Literature DB >> 8089888

Modeling the severity of illness of ICU patients. A systems update.

S Lemeshow1, J R Le Gall.   

Abstract

OBJECTIVE: To review recent revisions of systems for estimating the probability of hospital mortality of adult intensive care unit (ICU) patients. Emphasis on comparison of components of systems and potential uses. DATA SOURCES: Published articles in which the systems were presented. STUDY SELECTION: Acute Physiology and Chronic Health Evaluation (APACHE III), Simplified Acute Physiology Score (SAPS II), and Mortality Probability Models (MPM II) are the major severity systems for ICU patients. DATA EXTRACTION: Information on variables collected in the systems, characteristics of databases from which they were developed, and reported performance of models were evaluated from published articles. DATA SYNTHESIS: APACHE III and SAPS II produce a score and probability of hospital mortality based on worst values of several variables during the first 24 hours in ICU. The MPM II system has four models, one at ICU admission and one at 24, 48, and 72 hours into the ICU stay. The SAPS II and MPM II models can be implemented from published information. The APACHE III score can be calculated from published information; weights to convert score to probability are proprietary. All reported good areas under receiver operating characteristic curve. Goodness of fit was good for SAPS II and MPM II models and was not reported for APACHE III models.
CONCLUSIONS: All models were based on rigorous research and reported performance is good. All can be used to assist in assessing prognosis, to compare ICU performance, and to stratify patients for clinical trials. Direct comparison on a common cohort is needed.

Entities:  

Mesh:

Year:  1994        PMID: 8089888

Source DB:  PubMed          Journal:  JAMA        ISSN: 0098-7484            Impact factor:   56.272


  77 in total

Review 1.  The state of research on multipurpose severity of illness scoring systems: are we on target?

Authors:  G Apolone
Journal:  Intensive Care Med       Date:  2000-12       Impact factor: 17.440

2.  Mortality prediction model is preferable to APACHE.

Authors:  F Shann
Journal:  BMJ       Date:  2000-03-11

3.  Body mass index. An additional prognostic factor in ICU patients.

Authors:  Maité Garrouste-Orgeas; Gilles Troché; Elie Azoulay; Antoine Caubel; Arnaud de Lassence; Christine Cheval; Laurent Montesino; Marie Thuong; François Vincent; Yves Cohen; Jean-François Timsit
Journal:  Intensive Care Med       Date:  2004-02-06       Impact factor: 17.440

4.  Frequency of laboratory test utilization in the intensive care unit and its implications for large-scale data collection efforts.

Authors:  Joseph J Frassica
Journal:  J Am Med Inform Assoc       Date:  2004-11-23       Impact factor: 4.497

Review 5.  The use of severity scores in the intensive care unit.

Authors:  Jean-Roger Le Gall
Journal:  Intensive Care Med       Date:  2005-10-22       Impact factor: 17.440

6.  Effect of training and strict guidelines on the reliability of risk adjustment systems in paediatric intensive care.

Authors:  Jolanda G van Keulen; Reinoud J B J Gemke; Kees H Polderman
Journal:  Intensive Care Med       Date:  2005-07-06       Impact factor: 17.440

7.  Evaluation of P-POSSUM and CR-POSSUM scores in patients with colorectal cancer undergoing resection.

Authors:  Mesut Tez; Omer Yoldaş; Erdal Gocmen; Bahadir Külah; Mahmut Koc
Journal:  World J Surg       Date:  2006-12       Impact factor: 3.352

8.  Comparison of three severity scores for critically ill cancer patients.

Authors:  Peter Schellongowski; Michael Benesch; Thomas Lang; Friederike Traunmüller; Christian Zauner; Klaus Laczika; Gottfried J Locker; Michael Frass; Thomas Staudinger
Journal:  Intensive Care Med       Date:  2003-11-04       Impact factor: 17.440

9.  Validation of Liano score in acute renal failure: a prospective study in Indian patients.

Authors:  Veena P Varricatt; N R Rau; Ravindra Prabhu Attur; Waqas Wahid Baig
Journal:  Clin Exp Nephrol       Date:  2008-07-26       Impact factor: 2.801

10.  [Value of the Hannover Intensive Score (HIS) in internal medicine intensive care].

Authors:  A von Bierbrauer; C Burchardt; H H Müller; P von Wichert
Journal:  Med Klin (Munich)       Date:  1998-09-15
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