Do we need another heart failure biomarker. focus on soluble suppression of tumorigenicity 2 (sST2)

If sST2 indeed turns into the HbA1c of heart failure, its value should increase exponentially in our management of patients with heart failure. Serial sST2 levels should allow us to titrate therapy and monitor the clinical state of the patient. In addition, since sST2 is such a strong marker of the risk of death, it would not be surprising to see a level be used to make decisions when patients are on the cusp of such therapies as ICD, CRT, CardioMems implantation and even left ventricular assist devices. A discussion about the use of biomarkers would not be complete without mentioning the issue of surrogates for determining the therapy effectiveness of some of the newer heart failure drugs. Novartis’s EntrestoVR , the brand name for its recently CE marked and FDA approved ARNI1 drug (previously known as LCZ696) and Servier’s ivabradine drug CorlanorVR (marketed by Amgen in the USA), also CE marked and FDA approved, while offering exciting potential benefits to heart failure patients—even being hailed ‘game-changer’ drugs by some—raises the thorny issue of cost vs. benefit. These new drugs are several times the cost of the generics that have become the mainstay of heart failure treatment, i.e. ACE inhibitors, angiotensin receptor blocker (ARBs), beta-blockers, etc. Pushback is therefore expected from payers. Because sST2 changes rapidly with the underlying condition of the patient, is not affected by normal confounding factors, and has a single cut point, it may be ideally suited to help clinicians determine if these newer mediations are effective for each patient, are improving quality of life, and whether dosing needs to be titrated or changed. The new reality of heart failure care is that while more treatment options have opened up, which can literally be a lifesaver for millions of patients, the burden on healthcare systems has skyrocketed. Biomarkers, and particularly sST2, could offer physicians and payers a way to bring treatment down to an individual patient level, providing

An Update of Armamentarium for Non Invasive Cardiac Haemodynamics and Congestion Evaluation for Acute Heart Failure Patients

In the management of Acute Heart Failure(AHF) patients ,current guidelines  suggest  to make a prompt  clinical assessments that include  patient’s congestion and perfusion status evaluation, in order to  start appropriate treatments. Unfortunately ,so far, an accurate evaluation of haemodynamic and fluid status of AHF patients is only possible using invasive methods ;conseguently there is an unmeet need for noninvasive technologies to easly detect  different phenotypes of AHF subjects based on different cardiac haemodynamic profiles . Technological advances such as: Biva,Nexfin or NICas   could  allow for routine noninvasive continuous monitoring of Cardiac Hemodymanics and Fluid content in Acute Heart Failure patients. These  non invasive measurements may provide important information  for improving diagnosis, developing individualized therapeutic management plans/disposition decisions and predicting short term mortalit

ST2 in Stable and Unstable Ischemic Heart Diseases

Circulating suppression of tumorigenicity 2 (ST2) predicts cardiovascular outcomes and mortality in ischemic heart disease (IHD). ST2 does not correlate with traditional risk indicators as closely as N-terminal pro–brain natriuretic peptide (NT-proBNP) and is only weakly correlated with other biomarkers, indicating distinct pathways for stimulus and release. Although of little diagnostic utility in IHD, ST2 does offer prognostic information. In ST elevation myocardial infarction, ST2 levels increase to peak above the normal reference range (within 6 to 18 hours of symptom onset) in about half of patients. Levels in the upper quartile observed in IHD independently predict cardiovascular death and heart failure with an approximate doubling of risk. Similar but weaker associations have been reported in non–ST elevation myocardial infarction, in which ST2 predicts short-term (30-day) and long-term (>1-year) death and heart failure independent of clinical indicators, but these relations are lost if Global Registry of Acute Coronary Events (GRACE) score and NT-proBNP are added to multivariate models. Early postinfarction levels of ST2 (i.e., <24 hours after admission) have the greatest prognostic utility. Early postinfarction ST2 levels and change over 24 weeks are related to infarct extent and remodeling to a similar extent as NT-proBNP and aldosterone, and ST2 may have a significant pathophysiological role in these postinfarction processes. In long-term follow-up of stable IHD, ST2 is predictive of all-cause and cardiovascular mortality independent of accepted clinical indicators and other biomarkers, including NT-proBNP, high-sensitivity C-reactive protein, interleukin-6, high-sensitivitiy cardiac troponin T, and galectin-3. In conclusion, ST2 in combination with NT-proBNP consistently improves risk stratification compared with either marker alone

In-hospital brain natriuretic peptide and N-terminal prohormone brain natriuretic peptide variations are predictors of short-term and long-term outcome in acute decompensated heart failure

Acute decompensated heart failure is one of the most important causes of hospitalisation worldwide. Natriuretic peptides have shown their usefulness in the diagnosis and management of heart failure. Their variations during hospitalisation also appear useful to predict outcomes. In particular, data from the literature demonstrate that reduction from admission to discharge of brain natriuretic peptide and N-terminal prohormone brain natriuretic peptide in these patients is a predictor of future cardiovascular events

analysis of a data flow in a financial iot system

Abstract Data retrieving, analysis e management are usually known as complex task in financial contexts. In an Internet of Things (IoT) system data-flow processes represent the knowledge base used in mathematical models for credits and financial products. Several sources such as distributed database systems, portals and local information are generally used as input of inferring models. In this paper we describe an overview of software tools, methodologies and strategies in real data-flow system

remarks on a computational estimator for the barrier option pricing in an iot scenario

Abstract The importance of derivatives in financial markets has known an exponential growth in the last decades, especially in risk management and speculation fields: this explains researchers' interest in answering questions about this kind of contracts. In particular, in this paper we restrict our attention on European vanilla and barrier options, and we propose a statistical procedure to solve efficiently the problem of determining the no arbitrage price of this type of derivatives in an IoT context: starting form an Internet of Things (IoT) data flow, an IoT system takes information from several sources and stores it into a suitable database; this information is used in our estimation problem. Our scheme is based on some strong assumptions about the market model, in particular the completeness of the market, the log-normality of the underlying asset with a constant volatility. We conclude this paper with an application of our framework to a real case

Plasma adrenomedullin is associated with short-term mortality and vasopressor requirement in patients admitted with sepsis

Introduction: The incidence of death among patients admitted for severe sepsis or septic shock is high. Adrenomedullin (ADM) plays a central role in initiating the hyperdynamic response during the early stages of sepsis. Pilot studies indicate an association of plasma ADM with the severity of the disease. In the present study we utilized a novel sandwich immunoassay of bioactive plasma ADM in patients hospitalized with sepsis in order to assess the clinical utility.Methods: We enrolled 101 consecutive patients admitted to the emergency department with suspected sepsis in this study. Sepsis was defined by fulfillment of at least two systemic inflammatory response syndrome (SIRS) criteria plus clinical suspicion of infection. Plasma samples for ADM measurement were obtained on admission and for the next four days. The 28-day mortality rate was recorded.Results: ADM at admission was associated with severity of disease (correlation with Acute Physiology and Chronic Health Evaluation II (APACHE II) score: r = 0.46; P &lt;0.0001). ADM was also associated with 28-day mortality (ADM median (IQR): survivors: 50 (31 to 77) pg/mL; non-survivors: 84 (48 to 232) pg/mL; P &lt;0.001) and was independent from and additive to APACHE II (P = 0.02). Cox regression analysis revealed an additive value of serial measurement of ADM over baseline assessment for prediction of 28-day mortality (P &lt; 0.01). ADM was negatively correlated with mean arterial pressure (r = -0.39; P &lt;0.0001), and it strongly discriminated those patients requiring vasopressor therapy from the others (ADM median (IQR): no vasopressors 48 (32 to 75) pg/mL; with vasopressors 129 (83 to 264) pg/mL, P &lt;0.0001).Conclusions: In patients admitted with sepsis, severe sepsis or septic shock plasma ADM is strongly associated with severity of disease, vasopressor requirement and 28-day mortality

Rationale and study design of intravenous loop diuretic administration in acute heart failure. DIUR-AHF

Aims: Although loop diuretics are the most commonly used drugs in acute heart failure (AHF) treatment, their short-term and long-term effects are relatively unknown. The significance of worsening renal function occurrence during intravenous treatment is not clear enough. This trial aims to clarify all these features and contemplate whether continuous infusion is better than an intermittent strategy in terms of decongestion efficacy, diuretic efficiency, renal function, and long-term prognosis. Methods and results: This is a prospective, multicentre, randomized study that compares continuous infusion to intermittent infusion and a low vs. high diuretic dose of furosemide in patients with a diagnosis of acute heart failure, BNP ≥ 100 pg/mL, and specific chest X-ray signs. Randomization criteria have been established at a 1:1 ratio using a computer-generated scheme of either twice-daily bolus injection or continuous infusion for a time period ranging from 72 to 120 h. The initial dose will be 80 mg/day of intravenous furosemide and, in the case of poor response, will be doubled using an escalation algorithm. A high diuretic dose is defined as a furosemide daily amount >120 mg/day respectively. Conclusions: Continuous and high dose groups could reveal a more intensive diuresis and a greater decongestion with respect to intermittent and low dose groups; high dose and poor loop diuretic efficiency should be related to increased diuretic resistance, renal dysfunction occurrence, and greater congestion status. Poor diuretic response will be associated with less decongestion and an adverse prognosis

A Sequential Monte Carlo Approach for the pricing of barrier option in a Stochastic Volatility Model

In this paper we propose a numerical scheme to estimate the price of a barrier option in a general framework. More precisely, we extend a classical Sequential Monte Carlo approach, developed under the hypothesis of deterministic volatility, to Stochastic Volatility models, in order to improve the efficiency of Standard Monte Carlo techniques in the case of barrier options whose underlying approaches the barriers. The paper concludes with the application of our procedure to two case studies in a SABR model

Soluble suppression of tumorigenicity 2 and echocardiography in sepsis

Soluble suppression of tumorigenicity 2 (sST2) has emerged as a biomarker of cardiac stretch or remodeling, and has demonstrated a role in acutely decompensated heart failure. However, its role in sepsis-induced cardiac dysfunction is still unknown. We explored whether sST2 serum concentration reflects either systolic or diastolic dysfunction as measured by Doppler echocardiography. In a total of 127 patients with sepsis, correlations between sST2 and blood pressure, left ventricular (LV) ejection fraction, LV diastolic filling (ratio of early transmitral flow velocity to early diastolic mitral annulus velocity), and resting pulmonary arterial pressure were evaluated. Correlations between sST2 and other sepsis biomarkers (high-sensitivity C-reactive protein [hs-CRP] and procalcitonin) were also examined. sST2 showed a moderate correlation with mean arterial pressure (r=-0.3499) but no correlation with LV ejection fraction, diastolic filling, or resting pulmonary hypertension. It showed moderate correlations with hs-CRP and procalcitonin (r=0.2608 and r=0.3829, respectively). sST2 might have a role as a biomarker of shock or inflammation, but it cannot reflect echocardiographic findings of LV ejection fraction or diastolic filling in sepsis