Biomarkers in diagnosing and treatment of acute heart failure

2019 ◽  
Vol 13 (14) ◽  
pp. 1235-1249 ◽  
Author(s):  
Leili Pourafkari ◽  
Arezou Tajlil ◽  
Nader D Nader
Keyword(s):  
Heart Failure ◽  
Risk Stratification ◽  
Acute Heart Failure ◽  
Natriuretic Peptides ◽  
Morbidity And Mortality ◽  
Disease Monitoring ◽  
New Targets ◽  
Complex Disorder ◽  
Cardiac Troponins

Acute heart failure (AHF) is a complex disorder involving different pathophysiological pathways. In recent years, there is an increased focus on biomarkers that help with diagnosis, risk stratification and disease monitoring of AHF. Finding a reliable set of biomarkers not only improves morbidity and mortality but it can also potentially reveal the new targets of therapy. In this paper, we have reviewed the biomarkers found useful for the diagnosis as well as for risk stratification and prognostication in patients with AHF. We have discussed the established biomarkers for AHF including cardiac troponins and natriuretic peptides and emerging biomarkers including adiponectin, mi-RNA, sST2, Gal-3, MR-proADM, OPG, CT-proAVP and H-FABP for the purposes of making diagnosis, their use as a guide of therapy or for determination of prognosis.

scholarly journals Heart Failure and Diabetes Mellitus: Biomarkers in Risk Stratification and Prognostication

2021 ◽  
Vol 11 (10) ◽  
pp. 4397
Author(s):  
Michael Lichtenauer ◽  
Peter Jirak ◽  
Vera Paar ◽  
Brigitte Sipos ◽  
Kristen Kopp ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Heart Failure ◽  
Ejection Fraction ◽  
Risk Stratification ◽  
Natriuretic Peptides ◽  
Predictive Ability ◽  
High Sensitivity ◽  
Routine Practice ◽  
Reduced Ejection Fraction ◽  
Novel Biomarkers

Heart failure (HF) and type 2 diabetes mellitus (T2DM) have a synergistic effect on cardiovascular (CV) morbidity and mortality in patients with established CV disease (CVD). The aim of this review is to summarize the knowledge regarding the discriminative abilities of conventional and novel biomarkers in T2DM patients with established HF or at higher risk of developing HF. While conventional biomarkers, such as natriuretic peptides and high-sensitivity troponins demonstrate high predictive ability in HF with reduced ejection fraction (HFrEF), this is not the case for HF with preserved ejection fraction (HFpEF). HFpEF is a heterogeneous disease with a high variability of CVD and conventional risk factors including T2DM, hypertension, renal disease, older age, and female sex; therefore, the extrapolation of predictive abilities of traditional biomarkers on this population is constrained. New biomarker-based approaches are disputed to be sufficient for improving risk stratification and the prediction of poor clinical outcomes in patients with HFpEF. Novel biomarkers of biomechanical stress, fibrosis, inflammation, oxidative stress, and collagen turn-over have shown potential benefits in determining prognosis in T2DM patients with HF regardless of natriuretic peptides, but their role in point-to-care and in routine practice requires elucidation in large clinical trials.

scholarly journals Prediction of short-term mortality in acute heart failure patients using minimal electronic health record data

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Ashwath Radhachandran ◽  
Anurag Garikipati ◽  
Nicole S. Zelin ◽  
Emily Pellegrini ◽  
Sina Ghandian ◽  
...  
Keyword(s):  
Heart Failure ◽  
Logistic Regression ◽  
Decision Tree ◽  
Risk Stratification ◽  
Acute Heart Failure ◽  
Model Performance ◽  
Machine Learning Techniques ◽  
Electronic Health Record Data ◽  
Test Set ◽  
Patient Disposition

Abstract Background Acute heart failure (AHF) is associated with significant morbidity and mortality. Effective patient risk stratification is essential to guiding hospitalization decisions and the clinical management of AHF. Clinical decision support systems can be used to improve predictions of mortality made in emergency care settings for the purpose of AHF risk stratification. In this study, several models for the prediction of seven-day mortality among AHF patients were developed by applying machine learning techniques to retrospective patient data from 236,275 total emergency department (ED) encounters, 1881 of which were considered positive for AHF and were used for model training and testing. The models used varying subsets of age, sex, vital signs, and laboratory values. Model performance was compared to the Emergency Heart Failure Mortality Risk Grade (EHMRG) model, a commonly used system for prediction of seven-day mortality in the ED with similar (or, in some cases, more extensive) inputs. Model performance was assessed in terms of area under the receiver operating characteristic curve (AUROC), sensitivity, and specificity. Results When trained and tested on a large academic dataset, the best-performing model and EHMRG demonstrated test set AUROCs of 0.84 and 0.78, respectively, for prediction of seven-day mortality. Given only measurements of respiratory rate, temperature, mean arterial pressure, and FiO2, one model produced a test set AUROC of 0.83. Neither a logistic regression comparator nor a simple decision tree outperformed EHMRG. Conclusions A model using only the measurements of four clinical variables outperforms EHMRG in the prediction of seven-day mortality in AHF. With these inputs, the model could not be replaced by logistic regression or reduced to a simple decision tree without significant performance loss. In ED settings, this minimal-input risk stratification tool may assist clinicians in making critical decisions about patient disposition by providing early and accurate insights into individual patient’s risk profiles.

scholarly journals Effects of levosimendan in patients with acute heart failure and cardiorenal syndrome

2021 ◽  
Vol 10 (Supplement_1) ◽  
Author(s):  
M Ribeiro Da Silva ◽  
G Santos Silva ◽  
D Caeiro ◽  
M Passos Silva ◽  
C Guerreiro ◽  
...  
Keyword(s):  
Heart Failure ◽  
Acute Heart Failure ◽  
Natriuretic Peptides ◽  
Angiotensin Receptor Blockers ◽  
Cardiorenal Syndrome ◽  
Baseline Serum ◽  
Beneficial Effects ◽  
Funding Sources ◽  
Tertiary Center ◽  
Short Term Mortality

Abstract Funding Acknowledgements Type of funding sources: None. Introduction Cardiorenal syndrome (CRS) is common in patients with acute heart failure (AHF) and is associated with poor prognosis. Levosimendan (LVS) is an inodilator used in AHF and has beneficial effects on renal function (RF). However, its effects on RF in CRS patients are not established. Purpose To evaluate whether LVS could improve RF in AHF patients with or without CRS. Methods Retrospective study that included patients with AHF treated with LVS in a cardiac intensive care unit of a tertiary center, between January 2015 and June 2018. Baseline serum creatinine (SCr) was recorded and SCr and glomerular filtration rate (GFR) were accessed before and within 5 days after LSV use. CRS was defined as an increase in SCr > 0,3 mg/dL over baseline (before LVS use). RF improvement was defined as a decrease in SCr after LVS use. We evaluate outcomes at 1-year. Results 61 patients were included, 84% males, mean age 65 years, ejection fraction ≤40% in 87%. INTERMACS 4 and hemodynamic profile C were the most frequent presentation. LSV was administered in 24h, without bolus, in most patients. CRS was present in 44,3% of patients. Basal characteristics were similar between CRS and no-CRS patients, including prevalence of chronic kidney disease, baseline SCr or natriuretic peptides (p> 0,05 for all). CRS patients had a significant improvement in RF after LVS use (SCr 2,08 to 1,65 mg/dL, p< 0,001 and GFR 40,4 to 54,6 mL/min/m2, p< 0,001), while no-CRS patients had no significant improvement in RF (SCr 1,33 to 1,32 mg/dL and GFR 64,1 to 64,5 mL/min/m2, p> 0,05 for all). Also, there was a significant decrease in natriuretic peptides after LVS in CRS patients (NT-proBNP 13527,5 to 10708,8 pg/mL, p= 0,006), without significant differences in no-CRS patients. It is noteworthy that at discharge, CRS patients were more likely to titrate HF optimal medical therapy (OMT) compared with no-CRS patients (p= 0,039). There was a lower tendency to suspend angiotensin-converting enzyme (ACE-I) and angiotensin receptor blockers (ARB) in CRS patients (p= 0,05). At discharge CRS patients received more furosemide than at admission (77,2 mg/day to 97,1 mg/day, p= 0,019) compared with no-CRS patients (89,6 mg/day to 97,0 mg/day, p= 0,469), receiving similar doses at discharge. In CRS patients, RF improvement was associated with a decrease in intra-hospital mortality (p= 0,043) and a tendency to decrease 30-day mortality (p= 0,060), but without differences in one-year mortality. Conclusion In CRS patients, LVS improved RF and NT-proBNP, allowed to titrate OMT and decreased the need to suspend ACE-I or ARB and was associated to a decrease in short-term mortality.

scholarly journals ACUTE Heart Failure Risk Stratification

Circulation ◽  
2019 ◽  
Vol 139 (9) ◽  
pp. 1157-1161 ◽  
Author(s):  
Sean P. Collins ◽  
Peter S. Pang
Keyword(s):  
Heart Failure ◽  
Risk Stratification ◽  
Acute Heart Failure ◽  
Failure Risk

Biomarkers in acute heart failure

2015 ◽  
Author(s):  
Rajiv Choudhary ◽  
Kevin Shah ◽  
Alan Maisel
Keyword(s):  
Heart Failure ◽  
Acute Heart Failure ◽  
Natriuretic Peptides ◽  
Health Care Systems ◽  
Medical Problem ◽  
National Health Care ◽  
Neutrophil Gelatinase Associated Lipocalin ◽  
Acute Dyspnoea ◽  
Care Systems ◽  
Neutrophil Gelatinase

Acute heart failure continues to be a worldwide medical problem, associated with frequent readmissions, high mortality, and a profound economic impact on national health care systems. In the past decade, biomarkers have shifted the way in which acute heart failure is managed by the cardiologist. The search for the ideal biomarker to aid in the diagnosis, prognosis, and treatment of acute heart failure is ongoing. The natriuretic peptides have proved extremely useful in determining whether acute dyspnoea has a cardiac aetiology. In addition, recent trials have demonstrated the use of natriuretic peptides in inpatient and outpatient prognosis, as well as in titrating medications in outpatients with chronic heart failure to prevent acute heart failure hospitalizations. Other emerging acute heart failure biomarkers include mid-regional pro-adrenomedullin, mid-regional proatrial natriuretic peptide, troponin, ST2, and neutrophil gelatinase-associated lipocalin.

scholarly journals Chronic Heart Failure in Rheumatoid Arthritis Patients (Part II): Difficulties of Diagnosis

2019 ◽  
Vol 14 (6) ◽  
pp. 870-878 ◽  
Author(s):  
D. S. Novikova ◽  
H. V. Udachkina ◽  
I. G. Kirillova ◽  
T. V. Popkova
Keyword(s):  
Rheumatoid Arthritis ◽  
Heart Failure ◽  
Chronic Heart Failure ◽  
Ejection Fraction ◽  
Natriuretic Peptides ◽  
Myocardial Dysfunction ◽  
Left Ventricular ◽  
Myocardial Deformation ◽  
Left Ventricular Ejection

Rheumatoid arthritis (RA) is characterized by a twofold increase in morbidity and mortality due to chronic heart failure (CHF). At the same time, the prevalence of CHF among RA patients is significantly underestimated. The aim of the review was to analyze the results of the main studies on the features of the clinical presentation of heart failure (HF) in RA patients, the role of visualization techniques and biomarkers in the diagnosis of HF and preclinical dysfunction of the myocardium. HF in patients with RA is characterized by a predominance of HF with a preserved left ventricular ejection fraction (LVEF). The use of clinical diagnostic criteria in RA patients can lead to both over- or underdiagnosis of CHF. Systolic dysfunction estimated by LVEF is rare in RA and does not reflect the real frequency of myocardial dysfunction. Echocardiography (ECHO-CG) with tissue Doppler echocardiography (TDE) and visualization of myocardial deformation, magnetic resonance imaging (MRI) of the heart in RA patients revealed a high frequency of HF with preserved ejection fraction, left ventricular remodeling and hypertrophy, pre-clinical systolic and diastolic dysfunction. Determination of natriuretic peptides is useful for verifying the diagnosis of HF and estimating the prognosis in this cohort, despite the possible decrease in the sensitivity and specificity of these indicators in RA patients. The review discusses the advantages of MRI of the heart, including quantitative T1 and T2 regimens, in the diagnosis of myocarditis, myocardial fibrosis, and myocardial perfusion disorders in RA patients. In order to verify the diagnosis of heart failure and detect pre-clinical myocardial dysfunction in RA patients, the determination of natriuretic peptides concentration should become part of the routine examination, beginning with the debut of the disease, along with the collection of a cardiological history, physical examination, ECHO-CT with TDE, and visualization of myocardial deformation. Evaluation of the quantitative characteristics of tissue according to MRI of the heart could improve the diagnosis of myocardial damage.

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