Literature DB >> 8769590

The Logistic Organ Dysfunction system. A new way to assess organ dysfunction in the intensive care unit. ICU Scoring Group.

J R Le Gall1, J Klar, S Lemeshow, F Saulnier, C Alberti, A Artigas, D Teres.   

Abstract

OBJECTIVE: To develop an objective method for assessing organ dysfunction among intensive care unit (ICU) patients on the first day of the ICU stay. DESIGN AND
SETTING: Physiological variables defined dysfunction in 6 organ systems. Logistic regression techniques were used to determine severity levels and relative weights for the Logistic Organ Dysfunction (LOD) score and for conversion of the LOD score to a probability of mortality. PATIENTS: A total of 13 152 consecutive admission to 137 adult medical/surgical ICUs in 12 countries from the European/North American Study of Severity Systems. OUTCOME MEASURES: Patient vital status at hospital discharge.
RESULTS: The LOD System identified from 1 to 3 levels of organ dysfunction for 6 organ systems: neurologic, cardiovascular, renal, pulmonary, hematologic, and hepatic. From 1 to 5 LOD points were assigned to the levels of severity, and the resulting LOD scores ranged from 0 to 22 points. Model calibration was very good in the developmental and validation samples (P=.21 and P=.50, respectively), as was model discrimination (area under the receiver operating characteristic curves of 0.843 and 0.850, respectively).
CONCLUSION: The LOD System provides an objective tool for assessing severity levels for organ dysfunction in the ICU, a critical component in the conduct of clinical trials. Neurologic, cardiovascular, and renal dysfunction were the most severe organ dysfunctions, followed by pulmonary and hematologic dysfunction, with hepatic dysfunction the least severe. The LOD System takes into account both the relative severity among organ systems and the degree of severity within an organ system.

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Mesh:

Year:  1996        PMID: 8769590     DOI: 10.1001/jama.276.10.802

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


  169 in total

1.  Outcome prediction in intensive care. Solving the paradox.

Authors:  R Moreno; R Matos
Journal:  Intensive Care Med       Date:  2001-06       Impact factor: 17.440

Review 2.  Defining and improving data quality in medical registries: a literature review, case study, and generic framework.

Authors:  Danielle G T Arts; Nicolette F De Keizer; Gert-Jan Scheffer
Journal:  J Am Med Inform Assoc       Date:  2002 Nov-Dec       Impact factor: 4.497

Review 3.  [Scoring systems in the intensive care unit].

Authors:  K Lewandowski; M Lewandowski
Journal:  Anaesthesist       Date:  2003-10       Impact factor: 1.041

4.  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

5.  Classification of sepsis, severe sepsis and septic shock: the impact of minor variations in data capture and definition of SIRS criteria.

Authors:  Peter M C Klein Klouwenberg; David S Y Ong; Marc J M Bonten; Olaf L Cremer
Journal:  Intensive Care Med       Date:  2012-04-05       Impact factor: 17.440

6.  Acute respiratory distress syndrome mimickers lacking common risk factors of the Berlin definition.

Authors:  Aude Gibelin; Antoine Parrot; Bernard Maitre; Christian Brun-Buisson; Armand Mekontso Dessap; Muriel Fartoukh; Nicolas de Prost
Journal:  Intensive Care Med       Date:  2015-09-25       Impact factor: 17.440

Review 7.  Early and innovative interventions for severe sepsis and septic shock: taking advantage of a window of opportunity.

Authors:  Emanuel P Rivers; Lauralyn McIntyre; David C Morro; Kandis K Rivers
Journal:  CMAJ       Date:  2005-10-25       Impact factor: 8.262

Review 8.  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

9.  Incidence of sepsis in hospitalized patients.

Authors:  Rui Moreno; Susana Afonso; Teresa Fevereiro
Journal:  Curr Infect Dis Rep       Date:  2006-09       Impact factor: 3.725

10.  Central neurological complications in critically ill patients with malignancies.

Authors:  Stéphane Legriel; Hélène Marijon; Michael Darmon; Virginie Lemiale; Jean-Pierre Bedos; Benoît Schlemmer; Elie Azoulay
Journal:  Intensive Care Med       Date:  2009-11-12       Impact factor: 17.440

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