Outcomes of left ventricular assist device implantation as destination therapy in the post-REMATCH era: implications for patient selection

Outcomes of Left Ventricular Assist Devices as Destination Therapy: A Systematic Review with Meta-Analysis

BACKGROUND

Heart failure (HF) is a chronic condition that significantly affects morbidity and mortality. For patients with end-stage HF who are not candidates for heart transplantation, left ventricular assist devices (LVADs) provide mechanical circulatory support as a long-term solution, known as destination therapy (DT).

OBJECTIVE

This meta-analysis aims to synthesize evidence on the survival rates, complications, and quality-of-life improvements associated with LVADs used as destination therapy in patients with end-stage HF.

METHODS

A systematic search of databases, including PubMed, Embase, Cochrane Library, Web of Science, and Scopus, was conducted to identify relevant studies. Studies were selected based on predefined inclusion and exclusion criteria. Data from 12 studies were extracted and analyzed using a random-effects model. Survival rates, complications (e.g., infection and bleeding), and quality-of-life measures were the primary outcomes evaluated.

RESULTS

The analysis showed significant improvements in survival, with a pooled effect size of 0.848 (95% CI: 0.306-1.390, p = 0.002). Complication rates varied, with infections and bleeding being the most common adverse events. Quality of life also improved significantly post-LVAD implantation, with a standardized mean difference of 0.78 (95% CI: 0.65-0.91).

CONCLUSIONS

LVADs as destination therapy provide a viable option for improving the survival and quality of life of end-stage HF patients, despite the associated risks of complications. Further research is needed to refine patient selection and management strategies to optimize outcomes.

Association between malnutrition risk and the prognosis of geriatric heart failure patients undergoing left ventricular assist device implantation

BACKGROUND

Evidence regarding the association between malnutrition risk and the prognosis of geriatric heart failure (HF) patients undergoing left ventricular assist device (LVAD) implantation is lacking. Our study aims to investigate how malnutrition risk, assessed using the geriatric nutritional risk index (GNRI) values, relates to the outcomes of geriatric HF patients undergoing LVAD, using data from the Interagency Registry for Mechanically Assisted Circulatory Support (INTERMACS) registry.

METHODS

A retrospective analysis was conducted using data from INTERMACS registry. Patients aged 65 and above who received LVAD implantation between 2008 and 2017 were included. The GNRI was used to stratify patients into three groups: absence of risk (GNRI > 98), mild risk (GNRI 92-98), and moderate to severe risk (GNRI < 92). The primary outcome was long-term survival for up to four years following LVAD implantation.

RESULTS

We included 5429 patients aged 65 and above undergoing LVADs. The malnutrition risk was presented in 75.8% of the patients before implantation, decreasing to 32.4% at 3 months, and 59.5% at 24 months post-implantation. Moderate-to-severe malnutrition risk, both pre-implant and 6 months post-implant, was associated with an increased risk of death (pre-implant: hazard ratio (HR): 1.25 [95% CI: 1.12-1.40], p < 0.001; 6 months: HR: 2.36 [95% CI: 2.01-2.77], p < 0.001). Mortality decreased with increasing pre-implant GNRI up to approximately 100 and 6-month post-implant GNRI up to 104. Patients with malnutrition risk also had an increased risk of infection, poor quality of life (QoL), and reduced functional exercise capacity after the LVAD implantation.

CONCLUSIONS

Malnutrition risk was highly prevalent in HF patients aged 65 and above undergoing LVADs implantation. The presence of malnutrition risk was associated with an increased risk of death, infection, poor quality of life, and reduced functional exercise capacity.

A Machine Learning-derived Risk Score Improves Prediction of Outcomes After LVAD Implantation: An Analysis of the INTERMACS Database

BACKGROUND

Significant variability in outcomes after left ventricular assist device (LVAD) implantation emphasize the importance of accurately assessing patients' risk before surgery. This study assesses the Machine Learning Assessment of Risk and Early Mortality in Heart Failure (MARKER-HF) mortality risk model, a machine learning-based tool using 8 clinical variables, to predict post-LVAD implantation mortality and its prognostic enhancement over the Interagency Registry of Mechanically Assisted Circulatory Support (INTERMACS) profile.

METHODS

Analyzing 25,365 INTERMACS database patients (mean age 56.8 years, 78% male), 5,663 (22.3%) and 19,702 (77.7%) received HeartMate 3 and other types of LVAD, respectively. They were categorized into low, moderate, high, and very high-risk groups based on MARKER-HF score. The outcomes of interest were in-hospital and 1-year postdischarge mortality.

RESULTS

In patients receiving HeartMate 3 devices, 6.2% died during the index hospitalization. In-hospital mortality progressively increased from 4.4% in low-risk to 15.2% in very high-risk groups with MARKER-HF score. MARKER-HF provided additional risk discrimination within each INTERMACS profile. Combining MARKER-HF score and INTERMACS profile identified patients with the lowest (3.5%) and highest in-hospital mortality rates (19.8%). The postdischarge mortality rate at 1 year was 5.8% in this population. In a Cox proportional hazard regression analysis adjusting for both MARKER-HF and INTERMACS profile, only MARKER-HF score (hazard ratio 1.27, 95% confidence interval 1.11-1.46, P < .001) was associated with postdischarge mortality. Similar findings were observed for patients receiving other types of LVADs.

CONCLUSIONS

The MARKER-HF score is a valuable tool for assessing mortality risk in patients with HF undergoing HeartMate 3 and other LVAD implantation. It offers prognostic information beyond that of the INTERMACS profile alone and its use should help in the shared decision-making process for LVAD implantation.

International Society for Heart and Lung Transplantation Guidelines for the Evaluation and Care of Cardiac Transplant Candidates-2024

The "International Society for Heart and Lung Transplantation Guidelines for the Evaluation and Care of Cardiac Transplant Candidates-2024" updates and replaces the "Listing Criteria for Heart Transplantation: International Society for Heart and Lung Transplantation Guidelines for the Care of Cardiac Transplant Candidates-2006" and the "2016 International Society for Heart Lung Transplantation Listing Criteria for Heart Transplantation: A 10-year Update." The document aims to provide tools to help integrate the numerous variables involved in evaluating patients for transplantation, emphasizing updating the collaborative treatment while waiting for a transplant. There have been significant practice-changing developments in the care of heart transplant recipients since the publication of the International Society for Heart and Lung Transplantation (ISHLT) guidelines in 2006 and the 10-year update in 2016. The changes pertain to 3 aspects of heart transplantation: (1) patient selection criteria, (2) care of selected patient populations, and (3) durable mechanical support. To address these issues, 3 task forces were assembled. Each task force was cochaired by a pediatric heart transplant physician with the specific mandate to highlight issues unique to the pediatric heart transplant population and ensure their adequate representation. This guideline was harmonized with other ISHLT guidelines published through November 2023. The 2024 ISHLT guidelines for the evaluation and care of cardiac transplant candidates provide recommendations based on contemporary scientific evidence and patient management flow diagrams. The American College of Cardiology and American Heart Association modular knowledge chunk format has been implemented, allowing guideline information to be grouped into discrete packages (or modules) of information on a disease-specific topic or management issue. Aiming to improve the quality of care for heart transplant candidates, the recommendations present an evidence-based approach.

AI hybrid survival assessment for advanced heart failure patients with renal dysfunction

Renal dysfunction (RD) often characterizes the worse course of patients with advanced heart failure (AHF). Many prognosis assessments are hindered by researcher biases, redundant predictors, and lack of clinical applicability. In this study, we enroll 1736 AHF/RD patients, including data from Henan Province Clinical Research Center for Cardiovascular Diseases (which encompasses 11 hospital subcenters), and Beth Israel Deaconess Medical Center. We developed an AI hybrid modeling framework, assembling 12 learners with different feature selection paradigms to expand modeling schemes. The optimized strategy is identified from 132 potential schemes to establish an explainable survival assessment system: AIHFLevel. The conditional inference survival tree determines a probability threshold for prognostic stratification. The evaluation confirmed the system's robustness in discrimination, calibration, generalization, and clinical implications. AIHFLevel outperforms existing models, clinical features, and biomarkers. We also launch an open and user-friendly website www.hf-ai-survival.com , empowering healthcare professionals with enhanced tools for continuous risk monitoring and precise risk profiling.

Effectiveness of mechanical circulatory support devices in reversing pulmonary hypertension among heart transplant candidates: A systematic review

BACKGROUND

Pulmonary hypertension (PH) poses a significant challenge in the selection of candidates for heart transplantation, impacting their eligibility and post-transplant outcomes. Mechanical circulatory support (MCS) devices, particularly left ventricular assist devices (LVADs), have emerged as a therapeutic option to manage PH in this patient population. This systematic review aims to evaluate the effectiveness of MCS devices in reversing fixed pulmonary hypertension in heart transplant candidates.

METHODS

A comprehensive literature search was conducted across multiple databases, including PubMed, Scopus, and Web of Science, to identify studies that evaluated the effectiveness of MCS devices in reversing fixed pulmonary hypertension in heart transplant candidates. Data on pulmonary vascular resistance, PH reversal, heart transplant eligibility, and post-transplant outcomes were extracted and synthesized.

RESULTS

The review included studies that demonstrated the potential of MCS devices, especially LVADs, to significantly reduce pulmonary vascular resistance and reverse fixed pulmonary hypertension in heart transplant candidates. These findings suggest that MCS devices can improve transplant eligibility and may positively impact post-transplant survival rates. However, the literature also indicates a need for further comparative studies to optimize MCS device selection and treatment protocols.

CONCLUSION

MCS devices, particularly LVADs, play a crucial role in the management of fixed pulmonary hypertension in heart transplant candidates, improving their eligibility for transplantation and potentially enhancing post-transplant outcomes. Future research should focus on comparative effectiveness studies to guide clinical decision-making and optimize patient care in this challenging clinical scenario.

Value of nutritional indices in predicting survival free from pump replacement and driveline infections in centrifugal left ventricular assist devices

Objective

There is a paucity of data assessing the impact of nutritional status on outcomes in patients supported with the HeartMate 3 (HM3) left ventricular assist device (LVAD).

Methods

Patients ≥18 years of age who underwent HM3 LVAD implantation between 2015 and 2020 were identified from a single tertiary care center. The primary outcome assessed was death or device replacement. A secondary outcome of driveline infection was also evaluated. Kaplan-Meier survival analysis and a multivariate Cox-proportional hazards model were used to identify predictors of outcome.

Results

Of the 289 patients identified, 94 (33%) experienced a primary outcome and 96 (33%) a secondary outcome during a median follow-up time of 2.3 years. Independent predictors of the primary outcome included peripheral vascular disease (hazard ratio [HR], 3.40; 95% confidence interval [CI], 1.66-6.97, P < .01), diabetes mellitus (HR, 0.46; 95% CI, 0.27-0.80, P < .01), body mass index ≥40 kg/m2 (HR, 2.63 per 1 kg/m2 increase; 95% CI, 1.22-5.70, P < .05), preoperative creatinine level (HR, 1.86 per 1 mg/dL increase; 95% CI, 1.31-2.65, P < .01), and preoperative prognostic nutritional index (PNI) score (HR, 0.88 per 1-point increase; 95% CI, 0.81-0.96, P < .01). Independent predictors of driveline infection included age at the time of implantation (HR, 0.97; 95% CI, 0.96-0.99, P < .01) and diabetes mellitus (HR, 1.79; 95% CI, 1.17-2.73, P < .01).

Conclusions

Preoperative PNI scores may independently predict mortality and the need for device replacement in patients with HM3 LVAD. Routine use of the PNI score during preoperative evaluation and, when possible, supplementation to PNI >33, may be of value in this population.

Artificial Intelligence Approaches for Predicting the Risks of Durable Mechanical Circulatory Support Therapy and Cardiac Transplantation

Background: The use of AI-driven technologies in probing big data to generate better risk prediction models has been an ongoing and expanding area of investigation. The AI-driven models may perform better as compared to linear models; however, more investigations are needed in this area to refine their predictability and applicability to the field of durable MCS and cardiac transplantation. Methods: A literature review was carried out using Google Scholar/PubMed from 2000 to 2023. Results: This review defines the knowledge gaps and describes different AI-driven approaches that may be used to further our understanding. Conclusions: The limitations of current models are due to missing data, data imbalances, and the uneven distribution of variables in the datasets from which the models are derived. There is an urgent need for predictive models that can integrate a large number of clinical variables from multicenter data to account for the variability in patient characteristics that influence patient selection, outcomes, and survival for both durable MCS and HT; this may be fulfilled by AI-driven risk prediction models.

Changing Strategy Between Bridge to Transplant and Destination LVAD Therapy After the First 3 Months: Analysis of the STS-INTERMACS Database

BACKGROUND

Left ventricular assist devices (LVADs) have been implanted as bridge to transplantation (BTT), bridge to candidacy (BTC) or destination therapy (DT) on the basis of relative and absolute contraindications to transplantation. Multiple factors may lead to changes in the strategy of support after LVAD implantation.

METHODS

Based on INTERMACS (Interagency Registry for Mechanically Assisted Circulatory Support) 2012-2020 data, 11,262 patients survived to 3 months on continuous-flow LVADs with intent of BTT or DT. Preimplant characteristics and early events post-LVAD were analyzed in relation to changes in BTT or DT strategy during the next 12 months.

RESULTS

Among 3216 BTT patients at 3 months, later transplant delisting or death without transplant occurred in 536 (16.7%) and was more common with age, profiles 1-2, renal dysfunction, and independently for prior cardiac surgery (HR 1.25, 95% CI 1.04-1.51; P = 0.02). Post-LVAD events of infections, gastrointestinal bleeding, stroke, and right heart failure as defined by inotropic therapy, predicted delisting and death, as did in-hospital location at 3 months (HR 1.67, 95% CI 1.20-2.33; P = 0.0024). Of 8046 patients surviving to 3 months with the intent of destination therapy, 750 (9.3%) subsequently underwent listing or transplantation, often with initial histories of acute HF (HR 1.70, 95% CI 1.27-2.27; P = 0.0012) or malnutrition-cachexia (1.73, 95% CI 1.14-2.63; P = 0.0099). Multiple gastrointestinal bleeding events (≥ 4) with LVAD increased transition from BTT to DT (HR 4.22, 95% CI 1.46-12.275; P = 0.0078) but also from DT to BTT (HR 5.17, 95% CI 1.92-13.9; P = 0.0011).

CONCLUSIONS

Implant strategies change over time in relation to preimplant characteristics and adverse events post implant. Preimplant recognition of factors predicting later change in implant strategy will refine initial triage, whereas further reduction of post-LVAD complications will expand options, including eventual consideration of heart transplantation.

Pectoral muscle mass is not a robust prognostic factor for survival after left ventricular assist device (LVAD) implantation

BACKGROUND

Left ventricular assist devices (LVAD) are an established treatment for end-stage left ventricular heart failure. Parameters are needed to identify the most appropriate patients for LVADs. This study aimed to evaluate pectoral muscle mass and density as prognostic parameters.

METHODS

This single-center study included all patients with LVAD implantation between January 2010 and October 2017 and a preoperative chest CT scan. Pectoral muscle mass was assessed using the Pectoralis Muscle Index (PMI, surface area indexed to height, cm2/m2) and pectoral muscle density by Hounsfield Units (HU). Overall mortality was analyzed with Kaplan-Meier survival analysis and 1-year and 3-year mortality with receiver operating characteristic (ROC) curves and Cox regression models.

RESULTS

57 patients (89.5% male, mean age 57.8 years) were included. 64.9% of patients had end-stage left ventricular failure due to ischemic heart disease and 35.1% due to dilated cardiomyopathy. 49.2% of patients had preoperative INTERMACS profile of 1 or 2 and 33.3% received mechanical circulatory support prior to LVAD implantation. Total mean PMI was 4.7 cm2/m2 (± 1.6), overall HU of the major pectoral muscle was 39.0 (± 14.9) and of the minor pectoral muscle 37.1 (± 16.6). Mean follow-up was 2.8 years (± 0.2). Mortality rates were 37.5% at 1 year and 48.0% at 3 years. Neither PMI nor HU were significantly associated with overall mortality at 1-year or 3-year.

CONCLUSIONS

The results of our study do not confirm the association between higher pectoral muscle mass and better survival after LVAD implantation previously described in the literature.

The Role of Artificial Intelligence and Machine Learning in the Prediction of Right Heart Failure after Left Ventricular Assist Device Implantation: A Comprehensive Review

One of the most challenging and prevalent side effects of LVAD implantation is that of right heart failure (RHF) that may develop afterwards. The purpose of this study is to review and highlight recent advances in the uses of AI in evaluating RHF after LVAD implantation. The available literature was scanned using certain key words (artificial intelligence, machine learning, left ventricular assist device, prediction of right heart failure after LVAD) was scanned within Pubmed, Web of Science, and Google Scholar databases. Conventional risk scoring systems were also summarized, with their pros and cons being included in the results section of this study in order to provide a useful contrast with AI-based models. There are certain interesting and innovative ML approaches towards RHF prediction among the studies reviewed as well as more straightforward approaches that identified certain important predictive clinical parameters. Despite their accomplishments, the resulting AUC scores were far from ideal for these methods to be considered fully sufficient. The reasons for this include the low number of studies, standardized data availability, and lack of prospective studies. Another topic briefly discussed in this study is that relating to the ethical and legal considerations of using AI-based systems in healthcare. In the end, we believe that it would be beneficial for clinicians to not ignore these developments despite the current research indicating more time is needed for AI-based prediction models to achieve a better performance.

Contemporary Evidence and Practice on Right Heart Catheterization in Patients with Acute or Chronic Heart Failure

Heart failure (HF) has a global prevalence of 1-2%, and the incidence around the world is growing. The prevalence increases with age, from around 1% for those aged <55 years to >10% for those aged 70 years or over. Based on studies in hospitalized patients, about 50% of patients have heart failure with reduced ejection fraction (HFrEF), and 50% have heart failure with preserved ejection fraction (HFpEF). HF is associated with high morbidity and mortality, and HF-related hospitalizations are common, costly, and impact both quality of life and prognosis. More than 5-10% of patients deteriorate into advanced HF (AdHF) with worse outcomes, up to cardiogenic shock (CS) condition. Right heart catheterization (RHC) is essential to assess hemodynamics in the diagnosis and care of patients with HF. The aim of this article is to review the evidence on RHC in various clinical scenarios of patients with HF.

Thrombotic and Hemorrhagic Complications Following Left Ventricular Assist Device Placement: An Emphasis on Gastrointestinal Bleeding, Stroke, and Pump Thrombosis

The left ventricular assist device (LVAD) is a mechanical circulatory support device that supports the heart failure patient as a bridge to transplant (BTT) or as a destination therapy for those who have other medical comorbidities or complications that disqualify them from meeting transplant criteria. In patients with severe heart failure, LVAD use has extended survival and improved signs and symptoms of cardiac congestion and low cardiac output, such as dyspnea, fatigue, and exercise intolerance. However, these devices are associated with specific hematologic and thrombotic complications. In this manuscript, we review the common hematologic complications of LVADs.

Deactivation of Left Ventricular Assist Devices at the End of Life: Narrative Review and Ethical Framework

Left ventricular assist devices (LVADs) have become an increasingly common advanced therapy in patients with severe symptomatic heart failure. Their unique nature in prolonging life through incorporation into the circulatory system raises ethical questions regarding patient identity and values, device ontology, and treatment categorization; approaching requests for LVAD deactivation requires consideration of these factors, among others. To that end, clinicians would benefit from a deeper understanding of: 1) the history and nature of LVADs; 2) the wider context of device deactivation and associated ethical considerations; and 3) an introductory framework incorporating best practices in requests for LVAD deactivation (specifically in controversial situations without obvious medical or device-related complications). In such decisions, heart failure teams can safeguard patient preferences without compromising ethical practice through more explicit advance care planning before LVAD implantation, early integration of hospice and palliative medicine specialists (maintained throughout the disease process), and further research interrogating behaviors and attitudes related to LVAD deactivation.

Clinical Characteristics and Outcomes of Clostridioides difficile Infection in Patients With Left Ventricular Assist Device

The literature regarding Clostridioides difficile infection (CDI) in left ventricular assist devices (LVADs) patients is limited. Therefore, we aimed to characterize the clinical course, risk factors, management, and outcomes of LVAD patients who developed CDI. Adult patients who underwent LVAD placement during 2010-2022 and developed CDI were included. To determine risk factors and outcomes, we matched CDI patients with LVAD patients who did not develop CDI. Each CDI case was matched with up to two control subjects by age, sex, and time from LVAD implantation. Forty-seven of 393 LVAD patients (12.0%) developed CDI. The median time from LVAD implantation to CDI was 147 days (interquartile range 22.5-647.0). The most common CDI treatment was oral vancomycin (n = 26, 55.3%). Thirteen patients (27.7%) required treatment extension because of a lack of clinical response. Three patients (6.4%) developed recurrent CDI. When 42 cases were matched to 79 control subjects, antibiotic exposure within 90 days was significantly associated with CDI (adjusted odds ratio 5.77; 95% confidence interval, 1.87-17.74; p = 0.002). Moreover, CDI was associated with 1 year mortality (adjusted hazard ratio 2.62; 95% confidence interval, 1.18-5.82; p = 0.018). This infection occurs most often within the first year after LVAD implantation and was associated with 1 year mortality. Antibiotic exposure is an important risk for CDI.

How to select a patient for LVAD

Left ventricular assist device (LVAD) implantation leads to improvement in symptoms and survival in patients with advanced heart failure. An important factor in improving outcomes post-LVAD implantation is optimal preoperative patient selection and optimization. In this review, we highlight the latest on the evaluation of patients with advanced heart failure for LVAD candidacy, including discussion of patient selection, implantation timing, laboratory and other testing considerations, and the importance of psychosocial evaluation. Such thorough evaluation by multidisciplinary team can serve to improve the outcomes of a complex group of patients with advanced heart failure being evaluated for LVAD.

Left Ventricular Assist Device as a Destination Therapy: Current Situation and the Importance of Patient Selection

Advanced heart failure is a growing problem for which the best treatment is cardiac transplantation. However, the shortage of donors' hearts made left ventricular assist devices as destination therapy (DT-LVAD) a highly recommended alternative: they improved mid-term prognosis as well as patients' quality of life. Current intracorporeal pumps with a centrifugal continuous flow evolved in the last few years. Since 2003, when first LVAD was approved for long-term support, smaller device sizes with better survival and hemocompatibility profile were reached. The most important difficulty lies in the moment of the implant. Recent indications range from INTERMACS class 2 to 4, with close monitoring in intermediate cases. Moreover, a large multiparametric study is needed for considering the candidacy: basal situation, with a special interest in frailty, comorbidities, including renal and hepatic dysfunction, and medical background, considering every prior cardiac condition, must be evaluated. In addition, some clinical risk scores can be helpful to measure the possibility of right heart failure or morbi-mortality. With this review, we sought to summarize all the device improvements, with their updated clinical results, as well as to focus on all the patient selection criteria.

Total Joint Arthroplasty in Patients With an Implanted Left Ventricular Assist Device

Left ventricular assist devices (LVADs) may be used as bridge therapy or destination therapy in heart failure patients. Total joint arthroplasty may improve the functional status of patients limited by arthritis. This retrospective case series evaluated patients with an implanted LVAD who underwent a total joint arthroplasty at 1 institution from 2012 to present. Five patients underwent 12 surgeries with 7 primary arthroplasties and 5 revisions. Their mortality, length of stay, coagulopathic events, incidence of infection or revision arthroplasty, and heart transplantation were evaluated, and is the largest study to date of this population. Two patients expired from thrombotic events while 3 progressed to heart transplantation. Joint arthroplasty is feasible in patients with an implanted LVAD with expected risk and perioperative multidisciplinary collaboration.

Microembolic signal monitoring in patients with HeartMate 3 and HeartWare left ventricular assist devices: Association with antithrombotic treatment and cerebrovascular events

BACKGROUND

In patients with left ventricular assist devices (LVADs), ischemic and hemorrhagic stroke are dreaded complications. Predictive markers for these events are lacking. This study aimed to investigate the prevalence and predictive value of microembolic signals (MES) for stroke, detected by Transcranial Doppler sonography (TCD) in patients with HeartMate 3 (HM 3) or HeartWare (HW).

METHODS

A thirty-minute bilateral TCD monitoring of the middle cerebral artery (MCA) was performed in 62 outpatients with LVAD (HM 3 N = 31, HW N = 31) and 31 healthy controls. Prevalence and quantity of MES were investigated regarding clinical and laboratory parameters. Cerebrovascular events (CVE) were recorded on follow-up at 90 and 180 days.

RESULTS

MES were detected in six patients with HM 3, three patients with HW, and three controls. Within the LVAD groups, patients on monotherapy with vitamin-K-antagonist (VKA) without antiplatelet therapy were at risk for a higher count of MES (negative binomial regression: VKA: 1; VKA + ASA: Exp(B) = 0.005, 95%CI 0.001-0.044; VKA + clopidogrel: Exp(B) = 0.012, 95%CI 0.002-0.056). There was no association between the presence of MES and CVE or death on follow-up (p > 0.05).

CONCLUSION

For the first time, the prevalence of MES was prospectively investigated in a notable outpatient cohort of patients with HM 3 and HW. Despite optimized properties of the latest LVAD, MES remain detectable depending on antithrombotic therapy. No association between MES and CVE could be detected.

Gastrointestinal bleeding in patients with continuous-flow left ventricular assist devices: A comprehensive review

BACKGROUND

Gastrointestinal bleeding is a major cause of morbidity that plagues the quality of life of patients supported on contemporary continuous-flow left ventricular assist devices (CF-LVADs). Despite benefits in survival and the nearly 50% reduction in complications provided by CF-LVADs, bleeding remains one of the most frequent adverse events with CF-LVAD implants. The CF-LVADs cause an increased risk of bleeding mainly due to the activation of the coagulation cascade.

METHODS

A literature search was done using PubMed and Google Scholar from Inception to February 2022. Qualitative analyses of the articles retrieved were used to construct this review. This review attempts to provide a comprehensive summary of the epidemiology, pathophysiology, risk stratification, and management of gastrointestinal bleeding as a complication of CF-LVAD as well as propose an algorithm for diagnosis and treatment.

RESULTS

Bleeding can occur at different sites in the gastrointestinal tract, the most common underlying pathology being arteriovenous malformations located in the upper gastrointestinal tract The increased prevalence of gastrointestinal (GI) bleeding in CF-LVAD patients has been attributed to the physiology of the LVAD itself, the use of anticoagulants, as well as patient comorbidities. Management involves pharmacologic and nonpharmacologic strategies.

CONCLUSIONS

CF-LVAD-supported patients have a significant risk of GI bleeding that is mainly caused by arteriovenous malformations located in the upper GI tract. The increased prevalence of GI bleeding in CF-LVAD patients is attributed to several etiologies that include factors attributed to the device itself and extrinsic factors such as the use of anticoagulation.

Selection and management considerations to enhance outcomes in patients supported by left ventricular assist devices

PURPOSE OF REVIEW

Left ventricular assist devices (LVADs) are life-saving therapies for patients in end-stage heart failure (HF) with reduced ejection fraction regardless of candidacy for heart transplantation. Multiple clinical trials have demonstrated improved morbidity and mortality with LVADs when compared to medical therapy alone. However, the uptake of LVADs as a therapeutic option in a larger section of end-stage HF patients remains limited, partly due to associated adverse events and re-hospitalization.

RECENT FINDINGS

Accurate assessment and staging of HF patients is crucial to guide appropriate use of LVADs. Innovative methods to risk stratify patients and manage cardiac and noncardiac comorbidities can translate to improved outcomes in LVAD recipients. Inclusion of quality of life metrics and measurements of adverse events can better inform heart failure cardiologists to help identify ideal LVAD candidates. Addition of machine learning algorithms to this process may guide patient selection to improve outcomes.

SUMMARY

Patient selection and assessment of reversible medical comorbidities are critical to the postoperative success of LVAD implantation. Identifying patients most likely to benefit and least likely to experience adverse events should be a priority.

Does Everyone Need High Technology Intervention Before They Die?

A persistent problem in cardiothoracic surgery, as in all of medicine, is when to offer or to withhold expensive technologies. The ethical requirement of balancing harms and benefits is often difficult to achieve. The use of LVADs is an example of such technologies, and when to offer it is explored in this paper.

Risk Prediction Model for Survival of Wait-List Patients on Axial CF-LVAD: A UNOS Database Analysis

BACKGROUND

Continuous flow left ventricular assist devices (CF-LVADs) have become a viable option for patients with end-stage heart failure as a bridge to transplantation or the destination therapy.

METHODS

Adult patients listed for heart transplantation (2010-2015) with an axial CF-LVAD on the wait list were obtained from the UNOS database. The multivariate Cox regression model was used to predict the probability of survival after listing. Patients were divided into derivation (80%) and validation (20%) groups. Receiver operating characteristics curves and area under curves were used to define the strength of the model.

RESULTS

Risk factors on multivariate analyses were diabetes type I (hazard ratio [HR], 2.5; P = .018), presence of inotropes (HR, 1.6; P = .005), creatinine at listing (HR, 1.2; P < .001). No significant differences were observed between the derivation and validation groups for any of the variables. The area under the curve at 3, 6, and 12 months on the wait list was 0.69, 0.65, 0.63, respectively in the training set and 0.71, 0.65, 0.60, respectively in the validation set. Survival analyses showed that patients implanted with Heartmate II before listing had a better survival than those who were implanted after being on the wait list (HR, 0.78; P = .048).

CONCLUSION

To our knowledge, this was the first time a risk prediction model was generated for wait-list survival of Heartmate II patients. A significant difference in survival was noted between patients who received their Heartmate II before being put on a wait list vs those who were implanted while on the list.

Days alive and out of hospital after left ventricular assist device implantation

AIMS

Implantation of left ventricular assist devices (LVADs) as a bridge to transplant or as destination therapy is increasing. The selection of suitable patients and outcome assessment belong to the key challenges. Mortality has traditionally been a focus of research in this field, but literature on quality of life is very limited. This study aimed to identify perioperative factors influencing patients' life as measured by days alive and out of hospital (DAOH) in the first year after LVAD implantation.

METHODS AND RESULTS

This retrospective single-centre cohort study screened 227 patients who underwent LVAD implantation at the University Hospital Duesseldorf, Germany, between 2010 and 2020. First, the influence of 10 prespecified variables on DAOH was investigated by univariate analysis. Second, multivariate quantile regression was conducted including all factors with significant influence on DAOH in the univariate model. Additionally, the impact of all variables on 1 year mortality was investigated using Kaplan-Meier curves to oppose DAOH and mortality. In total, 221 patients were included into analysis. As pre-operative factors, chronic kidney disease (CKD), pre-operative mechanical circulatory support (pMCS), and Interagency Registry for Mechanically Assisted Circulatory Support (INTERMACS) stadium < 3 were associated with lower DAOH at 1 year [CKD: 280 (155-322) vs. 230 (0-219), P = 0.0286; pMCS: 294 (155-325) vs. 243 (0-293), P = 0.0004; INTERMACS 1: 218 (0-293) vs. INTERMACS 2: 264 (6-320) vs. INTERMACS 3: 299 (228-325) vs. INTERMACS 4: 313 (247-332), P ≤ 0.0001]. Intra-operative additional implantation of a right ventricular assist device (RVAD) was also associated with lower DAOH [RVAD: 290 (160-325) vs. 174 (0-277), P ≤ 0.0001]. As post-operative values that were associated with lower DAOH, dialysis and tracheotomy could be identified [dialysis: 300 (252-326) vs. 186 (0-300), P ≤ 0.0001; tracheotomy: 292 (139-325) vs. 168 (0-269), P ≤ 0.0001]. Multivariate analysis revealed that all of these factors besides pMCS were independently associated with DAOH. According to Kaplan-Meier analysis, only post-operative dialysis was significantly associated with increased mortality at 1 year (survival: no dialysis 89.4% vs. dialysis 70.1%, hazard ratio: 0.56, 95% confidence interval: 0.33-0.94; P = 0.031).

CONCLUSIONS

The results of this study indicate that there can be a clear discrepancy between hard endpoints such as mortality and more patient-centred outcomes reflecting life impact. DAOH may relevantly contribute to a more comprehensive selection process and outcome assessment in LVAD patients.

2022 AHA/ACC/HFSA Guideline for the Management of Heart Failure: A Report of the American College of Cardiology/American Heart Association Joint Committee on Clinical Practice Guidelines

AIM

The "2022 AHA/ACC/HFSA Guideline for the Management of Heart Failure" replaces the "2013 ACCF/AHA Guideline for the Management of Heart Failure" and the "2017 ACC/AHA/HFSA Focused Update of the 2013 ACCF/AHA Guideline for the Management of Heart Failure." The 2022 guideline is intended to provide patient-centric recommendations for clinicians to prevent, diagnose, and manage patients with heart failure.

METHODS

A comprehensive literature search was conducted from May 2020 to December 2020, encompassing studies, reviews, and other evidence conducted on human subjects that were published in English from MEDLINE (PubMed), EMBASE, the Cochrane Collaboration, the Agency for Healthcare Research and Quality, and other relevant databases. Additional relevant clinical trials and research studies, published through September 2021, were also considered. This guideline was harmonized with other American Heart Association/American College of Cardiology guidelines published through December 2021. Structure: Heart failure remains a leading cause of morbidity and mortality globally. The 2022 heart failure guideline provides recommendations based on contemporary evidence for the treatment of these patients. The recommendations present an evidence-based approach to managing patients with heart failure, with the intent to improve quality of care and align with patients' interests. Many recommendations from the earlier heart failure guidelines have been updated with new evidence, and new recommendations have been created when supported by published data. Value statements are provided for certain treatments with high-quality published economic analyses.

Hand grip strength in patients with LVADs: A scoping review

BACKGROUND AND PURPOSE

Hand grip strength (HGS) is a simple test to evaluate the upper limb strength function in patients with different diseases. The purpose of this review was to investigate HGS in patients who have been implanted with left ventricular assist devices (LVADs) or waiting for implantation. The objectives were: (1) defining if HGS can predict rehabilitative outcomes such as the walked distance at the 6-minute walking test, and (2) identifying specific HGS cut-off values.

METHODS

We searched eight primary databases for English-language studies published from their inception until April 2021. We excluded editorials, letters to the editor, and studies that did not describe HGS assessment procedures.

RESULTS

A total of 30 articles were identified. We ultimately included 5 publications, and 217 patients constituted the cohort of the present study. In three studies, HGS was evaluated before implantation. Two studies were conducted during the postoperative course, and HGS measurements were taken before and after rehabilitation. In two studies, HGS has correlated with a significant increase of the 6-MWT passing from 300.1 to 404.8 m and 56.6 to 83.8 m, respectively. HGS in patients with LVADs ranges between (1) ca.18 and ca.33 Kg at the preoperative stage, (2) ca.24 and >40 Kg postoperatively, and (3) ca.33 and >36 Kg after having attended a postoperative rehabilitation program.

CONCLUSION

HGS appears to be a simple and reliable measure to correlate rehabilitative outcomes, such as the 6-MWT, in patients receiving or awaiting LVADs.

Sequential organ failure assessment score improves survival prediction for left ventricular assist device recipients in intensive care

BACKGROUND

Preoperative risk scores facilitate patient selection, but postoperative risk scores may offer valuable information for predicting outcomes. We hypothesized that the postoperative Sequential Organ Failure Assessment (SOFA) score would predict mortality after left ventricular assist device (LVAD) implantation.

METHODS

We retrospectively reviewed data from 294 continuous-flow LVAD implantations performed at Mayo Clinic Rochester during 2007 to 2015. We calculated the EuroSCORE, HeartMate-II Risk Score, and RV Failure Risk Score from preoperative data and the APACHE III and Post Cardiac Surgery (POCAS) risk scores from postoperative data. Daily, maximum, and mean SOFA scores were calculated for the first 5 postoperative days. The area under receiver-operator characteristic curves (AUC) was calculated to compare the scoring systems' ability to predict 30-day, 90-day, and 1-year mortality.

RESULTS

For the entire cohort, mortality was 5% at 30 days, 10% at 90 days, and 19% at 1 year. The Day 1 SOFA score had better discrimination for 30-day mortality (AUC 0.77) than the preoperative risk scores or the APACHE III and POCAS postoperative scores. The maximum SOFA score had the best discrimination for 30-day mortality (AUC 0.86), and the mean SOFA score had the best discrimination for 90-day mortality (AUC 0.82) and 1-year mortality (AUC 0.76).

CONCLUSIONS

We observed that postoperative mean and maximum SOFA scores in LVAD recipients predict short-term and intermediate-term mortality better than preoperative risk scores do. However, because preoperative and postoperative risk scores each contribute unique information, they are best used in concert to predict outcomes after LVAD implantation.

2022 AHA/ACC/HFSA Guideline for the Management of Heart Failure

AIM

The "2022 AHA/ACC/HFSA Guideline for the Management of Heart Failure" replaces the "2013 ACCF/AHA Guideline for the Management of Heart Failure" and the "2017 ACC/AHA/HFSA Focused Update of the 2013 ACCF/AHA Guideline for the Management of Heart Failure." The 2022 guideline is intended to provide patient-centric recommendations for clinicians to prevent, diagnose, and manage patients with heart failure.

METHODS

A comprehensive literature search was conducted from May 2020 to December 2020, encompassing studies, reviews, and other evidence conducted on human subjects that were published in English from MEDLINE (PubMed), EMBASE, the Cochrane Collaboration, the Agency for Healthcare Research and Quality, and other relevant databases. Additional relevant clinical trials and research studies, published through September 2021, were also considered. This guideline was harmonized with other American Heart Association/American College of Cardiology guidelines published through December 2021.

STRUCTURE

Heart failure remains a leading cause of morbidity and mortality globally. The 2022 heart failure guideline provides recommendations based on contemporary evidence for the treatment of these patients. The recommendations present an evidence-based approach to managing patients with heart failure, with the intent to improve quality of care and align with patients' interests. Many recommendations from the earlier heart failure guidelines have been updated with new evidence, and new recommendations have been created when supported by published data. Value statements are provided for certain treatments with high-quality published economic analyses.

Novel Risk Model to Predict Emergency Department Associated Mortality for Patients Supported With a Ventricular Assist Device: The Emergency Department-Ventricular Assist Device Risk Score

Background The past decade has seen tremendous growth in patients with ambulatory ventricular assist devices. We sought to identify patients that present to the emergency department (ED) at the highest risk of death. Methods and Results This retrospective analysis of ED encounters from the Nationwide Emergency Department Sample includes 2010 to 2017. Using a random sampling of patient encounters, 80% were assigned to development and 20% to validation cohorts. A risk model was derived from independent predictors of mortality. Each patient encounter was assigned to 1 of 3 groups based on risk score. A total of 44 042 ED ventricular assist device patient encounters were included. The majority of patients were male (73.6%), <65 years old (60.1%), and 29% presented with bleeding, stroke, or device complication. Independent predictors of mortality during the ED visit or subsequent admission included age ≥65 years (odds ratio [OR], 1.8; 95% CI, 1.3-4.6), primary diagnoses (stroke [OR, 19.4; 95% CI, 13.1-28.8], device complication [OR, 10.1; 95% CI, 6.5-16.7], cardiac [OR, 4.0; 95% CI, 2.7-6.1], infection [OR, 5.8; 95% CI, 3.5-8.9]), and blood transfusion (OR, 2.6; 95% CI, 1.8-4.0), whereas history of hypertension was protective (OR, 0.69; 95% CI, 0.5-0.9). The risk score predicted mortality areas under the curve of 0.78 and 0.71 for development and validation. Encounters in the highest risk score strata had a 16-fold higher mortality compared with the lowest risk group (15.8% versus 1.0%). Conclusions We present a novel risk score and its validation for predicting mortality of patients with ED ventricular assist devices, a high-risk, and growing, population.

Left Ventricular Hemodynamics and Relationship with Myocardial Recovery and Optimization in Patients Supported on CF-LVAD Therapy

BACKGROUND

Despite interest in left ventricular (LV) recovery, there is an absence of data on the relationship between intrinsic LV hemodynamics and both reverse remodeling on continuous flow left ventricular assist device (CF-LVAD) therapy. We hypothesized that markers of intrinsic LV function would be associated with remodeling, optimization, and outcomes.

METHODS

Patients with continuous flow LVADs between 2015 and 2019 who underwent combined left and right heart catheterization (LHC/RHC) ramp protocol at a single institution were enrolled. Patients were stratified by response to CF-LVAD therapy: full responders (FR), partial responders (PR), or non-responders (NR) per Utah-Inova criteria. Hemodynamic data, including LV hemodynamics of peak LV dP/dt and tau (τ) were obtained at each phase. One-year heart failure hospitalization-free survival was the primary endpoint.

RESULTS

Among 61 patients included in the current study 38 (62%) were classified as NR, 14 (23%) PR, and 9 (15%) FR. Baseline LV dP/dt and τ varied by response status (P≤.02) and generally correlated with reverse remodeling on linear regression. Biventricular filling pressures varied with τ and there was an interaction effect of speed on the relationship between τ and PCWP (P=.04). Lastly, τ was a prognostic marker and associated with one-year HF-hospital free survival (OR 1.04, 95%CI 1.00-1.07, P=.02 per ms increase).

CONCLUSIONS

Significant correlations between τ and LV dP/dt and reverse remodeling were noted with tau serving as a prognostic marker. Higher LVAD speed was associated with a greater reliance on LVAD for unloading. Future work should focus on defining the optimal level of LVAD support in relation to LV recovery.

Comparison of household income in in-hospital outcomes after implantation of left ventricular assist device

INTRODUCTION

Due to the inability to keep up with the demand for heart transplantation, there is an increased utilization of left ventricular assist devices (LVAD). However, paucity of data exists regarding the association of household income with in-hospital outcomes after LVAD implantation.

METHODS

Retrospective cohort study using the NIS to identify all patients ⩾18 years who underwent LVAD implantation from 2011 to 2017. Statistical analysis was performed comparing low household income (⩽50th percentile) and high income (>50th percentile).

RESULTS

A total of 25,503 patients underwent LVAD implantation. The low-income group represented 53% and the high-income group corresponded to 47% of the entire cohort. The low-income group was found to be younger (mean age 55 ± 14 vs 58 ± 14 years), higher proportion of females (24% vs 22%), and higher proportion of blacks (32% vs 16%, p < 0.001 for all). The low-income group was found to have higher prevalence of hypertension, chronic pulmonary disease, smoking, dyslipidemia, obesity, and pulmonary hypertension (p < 0.001 for all). However, the high-income cohort had higher rate of atrial tachyarrhythmias and end-stage renal disease (p < 0.001). During hospitalization, patients in the high-income group had increased rates of ischemic stroke, acute kidney injury, acute coronary syndrome, bleeding, and need of extracorporeal membrane oxygenation (p < 0.001 for all). We found that the unadjusted mortality had an OR 1.30 (CI 1.21-1.41, p < 0.001) and adjusted mortality of OR 1.14 (CI 1.05-1.23, p = 0.002).

CONCLUSION

In patients undergoing LVAD implantation nationwide, low-income was associated with increased comorbidity burden, younger age, and fewer in-hospital complications and all-cause mortality.

Impact of Ischaemic and Dilated Cardiomyopathy on Short-Term and Long-Term Survival After Ventricular Assist Device Implantation: A Single-Centre Experience

BACKGROUND

Prognosis of patients with end-stage heart failure is known to be impacted by the aetiology of heart failure (HF). Ischaemic cardiomyopathy (ICM) and dilated cardiomyopathy (DCM) are the most frequent pathologies necessitating ventricular assist device (VAD) support in these patients. However, the specific impact of ICM and DCM in clinical outcomes after VAD implantation remains unclear. Therefore, this study aimed to analyse clinical differences in ICM and DCM patients after LVAD surgery from the current institution.

METHODS

All consecutive patients from the LVAD centre were included in this retrospective study. To analyse specific differences in in-hospital outcomes, patients were divided into two groups: ICM and DCM. Long-term follow-up was calculated by Kaplan-Meier estimation of survival.

RESULTS

Between January 2010 and July 2020, 60 consecutive patients underwent LVAD implantation at the institution: 36 patients (60%) were supported due to end-stage ICM and 24 patients (40%) in regard of therapy-refractory DCM. Baseline characteristics showed no between-group differences. The ICM patients showed a clear trend to higher amount of additional cardiac procedures during VAD surgery (36% ICM vs. 12% DCM; p=0.052). In-hospital mortality was comparable between ICM and DCM patients (36% ICM vs. 21% DCM; p=0.206). A trend towards higher frequency of pump thrombosis was seen in DCM patients (p=0.080). Long-term survival was comparable between the groups.

CONCLUSION

The aetiology of heart failure did not impact short-term or long-term clinical outcomes after VAD surgery. Multicentre registry data are necessary to substantiate these findings.

Right Heart Catheterization in Patients with Advanced Heart Failure: When to Perform? How to Interpret?

Right heart catheterization is an established cornerstone of advanced heart failure management, as a clear understanding of the patient's hemodynamic status offers insight into diagnosis, prognosis, and management. In this review, the authors will describe the role of right heart catheterization in the diagnosis and management of shock, in the context of left ventricular assist devices, in the assessment of heart transplant candidacy, and also explore future directions of implantable monitoring devices for pulmonary artery and left atrial pressure monitoring.

Cardiac mechanostructure: Using mechanics and anisotropy as inspiration for developing epicardial therapies in treating myocardial infarction

The mechanical environment and anisotropic structure of the heart modulate cardiac function at the cellular, tissue and organ levels. During myocardial infarction (MI) and subsequent healing, however, this landscape changes significantly. In order to engineer cardiac biomaterials with the appropriate properties to enhance function after MI, the changes in the myocardium induced by MI must be clearly identified. In this review, we focus on the mechanical and structural properties of the healthy and infarcted myocardium in order to gain insight about the environment in which biomaterial-based cardiac therapies are expected to perform and the functional deficiencies caused by MI that the therapy must address. From this understanding, we discuss epicardial therapies for MI inspired by the mechanics and anisotropy of the heart focusing on passive devices, which feature a biomaterials approach, and active devices, which feature robotic and cellular components. Through this review, a detailed analysis is provided in order to inspire further development and translation of epicardial therapies for MI.

Five-year outcomes following left ventricular assist device implantation in England

Objective

Implant rates of mechanical circulatory supports such as left ventricular assist devices (LVAD) have steadily increased in the last decade. We assessed the utility of administrative data to provide information on hospital use and outcomes.

Methods

Using 2 years of national hospital administrative data for England linked to the death register, we identified all patients with an LVAD and extracted hospital activity for 5 years before and after the LVAD implantation date.

Results

In the two index years April 2011 to March 2013, 157 patients had an LVAD implanted. The mean age was 50.9 (SD 15.4), and 78.3% were men. After 5 years, 92 (58.6%) had died; the recorded cause of death was noncardiovascular in 67.4%. 42 (26.8%) patients received a heart±lung transplantation. Compared with the 12 months before implantation, the 12 months after but not including the month of implantation saw falls in total inpatient and day case admissions, a fall in admissions for heart failure (HF), a rise in non-HF admissions, a fall in emergency department visits not ending in admission and a rise in outpatient appointments (all per patient at risk). Postimplantation complications were common in the subsequent 5 years: 26.1% had a stroke, 23.6% had a device infection and 13.4% had a new LVAD implanted.

Conclusions

Despite patients’ young age, their mortality is high and their hospital use and complications are common in the 5 years following LVAD implantation. Administrative data provide important information on resource use in this patient group.

Machine Learning-Driven Models to Predict Prognostic Outcomes in Patients Hospitalized With Heart Failure Using Electronic Health Records: Retrospective Study

Background

With the prevalence of cardiovascular diseases increasing worldwide, early prediction and accurate assessment of heart failure (HF) risk are crucial to meet the clinical demand.

Objective

Our study objective was to develop machine learning (ML) models based on real-world electronic health records to predict 1-year in-hospital mortality, use of positive inotropic agents, and 1-year all-cause readmission rate.

Methods

For this single-center study, we recruited patients with newly diagnosed HF hospitalized between December 2010 and August 2018 at the First Affiliated Hospital of Dalian Medical University (Liaoning Province, China). The models were constructed for a population set (90:10 split of data set into training and test sets) using 79 variables during the first hospitalization. Logistic regression, support vector machine, artificial neural network, random forest, and extreme gradient boosting models were investigated for outcome predictions.

Results

Of the 13,602 patients with HF enrolled in the study, 537 (3.95%) died within 1 year and 2779 patients (20.43%) had a history of use of positive inotropic agents. ML algorithms improved the performance of predictive models for 1-year in-hospital mortality (areas under the curve [AUCs] 0.92-1.00), use of positive inotropic medication (AUCs 0.85-0.96), and 1-year readmission rates (AUCs 0.63-0.96). A decision tree of mortality risk was created and stratified by single variables at levels of high-sensitivity cardiac troponin I (<0.068 μg/L), followed by percentage of lymphocytes (<14.688%) and neutrophil count (4.870×10⁹/L).

Conclusions

ML techniques based on a large scale of clinical variables can improve outcome predictions for patients with HF. The mortality decision tree may contribute to guiding better clinical risk assessment and decision making.

A new hemodynamic index to predict late right failure in patients implanted with last generation centrifugal pump

BACKGROUND

Right ventricular failure (RVF) is a severe event that increases perioperative mortality after left ventricle assist device (LVAD) implantation. Right ventricular (RV) function is particularly affected by the LVAD speed by altering RV preload and afterload as well as the position of the interventricular septum. However, there are no studies focusing on the relationship between pump speed optimization and risk factors for the development of late RVF.

METHODS

Between 2015 and 2019, 50 patients received LVAD implantation at San Camillo Hospital in Rome. Of these, 38 who underwent pump speed optimization were included. Post-optimization hemodynamic data were collected. We assessed a new Hemodynamic Index (HI), calculated as follows:  HI = MAP × PCWP CVP × RPM set RPM max , to determine the risk of late RVF, which was defined as the requirement for rehospitalization and inotropic support.

RESULTS

Ten patients had late RVF after LVAD implantation. Five patients required diuretic therapy and speed optimization. Three patients required inotropic support with adrenaline 0.05 μg/kg/min. Two patients needed prolonged continuous venovenous hemofiltration and high dose inotropic support. Multivariate analysis revealed that a low HI (odds ratio 11.5, 95% confidence interval, 1.85-65.5, p [.003]) was an independent risk factor for late RVF after LVAD implantation.

CONCLUSION

We demonstrated a low HI being a significant risk factor for the development of RVF after LVAD implantation. We suggest implementing HI as a decision support tool for goal-direct optimization of the device aiming to reduce the burden of late-onset RVF during the follow-up.

Creation and Validation of a Novel Sex-Specific Mortality Risk Score in LVAD Recipients

Background

Prior studies have shown that women have worse 3‐month survival after receiving a left ventricular assist device compared with men. Currently used prognostic scores, including the Heartmate II Risk Score, do not account for the increased residual risk in women. We used the IMACS (International Society for Heart and Lung Transplantation Mechanically Assisted Circulatory Support) registry to create and validate a sex‐specific risk score for early mortality in left ventricular assist device recipients.

Methods and Results

Adult patients with a continuous‐flow LVAD from the IMACS registry were randomly divided into a derivation cohort (DC; n=9113; 21% female) and a validation cohort (VC; n=6074; 21% female). The IMACS Risk Score was developed in the DC to predict 3‐month mortality, from preoperative candidate predictors selected using the Akaike information criterion, or significant sex × variable interaction. In the DC, age, cardiogenic shock at implantation, body mass index, blood urea nitrogen, bilirubin, hemoglobin, albumin, platelet count, left ventricular end‐diastolic diameter, tricuspid regurgitation, dialysis, and major infection before implantation were retained as significant predictors of 3‐month mortality. There was significant ischemic heart failure × sex and platelet count × sex interaction. For each quartile increase in IMACS risk score, men (odds ratio [OR], 1.86; 95% CI, 1.74–2.00; P<0.0001), and women (OR, 1.93; 95% CI, 1.47–2.59; P<0.0001) had higher odds of 3‐month mortality. The IMACS risk score represented a significant improvement over Heartmate II Risk Score (IMACS risk score area under the receiver operating characteristic curve: men: DC, 0.71; 95% CI, 0.69–0.73; VC, 0.69; 95% CI, 0.66–0.72; women: DC, 0.73; 95% CI, 0.70–0.77; VC, 0.71 [95% CI, 0.66–0.76; P<0.01 for improvement in receiver operating characteristic) and provided excellent risk calibration in both sexes. Removal of sex‐specific interaction terms resulted in significant loss of model fit.

Conclusions

A sex‐specific risk score provides excellent risk prediction in LVAD recipients.

Overview of Options for Mechanical Circulatory Support

Mechanical circulatory support is used widely in acute setting of myocardial infarction, myocarditis, and cardiogenic shock as well as in chronic scenarios with advanced end-stage heart failure. Different algorithmic approaches can help the clinician decide the type of support required in a high morbidity and mortality setting. It is paramount to emphasize the need for a multidisciplinary approach to make steadfast decisions in the acute settings of cardiogenic shock.

Cardiac T-Tubule cBIN1-Microdomain, a Diagnostic Marker and Therapeutic Target of Heart Failure

Since its first identification as a cardiac transverse tubule (t-tubule) protein, followed by the cloning of the cardiac isoform responsible for t-tubule membrane microdomain formation, cardiac bridging integrator 1 (cBIN1) and its organized microdomains have emerged as a key mechanism in maintaining normal beat-to-beat heart contraction and relaxation. The abnormal remodeling of cBIN1-microdomains occurs in stressed and diseased cardiomyocytes, contributing to the pathophysiology of heart failure. Due to the homeostatic turnover of t-tubule cBIN1-microdomains via microvesicle release into the peripheral circulation, plasma cBIN1 can be assayed as a liquid biopsy of cardiomyocyte health. A new blood test cBIN1 score (CS) has been developed as a dimensionless inverse index derived from plasma cBIN1 concentration with a diagnostic and prognostic power for clinical outcomes in stable ambulatory patients with heart failure with reduced or preserved ejection fraction (HFrEF or HFpEF). Recent evidence further indicates that exogenous cBIN1 introduced by adeno-associated virus 9-based gene therapy can rescue cardiac contraction and relaxation in failing hearts. The therapeutic potential of cBIN1 gene therapy is enormous given its ability to rescue cardiac inotropy and provide lusitropic protection in the meantime. These unprecedented capabilities of cBIN1 gene therapy are shifting the current paradigm of therapy development for heart failure, particularly HFpEF.

Role of Cardiac Rehabilitation After Ventricular Assist Device Implantation

Patients with heart failure suffered by a complex syndrome, where the filling of the ventricle or ejection of the blood is impaired. In this setting, the exercise capacity decreases for many reasons, one of them being the insufficient oxygen transfer due to reduced cardiac output and anemia. Ventricular assist device has emerged as a durable and safe therapy for patients with end-stage heart failure. The benefits of cardiac rehabilitation in ventricular assist device patients are enormous: the first aim is to progressively reduce the physical and functional impairments of these patients, so that they will be able to resume meaningful daily activities.

The Joint Association of Septicemia and Cerebrovascular Diseases with In-Hospital MortalityAmong Patients with Left Ventricular Assist Device in the United States

OBJECTIVES

Left ventricular assist device (LVAD) is associated with complications such as cerebrovascular diseases (CEVD) as well as septicemia which is often preventable. With their use increasing in the U.S., identifying patients with LVAD who are at high risk for short-term mortality is essential for targeted effective patient management strategies to prevent adverse outcomes. We investigated the individual and joint association of CEVD and septicemia with the risk of in-hospital mortality in patients with LVAD in the U.S.

MATERIALS AND METHODS

We used data from the National Inpatient Sample from 2004 to 2015 to identify patients ≥18 years of age who underwent LVAD implantation by means of International Classification of Disease, 9th Revision, codes. Multivariable hierarchical negative binomial regression models were used to estimate risk ratios (RR) and 95% confidence intervals (CI) for in-hospital mortality by CEVD-septicemia status.

RESULTS

The mean age of the 4638 patients was 56 years, and 23% of them were women. Approximately 13% of patients had septicemia; 7% had CEVD and 2% had both conditions. In models adjusted for demographic, lifestyle/behavior factors and comorbid conditions, the risk of in-hospital mortality was almost threefold higher among patients with septicemia alone (RR=2.84, CI:2.24-3.60); two-and-half fold higher among patients with CEVD alone (RR=2.53, CI:1.85-3.48); and almost fourfold among patients with both septicemia and CEVD (RR=3.76, CI: 2.38-5.94, P_interaction = <0.001) CONCLUSION: The presence of both septicemia and CEVD was associated with a substantially higher risk of in-hospital mortality among LVAD patients when compared to septicemia or CEVD alone.

Ventricular Assist Devices and Chronic Kidney Replacement Therapy: Technology and Outcomes

Heart failure and kidney failure are very common conditions, precipitating and exacerbating each other. Left ventricular assist devices (LVADs) represent a relatively new technology for treatment of advanced heart failure. Kidney dysfunction, if present, makes candidate selection for LVADs challenging and contributes to multiple complications while the patients are on an LVAD support. Although kidney function generally improves after LVAD implantation, some patients develop acute and then chronic kidney disease sometimes requiring kidney replacement therapies (KRTs). Overall, chronic KRT in LVAD recipients is feasible and well tolerated, but routine technique of blood pressure monitoring should be adjusted to the continuous blood flow. Both hemodialysis and peritoneal dialysis can be used. Unique challenges for chronic KRT posed by the presence of LVAD are discussed in this review.