Literature DB >> 16244878

The use of severity scores in the intensive care unit.

Jean-Roger Le Gall1.   

Abstract

Mesh：

Year:  2005        PMID： 16244878     DOI： 10.1007/s00134-005-2825-8

Source DB:  PubMed          Journal:  Intensive Care Med        ISSN： 0342-4642            Impact factor:   17.440


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  23 in total

1.  Prospective comparison of clinical judgment and APACHE II score in predicting the outcome in critically ill surgical patients.

Authors:  A A Meyer; W J Messick; P Young; C C Baker; S Fakhry; F Muakkassa; E J Rutherford; L M Napolitano; R Rutledge
Journal:  J Trauma       Date:  1992-06

2.  Systems for comparing actual and predicted mortality rates: characteristics to promote cooperation in improving hospital care.

Authors:  H P Selker
Journal:  Ann Intern Med       Date:  1993-05-15       Impact factor: 25.391

3.  The meaning and use of the area under a receiver operating characteristic (ROC) curve.

Authors:  J A Hanley; B J McNeil
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4.  Prognosis in acute organ-system failure.

Authors:  W A Knaus; E A Draper; D P Wagner; J E Zimmerman
Journal:  Ann Surg       Date:  1985-12       Impact factor: 12.969

5.  SAPS II revisited.

Authors:  Philippe Aegerter; Ariane Boumendil; Aurélia Retbi; Etienne Minvielle; Benoit Dervaux; Bertrand Guidet
Journal:  Intensive Care Med       Date:  2005-01-28       Impact factor: 17.440

6.  Evaluation of definitions for sepsis.

Authors:  W A Knaus; X Sun; O Nystrom; D P Wagner
Journal:  Chest       Date:  1992-06       Impact factor: 9.410

7.  Use of the SOFA score to assess the incidence of organ dysfunction/failure in intensive care units: results of a multicenter, prospective study. Working group on "sepsis-related problems" of the European Society of Intensive Care Medicine.

Authors:  J L Vincent; A de Mendonça; F Cantraine; R Moreno; J Takala; P M Suter; C L Sprung; F Colardyn; S Blecher
Journal:  Crit Care Med       Date:  1998-11       Impact factor: 7.598

8.  Customized probability models for early severe sepsis in adult intensive care patients. Intensive Care Unit Scoring Group.

Authors:  J R Le Gall; S Lemeshow; G Leleu; J Klar; J Huillard; M Rué; D Teres; A Artigas
Journal:  JAMA       Date:  1995-02-22       Impact factor: 56.272

Review 9.  Multiple organ dysfunction score: a reliable descriptor of a complex clinical outcome.

Authors:  J C Marshall; D J Cook; N V Christou; G R Bernard; C L Sprung; W J Sibbald
Journal:  Crit Care Med       Date:  1995-10       Impact factor: 7.598

10.  Mortality probability models for patients in the intensive care unit for 48 or 72 hours: a prospective, multicenter study.

Authors:  S Lemeshow; J Klar; D Teres; J S Avrunin; S H Gehlbach; J Rapoport; M Rué
Journal:  Crit Care Med       Date:  1994-09       Impact factor: 7.598
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  15 in total

1.  High mortality rate for patients requiring intensive care after surgical revision following bariatric surgery.

Authors:  Nathalie Kermarrec; Jean-Pierre Marmuse; Judith Faivre; Sigismond Lasocki; Philippe Mognol; Denis Chosidow; Claudette Muller; Jean-Marie Desmonts; Philippe Montravers
Journal:  Obes Surg       Date:  2008-01-04       Impact factor: 4.129

2.  The performance and customization of SAPS 3 admission score in a Thai medical intensive care unit.

Authors:  Bodin Khwannimit; Rungsun Bhurayanontachai
Journal:  Intensive Care Med       Date:  2009-09-15       Impact factor: 17.440

3.  Empirical antibiotic therapy of sepsis in surgical intensive care unit.

Authors:  Ljiljana Mihaljević; Slobodan Mihaljević; Ivan Vasilj; Semra Cavaljuga; Fadila Serdarević; Ivan Soldo
Journal:  Bosn J Basic Med Sci       Date:  2007-08       Impact factor: 3.363

4.  Predicting outcome after traumatic brain injury: development of prognostic scores based on the IMPACT and the APACHE II.

Authors:  Rahul Raj; Jari Siironen; Riku Kivisaari; Juha Hernesniemi; Markus B Skrifvars
Journal:  J Neurotrauma       Date:  2014-08-12       Impact factor: 5.269

5.  Dynamic prediction of the need for renal replacement therapy in intensive care unit patients using a simple and robust model.

Authors:  Felix Erdfelder; Daniel Grigutsch; Andreas Hoeft; Evgeny Reider; Idit Matot; Sven Zenker
Journal:  J Clin Monit Comput       Date:  2015-12-19       Impact factor: 2.502

Review 6.  Nutrition in critical illness: a current conundrum.

Authors:  L John Hoffer; Bruce R Bistrian
Journal:  F1000Res       Date:  2016-10-18

7.  A novel time series analysis approach for prediction of dialysis in critically ill patients using echo-state networks.

Authors:  T Verplancke; S Van Looy; K Steurbaut; D Benoit; F De Turck; G De Moor; J Decruyenaere
Journal:  BMC Med Inform Decis Mak       Date:  2010-01-21       Impact factor: 2.796

8.  Circulating cytokines and outcome prediction of burned children with concomitant inhalation injury.

Authors:  Pavlos M Myrianthefs; George J Baltopoulos
Journal:  Crit Care       Date:  2008-06-23       Impact factor: 9.097

9.  Predicting six-month mortality of patients with traumatic brain injury: usefulness of common intensive care severity scores.

Authors:  Rahul Raj; Markus Skrifvars; Stepani Bendel; Tuomas Selander; Riku Kivisaari; Jari Siironen; Matti Reinikainen
Journal:  Crit Care       Date:  2014-04-03       Impact factor: 9.097

Review 10.  Scoring systems in the intensive care unit: A compendium.

Authors:  Amy Grace Rapsang; Devajit C Shyam
Journal:  Indian J Crit Care Med       Date:  2014-04
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