Literature DB >> 1446503

Predicting outcome after ICU admission. The art and science of assessing risk.

D P Schuster1.   

Abstract

Mesh：

Year:  1992        PMID： 1446503     DOI： 10.1378/chest.102.6.1861

Source DB:  PubMed          Journal:  Chest        ISSN： 0012-3692            Impact factor:   9.410


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  10 in total

Review 1.  Predicting outcome in ICU patients. 2nd European Consensus Conference in Intensive Care Medicine.

Authors: 
Journal:  Intensive Care Med       Date:  1994-05       Impact factor: 17.440

2.  Predictions in the intensive care unit--in search of an "unholy grail"!

Authors:  I A Murdoch; D J Bihari
Journal:  Pediatr Nephrol       Date:  1993-12       Impact factor: 3.714

3.  A 9-year, single-institution, retrospective review of death rate and prognostic factors in adult respiratory distress syndrome.

Authors:  T R Rocco; S E Reinert; W Cioffi; D Harrington; G Buczko; H H Simms
Journal:  Ann Surg       Date:  2001-03       Impact factor: 12.969

4.  The performance of SAPS II in a cohort of patients admitted to 99 Italian ICUs: results from GiViTI. Gruppo Italiano per la Valutazione degli interventi in Terapia Intensiva.

Authors:  G Apolone; G Bertolini; R D'Amico; G Iapichino; A Cattaneo; G De Salvo; R M Melotti
Journal:  Intensive Care Med       Date:  1996-12       Impact factor: 17.440

5.  Application of the APACHE III prognostic system in Brazilian intensive care units: a prospective multicenter study.

Authors:  P G Bastos; X Sun; D P Wagner; W A Knaus; J E Zimmerman
Journal:  Intensive Care Med       Date:  1996-06       Impact factor: 17.440

6.  Epidemiologic aspects and results of applying the TRISS methodology in a Spanish trauma intensive care unit (TICU).

Authors:  J R Suárez-Alvarez; J Miquel; F J Del Río; P Ortega
Journal:  Intensive Care Med       Date:  1995-09       Impact factor: 17.440

7.  Outcome prediction for individual intensive care patients: useful, misused, or abused?

Authors:  S Lemeshow; J Klar; D Teres
Journal:  Intensive Care Med       Date:  1995-09       Impact factor: 17.440

8.  Artificial neural networks as prediction tools in the critically ill.

Authors:  Gilles Clermont
Journal:  Crit Care       Date:  2005-03-03       Impact factor: 9.097

9.  Amalgamation of procalcitonin, C-reactive protein, and sequential organ failure scoring system in predicting sepsis survival.

Authors:  M A Hegazy; Amr Salah Omar; N Samir; A Moharram; S Weber; W A Radwan
Journal:  Anesth Essays Res       Date:  2014 Sep-Dec

10.  Left atrial function for outcome prediction in severe sepsis and septic shock: an echocardiographic study.

Authors:  Amr S Omar; Masood ur Rahman; Said Abuhasna
Journal:  Indian J Crit Care Med       Date:  2009 Apr-Jun
  10 in total

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