Predictors of 30-day post-transplant mortality in patients bridged to transplantation with continuous-flow left ventricular assist devices--An analysis of the International Society for Heart and Lung Transplantation Transplant Registry

Early Outcomes in Patients With LVAD Undergoing Heart Transplant via Use of the SherpaPak Cardiac Transport System

BACKGROUND

Heart transplant (HT) in recipients with left ventricular assist devices (LVADs) is associated with poor early post-HT outcomes, including primary graft dysfunction (PGD). As complicated heart explants in recipients with LVADs may produce longer ischemic times, innovations in donor heart preservation may yield improved post-HT outcomes. The SherpaPak Cardiac Transport System is an organ preservation technology that maintains donor heart temperatures between 4 °C and 8 °C, which may minimize ischemic and cold-induced graft injuries. This analysis sought to identify whether the use of SherpaPak versus traditional cold storage was associated with differential outcomes among patients with durable LVAD undergoing HT.

METHODS

Global Utilization and Registry Database for Improved Heart Preservation-Heart (NCT04141605) is a multicenter registry assessing post-HT outcomes comparing 2 methods of donor heart preservation: SherpaPak versus traditional cold storage. A retrospective review of all patients with durable LVAD who underwent HT was performed. Outcomes assessed included rates of PGD, post-HT mechanical circulatory support use, and 30-day and 1-year survival.

RESULTS

SherpaPak (n=149) and traditional cold storage (n=178) patients had similar baseline characteristics. SherpaPak use was associated with reduced PGD (adjusted odds ratio, 0.56 [95% CI, 0.32-0.99]; P=0.045) and severe PGD (adjusted odds ratio, 0.31 [95% CI, 0.13-0.75]; P=0.009), despite an increased total ischemic time in the SherpaPak group. Propensity matched analysis also noted a trend toward reduced intensive care unit (SherpaPak 7.5±6.4 days versus traditional cold storage 11.3±18.8 days; P=0.09) and hospital (SherpaPak 20.5±11.9 days versus traditional cold storage 28.7±37.0 days; P=0.06) lengths of stay. The 30-day and 1-year survival was similar between groups.

CONCLUSIONS

SherpaPak use was associated with improved early post-HT outcomes among patients with LVAD undergoing HT. This innovation in preservation technology may be an option for HT candidates at increased risk for PGD.

REGISTRATION

URL: https://www.clinicaltrials.gov; Unique identifier: NCT04141605.

Changes in heart transplant outcomes of elderly patients in the new allocation era

OBJECTIVE

Studies demonstrate that heart transplantation can be performed safely in septuagenarians. We evaluate the outcomes of septuagenarians undergoing heart transplantation after the US heart allocation change in 2018.

METHODS

The United Network for Organ Sharing registry was used to identify heart transplant recipients aged 70 years or more between 2010 and 2021. Primary outcomes were 90-day and 1-year mortality. Kaplan-Meier, multivariable Cox proportional hazards, and accelerated failure time models were used for unadjusted and risk-adjusted analyses.

RESULTS

A total of 27,403 patients underwent heart transplantation, with 1059 (3.9%) aged 70 years or more. Patients aged 70 years or more increased from 3.7% before 2018 to 4.5% after 2018 (P = .003). Patients aged 70 years or more before 2018 had comparable 90-day and 1-year survivals relative to patients aged less than 70 years (90 days: 93.8% vs 94.2%, log-rank P = .650; 1 year: 89.4% vs 91.1%, log-rank P = .130). After 2018, septuagenarians had lower 90-day and 1-year survivals (90 days: 91.4% vs 95.0%, log-rank P = .021; 1 year: 86.5% vs 90.9%, log-rank P = .018). Risk-adjusted analysis showed comparable 90-day mortality (hazard ratio, 1.29; 0.94-1.76, P = .110) but worse 1-year mortality (hazard ratio, 1.32; 1.03-1.68, P = .028) before policy change. After policy change, both 90-day and 1-year mortalities were higher (90 days: HR, 1.99; 1.23-3.22, P = .005; 1 year: hazard ratio, 1.71; 1.14-2.56, P = .010). An accelerated failure time model showed comparable 90-day (0.42; 0.16-1.44; P = .088) and 1-year (0.48; 0.18-1.26; P = .133) survival postallocation change.

CONCLUSIONS

Septuagenarians comprise a greater proportion of heart transplant recipients after the allocation change, and their post-transplant outcomes relative to younger recipients have worsened.

Risk Factors for 1-Year Mortality After Heart Transplant in Obese Patients Bridged With an LVAD

BACKGROUND

Heart transplantation is relatively contraindicated in morbidly obese patients because of increased morbidity and mortality. This study identified risk factors for post-heart transplantation mortality in obese patients with a left ventricular assist device (LVAD).

METHODS

The United Network for Organ Sharing database was used to identify patients with a body mass index ≥35 kg/m2 who had a durable LVAD at the time of isolated heart transplantation between 2010 and 2021. The primary outcome was post-heart transplantation 1-year mortality. Multivariable Cox regression modeling was used to identify significant risk factors for 1-year mortality. Receiver-operating characteristic analyses were performed to identify optimal thresholds for continuous variables associated with the primary outcome. Patients were stratified by the number of risk factors, and Kaplan-Meier analysis was used to compare survival.

RESULTS

A total of 1222 obese patients were bridged to heart transplantation with a durable LVAD. Six risk factors were identified as significantly associated with 1-year post-heart transplantation mortality: recipient age >62.5 years, body mass index >36.6 kg/m2, bilirubin level >0.95 mg/dL, cold ischemic time >3.7 hours, recipient-donor sex mismatch, and pretransplantation mechanical ventilation. The distribution of cumulative risk factors was as follows: 8.6% with 0, 30.6% with 1, 37.0% with 2, and 23.8% patients with ≥3 risk factors. The 1-year survival rate decreased significantly from 96.0% in those patients with 0 risk factors to 77.6% in those with 3 or more risk factors.

CONCLUSIONS

These data provide a useful guide for risk stratification and patient selection in obese LVAD candidates being considered for heart transplantation.

No Evidence for Oversizing Hearts and Donor Size Impact on 1-Year Survival in Heart Failure Patients With Left Ventricular Assist Device

The predicted heart mass (PHM) ratio has recently emerged as a better metric for donor-to-recipient size-matching than weight ratios. It is unknown whether this applies to transplant candidates on left ventricular assist device (LVAD) support. Our study examines if PHM ratio is optimal for size-matching specifically in the LVAD patient population. Patients with LVAD who received a heart transplant from January 1997 to December 2020 in the Scientific Registry of Transplant Recipients database were studied. We compared 5 size-matching metrics, including donor-recipient ratios of weight, height, body mass index, body surface area, and PHM. Single and multivariable Cox proportional hazards models for 1-year mortality were calculated. Our sample consisted of 11,891 patients. In our multivariate analysis, we found that patients in the undersized group with PHM ratios <0.83 had a hazard ratio for 1-year mortality of 1.34 (95% confidence interval 1.08 to 1.65, p = 0.007) suggestive of increased mortality with the use of undersized donors. There was no statistical difference in mortality between the matched (PHM ratio 0.83 to 1.2) and oversized group (PHM ratio ≥1.2). In heart transplant recipients on LVAD support, the PHM ratio provides better risk stratification than other metrics. Use of undersized donor hearts with PHM ratio <0.83 confers higher 1-year mortality. Using oversized donor hearts for transplantation in recipients on LVAD support has no benefit.

Derivation and validation of the bridge to transplantation with left ventricular assist device score for 1 year mortality after heart transplantation. The BTT-LVAD score

BACKGROUND

To derive and validate a risk score that accurately predicts 1-year mortality after heart transplantation (HT) in patients bridged to transplant (BTT) with a left ventricular assist device (LVAD).

METHODS

The UNOS database was queried to identify patients BTT with an LVAD between 2008 and 2018. Patients with ⩾1-year follow up were randomly divided into derivation (70%) and validation (30%) cohorts. The primary endpoint was 1-year mortality. A simple additive risk score was developed based on the odds of 1-year mortality after HT. Risk groups were created, and survival was estimated and compared.

RESULTS

A total of 7759 patients were randomly assigned to derivation (n = 5431) and validation (n = 2328) cohorts. One-year post-transplant mortality was 9.8% (n = 760). A 33-point scoring was created from six recipient variables and two donor variables. Risk groups were classified as low (0-5), intermediate (6-10), and high (>10). In the validation cohort, the predicted 1-year mortality was significantly higher in the high-risk group than the intermediate and low-risk groups, 14.7% versus 9% versus 6.1% respectively (log-rank test: p < 0.0001).

CONCLUSION

The BTT-LVAD Score can serve as a clinical decision tool to guide therapeutic decisions in advanced heart failure patients.

Heart, kidney and left ventricular assist device: a complex trio

BACKGROUND

Heart failure (HF) is a complex syndrome affecting the whole body, kidneys included. The left ventricular assist device (LVAD) is a valid option for patients with very severe HF. Focusing on renal function, LVAD implantation could theoretically reverse the detrimental effects of HF syndrome on kidneys. However, implanting an LVAD is a high-risk surgical procedure, and LVAD patients have higher risk of bleeding, device thrombosis, strokes, renal impairment, multi-organ failure and infections. Furthermore, an LVAD has its own particular effects on the renal system.

METHODS

In this review, we provide a comprehensive overview of the complex interaction between LVAD and the kidneys from the pathophysiological and clinical perspectives. An analysis of the different effects of pulsatile-flow and continuous-flow LVAD is provided.

RESULTS

Despite their limitations, creatinine-based estimated glomerular filtration rate (eGFR) formulas help to stratify patients by their post-LVAD placement prognosis. Poor basal renal function, the onset of acute kidney injury or the need for renal replacement therapy after LVAD implantation negatively influences a patient's prognosis. LVAD can also prompt an improvement in renal function, however, with some counterintuitive effects on a patient's prognosis.

CONCLUSION

It is still hard to say whether different trends in eGFR depend on different renal conditions before LVAD placement, on a patient's better overall status or on a particular patient management strategy before and/or after the device's implantation. Steps should be taken to solve this question because finding the best candidates for LVAD implantation is of paramount importance to ensure the best outcomes.

The impact of socioeconomic status in patients with left ventricular assist devices (LVADs)

BACKGROUND

Socioeconomic status (SES) can be a powerful predictor of adverse outcomes among heart failure patients but its impact on survival and readmission following left ventricular assist device (LVAD) implantation surgery is poorly understood. We investigated if the LVAD recipients from more deprived neighborhoods experienced higher mortality and readmission rate after device implantation as compared to those from less deprived areas.

METHODS

This is a single center, retrospective analysis evaluating adults who received Heartmate III and Heartware HVAD implants between 2009 and 2018. SES indicators were area of deprivation index (ADI), race and income. Our cohort was grouped by ADI quartiles from least deprived (Q1), Q2, Q3 to the most deprived (Q4). Outcomes included overall mortality and readmission following surgery.

RESULTS

A total of 191 patients were included in the study. Demographics by SES indicators demonstrated that least deprived (Q1) patients were older than the most deprived (65 vs. 57, p < .01), African-American patients originated from more deprived neighborhoods than Caucasians (ADI 87 vs. 62, p < .001), and high-income patients had higher preoperative BUN and creatinine. Outcome differences included a decreased risk of death in most deprived patients (Q4) compared to the least deprived (Q1), however after adjusting for age, LVAD indication, and INTERMACS profile this was no longer significant. No differences in survival or readmission by race or income was observed CONCLUSION: SES does not independently impact survival and readmission after Heartware HVAD and Heartmate III LVAD implantation. More studies are needed to evaluate if other SES factors affect these outcomes.

Assessing predicted heart mass size matching in obese heart transplant recipients

BACKGROUND

Predicted heart mass (PHM) is currently the most reliable metric for donor-recipient size matching in heart transplantation. Undersizing PHM donor-recipient match more than 20% independently predicts reduced survival. However, it is unclear if this is the case in obese recipients, in whom size matching can be challenging. We examined the use of PHM undersized hearts in obese recipients and assessed its impact on survival.

METHODS

The United Network for Organ Sharing database was queried for adult patients undergoing heart transplantation from 1995 to 2020. Obese recipients (BMI ≥ 30) were categorized based on donor-recipient PHM match ≤-20% (undersized) or >-20% (size-matched). Nearest-neighbor propensity score matching was performed to adjust for baseline differences between cohorts. Temporal outcomes were compared by Kaplan-Meier survival analysis.

RESULTS

A total of 13,668 obese recipients met inclusion criteria, with 9.6% receiving undersized and 90.4% receiving size-matched hearts. The proportion of undersized donor hearts in obese recipients significantly decreased over the study period (16.2% [1995] to 7.4% [2019], NP-trend < 0.001). Propensity-score matching resulted in 984 well-matched pairs of undersized and size-matched obese recipients. Recipients of undersized hearts saw similar 30-day mortality (5.5% vs 6.0%, p= 0.11) and re-transplantation rates (1.2% vs 1.2%, p = 1.00) as size-matched recipients. Survival at 1 year (88.4% vs 87.9%, p = 0.14), and 15 years (35.1% vs 31.0%, p = 0.12) was similar across cohorts.

CONCLUSIONS

A decreasing proportion of PHM undersized hearts are being utilized in obese recipients. However, utilizing PHM undersized hearts in obese recipients was not associated with a detriment in survival.

Weight evolution after implantation of left ventricular assist device: Do we need to interfere?

OBJECTIVES

Weight change after left ventricular assist device implantation may influence outcomes and can affect transplant candidacy. We questioned if there is a systematic weight change after left ventricular assist device implantation and examined the evolution in functional capacity.

METHODS

A retrospective analysis of 84 patients who received a left ventricular assist device in Universitaire Ziekenhuizen Leuven between 2008 and 2016 was performed. Patients were divided into four groups based on their baseline body mass index, and we also examined weight evolution for patients presenting with new-onset heart failure versus those suffering from chronic heart failure. Body mass index was assessed at baseline, 6, 12, 18, and 24 months. To indicate the functional capacity, we analyzed the results of routine 6-Minute Walk Test performed at 6, 12, and 18 months.

RESULTS

During the first 6 months after surgery, the underweight patients evolved to normal weight and the body mass index of the obese patients reduced significantly. Afterward, all patients gained weight. The weight loss of the obese was not maintained over time. The weight of patients with normal weight and overweight evolved to overweight and obesity, respectively. No body mass index changes were demonstrated for patients presenting with new-onset heart failure, and the body mass index of patients suffering from chronic HF significantly increased. There was a significant improvement in functional capacity at 6 months, but this level remained unchanged at 12 and 18 months after surgery.

CONCLUSION

Although the initial 6 months evolve beneficial, all patients gain weight in the second year and do not further improve their exercise capacity.

Waitlist and post-transplant outcomes in patients listed with intra-aortic balloon pump for heart transplant: United Network for Organ Sharing registry

BACKGROUND

Intra-aortic balloon pump as bridge-to-transplant (BTT) has been used successfully in patients with refractory cardiogenic shock. However, the waitlist mortality in this population is high and predictors of waitlist mortality in this population are not known. We sought to identify predictors for waitlist mortality in patients listed with intra-aortic balloon pump and risk factors for 1-year mortality after heart transplant in this population.

METHODS

We identified patients listed for heart transplantation with intra-aortic balloon pump in the United Network for Organ Sharing data set from 1994 to 2015. Univariable and multivariable Cox proportional hazards models were used to identify predictors of waitlist mortality and 1-year post-transplant mortality.

RESULTS

From 1945 patients listed with intra-aortic balloon pump, 67.5% (N = 1313) were alive at 1 year and waitlist mortality was 32.5% (N = 632). We found that higher pulmonary vascular resistance, need for inotropes, and need for mechanical ventilation were associated with higher waitlist mortality. Mechanical ventilation and dialysis prior to transplantation were important predictors of 1-year post-transplant mortality.

CONCLUSION

Predictors of mortality such as high pulmonary vascular resistance, dialysis dependence, inotrope, and ventilator dependence in patients listed with intra-aortic balloon pump can help us identify those patients that are at high risk of dying prior to a heart transplantation.

Systematic review of using medical informatics in lung transplantation studies

BACKGROUND

Lung transplantation is one of the advanced treatment options performed even in patients suffering from end-stage lung disease. Due to the positive results of medical informatics in other fields of medicine, lung transplant researchers have also conducted remarkable studies to improve transplant outcomes. The main objective of this article was to review the current studies of health information technology used in lung transplantation.

METHODS

A systematic search was performed in four scientific databases (Web of Science, Scopus, Science Direct, and PubMed) from January 2000 to December 2018. The criteria for inclusion were included in any study describing the use of health information technology or medical informatics in terms of lung transplantation, English papers, and original researchers. The retrieved articles were accordingly screened based on the inclusion and exclusion criteria to select relevant studies. The survey and synthesis of included articles were conducted based on predefined classification.

RESULTS

Out of 263 articles, 27 studies met our inclusion criteria. All included studies involved the application of health information technology in lung transplantation. The types of health information technology methods applied in reviewed articles included mhealth (11.1 %), DSS (7.4 %), decision aid tools (7.4 %), telemedicine (22.2 %), AI methods (11.1 %), data mining (37 %), and patient education (3.7 %). The majority of studies (88.9 %) showed the positive impact of health information technology to enhance lung transplantation outcomes. Finally, the main approaches in different phases of lung transplantation processes were interpreted and summarized in the visual model.

CONCLUSION

This systematic review provides new insights regarding the application of medical informatics in the lung transplantation domain. The missing areas of medical informatics in the lung transplantation domain were recognized through this study.

Heart Transplantation After Ventricular Assist Device Therapy: Benefits, Risks, and Outcomes

Heart transplantation is an established treatment for end-stage heart failure. Due to the increase in demand and persistent scarcity of organ, mechanical circulatory devices have played a major role in therapy for advanced heart failure. Usage of left ventricular assist device (LVAD) has gone up from 6% in 2006 to 43% in 2013 as per the United Network of Organ Sharing database. Majority of patients presenting for a heart transplantation are often bridged with an assist device prior for management of heart failure while on wait-list. On one hand, it is well established that LVADs improve survival on wait-list; on the other hand, the effect of LVAD on morbidity and survival after a heart transplantation is still unclear. In this article, we review the available literature and attempt to infer the outcomes given the risks and benefits of heart transplantation with prior LVAD patients.

Impact of Obesity on Ventricular Assist Device Outcomes

BACKGROUND

Obesity remains a relative contraindication for heart transplantation, and hence, obese patients with advanced heart failure receive ventricular assist devices (VADs) either as a destination or "bridge to weight loss" strategy. However, impact of obesity on clinical outcomes after VAD implantation is largely unknown. We sought to determine the clinical outcomes of obese patients with body mass index (BMI) ≥ 35 kg/m²) following contemporary VAD implantation.

METHODS

The Interagency Registry for Mechanically Assisted Circulatory Support (INTERMACS) registry was queried for patients who underwent VAD implantation. Patients were categorized into BMI groups based on World Health Organization classification.

RESULTS

Of 17,095 patients, 2620 (15%) had a BMI ≥ 35 kg/m². Obese patients were likely to be young, non-white, females with dilated cardiomyopathy and undergo device implantation as destination. Survival was similar amongst BMI groups (P = .058). Obese patients had significantly higher risk for infection (hazard ratio [HR]: 1.215; P = .001), device malfunction or thrombosis (HR: 1.323; P ≤ .001), cardiac arrhythmia (HR: 1.188; P = .001) and hospital readmissions (HR: 1.073; P = .022), but lower risk of bleeding (HR: 0.906; P = .018). Significant weight loss (≥10%) during VAD support was achieved only by a small proportion (18.6%) of patients with BMI ≥ 35 kg/m². Significant weight loss rates observed in obese patients with VAD implantation as destination and bridge to transplant strategy were comparable. Obese patients with significant weight loss were more likely to undergo cardiac transplantation. Weight loss worsened bleeding risk without altering risk for infection, cardiac arrhythmia, and device complications.

CONCLUSIONS

Obesity alone should not be considered a contraindication for VAD therapy in contemporary era. Given durability of heart transplantation, strategies should be developed to promote weight loss, which occurs infrequently in obese patients. Impact of weight loss on clinical outcome of obese patients warrants further investigation.

Variables of importance in the Scientific Registry of Transplant Recipients database predictive of heart transplant waitlist mortality

The prelisting variables essential for creating an accurate heart transplant allocation score based on survival are unknown. To identify these we studied mortality of adults on the active heart transplant waiting list in the Scientific Registry of Transplant Recipients database from January 1, 2004 to August 31, 2015. There were 33 069 candidates awaiting heart transplantation: 7681 UNOS Status 1A, 13 027 Status 1B, and 12 361 Status 2. During a median waitlist follow-up of 4.3 months, 5514 candidates died. Variables of importance for waitlist mortality were identified by machine learning using Random Survival Forests. Strong correlates predicting survival were estimated glomerular filtration rate (eGFR), serum albumin, extracorporeal membrane oxygenation, ventricular assist device, mechanical ventilation, peak oxygen capacity, hemodynamics, inotrope support, and type of heart disease with less predictive variables including antiarrhythmic agents, history of stroke, vascular disease, prior malignancy, and prior tobacco use. Complex interactions were identified such as an additive risk in mortality based on renal function and serum albumin, and sex-differences in mortality when eGFR >40 mL/min/1.73 m. Most predictive variables for waitlist mortality are in the current tiered allocation system except for eGFR and serum albumin which have an additive risk and complex interactions.

VAD infection during bridge-to-transplant, unique aspects of treatment and prevention

PURPOSE OF REVIEW

VAD infections remain a frequent complication of VAD care and can markedly affect patient management before and after transplantation. This review highlights the standard-of-care approaches offered by recent guidelines as well as published data that may improve the care for patients with these challenging and often persistent infections.

RECENT FINDINGS

Prevention and management of VAD infections has become more standardized with updated consensus guidelines published in 2017. Unfortunately, advanced devices have not markedly affected the incidence of VAD infection. Efforts to improve, yet streamline, the prevention of VAD-specific infections are ongoing. However, the data provided in the best of recent publications are rarely effectively comparative. Granular data on management strategies are limited to a few studies. Nevertheless, several publications provide more detailed posttransplant outcomes for patients with pretransplant VAD infections and demonstrate overall excellent posttransplant survival.

SUMMARY

Prevention and management of VAD-specific and VAD-related infections are the ongoing work of all VAD programs. Consensus guidelines are a marker of progress for this field. Despite very good posttransplant outcomes for these patients, more granular data are required to understand how such patients arrive successfully to transplantation and how their posttransplant course is affected.

Association of Whole Blood Tacrolimus Concentrations with Kidney Injury in Heart Transplantation Patients

Background and Objectives

Acute kidney injury (AKI) is frequently observed after heart transplantation and is associated with morbidity and mortality. However, many confounding factors also contribute to the development of AKI in heart transplants. We hypothesized that supratherapeutic whole-blood tacrolimus trough concentrations are associated with AKI.

Methods

In a retrospective observational cohort from April 2005 to December 2012, all adult heart transplantation patients were included. AKI was assessed in the first 2 weeks after transplantation as classified by the Kidney Disease Improving Global Outcomes Network (KDIGO). Whole-blood tacrolimus trough concentrations were determined from day 1 to day 14 and at 1, 3, 6 and 12 months post-transplantation. The therapeutic range was 9 to 15 ng/ml in the first 2 months and tapered to 5–8 ng/ml thereafter. The relationship between supratherapeutic tacrolimus trough concentrations and AKI was evaluated. The impact of various potentially confounding factors on tacrolimus concentrations and AKI was considered.

Results

We included 110 patients. AKI occurred in 57% of patients in the first week. Recovery from AKI was seen in 24%. The occurrence of chronic kidney disease (CKD) was 19% at 1 year. Whole-blood tacrolimus trough concentrations were often supratherapeutic and, despite correction for confounding factors, independently associated with AKI (OR 1.66; 95% CI 1.20–2.31).

Conclusions

Supratherapeutic whole-blood tacrolimus trough concentrations are independently associated with the development of AKI in adult heart transplantation patients. More stringent dosing of tacrolimus early after transplantation may be critical in preserving the kidney function.

Electronic supplementary material

The online version of this article (10.1007/s13318-017-0453-7) contains supplementary material, which is available to authorized users.

Increased serum Wisteria floribunda agglutinin positive Mac-2 binding protein (Mac-2 binding protein glycosylation isomer) in chronic heart failure: a pilot study

BACKGROUND

Serum Wisteria floribunda agglutinin positive Mac-2 binding protein (WFA⁺-M2BP) or Mac-2 Binding Protein Glycosylation Isomer (M2BPGi) is a novel biomarker currently applied for evaluating hepatic fibrosis. The aim of this study was to evaluate the utility of serum WFA⁺-M2BP level as a biomarker in chronic heart failure (HF) patients with abnormal liver function.

METHODS AND RESULTS

Fifty chronic HF patients who underwent measurement of serum WFA⁺-M2BP were evaluated. The median value of serum WFA⁺-M2BP was 0.88 (interquartile range 0.48-1.29) cut-off index, and positive WFA⁺-M2BP (≥ 1.00 cut-off index) was observed in 22 (44%). Elevated WFA + -M2BP was associated with longer HF history, older age, female sex, valvular heart disease, decreased estimated glomerular filtration rate (eGFR), albumin, and cholinesterase. Stepwise multiple regression analysis showed that HF history, eGFR, and albumin were independent determinants of serum WFA⁺-M2BP values. Repeated measurements of serum WFA⁺-M2BP suggested association between the decrease of WFA⁺-M2BP and improvement of New York Heart Association (NYHA) functional class.

CONCLUSIONS

Elevation of serum WFA⁺-M2BP showed a high prevalence in chronic HF patients with abnormal liver function with relation to HF history, decreased hepatic protein synthesis, and renal dysfunction. Our results suggest that serum WFA⁺-M2BP may be a novel biomarker of chronic HF.

The inodilator levosimendan as a treatment for acute heart failure in various settings

Levosimendan is an inodilator developed for treatment of acute heart failure. It was shown to enhance cardiac contractility, and to exert a vasodilatory effect in all vascular beds. In some trials, the use of levosimendan was associated with cardioprotective effects. These distinctive qualities may be relevant to its use in a range of acute heart failure settings and/or complications, including acute coronary syndromes and cardiogenic shock. It is conjectured that part of the benefit of levosimendan may arise from restoration of ventriculo-arterial coupling via optimization of the ratio of arterial to ventricular elastance and the transfer of mechanical energy. Full confirmation of the effectiveness of levosimendan is still awaited in many of these scenarios; however, the range of potential applications highlights both the versatility of levosimendan and the relative lack of proven interventions in many of these situations.

The Impact of Obesity on Patients Bridged to Transplantation With Continuous-Flow Left Ventricular Assist Devices

OBJECTIVES

This study sought to determine if obese patients had worse post-left ventricular assist device (LVAD) implantation outcomes and if the implantation of an LVAD allowed for weight loss.

BACKGROUND

Obesity is a risk factor for cardiovascular disease including heart failure. Obese heart failure patients have better outcomes than those with normal weight; however, obese patients have worse outcomes after heart transplantation.

METHODS

Patients were identified in the United Network for Organ Sharing (UNOS) database that underwent LVAD implantation as bridge to transplantation from May 2004 and April 2014, with follow-up through June 2014. Patients were grouped according to body mass index (BMI) based on the World Health Organization classification.

RESULTS

Among 3,856 patients, the risk of death or delisting was not significantly different between BMI groups (p = 0.347). There was no increased risk of death (p = 0.234) or delisting (p = 0.918). The risk of complication requiring UNOS status upgrade was increased for those with class II obesity or greater (hazard ratio: 1.48; p = 0.004), driven by increased infection and thromboembolism. Obese patients had worse post-transplantation outcomes. Weight loss substantial enough to decrease BMI group was achieved by a small proportion of patients listed with class I obesity or greater (9.6% to 15.5%).

CONCLUSIONS

Patients with obesity had similar freedom from death or delisting while on LVAD support. However, class II obese or greater patients had an increased risk of complications requiring UNOS status upgrade compared with those with normal BMI during LVAD support and decreased post-transplantation survival. Weight loss on device therapy was possible, but uncommon. Careful consideration is needed when a bridge to weight loss strategy is proposed.