Activity of the adrenomedullin system to personalise post-discharge diuretic treatment in acute heart failure

Adjustment of the SMART risk score by bioactive adrenomedullin enables a more accurate prediction of mortality in patients with ASCVD

BACKGROUND AND AIMS

Bioactive adrenomedullin 1-52 (bio-ADM) is a novel biomarker for the assessment of endothelial function and prediction of adverse outcomes in patients with acute heart failure and cardiogenic shock. The SMART (Second Manifestations of Arterial Disease) risk score is a validated tool for risk assessment in patients with established atherosclerotic cardiovascular disease (ASCVD). Here we assessed whether bio-ADM adds incremental prognostic value to the SMART risk score in stable patients with ASCVD.

METHODS

Circulating bio-ADM levels were measured in 452 stable patients with ASCVD. Endpoints evaluated were all-cause and cardiovascular mortality; follow up was 3 years.

RESULTS

Bio-ADM was higher in non-survivors (n = 45; median 36.8 pg/mL) compared to survivors (n = 407; median 18.3 pg/mL; p < 0.0001). Bio-ADM was found to be a strong predictor for all-cause mortality (Chi2: 44.58; C-index: 0.79) as well as cardiovascular death (Chi2: 33.29; C-index: 0.85) and proved to be superior to other markers including hs-Troponin T (Chi2: 7.77; C-index: 0.73) and eGFRCKD-EPI 2021 (Chi2: 25.10; C-index: 0.70). In multivariable analyses adjusting for age, sex, diabetes mellitus, hypertension, smoking, NT-proBNP, and eGFRCKD-EPI 2021, bio-ADM remained independently associated with all-cause mortality (HR: 1.6; 95 % CI: 1.2-2.1; Chi2: 96.17; p < 0.00001; C-index: 0.89) and cardiovascular death (HR: 1.7; 95 % CI: 1.1-2.5; Chi2: 57.71; p < 0.00001; C-index: 0.88). Addition of bio-ADM to the SMART risk score meaningfully improved model performance in predicting mortality (SMART risk score: Chi2: 19.91; p = 0.0001; C-index: 0.69; SMART risk score + bio-ADM: Chi2: 54.51; p < 0.00001; C-index: 0.81).

CONCLUSIONS

Bio-ADM levels are independently associated with mortality and provide incremental added value on top of the SMART risk score in stable patients with ASCVD.

Diagnostic and prognostic utility of bone morphogenetic protein 10 in acute dyspnea: a cohort study

BACKGROUND AND AIM

The possible clinical utility of Bone Morphogenetic Protein 10 (BMP10), a novel atrial-specific biomarker, is incompletely understood. We aimed to test the hypothesis that BMP10 has high diagnostic and prognostic accuracy in patients presenting with acute dyspnea.

METHODS AND RESULTS

In a multicenter diagnostic study, BMP10, high-sensitivity cardiac troponin T (hs-cTnT), and N-terminal pro-B-type natriuretic peptide (NT-proBNP) concentrations were determined in patients presenting with acute dyspnea to the emergency department. The final diagnosis was centrally adjudicated by two independent cardiologists blinded to BMP10. Diagnostic accuracy for acute heart failure (AHF) was quantified using the area under the receiver operating characteristic curve (AUC). 720-day all-cause mortality and the composite of all-cause mortality or AHF rehospitalization were prognostic endpoints. Among 933 consecutive patients, 54% were adjudicated to have AHF. Patients with AHF had higher BMP10 concentrations (median 3.34 [IQR 2.55-4.35] ng/mL) compared to patients with other causes of acute dyspnea (2.04 [1.74-2.45] ng/mL, p < 0.001). The AUC of BMP10 was 0.85 (95%CI, 0.82-0.87), versus 0.79 (95%CI, 0.76-0.82, p < 0.001) for hs-cTnT and 0.91 (95%CI, 0.90-0.93, p < 0.001) for NT-proBNP. The combination of BMP10 with NT-proBNP (AUC 0.92, 95%CI, 0.90-0.94) did not significantly increase the AUC versus NT-proBNP alone. BMP10 was a powerful predictor of death and AHF rehospitalization, but did not provide incremental value to models including NT-proBNP.

CONCLUSION

BMP10 had a high diagnostic accuracy for AHF and high prognostic accuracy for death and AHF rehospitalization. However, it did not provide relevant incremental value to the current gold standard NT-proBNP.

Pro-adrenomedullin associates with congestion in acute heart failure patients

AIM

Congestion is a major determinant of outcomes in acute heart failure. Its assessment is complex, making sufficient decongestive therapy a challenge. Residual congestion is frequent at discharge, increasing the risk of re-hospitalization and death. Mid-regional pro-adrenomedullin mirrors vascular integrity and may therefore be an objective marker to quantify congestion and to guide decongestive therapies in patients with acute heart failure.

METHODS AND RESULTS

Observational, prospective, single-centre study in unselected patients presenting with acute heart failure. This study aimed to assess adrenomedullin's association with congestion and clinical outcomes: in-hospital death, post-discharge mortality and in-hospital worsening heart failure according to RELAX-AHF-2 trial criteria. Pro-adrenomedullin was quantified at baseline and at discharge. Congestion was assessed applying clinical scores. Cox and logistic regression models with adjustment for clinical features were fitted. N = 233, median age 77 years (IQR 67, 83), 148 male (63.5%). Median pro-adrenomedullin 2.0 nmol/L (IQR 1.4, 2.9). Eight patients (3.5%) died in hospital and 100 (44.1%) experienced in-hospital worsening heart failure. After discharge, 60 patients (36.6%) died over a median follow-up of 1.92 years (95% CI: 1.76, 2.46). Pro-adrenomedullin concentrations (logarithmized) were significantly associated with congestion, both at enrolment (β = 0.36 and 0.81 depending on score, each P < 0.05) and at discharge (β = 1.12, P < 0.001). Enrolment of pro-adrenomedullin was associated with in-hospital worsening heart failure [OR 4.23 (95% CI: 1.87, 9.58), P < 0.001], and pro-adrenomedullin at discharge was associated with post-discharge death [HR 3.93 (1.86, 8.67), P < 0.001].

CONCLUSION

Elevated pro-adrenomedullin is associated with in-hospital worsening heart failure and with death during follow-up in patients with acute heart failure. Further research is needed to validate this finding and to explore the ability of pro-adrenomedullin to guide decongestive treatment.

Plasma bioactive adrenomedullin predicts mortality and need for dialysis in critical COVID-19

COVID-19 is a severe respiratory disease affecting millions worldwide, causing significant morbidity and mortality. Adrenomedullin (bio-ADM) is a vasoactive hormone regulating the endothelial barrier and has been associated with COVID-19 mortality and other adverse events. This prospective cohort pilot study included 119 consecutive patients with verified SARS-CoV-2 infection admitted to two intensive care units (ICUs) in Southern Sweden. Bio-ADM was retrospectively analysed from plasma on ICU admission, and days 2 and 7. Information on comorbidities, adverse events and mortality was collected. The primary outcome was 90-day mortality, and secondary outcomes were markers of disease severity. The association between bio-ADM and outcomes was analysed using survival analysis and logistic regression. Bio-ADM on admission, day 2, and day 7 only moderately predicted 90-day mortality in univariate and multivariate Cox regression. The relative change in bio-ADM between sample times predicted 90-day mortality better even when adjusting for the SAPS3 score, with an HR of 1.09 (95% CI 1.04-1.15) and a C-index of 0.82 (95% CI 0.72-0.92) for relative change between day 2 and day 7. Bio-ADM had a good prediction of the need for renal replacement therapy in multivariate Cox regression adjusting for creatinine, where day 2 bio-ADM had an HR of 3.18 (95% CI 1.21-8.36) and C-index of 0.91 (95% CI 0.87-0.96). Relative changes did not perform better, possibly due to a small sample size. Admission and day 2 bio-ADM was associated with early acute kidney injury (AKI). Bio-ADM on ICU admission, day 2 and day 7 predicted 90-day mortality and dialysis needs, highlighting bio-ADM's importance in COVID-19 pathophysiology. Bio-ADM could be used to triage patients with a risk of adverse outcomes and as a potential target for clinical interventions.

Circulating biomarkers of myocardial remodelling: current developments and clinical applications

Myocardial remodelling, entailing cellular and molecular changes in the different components of the cardiac tissue in response to damage, underlies the morphological and structural changes leading to cardiac remodelling, which in turn contributes to cardiac dysfunction and disease progression. Since cardiac tissue is not available for histomolecular diagnosis, surrogate markers are needed for evaluating myocardial remodelling as part of the clinical management of patients with cardiac disease. In this setting, circulating biomarkers, a component of the liquid biopsy, provide a promising approach for the fast, affordable and scalable screening of large numbers of patients, allowing the detection of different pathological features related to myocardial remodelling, aiding in risk stratification and therapy monitoring. However, despite the advances in the field and the identification of numerous potential candidates, their implementation in clinical practice beyond natriuretic peptides and troponins is mostly lacking. In this review, we will discuss some biomarkers related to alterations in the main cardiac tissue compartments (cardiomyocytes, extracellular matrix, endothelium and immune cells) which have shown potential for the assessment of cardiovascular risk, cardiac remodelling and therapy effects. The hurdles and challenges for their translation into clinical practice will also be addressed.

Hypertensive Heart Disease: A Narrative Review Series-Part 3: Vasculature, Biomarkers and the Matrix of Hypertensive Heart Disease

Over the last few decades, research efforts have resulted in major advances in our understanding of the pathophysiology of hypertensive heart disease (HHD). This is the third part of a three-part review series. Here, we focus on the influence of high blood pressure on the micro- and macroalterations that occur in the vasculature in HHD. We also provide an overview of circulating cardiac biomarkers that may prove useful for a better understanding of the pathophysiology, development and progression of HHD, and may play a unique role in the diagnostic and prognostic evaluation of patients with HHD, taking into account their properties showing as abnormal long before the onset of the disease. In the conclusion, we propose an updated definition of HHD and a matrix for clinical classification, which we suspect will be useful in practice, allowing an individual approach to HHD patients.

Prognostic Value of Self-Reported Subjective Exercise Capacity in Patients With Acute Dyspnea

Background

Self-reported exercise capacity is a well-established prognostic measure in stable ambulatory patients with cardiac and pulmonary disease.

Objectives

The authors aimed to directly compare the prognostic accuracy of quantified self-reported exercise capacity using the Duke Activity Status Index (DASI) with the established objective disease-severity marker B-type natriuretic peptide (BNP) in patients presenting with acute dyspnea to the emergency department.

Methods

The DASI was obtained in a prospective multicenter diagnostic study recruiting unselected patients presenting with acute dyspnea to the emergency department. The prognostic accuracy of DASI and BNP for 90-day and 720-day all-cause mortality was evaluated using C-index.

Results

Among 1,019 patients eligible for this analysis, 75 (7%) and 297 (29%) patients died within 90 and 720 days after presentation, respectively. Unadjusted hazard ratios (HRs) and multivariable adjusted hazard ratios (aHRs) for 90- and 720-day mortality increased continuously from the fourth (best self-reported exercise capacity) to the first DASI quartile (worst self-reported exercise capacity). For 720-day mortality the HR of the first quartile vs the fourth was 9.1 (95% CI, 5.5-14.9) vs (aHR: 6.1, 95% CI: 3.7-10.1), of the second quartile 6.4 (95% CI: 3.9-10.6) vs (aHR: 4.4, 95% CI: 2.6-7.3), while of the third quartile the HR was 3.2 (95% CI: 1.9-5.5) vs (aHR: 2.4, 95% CI: 1.4-4.0). The prognostic accuracy of the DASI score was high, and higher than that of BNP concentrations (720-day mortality C-index: 0.67 vs 0.62; P = 0.024).

Conclusions

Quantification of self-reported subjective exercise capacity using the DASI provides high prognostic accuracy and may aid physicians in risk stratification. (Basics in Acute Shortness of Breath EvaLuation [BASEL V] Study [BASEL V]; NCT01831115).

Laboratory and Metabolomic Fingerprint in Heart Failure with Preserved Ejection Fraction: From Clinical Classification to Biomarker Signature

Heart failure with preserved ejection fraction (HFpEF) remains a poorly characterized syndrome with many unknown aspects related to different patient profiles, various associated risk factors and a wide range of aetiologies. It comprises several pathophysiological pathways, such as endothelial dysfunction, myocardial fibrosis, extracellular matrix deposition and intense inflammatory system activation. Until now, HFpEF has only been described with regard to clinical features and its most commonly associated risk factors, disregarding all biological mechanisms responsible for cardiovascular deteriorations. Recently, innovations in laboratory and metabolomic findings have shown that HFpEF appears to be strictly related to specific cells and molecular mechanisms' dysregulation. Indeed, some biomarkers are efficient in early identification of these processes, adding new insights into diagnosis and risk stratification. Moreover, recent advances in intermediate metabolites provide relevant information on intrinsic cellular and energetic substrate alterations. Therefore, a systematic combination of clinical imaging and laboratory findings may lead to a 'precision medicine' approach providing prognostic and therapeutic advantages. The current review reports traditional and emerging biomarkers in HFpEF and it purposes a new diagnostic approach based on integrative information achieved from risk factor burden, hemodynamic dysfunction and biomarkers' signature partnership.

Congestion in heart failure: a circulating biomarker-based perspective. A review from the Biomarkers Working Group of the Heart Failure Association, European Society of Cardiology

Congestion is a cardinal sign of heart failure (HF). In the past, it was seen as a homogeneous epiphenomenon that identified patients with advanced HF. However, current evidence shows that congestion in HF varies in quantity and distribution. This updated view advocates for a congestive-driven classification of HF according to onset (acute vs. chronic), regional distribution (systemic vs. pulmonary), compartment of distribution (intravascular vs. extravascular), and clinical vs. subclinical. Thus, this review will focus on the utility of circulating biomarkers for assessing and managing the different fluid overload phenotypes. This discussion focused on the clinical utility of the natriuretic peptides, carbohydrate antigen 125 (also called mucin 16), bio-adrenomedullin and mid-regional pro-adrenomedullin, ST2 (also known as interleukin-1 receptor-like 1), cluster of differentiation 146, troponin, C-terminal pro-endothelin-1, and parameters of haemoconcentration. The utility of circulation biomarkers on top of clinical evaluation, haemodynamics, and imaging needs to be better determined by dedicated studies. Some multiparametric frameworks in which these tools contribute to management are proposed.