Conversion formula from B-type natriuretic peptide to N-terminal proBNP values in patients with cardiovascular diseases

Prognostic impact of MitraScore in elderly Asian patients with heart failure: sub-analysis of FRAGILE-HF

AIMS

MitraScore is a novel, simple, and manually calculatable risk score developed as a prognostic model for patients undergoing transcatheter edge-to-edge repair (TEER) for mitral regurgitation. As its components are considered prognostic in heart failure (HF), we aimed to investigate the usefulness of the MitraScore in HF patients.

METHODS AND RESULTS

We calculated MitraScore for 1100 elderly patients (>65 years old) hospitalized for HF in the prospective multicentre FRAGILE-HF study and compared its prognostic ability with other simple risk scores. The primary endpoint was all-cause deaths, and the secondary endpoints were the composite of all-cause deaths and HF rehospitalization and cardiovascular deaths. Overall, the mean age of 1100 patients was 80 ± 8 years, and 58% were men. The mean MitraScore was 3.2 ± 1.4, with a median of 3 (interquartile range: 2-4). A total of 326 (29.6%), 571 (51.9%), and 203 (18.5%) patients were classified into low-, moderate-, and high-risk groups based on the MitraScore, respectively. During a follow-up of 2 years, 226 all-cause deaths, 478 composite endpoints, and 183 cardiovascular deaths were observed. MitraScore successfully stratified patients for all endpoints in the Kaplan-Meier analysis (P < 0.001 for all). In multivariate analyses, MitraScore was significantly associated with all endpoints after covariate adjustments [adjusted hazard ratio (HR) (95% confidence interval): 1.22 (1.10-1.36), P < 0.001 for all-cause deaths; adjusted HR 1.17 (1.09-1.26), P < 0.001 for combined endpoints; and adjusted HR 1.24 (1.10-1.39), P < 0.001 for cardiovascular deaths]. The Hosmer-Lemeshow plot showed good calibration for all endpoints. The net reclassification improvement (NRI) analyses revealed that the MitraScore performed significantly better than other manually calculatable risk scores of HF: the GWTG-HF risk score, the BIOSTAT compact model, the AHEAD score, the AHEAD-U score, and the HANBAH score for all-cause and cardiovascular deaths, with respective continuous NRIs of 0.20, 0.22, 0.39, 0.39, and 0.29 for all-cause mortality (all P-values < 0.01) and 0.20, 0.22, 0.42, 0.40, and 0.29 for cardiovascular mortality (all P-values < 0.02).

CONCLUSIONS

MitraScore developed for patients undergoing TEER also showed strong discriminative power in HF patients. MitraScore was superior to other manually calculable simple risk scores and might be a good choice for risk assessment in clinical practice for patients receiving TEER and those with HF.

Evaluation of the A2B Score for Prediction of Survival in Patients With Heart Failure in a Nationwide Cohort in Japan

BACKGROUND

Although a tool for sharing patient prognosis among all medical staff is desirable in heart failure (HF) cases, only a few simple HF prognostic scores are available. We previously presented the A2B score, a simple user-friendly HF risk score, and validated it in a small single-center cohort. In the present study, we validated it in a larger nationwide cohort.

METHODS AND RESULTS

We examined the 2-year mortality in relation to the A2B scores in 3483 patients from a Japanese nationwide cohort and attempted to stratify their prognoses according to the scores. The A2B score was determined by assigning points for age, anemia, and brain natriuretic peptide (BNP) level at discharge: age (<65 years, 0; 65-74 years, 1; ≥75 years, 2), anemia (hemoglobin ≥12 g/dL, 0; 10-11.9 g/dL, 1; <10 g/dL, 2), and BNP (<200 pg/mL, 0; 200-499 pg/mL, 1; ≥500 pg/mL, 2). Hemoglobin and BNP levels were applied to the data at discharge. The 2-year survival rates for A2B scores 1, 2, 3, 4, 5, and 6 were 94.1%, 83.2%, 74.1%, 63.5%, 51.6%, and 41.5%, respectively; the mortality rate increased by ≈10% for each point increase (c-index, 0.702). The A2B score was applicable in HF cases with reduced or preserved ejection fraction and remained useful when BNP was substituted with N-terminal proBNP (c-index, 0.749, 0.676, and 0.682, respectively).

CONCLUSIONS

The A2B score showed a good prognostic value for HF in a large population even when BNP was replaced with N-terminal proBNP.

Three-dimensional echocardiographic left ventricular strain analysis in Fabry disease: correlation with heart failure severity, myocardial scar, and impact on long-term prognosis

AIMS

Fabry disease (FD) is a multisystemic lysosomal storage disorder caused by a defect in the alpha-galactosidase A gene that manifests as a phenocopy of hypertrophic cardiomyopathy. We assessed the echocardiographic 3D left ventricular (LV) strain of patients with FD in relation to heart failure severity using natriuretic peptides, the presence of a cardiovascular magnetic resonance (CMR) late gadolinium enhancement scar, and long-term prognosis.

METHODS AND RESULTS

3D echocardiography was feasible in 75/99 patients with FD [aged 47 ± 14 years, 44% males, LV ejection fraction (EF) 65 ± 6% and 51% with hypertrophy or concentric remodelling of the LV]. Long-term prognosis (death, heart failure decompensation, or cardiovascular hospitalization) was assessed over a median follow-up of 3.1 years. A stronger correlation was observed for N-terminal pro-brain natriuretic peptide levels with 3D LV global longitudinal strain (GLS, r = -0.49, P < 0.0001) than with 3D LV global circumferential strain (GCS, r = -0.38, P < 0.001) or 3D LVEF (r = -0.25, P = 0.036). Individuals with posterolateral scar on CMR had lower posterolateral 3D circumferential strain (CS; P = 0.009). 3D LV-GLS was associated with long-term prognosis [adjusted hazard ratio 0.85 (confidence interval 0.75-0.95), P = 0.004], while 3D LV-GCS and 3D LVEF were not (P = 0.284 and P = 0.324).

CONCLUSION

3D LV-GLS is associated with both heart failure severity measured by natriuretic peptide levels and long-term prognosis. Decreased posterolateral 3D CS reflects typical posterolateral scarring in FD. Where feasible, 3D-strain echocardiography can be used for a comprehensive mechanical assessment of the LV in patients with FD.

Natriuretic peptide testing strategies in heart failure: A 2023 update

Natriuretic peptides (NPs), including B-type natriuretic peptide (BNP) and N-terminal pro-BNP (NT-proBNP), have been recommended as standard biomarkers for diagnosing heart failure (HF), and one of the strongest risk predictors for mortality and HF hospitalization regardless of ejection fraction (EF) and etiology of HF. BNP is an active neurohormone opposing renin-angiotensin-aldosterone and sympathetic nervous system overactivated in HF, whereas NT-proBNP is an inactive prohormone released from cardiomyocytes in response to wall stress. Despite substantial advances in the development of guideline-directed medical therapy (GDMT) for HF with reduced EF, studies demonstrating direct benefits of NP-guided chronic HF therapy on mortality, HF hospitalization, and GDMT optimization have yielded conflicting results. However, accumulating evidence shows that achieving prespecified BNP or NT-proBNP target over time is significantly associated with favorable outcomes, suggesting that benefits of serially measured NPs may be limited to particular groups of HF patients, such as those with extreme levels of baseline BNP or NT-proBNP, which could represent severe phenotypes of HF associated with natriuretic peptide resistance or cardiorenal syndrome. Over the past decade, clinical utilization of BNP and NT-proBNP has been expanded, especially using serial NP measurements for guiding HF therapy, optimizing GDMT and identifying at-risk patients with HF phenotypes who may be minimally symptomatic or asymptomatic.

DCM-PROGRESS: predicting end-stage heart failure in non-ischemic dilated cardiomyopathy patients

Aims

Patients with non-ischemic dilated cardiomyopathy (DCM) are at considerable risk for end-stage heart failure (HF), requiring close monitoring to identify early signs of disease. We aimed to develop a model to predict the 5-years risk of end-stage HF, allowing for tailored patient monitoring and management.

Methods and results

Derivation data were available from a Dutch cohort of 293 DCM patients, with external validation available from a Czech Republic cohort of 235 DCM patients. Candidate predictors spanned patient and family histories, ECG and echocardiogram measurements, and biochemistry. End-stage HF was defined as a composite of death, heart transplantation, or implantation of a ventricular assist device. Lasso and sigmoid kernel support vector machine (SVM) algorithms were trained using cross-validation. During follow-up 65 (22%) of Dutch DCM patients developed end-stage HF, with 27 (11%) cases in the Czech cohort. Out of the two considered models, the lasso model (retaining NYHA class, heart rate, systolic blood pressure, height, R-axis, and TAPSE as predictors) reached the highest discriminative performance (testing c-statistic of 0.85, 95%CI 0.58; 0.94), which was confirmed in the external validation cohort (c-statistic of 0.75, 95%CI 0.61; 0.82), compared to a c-statistic of 0.69 for the MAGGIC score. Both the MAGGIC score and the DCM-PROGRESS model slightly over-estimated the true risk, but were otherwise appropriately calibrated.

Conclusion

We developed a highly discriminative risk-prediction model for end-stage HF in DCM patients. The model was validated in two countries, suggesting the model can meaningfully improve clinical decision-making.

Left Ventricular Dysfunction Associated With Brain Death: Results From the Donor Heart Study

BACKGROUND

Left ventricular dysfunction in potential donors meeting brain death criteria often results in nonuse of donor hearts for transplantation, yet little is known about its incidence or pathophysiology. Resolving these unknowns was a primary aim of the DHS (Donor Heart Study), a multisite prospective cohort study.

METHODS

The DHS enrolled potential donors by neurologic determination of death (n=4333) at 8 organ procurement organizations across the United States between February 2015 and May 2020. Data included medications administered, serial diagnostic tests, and transthoracic echocardiograms (TTEs) performed: (1) within 48 hours after brain death was formally diagnosed; and (2) 24±6 hours later if left ventricular (LV) dysfunction was initially present. LV dysfunction was defined as an LV ejection fraction <50% and was considered reversible if LV ejection fraction was >50% on the second TTE. TTEs were also examined for presence of LV regional wall motion abnormalities and their reversibility. We assessed associations between LV dysfunction, donor heart acceptance for transplantation, and recipient 1-year survival.

RESULTS

An initial TTE was interpreted for 3794 of the 4333 potential donors by neurologic determination of death. A total of 493 (13%) of these TTEs showed LV dysfunction. Among those donors with an initial TTE, LV dysfunction was associated with younger age, underweight, and higher NT-proBNP (N-terminal pro-B-type natriuretic peptide) and troponin levels. A second TTE was performed within 24±6 hours for a subset of donors (n=224) with initial LV dysfunction; within this subset, 130 (58%) demonstrated reversibility. Sixty percent of donor hearts with normal LV function were accepted for transplant compared with 56% of hearts with reversible LV dysfunction and 24% of hearts with nonreversible LV dysfunction. Donor LV dysfunction, whether reversible or not, was not associated with recipient 1-year survival.

CONCLUSIONS

LV dysfunction associated with brain death occurs in many potential heart donors and is sometimes reversible. These findings can inform decisions made during donor evaluation and help guide donor heart acceptance for transplantation.

Conversion between B-type natriuretic peptide and N-terminal pro B-type natriuretic peptide in perioperative risk assessment: protocol for a prospective cohort study

INTRODUCTION

Both B-type natriuretic peptide (BNP) and N-terminal pro-BNP (NT-pro-BNP) are used to identify patients at risk of perioperative vascular events, but prognostic thresholds have been established in a large prospective cohort for NT-pro-BNP only. We designed this study to inform perioperative risk interpretation of BNP values. Our primary objective is to validate a formula to convert BNP to NT-pro-BNP concentrations before non-cardiac surgery. The secondary objective is to determine the association between BNP categories (established based on conversion from NT-pro-BNP categories) and a composite outcome of myocardial injury after non-cardiac surgery (MINS) and vascular death.

METHODS AND ANALYSIS

This is a single-centre, prospective cohort study in patients undergoing non-cardiac surgery who are >65 years old, Revised Cardiac Risk Index ≥1 or >45 years old with significant cardiovascular disease. BNP and NT-pro-BNP will be measured preoperatively, and troponin measurements will be analysed on postoperative days 1, 2 and 3. MINS and vascular death will be ascertained up to 30 days after surgery. The primary analyses will compare measured NT-pro-BNP values to those predicted by an existing formula (from a non-surgical population) based on BNP concentrations and patient characteristics, and recalibrate and update the formula with additional variables. Secondary analyses will estimate the relationship between categories of measured BNP (corresponding to established NT-pro-BNP thresholds) and the composite of MINS and vascular death. The target sample size of 431 patients is based on our primary analysis (assessing the conversion formula).

ETHICS AND DISSEMINATION

Ethics approval has been obtained by the Queen's University Health Sciences Research Ethics Board, and all participants will provide informed consent for participation in the study. The results will be submitted for publication in conferences and in a peer-reviewed journal, and will inform perioperative vascular risk interpretation of preoperative BNP.

TRIAL REGISTRATION NUMBER

NCT05352698.

Which congestion presentation pattern on the physical findings is associated with future adverse events? A cluster analysis in the multicenter acute heart failure registry

BACKGROUND

Clinical congestion is the most frequent reason for hospital admission in patients with acute heart failure (AHF). However, few studies have investigated the patterns and prognostic implication of the physical congestion using unbiased and robust statistical methods.

METHODS

A hierarchical agglomerative clustering analysis was performed in the multicenter Japanese AHF registry (N = 3151) with the distance calculated by Jaccard's distance for jugular vein distention (JVD), leg edema, S3, crackles, and orthopnea. The primary outcome was a composite of cardiac death and heart failure readmission within 1-year.

RESULTS

At the time of admission, the median number of prevalent congestive signs was 2. We identified three phenogroups: 'no physical congestions' (N = 251); 'congestion without JVD' (N = 1415); and 'congestion with JVD' (N = 1495). Patients in 'no physical congestion' were the youngest (median 75 [62, 83] years) with the lowest systolic blood pressure (122 [106, 142] mmHg). Patients in 'congestion without JVD', and 'congestion with JVD' were similar in terms of age (77 [67, 84] vs. 78 [69, 84] years) and systolic blood pressure (138 [118, 160] vs. 137 [118, 158] mmHg). While 30-day mortality was similar (4.0%, 3.7%, and 4.3% in 'no physical congestion,' 'congestion without JVD,' and 'congestion with JVD', respectively), the patients in 'congestion with JVD' were at the highest risk for the primary outcome (adjusted hazard ratio 1.79, 95% CI 1.26-2.55 when 'no physical congestion' was a reference).

CONCLUSIONS

Our clustering analysis demonstrated that congestion signs, particularly JVD, allowed identification of AHF phenogroups with distinct clinical characteristics and long-term outcomes.

Clinical application of artificial intelligence algorithm for prediction of one-year mortality in heart failure patients

Risk prediction for heart failure (HF) using machine learning methods (MLM) has not yet been established at practical application levels in clinical settings. This study aimed to create a new risk prediction model for HF with a minimum number of predictor variables using MLM. We used two datasets of hospitalized HF patients: retrospective data for creating the model and prospectively registered data for model validation. Critical clinical events (CCEs) were defined as death or LV assist device implantation within 1 year from the discharge date. We randomly divided the retrospective data into training and testing datasets and created a risk prediction model based on the training dataset (MLM-risk model). The prediction model was validated using both the testing dataset and the prospectively registered data. Finally, we compared predictive power with published conventional risk models. In the patients with HF (n = 987), CCEs occurred in 142 patients. In the testing dataset, the substantial predictive power of the MLM-risk model was obtained (AUC = 0.87). We generated the model using 15 variables. Our MLM-risk model showed superior predictive power in the prospective study compared to conventional risk models such as the Seattle Heart Failure Model (c-statistics: 0.86 vs. 0.68, p < 0.05). Notably, the model with an input variable number (n = 5) has comparable predictive power for CCE with the model (variable number = 15). This study developed and validated a model with minimized variables to predict mortality more accurately in patients with HF, using a MLM, than the existing risk scores.

Early Diagnosis of Chemotherapy-Linked Cardiotoxicity in Breast Cancer Patients Using Conventional Biomarker Panel: A Prospective Study Protocol

The prognosis of cancer treatment depends on, among other aspects, the cardiotoxicity of chemotherapy. This research aims to create a feasible algorithm for the early diagnosis of antitumor therapy cardiotoxicity in breast cancer patients. The paper represents a protocol for a prospective cohort study with N 120 eligible participants admitted for treatment with anthracyclines and/or trastuzumab. These patients will be allocated into four risk groups regarding potential cardiotoxic complications. Patients will be examined five times every three months for six biomarkers,: cardiac troponin I (cTnI), brain natriuretic peptide (BNP), C-reactive protein (CRP), myeloperoxidase (MPO), galectin-3 (Gal-3), and D-dimer, simultaneously with echocardiographic methods, including speckle tracking. The adjusted relative risk (aOR) of interrupting an entire course of chemotherapy due to cardiotoxic events will be assessed using multiple analyses of proportional Cox risks. The Cox model will also assess associations between baseline biomarker values and time to cardiotoxic events. Moreover, partly conditional survival models will be applied to determine associations between repeated assessments of changes in biomarkers from baseline and time to cancer therapy-related cardiac dysfunction. All models will be adjusted for cancer therapy regimen, baseline LVEF, groups at risk, baseline biomarker values, and age. The decision-tree and principal component analysis (PCA) methods will also be applied. Thus, feasible patterns will be detected.

Heart failure in Fabry disease revisited: application of current heart failure guidelines and recommendations

AIMS

Fabry disease (FD) is often associated with heart failure (HF). However, data on HF prevalence, prognosis, and applicability of echocardiographic criteria for HF diagnosis in FD remain uncertain.

METHODS AND RESULTS

We evaluated patients with genetically proven FD for symptoms and natriuretic peptides indicating HF. We then analysed the diagnostic utility of the currently recommended European Society of Cardiology (ESC) echocardiographic criteria for HF diagnosis and their relationship to natriuretic peptides. Finally, we examined the association between HF and echocardiographic criteria with mortality and cardiovascular events during follow-up. Of 116 patients with FD, 48 (41%) had symptomatic HF (mean age 58 ± 11 years, 62% male). HF with preserved ejection fraction (HF-pEF) was diagnosed in 43 (91%) patients, representing the dominant phenotype. Left ventricular mass index (LVMi) had the highest diagnostic utility (sensitivity 71% and specificity 83%) for HF diagnosis in FD, followed by E/e' > 9 (sensitivity 76% and specificity 78%) and global longitudinal strain (GLS) <16% (sensitivity 54% and specificity 88%). Log N-terminal pro-brain natriuretic peptide correlated significantly with LVMi (r = 0.60), E/e' (r = 0.54), and GLS (r = 0.52) (all Ps < 0.001) but not with left ventricular ejection fraction (r = -0.034, P = 0.72). During follow-up (mean 1208 ± 444 days), patients diagnosed with HF had a higher rate of all-cause mortality and worsening HF (33% vs. 1.5%, P < 0.001). Abnormal LVMi, E/e' > 9, and GLS < 16% were all associated with higher all-cause mortality and worsening HF.

CONCLUSIONS

This study found a high prevalence of symptomatic HF in FD patients. HF-pEF was the dominant phenotype. LVMi, E/e', and GLS yielded the highest diagnostic utility for HF diagnosis and were significantly correlated with natriuretic peptides levels. Echocardiographic criteria proposed by current ESC HF guidelines apply to Fabry patients and predict cardiovascular events. At follow-up, Fabry patients with HF diagnosis had high event rates and significantly worse prognosis than patients without HF.

Challenges encountered in conducting donor-based research: Lessons learned from the Donor Heart Study

Solid organ transplantation continues to be constrained by a lack of suitable donor organs. Advances in donor management and evaluation are needed to address this shortage, but the performance of research studies in deceased donors is fraught with challenges. Here we discuss several of the major obstacles we faced in the conduct of the Donor Heart Study-a prospective, multi-site, observational study of donor management, evaluation, and acceptance for heart transplantation. These included recruitment and engagement of participating organ procurement organizations, ambiguities related to study oversight, obtaining authorization for donor research, logistical challenges encountered during donor management, sustaining study momentum, and challenges related to study data management. By highlighting these obstacles encountered, as well as the solutions implemented, we hope to stimulate further discussion and actions that will facilitate the design and execution of future donor research studies.

Impact of progressive aortic regurgitation on outcomes after left ventricular assist device implantation

Aortic regurgitation (AR) following continuous flow left ventricular assist device implantation (cf-LVAD) may adversely impact outcomes. We aimed to assess the incidence and impact of progressive AR after cf-LVAD on prognosis, biomarkers, functional capacity and echocardiographic findings. In an analysis of the PCHF-VAD database encompassing 12 European heart failure centers, patients were dichotomized according to the progression of AR following LVAD implantation. Patients with de-novo AR or AR progression (AR_1) were compared to patients without worsening AR (AR_0). Among 396 patients (mean age 53 ± 12 years, 82% male), 153 (39%) experienced progression of AR over a median of 1.4 years on LVAD support. Before LVAD implantation, AR_1 patients were less frequently diabetic, had lower body mass indices and higher baseline NT-proBNP values. Progressive AR did not adversely impact mortality (26% in both groups, HR 0.91 [95% CI 0.61-1.36]; P = 0.65). No intergroup variability was observed in NT-proBNP values and 6-minute walk test results at index hospitalization discharge and at 6-month follow-up. However, AR_1 patients were more likely to remain in NYHA class III and had worse right ventricular function at 6-month follow-up. Lack of aortic valve opening was related to de-novo or worsening AR (P < 0.001), irrespective of systolic blood pressure (P = 0.67). Patients commonly experience de-novo or worsening AR when exposed to continuous flow of contemporary LVADs. While reducing effective forward flow, worsening AR did not influence survival. However, less complete functional recovery and worse RV performance among AR_1 patients were observed. Lack of aortic valve opening was associated with progressive AR.

New Conversion Formula Between B-Type Natriuretic Peptide and N-Terminal-Pro-B-Type Natriuretic Peptide - Analysis From a Multicenter Study

BACKGROUND

Although B-type natriuretic peptide (BNP) and N-terminal (NT)-proBNP are commonly used markers of heart failure, a simple conversion formula between these peptides has not yet been developed for clinical use.Methods and Results: A total of 9,394 samples were obtained from Nara Medical University, Jichi Medical University, and Osaka University. We randomly selected 70% for a derivation set to investigate a conversion formula from BNP to NT-proBNP using estimated glomerular filtration rate (eGFR) and body mass index (BMI); the remaining 30% was used as the internal validation set and we used a cohort study from Nara Medical University as an external validation set. Multivariate linear regression analysis revealed a new conversion formula: log NT-proBNP = 1.21 + 1.03 × log BNP - 0.009 × BMI - 0.007 × eGFR (r²=0.900, P<0.0001). The correlation coefficients between the actual and converted values of log NT-proBNP in the internal and external validation sets were 0.942 (P<0.0001) and 0.891 (P<0.0001), respectively. We applied this formula to samples obtained from patients administered with sacubitril/valsartan. After treatment initiation, NT-proBNP levels decreased and actual BNP levels increased. However, the calculated BNP levels decreased roughly parallel to the NT-proBNP levels.

CONCLUSIONS

This new and simple conversion formula of BNP and NT-proBNP with eGFR and BMI is potentially useful in clinical practice.

NT-proBNP/BNP ratio for prognostication in European Caucasian patients enrolled in a heart failure prevention programme

Aims

Guidelines support the role of B‐type natriuretic peptide (BNP) and amino‐terminal pro‐BNP (NT‐proBNP) for risk stratification of patients in programmes to prevent heart failure (HF). Although biologically formed in a 1:1 ratio, the ratio of NT‐proBNP to BNP exhibits wide inter‐individual variability. A report on an Asian population suggests that molar NT‐proBNP/BNP ratio is associated with incident HF. This study aims to determine whether routine, simultaneous evaluation of both BNP and NT‐proBNP is warranted in a European, Caucasian population.

Methods and Results

We determined BNP and NT‐proBNP levels for 782 Stage A/B HF patients in the STOP‐HF programme. The clinical, echocardiographic, and biochemical associates of molar NT‐proBNP/BNP ratio were analysed. The primary endpoint was the adjusted association of baseline molar NT‐proBNP/BNP ratio with new‐onset HF and/or progression of left ventricular dysfunction (LVD). We estimated the C‐statistic, integrated discrimination improvement, and the category‐free net reclassification improvement metric for the addition of molar NT‐proBNP/BNP ratio to adjusted models. The median age was 66.6 years [interquartile range (IQR) 59.5–73.1], 371 (47.4%) were female, and median molar NT‐proBNP/BNP ratio was 1.91 (IQR 1.37–2.93). Estimated glomerular filtration rate, systolic blood pressure, left ventricular mass index, and heart rate were associated with NT‐proBNP/BNP ratio in a linear regression model (all P < 0.05). Over a median follow‐up period of 5 years (IQR 3.4–6.8), 247 (31.5%) patients developed HF or progression of LVD. Log‐transformed NT‐proBNP/BNP ratio is inversely associated with HF and LVD risk when adjusted for age, gender, diabetes, hypertension, vascular disease, obesity, heart rate, number of years of follow‐up, estimated glomerular filtration rate, and baseline NT‐proBNP (odds ratio 0.71, 95% confidence interval 0.55–0.91; P = 0.008). However, molar NT‐proBNP/BNP ratio did not increase the C‐statistic (Δ −0.01) and net reclassification improvement (0.0035) for prediction of HF and LVD compared with NT‐proBNP or BNP alone. Substitution of NT‐proBNP for BNP in the multivariable model eliminated the association with HF and LVD risk.

Conclusions

This study characterized, for the first time in a Caucasian Stage A/B HF population, the relationship between NT‐proBNP/BNP ratio and biological factors and demonstrated an inverse relationship with the future development of HF and LVD. However, this study does not support routine simultaneous BNP and NT‐proBNP measurement in HF prevention programmes amongst European, Caucasian patients.

Cardiopulmonary exercise testing in patients with Cardiac Amyloidosis

BACKGROUND

Cardiac involvement and dysfunction are common in patients presenting with AL and ATTR Amyloidosis. Cardiopulmonary exercise testing (CPET) performance is the gold standard to quantify functional capacity.

PATIENTS AND METHODS

In this study, we evaluated CPET measurements in 41 patients with cardiac Amyloidosis and their correlation with current amyloid specific staging criteria.

RESULTS

In both AL and ATTR cardiac Amyloidosis, percent predicted peak VO2 is significantly reduced and correlates with biomarker abnormalities. The association of cardiac biomarkers with peak VO2 is stronger for AL Amyloidosis (NT-proBNP (r = -0.57, P=0.006), Troponin (r = -0.70, p < 0.001) than ATTR (NT-proBNP (r = -0.4, P = 0.04) and Troponin (r = -0.57, P = 0.002) despite lower left ventricular mass in the former, suggesting that this may be further evidence for light chain toxicity in AL amyloidosis.

CONCLUSION

Our findings suggest further evidence for AL toxicity.

Lessons from Wolfram Syndrome: Initiation of DDAVP Therapy Causes Renal Salt Wasting Due to Elevated ANP/BNP Levels, Rescued by Fludrocortisone Treatment

Initiation of desmopressin acetate (DDAVP) for untreated diabetes insipidus (DI) in Wolfram syndrome (WS) causes abrupt volume expansion resulting in particularly high secretion of Atrial Natriuretic Peptide (ANP) and/or Brain Natriuretic Peptide (BNP), which in turn blocks all stimulators of zona glomerulosa steroidogenesis, resulting in secondary mineralocorticoid deficiency and acute hyponatremia, causing renal salt wasting (RSW). Two sisters, a 19-y-old girl (A) and a 7-y-old girl (B) with WS, presented with severe polyuria-polydipsia due to never treated DI. Both had neurogenic bladder and "B" had severe hydronephrosis secondary to untreated grade III bilateral vesicoureteral reflux. They initiated therapy with oral melt DDAVP which resulted in RSW. ANP was found ×50 and BNP ×2-4 fold elevated. Fludrocortisone 100-200 × 2 μg/d controlled natriuresis and restored electrolytes to normal within 48 h. Fludrocortisone treatment rescues otherwise potentially life-threatening hyponatremia due to RSW and the secondary mineralocorticoid deficiency driven by elevated ANP and/or BNP, caused by sudden volume expansion following DDAVP initiation.

Prognostic value of brain natriuretic peptide vs history of heart failure hospitalization in a large real-world population

Background

In heart failure (HF) patients, both natriuretic peptides (NP) and previous HF hospitalization (pHFH) have been used to predict prognosis.

Hypothesis

In a large real‐world population, both NP levels and pHFH have independent and interdependent predictive value for clinical outcomes of HFH and all‐cause mortality.

Methods

Linked electronic health records and insurance claims data from Decision Resource Group were used to identify HF patients that had a BNP or NT‐proBNP result between January 2012 and December 2016. NT‐proBNP was converted into BNP equivalents by dividing by 4. Index event was defined as most recent NP on or after 1 January 2012. Patients with incomplete records or age < 18 years were excluded. During one‐year follow up, HFH and mortality rates stratified by index BNP levels and pHFH are reported.

Results

Of 64 355 patients (74 ± 12 years old, 49% female) with available values, median BNP was 259 [IQR 101‐642] pg/ml. The risk of both HFH and mortality was higher with increasing BNP levels. At each level of BNP, mortality was only slightly higher in patients with pHFH vs those without pHFH (RR 1.2 [95%CI 1.2,1.3], P < .001); however, at each BNP, HFH was markedly increased in patients with pHFH vs those without pHFH (RR 2.0 [95%CI 1.9,2.1], P < .001).

Conclusion

In this large real‐world heart failure population, higher BNP levels were associated with increased risk for both HFH and mortality. At any given level of BNP, pHFH added greater prognostic value for prediction of future HFH than for mortality.

In heart failure (HF) patients, both natriuretic peptides (NP) and previous HF hospitalization (pHFH) have been used to predict prognosis. However, this association has not been reported over a wide range of NP levels with and without pHFH for clinical outcomes of HFH and all‐cause mortality in a large real‐world population. The current study showed that in a large real‐world heart failure population, higher BNP levels were associated with increased risk for both HFH and mortality. At any given level of BNP, pHFH added greater prognostic value for prediction of future HFH than for mortality.