Elevated Brain Natriuretic Peptide Research Articles

Residual congestion in acute decompensated heart failure: A novel approach through microvascular imaging of renal circulation

Abstract Background In patients admitted for acute decompensated heart failure (ADHF), residual congestion at discharge is associated with adverse clinical outcomes. Traditionally, the extent of congestion has been inferred from central venous pressure, but it has also been highlighted that this is insufficient for a comprehensive evaluation of residual congestion. On the other hand, renal congestion is an important finding of organ congestion, and Superb Microvascular Imaging (SMI), a technique that reveals minute flow details, is promising for assessing renal circulation. We hypothesized that in patients with ADHF, assessment of renal circulation using SMI may be superior to conventional methods in assessing residual congestion. Methods In this prospective study, we enrolled 45 consecutive patients admitted with ADHF. We performed comprehensive evaluations including blood tests, echocardiography, and renal ultrasonography using SMI. The vascular index (VI), as measured by SMI, was calculated as the percentage of blood flow signal area in the region of interest. Subsequently, we calculated the intra-renal perfusion index (IRPI), representing cyclic variation in VI, as (maximum VI - minimum VI) within one cardiac cycle, divided by the maximum VI (Figure). Brain Natriuretic Peptide (BNP) levels were utilized to evaluate the state of decongestion. Results At discharge, the mean IRPI was 0.61±0.04, while the median BNP levels were 204.9 pg/ml (interquartile range: 102.7, 428.2). Patients exhibiting elevated log BNP levels at discharge (>2.31, based on median value) displayed significantly higher IRPI values [0.61(0.49, 0.86) vs 0.53(0.35, 0.59), p=0.02] and were older (80.8±8.5 vs 70.3±14.9 years, p=0.010). However, no significant differences were observed regarding laboratory parameters including hematocrit and creatinine levels, as well as echocardiographic parameters such as ejection fraction, E/e' ratio, and estimated right atrial pressure (RAP). Moreover, at discharge, creatinine levels (p=0.56) and estimated RAP (p=0.06) exhibited no significant correlation with IRPI. Conclusion Renal circulation evaluated by SMI may serve as a useful indicator of the extent of residual congestion at discharge compared to blood tests and echocardiographic estimates of right atrial pressure in patients admitted for ADHF.

Prognostic role of right ventricular-pulmonary artery coupling assessed by TAPSE/PASP ratio in patients with heart failure and mildly reduced ejection fraction

Abstract Background The development of right ventricular (RV)-pulmonary arterial (PA) coupling has resulted in a novel and comprehensive index for evaluating RV function in relation to the underlying RV afterload. In patients with heart failure (HF), it is acknowledged that RV-PA uncoupling are features that are associated with poor outcome. The RV-PA coupling index can be readily assessed non-invasively using the ratio of two standard echocardiographic measurements: tricuspid annular plane systolic excursion (TAPSE) and pulmonary artery systolic pressure (PASP). However, few studies have defined the prognostic impact of the TAPSE/PASP ratio in patients with HF and mildly reduced EF (HFmrEF). Methods From the prospective cohort study of 1,410 hospitalized HF patients (age 68+/-15, men 62%) between August 2015 and September 2019, this study enrolled 191 HFmrEF (i.e., left ventricular ejection fraction (LVEF) 41–49%) patients whose TAPSE and PASP were measured during hospitalization and discharged alive. We studied the prognostic impact of TAPSE/PASP ratio on HFmrEF patients using by cut-off value obtained from receiver operating characteristic (ROC) analysis. The primary and secondary endpoints was defined as the all-cause death and HF re-hospitalization after discharge, respectively. Results During median follow-up of 38 [23–52] months, 48 patients (25%) died. The deceased patients had a significantly older (median 75 vs. 71 years, p<0.05), higher rate of ischemic heart disease (50% vs. 23%, p<0.05), elevated brain natriuretic peptide levels (325 vs. 159 pg/ml, p<0.05) and lower rate of angiotensin-converting enzyme inhibitors or angiotensin receptor blockers (65% vs. 80%, p<0.05) at discharge. In the ROC analysis, the cut-off value of TAPSE/PASP ratio for mortality was 0.46. Patients with TAPSE/PASP ≤0.46 had a significantly higher all-cause mortality (log-rank p<0.05) and had a tendency of higher rate of HF re-hospitalization than patients with TAPSE/PASP >0.46 (log-rank p=0.06) (Figure). Using multivariate analysis, the lower TAPSE/PASP ratio had an independent predictive value of prognosis in patients with HFmrEF (hazard ratio 2.16, 95% confidence interval; 1.08–3.92, p<0.05) (Table). Conclusion The TAPSE/PASP ratio has a significant prognostic value in patients with HFmrEF. The RV-PA uncoupling assessed by TAPSE/PASP ratio might be useful for risk assessment in patients with HFmrEF.

Pediatric cirrhotic cardiomyopathy: literature review and effect size estimations of selected parameters

Liver cirrhosis is a significant global health concern, and cirrhotic cardiomyopathy (CCM) is a notable complication affecting both adults and children. While CCM is well-studied in adults, understanding its manifestation and diagnostic criteria in pediatric patients remains a challenge. This review explores the evidence for structural and functional cardiac alterations in children with liver cirrhosis. Structural abnormalities, including increased left ventricular mass index (LVMI) and altered left ventricular wall thickness ratios, are prevalent in pediatric CCM. These abnormalities persist even after liver transplantation, highlighting the systemic impact of liver disease. Evidence suggests that altered systolic and diastolic function, as well as electrocardiographic abnormalities such as prolonged QT intervals, are common in pediatric CCM. Blood biomarkers, including brain natriuretic peptide (BNP) and troponin levels, offer insights into cardiac function in pediatric cirrhotic patients. Elevated BNP levels correlate with adverse outcomes, indicating its potential as a prognostic marker. However, further research is needed to elucidate the diagnostic utility of these biomarkers in pediatric CCM. Conclusion: This review provides estimates of the standardized mean difference among selected cardiac parameters in children with and without cirrhosis. Tailored diagnostic criteria and comprehensive assessment methods will be essential for accurate diagnosis and effective management of pediatric CCM. What is Known:• CCM adds to the burden of care of patients with cirrhosis.• Diagnostic criteria for adults are evolving, but there are no specific criteria for pediatric CCM.What is New:• Cardiac function in children with cirrhosis indicates some parameters not considered in adults are altered.• Effect size estimations for certain parameters provide a guideline for future research into pediatric CCM.

Abstract Tu060: Unveiling Arrhythmogenic Right Ventricular Dysplasia In Pregnancy

Introduction: Arrhythmogenic right ventricular dysplasia (ARVD) is a rare autosomal dominant disease, caused by desmosomal gene mutations, and characterized by fibrofatty replacement of right ventricular (RV) myocardium with left ventricular (LV) involvement in advanced stages. It is mostly diagnosed between the second and forth decades of life and can present with ventricular tachycardia and arrhythmic sudden death. Here we present a case of ARVD diagnosis in a female in her forth pregnancy. Case description: A 28-year-old female, on her 27 th week of gestation (G4P3) was admitted to the hospital with preterm premature rupture of membranes. She also endorsed intermittent chest pressure, palpitations and shortness of breath. Her vital signs were stable, and electrocardiogram (ECG) revealed normal sinus rhythm with frequent premature ventricular contractions (PVCs) and T wave inversions in leads V1- V3. Laboratory studies showed normal troponin and D-dimer levels, and slightly elevated brain natriuretic peptide 240 pg/mL. Patient notably had frequent runs of monomorphic non-sustained ventricular tachycardia (NSVT) arising from RV apical territory, with left bundle branch morphology on telemetry. An echocardiogram revealed a dilated right atrium and RV with hypokinesis of RV; LV size and function were normal. Overall, patient met the revised task force diagnostic criteria for ARVD based on PVC morphology, abnormal ECG and dilated and hypokinetic RV. She had no sustained or hemodynamically unstable VT, no history of syncope or family history of sudden cardiac death and did not meet class I indication for implantable cardioverter defibrillator. She was started on oral metoprolol succinate 25 mg daily with which her arrhythmias significantly improved. She was recommended a cardiac magnetic resonance imaging and genetic testing for confirmation and to assess familial implications. Conclusion: Recognition of ARVD during pregnancy is challenging given the overlapping symptoms of normal pregnancy-related changes. Hormonal surge and sympathetic drive may have driven the increased frequency of NSVT in our patient and beta blocker was effective in managing these. Early recognition and tailored management are crucial to ensure the well-being of both the mother and the fetus. A close follow-up is necessary to understand the long-term implications for the patient and potential genetic predisposition in the family.

Differences in Iron Kinetics during Cardiac Load between Patients with Atrial Fibrillation and Those with Sinus Rhythm.

The prevalence of atrial fibrillation (AF) increases with age. Although most AF cases are caused by irregular electrical impulses near the pulmonary vein, not all elderly individuals develop AF. Moreover, risk factors such as hypertension and diabetes do not always lead to AF, even in severe conditions such as pneumonia. We aimed to examine iron kinetics, including ferritin, in patients with AF and individuals in normal sinus rhythm (NSR) using peripheral blood samples. This case-control study included 178 patients who visited the outpatient clinic of a cardiovascular and arrhythmia specialist at the National Center for Geriatrics and Gerontology between August and October 2023. Patients with missing iron-related blood tests and those with pacemaker implantation were excluded. Iron parameters (ferritin, free iron, transferrin saturation) were compared between AF (n = 53) and NSR (n = 125) groups. The AF group had higher log brain natriuretic peptide (BNP) levels, indicating increased cardiac load (AF 2.18 vs. NSR 1.53). However, there were no significant differences in iron parameters between the AF and NSR groups. After matching for age, sex, and coronary artery disease, the AF group showed an increasing trend in ferritin and a decreasing trend in free iron with BNP elevation, suggesting chronic inflammation. In contrast, the NSR group showed no significant changes in iron parameters with BNP elevation. Patients with AF are more likely to have elevated ferritin levels and decreased free iron levels during cardiac overload. Thus, they are more likely to present with chronic inflammation associated with cardiac overload in AF. Future studies should investigate the mechanisms underlying this phenomenon and its implications for AF treatment.

Assessment of Brain Natriuretic Peptide (BNP) and Lactate Dehydrogenase (LDH) levels in type 2 Diabetic Patients with Cardiovascular Disease

The metabolic condition type 2 diabetes mellitus (T2DM) causes organ malfunction and damage due to insulin secretion or resistance abnormalities. The clinical assessment of monitoring short-term blood glucose variability could benefit from the addition of a less interference-prone biomarker for nutritional status and blood cell health. In type 2 diabetic individuals with cardiovascular disease (CVD), this study looks at the significance of serum B-type natriuretic peptide (BNP) and lactate dehydrogenase (LDH) and how it relates to other variables. This study included 100 T2DM patients with cardiovascular disease (57 males and 43 females) with 70 healthy controls (39 males and 31 females ) aged 45 to >74 years with a diabetes duration of 12 to 26 years. the present study shows that in T2DM patients with CVD, there was an increase in Brain Naturiertic Peptide and a high increase in LDH levels. The statistical significance of these differences is very significant (P>0.001). Comparing the patient group to the control group, there is a highly significant increase in BNP and LDH. BNP and LDH were greater in people with type 2 diabetes who also had cardiovascular disease (CVD) and elevated LDH level was associated with elevated BNP. BNP and LDH are useful biomarkers that support diagnosis, and risk assessment, as well as the diagnosis and management of cardiovascular disease in diabetic individuals by facilitating the assessment of heart function and risk factors for cardiovascular disease.

Pulmonary Hypertension in Interstitial Lung Disease: A Systematic Review and Meta-Analysis

Pulmonary hypertension (PH) is a key complication in interstitial lung disease (ILD), with recent therapeutic advances. What are the diagnostic evaluation, epidemiologic features, associated factors, prognostic significance, and outcome measures in interventional trials for PH in patients with ILD in the current literature? The Ovid MEDLINE, Embase, and CENTRAL databases were searched for original research evaluating PH in participants with ILD of any cause. The definition of PH was based on the investigators' criteria. Three hundred two studies were included, with varying diagnostic evaluations used to define PH. Commonly used diagnostic tests were right heart catheterization (56%) and transthoracic echocardiography (50%). The pooled prevalence for PH in general populations with ILD was 36%(95%CI, 30%-42%) using right heart catheterization and 34%(95%CI, 29%-38%) using transthoracic echocardiography. Lower diffusion capacity of the lungs for carbon monoxide, worse oxygenation status, reduced exercise capacity, increased pulmonary artery to aorta ratio and pulmonary artery diameter, and elevated serum brain natriuretic peptide consistently were associated with the presence of PH in at least 60%of reported studies. The presence of PH was associated with increased symptom burden and worse prognosis. Outcome measures in interventional trials of PH in ILD focused on changes in pulmonary vascular hemodynamics and 6-min walk distance. PH is a common complication in ILD with significant health impacts. A standardized definition with prospective evaluation of risk-stratified assessments for PH using identified associated risk factors is warranted. Our findings provide an evidence base for validation as surrogate end points in future PH interventional trials in ILD. International Prospective Register of Systematic Reviews; No.: CRD42021255394; URL: https://www.crd.york.ac.uk/prospero/.

Exploring Acute Kidney Injury Following Aortic Dissection: A Comprehensive Review of Machine Learning Models for Predicting Risk, Management Strategies, Complications, and Racial and Gender Disparities.

Both types of aortic dissection (AD), Stanford type A and type B, can result in complications such as acute kidney injury (AKI) and aortic rupture. Renal complications in AD arise from compromised renal perfusion affecting the renal arteries. Understanding the intricate connection between AD and AKI is crucial for navigating the complexities of tailored treatment and formulating specific management plans. Concerning machine learning models, in patients with type A aortic dissection, factors such as decreased platelet count on admission, increased D-dimer level, longer cardiopulmonary bypass duration, elevated white blood cell levels, the need for blood transfusion, longer aortic clamp time, extended surgery duration, advanced age, and an elevated body mass index were positively associated with the development of AKI. For the risk of AKI after type B aortic dissection, elevated Nt-pro brain natriuretic peptide, prolonged activated partial thromboplastin time, elevated admission systolic blood pressure, and a higher contrast agent requirement during operative repair were found to predict the risk. Male gender was associated with a higher risk of AKI, and nonwhite race was linked to a higher risk of AKI, a greater likelihood of requiring more urgent procedures, and lower levels of insurance coverage. The treatment of AKI following AD requires a multifaceted approach. Identifying and addressing the underlying cause, such as low blood pressure, renal artery involvement, or medication-induced injury, is crucial for effective management and preventing further kidney damage. Maintaining proper fluid balance is essential for improving renal perfusion, but careful monitoring is necessary to avoid complications. The evolving landscape of research, particularly in biomarkers and AI programs, reveals a promising role in predicting the risk for and managing AKI post-AD.

ASSOCIATION OF SEVERE SLEEP APNOEA IN PRIMARY ALDOSTERONISM

Objective: It is well known that sleep apnoea and primary aldosteronism are related. However, it is unclear whether aldosterone excess contributes to the severity of sleep apnoea. We investigated factors correlated with sleep apnoea in patients with primary aldosteronism: the endocrine system, including aldosterone, cardiac function, renal function, and blood pressure. Design and method: We performed a 3% oxygen saturation index with a pulse oximeter in 50 patients (54% male, 49 ± 7.3 years) diagnosed with primary aldosteronism scheduled for adrenal vein sampling in 2017-2020. 3% oxygen saturation index results were classified as mild (less than 5), moderate (5-15), or severe(15 and above) sleep apnoea. In addition, we compared aldosterone (radioimmunoassay), renin activity, aldosterone/renin activity, brain natriuretic peptide, estimated glomerular filtration rate and blood pressure at the initial visit in the severe group and other groups. Results: The severe group did not have higher aldosterone than the mild (192.7 ± 114.7 vs 238.9 ± 128.8 pg/mL, P=0.640) and moderate (192.7 ± 114.7 vs 187.5 ± 85.5 pg/mL, P=0.995) groups, and the same results were obtained for renin activity and aldosterone/renin activity. In other parameters, estimated glomerular filtration rate was not significantly different between groups, but systolic blood pressure at the initial visit in the severe group was significantly higher than in the mild (175.3±25.7 vs 144.8±18.7 mmHg, P=0.003) and moderate (175.3±25.7 vs 143.0±18.5 mmHg, P=0.003) groups. Similarly, brain natriuretic peptide in the severe group was significantly higher than in the mild (53.5±90.0 vs 12.7±8.3 pg/mL, P=0.020) and moderate (53.5±90.0 vs 10.7±11.2, P=0.014) groups. Conclusions: Our results showed that aldosterone excess did not contribute to the severity of sleep apnoea. However, severe sleep apnoea was significantly associated with elevated systolic blood pressure and brain natriuretic peptide.

Heart failure with preserved ejection fraction: A short review of diagnosis and management

Around 64 million persons in the world have heart failure (HF). HF patients with left ventricle ejection fraction (LVEF) of ≥50% are classified as having HF with preserved ejection fraction (HFpEF). It is estimated that about fifty percent of all HF is HFpEF. Our aim was to provide evidence of contemporary data regarding diagnosis and management of HFpEF. We conducted literature search through online search such as Google Scholar and PubMed Central (PMC), focusing on diagnosis and management of HFpEF. Several criteria exist for the diagnosis of HFpEF, including EF 50%, evidence of diastolic dysfunction, elevated brain natriuretic peptide. High (≥15) or intermediate (9–14) E/eʹ index indicates the likelihood of HFpEF. SGLT2I decrease E/eʹ, indicating improvement of LV diastolic function as mentioned in several studies. Treatment duration to achieve this effect spans from 3 months to 1 year. SGLT2I have positive effect on echocardiographic parameter HFpEF patients. In the researches included in the review, E/eʹ was mainly used as primary end point.

Risk factors and predictive model for mortality in patients undergoing allogeneic hematopoietic stem cell transplantation admitted to the intensive care unit.

Hematological malignant tumors represent a group of major diseases carrying a substantial risk to the lives of affected patients. Risk factors for mortality in critically ill patients have garnered substantial attention in recent research endeavors. The present research aimed to identify factors predicting intensive care unit (ICU) mortality in patients undergoing allogeneic hematopoietic stem cell transplantation (allo-HSCT). Furthermore, the present study analyzed and compared the mortality rate between patients undergoing haploidentical hematopoietic stem cell transplantation (Haplo-SCT) and those undergoing identical sibling donor (ISD) transplantation. A total of 108 patients were included in the present research, 83 (76.9%) of whom underwent Haplo-SCT. ICU mortality was reported in 58 (53.7%) patients, with the values of 55.4 and 48.0% associated with Haplo-SCT and ISD, respectively (P=0.514). The mortality rate of patients undergoing Haplo-SCT was comparable to that of patients undergoing ISD transplantation. The present study found that reduced hemoglobin, elevated total bilirubin, elevated brain natriuretic peptide, elevated fibrinogen degradation products, need for vasoactive drugs at ICU admission, need for invasive mechanical ventilation and elevated APACHE II scores were independent risk factors for ICU mortality. Among patients presenting with 5-7 risk factors, the ICU mortality reached 100%, significantly exceeding that of other patients. The present research revealed that ICU mortality rates remain elevated among patients who underwent allo-HSCT, especially those presenting multiple risk factors. However, the outcome of patients undergoing Haplo-SCT were comparable to those of patients undergoing ISD transplants.

Prediction of cardiovascular events in older patients with hypertension in primary care: a cohort study.

Accurate risk stratification identifying patients with hypertension at risk of future cardiovascular disease in primary care would be desirable. To investigate the association between elevated brain natriuretic peptide (BNP), left ventricular hypertrophy (LVH) on an electrocardiogram (ECG), and LVH on an echocardiogram and the development of cardiovascular events (CVEs), especially heart failure and all-cause mortality (ACM), in a primary care population with hypertension without symptoms of heart failure. A prospective cohort study in five Dutch general practices between 2010-2012 and 2020. In total, 530 patients (aged 60-85 years) underwent laboratory testing, ECGs, and echocardiograms at baseline. The incidence of new CVEs and ACM at up to 9 years' follow-up was recorded by data extraction from the digital information systems. Among the 530 participants, 31 (5.8%) developed a coronary event, 44 (8.3%) a cerebrovascular accident, 53 (10.0%) atrial fibrillation, 23 (4.3%) heart failure, and 66 (12.5%) died. Cox regression analyses, adjusting for relevant Framingham covariates, showed that elevated BNP increased the risk of ACM, CVEs, and specifically heart failure independently by 44% (hazard ratio [HR] 1.44, 95% confidence interval [CI] = 1.07 to 1.94, P = -0.017), 45% (HR 1.45, 95% CI = 1.15 to 1.82, P = 0.002), and 288% (HR 3.88, 95% CI = 2.13 to 7.10, P<0.001), respectively. LVH on ECG increased the risk of ACM independently by 108% (HR 2.08, 95% CI = 1.14 to 3.81, P = 0.017). LVH either on an ECG and/or echocardiogram increased the risk of heart failure independently by 309% (HR 4.09, 95% CI = 1.34 to 12.49, P = 0.014). In primary care patients with hypertension, BNP seems to be an important marker predicting future CVEs, especially heart failure, as well as all-cause mortality.

Serum Brain Natriuretic Peptide Levels Correlate with the Severity of Hypertension in a Population of Nigerian Patients.

Hypertension is a major global health concern requiring precise risk assessment. Brain Natriuretic Peptide (BNP) has emerged as a potential biomarker, but its relationship with hypertension severity requires exploration to evaluate its potential as a risk prediction tool. This study aimed to assess the relationship between serum BNP levels and the severity of hypertension in a population of Nigerian patients. This was an analytical cross-sectional case-controlled study involving 103 hypertensive patients and 98 controls. Participants were grouped based on World Health Organization (WHO) criteria for diagnosis of Hypertension and the severity of hypertension was categorized based on blood pressure readings. The mean BNP levels were assessed among different hypertension grades, while logistic regression was used to assess the odds of higher severity with elevated BNP. Serum BNP levels were significantly higher in hypertensive individuals (616.5 ± 66.3 pg/mL) compared to controls (501.1 ± 84.6 pg/mL) and varied significantly across different hypertension grades (p = 0.000). A positive correlation was observed between serum BNP and hypertension severity (r = 0.736, p < 0.001). Logistic regression analysis indicated increasing odds of higher severity with elevated BNP from Grade 1 to Grade 3 hypertension. This study established a positive correlation between serum BNP levels and hypertension severity, indicating its potential as a predictive biomarker for risk stratification in hypertensive individuals.

Predicting elevated natriuretic peptide in chest radiography: emerging utilization gap for artificial intelligence.

This study assessed an artificial intelligence (AI) model's performance in predicting elevated brain natriuretic peptide (BNP) levels from chest radiograms and its effect on diagnostic performance among healthcare professionals. Patients who underwent chest radiography and BNP testing on the same day were included. Data were sourced from two hospitals: one for model development, and the other for external testing. Two final ensemble models were developed to predict elevated BNP levels of ≥ 200 pg/mL and ≥ 100 pg/mL, respectively. Humans were evaluated to predict elevated BNP levels, followed by the same test, referring to the AI model's predictions. A total of 8390 images were collected for model creation, and 1713 images, for tests. The AI model achieved an accuracy of 0.855, precision of 0.873, sensitivity of 0.827, specificity of 0.882, f1 score of 0.850, and receiver-operating-characteristics area-under-curve of 0.929. The accuracy of the testing by 35 participants significantly improved from 0.708 ± 0.049 to 0.829 ± 0.069 (P < 0.001) with the AI assistance (an accuracy of 0.920). Without the AI assistance, the accuracy of the veterans in the medical career was higher than that of early-career professionals (0.728 ± 0.051 vs. 0.692 ± 0.042, P = 0.030); however, with the AI assistance, the accuracy of the early-career professionals was rather higher than that of the veterans (0.851 ± 0.074 vs. 0.803 ± 0.054, P = 0.033). The AI model can predict elevated BNP levels from chest radiograms and has the potential to improve human performance. The gap in utilizing new tools represents one of the emerging issues.

Detection of early heart failure with preserved ejection fraction in metabolic syndrome patients detected as part of a national screening program in middle aged subjects

Background: We wished to investigate if community detected Metabolic Syndrome (MetS) is associated with the burden of incipient heart failure with preserved ejection fraction (HFpEF) in the community. Methods and Results: We prospectively studied 148 consecutive MetS patients identified from the Lithuanian High Cardiovascular Risk primary prevention program and investigated them further for unknown HFpEF through cardiopulmonary stress testing as well as assessment of brain natriuretic peptide (BNP) levels and of arterial stiffness. Subjects with a peak oxygen consumption value lower than 90% of predicted and/or BNP≥35 ng/L were categorized as having early phase HFpEF. For comparison of this early phase HFpEF with others already clinically diagnosed with HFpEF, patients with both established HFpEF and MetS were selected retrospectively from patients attending our cardiopulmonary stress testing laboratory (n=38). Two thirds of the screening program derived MetS population (n=96) demonstrated a reduced exercise capacity and/or an elevated BNP, indicating signs of early HFpEF. Both the clinically diagnosed HFpEF and the screening program detected MetS group with early HFpEF demonstrated similarly decreased exercise tolerance evaluated by peak oxygen uptake (79.8±22.1% vs 82.7±14.0%, p&gt;0.05). Analysis of arterial markers in the screening program group revealed statistically significant differences of augmentation index values between groups with and without signs of early HFpEF (p=0.016).Conclusions: A considerable proportion of patients having MetS may be diagnosed with previously undetected early stage HFpEF. The use of objective parameters of exercise capacity and neurohormonal activation might be effectively used for the early detection of HFpEF. Also, early HFpEF in this setting is found to be associated with increased arterial stiffness.

Detection of early heart failure with preserved ejection fraction in metabolic syndrome patients detected as part of a national screening program in middle aged subjects

Background: We wished to investigate if community detected Metabolic Syndrome (MetS) is associated with the burden of incipient heart failure with preserved ejection fraction (HFpEF) in the community. Methods and Results: We prospectively studied 148 consecutive MetS patients identified from the Lithuanian High Cardiovascular Risk primary prevention program and investigated them further for unknown HFpEF through cardiopulmonary stress testing as well as assessment of brain natriuretic peptide (BNP) levels and of arterial stiffness. Subjects with a peak oxygen consumption value lower than 90% of predicted and/or BNP≥35 ng/L were categorized as having early phase HFpEF. For comparison of this early phase HFpEF with others already clinically diagnosed with HFpEF, patients with both established HFpEF and MetS were selected retrospectively from patients attending our cardiopulmonary stress testing laboratory (n=38). Two thirds of the screening program derived MetS population (n=96) demonstrated a reduced exercise capacity and/or an elevated BNP, indicating signs of early HFpEF. Both the clinically diagnosed HFpEF and the screening program detected MetS group with early HFpEF demonstrated similarly decreased exercise tolerance evaluated by peak oxygen uptake (79.8±22.1% vs 82.7±14.0%, p&gt;0.05). Analysis of arterial markers in the screening program group revealed statistically significant differences of augmentation index values between groups with and without signs of early HFpEF (p=0.016).Conclusions: A considerable proportion of patients having MetS may be diagnosed with previously undetected early stage HFpEF. The use of objective parameters of exercise capacity and neurohormonal activation might be effectively used for the early detection of HFpEF. Also, early HFpEF in this setting is found to be associated with increased arterial stiffness.

Detection of early heart failure with preserved ejection fraction in metabolic syndrome patients detected as part of a national screening program in middle aged subjects

Background: We wished to investigate if community detected Metabolic Syndrome (MetS) is associated with the burden of incipient heart failure with preserved ejection fraction (HFpEF) in the community. Methods and Results: We prospectively studied 148 consecutive MetS patients identified from the Lithuanian High Cardiovascular Risk primary prevention program and investigated them further for unknown HFpEF through cardiopulmonary stress testing as well as assessment of brain natriuretic peptide (BNP) levels and of arterial stiffness. Subjects with a peak oxygen consumption value lower than 90% of predicted and/or BNP≥35 ng/L were categorized as having early phase HFpEF. For comparison of this early phase HFpEF with others already clinically diagnosed with HFpEF, patients with both established HFpEF and MetS were selected retrospectively from patients attending our cardiopulmonary stress testing laboratory (n=38). Two thirds of the screening program derived MetS population (n=96) demonstrated a reduced exercise capacity and/or an elevated BNP, indicating signs of early HFpEF. Both the clinically diagnosed HFpEF and the screening program detected MetS group with early HFpEF demonstrated similarly decreased exercise tolerance evaluated by peak oxygen uptake (79.8±22.1% vs 82.7±14.0%, p&gt;0.05). Analysis of arterial markers in the screening program group revealed statistically significant differences of augmentation index values between groups with and without signs of early HFpEF (p=0.016).Conclusions: A considerable proportion of patients having MetS may be diagnosed with previously undetected early stage HFpEF. The use of objective parameters of exercise capacity and neurohormonal activation might be effectively used for the early detection of HFpEF. Also, early HFpEF in this setting is found to be associated with increased arterial stiffness.

Detection of microemboli in patients with acute ischaemic stroke and atrial fibrillation suggests poor functional outcome.

We investigated the burden of microembolic signals (MES) in patients with acute ischaemic stroke (AIS) and atrial fibrillation (AF), assessing their impact on functional outcomes. This multicentre international prospective cohort study involved patients with AIS and either a known or newly diagnosed anticoagulant-naïve AF. All centres utilised the same transcranial Doppler machine for 1-h monitoring with bilateral 2 MHz probes within 24 h of symptom onset. Recordings underwent MES analysis by a blinded central reader. The primary objectives were to ascertain the MES proportion and its association with functional outcomes assessed by the modified Rankin scale (mRS) score at 90 days. Between September 2019 and May 2021, we enrolled 61 patients, with a median age of 78 years (interquartile range 73-83) and a median stroke severity score of 11 (interquartile range 4-18). MES were observed in 14 patients (23%), predominantly unilateral (12/14, 86%), with a median rate of 6 counts/hour (interquartile range 4-18). MES occurrence was higher post-thrombectomy and among those with elevated brain natriuretic peptide levels (p < 0.05). A worse mRS score of 3-6 was more frequent in patients with MES, occurring in 11/14 (79%), compared to those without MES, 20/47 (43%), with an adjusted odds ratio of 5.04 (95% CI, 1.15-39.4), p = 0.04. Nearly a quarter of patients with AIS and AF exhibited silent microembolization after the index event. Detecting MES within 24 h post-stroke (using transcranial Doppler) could signify a marker of poor functional outcomes. Subsequent trials will assess if very early antithrombotic treatment might enhance outcomes in this highly selective group of cardioembolic stroke patients. (Clinicaltrials.gov ID: NCT06018090).

Assessment of biomarkers and clinical parameters as predictors of survival in patients with chagasic heart failure.

Chagas disease, endemic in Latin America and spreading globally due to emigration, has a significant health burden, particularly in relation to chagasic heart failure (HF). Chagasic cardiomyopathy (CCM) is characterized by chronic inflammatory myocardial disease. This study aimed to identify inflammatory parameters and biomarkers that could aid in the management of patients with chagasic HF. A cohort study was conducted at a tertiary cardiology single-center over a mean follow-up period of 2.4 years. The study included patients with HF secondary to CCM enrolled between October 2013 and July 2017. Various clinical parameters, echocardiography findings, parasitemia status, brain natriuretic peptide (BNP) and troponin T (TnT) levels, and inflammatory biomarkers (IL-6, IL-10, IL-12p70, IL-17A, adiponectin, and IFN-γ) were assessed. The study encompassed a cohort of 103 patients, with a median age of 53 years and 70% being male. The left ventricular ejection fraction (LVEF) was 28%, with 40% of patients classified as NYHA II functional class. The median BNP level was 291 pg/ml. The observed mortality rate during the study period was 38.8%. Predictors of lower survival were identified as elevated levels of BNP, TnT, reduced LVEF, and increased adiponectin (thresholds: BNP > 309 pg/ml, TnT > 27.5 ng/ml, LVEF < 25.5%, adiponectin > 38 μg/mL). Notably, there was no evidence indicating a relationship between parasitemia and the inflammatory parameters with lower survival in these patients, including INF-γ, IL-6, IL-10, IL12-(p70), and IL17a. Despite the presence of a chronic inflammatory process, the evaluated inflammatory biomarkers in this cohort were not predictive of survival in patients with chagasic HF with reduced ejection fraction (HFrEF). However, reduced LVEF, elevated BNP, adiponectin levels, and troponin T were identified as predictors of lower survival in these patients.

Abstract 11601: Does Artificial Intelligence Dream of Elevated Natriuretic Peptide in Chest Radiography?

Introduction: Heart failure pandemic is a medical issue, and its diagnosis can be challenging. Hypothesis: To assess the hypothesis that the artificial intelligence (AI) model for predicting elevated brain natriuretic peptide (BNP) levels from chest X-ray images has sufficient performance and could improve the diagnostic performance of human. Methods: Patients who underwent chest radiography and BNP testing on the same day were enrolled in this study. The chest X-ray images were labeled based on plasma BNP levels &gt;= 200 pg/mL. We trained models that predicted the label, and the final ensemble model was constructed. Humans were trained and tested to predict labels, followed by the same test, referring to the prediction of the AI model. Diagnostic performance was assessed. Results: Among the 1607 patients, 10103 chest X-ray images and BNP values were collected. We assembled 31 models as the final model with an accuracy of 0.855, precision of 0.873, recall of 0.827, receiver-operating-characteristics area-under-curve (AUC) of 0.929, and precision-recall AUC of 0.934. The accuracy of the testing by 35 individuals significantly improved from 0.708±0.049 to 0.829±0.069 (P &amp;lt; 0.001) with AI assistance. The accuracy of the experts was higher than that of non-experts (0.692±0.042 vs. 0.728±0.051, P = 0.030); however, with the AI assistance, the accuracy of the non-experts was rather higher than that of the experts (0.851±0.074 vs. 0.803±0.054, P = 0.033). Conclusions: The AI model can predict elevated BNP levels from chest X-ray images and could improve the diagnostic performance of humans.