Evaluation of a Point-of-Care N-Terminal Pro-Brain Natriuretic Peptide Assay for Heart Failure Management

Biomarkers play a fundamental role in the management of heart failure. Both new and old biomarkers are evaluated every year with new information gained for their use in heart failure. Major advancements have been made in the past 2 years in key biomarkers that will surely become part of standard clinical management of heart failure. This review will focus on major developments since 2016. Soluble suppression of tumorigenicity 2 has had multiple breakthrough studies solidifying its prognostic use in both acute and chronic heart failure and with multiple studies showing a strong benefit with serial monitoring. High-sensitivity troponin has also recently been demonstrated to be a powerful prognostic biomarker in heart failure. Additionally, it may serve as a novel screening tool to identify patients at high risk for incident heart failure. Natriuretic peptides continue to show their resilience as the main prognostic biomarker in heart failure. Recent studies suggest natriuretic peptides may help identify certain patient populations that benefit from specific therapies and they can predict prognosis beyond in diseases other than heart failure. Although natriuretic peptides are well-established biomarkers in heart failure, the weight of evidence for soluble suppression of tumorigenicity 2 and high-sensitivity troponin has significantly grown since 2016 that these two biomarkers should be incorporated into regular practice and management of heart failure patients.

Biomarkers in Acute Heart Failure

Adherence to Guideline-Recommended Adjunctive Heart Failure Therapies Among Outpatient Cardiology Practices (Findings from IMPROVE HF)

The Complex Relationship Between Ischemic Heart Disease and COPD Exacerbations

Heart failure

Cardiac myosin-binding protein C as a candidate biomarker in heart failure: rational but not revolutionary.

May 2023 at a glance: focus on pathophysiology, comorbidities and devices.

2009;53;1343-1382; originally published online Mar 26, 2009; J. Am. Coll. Cardiol. Rahko, Marc A. Silver, Lynne Warner Stevenson, and Clyde W. Yancy Francis, Theodore G. Ganiats, Marvin A. Konstam, Donna M. Mancini, Peter S. Mariell Jessup, William T. Abraham, Donald E. Casey, Arthur M. Feldman, Gary S. Heart and Lung Transplantation Developed in Collaboration With the International Society for Guidelines Cardiology Foundation/American Heart Association Task Force on Practice Management of Heart Failure in Adults: A Report of the American College of 2009 Focused Update: ACCF/AHA Guidelines for the Diagnosis and This information is current as of August 30, 2010 http://content.onlinejacc.org/cgi/content/full/53/15/1343 located on the World Wide Web at: The online version of this article, along with updated information and services, is

This review aims to provide a comprehensive overview of the current understanding of genetic markers associated with heart failure (HF) and its underlying causative diseases, such as cardiomyopathies. It highlights the relevance of genetic biomarkers in diagnosing HF, predicting prognosis, potentially identifying its preclinical stages and identifying targets to enable the implementation of individualized medicine approaches. The prevalence of HF is increasing due to an aging population but with greater access to disease-modifying therapies. Advanced diagnostic tools such as cardiac magnetic resonance, nuclear imaging, and AI-enabled diagnostic testing are now being utilized to further characterize HF patients. Additionally, the importance of genetic testing in HF diagnosis and management is increasingly being recognized. Genetic biomarkers, including single nucleotide polymorphisms (SNPs) and rare genetic variants, are emerging as crucial tools for diagnosing HF substrates, determining prognosis and increasingly directing therapy. These genetic insights are key to optimizing HF management and delivering personalized treatment tailored to individual patients. HF is a complex syndrome affecting millions globally, characterized by high mortality and significant economic burden. Understanding the underlying etiologies of HF is essential for improving management and clinical outcomes. Recent advances highlight the use of multimodal assessments, including AI-enabled diagnostics and genetic testing, to better characterize and manage HF. Genetic biomarkers are particularly promising in identifying preclinical HF stages and providing personalized treatment options. The genetic contribution to HF is heterogeneous, with both monogenic and polygenic bases playing a role. These developments underscore the shift towards personalized medicine in HF management.

International Society for Heart and Lung Transplantation: Practice guidelines for management of heart failure in children

published online Mar 26, 2009; J. Am. Coll. Cardiol. Lynne Warner Stevenson, and Clyde W. Yancy Ganiats, Marvin A. Konstam, Donna M. Mancini, Peter S. Rahko, Marc A. Silver, Abraham, Donald E. Casey, Arthur M. Feldman, Gary S. Francis, Theodore G. Silver, Lynne Warner Stevenson, Clyde W. Yancy, Mariell Jessup, William T. Konstam, Donna M. Mancini, Keith Michl, John A. Oates, Peter S. Rahko, Marc A. M. Feldman, Gary S. Francis, Theodore G. Ganiats, Mariell Jessup, Marvin A. Transplantation, Sharon Ann Hunt, William T. Abraham, Marshall H. Chin, Arthur Force on Practice Guidelines, International Society for Heart and Lung American College of Cardiology Foundation/American Heart Association Task Diagnosis and Management of Heart Failure in Adults 2009 Focused Update Incorporated Into the ACC/AHA 2005 Guidelines for the This information is current as of March 27, 2009 http://content.onlinejacc.org/cgi/content/full/j.jacc.2008.11.013v1 located on the World Wide Web at: The online version of this article, along with updated information and services, is

To Infuse or Not?

Point-of-care testing (POCT) glucose meters are essential for rapid glucose monitoring. This study aimed to evaluate the analytical performance of 2 novel network-capable POCT glucometers, CobasPulse (Roche Diagnostic) and StatStrip (Nova Biomedical), in comparison to the Atellica CH 930 Analyzer (Siemens Healthcare), a central laboratory clinical chemistry analyzer, as a reference method. A cohort of 150 patients' venous whole blood samples were analyzed. Method comparison was performed using Passing-Bablok regression and Bland-Altman plots. Precision studies were conducted using commercial controls, with assessment of within-run and between-run imprecision by experienced laboratory technicians. Performance was assessed against FDA 2020 benchmarks. Passing-Bablok regression showed accurate overlap for both POCT devices. CobasPulse exhibited a bias of -0.17 mmol/L and Pearson r of 0.982, while StatStrip showed a bias of -0.35 mmol/L and Pearson r of 0.959. Within-run CV for Cobas Pulse (3.3 mmol/L control) was 2.4%, and for StatStrip (3.44 mmol/L control) was 5.2%. Between-run CVs were 2.1% for Cobas Pulse and 3.2% for StatStrip at comparable glucose concentrations. Both CobasPulse and StatStrip demonstrated acceptable concordance with the Atellica CH 930 Analyzer. While Cobas Pulse showed slightly better agreement and precision, both devices are suitable for glucose measurements in healthcare settings, providing reliable results and reduced turnaround time, supporting timely clinical decisions for rapid glycemic assessment.

Salt Taste Sensitivity and Heart Failure Outcomes Following Heart Failure Hospitalization

Task Force 7: Pediatric Cardiology Fellowship Training in Pulmonary Hypertension, Advanced Heart Failure, and Transplantation. SPCTPD/ACC/AAP/AHA.