Clinical Risk Prediction of Acute Coronary Syndrome Using Deep Learning Approach

2020 ◽  
pp. 207-217
Author(s):  
Swati Suchak ◽  
Uttara Gogate
Keyword(s):  
Acute Coronary Syndrome ◽  
Deep Learning ◽  
Risk Prediction ◽  
Learning Approach ◽  
Coronary Syndrome ◽  
Clinical Risk

scholarly journals A New Approach for Interpretability and Reliability in Clinical Risk Prediction: Acute Coronary Syndrome Scenario

2021 ◽  
pp. 102113
Author(s):  
Francisco Valente ◽  
Jorge Henriques ◽  
Simão Paredes ◽  
Teresa Rocha ◽  
Paulo de Carvalho ◽  
...  
Keyword(s):  
Acute Coronary Syndrome ◽  
Risk Prediction ◽  
New Approach ◽  
Coronary Syndrome ◽  
Clinical Risk

Prognostic usefulness of an age-adapted equation for renal function assessment in older patients with acute coronary syndrome

2017 ◽  
Vol 7 (8) ◽  
pp. 703-709 ◽  
Author(s):  
Lucía Rioboo Lestón ◽  
Emad Abu-Assi ◽  
Sergio Raposeiras-Roubin ◽  
Rafael Cobas-Paz ◽  
Berenice Caneiro-Queija ◽  
...  
Keyword(s):  
Acute Coronary Syndrome ◽  
Glomerular Filtration Rate ◽  
Glomerular Filtration ◽  
Risk Prediction ◽  
Older Patients ◽  
Filtration Rate ◽  
Estimated Glomerular Filtration Rate ◽  
Coronary Syndrome ◽  
Function Assessment

Background: Renal dysfunction negatively impacts survival in acute coronary syndrome patients. The Berlin Initiative Study creatinine-based (BIScrea) equation has recently been proposed for renal function assessment in older persons. However, up to now it is unknown if the superiority of the new BIScrea equation, with respect to the most recommended chronic kidney disease epidemiology collaboration creatinine-based (CKD-EPIcrea) formula, would translate into better risk prediction of adverse events in older patients with acute coronary syndrome. Objectives: To study the impact of using estimated glomerular filtration rate calculated according to the BIScrea and CKD-EPIcrea equations on mortality in acute coronary syndrome patients aged 70 years and over. Methods: Retrospectively, between 2011 and 2016, a total of 2008 patients with acute coronary syndrome (64% men; age 79±7 years) were studied. Follow-up was 18±10 months. Measures of performance were evaluated using continuous data and stratifying patients into three estimated glomerular filtration rate subgroups: ≥60, 59.9–30 and <30 mL/min/1.73 m2. Results: The two formulas afforded independent prognostic information over follow-up. However, risk prediction was most accurate using the BIScrea formula as evaluated by Cox proportional hazards models (hazard ratio (for each 10 mL/min/1.73 m2 decrease) 1.47 vs. 1.27 with the CKD-EPI equation; P<0.001 for comparison), c-statistic values (0.69 vs. 0.65, respectively; P=0.04 for comparison) and Bayesian information criterion. Net reclassification improvement based on the estimated glomerular filtration rate categories significantly favoured BIScrea +9 (95% confidence interval 2–16%; P=0.02). Conclusions: Our findings suggest that the BIScrea formula may improve death risk prediction more than the CKD-EPIcrea formula in older patients with acute coronary syndrome.

Risk-Prediction Model for Ischemic Stroke in Patients Hospitalized With an Acute Coronary Syndrome (from the Global Registry of Acute Coronary Events [GRACE])

2012 ◽  
Vol 110 (5) ◽  
pp. 628-635 ◽  
Author(s):  
Kay Lee Park ◽  
Andrzej Budaj ◽  
Robert J. Goldberg ◽  
Frederick A. Anderson ◽  
Giancarlo Agnelli ◽  
...  
Keyword(s):  
Acute Coronary Syndrome ◽  
Ischemic Stroke ◽  
Prediction Model ◽  
Risk Prediction ◽  
Risk Prediction Model ◽  
Coronary Syndrome ◽  
Coronary Events ◽  
Global Registry

scholarly journals P4650Ischemic and bleeding risk prediction in Acute Coronary Syndrome - The search for an almighty risk score

2017 ◽  
Vol 38 (suppl_1) ◽  
Author(s):  
M. Coutinho Cruz ◽  
A.T. Timoteo ◽  
R. Ilhao Moreira ◽  
S. Aguiar Rosa ◽  
L. Ferreira ◽  
...  
Keyword(s):  
Acute Coronary Syndrome ◽  
Risk Prediction ◽  
Risk Score ◽  
Bleeding Risk ◽  
Coronary Syndrome

scholarly journals D-Dimer for Long-Term Risk Prediction in Patients After Acute Coronary Syndrome

Circulation ◽  
2018 ◽  
Vol 138 (7) ◽  
pp. 724-726 ◽  
Author(s):  
Paul A. Kyrle ◽  
Sabine Eichinger
Keyword(s):  
Acute Coronary Syndrome ◽  
Risk Prediction ◽  
Coronary Syndrome ◽  
D Dimer
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