Long-term survival in patients with post-LVAD right ventricular failure: multi-state modelling with competing outcomes of heart transplant

Right ventricular dysfunction in left ventricular assist device candidates: is it time to change our prospective?

The use of left ventricular assist devices (LVAD) has significantly increased in the last years, trying to offer a therapeutic alternative to heart transplantation, in light also to the significant heart donor shortage compared to the growing advanced heart failure population. Despite technological improvements in the devices, LVAD-related mortality is still fairly high, with right heart failure being one of the predominant predictors. Therefore, many efforts have been made toward a thorough right ventricular (RV) evaluation prior to LVAD implant, considering clinical, laboratory, echocardiographic, and invasive hemodynamic parameters. However, there is high heterogeneity regarding both which predictor is the strongest as well as the relative cut-off values, and a consensus has not been reached yet, increasing the risk of facing patients in which the distinction between good or poor RV function cannot be surely reached. In parallel, due to technological development and availability of mechanical circulatory support of the RV, LVADs are being considered even in patients with suboptimal RV function. The aim of our review is to analyze the current evidence regarding the role of RV function prior to LVAD and its evaluation, pointing out the extreme variability in parameters that are currently assessed and future prospective regarding new diagnostic tools. Finally, we attempt to gather the available information on the therapeutic strategies to use in the peri-operative phase, in order to reduce the incidence of RV failure, especially in patients in which the preoperative evaluation highlighted some conflicting results with regard to ventricular function.

Safety and efficacy of ProtekDuo right ventricular assist device: A systemic review

BACKGROUND

Right ventricular failure is associated with increased morbidity and mortality. The ProtekDuo (Livanova, Uk) is a dual-lumen cannula that allows for percutaneous right ventricular support and may be connected to a centrifugal blood pump such as the TandemHeart or LifeSparc (Livanova, UK). This systematic review aims to evaluate the safety and efficacy of ProtekDuo right ventricular support and evaluate potential clinical variables that can influence outcomes.

METHODS

PubMed, MEDLINE, SCOPUS, EMBASE, and the Cochrane Library were systematically searched. Studies meeting inclusion criteria, where ProtekDuo was used as the right ventricular assist device with reported numerical death counts for mortality as outcome measures. The primary endpoints were in-hospital 30-day and 1-year mortality rates. Secondary endpoints included ICU length of stay, conversion rates to surgical RVADs, ProtekDuo wean rates, duration of use of ProtekDuo, and adverse event rates.

RESULTS

Of 49 studies reviewed, 7 met inclusion criteria with study periods between October 2014 and November 2019. ProtekDuo was utilized due to RV failure post-LVAD insertion in 64.8% (68/105) of patients. In-hospital mortality, 30-day mortality, and 1-year mortality ranged between 9%-46%, 15%-40%, and 19%-40%, respectively. Weaning from ProtekDuo and conversion to surgical RVAD ranged between 24%-91% and 11%-35%, respectively. The ICU stay average ranged from 15.8 to 36 days and ProtekDuo mean support duration ranged from 10.5 to 58 days.

CONCLUSION

The ProtekDuo cannula is increasingly utilized as a right ventricular support device. Despite the sparse retrospective data available with variable patient characteristics and study design, percutaneous RV mechanical support via ProtekDuo cannula is a safe and feasible option.

Lung diffusion capacity correlates with pre-implant pulmonary hypertension and predicts outcome after LVAD implantation

AIMS

Diffusing capacity of the lung for carbon monoxide (DLCO ) reduction is common in heart failure (HF) and is associated with a worse prognosis. Correlations between DLCO and pulmonary hypertension (PH) are unclear, and published data are conflicting; it has been shown that DLCO impairment may persist or even worsen after normalization of pulmonary pressures following left ventricle assist device (LVAD) implantation, maybe reflecting persistent pulmonary damage. We aimed to investigate the impact of pre-implant DLCO and central haemodynamics on outcome in patients with advanced HF implanted with a LVAD.

METHODS AND RESULTS

We retrospectively analysed pre-implant and post-implant data from 42 patients implanted with a LVAD at our institution. Out of 42 patients, 35 had post-capillary PH before implantation, including 17 with combined post- and pre-capillary PH (Cpc-PH). Median DLCO was 59% (IQR 47-68%), and it inversely correlated with pulmonary vascular resistance (PVR) (P 0.037) and diastolic pulmonary gradient (DPG) (P 0.042). Compared with baseline, LVAD resulted in improvement in LV diameter (LVDd, P < 0.001), mitral regurgitation (P 0.022), and PH (mPAP 24 vs. 36 mmHg, P < 0.001; PAWP 12 vs. 23 mmHg, P 0.001; pulmonary artery compliance, CPA 3.1 vs. 1.9 mL/mmHg, P 0.021). Lower DLCO and Cpc-PH at baseline were associated with a better LV reverse remodelling post-implantation (P 0.027 for LVDd) but also with a smaller gain in CPA (P 0.049).

CONCLUSIONS

Before LVAD implantation, DLCO impairment is associated with higher PVR and DPG, suggesting that it might be an expression of persistent pulmonary damage occurring in Cpc-PH. After LVAD implantation, both LV dimension and haemodynamics improve. Lower pre-implant DLCO is associated with better LV reverse remodelling.

Exposure to Air Pollution during Pre-Hypertension and Subsequent Hypertension, Cardiovascular Disease, and Death: A Trajectory Analysis of the UK Biobank Cohort

BACKGROUND

The associations between air pollution exposure and morbidity and mortality of cardiovascular diseases (CVDs) have been widely reported; however, evidence on such associations across different dynamic disease trajectories remain unknown.

OBJECTIVE

We examined whether ambient air pollution during the prehypertension (pre-HTN) stage could aggravate the progression from hypertension (HTN) to CVD, and consequent death.

METHODS

A total of 168,010 adults with pre-HTN (120 - 139  mmHg systolic blood pressure or 80 - 89  mmHg diastolic blood pressure) from the UK Biobank were included in this analysis. We used a multistate model to explore the associations between five air pollutants (PM 2.5 , PM 2.5 absorbance, PM 10 , NO 2 , and NO x ) and the risk of six disease transitions (from pre-HTN to HTN, from pre-HTN to CVD, from pre-HTN to death, from HTN to CVD, from HTN to death, and from CVD to death). Mediation analyses were further conducted to explore the role of intermediate diseases in the dynamic progression of CVDs.

RESULTS

During a median follow-up of 12 y, 13,743 (8.18%) of participants with pre-HTN developed HTN, whereas 12,825 (7.63%) and 4,467 (2.66%) directly developed CVD or died, respectively. Air pollution was positively associated with the dynamic disease progression. For example, a per-interquartile range increase of PM 2.5 was significantly associated with the hazard ratios (HRs) of 1.105 [95% confidence intervals (CI): 1.083, 1.127], 1.045 (95% CI: 1.022, 1.068), and 1.086 (95% CI: 1.047, 1.126) in the transition from pre-HTN to HTN, CVD, and death, respectively. Higher levels of air pollution were associated with increased transition probability of disease progression. Mediation analyses indicated that intermediate diseases subsequently significantly mediated air pollutant-associated risk to develop more serious disease.

CONCLUSIONS

This study provides evidence that air pollution might play a role in the early stages of CVD progression. Controlling air pollution might be an effective measure to prevent CVD progression and reduce the disease burden of CVD. https://doi.org/10.1289/EHP10967.

Diastolic Plateau – Invasive Hemodynamic Marker of Adverse Outcome Among Left Ventricular Assist Device Patients

Background

Diastolic plateau is an invasive hemodynamic marker of impaired right ventricular (RV) diastolic filling. The purpose of the current analysis was to evaluate the prognostic importance of this sign in left ventricular assist device (LVAD) patients.

Methods

The analysis included all LVAD patients who received continuous-flow LVAD (HeartMate 3) at the Sheba medical center and underwent right heart catheterization (RHC) during follow up post-LVAD surgery. Patients were dichotomized into 2 mutually exclusive groups based on a plateau duration cutoff of 55% of diastole. The primary end point of the current analysis was the composite of death, heart transplantation, or increase in diuretic dosage in a 12-month follow-up period post-RHC.

Results

Study cohort included 59 LVAD patients with a mean age of 57 (IQR 54–66) of whom 48 (81%) were males. RHC was performed at 303 ± 36 days after LVAD surgery. Patients with and without diastolic plateau had similar clinical, echocardiographic, and hemodynamic parameters. Kaplan–Meier survival analysis showed that the cumulative probability of event at 1 year was 65 ± 49% vs. 21 ± 42% for primary outcomes among patients with and without diastolic plateau (p Log rank &lt; 0.05 for both). A multivariate model with adjustment for age, INTERMACS score and ischemic cardiomyopathy consistently showed that patients with diastolic plateau were 4 times more likely to meet the study composite end point (HR = 4.35, 95% CI 1.75–10.83, p = 0.002).

Conclusion

Diastolic plateau during RHC is a marker of adverse outcome among LVAD patients.

Predicting post-operative right ventricular failure using video-based deep learning

Despite progressive improvements over the decades, the rich temporally resolved data in an echocardiogram remain underutilized. Human assessments reduce the complex patterns of cardiac wall motion, to a small list of measurements of heart function. All modern echocardiography artificial intelligence (AI) systems are similarly limited by design - automating measurements of the same reductionist metrics rather than utilizing the embedded wealth of data. This underutilization is most evident where clinical decision making is guided by subjective assessments of disease acuity. Predicting the likelihood of developing post-operative right ventricular failure (RV failure) in the setting of mechanical circulatory support is one such example. Here we describe a video AI system trained to predict post-operative RV failure using the full spatiotemporal density of information in pre-operative echocardiography. We achieve an AUC of 0.729, and show that this ML system significantly outperforms a team of human experts at the same task on independent evaluation.