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Mashup Score: 1Predicting Heart Failure With Reduced or Preserved Ejection Fraction From Health Records: External Validation Study - 12 month(s) ago
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…
Source: www.sciencedirect.comCategories: Cardiologists, Latest HeadlinesTweet
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Mashup Score: 0
Libin Cardiovascular Institute hosts cardiovascular researcher Paul Armstrong on Research Day April 24
Source: NewsCategories: Cardiologists, Latest HeadlinesTweet
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Mashup Score: 0
We sought to determine the role of donor blood circulating leukocytes in mediating oxidative stress and inflammation during normothermic ex situ heart perfusion (ESHP). Normothermic ESHP allows preservation of donated heart in a perfused, dynamic state, preventing ischemia. However, the cardiac function declines during ESHP, limiting the potential of this method for improvement of the outcomes of…
Categories: Cardiologists, Latest HeadlinesTweet
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Mashup Score: 1Strategic Reperfusion Early After Myocardial Infarction - American College of Cardiology - 1 year(s) ago
Dharam J. Kumbhani, MD, SM, FACC
Source: American College of CardiologyCategories: Cardiologists, Latest HeadlinesTweet
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Mashup Score: 1Development and validation of echocardiography-based machine-learning models to predict mortality - 1 year(s) ago
Echocardiography (echo) based machine learning (ML) models may be useful in identifying patients at high-risk of all-cause mortality.We developed ML m…
Source: www.sciencedirect.comCategories: Cardiologists, Latest HeadlinesTweet-
In a recent @eBioMedicine paper, we showed significantly better predictive performance of ResNet #DeepLearning of #EchoFirst videos (AUCs 82%, 82%, & 78%) than CatBoost #MachineLearning models of echo measurements in predicting 1-y, 3-y, & 5-year death https://t.co/K0gQBVryzj https://t.co/Gwxb70HHg1
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Mashup Score: 1Time to triple therapy in patients with de novo heart failure with reduced ejection fraction: a population-based study - 1 year(s) ago
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…
Source: Journal of Cardiac FailureCategories: Cardiologists, Latest HeadlinesTweet
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Mashup Score: 1Towards artificial intelligence-based learning health system for population-level mortality prediction using electrocardiograms - 1 year(s) ago
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…
Source: www.nature.comCategories: Cardiologists, Latest HeadlinesTweet
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Mashup Score: 0
We sought to determine the role of donor blood circulating leukocytes in mediating oxidative stress and inflammation during normothermic ex-situ heart…
Source: www.sciencedirect.comCategories: Cardiologists, Latest HeadlinesTweet
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Mashup Score: 0
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.
Source: NatureCategories: Cardiologists, Latest HeadlinesTweet
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Mashup Score: 2Use of Guideline-Directed Medical Therapy in Patients Aged ≥ 65 Years After the Diagnosis of Heart Failure: A Canadian Population-Based Study - 1 year(s) ago
Guideline-directed medical therapy (GDMT) improves clinical outcomes in patients with heart failure with reduced ejection fraction (HFrEF). Despite its proven efficacy, GDMT is underutilized in clinical practice. The current study examines GDMT utilization after incident hospitalization for HF to promote medication initiation, and titration to target dosing within a reasonable time period.
Source: CJC OpenCategories: Cardiologists, Latest HeadlinesTweet
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