Literature DB >> 2036699

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

D T Wong1, W A Knaus.   

Abstract

The APACHE (Acute Physiology and Chronic Health Evaluation) prognostic scoring system was developed in 1981 at the George Washington University Medical Center as a way to measure disease severity. APACHE II, introduced in 1985, was a simplified modification of the original APACHE. The APACHE II score consisted of three parts: 12 acute physiological variables, age and chronic health status. Probability of death can be derived by using the disease category and the APACHE II score. The uses of APACHE II include risk stratification to account for case mix in clinical studies, comparison of the quality of care among ICUs, and assessment of group and individual prognoses. APACHE III, a refinement of APACHE II, will be introduced in late 1990. The APACHE III data base includes 17,457 patients from a representative sample of 40 American hospitals. Additional potential uses of APACHE III include the identification of factors in the ICU which contribute to outcome and assistance in individual patient decision-making. This article reviews the development, current uses and potential applications of the APACHE system.

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Year:  1991        PMID: 2036699     DOI: 10.1007/BF03007629

Source DB:  PubMed          Journal:  Can J Anaesth        ISSN: 0832-610X            Impact factor:   5.063


  34 in total

1.  APACHE III study design: analytic plan for evaluation of severity and outcome in intensive care unit patients. Development of APACHE III.

Authors:  D Wagner; E Draper; W Knaus
Journal:  Crit Care Med       Date:  1989-12       Impact factor: 7.598

2.  Adjusted hospital death rates: a potential screen for quality of medical care.

Authors:  R W Dubois; R H Brook; W H Rogers
Journal:  Am J Public Health       Date:  1987-09       Impact factor: 9.308

3.  How well can physicians estimate mortality in a medical intensive care unit?

Authors:  D K McClish; S H Powell
Journal:  Med Decis Making       Date:  1989 Apr-Jun       Impact factor: 2.583

4.  Predicting outcome among intensive care unit patients using computerised trend analysis of daily Apache II scores corrected for organ system failure.

Authors:  R W Chang; S Jacobs; B Lee
Journal:  Intensive Care Med       Date:  1988       Impact factor: 17.440

5.  APACHE III study design: analytic plan for evaluation of severity and outcome in intensive care unit patients. Individual patient decisions.

Authors:  W Knaus; D Wagner
Journal:  Crit Care Med       Date:  1989-12       Impact factor: 7.598

6.  APACHE-acute physiology and chronic health evaluation: a physiologically based classification system.

Authors:  W A Knaus; J E Zimmerman; D P Wagner; E A Draper; D E Lawrence
Journal:  Crit Care Med       Date:  1981-08       Impact factor: 7.598

7.  Comparison of clinical assessment with APACHE II for predicting mortality risk in patients admitted to a medical intensive care unit.

Authors:  J A Kruse; M C Thill-Baharozian; R W Carlson
Journal:  JAMA       Date:  1988 Sep 23-30       Impact factor: 56.272

8.  Treatment of severe intra-abdominal sepsis and/or necrotic foci by an 'open-abdomen' approach. Zipper and zipper-mesh techniques.

Authors:  J L Garcia-Sabrido; J M Tallado; N V Christou; J R Polo; E Valdecantos
Journal:  Arch Surg       Date:  1988-02

9.  Use of APACHE II severity of disease classification to identify intensive-care-unit patients who would not benefit from total parenteral nutrition.

Authors:  R W Chang; S Jacobs; B Lee
Journal:  Lancet       Date:  1986-06-28       Impact factor: 79.321

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

Authors:  J F Bion; T C Aitchison; S A Edlin; I M Ledingham
Journal:  Intensive Care Med       Date:  1988       Impact factor: 17.440

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  30 in total

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2.  Computer-assisted test interpretation: considerations in patient care.

Authors:  S D Hillson; D P Connelly
Journal:  J Med Syst       Date:  1992-10       Impact factor: 4.460

3.  Critical care audit.

Authors:  J A Vestrup
Journal:  Can J Anaesth       Date:  1992-03       Impact factor: 5.063

Review 4.  Bringing big data to personalized healthcare: a patient-centered framework.

Authors:  Nitesh V Chawla; Darcy A Davis
Journal:  J Gen Intern Med       Date:  2013-09       Impact factor: 5.128

5.  One-year audit of admissions to the Intensive Care Unit of the Queen Elizabeth Central Hospital, Blantyre.

Authors:  M Size; E S Borgstein; H J Haisma
Journal:  Malawi Med J       Date:  2005-06       Impact factor: 0.875

6.  Comparison of six outcome prediction models in an adult burn population in a developing country.

Authors:  S H Salehi; K As'adi; A Abbaszadeh-Kasbi; M S Isfeedvajani; N Khodaei
Journal:  Ann Burns Fire Disasters       Date:  2017-03-31

7.  Risk factors for death after sepsis in patients immunosuppressed before the onset of sepsis.

Authors:  Debra D Poutsiaka; Lisa E Davidson; Katherine L Kahn; David W Bates; David R Snydman; Patricia L Hibberd
Journal:  Scand J Infect Dis       Date:  2009

8.  Outcome of elderly patients with circulatory failure.

Authors:  Patrick Biston; Cesar Aldecoa; Jacques Devriendt; Christian Madl; Didier Chochrad; Jean-Louis Vincent; Daniel De Backer
Journal:  Intensive Care Med       Date:  2013-10-17       Impact factor: 17.440

9.  A network model to predict the risk of death in sickle cell disease.

Authors:  Paola Sebastiani; Vikki G Nolan; Clinton T Baldwin; Maria M Abad-Grau; Ling Wang; Adeboye H Adewoye; Lillian C McMahon; Lindsay A Farrer; James G Taylor; Gregory J Kato; Mark T Gladwin; Martin H Steinberg
Journal:  Blood       Date:  2007-06-28       Impact factor: 22.113

10.  The Toronto prehospital hypertonic resuscitation-head injury and multi organ dysfunction trial (TOPHR HIT)--methods and data collection tools.

Authors:  Laurie J Morrison; Sandro B Rizoli; Brian Schwartz; Shawn G Rhind; Merita Simitciu; Tyrone Perreira; Russell Macdonald; Anna Trompeo; Donald T Stuss; Sandra E Black; Alex Kiss; Andrew J Baker
Journal:  Trials       Date:  2009-11-20       Impact factor: 2.279

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