Preoperative NTproBNP levels predict prolonged intensive care unit stay in CABG patients with reduced left ventricular ejection fraction

2007 ◽  
Vol 24 (Supplement 41) ◽  
pp. 20-21
Author(s):  
M. Heringlake ◽  
H. Heinze ◽  
T. Hanke ◽  
M. Massalme ◽  
F. Eberhard ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Left Ventricular Ejection Fraction ◽  
Ejection Fraction ◽  
Intensive Care Unit Stay ◽  
Left Ventricular ◽  
Ventricular Ejection ◽  
Left Ventricular Ejection ◽  
Ventricular Ejection Fraction ◽  
Cabg Patients

scholarly journals Hyperdynamic left ventricular ejection fraction in the intensive care unit

Critical Care ◽  
2015 ◽  
Vol 19 (1) ◽  
Author(s):  
Joseph R. Paonessa ◽  
Thomas Brennan ◽  
Marco Pimentel ◽  
Daniel Steinhaus ◽  
Mengling Feng ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Left Ventricular Ejection Fraction ◽  
Ejection Fraction ◽  
Left Ventricular ◽  
Ventricular Ejection ◽  
Left Ventricular Ejection ◽  
Ventricular Ejection Fraction

scholarly journals Fuzzy Modeling to Predict Severely Depressed Left Ventricular Ejection Fraction following Admission to the Intensive Care Unit Using Clinical Physiology

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Rúben Duarte M. A. Pereira ◽  
Cátia M. Salgado ◽  
Andre Dejam ◽  
Shane R. Reti ◽  
Susana M. Vieira ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Left Ventricular Ejection Fraction ◽  
Ejection Fraction ◽  
Fuzzy Model ◽  
Predictive Performance ◽  
Left Ventricular ◽  
Ventricular Ejection ◽  
Left Ventricular Ejection ◽  
Ventricular Ejection Fraction

Left ventricular ejection fraction (LVEF) constitutes an important physiological parameter for the assessment of cardiac function, particularly in the settings of coronary artery disease and heart failure. This study explores the use of routinely and easily acquired variables in the intensive care unit (ICU) to predict severely depressed LVEF following ICU admission. A retrospective study was conducted. We extracted clinical physiological variables derived from ICU monitoring and available within the MIMIC II database and developed a fuzzy model using sequential feature selection and compared it with the conventional logistic regression (LR) model. Maximum predictive performance was observed using easily acquired ICU variables within 6 hours after admission and satisfactory predictive performance was achieved using variables acquired as early as one hour after admission. The fuzzy model is able to predict LVEF ≤ 25% with an AUC of 0.71 ± 0.07, outperforming the LR model, with an AUC of 0.67 ± 0.07. To the best of the authors’ knowledge, this is the first study predicting severely impaired LVEF using multivariate analysis of routinely collected data in the ICU. We recommend inclusion of these findings into triaged management plans that balance urgency with resources and clinical status, particularly for reducing the time of echocardiographic examination.

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