Biomarkers in Advanced Heart Failure: Implications for Managing Patients With Mechanical Circulatory Support and Cardiac Transplantation
Abstract
Biomarkers have a well-defined role in the diagnosis and management of chronic heart failure, but their role in patients with left ventricular assist devices and cardiac transplant is uncertain. In this review, we summarize the available literature in this patient population, with a focus on clinical application. Some ubiquitous biomarkers, for example, natriuretic peptides and cardiac troponin, may assist in the diagnosis of left ventricular assist device complications and transplant rejection. Novel biomarkers focused on specific pathological processes, such as left ventricular assist device thrombosis and profiling of leukocyte activation, continue to be developed and show promise in altering the management of the advanced heart failure patient. Few biomarkers at this time have been assessed with sufficient scrutiny to warrant broad, universal application, but encouraging limited data and large potential for impact should prompt ongoing investigation.
In patients with heart failure (HF), biomarkers have utility in diagnosing the etiology of dyspnea, 1 in risk stratification,2 and in monitoring response to medical therapy.3 However, the role of biomarkers in patients with left ventricular assist devices (LVADs) or cardiac transplantation is limited and not well defined, an important knowledge gap in the optimization of care for patients with advanced HF. In this review, we summarize existing data for both traditional (eg, natriuretic peptides, cardiac troponin) and novel biomarkers in patients requiring advanced HF therapies, with a focus on the utility of these biomarkers in clinical care.
Left Ventricular Assist Devices
LVADs are an important treatment option for a subset of patients with end-stage HF, but despite advances in design and management, complications are common and result in significant morbidity and mortality.4 Substantial efforts have been directed toward identifying patients who are at the greatest risk for LVAD-related complications to (1) better select patients and/or (2) alter management to mitigate these complications.5–7 Additionally, predicting which patients may experience myocardial recovery is of critical interest.
Response of HF Biomarkers to LVAD Therapy
While a complete review of the biology of known cardiac biomarkers is out of the scope of this manuscript and is provided elsewhere,8,9 it is important to highlight changes in these biomarkers after mechanical support. Unfortunately, the landmark randomized trials assessing outcomes following modern LVAD therapy did not report the biomarkers discussed below,4,10,11 thus most data are derived from smaller, single-center studies. Inclusion of biomarkers of interest in subsequent trials of novel LVADs, at enrollment and during follow-up, would significantly elevate the level of evidence available.
LVAD implantation results in sudden unloading of the left ventricle. Not surprisingly, biomarkers of myocardial stretch—BNP (B-type natriuretic peptide) and NT-proBNP (N-terminal pro-BNP)—decrease rapidly after LVAD implant.12–14 Significant decreases in concentrations occur by 1 to 4 weeks post-implant with a sustained reduction in concentrations as long as 9 months.12–19 One study of 9 cf (continuous flow) LVAD (6 HeartMate [HM] II and 3 HeartWare [HVAD]) patients noted a decrease in mean BNP from 1200 pg/mL at baseline to 300 pg/mL by month 3 with subsequent plateau; another of 25 cfLVAD (HMII) patients demonstrated a decrease from 1900 pg/mL to ≈350 pg/mL by month 1 with only slight additional reduction thereafter.13,20 A similar trajectory has also been noted after initiation of neurohormonal therapy in chronic HF patients,21 indicating that natriuretic peptide concentrations can change rapidly regardless of the mechanism of unloading. It is important to note, however, that very few patients with LVAD reach normal natriuretic peptide levels when compared with non-HF patients.12,20
GDF (Growth differentiation factor)-15 is a member of the transforming growth factor cytokine family. Its expression can be induced in response to pressure overload and inflammatory cytokines.22 GDF-15 levels are elevated in a majority of end-stage HF patients pre-LVAD, and the degree of elevation correlates with degree of myocardial fibrosis on histology at time of LVAD implant.23 A single-center, retrospective study of 25 primarily HMII LVADs noted a significant decrease in mean serum concentrations of GDF-15 1 month after implant (7.1 ng/mL to ≈2 ng/mL), presumably through a reduction in oxidative stress via restoration of hemodynamics. By 6 months, 75% of patients had achieved laboratory normal levels (<1.2 ng/mL), although these still remained significantly higher than controls.23
Suppressor of tumorigenicity (ST) 2 is a member of the IL (interleukin)-1 receptor family, which, when bound to its ligand IL33, leads to inhibition of apoptosis, hypertrophy, and fibrosis.24 Soluble ST2 (sST2) serves as a decoy receptor for IL33, resulting in activation of a profibrotic cascade.8 A single-center, retrospective study of 38 cfLVAD patients found that mean sST2 concentration was elevated in patients before LVAD implant (74.2 ng/mL with reference range <35 ng/mL), with significant between-group differences when comparing Interagency Registry for Mechanically Assisted Circulatory Support (INTERMACS) I profile (120.2 ng/mL) versus INTERMACS II/III profile (65.7 ng/mL). Interestingly, while CRP (C-reactive protein) levels correlated with degree of sST2 concentration, numerous other clinical features (right ventricular dysfunction, renal dysfunction, natriuretic peptide levels, filling pressures, cardiac output) did not.25 Similar to the other biomarkers, there was a precipitous decrease of sST2 levels by 1 month post-LVAD and a continued significant decline to month 3 when mean levels were below the reference range; levels stabilized thereafter.25
Galectin (Gal)-3 is a product of the inflammatory response of chronic HF and stimulates pathological remodeling.8 One study noted a small but significant decrease in Gal-3 after LVAD implant12; others reported a temporary decrease post-LVAD with subsequent increase13,26; and yet another reported no significant change at 30 days post-LVAD.18 Additional biomarkers of myocardial fibrosis shown to be elevated in chronic HF (osteopontin and connective tissue growth factor) also do not seem to reliably decrease after LVAD implant.13,18 These observations suggest that unloading may not end the chronic inflammatory and fibrotic response induced by HF.
In sum, myocardial unloading by LVAD results in robust and rapid decreases in the concentrations of natriuretic peptides, GDF-15, and sST2 with some inconsistent changes in Gal-3 (Figure 1). Knowledge of this expected response could provide a clinical role for routine measurements of these biomarkers, with deviations suggestive of possible clinical complications, which we review in the following.

Clinical Applications
Very few biomarkers in the LVAD population have sufficient specificity to be diagnostic of specific complications. Most studies are small and/or lack validation from prospective trials or large multicenter registries making it difficult to recommend universal application. Further, the biomarker thresholds established in the following studies are dichotomizations of a continuous variable, which generally results in a loss of statistical power and limits information gained from a given biomarker. Nonetheless, incorporation of biomarkers into a comprehensive clinical assessment could augment the evaluation of LVAD patients by (1) assisting in diagnosis of acute complications and (2) identifying a patient’s position along a spectrum of long-term risk.
Biomarker Associations With Morbidity and Mortality in LVAD Recipients
A prospective cohort study of 136 patients with cfLVADs (HMII) evaluated whether routine assessment of outpatient natriuretic peptides could be utilized to predict general adverse events after LVAD implant.27 In this study, the authors retrospectively assigned patients to following 3 cohorts based on postimplant clinical course: (A) serious adverse events requiring hospitalization, (B) complications requiring outpatient therapy, and (C) uncomplicated course. Patients in group A had higher absolute values of peak BNP (measured at the time of the clinical event) and higher peak BNP/preimplant BNP ratios than the other groups. When comparing patients having any complication (group A or B) to those who had an event-free course (C), mean BNP concentration even at the first outpatient visit was significantly elevated. They then assessed diagnostic performance of BNP for specific clinical conditions. For infection, a BNP peak of >413 pg/mL demonstrated a sensitivity of 76%, but specificity of only 50% with a receiver operator curve area under the curve of 0.68. Performance was better for HF, where BNP >418 pg/mL had 86% sensitivity, 53% specificity, and area under the curve of 0.75, and pump thrombosis, where BNP >782 pg/mL had 100% sensitivity, 77% specificity, and area under the curve of 0.93.27
A BNP-guided care strategy may be beneficial in the immediate postsurgical period.28 In a single-center study of 85 cfLVAD patients, a clinical protocol was instituted involving measuring BNP concentrations almost daily in the postsurgical ICU. Consecutive increases in BNP levels (of at least 100 pg/mL) prompted the care team to further investigation (echocardiography) or interventions (increasing diuretic/inotrope dose, increasing LVAD speed) guided by individual clinical assessment. The investigators then assessed outcomes in the BNP-guided group as compared with historical controls. The BNP-guided strategy group had a significant, 5 day shorter length of stay post-LVAD but no change in 90 mortality or re-admission rates.28 Given the lack of a contemporaneous control group, the beneficial findings of the strategy may be confounded by improvements in standard care for patients with LVAD but provide hypothesis-generating data for postoperative LVAD management.
Preimplant Gal-3 concentration is a prognostic marker for death post-LVAD implant. A retrospective study of older generation LVADs revealed that Gal-3 plasma concentrations at time of LVAD implantation are significantly higher in those who subsequently die of multiorgan failure post-implant (13.4 versus 9.6 ng/mL),18 and, in a more contemporary study of 57 cfLVAD patients, Gal-3 levels >30 ng/mL at time of LVAD implant have been associated with lower 2 year survival (76.5% versus 95%).26
Right Ventricular Failure
Right ventricular (RV) failure remains common after LVAD implant, with incidence ranging from 20% to 30% even in contemporary cohorts.4,29 Patients who suffer right ventricular failure (RVF) require longer inotropic support, longer intensive care unit stays, longer hospitalizations, and importantly, have higher 1 and 2 year mortality.29 Many risk scores have been derived to try to predict this complication of LVAD implant, most recently from European Registry for Patients with Mechanical Circulatory Support (EUROMACS) database, EUROMACS-RHF. This score incorporates several clinical risk factors as being predictive of postoperative RVF, including need for multiple inotropic agents, INTERMACS class 1-3, RV dysfunction on echocardiography, and a ratio of right atrial to pulmonary wedge pressure of >0.54. The authors assessed significance of a number of routine laboratory assessments (eg sodium, potassium, blood urea nitrogen, platelets, serum bicarbonate, etc) but after multivariate analysis only found a hemoglobin of ≤10 g/dL as predictive of RVF.29 While, they did not assess for the significance of natriuretic peptides in their model, others with more complex predictive models of RVF derived through Bayesian analysis have included elevated preoperative natriuretic peptide concentrations as risk factors for both acute and delayed RVF.30
A large single-center study of 189 patients with cfLVAD measured BNP concentration before and 2 weeks after LVAD implant and characterized patients into those who had improvement, or those who did not. Patients who had reductions in BNP post-operatively also had significant decreases in central venous pressure and improvement in creatine and bilirubin, whereas those without BNP reductions did not. This nonresponder group also had higher rates of right ventricular failure (53% versus 39%), longer length of stay, and worse overall survival.31
Data from echocardiographic ramp studies provide a potential link between RVF, inadequate LV unloading, and elevated BNP. One group performed routine hemodynamic ramp studies on 17 stable outpatients a median of 16 months post HeartWare (HVAD) implant. In those patients who underwent clinically guided speed adjustments, follow-up echocardiography revealed improvements in noninvasive parameters of RV function, including RV fractional area change and RV longitudinal peak systolic strain along with significant reductions in NT-proBNP (3162–2294 ng/L).32
Pump Thrombosis
While newer generation centrifugal devices have extremely low rates of pump thrombosis, these events continue to have important sequelae, including need for pump exchange and ischemic stroke.4 At present, LDH (lactate dehydrogenase) remains a ubiquitous and useful biomarker for assessment of acute pump thrombosis, with better performance than serum-free hemoglobin, but other assays continue to be developed.33,34
Pump thrombosis is mediated by interactions between the blood-prosthesis interface. A novel assay, the platelet activity state (PAS) assay, evaluates the effect shear-stress exposure on platelet activity and provides information on clotting independent from routine measures of coagulation, with elevated activity indicative of propensity to clot. One study assessed utility of PAS in risk stratification and diagnosis of thromboembolic complications of LVAD therapy in 68 patients with cfLVADs (HMII, HVAD, HMIII) over a median follow-up of 602 days. PAS is reported as a normalized value, with mean levels of 0.48% in healthy volunteers and a median level of 0.45% in patients with LVADs.35 Notably, patients with HMII had higher mean PAS activity than those with centrifugal LVADs, potentially providing a mechanistic link for the decreased thromboembolic complications seen in HMIII.4
Overall, 6 patients suffered a thrombotic complication; PAS measured at the time of event was significantly (15-fold) higher than baseline values (6.67% versus 0.45%).35 Of note, only one of these patients (patient with HMII with pump thrombosis) had a significantly elevated LDH, suggesting that PAS is a more sensitive marker of thromboembolic disease. Interestingly, these same patients had elevated preoperative PAS activity (1.9% versus 0.42%) implying that patient-specific predisposition may play a role in thrombosis. Thus, PAS assay could be measured (1) preimplant to help decide antiplatelet strategies and/or (2) after a major bleed to assess if aspirin can be safely discontinued.
Myocardial Recovery
Myocardial recovery after LVAD implant is a rare phenomenon36 but remains an important goal in selected patients. The INTERMACS Cardiac Recovery Score (I-CARS) was developed to identify patients with higher likelihood of myocardial recovery and relies primarily on clinical and echocardiographic information. Utilization of biomarkers to augment this score would be of clinical interest.
As mentioned, natriuretic peptide concentrations decrease after LVAD implant, but rarely reach normal. However, in an older study of 17 pfLVADs, patients who had rapid recovery of BNP to normal levels within 1 week of LVAD implant had higher rates of myocardial recovery.37 Similarly, other groups have found that patients who experienced myocardial recovery had significantly lower levels of BNP at 1 month19 and 3 months after LVAD implant.38 In contrast to these findings, however, a separate study found that neither the concentration of BNP or change of BNP from pre-VAD levels at postoperative day 90 were correlated to 180 day outcomes after multivariable adjustment.39 Finally, the trial used to derive the I-CARS score revealed nonsignificant decreases in BNP levels in those successfully explanted.36
Summary of Current Utility of Biomarkers in LVAD Patients
Thus far, few biomarkers in the LVAD population have undergone rigorous investigation or have robust enough evidence to recommend broad application (Table 1). While these observational studies allow for interesting hypotheses, much work needs to be done to solidify a role for routine measurement of biomarkers in management of patients with LVADs. Most critically, the degree of evidence must progress from single-center, observational studies to multicenter, prospective, randomized trials. This can be done by incorporation of biomarkers of critical interest into existing registries, such as INTERMACS, to allow more robust assessment of their utility, both at initial LVAD implant and with subsequent complications. Studies should feature homogenous populations (eg, HMIII patients who are destination-therapy, HVAD patients who are bridged to transplant, etc) to allow appropriate application of results into clinical practice. Ideal trial design should include randomization to a biomarker-guided strategy, as has been done in chronic heart failure,41 to determine whether such a strategy can (1) improve diagnosis of disease, (2) alter downstream testing, and, ultimately, (3) improve outcomes.
Clinical Condition | Biomarker | Threshold | Measured at Time | Test Characteristics | Outcome | Population | Study Type |
---|---|---|---|---|---|---|---|
General morbidity and mortality | BNP | ≥327 pg/mL | Time of event | 90% sn, 78% sp, AUC 0.714 | Predictive of adverse events requiring hospitalization27 | 136 HMII | Single center, prospective |
BNP | ≥322 | 60 d | 71% sn, 79.8% sp | 2 y survival (70.5% vs 92%)40 | 83 pf-LVAD | Single center, retrospective | |
Gal-3 | ≥35.4 ng/mL | Preoperative | 84.2% sn, 66.7% sp | 2-y mortality. 76.5% (Gal-3 >30 ng/mL) vs 95% (Gal-3 <30 ng/mL) alive26 | 57 cf-LVAD (52 HMII, 5 HVAD) | Single center, retrospective | |
BNP | Improvement vs no | 2 wk | Odds ratio 2.03 for long-term post-operative mortality31 | 189 cf-LVAD (160 HMII, 29 HVAD) | Single center, retrospective | ||
RVF | BNP | Improvement vs no | 2 wk | RVF (inotrope or mechanical support) 39% vs 53%31 | 189 cf-LVAD (160 HMII, 29 HVAD) | Single center, retrospective | |
Thrombosis | LDH | ≥2.5×URL | Time of event | 78% sn, 97% sp, AUC 0.94 | Acute pump thrombosis33 | 241 cf-LVADs (196 axial, 45 centrifugal) | Single center, retrospective |
LDH | >3×URL | Time of event | 88% sn, 97% sp, 88% PPV, 97% NPV | Acute thromboembolic complication34 | 40 HMII | Single center, retrospective | |
PAS | ≥1.05% | Preoperative | 100% sn, 86% sp | Subsequent risk of thromboembolic complication35 | 68 cf-LVADs (15 HMII, 15 HMIII, 38 HVAD) | Single center, retrospective | |
PAS | ≥3.26% | Time of event | 100% sn, 97% sp | Acute thromboembolic complication35 | 68 cf-LVADs (15 HMII, 15 HMIII, 38 HVAD) | Single center, retrospective | |
BNP | ≥783 pg/mL | Time of event | 100% sn, 77% sp, AUC 0.927 | Acute pump thrombosis27 | 136 HMII | Single center, prospective | |
Myocardial recovery | BNP | <200 pg/mL | 1 mo | 2 of 20 patients recovered, both had BNP <200 pg/mL19 | 20 cf-LVAD (11 HMII, 9 Jarvik) | Single center, prospective | |
BNP | <200 pg/mL | 3 mo | 8 of 41 patients recovered had mean BNP 66 pg/mL38 | 41 pf-LVAD | Single center, retrospective |
AUC indicates area under the curve; BNP, B-type natriuretic peptide; cf, continuous-flow; Gal-3, galectin-3; HM, HeartMate; HVAD, HeartWare; LDH, lactate dehydrogenase; LVAD, left ventricular assist device; NPV, negative predictive value; PAS, platelet activity state; PPV, positive predictive value; pf, pulsatile-flow; RVF, right ventricular failure; sp, specificity; sn, sensitivity; and URL, upper reference limit.
Use of biomarkers, in particular, seems well suited for assessment of LVAD complications. For assessment of RV dysfunction, for example, patients could be randomized to periodic natriuretic assessments versus routine care. Elevations in natriuretic peptides could prompt further workup (echocardiography) and possible changes to clinical management (initiation of pulmonary vasodilators or inotropes, speed adjustments, etc). Natriuretic peptides seem particularly attractive as they are relatively inexpensive and widely available. For thromboembolism, patients could be randomized to periodic screening of PAS, with elevations prompting assessment of possible complications and higher anticoagulation goals. Similarly, after a bleeding episode, patients could be randomized to PAS-guided anticoagulation targets versus routine care and then assessed for a reduction in subsequent bleeding and thrombosis. Until higher-quality observational (prospective, multi-center) or randomized studies can be completed, the role of biomarkers in the management of patients with LVAD remains uncertain.
Heart Transplant
Heart transplantation remains an important therapy for a subset of patients with end-stage HF but is associated with distinct challenges and complications.42 Acute rejection is an early contributor to poor outcomes, and allograft vasculopathy becomes increasingly prevalent over time.42 Diagnosing each of these conditions requires invasive procedures. Use of noninvasive biomarkers to detect these conditions could (1) reduce the burden and complications of invasive procedures, (2) provide an objective, reproducible measure of disease (avoid biopsy sampling bias), (3) potentially improve outcomes and cost, and (4) provide insights into individualized immune response and allow tailoring of immunosuppression (Figure 2).

Rejection
Acute rejection results in cell death of donor myocardium, releasing donor DNA into recipient circulation. Donor and recipient DNA can be differentiated by unique single nucleotide polymorphisms. Therefore, quantification of donor DNA in recipient circulation can serve as a surrogate of myocardial injury.
A prospective study assessing the ratio of circulating cell free donor DNA (cfdDNA) in 65 patients post-transplant found that ratio of cfdDNA was significantly higher during episodes of rejection and could discriminate between mild and moderate-severe acute cellular rejection (ACR). In this study, a cfdDNA ratio of ≥0.25% yielded an area under the curve of 0.83 with sensitivity of 58% and specificity of 93% for moderate-severe rejection (>2R/3A by ISHLT criteria) or significant antibody-mediated rejection. Unfortunately, the test cannot distinguish antibody-mediated rejection and ACR, mandating follow-up biopsies if positive. cfdDNA was significantly elevated for samples collected up to 5 months before the rejection episode, providing possible lead time to adjust immunosuppression.43 This technology shows promise but is still resource-intensive. Novel technologies using limited single nucleotide polymorphisms with next-generation sequencing are under development and have already been validated in kidney transplantation (AlloSure test).44
Gene expression profiling (GEP), on the other hand, has proven efficacy in heart transplant recipients and is commercially available as the AlloMap test. The test relies on the observation that during acute rejection, one can expect a gene expression signature of immune activation and leukocyte trafficking in recipient immune cells.45 In the CARGO (Cardiac Allograft Rejection Gene Expression Observational) study, a set of 11 discriminatory genes were identified and assigned a score reflective of degree of activation. A score of <30 effectively ruled-out high grade ACR (≥3A/2R) with negative predictive value of 99.6%.45 A rejection screening strategy utilizing GEP was compared with routine endomyocardial biopsies in the IMAGE (invasive monitoring attenuation through gene expression) trial.46 In this trial, transplant recipients >6 months from surgery without complications were randomized to undergo rejection screening via GEP or biopsy. Patients who had a GEP score above threshold underwent subsequent biopsy to confirm presence and type of rejection. This threshold was changed during the trial from 30 to 34, as further analysis revealed a higher threshold would maintain negative predictive value while decreasing triggered biopsies. At 2 years, the groups showed no difference in a composite of adverse outcomes (death, re-transplantation, rejection with hemodynamic compromise, or nonspecific graft dysfunction) but did have less biopsies.46 Of the 34 episodes of rejection identified by GEP, all but 6 patients had symptoms or imaging evidence of graft dysfunction. In cases with clinical signs of rejection, endomyocardial biopsy remains the test of choice for rapid identification (GEP results can take several days) and initiation of treatment. However, for the asymptomatic patient who has been stable post-transplant, GEP may have a role in reducing the need for endomyocardial biopsy. A GEP-based screening strategy has been validated in a real-world registry with 35 centers and >1500 patients and shows excellent short-term survival with similar negative predictive values (98%) for high grade ACR.47
Death of donor myocardial cells results in release of cellular contents and myocardial stress, making the ubiquitous biomarkers of cTn (cardiac troponin) and NT-proBNP of interest. One study analyzed stored serum samples in 98 transplant patients and retrospectively matched them to endomyocardial biopsies. High-sensitivity (hs) cTnI concentrations were significantly higher in patients with rejection; a threshold of 15 ng/L yielded a sensitivity of 94% and specificity of 60% for diagnosing ≥2R/3A ACR, antibody-mediated rejection, or graft dysfunction requiring treatment.48 Quantitatively, levels of cTn are also observed to rise in parallel with worsening rejection severity.49 Although it cannot be used post-operatively because of perioperative injury and ischemia, cTn may have similar negative predictive value to GEP for long-term surveillance of stable transplant recipients.
Intraindividual increases in NT-pro-BNP have also been found to be predictive of high grade (≥2R/3A) ACR. In a retrospective single-center study, 10-fold increase in NT-pro-BNP conferred an odds ratio of 27.7 for high-grade rejection.50 A combined biomarker approach could potentially improve test characteristics of these individual nonspecific biomarkers. The obvious benefits of troponin and natriuretic peptide testing over cfdDNA or GEP are their widespread availability, rapid turnaround, and lower cost.
Cardiac Allograft Vasculopathy
Cardiac allograft vasculopathy (CAV) is a common cause of late morbidity and mortality42 in heart transplant recipients, but screening can be invasive and resource intensive.51 Noninvasive biomarkers would be beneficial if they could help guide frequency of CAV assessment or subsequent therapy.
Several biomarkers of inflammation have been investigated for their utility as diagnostic markers of CAV. A single-center prospective study of 150 patients assessed hsCRP (high-sensitivity C-reactive protein) at time of angiography and found that elevated levels of hsCRP and a long-term rise in hsCRP over time were risk factors for development of CAV.52 Another single-center prospective study of 101 patients evaluated several markers of the inflammatory milieu in patients with CAV assessed by intravascular ultrasound and virtual histology. On multivariate analysis, CRP>1.5 mg/L, VCAM-1 (vascular cell adhesion molecule) >391 ng/mL, and neopterin (marker of monocyte/macrophage activation) >7.7 nmol/L were independently associated with mean maximal intimal thickness >0.5 mm.53 Finally, elevated levels of CRP, NT-proBNP, and cTnI in the first year post-transplant are risk factors for the development of CAV and subsequent graft failure and mortality.54,55
Summary of Current Utility of Biomarkers in Transplant Patients
The development of GEP and cfdDNA as screening methods for transplant rejection can reduce patient burden associated with repeat procedures and can effectively rule out high degrees of ACR. GEP, in particular, has been tested in prospective trials and validated in large registries and serves as a model for future biomarker strategy trials in the transplant population. Use of GEP passes the bar for clinical recommendation. While no specific marker of CAV has been developed, CRP shows promise in being a useful predictor (Table 2). Utilization of CRP could risk stratify patients to more aggressive angiographic screening, more frequent use of intravascular ultrasound, or perhaps early incorporation of alternative immunosuppression (sirolimus). A trial assessing outcomes based on a biomarker-guided screening approach, however, is needed before universal adoption of such a strategy.
Clinical Condition | Biomarker | Threshold | Test Characteristics | Outcome | Population | Study Type |
---|---|---|---|---|---|---|
Acute rejection | cfdDNA | ≥0.25% | 58% sn, 93% sp, 0.83 AUC | ≥2R/3A rejection or AMR43 | 44 adult and 21 pediatric transplant recipients | Single-center, prospective |
AlloMap | <30 | NPV>99%, PPV 6.8% | ≥2R/3A rejection45 | Validated in 166 patients ≥1 y from transplant | Multi-center, prospective | |
AlloMap | <30 (2–6 mo) | NPV 98.4%, PPV 2.83% | ≥2R/3A rejection47 | 1504 adult patients from 35 centers ≥55 d since transplant | Multi-center, prospective registry | |
<34 (>6 mo) | NPV 98.5%, PPV 2.82% | |||||
hs-cTnI | ≥15 ng/L | 94% sn, 60% sp, AUC 0.82 | ≥2R/3A cellular rejection, AMR, or graft dysfunction leading to treatment48 | 98 adult transplant who survived 3 mo post-transplant | Single-center, retrospective | |
NT-pro-BNP | ≥10× baseline value | Odds ratio 27.7 | ≥2R/3A rejection50 | 146 adult transplant recipients | Single-center, retrospective | |
CAV | hs-CRP | ≥1.66 mg/L | 77% sn, 64% sp, AUC 0.80 | Angiogram evidence of at least mild CAV52 | 150 adults with mean time from transplant 6.5 y | Single-center, prospective |
CRP | >1.5 mg/L | Odds ratio 4.6 | Maximal intimal thickness >0.5 mm53 | 101 adult heart transplant recipients | Single-center, prospective | |
NT-pro-BNP+CRP | >45.6 pmol/L and >1.41 mg/L | 45% sn, 77% sp, 54% PPV | Eventual development of CAV over mean follow-up of 5 y54 | 220 transplant recipients with levels measured at 1 y post-transplant (or at time of study inclusion) | Single-center retrospective |
AMR indicates antibody-mediated rejection; AUC, area under the curve; CAV, cardiac allograft vasculopathy; cfdDNA, circulating cell-free donor DNA; CRP, C-reactive protein; cTnI, cardiac troponin I; hs, high-sensitivity; NPV, negative predictive value; NT-pro-BNP, N-terminal pro-B type natriuretic peptide; PPV, positive predictive value; sn, sensitivity; and sp, specificity.
Conclusions and Future Directions
The role of biomarkers in heart failure and acute coronary syndrome has evolved from associations based on observational studies to a validated role in the diagnosis and prognosis of disease. We review here the data behind application of biomarkers to a novel population, those with advanced HF. Interestingly, some common and readily available biomarkers (troponin, natriuretic peptide, CRP) show potential relevance in this population but must be substantiated with greater evidence. Others have been and continue to be developed through novel approaches (eg. PAS, proteomics, cfdDNA, etc) and must prove they are (1) reliable and readily accessible, (2) provide information outside of a routine clinical assessment, and (3) alter management of a patient in some way.56
Potential avenues where biomarkers may be able to fill critical knowledge gaps include the following: (1) better defining the deleterious role of the inflammasome in cardiac replacement therapy and whether this can be altered to improve outcomes,57 (2) assisting with an objective assessment of frailty, a poor prognosticator in this population,58 (3) helping to predict late outcomes, such as late RVF, during preoperative assessment, or (4) better helping to identify which patients can be liberated from LVAD therapy. However, to move the data that we have presented here from the realm of thought-provoking to practice-changing will require investment in multicenter biobanks and prospective clinical trials utilizing biomarker-based strategies, an area ripe for investigation.
Acknowledgments
We thank Dr Carolyn Glass for providing the pathology image used in Figure 2.
Footnote
Nonstandard Abbreviations and Acronyms
- ACR
- acute cellular rejection
- BNP
- B-type natriuretic peptide
- CARGO
- Cardiac Allograft Rejection Gene Expression Observational Study
- CAV
- cardiac allograft vasculopathy
- cfdDNA
- circulating cell free donor DNA
- CRP
- C-reactive protein
- GDF-15
- growth differentiation factor-15
- GEP
- gene expression profiling
- HF
- heart failure
- HM
- HeartMate
- hsCRP
- high-sensitivity C-reactive protein
- IL
- interleukin
- INTERMACS
- Interagency Registry for Mechanically Assisted Circulatory Support
- LDH
- lactate dehydrogenase
- LVAD
- left ventricular assist device
- NT-proBNP
- N-terminal pro-BNP
- PAS
- platelet activity state
- RV
- right ventricular
- RVF
- right ventricular failure
- VCAM-1
- vascular cell adhesion molecule
References
1.
Maisel AS, Krishnaswamy P, Nowak RM, McCord J, Hollander JE, Duc P, Omland T, Storrow AB, Abraham WT, Wu AH, et al; Breathing Not Properly Multinational Study Investigators. Rapid measurement of B-type natriuretic peptide in the emergency diagnosis of heart failure. N Engl J Med. 2002;347:161–167. doi: 10.1056/NEJMoa020233
2.
Januzzi JL, Sakhuja R, O’Donoghue M, Baggish AL, Anwaruddin S, Chae CU, Cameron R, Krauser DG, Tung R, Camargo CA, et al. Utility of amino-terminal pro–brain natriuretic peptide testing for prediction of 1-year mortality in patients with dyspnea treated in the emergency department. Arch Intern Med. 2006;166:315–320. doi: 10.1001/archinte.166.3.315
3.
Masson S, Latini R, Anand IS, Barlera S, Angelici L, Vago T, Tognoni G, Cohn JN; Val-HeFT Investigators. Prognostic value of changes in N-terminal pro-brain natriuretic peptide in Val-HeFT (Valsartan Heart Failure Trial). J Am Coll Cardiol. 2008;52:997–1003. doi: 10.1016/j.jacc.2008.04.069
4.
Mehra MR, Goldstein DJ, Uriel N, Cleveland JC, Yuzefpolskaya M, Salerno C, Walsh MN, Milano CA, Patel CB, Ewald GA, et al; MOMENTUM 3 Investigators. Two-year outcomes with a magnetically levitated cardiac pump in heart failure. N Engl J Med. 2018;378:1386–1395. doi: 10.1056/NEJMoa1800866
5.
Birati EY, Hanff TC, Maldonado D, Grandin EW, Kennel PJ, Mazurek JA, Vorovich E, Seigerman M, Howard JLL, Acker MA, et al. Predicting long term outcome in patients treated with continuous flow left ventricular assist device: the Penn-Columbia Risk Score. J Am Heart Assoc. 2018;7:e006408. doi: 10.1161/JAHA.117.006408
6.
Cowger J, Sundareswaran K, Rogers JG, Park SJ, Pagani FD, Bhat G, Jaski B, Farrar DJ, Slaughter MS. Predicting survival in patients receiving continuous flow left ventricular assist devices: the HeartMate II risk score. J Am Coll Cardiol. 2013;61:313–321. doi: 10.1016/j.jacc.2012.09.055
7.
Maltais S, Kilic A, Nathan S, Keebler M, Emani S, Ransom J, Katz JN, Sheridan B, Brieke A, Egnaczyk G, et al; PREVENT Study Investigators. Prevention of HeartMate II pump thrombosis through clinical management: The PREVENT multi-center study. J Heart Lung Transplant. 2017;36:1–12. doi: 10.1016/j.healun.2016.10.001
8.
Chow SL, Maisel AS, Anand I, Bozkurt B, de Boer RA, Felker GM, Fonarow GC, Greenberg B, Januzzi JL, Kiernan MS, et al; American Heart Association Clinical Pharmacology Committee of the Council on Clinical Cardiology; Council on Basic Cardiovascular Sciences; Council on Cardiovascular Disease in the Young; Council on Cardiovascular and Stroke Nursing; Council on Cardiopulmonary, Critical Care, Perioperative and Resuscitation; Council on Epidemiology and Prevention; Council on Functional Genomics and Translational Biology; and Council on Quality of Care and Outcomes Research. Role of Biomarkers for the Prevention, Assessment, and Management of Heart Failure: A Scientific Statement From the American Heart Association. Circulation. 2017;135:e1054–e1091. doi: 10.1161/CIR.0000000000000490
9.
Kramer F, Milting H. Novel biomarkers in human terminal heart failure and under mechanical circulatory support. Biomarkers. 2011;16(Suppl 1):S31–S41. doi: 10.3109/1354750X.2011.561498
10.
Rogers JG, Pagani FD, Tatooles AJ, Bhat G, Slaughter MS, Birks EJ, Boyce SW, Najjar SS, Jeevanandam V, Anderson AS, et al. Intrapericardial left ventricular assist device for advanced heart failure. N Engl J Med. 2017;376:451–460. doi: 10.1056/NEJMoa1602954
11.
Slaughter MS, Rogers JG, Milano CA, Russell SD, Conte JV, Feldman D, Sun B, Tatooles AJ, Delgado RM, Long JW, et al; HeartMate II Investigators. Advanced heart failure treated with continuous-flow left ventricular assist device. N Engl J Med. 2009;361:2241–2251. doi: 10.1056/NEJMoa0909938
12.
Ahmad T, Wang T, O’Brien EC, Samsky MD, Pura JA, Lokhnygina Y, Rogers JG, Hernandez AF, Craig D, Bowles DE, et al. Effects of left ventricular assist device support on biomarkers of cardiovascular stress, fibrosis, fluid homeostasis, inflammation, and renal injury. JACC Heart Fail. 2015;3:30–39. doi: 10.1016/j.jchf.2014.06.013
13.
Lok SI, Nous FM, van Kuik J, van der Weide P, Winkens B, Kemperman H, Huisman A, Lahpor JR, de Weger RA, de Jonge N. Myocardial fibrosis and pro-fibrotic markers in end-stage heart failure patients during continuous-flow left ventricular assist device support. Eur J Cardiothorac Surg. 2015;48:407–415. doi: 10.1093/ejcts/ezu539
14.
Milting H, EL Banayosy A, Kassner A, Fey O, Sarnowski P, Arusoglu L, Thieleczek R, Brinkmann T, Kleesiek K, Körfer R. The time course of natriuretic hormones as plasma markers of myocardial recovery in heart transplant candidates during ventricular assist device support reveals differences among device types. J Heart Lung Transplant. 2001;20:949–955. doi: 10.1016/s1053-2498(01)00289-3
15.
Kemperman H, van den Berg M, Kirkels H, de Jonge N. B-type natriuretic peptide (BNP) and N-terminal proBNP in patients with end-stage heart failure supported by a left ventricular assist device. Clin Chem. 2004;50:1670–1672. doi: 10.1373/clinchem.2003.030510
16.
Bruggink AH, de Jonge N, van Oosterhout MF, Van Wichen DF, de Koning E, Lahpor JR, Kemperman H, Gmelig-Meyling FH, de Weger RA. Brain natriuretic peptide is produced both by cardiomyocytes and cells infiltrating the heart in patients with severe heart failure supported by a left ventricular assist device. J Heart Lung Transplant. 2006;25:174–180. doi: 10.1016/j.healun.2005.09.007
17.
Xydas S, Rosen RS, Ng C, Mercando M, Cohen J, DiTullio M, Magnano A, Marboe CC, Mancini DM, Naka Y, et al. Mechanical unloading leads to echocardiographic, electrocardiographic, neurohormonal, and histologic recovery. J Heart Lung Transplant. 2006;25:7–15. doi: 10.1016/j.healun.2005.08.001
18.
Milting H, Ellinghaus P, Seewald M, Cakar H, Bohms B, Kassner A, Körfer R, Klein M, Krahn T, Kruska L, et al. Plasma biomarkers of myocardial fibrosis and remodeling in terminal heart failure patients supported by mechanical circulatory support devices. J Heart Lung Transplant. 2008;27:589–596. doi: 10.1016/j.healun.2008.02.018
19.
Sareyyupoglu B, Boilson BA, Durham LA, McGregor CG, Daly RC, Redfield MM, Edwards BS, Frantz RP, Pereira NL, Park SJ. B-type natriuretic peptide levels and continuous-flow left ventricular assist devices. ASAIO J. 2010;56:527–531. doi: 10.1097/MAT.0b013e3181f127a7
20.
Grosman-Rimon L, Jacobs I, Tumiati LC, McDonald MA, Bar-Ziv SP, Fuks A, Kawajiri H, Lazarte J, Ghashghai A, Shogilev DJ, et al. Longitudinal assessment of inflammation in recipients of continuous-flow left ventricular assist devices. Can J Cardiol. 2015;31:348–356. doi: 10.1016/j.cjca.2014.12.006
21.
Januzzi JL, Prescott MF, Butler J, Felker GM, Maisel AS, McCague K, Camacho A, Piña IL, Rocha RA, Shah AM, et al; Investigators ftP-H. Association of change in N-Terminal Pro–B-type natriuretic peptide following initiation of sacubitril-valsartan treatment with cardiac structure and function in patients with heart failure with reduced ejection fraction. JAMA. 2019;322:1085–1095.
22.
Kempf T, von Haehling S, Peter T, Allhoff T, Cicoira M, Doehner W, Ponikowski P, Filippatos GS, Rozentryt P, Drexler H, et al. Prognostic utility of growth differentiation factor-15 in patients with chronic heart failure. J Am Coll Cardiol. 2007;50:1054–1060. doi: 10.1016/j.jacc.2007.04.091
23.
Lok SI, Winkens B, Goldschmeding R, van Geffen AJ, Nous FM, van Kuik J, van der Weide P, Klöpping C, Kirkels JH, Lahpor JR, et al. Circulating growth differentiation factor-15 correlates with myocardial fibrosis in patients with non-ischaemic dilated cardiomyopathy and decreases rapidly after left ventricular assist device support. Eur J Heart Fail. 2012;14:1249–1256. doi: 10.1093/eurjhf/hfs120
24.
Aimo A, Januzzi JL, Bayes-Genis A, Vergaro G, Sciarrone P, Passino C, Emdin M. Clinical and prognostic significance of sST2 in heart failure: JACC review topic of the week. J Am Coll Cardiol. 2019;74:2193–2203. doi: 10.1016/j.jacc.2019.08.1039
25.
Tseng CCS, Huibers MMH, Gaykema LH, Siera-de Koning E, Ramjankhan FZ, Maisel AS, de Jonge N. Soluble ST2 in end-stage heart failure, before and after support with a left ventricular assist device. Eur J Clin Invest. 2018;48:e12886. doi: 10.1111/eci.12886
26.
Coromilas E, Que-Xu EC, Moore D, Kato TS, Wu C, Ji R, Givens R, Jorde UP, Takayama H, Naka Y, et al. Dynamics and prognostic role of galectin-3 in patients with advanced heart failure, during left ventricular assist device support and following heart transplantation. BMC Cardiovasc Disord. 2016;16:138. doi: 10.1186/s12872-016-0298-z
27.
Hegarova M, Kubanek M, Netuka I, Maly J, Dorazilova Z, Gazdic T, Franekova J, Lanska V, Melenovsky V, Kautzner J, et al. Clinical correlates of B-type natriuretic peptide monitoring in outpatients with left ventricular assist device. Biomed Pap Med Fac Univ Palacky Olomouc Czech Repub. 2017;161:68–74. doi: 10.5507/bp.2017.003
28.
Hellman Y, Malik AS, Lin H, Shen C, Wang IW, Wozniak TC, Hashmi ZA, Shaukat A, Pickrell J, Caccamo MA, et al. B-type natriuretic peptide-guided therapy and length of hospital stay post left ventricular assist device implantation. ASAIO J. 2015;61:156–160. doi: 10.1097/MAT.0000000000000182
29.
Soliman OII, Akin S, Muslem R, Boersma E, Manintveld OC, Krabatsch T, Gummert JF, de By TMMH, Bogers AJJC, Zijlstra F, et al; EUROMACS Investigators. Derivation and Validation of a Novel Right-Sided Heart Failure Model After Implantation of Continuous Flow Left Ventricular Assist Devices: The EUROMACS (European Registry for Patients with Mechanical Circulatory Support) Right-Sided Heart Failure Risk Score. Circulation. 2018;137:891–906. doi: 10.1161/CIRCULATIONAHA.117.030543
30.
Loghmanpour NA, Kormos RL, Kanwar MK, Teuteberg JJ, Murali S, Antaki JF. A Bayesian Model to predict right ventricular failure following left ventricular assist device therapy. JACC Heart Fail. 2016;4:711–721. doi: 10.1016/j.jchf.2016.04.004
31.
Yost G, Bhat G, Pappas P, Tatooles A. Postoperative B-type natriuretic peptide as predictor for postoperative outcomes in patients implanted with left ventricular assist devices. ASAIO J. 2019;65:148–151. doi: 10.1097/MAT.0000000000000797
32.
Couperus LE, Delgado V, Khidir MJH, Vester MPM, Palmen M, Fiocco M, Holman ER, Tops LF, Klautz RJM, Verwey HF, et al. Pump speed optimization in stable patients with a left ventricular assist device. ASAIO J. 2017;63:266–272. doi: 10.1097/MAT.0000000000000483
33.
Shah P, Mehta VM, Cowger JA, Aaronson KD, Pagani FD. Diagnosis of hemolysis and device thrombosis with lactate dehydrogenase during left ventricular assist device support. J Heart Lung Transplant. 2014;33:102–104. doi: 10.1016/j.healun.2013.07.013
34.
Akin S, Soliman OI, Constantinescu AA, Akca F, Birim O, van Domburg RT, Manintveld O, Caliskan K. Haemolysis as a first sign of thromboembolic event and acute pump thrombosis in patients with the continuous-flow left ventricular assist device HeartMate II. Neth Heart J. 2016;24:134–142. doi: 10.1007/s12471-015-0786-2
35.
Consolo F, Sferrazza G, Motolone G, Contri R, Valerio L, Lembo R, Pozzi L, Della Valle P, De Bonis M, Zangrillo A, et al. Platelet activation is a preoperative risk factor for the development of thromboembolic complications in patients with continuous-flow left ventricular assist device. Eur J Heart Fail. 2018;20:792–800. doi: 10.1002/ejhf.1113
36.
Wever-Pinzon O, Drakos SG, McKellar SH, Horne BD, Caine WT, Kfoury AG, Li DY, Fang JC, Stehlik J, Selzman CH. Cardiac recovery during long-term left ventricular assist device support. J Am Coll Cardiol. 2016;68:1540–1553. doi: 10.1016/j.jacc.2016.07.743
37.
Sodian R, Loebe M, Schmitt C, Potapov EV, Siniawski H, Müller J, Hausmann H, Zurbruegg HR, Weng Y, Hetzer R. Decreased plasma concentration of brain natriuretic peptide as a potential indicator of cardiac recovery in patients supported by mechanical circulatory assist systems. J Am Coll Cardiol. 2001;38:1942–1949. doi: 10.1016/s0735-1097(01)01677-1
38.
Mano A, Nakatani T, Oda N, Kato T, Niwaya K, Tagusari O, Nakajima H, Funatsu T, Hashimoto S, Komamura K, et al. Which factors predict the recovery of natural heart function after insertion of a left ventricular assist system? J Heart Lung Transplant. 2008;27:869–874. doi: 10.1016/j.healun.2008.05.007
39.
Papathanasiou M, Pizanis N, Tsourelis L, Koch A, Kamler M, Rassaf T, Luedike P. Dynamics and prognostic value of B-type natriuretic peptide in left ventricular assist device recipients. J Thorac Dis. 2019;11:138–144. doi: 10.21037/jtd.2018.12.43
40.
Sato T, Seguchi O, Iwashima Y, Yanase M, Nakajima S, Hieda M, Watanabe T, Sunami H, Murata Y, Hata H, et al. Serum brain natriuretic peptide concentration 60 days after surgery as a predictor of long-term prognosis in patients implanted with a left ventricular assist device. ASAIO J. 2015;61:373–378. doi: 10.1097/MAT.0000000000000237
41.
Felker GM, Anstrom KJ, Adams KF, Ezekowitz JA, Fiuzat M, Houston-Miller N, Januzzi JL, Mark DB, Piña IL, Passmore G, et al. Effect of natriuretic peptide-guided therapy on hospitalization or cardiovascular mortality in high-risk patients with heart failure and reduced ejection fraction: a randomized clinical trial. JAMA. 2017;318:713–720. doi: 10.1001/jama.2017.10565
42.
Lund LH, Khush KK, Cherikh WS, Goldfarb S, Kucheryavaya AY, Levvey BJ, Meiser B, Rossano JW, Chambers DC, Yusen RD, et al; International Society for Heart and Lung Transplantation. The Registry of the International Society for Heart and Lung Transplantation: Thirty-fourth Adult Heart Transplantation Report-2017; Focus Theme: Allograft ischemic time. J Heart Lung Transplant. 2017;36:1037–1046. doi: 10.1016/j.healun.2017.07.019
43.
De Vlaminck I, Valantine HA, Snyder TM, Strehl C, Cohen G, Luikart H, Neff NF, Okamoto J, Bernstein D, Weisshaar D, et al. Circulating cell-free DNA enables noninvasive diagnosis of heart transplant rejection. Sci Transl Med. 2014;6:241ra77. doi: 10.1126/scitranslmed.3007803
44.
Grskovic M, Hiller DJ, Eubank LA, Sninsky JJ, Christopherson C, Collins JP, Thompson K, Song M, Wang YS, Ross D, et al. Validation of a clinical-grade assay to measure donor-derived cell-free DNA in solid organ transplant recipients. J Mol Diagn. 2016;18:890–902. doi: 10.1016/j.jmoldx.2016.07.003
45.
Deng MC, Eisen HJ, Mehra MR, Billingham M, Marboe CC, Berry G, Kobashigawa J, Johnson FL, Starling RC, Murali S, et al; CARGO Investigators. Noninvasive discrimination of rejection in cardiac allograft recipients using gene expression profiling. Am J Transplant. 2006;6:150–160. doi: 10.1111/j.1600-6143.2005.01175.x
46.
Pham MX, Teuteberg JJ, Kfoury AG, Starling RC, Deng MC, Cappola TP, Kao A, Anderson AS, Cotts WG, Ewald GA, et al; IMAGE Study Group. Gene-expression profiling for rejection surveillance after cardiac transplantation. N Engl J Med. 2010;362:1890–1900. doi: 10.1056/NEJMoa0912965
47.
Moayedi Y, Foroutan F, Miller RJH, Fan CS, Posada JGD, Alhussein M, Tremblay-Gravel M, Oro G, Luikart HI, Yee J, et al. Risk evaluation using gene expression screening to monitor for acute cellular rejection in heart transplant recipients. J Heart Lung Transplant. 2019;38:51–58. doi: 10.1016/j.healun.2018.09.004
48.
Patel PC, Hill DA, Ayers CR, Lavingia B, Kaiser P, Dyer AK, Barnes AP, Thibodeau JT, Mishkin JD, Mammen PP, et al. High-sensitivity cardiac troponin I assay to screen for acute rejection in patients with heart transplant. Circ Heart Fail. 2014;7:463–469. doi: 10.1161/CIRCHEARTFAILURE.113.000697
49.
Dengler TJ, Zimmermann R, Braun K, Müller-Bardorff M, Zehelein J, Sack FU, Schnabel PA, Kübler W, Katus HA. Elevated serum concentrations of cardiac troponin T in acute allograft rejection after human heart transplantation. J Am Coll Cardiol. 1998;32:405–412. doi: 10.1016/s0735-1097(98)00257-5
50.
Kittleson MM, Skojec DV, Wittstein IS, Champion HC, Judge DP, Barouch LA, Halushka M, Hare JM, Kasper EK, Russell SD. The change in B-type natriuretic peptide levels over time predicts significant rejection in cardiac transplant recipients. J Heart Lung Transplant. 2009;28:704–709. doi: 10.1016/j.healun.2009.04.019
51.
Mancini D, Pinney S, Burkhoff D, LaManca J, Itescu S, Burke E, Edwards N, Oz M, Marks AR. Use of rapamycin slows progression of cardiac transplantation vasculopathy. Circulation. 2003;108:48–53. doi: 10.1161/01.CIR.0000070421.38604.2B
52.
Hognestad A, Endresen K, Wergeland R, Stokke O, Geiran O, Holm T, Simonsen S, Kjekshus JK, Andreassen AK. Plasma C-reactive protein as a marker of cardiac allograft vasculopathy in heart transplant recipients. J Am Coll Cardiol. 2003;42:477–482. doi: 10.1016/s0735-1097(03)00645-4
53.
Arora S, Gunther A, Wennerblom B, Ueland T, Andreassen AK, Gude E, Endresen K, Geiran O, Wilhelmsen N, Andersen R, et al. Systemic markers of inflammation are associated with cardiac allograft vasculopathy and an increased intimal inflammatory component. Am J Transplant. 2010;10:1428–1436. doi: 10.1111/j.1600-6143.2010.03118.x
54.
Arora S, Gullestad L, Wergeland R, Simonsen S, Holm T, Hognestad A, Ueland T, Geiran O, Andreassen A. Probrain natriuretic peptide and C-reactive protein as markers of acute rejection, allograft vasculopathy, and mortality in heart transplantation. Transplantation. 2007;83:1308–1315. doi: 10.1097/01.tp.0000263338.39555.21
55.
Labarrere CA, Nelson DR, Cox CJ, Pitts D, Kirlin P, Halbrook H. Cardiac-specific troponin I levels and risk of coronary artery disease and graft failure following heart transplantation. JAMA. 2000;284:457–464. doi: 10.1001/jama.284.4.457
56.
Morrow DA, de Lemos JA. Benchmarks for the assessment of novel cardiovascular biomarkers. Circulation. 2007;115:949–952. doi: 10.1161/CIRCULATIONAHA.106.683110
57.
Grosman-Rimon L, Billia F, Fuks A, Jacobs I, McDonald M A, Cherney DZ, Rao V. New therapy, new challenges: the effects of long-term continuous flow left ventricular assist device on inflammation. Int J Cardiol. 2016;215:424–430. doi: 10.1016/j.ijcard.2016.04.133
58.
Dunlay SM, Park SJ, Joyce LD, Daly RC, Stulak JM, McNallan SM, Roger VL, Kushwaha SS. Frailty and outcomes after implantation of left ventricular assist device as destination therapy. J Heart Lung Transplant. 2014;33:359–65. doi: 10.1016/j.healun.2013.12.014
Information & Authors
Information
Published In
Copyright
© 2020 American Heart Association, Inc.
Versions
You are viewing the most recent version of this article.
History
Published in print: July 2020
Published online: 14 July 2020
Keywords
Subjects
Authors
Disclosures
Dr Mentz receives research support from the National Institutes of Health (U01HL125511-01A1 and R01AG045551-01A1), Amgen, AstraZeneca, Bayer, GlaxoSmithKline, Gilead, InnoLife, Luitpold/American Regent, Medtronic, Merck, Novartis and Sanofi; honoraria from Abbott, Amgen, AstraZeneca, Bayer, Boston Scientific, Janssen, Luitpold Pharmaceuticals, Medtronic, Merck, Novartis, Roche, Sanofi and Vifor; and has served on an advisory board for Amgen, AstraZeneca, Luitpold, Merck, Novartis and Boehringer Ingelheim. Dr DeVore reports receiving significant research support from the American Heart Association, Amgen, the NHLBI, and Novartis and has served as a consultant for Novartis. Dr Patel serves as a consultant for Abbott Labs. Dr Russell reports research grants from Abbott Labs and serves as a consultant to Medtronic. Dr Felker reports research grants from NHLBI, American Heart Association, Amgen, Merck, Cytokinetics, and Roche Diagnostics; he has acted as a consultant to Novartis, Amgen, BMS, Cytokinetics, Medtronic, Cardionomic, Relypsa, V-Wave, Myokardia, Innolife, EBR Systems, Arena, Abbott, Sphingotec, Roche Diagnostics, Alnylam, LivaNova, Windtree Therapeutics, Rocket Pharma, and SC Pharma. The other authors report no conflicts.
Sources of Funding
No extramural funding was used to support this work.
Metrics & Citations
Metrics
Citations
Download Citations
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Select your manager software from the list below and click Download.
- Advanced Heart Failure and Onset of New Prognostic Markers: Where are We?, Arquivos Brasileiros de Cardiologia, 121, 8, (2024).https://doi.org/10.36660/abc.20240453i
- Insuficiência Cardíaca Avançada e o Surgimento de Novos Marcadores de Prognóstico: Onde Estamos?, Arquivos Brasileiros de Cardiologia, 121, 8, (2024).https://doi.org/10.36660/abc.20240453
- The role and application of current pharmacological management in patients with advanced heart failure, Heart Failure Reviews, 29, 2, (535-548), (2024).https://doi.org/10.1007/s10741-024-10383-0
- Efficacy of omecamtiv mecarbil in heart failure with reduced ejection fraction according to N‐terminal pro‐B‐type natriuretic peptide level: insights from the GALACTIC‐HF trial, European Journal of Heart Failure, 25, 2, (248-259), (2023).https://doi.org/10.1002/ejhf.2763
- The evolution of cardiac biomarker assays in supplantation of complicated multimodal diagnostic approach towards cardiac disease., Journal of Applied Biochemistry & Laboratory Medicine, 3, 1, (15-21), (2022).https://doi.org/10.5005/JABLM-11031-03105
- Oncostatin M: a Potential Biomarker to Predict Infection in Patients with Left Ventricular Assist Devices, ASAIO Journal, 68, 8, (1036-1043), (2021).https://doi.org/10.1097/MAT.0000000000001608
Loading...
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Personal login Institutional LoginPurchase Options
Purchase this article to access the full text.
eLetters(0)
eLetters should relate to an article recently published in the journal and are not a forum for providing unpublished data. Comments are reviewed for appropriate use of tone and language. Comments are not peer-reviewed. Acceptable comments are posted to the journal website only. Comments are not published in an issue and are not indexed in PubMed. Comments should be no longer than 500 words and will only be posted online. References are limited to 10. Authors of the article cited in the comment will be invited to reply, as appropriate.
Comments and feedback on AHA/ASA Scientific Statements and Guidelines should be directed to the AHA/ASA Manuscript Oversight Committee via its Correspondence page.