Updated 2022 ACC/AHA Guideline Improves Concordance Between TTE and CT in Monitoring Marfan Snydrome and Related Disorders, but Relevant Measurement Differences Remain Frequent.

Background: Patients diagnosed with Marfan syndrome or a related syndrome require frequent aorta monitoring using imaging techniques like transthoracic echocardiography (TTE) and computed tomography (CT). Accurate aortic measurement is crucial, as even slight enlargement (>2 mm) often necessitates surgical intervention. The 2022 ACC/AHA guideline for Aortic Disease Diagnosis and Management includes updated imaging recommendations. We aimed to compare these with the 2010 guideline. Methods: This retrospective study involved 137 patients with Marfan syndrome or a related disorder, undergoing TTE and ECG-triggered CT. Aortic diameter measurements were taken based on the old 2010 guideline (TTE: inner edge to inner edge, CT: external diameter) and the new 2022 guideline (TTE: leading edge to leading edge, CT: internal diameter). Bland-Altman plots compared measurement differences. Results: Using the 2022 guideline significantly reduced differences outside the clinical agreement limit from 49% to 26% for the aortic sinus and from 41% to 29% for the ascending aorta. Mean differences were -0.30 mm for the aortic sinus and +1.12 mm for the ascending aorta using the 2022 guideline, compared to -2.66 mm and +1.21 mm using the 2010 guideline. Conclusion: This study demonstrates for the first time that the 2022 ACC/AHA guideline improves concordance between ECG-triggered CT and TTE measurements in Marfan syndrome patients, crucial for preventing life-threatening aortic complications. However, the frequency of differences >2 mm remains high. Clinical Relevance/Application: Accurate aortic diameter measurement is vital for patients at risk of fatal aortic complications. While the 2022 guideline enhances concordance between imaging modalities, frequent differences >2 mm persist, potentially impacting decisions on aortic repair. The risk of repeat radiation exposure from ECG-triggered CT, considered the 'gold standard', continues to be justified.

Discrepancy of echocardiography and computed tomography in initial assessment and 2-year follow-up for monitoring Marfan syndrome and related disorders.

Patients with Marfan syndrome and related disorders are at risk for aortic dissection and aortic rupture and therefore require appropriate monitoring. Computed tomography (CT) and transthoracic echocardiography (TTE) are routinely used for initial diagnosis and follow-up. The purpose of this study is to compare whole-heart CT and TTE aortic measurement for initial work-up, 2-year follow-up, and detection of progressive aortic enlargement. This retrospective study included 95 patients diagnosed with Marfan syndrome or a related disorder. All patients underwent initial work-up including aortic diameter measurement using both electrocardiography-triggered whole-heart CT and TTE. Forty-two of these patients did not undergo aortic repair after initial work-up and were monitored by follow-up imaging within 2 years. Differences between the two methods for measuring aortic diameters were compared using Bland-Altman plots. The acceptable clinical limit of agreement (acLOA) for initial work-up, follow-up, and progression within 2 years was predefined as < ± 2 mm. Bland-Altman analysis revealed a small bias of 0.2 mm with wide limits of agreement (LOA) from + 6.3 to - 5.9 mm for the aortic sinus and a relevant bias of - 1.6 mm with wide LOA from + 5.6 to - 8.9 mm for the ascending aorta. Follow-up imaging yielded a small bias of 0.5 mm with a wide LOA from + 6.7 to - 5.8 mm for the aortic sinus and a relevant bias of 1.1 mm with wide LOA from + 8.1 to - 10.2 mm for the ascending aorta. Progressive aortic enlargement at follow-up was detected in 57% of patients using CT and 40% of patients using TTE. Measurement differences outside the acLOA were most frequently observed for the ascending aorta. Whole-heart CT and TTE measurements show good correlation, but the frequency of measurement differences outside the acLOA is high. TTE systematically overestimates aortic diameters. Therefore, whole-heart CT may be preferred for aortic monitoring of patients with Marfan syndrome and related disorders. TTE remains an indispensable imaging tool that provides additional information not available with CT.

Cardiovalve in mitral valve position-Additional solution for valve replacement.

We report on a 72 years old male patient with recurrent heart failure hospitalizations caused by severe mitral regurgitation due to severe restriction of the posterior mitral leaflet treated with the transfemoral mitral valve replacement (TMVR) system Cardiovalve. Immediate interventional success was obtained resulting in a quick mobilization and discharge.

Safety and usefulness of left ventricular endomyocardial biopsy in new- onset acute heart failure requiring mechanical support by an Impella® device.

BACKGROUND: In patients with de novo acute heart failure (AHF) requiring veno-arterial extracorporeal membrane oxygenation (VA-ECMO), endomyocardial biopsy (EMB) has been recently shown to be feasible and a helpful method to clarify differential diagnoses, including acute myocarditis. This study aimed to evaluate the feasibility and safety of EMB in patients with a left ventricular (LV) implanted Impella® device. METHODS AND RESULTS: This retrospective, single-center study involves 22 cardiogenic shock patients [SCAI shock stage: C (91%)] requiring mechanical circulatory support (MCS) either by Impella® axial pumps [20 patients (91%)] alone or in combination with VA-ECMO [2 patients (9%)] between December 2017 and January 2022. Coronary artery disease (CAD) or severe valvular heart disease were excluded. The study's primary endpoint was to verify the safety of EMB during MCS. Furthermore, histopathological analysis of the EMB samples was described. 30 LV-EMB procedures were performed. No major complications were reported (death, sustained ventricular tachycardia, need for cardiopulmonary resuscitation, cardiac tamponade, stroke, major bleeding). In 14 patients (64%), EMB-derived histology/immunohistology led to the definitive diagnosis of acute myocarditis. CONCLUSIONS: EMB can be safely performed in patients suffering from cardiogenic shock requiring an Impella®-based MCS without the risk of major complications. In about 50% of the patients, relevant inflammatory heart disease could be detected, which required a change in treatment decisions.

Effects of Artificial Intelligence-Derived Body Composition on Kidney Graft and Patient Survival in the Eurotransplant Senior Program.

The Eurotransplant Senior Program allocates kidneys to elderly transplant patients. The aim of this retrospective study is to investigate the use of computed tomography (CT) body composition using artificial intelligence (AI)-based tissue segmentation to predict patient and kidney transplant survival. Body composition at the third lumbar vertebra level was analyzed in 42 kidney transplant recipients. Cox regression analysis of 1-year, 3-year and 5-year patient survival, 1-year, 3-year and 5-year censored kidney transplant survival, and 1-year, 3-year and 5-year uncensored kidney transplant survival was performed. First, the body mass index (BMI), psoas muscle index (PMI), skeletal muscle index (SMI), visceral adipose tissue (VAT), and subcutaneous adipose tissue (SAT) served as independent variates. Second, the cut-off values for sarcopenia and obesity served as independent variates. The 1-year uncensored and censored kidney transplant survival was influenced by reduced PMI (p = 0.02 and p = 0.03, respectively) and reduced SMI (p = 0.01 and p = 0.03, respectively); 3-year uncensored kidney transplant survival was influenced by increased VAT (p = 0.04); and 3-year censored kidney transplant survival was influenced by reduced SMI (p = 0.05). Additionally, sarcopenia influenced 1-year uncensored kidney transplant survival (p = 0.05), whereas obesity influenced 3-year and 5-year uncensored kidney transplant survival. In summary, AI-based body composition analysis may aid in predicting short- and long-term kidney transplant survival.

Lipid Metabolite Biomarkers in Cardiovascular Disease: Discovery and Biomechanism Translation from Human Studies.

Lipids represent a valuable target for metabolomic studies since altered lipid metabolism is known to drive the pathological changes in cardiovascular disease (CVD). Metabolomic technologies give us the ability to measure thousands of metabolites providing us with a metabolic fingerprint of individual patients. Metabolomic studies in humans have supported previous findings into the pathomechanisms of CVD, namely atherosclerosis, apoptosis, inflammation, oxidative stress, and insulin resistance. The most widely studied classes of lipid metabolite biomarkers in CVD are phospholipids, sphingolipids/ceramides, glycolipids, cholesterol esters, fatty acids, and acylcarnitines. Technological advancements have enabled novel strategies to discover individual biomarkers or panels that may aid in the diagnosis and prognosis of CVD, with sphingolipids/ceramides as the most promising class of biomarkers thus far. In this review, application of metabolomic profiling for biomarker discovery to aid in the diagnosis and prognosis of CVD as well as metabolic abnormalities in CVD will be discussed with particular emphasis on lipid metabolites.

Artificial intelligence-based analysis of body composition in Marfan: skeletal muscle density and psoas muscle index predict aortic enlargement.

BACKGROUND: Patients with Marfan syndrome are at risk for aortic enlargement and are routinely monitored by computed tomography (CT) imaging. The purpose of this study is to analyse body composition using artificial intelligence (AI)-based tissue segmentation in patients with Marfan syndrome in order to identify possible predictors of progressive aortic enlargement. METHODS: In this study, the body composition of 25 patients aged ≤50 years with Marfan syndrome and no prior aortic repair was analysed at the third lumbar vertebra (L3) level from a retrospective dataset using an AI-based software tool (Visage Imaging). All patients underwent electrocardiography-triggered CT of the aorta twice within 2 years for suspected progression of aortic disease, suspected dissection, and/or pre-operative evaluation. Progression of aortic enlargement was defined as an increase in diameter at the aortic sinus or the ascending aorta of at least 2 mm. Patients meeting this definition were assigned to the 'progressive aortic enlargement' group (proAE group) and patients with stable diameters to the 'stable aortic enlargement' group (staAE group). Statistical analysis was performed using the Mann-Whitney U test. Two possible body composition predictors of aortic enlargement-skeletal muscle density (SMD) and psoas muscle index (PMI)-were analysed further using multivariant logistic regression analysis. Aortic enlargement was defined as the dependent variant, whereas PMI, SMD, age, sex, body mass index (BMI), beta blocker medication, and time interval between CT scans were defined as independent variants. RESULTS: There were 13 patients in the proAE group and 12 patients in the staAE group. AI-based automated analysis of body composition at L3 revealed a significantly increased SMD measured in Hounsfield units (HUs) in patients with aortic enlargement (proAE group: 50.0 ± 8.6 HU vs. staAE group: 39.0 ± 15.0 HU; P = 0.03). PMI also trended towards higher values in the proAE group (proAE group: 6.8 ± 2.3 vs. staAE group: 5.6 ± 1.3; P = 0.19). Multivariate logistic regression revealed significant prediction of aortic enlargement for SMD (P = 0.05) and PMI (P = 0.04). CONCLUSIONS: Artificial intelligence-based analysis of body composition at L3 in Marfan patients is feasible and easily available from CT angiography. Analysis of body composition at L3 revealed significantly higher SMD in patients with progressive aortic enlargement. PMI and SMD significantly predicted aortic enlargement in these patients. Using body composition as a predictor of progressive aortic enlargement may contribute information for risk stratification regarding follow-up intervals and the need for aortic repair.

Performance of a cardiac lipid panel compared to four prognostic scores in chronic heart failure.

The cardiac lipid panel (CLP) is a novel panel of metabolomic biomarkers that has previously shown to improve the diagnostic and prognostic value for CHF patients. Several prognostic scores have been developed for cardiovascular disease risk, but their use is limited to specific populations and precision is still inadequate. We compared a risk score using the CLP plus NT-proBNP to four commonly used risk scores: The Seattle Heart Failure Model (SHFM), Framingham risk score (FRS), Barcelona bio-HF (BCN Bio-HF) and Meta-Analysis Global Group in Chronic Heart Failure (MAGGIC) score. We included 280 elderly CHF patients from the Cardiac Insufficiency Bisoprolol Study in Elderly trial. Cox Regression and hierarchical cluster analysis was performed. Integrated area under the curves (IAUC) was used as criterium for comparison. The mean (SD) follow-up period was 81 (33) months, and 95 (34%) subjects met the primary endpoint. The IAUC for FRS was 0.53, SHFM 0.61, BCN Bio-HF 0.72, MAGGIC 0.68, and CLP 0.78. Subjects were partitioned into three risk clusters: low, moderate, high with the CLP score showing the best ability to group patients into their respective risk cluster. A risk score composed of a novel panel of metabolite biomarkers plus NT-proBNP outperformed other common prognostic scores in predicting 10-year cardiovascular death in elderly ambulatory CHF patients. This approach could improve the clinical risk assessment of CHF patients.

The diagnostic and prognostic value of galectin-3 in patients at risk for heart failure with preserved ejection fraction: results from the DIAST-CHF study.

AIMS: Galectin-3 (Gal-3) predicts long-term outcome among patients with heart failure (HF) with preserved ejection fraction (HFpEF). The ability of Gal-3 to diagnose and predict incident HFpEF in a cohort at risk for HFpEF is of particular interest. We aimed to determine the association between Gal-3 and clinical manifestations of HFpEF, the relationship between Gal-3 and all-cause mortality, or the composite of cardiovascular hospitalization and death. METHODS AND RESULTS: The observational Diast-CHF study included patients aged 50 to 85 years with ≥1 risk factor for HF (e.g. hypertension, diabetes mellitus, and atherosclerotic disease) or previously suspected HF. Patients were followed for 10 years. The association between Gal-3, evidence of diastolic dysfunction, and Framingham criteria for HF was examined. All deaths and hospitalizations were adjudicated as cardiovascular or non-cardiovascular. The analysis population was composed of 1386 subjects (67 years old, 50.9% female). The area under the receiver operating characteristic curve to diagnose HFpEF was 0.71. At a cut-off value of 13.57 ng/mL, sensitivity was 0.61 and specificity was 0.73 for Gal-3, and the diagnostic power to detect HFpEF was superior to N-terminal pro-brain natriuretic peptide (area under the receiver operating characteristic curve 0.59, P > 0.001). Baseline Gal-3 was associated with risk factors for HF (P < 0.001). Higher levels of Gal-3 predicted incident HFpEF (P < 0.05), adjusted all-cause mortality (P < 0.001), and the adjusted composite of cardiovascular hospitalization and death (P < 0.001), both independent from N-terminal pro-brain natriuretic peptide. CONCLUSIONS: Gal-3 differentiated patients with HFpEF from an overall cohort of well-characterized patients with risk factors for HFpEF. Independent of other factors, baseline Gal-3 levels were associated with a higher risk for incident HFpEF, mortality, or the composite of cardiovascular hospitalization and death over 10 year follow-up. In conjunction with clinical parameters, Gal-3 adds a statistically significant value for the diagnosis of HFpEF within this study, yet the clinical relevance remains debatable.

Left atrial function and maximal exercise capacity in heart failure with preserved and mid-range ejection fraction.

AIMS: Exercise intolerance is the leading manifestation of heart failure with preserved or mid-range ejection fraction (HFpEF or HFmrEF), and left atrial (LA) function might contribute to modulating left ventricular filling and pulmonary venous pressures. We aim to assess the association between LA function and maximal exercise capacity in patients with HFpEF or HFmrEF. METHODS AND RESULTS: Sixty-five patients, prospectively enrolled in the German HFpEF Registry, were analysed. Inclusion criteria were New York Heart Association functional class ≥ II, left ventricular ejection fraction > 40%, structural heart disease or diastolic dysfunction, and elevated levels of N terminal pro brain natriuretic peptide (NT-proBNP). LA function was evaluated through speckle-tracking echocardiography by central reading in the Charité Academic Echocardiography core lab. All patients underwent maximal cardiopulmonary exercise test and were classified according to a peak VO2 cut-off of prognostic value (14 mL/kg/min). NT-pro-BNP was measured. Twenty-nine patients (45%) reached a peak VO2  < 14 mL/kg/min (mean value 12.4 ± 1.5) and 36 patients (55%) peak VO2  ≥ 14 mL/kg/min (mean value 19.4 ± 3.9). There was no significant difference in left ventricular ejection fraction (60 ± 9 vs. 59 ± 8%), left ventricular mass (109 ± 23 vs. 112 ± 32 g/m2 ), LA volume index (45 ± 17 vs. 47 ± 22 mL/m2 ), or E/e´ (13.1 ± 4.7 vs. 13.0 ± 6.0) between these groups. In contrast, all LA strain measures were impaired in patients with lower peak VO2 (reservoir strain 14 ± 5 vs. 21 ± 9%, P = 0.002; conduit strain 9 ± 2 vs. 13 ± 4%, P = 0.001; contractile strain 7 ± 4 vs. 11 ± 6%, P = 0.02; reported lower limits of normality for LA reservoir, conduit and contractile strains: 26.1%, 12.0%, and 7.7%). In linear regression analysis, lower values of LA reservoir strain were associated with impaired peak VO2 after adjustment for age, sex, body mass index, heart rhythm (sinus/AFib), and log-NTproBNP [ß 0.29, 95% confidence interval (CI) 0.02-0.30, P = 0.02], with an odds ratio 1.22 (95% CI 1.05-1.42, P = 0.01) for peak VO2  < 14 mL/kg/min for LA reservoir strain decrease after adjustment for these five covariates. Adding left ventricular ejection fraction, it did not influence the results. On the other hand, the addition of LA strain to the adjustment parameters alone described above provided a significant increase of the predictive value for lower peak VO2 values (R2 0.50 vs. 0.45, P = 0.02). With receiver operating characteristic curve analysis, we identified LA reservoir strain < 22% to have 93% sensitivity and 49% specificity in predicting peak VO2  < 14 mL/kg/min. Using this cut-off, LA reservoir strain < 22% was associated with peak VO2  < 14 mL/kg/min in logistic regression analysis after comprehensive adjustment for age, sex, body mass index, heart rhythm, and log-NTproBNP [odds ratio 95% CI 10.4 (1.4-74), P = 0.02]. CONCLUSIONS: In this HFpEF and HFmrEF cohort, a reduction in LA reservoir strain was a sensible marker of decreased peak exercise capacity. Therefore, LA reservoir strain might be of clinical value in predicting exercise capacity in patients with HFpEF or HFmrEF.

[Pharmaceutical Treatment Options in Heart Failure with Preserved Ejection Fraction]. / Medikamentöse Therapie bei Herzinsuffizienz mit erhaltener Pumpfunktion.

Heart Failure causes an enormous individual and societal burden of disease with severe symptoms, a reduction in activities of daily life, frequent hospitalizations and poor prognosis. The field of heart failure with reduced ejection fraction has seen substantial innovation in the past years. Novel and successful treatment regimens were established, the pharmaceutical treatment options for heart failure with preserved ejection fraction remains limited to date. Yet, promising concepts are emerging. Today we have only symptoms and risk factors-based therapeutic options, and include basically diuretics, RAAsi, and antidiabetics, respectively. A causal therapy is still missing.

Incremental prognostic value of a novel metabolite-based biomarker score in congestive heart failure patients.

AIMS: The Cardiac Lipid Panel (CLP) is a newly discovered panel of metabolite-based biomarkers that has shown to improve the diagnostic value of N terminal pro B type natriuretic peptide (NT-proBNP). However, little is known about its usefulness in predicting outcomes. In this study, we developed a risk score for 4-year cardiovascular death in elderly chronic heart failure (CHF) patients using the CLP. METHODS AND RESULTS: From the Cardiac Insufficiency Bisoprolol Study in Elderly trial, we included 280 patients with CHF aged >65 years. A targeted metabolomic analysis of the CLP biomarkers was performed on baseline serum samples. Cox regression was used to determine the association of the biomarkers with the outcome after accounting for established risk factors. A risk score ranging from 0 to 4 was calculated by counting the number of biomarkers above the cut-offs, using Youden index. During the mean (standard deviation) follow-up period of 50 (8) months, 35 (18%) subjects met the primary endpoint of cardiovascular death. The area under the receiver operating curve for the model based on clinical variables was 0.84, the second model with NT-proBNP was 0.86, and the final model with the CLP was 0.90. The categorical net reclassification index was 0.25 using three risk categories: 0-60% (low), 60-85% (intermediate), and >85% (high). The continuous net reclassification index was 0.772, and the integrated discrimination index was 0.104. CONCLUSIONS: In patients with CHF, incorporating a panel of three metabolite-based biomarkers into a risk score improved the prognostic utility of NT-proBNP by predicting long-term cardiovascular death more precisely. This novel approach holds promise to improve clinical risk assessment in CHF patients.

Predictive value of metabolomic biomarkers for cardiovascular disease risk: a systematic review and meta-analysis.

Background: Metabolomic analysis aids in the identification of novel biomarkers by revealing the metabolic dysregulations underlying cardiovascular disease (CVD) aetiology. The aim of this study was to evaluate which metabolic biomarkers could add value for the prognosis of CVD events using meta-analysis.Methods: The PRISMA guideline was followed for the systematic review. For the meta-analysis, biomarkers were included if they were tested in multivariate prediction models for fatal CVD outcomes. We grouped the metabolites in biological classes for subgroup analysis. We evaluated the prediction performance of models which reported discrimination and/or reclassification statistics.Results: For the systematic review, there were 22 studies which met the inclusion/exclusion criteria. For the meta-analysis, there were 41 metabolites grouped into 8 classes from 19 studies (45,420 subjects, 5954 events). A total of 39 of the 41 metabolites were significant with a combined effect size of 1.14 (1.07-1.20). For the predictive performance assessment, there were 21 studies, 54,337 subjects, 6415 events. The average change in c-statistic after adding the biomarkers to a clinical model was 0.0417 (SE 0.008).Conclusions: This study provides evidence that metabolomic biomarkers, mainly lipid species, have the potential to provide additional prognostic value. Current data are promising, although approaches and results are heterogeneous.

Early NT-proBNP and MR-proANP associated with QoL 1 year after acutely decompensated heart failure: secondary analysis from the MOLITOR trial.

Aim: Heart failure negatively impacts quality of life (QoL), which in turn contributes to an adverse long-term prognosis. We aimed at identifying biomarker trajectories after an episode of acutely decompensated heart failure (ADHF) that differ between patients showing average versus impaired QoL 1 year later, thus allowing to predict impaired QoL. Methods: Biomarkers were repeatedly measured throughout the year in 104 ADHF patients. QoL was assessed at discharge and 1 year after ADHF. Logistic regression and receiver operating characteristic analyses were used to identify predictors of impaired QoL while controlling psychosocial confounders. Results: MR-proANP predicted impaired physical and mental QoL. NT-proBNP measurements were important predictors for poor physical QoL. Conclusion: MR-proANP and NT-proBNP predict poor QoL after an epidode of ADHF. The trial is registered at http://clinicaltrials.gov as MOLITOR (IMpact of therapy optimisation On the Level of biomarkers in paTients with Acute and Decompensated ChrOnic HeaRt Failure) with unique identifier: NCT01501981.

Investigating a biomarker-driven approach to target collagen turnover in diabetic heart failure with preserved ejection fraction patients. Effect of torasemide versus furosemide on serum C-terminal propeptide of procollagen type I (DROP-PIP trial).

AIM: Heart failure with preserved ejection fraction (HFpEF) is associated with myocardial remodelling including severe pro-fibrotic changes contributing to an increase in left ventricular stiffness and diastolic dysfunction. Serum C-terminal propeptide of procollagen type I (PIP) strongly correlates with the turnover of extracellular cardiac matrix proteins and fibrosis. Torasemide, but not furosemide, was described to reduce collagen type I synthesis in clinically unstable patients with heart failure with reduced ejection fraction. We evaluated whether its effect translated to HFpEF patients with type 2 diabetes mellitus (T2DM) and abnormal basal PIP levels. METHODS AND RESULTS: We performed a relatively small, single-centre, randomised, double-blind, two-arm parallel-group, active controlled clinical trial in 35 HFpEF patients with T2DM to determine the effects of a 9-month treatment with torasemide vs. furosemide on changes of serum PIP levels. Patients with increased PIP levels (≥110 ng/mL), or evidence of structural changes with a left atrial volume index (LAVI) >29 mL/m2 and abnormal PIP levels (≥70 ng/mL), were eligible to participate. Fifteen patients were female (42%), mean age was 69 years, body mass index was 34.7 kg/m2 , 83% were in New York Heart Association class II/III. Echocardiographic characteristics showed a mean left ventricular ejection fraction of >60%, a left ventricular mass index >120 g/m2 , an E/e' ratio of 14, and a LAVI of 40 mL/m2 with a NT-proBNP of 174 ng/L and a 6-minute walk distance of 421 m. Mean per cent change in PIP was 2.63 ± 5.68% (±SEM) in torasemide vs. 2.74 ± 6.49% in furosemide (P = 0.9898) treated patients. Torasemide was not superior to furosemide in improving functional capacity, diastolic function, quality of life, or neuroendocrine activation. CONCLUSION: In this hypothesis-generating, mechanistic trial in stable HFpEF patients with T2DM, neither long-term administration of torasemide nor furosemide was associated with a significant effect on myocardial fibrosis, as assessed by serum PIP. Further studies are urgently needed in this field. More specific diuretic and anti-fibrotic treatment strategies in T2DM and/or HFpEF are warranted.

Heart failure awareness survey in Germany: general knowledge on heart failure remains poor.

AIMS: Previous studies demonstrated poor public awareness of heart failure (HF) compared with myocardial infarction and stroke. With respect to several activities to improve HF awareness in recent years, we present data on the development of HF awareness and information sources in Germany over 8 years. METHODS AND RESULTS: In 2007, 2012, and 2015, respectively, 2531, 359, and 171 respondents answered questions about causes, presentation, prognosis, and treatment of HF from a survey developed by the German Competence Network HF. Relationships between respondents' sociodemographic data and their HF knowledge were explored and changes in knowledge and use of information sources analysed. Sixty-eight per cent of respondents knew HF as 'weakness of the heart'. Seventy-nine per cent knew shortness of breath, 74% reduced exercise tolerance, and 52% knew leg edema as symptoms. Only 40% knew all three symptoms. Although up to 34% of the respondents were directly or indirectly affected by HF, they demonstrated poor knowledge about severity and prognosis. Between 2007 and 2015, overall HF awareness has not changed; awareness about treatment has dropped significantly. Younger respondents used all media, especially internet, for information about health; older respondents preferred printed/verbal media and their physician. CONCLUSIONS: We found rather insufficient public knowledge on HF etiology and symptoms but especially about management, severity, and prognosis, which is essential for good self-care and adherence of patients. Heart failure awareness has not improved even though awareness campaigns were held over the years. It seems that especially older patients should be much more approached by their family physicians.

Arterial stiffness and elevated left ventricular filling pressure in patients at risk for the development or a previous diagnosis of HF-A subgroup analysis from the DIAST-CHF study.

Left ventricular filling pressure (LVFP) is a marker for diastolic dysfunction and heart failure (HF) with preserved ejection fraction (pEF). The interaction between arterial stiffness (AS) and elevated LVFP has not been sufficiently investigated. In 257 patients with preserved left ventricular ejection fraction (mean age: 66 years, 53% female, mean left ventricular ejection fraction: 61%) and at least one cardiovascular risk factor (eg, hypertension and diabetes) for the development of HF or a previous diagnosis of HF, LVFP was estimated in accordance with the recommendations of the American Society of Echocardiography (elevated when E/e' ≥ 13, left atrial volume index ≥ 34 mL/m2). LVFP was correlated with radial pulse wave analysis (augmentation index normalized by 75 b/min [AIx@75]) and carotid-femoral pulse wave velocity (cfPWV). Thirty-eight percent of patients demonstrated an elevated LVFP. These patients were significantly older (68.3 ± 7.4 vs. 63.5 ± 7.6 years, P < .001), demonstrated a higher body mass index (29.8 ± 4.6 vs. 28.0 ± 5.0; P < .01), presented more often with hypertension (89.7% vs. 73.1%, P < .01), hypercholesterolemia (32.0% vs. 21.3%, P < .05), dyspnea on exertion (28.4% vs. 16.6%, P < .05), and peripheral edema (25.3% vs. 10.2%, P < .01). cfPWV and AIx@75 and were significantly elevated in patients with elevated LVFP (12.2 ± 2.7 m/s vs. 10.5 ± 2.6 m/s, P < .001, an 29.2 ± 6.7% vs. 27.4 ± 6.7%, P < .05 respectively). cfPWV and AIx@75 were correlated with echocardiographic parameters, that is, posterior wall thickness (r = 0.292, P < .001; r = 0.167, P < .01), left ventricular mass index (r = 0.255, P < .001; r = -0.192, P < .01), e' (r = -0.508, P < .001; r = -0.159, P < .05), and E/e' (r = 0.380, P < .001; r = 0.200, P < .01). cfPWV correlated with left atrial volume index (r = 0.189, P < .05) and increasing E/A ratio (r = -0.334, P < .001). Multivariate linear regression analysis demonstrated age and PWV as most important and independent predictors of LVFP elevation in the cohort. Increased AS measured by cfPWV was associated with an elevated LVFP in patients with preserved systolic function. Whether targeting AS as a major component of diastolic dysfunction and HF with preserved ejection fraction needs to be further investigated.

Ghrelin and hormonal markers under exercise training in patients with heart failure with preserved ejection fraction: results from the Ex-DHF pilot study.

BACKGROUND: Over 50% of patients with symptomatic heart failure (HF) experience HF with preserved ejection fraction (HFpEF). Exercise training (ET) is effective in improving cardiorespiratory fitness and dimensions of quality of life in patients with HFpEF. A systemic pro-inflammatory state induced by comorbidities as the cause of myocardial structural and functional alterations has been proposed in HFpEF. ET modifies myocardial structure and has been related to inflammatory state. We investigated Ghrelin, related adipokines, markers of inflammation, and neuro-hormonal activation in patients undergoing a structured ET vs. usual care are with HFpEF. METHODS AND RESULTS: Ex-DHF-P was a prospective, controlled, randomized multi-centre trial on structured and supervised ET in patients with HFpEF. We performed a post hoc analysis in 62 patients from Ex-DHF-P. Ghrelin, adiponectin, leptin, IL-1ß, IL-6, IL-10, tumour necrosis factor-alpha, MR-proANP, MR-proADM, CT-proET1, and CT-proAVP were assessed to seize the impact of ET on these markers in patients with HFpEF. Thirty-six (58%) patients were female, mean age was 64 years, and median ghrelin was 928 pg/mL (interquartile range 755-1156). When stratified for high versus low ghrelin, groups significantly differed at baseline in presence obesity, waist circumference, and adiponectin levels (P < 0.05, respectively). Overall, ghrelin levels rose significantly to 1013 pg/mL (interquartile range 813-1182) (P < 0.001). Analysis of covariance modelling for change in ghrelin identified ET (P = 0.013) and higher baseline adiponectin levels (P = 0.035) as influencing factors. CONCLUSIONS: Exercise training tended to increase ghrelin levels in Ex-DHF-P. This increase was especially pronounced in patients with higher baseline adiponectin levels. Future trials are needed to investigate the effect of ET on endogenous ghrelin levels in regard to interactions with cardiac structure and clinically meaningful surrogate parameters.