scholarly journals Comparison of the performance of SAPS II, SAPS 3, APACHE II, and their customized prognostic models in a surgical intensive care unit

2008 ◽  
Vol 101 (6) ◽  
pp. 798-803 ◽  
Author(s):  
Y. Sakr ◽  
C. Krauss ◽  
A.C.K. B. Amaral ◽  
A. Réa-Neto ◽  
M. Specht ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Apache Ii ◽  
Prognostic Models ◽  
Surgical Intensive Care Unit ◽  
Surgical Intensive Care ◽  
Saps 3 ◽  
Saps Ii

A Comparison of Predictive Outcomes of APACHE II and SAPS II in a Surgical Intensive Care Unit

2001 ◽  
Vol 16 (5) ◽  
pp. 161-165 ◽  
Author(s):  
John McNelis ◽  
Corrado Marini ◽  
Robert Kalimi ◽  
Antoni Jurkiewicz ◽  
Garry Ritter ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Apache Ii ◽  
Surgical Intensive Care Unit ◽  
Surgical Intensive Care ◽  
Saps Ii

scholarly journals Data Science for Extubation Prediction and Value of Information in Surgical Intensive Care Unit

2019 ◽  
Vol 8 (10) ◽  
pp. 1709 ◽  
Author(s):  
Tsung-Lun Tsai ◽  
Min-Hsin Huang ◽  
Chia-Yen Lee ◽  
Wu-Wei Lai
Keyword(s):  
Intensive Care Unit ◽  
Logistic Regression ◽  
Intensive Care ◽  
Prediction Model ◽  
Value Of Information ◽  
Data Science ◽  
Apache Ii ◽  
Surgical Intensive Care Unit ◽  
Surgical Intensive Care ◽  
Science Framework

Besides the traditional indices such as biochemistry, arterial blood gas, rapid shallow breathing index (RSBI), acute physiology and chronic health evaluation (APACHE) II score, this study suggests a data science framework for extubation prediction in the surgical intensive care unit (SICU) and investigates the value of the information our prediction model provides. A data science framework including variable selection (e.g., multivariate adaptive regression splines, stepwise logistic regression and random forest), prediction models (e.g., support vector machine, boosting logistic regression and backpropagation neural network (BPN)) and decision analysis (e.g., Bayesian method) is proposed to identify the important variables and support the extubation decision. An empirical study of a leading hospital in Taiwan in 2015–2016 is conducted to validate the proposed framework. The results show that APACHE II and white blood cells (WBC) are the two most critical variables, and then the priority sequence is eye opening, heart rate, glucose, sodium and hematocrit. BPN with selected variables shows better prediction performance (sensitivity: 0.830; specificity: 0.890; accuracy 0.860) than that with APACHE II or RSBI. The value of information is further investigated and shows that the expected value of experimentation (EVE), 0.652 days (patient staying in the ICU), is saved when comparing with current clinical experience. Furthermore, the maximal value of information occurs in a failure rate around 7.1% and it reveals the “best applicable condition” of the proposed prediction model. The results validate the decision quality and useful information provided by our predicted model.

Obesity Does Not Affect Mortality after Trauma

2006 ◽  
Vol 72 (10) ◽  
pp. 966-969 ◽  
Author(s):  
Rodrigo F. Alban ◽  
Sergey Lyass ◽  
Daniel R. Margulies ◽  
M. Michael Shabot
Keyword(s):  
Intensive Care Unit ◽  
Risk Factor ◽  
Intensive Care ◽  
Adverse Outcomes ◽  
Apache Ii ◽  
Surgical Intensive Care Unit ◽  
Apache Ii Score ◽  
Surgical Intensive Care ◽  
Significant Difference ◽  
Nonobese Patients

Although obesity has been proposed as a risk factor for adverse outcomes after trauma, numerous studies report conflicting results. The objective of this study was to compare outcomes of obese and nonobese patients after trauma. The study population consisted of all trauma patients admitted to a surgical intensive care unit in a Level I trauma center from January 1999 to December 2002. Admission data, demographics, injury severity score (ISS), severity of illness, hospital course, complications, and outcomes were compared between obese (OB; body mass index [BMI] ≥ 30), and nonobese patients (NOB; BMI ≤ 29). A total of 918 patients was included in the study, 135 OB (14.7%) and 783 NOB (85.3%). There was no significant difference in demographic data, ISS, APACHE II score, and hospital stay. Intensive care unit stay was longer for OB patients (6.8 vs 4.8 days, P = 0.04). Overall mortality was 5.9 per cent for OB and 8.0 per cent for NOB patients (P = 0.48). Mortality by mechanism of injury was 3.4 per cent OB versus 7.4 per cent NOB (P = 0.26) for blunt and 10.6 per cent OB versus 10.2 per cent NOB (P = 0.9) for penetrating injury. The three most common complications associated with death were pulmonary, cardiovascular, and neurological deterioration. Using logistic regression analysis, age and ISS and APACHE II scores were associated with mortality, but BMI was not. We conclude that obesity does not appear to be a risk factor for adverse outcomes after blunt or penetrating trauma. Further research is warranted to uncover the reason for discrepant findings between centers.

Is the SAPS II score valid in surgical intensive care unit patients?

2010 ◽  
Vol 18 (2) ◽  
pp. 231-237 ◽  
Author(s):  
Yasser Sakr ◽  
Juliana Marques ◽  
Stefan Mortsch ◽  
Matheus Demarchi Gonsalves ◽  
Khosro Hekmat ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Surgical Intensive Care Unit ◽  
Surgical Intensive Care ◽  
Saps Ii ◽  
Saps Ii Score

Increasing Reliability of APACHE II Scores in a Medical-Surgical Intensive Care Unit: A Quality Improvement Study

2009 ◽  
Vol 18 (1) ◽  
pp. 58-64 ◽  
Author(s):  
L. Donahoe ◽  
E. McDonald ◽  
M. E. Kho ◽  
M. Maclennan ◽  
P. W. Stratford ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Quality Improvement ◽  
Apache Ii ◽  
Surgical Intensive Care Unit ◽  
Surgical Intensive Care

IMPROVING THE PREDICTIVE POWER OF APACHE II SCORES IN SURGICAL INTENSIVE CARE UNIT (SICU) PATIENTS

1990 ◽  
Vol 18 (Supplement) ◽  
pp. S197
Author(s):  
Farid Muakkassa ◽  
Elizabeth Bell ◽  
Robert Rutledge ◽  
Edmund Rutherford ◽  
Samir Fakhry ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Predictive Power ◽  
Apache Ii ◽  
Surgical Intensive Care Unit ◽  
Surgical Intensive Care
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