Five Years of Experience with an Intensive Care Unit Specializing in Abdominal Surgery

2015 ◽  
pp. 37-48
Author(s):  
D. Franco ◽  
H. Bismuth
1993 ◽  
Vol 16 (5_suppl) ◽  
pp. 241-246 ◽  
Author(s):  
B. Borghi ◽  
A. Bassi ◽  
N. De Simone ◽  
A.M. Laguardia ◽  
G. Formaro

The program of blood saving, result of 15 years of experience, includes predeposit (1977) hemodilution (1979) intra (1984) and postoperative (1985) salvage, careful intra and postoperative bleeding control, use of homologous transfusion only in case of intolerated anaemia even for 7-8g/dl Hb values. The use of autologous compared to homologous transfusion passed from 19% in 1984 to 62% in 1992. In 1992 in the surgical division of the 1st Anaesthesia and Intensive Care unit, 414 patients underwent prosthetic hip and knee surgery, 8% of these patients were homologously transfused.


2016 ◽  
Vol 31 (1) ◽  
pp. 178-182 ◽  
Author(s):  
Peter M. Dodek ◽  
Hubert Wong ◽  
Monica Norena ◽  
Najib Ayas ◽  
Steven C. Reynolds ◽  
...  

2020 ◽  
pp. 1-9
Author(s):  
Joseph L Nates ◽  
Christopher M Jermaine ◽  
Joseph Ruiz ◽  
Joseph L Nates ◽  
Risa B Myers

Objectives: 1) To develop a cumulative perioperative model (CPM) using the hospital clinical course of abdominal surgery cancer patients that predicts 30 and 90-day mortality risk; 2) To compare the predictive ability of this model to ten existing other models. Materials and Methods: We constructed a multivariate logistic regression model of 30 (90)-day mortality, which occurred in 106 (290) of the cases, using 13,877 major abdominal surgical cases performed at the University of Texas MD Anderson Cancer Center from January 2007 to March 2014. The model includes race, starting location (home, inpatient ward, intensive care unit or emergency center), Charlson Comorbidity Index, emergency status, ASA-PS classification, procedure, surgical Apgar score, destination after surgery (hospital ward location) and delayed intensive care unit admit within six days. We computed and compared the model mortality prediction ability (C-statistic) as we accumulated features over time. Results: We were able to predict 30 (90)-day mortality with C-statistics from 0.70 (0.71) initially to 0.87 (0.84) within six days postoperatively. Conclusion: We achieved a high level of model discrimination. The CPM enables a continuous cumulative assessment of the patient’s mortality risk, which could then be used as a decision support aid regarding patient care and treatment, potentially resulting in improved outcomes, decreased costs and more informed decisions.


2005 ◽  
Vol 33 ◽  
pp. A88
Author(s):  
Fernando V De Marco ◽  
Ana Lucia G Guimaraes ◽  
Wilson M Imanishi ◽  
Nadia K Souza ◽  
Marcos Catania ◽  
...  

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