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    Author links open overlay panel, , , , , , , , , References (4)A. Ghimire et al.Frequency, predictors, and prognosis of ejection fraction improvement in heart failure: an echocardiogram-based registry studyEur Heart J(2019)A. Uijl et al.A registry-based algorithm to predict ejection fraction in patients with heart failureESC Heart Fail(2020)There are more references available in the full text…

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    • In an external validation study of existing #HeartFailure subtype prediction models, #Desai & simplified #Uijl models correctly classified 94.6% & 75.6% of pts with #HFpEF, respectively, & generated respective c-index of 0.71 & 0.68 for detecting #HFpEF https://t.co/3bqr3T4GbC https://t.co/kCKclYDJLH

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    Heart failure (HF) is a major public health problem, with frequent emergency department (ED) visits, hospital admissions and a 5-year survival rate of approximately 50% [1]. With the advent of novel therapies such as angiotensin receptor-neprilysin inhibitors (ARNI), and sodium-glucose co-transporter 2 inhibitors (SGLT2i), quadruple therapy is now recommended by practice guidelines in treating…

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    • 🔥 off the Press #TripleTx under-used in practice, despite recent recommendations re #QuadrupleTx in pts with #HFrEF. 1/5th received 3 #GDMT classes in 1y after #HeartFailure Dx. #TripleTx assoc. with better outcomes #TimeToTripleTx new quality metric https://t.co/x4LYM722yw https://t.co/KCV6oZ2NaJ

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    The feasibility and value of linking electrocardiogram (ECG) data to longitudinal population-level administrative health data to facilitate the development of a learning healthcare system has not been fully explored. We developed ECG-based machine learning models to predict risk of mortality among patients presenting to an emergency department or hospital for any reason. Using the 12-lead ECG…

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    • #ECG still has a lot to offer in patient care, esp. when combined with novel analytical tools such as #ArtificialIntelligence Honored to be a part of this team studying #AIML-augmented #ECG-based 🪦 prediction @Padma_Kaul @CVC_UAlberta #MachineLearning https://t.co/qmf8PVzXyh https://t.co/mEGifAT96y

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    Nature Medicine asks leading researchers to name their top clinical trial for 2023, from cervical and prostate cancer screening to new drugs for Parkinson’s disease and Alzheimer’s disease.

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    • #PREDIMED recommended #MediterraneanDiet for 1º prevention & #CORDIOPREV supported it for 2º prevention in coronary🫀disease; Awaiting #PREDIMED_PLUS in 2023 re effects of #MediterraneanDiet on weight loss & reducing CV outcomes in overweight/obese adults https://t.co/2i9ziLshfl