scholarly journals Perioperative Cardiac Risk Prediction in Non Cardiac Surgery-Investigation for Efficiency of Nuclear Scanning

2008 ◽  
Vol 20 (1) ◽  
pp. 100-107
Author(s):  
Hitoshi IYATOMI ◽  
Jingming BAI ◽  
Tomotaka KASAMATSU ◽  
Jun HASHIMOTO
Keyword(s):  
Cardiac Surgery ◽  
Risk Prediction ◽  
Cardiac Risk ◽  
Nuclear Scanning

scholarly journals A systematic review of risk prediction in adult cardiac surgery: considerations for future model development

2013 ◽  
Vol 43 (5) ◽  
pp. e121-e129 ◽  
Author(s):  
S. J. Head ◽  
R. L. J. Osnabrugge ◽  
N. J. Howell ◽  
N. Freemantle ◽  
B. Bridgewater ◽  
...  
Keyword(s):  
Systematic Review ◽  
Cardiac Surgery ◽  
Risk Prediction ◽  
Model Development ◽  
Adult Cardiac Surgery

scholarly journals Methods for updating a risk prediction model for cardiac surgery: a statistical primer

2019 ◽  
Vol 28 (3) ◽  
pp. 333-338 ◽  
Author(s):  
Sabrina Siregar ◽  
Daan Nieboer ◽  
Michel I M Versteegh ◽  
Ewout W Steyerberg ◽  
Johanna J M Takkenberg
Keyword(s):  
Cardiac Surgery ◽  
Prediction Model ◽  
Risk Prediction ◽  
Risk Prediction Model

Prediction of cardiac risk in non-cardiac surgery

1987 ◽  
Vol 8 (2) ◽  
pp. 179-185 ◽  
Author(s):  
S.FREY LARSEN ◽  
K. H. OLESEN ◽  
E. JACOBSEN ◽  
H. NIELSEN ◽  
A.LYNGE NIELSEN ◽  
...  
Keyword(s):  
Cardiac Surgery ◽  
Cardiac Risk

Cardiac risk in non-cardiac surgery: A review

2018 ◽  
Vol 21 ◽  
pp. 6-12 ◽  
Author(s):  
Manuel Kindler ◽  
Patrick Mark Wanner ◽  
Miodrag Filipovic
Keyword(s):  
Cardiac Surgery ◽  
Cardiac Risk

scholarly journals Preoperative identification of cardiac surgery patients at risk of receiving a platelet transfusion: The Australian Cardiac Surgery Platelet Transfusion ( ACSePT ) risk prediction tool

Transfusion ◽  
2020 ◽  
Vol 60 (10) ◽  
pp. 2272-2283
Author(s):  
Andrew W. J. Flint ◽  
Michael Bailey ◽  
Christopher M. Reid ◽  
Julian A. Smith ◽  
Lavinia Tran ◽  
...  
Keyword(s):  
At Risk ◽  
Cardiac Surgery ◽  
Risk Prediction ◽  
Platelet Transfusion ◽  
Prediction Tool ◽  
Patients At Risk
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