Literature DB >> 10417092

ABC of intensive care: outcome data and scoring systems.

K Gunning, K Rowan.   

Abstract

Mesh：

Year:  1999        PMID： 10417092      PMCID： PMC1116333          DOI： 10.1136/bmj.319.7204.241

Source DB:  PubMed          Journal:  BMJ        ISSN： 0959-8138


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  20 in total

1.  Mortality prediction model is preferable to APACHE.

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

2.  On the Edge of Life, I: Assessment of, Reaction to, and Management of the Terminally Ill Recorded in an Intensive Care Unit Journal.

Authors:  Mikkael A. Sekeres; Theodore A. Stern
Journal:  Prim Care Companion J Clin Psychiatry       Date:  2002-10

3.  Validation of the APACHE IV model and its comparison with the APACHE II, SAPS 3, and Korean SAPS 3 models for the prediction of hospital mortality in a Korean surgical intensive care unit.

Authors:  Hannah Lee; Yoon-Jung Shon; Hyerim Kim; Hyesun Paik; Hee-Pyoung Park
Journal:  Korean J Anesthesiol       Date:  2014-08-26

4.  Validating scores: a good business for a trauma register.

Authors:  Marcus R Raum
Journal:  Crit Care       Date:  2012-09-28       Impact factor: 9.097

5.  In vitro and in vivo effects of salbutamol on neutrophil function in acute lung injury.

Authors:  G D Perkins; N Nathani; D F McAuley; F Gao; D R Thickett
Journal:  Thorax       Date:  2006-08-23       Impact factor: 9.139

6.  Comparison of the Glasgow Coma Scale and the Reaction Level Scale for assessment of cerebral responsiveness in the critically ill.

Authors:  Sten M Walther; Ulla Jonasson; Hans Gill
Journal:  Intensive Care Med       Date:  2003-05-07       Impact factor: 17.440

7.  [Outcome of intensive medical care for inflammatory rheumatic diseases].

Authors:  L A Rütter; S Rütter; M Winkler; G Keyßer
Journal:  Z Rheumatol       Date:  2017-11       Impact factor: 1.372

8.  Relationship of plasma gelsolin levels to outcomes in critically ill surgical patients.

Authors:  Po-Shun Lee; Leslie R Drager; Thomas P Stossel; Francis D Moore; Selwyn O Rogers
Journal:  Ann Surg       Date:  2006-03       Impact factor: 12.969

9.  Application of the pediatric risk of mortality (PRISM) score and determination of mortality risk factors in a tertiary pediatric intensive care unit.

Authors:  Graziela Araujo Costa; Arthur F Delgado; Alexandre Ferraro; Thelma Suely Okay
Journal:  Clinics (Sao Paulo)       Date:  2010       Impact factor: 2.365

10.  A comparison of admission and worst 24-hour Acute Physiology and Chronic Health Evaluation II scores in predicting hospital mortality: a retrospective cohort study.

Authors:  Kwok M Ho; Geoffrey J Dobb; Matthew Knuiman; Judith Finn; Kok Y Lee; Steven A R Webb
Journal:  Crit Care       Date:  2006-02       Impact factor: 9.097
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