Literature DB >> 3129479

Sickness scoring and response to treatment as predictors of outcome from critical illness.

J F Bion1, T C Aitchison, S A Edlin, I M Ledingham.   

Abstract

A physiological sickness scoring system (SS), based on the APACHE II score, has been used to assess outcome from critical illness in 128 patients admitted to a general intensive care unit. Physiological data were collected on each patient from admission until death or discharge from the unit, and survival was recorded as survival to home. The admission SS correctly classified 80.6% of survivors, and 70.4% of non-survivors. Predictive power did not improve with time using the daily SS. However, when the proportional change in SS over time was included in the analysis, predictive power improved; and at day 4, 87.1% of survivors and 75% of non-survivors were correctly classified. At intermediate levels of sickness severity (admission score of 13-18), a reduction in SS of 30% by day 4 reduced the risk of death by 32%; at higher levels (greater than 18) a similar reduction in SS was associated with a 47% reduction in death-risk. Failure to obtain a reduction in score by day 4 was associated with increased risk of death. Survivors consistently showed a greater fall in SS by day 4 than non-survivors. The APACHE score and its modifications provide an accurate, unitary measure of physiological disturbance. Correction of abnormal physiology, and the measurement of responsiveness to therapy are important components in the prediction of outcome from critical illness.

Entities:  

Mesh:

Year:  1988        PMID: 3129479     DOI: 10.1007/bf00257472

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


  5 in total

1.  Severity scoring in intensive care.

Authors:  C J Morgan; M A Branthwaite
Journal:  Br Med J (Clin Res Ed)       Date:  1986-06-14

2.  APACHE II: a severity of disease classification system.

Authors:  W A Knaus; E A Draper; D P Wagner; J E Zimmerman
Journal:  Crit Care Med       Date:  1985-10       Impact factor: 7.598

3.  A simplified acute physiology score for ICU patients.

Authors:  J R Le Gall; P Loirat; A Alperovitch; P Glaser; C Granthil; D Mathieu; P Mercier; R Thomas; D Villers
Journal:  Crit Care Med       Date:  1984-11       Impact factor: 7.598

4.  Validation of a prognostic score in critically ill patients undergoing transport.

Authors:  J F Bion; S A Edlin; G Ramsay; S McCabe; I M Ledingham
Journal:  Br Med J (Clin Res Ed)       Date:  1985-08-17

5.  Physiologic abnormalities and outcome from acute disease. Evidence for a predictable relationship.

Authors:  D P Wagner; W A Knaus; E A Draper
Journal:  Arch Intern Med       Date:  1986-07
  5 in total
  8 in total

Review 1.  Predicting outcome in critical care: the current status of the APACHE prognostic scoring system.

Authors:  D T Wong; W A Knaus
Journal:  Can J Anaesth       Date:  1991-04       Impact factor: 5.063

Review 2.  Scoring and outcome audit systems relevant to emergency medicine.

Authors:  M Waters; P Nightingale
Journal:  Arch Emerg Med       Date:  1990-03

3.  A clinical sickness score for the critically ill in Central Africa.

Authors:  D A Watters; I H Wilson; J R Sinclair; N Ngandu
Journal:  Intensive Care Med       Date:  1989       Impact factor: 17.440

4.  Outcomes in intensive care.

Authors:  J Bion
Journal:  BMJ       Date:  1993-10-16

5.  Intensive Care Society's APACHE II study in Britain and Ireland--I: Variations in case mix of adult admissions to general intensive care units and impact on outcome.

Authors:  K M Rowan; J H Kerr; E Major; K McPherson; A Short; M P Vessey
Journal:  BMJ       Date:  1993-10-16

6.  Association between trends in clinical variables and outcome in intensive care patients with faecal peritonitis: analysis of the GenOSept cohort.

Authors:  Ascanio Tridente; Geraldine M Clarke; Andrew Walden; Anthony C Gordon; Paula Hutton; Jean-Daniel Chiche; Paul A H Holloway; Gary H Mills; Julian Bion; Frank Stüber; Christopher Garrard; Charles Hinds
Journal:  Crit Care       Date:  2015-05-05       Impact factor: 9.097

7.  Case mix, outcome and activity for patients with severe acute kidney injury during the first 24 hours after admission to an adult, general critical care unit: application of predictive models from a secondary analysis of the ICNARC Case Mix Programme database.

Authors:  Nitin V Kolhe; Paul E Stevens; Alex V Crowe; Graham W Lipkin; David A Harrison
Journal:  Crit Care       Date:  2008-10-13       Impact factor: 9.097

8.  Sepsis 3 and the burns patient: do we need Sepsis 3.1?

Authors:  Ascanio Tridente
Journal:  Scars Burn Heal       Date:  2018-08-14
  8 in total

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