influenced CaCo-2 cells growth and metabolic activity showing a direct relationship with the volume of the medium. CONCLUSIONS: Our results describe as CaCo-2 cell growth, metabolic activity, mortality and extracellular pH were influenced by extracellular parameters, enabling us to develop and validate a numerical model to be use to predict cells engraftment and proliferation.

Cardiac resynchronization therapy: could a numerical simulator be a useful tool in order to predict the response of the biventricular pacemaker synchronization?

BACKGROUND AND OBJECTIVES: Cardiac resynchronization therapy (CRT) can be considered as an established therapy for patients with moderate or severe heart failure (HF), depressed systolic function and a wide QRS complex. Biventricular stimulation through the CRT is applied at patients with an intra and/or inter-ventricular conduction delay. The goal of this technique is to resynchronize contraction between and within ventricles. A numerical model of the cardiovascular system, together with the numerical model of the biventricular pacemaker (BPM), can be an useful tool to study the better synchronization of the BPM in order to reduce the inter-ventricular and/or intra-ventricular conduction delay. SUBJECTS AND METHODS: Within a group of patients which were representative of the most common disease etiologies of heart failure, seven patients, affected by dilated cardiomyopathy undergoing CRT with BPM, were studied and simulated using the numerical model of the cardiovascular system CARDIOSIM. The patients were submitted to echocardiographic evaluation (with pulsate Doppler and tissue Doppler imaging) and electrocardiography evaluation in order to evaluate intra-ventricular and/or inter-ventricular dyssynchrony. These evaluations were made three times: the first one before BPM implantation, the second and the third one respectively within seven days and six months after BPM implantation. Also haemodynamic parameters were measured. Using the software simulator, the pathological conditions before CRT, within seven days and within six months since CRT were reproduced for each patients in order to evaluate the following haemodynamic parameters: the end-systolic and end-diastolic left ventricular volume, the systolic pulmonary arterial pressure, the systolic, diastolic and mean aortic blood pressure and the ejection fraction. Also the trend of the left ventricular elastance was studied for each patient in order to evaluate the benefits produced by the CRT. RESULTS: The results obtained by means the numerical simulator were in good agreement with clinical data measured on the patients. For each patient also the evolution of the left ventricular elastance was in accordance with the literature data. CONCLUSION: The cardiovascular numerical model seems to be a useful tool to study the synchronization of the BPM in order to reduce the inter-ventricular and/or intra-ventricular conduction delay and to reproduce the condition of a patient.