Kidney and heart failure outcomes associated with SGLT2 inhibitor use

AB van der Aart-van der Beek, RA de Boer… - Nature Reviews …, 2022 - nature.com
Chronic kidney disease (CKD) and heart failure affect many people worldwide. Despite the
availability of pharmacological treatments, both diseases remain associated with …

Contributory risk and management of comorbidities of hypertension, obesity, diabetes mellitus, hyperlipidemia, and metabolic syndrome in chronic heart failure: a …

B Bozkurt, D Aguilar, A Deswal, SB Dunbar… - Circulation, 2016 - Am Heart Assoc
Elevated levels of diastolic BP and especially systolic BP (SBP) are major risk factors for the
development of HF. 18, 19 One of the most impactful observations from the Framingham …

[HTML][HTML] Diretrizes brasileiras de hipertensão arterial–2020

WKS Barroso, CIS Rodrigues, LA Bortolotto… - Arquivos brasileiros de …, 2021 - SciELO Brasil
A hipertensão arterial (HA) é uma doença crônica não transmissível (DCNT) definida por
níveis pressóricos, em que os benefícios do tratamento (não medicamentoso e/ou …

Brazilian guidelines of hypertension–2020

WKS Barroso, CIS Rodrigues, LA Bortolotto… - Arquivos brasileiros de …, 2021 - SciELO Brasil
SciELO - Brasil - Diretrizes Brasileiras de Hipertensão Arterial – 2020 Diretrizes Brasileiras de
Hipertensão Arterial – 2020 Acessibilidade / Reportar erro Brasil Lista alfabética de periódicos …

Using recurrent neural network models for early detection of heart failure onset

E Choi, A Schuetz, WF Stewart… - Journal of the American …, 2017 - academic.oup.com
Objective: We explored whether use of deep learning to model temporal relations among
events in electronic health records (EHRs) would improve model performance in predicting …

Hitanet: Hierarchical time-aware attention networks for risk prediction on electronic health records

J Luo, M Ye, C Xiao, F Ma - Proceedings of the 26th ACM SIGKDD …, 2020 - dl.acm.org
Deep learning methods especially recurrent neural network based models have
demonstrated early success in disease risk prediction on longitudinal patient data. Existing …

V Diretriz da Sociedade Brasileira de Cardiologia sobre tratamento do infarto agudo do miocárdio com supradesnível do segmento ST

LS Piegas, A Timerman, GS Feitosa… - Arquivos brasileiros de …, 2015 - SciELO Brasil
Material de distribuição exclusiva à classe médica. Os Arquivos Brasileiros de Cardiologia
não se responsabilizam pelo acesso indevido a seu conteúdo e que contrarie a …

Irbesartan in patients with heart failure and preserved ejection fraction

BM Massie, PE Carson, JJ McMurray… - … England Journal of …, 2008 - Mass Medical Soc
Background Approximately 50% of patients with heart failure have a left ventricular ejection
fraction of at least 45%, but no therapies have been shown to improve the outcome of these …

Retracted article: LSTM model for prediction of heart failure in big data

G Maragatham, S Devi - Journal of medical systems, 2019 - Springer
The combination of big data and deep learning is a world-shattering technology that can
make a great impact on any industry if used in a proper way. With the availability of large …

Pre-clinical diastolic dysfunction

SH Wan, MW Vogel, HH Chen - Journal of the American College of …, 2014 - jacc.org
Pre-clinical diastolic dysfunction (PDD) has been broadly defined as left ventricular diastolic
dysfunction without the diagnosis of congestive heart failure (HF) and with normal systolic …