Postoperative Troponin-T Predicts Prolonged Intensive Care Unit Length of Stay Following Cardiac Surgery

2006 ◽  
Vol 2006 ◽  
pp. 144-148
Author(s):  
M.J. Hockstein
2004 ◽  
Vol 32 (9) ◽  
pp. 1866-1871 ◽  
Author(s):  
Aaron L. Baggish ◽  
Thomas E. MacGillivray ◽  
William Hoffman ◽  
John B. Newell ◽  
Kent B. Lewandrowski ◽  
...  

2017 ◽  
Vol 154 (5) ◽  
pp. 1668-1678.e2 ◽  
Author(s):  
Rakesh C. Arora ◽  
Rizwan A. Manji ◽  
Rohit K. Singal ◽  
Brett Hiebert ◽  
Alan H. Menkis

2004 ◽  
Vol 43 (5) ◽  
pp. A379
Author(s):  
Matthew J Gillespie ◽  
Marijn Kuijpers ◽  
Maaike Van Rossem ◽  
Sarah Tabbutt ◽  
J.William Gaynor ◽  
...  

Author(s):  
Evan P. Rotar ◽  
Jared P. Beller ◽  
Mark E. Smolkin ◽  
William Z. Chancellor ◽  
Gorav Ailawadi ◽  
...  

2011 ◽  
Vol 142 (2) ◽  
pp. 443-450 ◽  
Author(s):  
Gebhard Wagener ◽  
Moury Minhaz ◽  
Shuang Wang ◽  
Oliver Panzer ◽  
Hannah Wunsch ◽  
...  

2016 ◽  
Vol 30 (6) ◽  
pp. 1550-1554 ◽  
Author(s):  
Pey-Jen Yu ◽  
Hugh A. Cassiere ◽  
Joanna Fishbein ◽  
Rick A. Esposito ◽  
Alan R. Hartman

Author(s):  
Louise Y. Sun ◽  
Anan Bader Eddeen ◽  
Marc Ruel ◽  
Erika MacPhee ◽  
Thierry G. Mesana

Background Across the globe, elective surgeries have been postponed to limit infectious exposure and preserve hospital capacity for coronavirus disease 2019 (COVID‐19). However, the ramp down in cardiac surgery volumes may result in unintended harm to patients who are at high risk of mortality if their conditions are left untreated. To help optimize triage decisions, we derived and ambispectively validated a clinical score to predict intensive care unit length of stay after cardiac surgery. Methods and Results Following ethics approval, we derived and performed multicenter valida tion of clinical models to predict the likelihood of short (≤2 days) and prolonged intensive care unit length of stay (≥7 days) in patients aged ≥18 years, who underwent coronary artery bypass grafting and/or aortic, mitral, and tricuspid value surgery in Ontario, Canada. Multivariable logistic regression with backward variable selection was used, along with clinical judgment, in the modeling process. For the model that predicted short intensive care unit stay, the c‐statistic was 0.78 in the derivation cohort and 0.71 in the validation cohort. For the model that predicted prolonged stay, c‐statistic was 0.85 in the derivation and 0.78 in the validation cohort. The models, together termed the CardiOttawa LOS Score , demonstrated a high degree of accuracy during prospective testing. Conclusions Clinical judgment alone has been shown to be inaccurate in predicting postoperative intensive care unit length of stay. The CardiOttawa LOS Score performed well in prospective validation and will complement the clinician's gestalt in making more efficient resource allocation during the COVID‐19 period and beyond.


2006 ◽  
Vol 1 (4) ◽  
pp. 152-160 ◽  
Author(s):  
Matthew Gillespie ◽  
Marijn Kuijpers ◽  
Maike Van Rossem ◽  
Chitra Ravishankar ◽  
J. William Gaynor ◽  
...  

2013 ◽  
Vol 168 (1) ◽  
pp. 219-225 ◽  
Author(s):  
Fabio Barili ◽  
Nicoletta Barzaghi ◽  
Faisal H. Cheema ◽  
Antonio Capo ◽  
Jeffrey Jiang ◽  
...  

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