Outcome of Patients after Cardiac Surgery Transferred to Other Hospitals Following Prolonged Intensive Care Stay

2002 ◽  
Vol 50 (6) ◽  
pp. 329-332 ◽  
Author(s):  
I. M. Stöhr ◽  
J. M. Albes ◽  
U. Franke ◽  
J. Wippermann ◽  
T. U. Cohnert ◽  
...  
Keyword(s):  
Cardiac Surgery ◽  
Intensive Care ◽  
Intensive Care Stay

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.

scholarly journals Intraoperative base excess and carbon dioxide gap predict length of intensive care stay after cardiac surgery

Critical Care ◽  
2008 ◽  
Vol 12 (Suppl 2) ◽  
pp. P450
Author(s):  
L Hajjar ◽  
F Galas ◽  
F Maeda ◽  
T Yamaguti ◽  
A Roquim ◽  
...  
Keyword(s):  
Carbon Dioxide ◽  
Cardiac Surgery ◽  
Intensive Care ◽  
Base Excess ◽  
Intensive Care Stay

scholarly journals Tissue oxygen saturation during anaesthesia, cardiopulmonary bypass and intensive care stay for cardiac surgery

Critical Care ◽  
2008 ◽  
Vol 12 (Suppl 2) ◽  
pp. P71
Author(s):  
J Sanders ◽  
D Martin ◽  
A Smith ◽  
B Keogh ◽  
M Mutch ◽  
...  
Keyword(s):  
Cardiac Surgery ◽  
Intensive Care ◽  
Cardiopulmonary Bypass ◽  
Oxygen Saturation ◽  
Tissue Oxygen Saturation ◽  
Tissue Oxygen ◽  
Intensive Care Stay

Survival, Functional Capacity, and Quality of Life after Cardiac Surgery Followed by Long-Term Intensive Care Stay

2013 ◽  
Vol 61 (08) ◽  
pp. 696-700 ◽  
Author(s):  
Romy Schreier ◽  
Lemir El-Ayoubi ◽  
Stefan Erler ◽  
Aiman Alken ◽  
Gerhard Wimmer-Greinecker ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Cardiac Surgery ◽  
Intensive Care ◽  
Functional Capacity ◽  
Intensive Care Stay

Sustainability of clinical pathway guided care in cardiac surgery ICU patients; 9-years experience in over 7500 patients

2018 ◽  
Vol 31 (6) ◽  
pp. 456-463
Author(s):  
B M van der Kolk ◽  
M van den Boogaard ◽  
J G van der Hoeven ◽  
L Noyez ◽  
P Pickkers
Keyword(s):  
Cardiac Surgery ◽  
Intensive Care ◽  
Clinical Outcome ◽  
Clinical Pathway ◽  
Hospital Length ◽  
Hospital Length Of Stay ◽  
Icu Patients ◽  
Complex Patients ◽  
Intensive Care Stay ◽  
Over Time

Abstract Objective To determine trends over time regarding inclusion of post-operative cardiac surgery intensive care unit (ICU) patients in a clinical pathway (CP), and the association with clinical outcome. Design Retrospective cohort study. Setting ICU of an academic hospital. Participants All cardiac surgery patients operated between 2007 and 2015. Measures and Results A total of 7553 patients were operated. Three patient groups were identified: patients treated according to CP (n = 6567), patients excluded from the CP within the first 48 h (n = 633) and patients never included in CP (n = 353). Patients treated according to CP increased significantly over time from 74% to 95% and the median Log EuroSCORE (predicted mortality score) in this group increased significantly over time (P = 0.016). In-hospital length of stay (LOS) decreased in all groups, but significantly in CP group (P < 0.001). Overall, the in-hospital, and 1-year mortality decreased from 1.5 to 1.1% and 3.7 to 2.9%, respectively (both P < 0.05). Patients with a Log EuroSCORE >10 were more likely excluded from CP (P < 0.001), but, if included in CP, these patients had a significantly shorter Intensive Care stay and in-hospital stay compared to excluded patients with a Log EuroSCORE >10 (both P < 0.001). Conclusions The use of a CP for all post-operative cardiac surgery patients in the ICU is sustainable. While more complex patients were treated according to the CP, clinical outcome improved in the CP group.

Preliminary Report regarding the Use of Selective Sorbents in Complex Cardiac Surgery Patients with Extensive Sepsis and Prolonged Intensive Care Stay

2009 ◽  
Vol 28 (3) ◽  
pp. 227-233 ◽  
Author(s):  
M. Yaroustovsky ◽  
M. Abramyan ◽  
Z. Popok ◽  
E. Nazarova ◽  
O. Stupchenko ◽  
...  
Keyword(s):  
Cardiac Surgery ◽  
Intensive Care ◽  
Preliminary Report ◽  
Intensive Care Stay

scholarly journals Prognostic Value of GDF-15 in Predicting Prolonged Intensive Care Stay following Cardiac Surgery: A Pilot Study

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Henry Barton ◽  
Elisabeth Zechendorf ◽  
Dirk Ostareck ◽  
Antje Ostareck-Lederer ◽  
Christian Stoppe ◽  
...  
Keyword(s):  
Cardiac Surgery ◽  
Intensive Care ◽  
Cardiopulmonary Bypass ◽  
Confidence Interval ◽  
Prediction Models ◽  
Unit Length ◽  
Cardiopulmonary Bypass Time ◽  
Icu Stay ◽  
Intensive Care Stay ◽  
Prolonged Icu Stay

Introduction. 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. Materials and 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, cardiopulmonary 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 were 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 cardiopulmonary 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, and 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, and 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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