Changes in nonlinear dynamic complexity measures of blood pressure during anesthesia for cardiac surgeries using cardio pulmonary bypass

2019 ◽  
Vol 34 (4) ◽  
pp. 663-674 ◽  
Author(s):  
Valluvan Rangasamy ◽  
Teresa S. Henriques ◽  
Pooja A. Mathur ◽  
Roger B. Davis ◽  
Murray A. Mittleman ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Nonlinear Dynamic ◽  
Dynamic Complexity ◽  
Complexity Measures ◽  
Cardio Pulmonary Bypass ◽  
Pulmonary Bypass

Protective Effects of Pulsatile Flow during Cardio-Pulmonary Bypass

2016 ◽  
Vol 64 (S 02) ◽  
Author(s):  
A. Salameh ◽  
L. Kuehne ◽  
M. Grassl ◽  
M. Gerdom ◽  
S. von Salisch ◽  
...  
Keyword(s):  
Pulsatile Flow ◽  
Protective Effects ◽  
Cardio Pulmonary Bypass ◽  
Pulmonary Bypass

Dynamic Complexity Measures for Use in Complexity-Based System Design

2017 ◽  
Vol 11 (4) ◽  
pp. 2018-2027 ◽  
Author(s):  
Jonathan Fischi ◽  
Roshanak Nilchiani ◽  
Jon Wade
Keyword(s):  
System Design ◽  
Dynamic Complexity ◽  
Complexity Measures

Prognostic Value of GDF-15 in Predicting Prolonged Intensive Care Stay following Cardiac Surgery: A Retrospective Case-Control Study

2021 ◽  
Author(s):  
Henry Barton ◽  
Elisabeth Zechendorf ◽  
Dirk Ostareck ◽  
Antje Ostareck-Lederer ◽  
Christian Stoppe ◽  
...  
Keyword(s):  
Cardiac Surgery ◽  
Intensive Care ◽  
Confidence Interval ◽  
Prediction Models ◽  
Unit Length ◽  
Icu Stay ◽  
Intensive Care Stay ◽  
Cardio Pulmonary Bypass ◽  
Prolonged Icu Stay ◽  
Pulmonary Bypass

Abstract Background: Predicting intensive care unit length of stay and outcome following cardiac surgery is currently based on clinical parameters. Novel biomarkers could be employed to improve the prediction models. Methods: We performed a qualitative cytokine screening array to identify highly expressed biomarkers in preoperative blood samples of cardiac surgery patients. After identification of one highly expressed biomarker, growth differentiation factor 15 (GDF-15), a quantitative ELISA was undertaken. Preoperative levels of GDF-15 were compared in regard to duration of intensive care stay, cardio-pulmonary bypass time and indicators of organ dysfunction.Results: Preoperatively, GDF-15 was highly expressed in addition to several less highly expressed other biomarkers. After qualitative analysis we could show that preoperatively raised levels of GDF-15 was positively associated with prolonged ICU stay exceeding 48 h (median 713 versus 1041 pg/ml, p = 0.003). It was also associated with prolonged mechanical ventilation and rates of severe sepsis but not with dialysis rates or cardio-pulmonary bypass time. In univariate regression, raised GDF-15 levels were predictive of a prolonged ICU stay (OR 1.01, 95% Confidence Interval 1 – 1.02, p= 0.029). On ROC curves, GDF-15 was found to predict prolonged ICU stay (AUC= 0.86, 95% Confidence Interval 0.71 – 0.99, p= 0.003).Conclusion: GDF-15 showed potential as predictor of prolonged intensive care stay following cardiac surgery, which might be valuable for risk stratification models.

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