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Frontiers | Adherence to plant-based diet and risk of heart failure among middle-aged and older population BackgroundPlant-based diets have been demonstrated to be associated with lower risk of several chronic diseases. However, a comprehensive assessment of plant...

New: "A higher intake of healthful plant-based diets was associated with a lower risk of HF, while follow unhealthful plant-based diet was linked to a higher overall HF risk." #plantbased #cardiology #cardiosky #medsky #heartfailure
www.frontiersin.org/journals/nut...

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Digital Literacy and Heart Failure Self-Care in Older Patients and Their Caregivers: Dyadic Analysis Using the Actor-Partner Interdependence Model Background: The population of patients with heart failure (HF) is rapidly aging, and the prevalence of HF continues to rise among older adults. Effective HF self-care is essential for improving survival and reducing hospital readmissions, and the role of family caregivers in supporting and reinforcing these behaviors has become increasingly important. With the growing integration of digital health technologies into HF management, technology-assisted self-care is becoming more common. However, many older adults experience difficulties in adopting and effectively using digital tools, which may limit the potential benefits of digital health interventions. As both patients’ and caregivers’ levels of digital literacy may jointly shape HF self-care behaviors, a dyadic analytic approach is warranted to clarify their interdependent effects. Objective: This study aimed to compare digital literacy between older patients with HF and their caregivers and to examine how digital literacy influences HF self-care behaviors within patient-caregiver dyads. Methods: This cross-sectional study included 102 patients with HF–caregiver dyads recruited from outpatient clinics in South Korea. Digital literacy was measured using the Everyday Digital Literacy Questionnaire. HF self-care, encompassing 3 key dimensions—self-care maintenance, symptom perception, and self-care management—was assessed using the Self-Care of Heart Failure Index (version 7.2) for patients and the Caregiver Contribution to Self-Care of Heart Failure Index (version 2.0) for caregivers. Dyadic associations were analyzed using the Actor-Partner Interdependence Model with maximum likelihood estimation. Results: Patients (age: mean 79.4, SD 9.1 years) had significantly lower digital literacy than caregivers (age: mean 59.0, SD 13.1 years). Caregivers primarily consisted of adult children (63/102, 61.8%), followed by spouses (33/102, 32.4%). The Actor-Partner Interdependence Model results revealed significant actor effects of digital literacy on symptom perception for both patients (β=0.26; P=.008) and caregivers (β=0.32; P=.002). For self-care management, a significant actor effect was observed only for patients (β=0.24; P=.02). No significant actor effects were found for self-care maintenance, and no partner effects reached statistical significance across any dimension. Conclusions: Digital literacy significantly influenced individuals’ own HF self-care behaviors, particularly symptom perception, but cross-partner effects were not observed within dyads. These findings suggest that digital health interventions should assess and address patients’ and caregivers’ digital skills as distinct targets rather than assuming spillover effects within dyads. To optimize HF outcomes in aging populations, culturally sensitive and dyad-focused strategies that consider individual digital literacy are essential.

New in JMIR Aging: Digital Literacy and Heart Failure Self-Care in Older Patients and Their Caregivers: Dyadic Analysis Using the Actor-Partner Interdependence Model #DigitalLiteracy #HeartFailure #SelfCare #OlderAdults #Caregivers

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From predictive analytics to clinical decision support, AI is rapidly influencing heart failure management.

Submit your research to JCF’s upcoming Focus Issue:
Artificial Intelligence and Heart Failure: A Critical Juncture

🗓️ Due May 10, 2026

https://bit.ly/4kJl5gf

#HeartFailure #AIinHealthcare

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JAMA Cardiology presents an RCT on conduction system vs biventricular pacing in heart failure. Population: 87 men, 86 women. Intervention: 173 participants. Findings include all-cause death, HF hospitalization, and LVEF increase rates.

JAMA Cardiology presents an RCT on conduction system vs biventricular pacing in heart failure. Population: 87 men, 86 women. Intervention: 173 participants. Findings include all-cause death, HF hospitalization, and LVEF increase rates.

In patients with #HeartFailure and #LBBB, conduction system pacing (#CSP) was inferior to biventricular pacing (#BiVP) for a composite of death, heart failure events, and LVEF change at 12 months.

ja.ma/4unqX35

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#CRISPR, mitochondria, and #HeartFailure recovery.

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Enhancing KLF15 expression in cardiomyocytes via a dCas9VPR-mediated transcriptional activation system prevents pathological remodeling and #Fibrosis, thereby establishing it as a critical regulator and #TherapeuticTarget in #HeartFailure.

#STTT #OpenAccess: doi.org/10.1038/s413...

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I'm only meant to be going physical activity in very short amounts so I figured I'd do one song and see how I felt. Put on shuffle, got to cleaning the bathroom.

Didn't realise it was Sing Sing Sing. I nearly died... #HeartFailure

(It's 12 minutes.)

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🚨 Final Program Released | ICCCD 2026
6th International Conference on Cardiology & Cardiovascular Diseases (ICCCD 2026)
📍Rome, Italy from April 06–08, 2026
📩 Submit Your Abstract: cardiomeetings.com/submit-abstr...

#cardioimaging #heartfailure #vascularhealth #vascularmedicine

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Canagliflozin attenuates CMR-quantified myocardial fibrosis in individuals with type 2 diabetes mellitus at high cardiovascular risk: a randomised open-label controlled trial - Diabetologia Aims/hypothesis We aimed to investigate canagliflozin’s effects on myocardial fibrosis, cardiac structure and function, and microcirculation in high-cardiovascular-risk type 2 diabetes mellitus throug...

Novel RCT: Canagliflozin reduces myocardial fibrosis (by CMR) in high-risk #T2DM, providing imaging evidence for its cardioprotection. A mechanism beyond glycaemic management. #SGLT2i #CardioDiabetes #HeartFailure #DiabetesResearch link.springer.com/article/10.1... 🔓

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Explore the programme and modules here:

www.pchfonline.uk

#Cardiology #HeartFailure #MedicalEducation

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That’s a wrap on #THT2026! 🎉 A huge thank you to everyone who joined us. Here’s to another year of discoveries, breakthroughs, and connections. 🙌

Together we’re advancing science and improving outcomes for people living with #heartfailure around the world. See you next year! 🌐🫀

#CardioSky

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Read our latest issue: https://bit.ly/4l3G51a

#Gonorrhea #EosinophilicAsthma #LupusNephritis #HeartFailure #AML

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We have a new paper out now! 📝 Here we looked at continuous vs pulsatile flow for VA ECMO and how it impacts flow dynamics in the aorta.

www.sciencedirect.com/science/arti...

#HeartFailure #Cardiovascular #ECMO #CFD

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Albert Sabin

Albert Sabin

On 3 March 1993: #AlbertSabin, Polish American #physician who invented the oral polio vaccine, died of #heartfailure at 86.
#RIP 🕯️

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Common Supplement Shows a Concerning Link to Heart Failure Research into a popular sleeping aid has some scientists worried about long-term usage.

Common #Supplement Shows a Concerning Link to #HeartFailure

www.sciencealert.com/common-suppl...

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Remembering Karen Carpenter, born March 2, 1950 and passed away February 4, 1983.

Full Post
www.facebook.com/photo/?fbid=...

. #TodayInNerdHistory #March2 #KarenCarpenter #TheCarpenters #Anorexia #Carpenters #AnorexiaNervosa #HeartFailure #Birthday #History #News #OTD #FYP #Nerd .

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🫀 Heart Attack = Blood flow blocked
⚡ Cardiac Arrest = Heart stops beating
💔 Heart Failure = Weak pumping function
Awareness is prevention.#HeartHealth
#CardiacArrest
#HeartAttackAwareness
#HeartFailure
#KnowTheDifference
#HealthEducation
#EmergencyAwareness
#SaveALife

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I do not statistically think he will live into his 90s. Or even late 80s. Usually #heartfailure #renalfailure and other things come home to roost. It is A LOT of work and close #medical follow-up to keep yourself healthy in 80s and 90s which I've seen no demonstration of in public.

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✨ Be inspired by a story of vision, determination, and innovation. Join Apoorva Mehta at the #THT2026 Opening Session as he shares his mission to transform #heartfailure treatment and redefine what’s possible in patient care. https://ow.ly/yUnk50YkyWA

#CardioSky #MedSky

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🚨 Don’t miss this chance to be part of a transformative cardiovascular experience!
6th International Conference on Cardiology & Cardiovascular Diseases
📅April 06–08, 2026 |
📍Rome, Italy
👉 website: cardiomeetings.com

#cardioimaging #heartfailure #vascularhealth

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Retrieval-Augmented Generation for Medical Question Answering on a Heart Failure Dataset: Performance Analysis Background: The integration of retrieval-augmented generation (RAG) systems into the domain of medical question-answering (QA) presents a significant opportunity to enhance the effectiveness and accuracy of clinical support systems. Objective: This study aimed to explore the design choices within the RAG framework and the use of large language model (LLM) classifiers to optimize medical QA systems, enhancing response quality for patient and caregiver queries of varying risk levels. Methods: In total, we curated a dataset of 109 patient and caregiver questions related to heart failure (HF)—categorized into answerable (direct, fact-based queries), helpful deferral (general guidance or lifestyle advisory queries), and nonanswerable (out-of-scope or high-risk and medical intervention queries) types—along with relevant documents and a target answer for each question from the website . Applying a system architecture leveraging RAG with a structured query taxonomy and robust classification mechanisms, this paper provided an empirical assessment for medical QA on a HF dataset and introduced a QA system pipeline design, providing a foundation for extended application across various medical fields. Specifically, we evaluated design choices in the initial retrieval stage of RAG and their impact on performance. We assessed final answer quality from the generation stage using popular passage scoring methods for QA, such as Recall-Oriented Understudy for Gisting Evaluation (ROUGE), BERTScore, and Intersection over Union score. Results: The pipeline first uses an LLM-based classifier, achieving 65% accuracy for answerable and helpful deferral queries and 100% accuracy for identifying nonanswerable queries. In information retrieval, the BioMedical Contrastive Pre-trained Transformers (MedCPT) cross encoder performed best as a dense retrieval method, delivering an average of 93% recall @ 7 through ranked relevance scores to obtain the top documents with recall @ k denoting recall computed over the top-k retrieved items. For further retrieving snippets from such documents, its average performance was 72.5% for sentence-level snippets and 83% for paragraph-level snippets. A second LLM-based classifier, used to refine the generated responses, resulted in an overall reduction in ROUGE-1 recall by 13% and Bidirectional Encoder Representations from Transformers (BERT) precision by 11%. However, Intersection over Union scores, or the overlap between “gold answers” and system answers, increased by 24%, demonstrating enhanced alignment with ground truth responses. This also indicates the system’s improved ability to generate concise and accurate medical responses. Conclusions: The implementation of a structured RAG framework paired with LLM classifiers for medical QA introduces a promising avenue for enhancing clinical decision support systems. By systematically analyzing the impact of query taxonomy, retrieval configurations, and response strategies, this approach clarifies the relative importance of each component within the medical RAG system using a HF dataset. Our findings provide actionable guidance on optimal design choices for maximizing retrieval and response accuracy; thus, informing the development of robust, scalable medical QA systems.

JMIR Formative Res: Retrieval-Augmented Generation for Medical Question Answering on a Heart Failure Dataset: Performance Analysis #MedicalAI #HeartFailure #DigitalHealth #HealthTech #ArtificialIntelligence

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We’re just days away from bringing the #HeartFailure community together in Boston for #THT2026!

Secure your spot now! https://ow.ly/2lEc50Ymblk

Get started a day early at the all-new, FREE Hands-On Training Day on March 1 and master life-saving devices 👉 https://ow.ly/y1QE50Ymblp

#CardioSky

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Hyponatraemia in heart failure: a mechanistic approach to contemporary management Hyponatremia in heart failure reflects specific pathophysiological mechanisms that demand targeted intervention alongside standard decongestion strategies. This review outlines a phenotype-informed…

#Hyponatremia in HF reflects specific pathophysiological mechanisms that demand targeted intervention alongside standard decongestion strategies.

This review outlines a phenotype-informed management framework to support effective care.

👉 buff.ly/23JR0Ze

#CardioSky #HeartFailure

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Frontiers | Adherence to plant-based diet and risk of heart failure among middle-aged and older population BackgroundPlant-based diets have been demonstrated to be associated with lower risk of several chronic diseases. However, a comprehensive assessment of plant...

Well-planned #plantbased diets link to lower risk of #heartfailure, while less healthy plant-based #diets link to higher risk—findings of a prospective study (190k participants, ~13 y follow-up) that are also in line with dietary guidelines: doi.org/10.3389/fnut... #Nutrition #Health #HeartHealth

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Ready for the next big breakthrough? 🚀 Explore the science transforming #HeartFailure care at #THT2026!

📊 Late Breaking Clinical Science: https://ow.ly/vvL950YlykQ
💡 First in Man / Early Feasibility Studies: https://ow.ly/L96f50YlykM

#CardioSky

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CVrg will be on the ground in New Orleans covering key sessions at ACC 2026.

Conference Coverage details: cv-rg.com/conferences/

#ACC26 #Cardiology #HeartFailure #ClinicalTrials #HFPEF #oHCM #pulmonaryhypertension #CVrg

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📢NEW: February issue now online featuring #Sepsis, #ColonCancer, #HIV, #PalliativeCare, #Autism, #TB, #HeartFailure, and much more with our editorial on social media bans for young people

…all available #OpenAccess❗️

Read more here: www.thelancet.com/issue/S2589-...

Attribution: Getty

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https://www.sciencedirect.com/science/article/pii/S2352721825002815

https://www.sciencedirect.com/science/article/pii/S2352721825002815

This study demonstrates that #insomnia significantly increases heart failure risk through multiple molecular pathways, which primarily involve inflammatory responses and complement cascade activation. Sleep quality optimization may provide additional benefits in the prevention of #heartfailure.

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"I am proud to be leading this work because it addresses questions the wider cardiology and echocardiography communities are actively asking, creating an important opportunity for the BSE to lead evidence generation in an area that is rapidly evolving." - Maria Paton

"I am proud to be leading this work because it addresses questions the wider cardiology and echocardiography communities are actively asking, creating an important opportunity for the BSE to lead evidence generation in an area that is rapidly evolving." - Maria Paton

We're pleased to support the development of #SCAN-EF, a research project to explore if AI-enabled handheld cardiac ultrasound can help improve the early diagnosis of #HeartFailure

#cardiosky #echosky

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Don’t miss this opportunity to receive 50% off on your registration.
The 6th International Conference on Cardiology & Cardiovascular Diseases
📅April 06–08, 2026 |
📍Rome, Italy
📍 Venue: Rome, Italy
🌐 cardiomeetings.com

#heartrhythm #cardioimaging #heartfailure

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