Contributors
EDUARDO BOSSONE, MD, PhD, FCCP, FESC, FACC (Source: Heart Failure Clinics)
Source: Heart Failure Clinics - June 17, 2022 Category: Cardiology Source Type: research
Contents
Ragavendra R. Baliga, George A. Mensah, and Eduardo Bossone (Source: Heart Failure Clinics)
Source: Heart Failure Clinics - June 17, 2022 Category: Cardiology Source Type: research
Forthcoming Issues
SGLT-2 Inhibitors (Source: Heart Failure Clinics)
Source: Heart Failure Clinics - June 17, 2022 Category: Cardiology Source Type: research
Clinical Practice Guidelines in Cardio-Oncology
Consensus statements on recommended definitions and practice in cardio-oncology have been developed. There is recognition of the potential for anthracyclines, trastuzumab, pertuzumab, immune checkpoint inhibitors, tyrosine kinase inhibitors, cyclophosphamide, and radiotherapy to cause left ventricular dysfunction and heart failure with heterogeneous natural histories. Cardiac function should be evaluated by echocardiography before the initiation of these therapies. For the prevention of cardiotoxicity, there is evidence to support the use of dexrazoxane under specific circumstances; existing research does not support the u...
Source: Heart Failure Clinics - June 1, 2022 Category: Cardiology Authors: Darryl P. Leong, Daniel J. Lenihan Source Type: research
Intracellular Signaling Pathways Mediating Tyrosine Kinase Inhibitor Cardiotoxicity
Tyrosine kinase inhibitors (TKIs) are used to treat several cancers; however, a myriad of adverse cardiotoxic effects remain a primary concern. Although hypertension (HTN) is the most common adverse effect reported with TKI therapy, incidents of arrhythmias (eg, QT prolongation, atrial fibrillation) and heart failure are also prevalent. These complications warrant further research toward understanding the mechanisms of TKI-induced cardiotoxicity. Recent literature has given some insight into the intracellular signaling pathways that may mediate TKI-induced cardiac dysfunction. In this article, we discuss the cardiotoxic ef...
Source: Heart Failure Clinics - June 1, 2022 Category: Cardiology Authors: Shane S. Scott, Ashley N. Greenlee, Anna Matzko, Matthew Stein, Michael T. Naughton, Taborah Z. Zaramo, Ethan J. Schwendeman, Somayya J. Mohammad, Mamadou Diallo, Rohith Revan, Gabriel Shimmin, Shwetabh Tarun, Joel Ferrall, Thai H. Ho, Sakima A. Smith Source Type: research
Utilizing Artificial Intelligence to Enhance Health Equity Among Patients with Heart Failure
Patients with heart failure (HF) are heterogeneous with various intrapersonal and interpersonal characteristics contributing to clinical outcomes. Bias, structural racism, and social determinants of health have been implicated in unequal treatment of patients with HF. Through several methodologies, artificial intelligence (AI) can provide models in HF prediction, prognostication, and provision of care, which may help prevent unequal outcomes. This review highlights AI as a strategy to address racial inequalities in HF; discusses key AI definitions within a health equity context; describes the current uses of AI in HF, stre...
Source: Heart Failure Clinics - March 25, 2022 Category: Cardiology Authors: Amber E. Johnson, LaPrincess C. Brewer, Melvin R. Echols, Sula Mazimba, Rashmee U. Shah, Khadijah Breathett Source Type: research
Application of 3D Printing Technology in Heart Failure
Advanced imaging is often used to supplement clinical information in guiding management for patients with heart failure. 3 dimensional (3D) imaging datasets allow for a better understanding of the relevant cardiac spatial anatomic relationships. 3D printing technology takes this one step further and allows for the creation of patient-specific physical cardiac models. In this review, we summarize some of the recent innovative applications of this technique to patients with heart failure from different etiologies, to provide more patient-directed care. (Source: Heart Failure Clinics)
Source: Heart Failure Clinics - March 25, 2022 Category: Cardiology Authors: Kanwal M. Farooqi, Jennifer Smerling, Ulrich P. Jorde Source Type: research
Machine Learning in Cardiovascular Imaging
The number of cardiovascular imaging studies is growing exponentially, and so is the demand to improve the efficacy of the imaging workflow. Over the past decade, studies have demonstrated that machine learning (ML) holds promise to revolutionize cardiovascular research and clinical care. ML may improve several aspects of cardiovascular imaging, such as image acquisition, segmentation, image interpretation, diagnostics, therapy planning, and prognostication. In this review, we discuss the most promising applications of ML in cardiovascular imaging and also highlight the several challenges to its widespread implementation i...
Source: Heart Failure Clinics - March 25, 2022 Category: Cardiology Authors: Nobuyuki Kagiyama, M árton Tokodi, Partho P. Sengupta Source Type: research
Artificial Intelligence and Mechanical Circulatory Support
Advances in machine learning algorithms and computing power have fueled a rapid increase in artificial intelligence research in health care, including mechanical circulatory support. In this review, we highlight the needs for artificial intelligence in the mechanical circulatory support field and summarize existing artificial intelligence applications in 3 areas: identifying patients appropriate for mechanical circulatory support therapy, predicting risks after mechanical circulatory support device implantation, and monitoring for adverse events. We address the challenges of incorporating artificial intelligence in daily c...
Source: Heart Failure Clinics - March 25, 2022 Category: Cardiology Authors: Song Li, Gavin W. Hickey, Matthew M. Lander, Manreet K. Kanwar Source Type: research
Utilizing Conversational Artificial Intelligence, Voice, and Phonocardiography Analytics in Heart Failure Care
Conversational artificial intelligence involves the ability of computers, voice-enabled devices to interact intelligently with the user through voice. This can be leveraged in heart failure care delivery, benefiting the patients, providers, and payers, by providing timely access to care, filling the gaps in care, optimizing management, improving quality of care, and reducing cost. Introduction of machine learning to phonocardiography has potential to achieve outstanding diagnostic and prognostic performances in heart failure patients. There is ongoing research to use voice as a biomarker in heart failure patients. If succe...
Source: Heart Failure Clinics - March 25, 2022 Category: Cardiology Authors: Jai Kumar Nahar, Francisco Lopez-Jimenez Source Type: research
Telehealth in Heart Failure
Telehealth presents opportunities for enhanced care and benefits to patients with heart failure. As technology develops, telehealth is increasingly being integrated into the standard care of heart failure. Telehealth can help enhance timely access and follow-up, facilitate care coordination for diagnostic and management strategies, individualize management, increase opportunities for multidisciplinary care, help implement complementary management strategies, and improve outcomes. Telehealth commonly includes clinician-to-clinician communication; patient interaction with mobile health technologies including remote monitorin...
Source: Heart Failure Clinics - March 25, 2022 Category: Cardiology Authors: Savitri Fedson, Biykem Bozkurt Source Type: research
Advances in Machine Learning Approaches to Heart Failure with Preserved Ejection Fraction
Heart failure with preserved ejection fraction (HFpEF) represents a prototypical cardiovascular condition in which machine learning may improve targeted therapies and mechanistic understanding of pathogenesis. Machine learning, which involves algorithms that learn from data, has the potential to guide precision medicine approaches for complex clinical syndromes such as HFpEF. It is therefore important to understand the potential utility and common pitfalls of machine learning so that it can be applied and interpreted appropriately. Although machine learning holds considerable promise for HFpEF, it is subject to several pot...
Source: Heart Failure Clinics - March 25, 2022 Category: Cardiology Authors: Faraz S. Ahmad, Yuan Luo, Ramsey M. Wehbe, James D. Thomas, Sanjiv J. Shah Source Type: research
Framework for Digital Health Phenotypes in Heart Failure
Consider these 2 scenarios: Two individuals with heart failure (HF) have recently established with your clinic and followed for medical management and risk stratification. One is a 62-year-old man with nonischemic cardiomyopathy due to viral myocarditis, an ejection fraction (EF) of 40%, occasional rate-limiting dyspnea, and comorbidities of atrial fibrillation and hypertension. The other is a 75-year-old woman with ischemic cardiomyopathy, an EF of 35%, a prior hospitalization 6 months ago, and persistent symptoms of edema and orthopnea. Both have expressed interest in remote patient monitoring (RPM) with wearable and dig...
Source: Heart Failure Clinics - March 25, 2022 Category: Cardiology Authors: Rola Khedraki, Ajay V. Srivastava, Sanjeev P. Bhavnani Source Type: research
Electronic Health Records and Heart Failure
Increasing the global adoption of electronic health records (EHRs) is transforming the delivery of clinical care. EHRs offer tools that are useful in the care of heart failure ranging from individualized risk stratification and decision support to population management. EHR tools can be combined to target specific areas of need such as the standardization of care, improved quality of care, and resource management. Leveraging EHR functionality has been shown to improve select outcomes including guideline-based therapies, reduction in adverse clinical outcomes, and improved cost-efficiency. Central to success is participatio...
Source: Heart Failure Clinics - March 25, 2022 Category: Cardiology Authors: David P. Kao Source Type: research
Digital Health
HEART FAILURE CLINICS (Source: Heart Failure Clinics)
Source: Heart Failure Clinics - March 25, 2022 Category: Cardiology Authors: Dipti Itchhaporia, Ragavendra R. Baliga Source Type: research
