Literature DB >> 2071763

Predicting outcome in intensive therapy units--a comparison of Apache II with subjective assessments.

R J Marks1, R S Simons, R A Blizzard, D R Browne.   

Abstract

In a prospective study 568 patients admitted to a mixed medical and surgical intensive therapy unit (ITU) were assessed using the Apache II severity of illness score to predict outcome. Their outcome was also predicted subjectively by a doctor and nurse on admission. There were 260 deaths in the group. The subjective predictions were compared with the Apache II predictions using logistic regression analysis and receiver-operating-characteristic curve measurement. The subjective assessments were found to be a more powerful predictor of outcome in this group of patients than the Apache II scores and predicted risk of death. Although the predictions could be successfully applied to the population as a whole, none of the tests were suitable for predicting outcome on an individual patient.

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Year:  1991        PMID: 2071763     DOI: 10.1007/BF01704720

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


  16 in total

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

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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.  Primer on certain elements of medical decision making.

Authors:  B J McNeil; E Keller; S J Adelstein
Journal:  N Engl J Med       Date:  1975-07-31       Impact factor: 91.245

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

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7.  Influence of patients' age on survival, level of therapy and length of stay in intensive care units.

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Journal:  Intensive Care Med       Date:  1987       Impact factor: 17.440

8.  Prognosis of patients receiving intensive care for lifethreatening medical complications of haematological malignancy.

Authors:  A R Lloyd-Thomas; I Wright; T A Lister; C J Hinds
Journal:  Br Med J (Clin Res Ed)       Date:  1988-04-09

9.  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

10.  Accuracy of decisions to withdraw therapy in critically ill patients: clinical judgment versus a computer model.

Authors:  R W Chang; B Lee; S Jacobs; B Lee
Journal:  Crit Care Med       Date:  1989-11       Impact factor: 7.598

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  4 in total

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3.  Can the experienced ICU physician predict ICU length of stay and outcome better than less experienced colleagues?

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Journal:  Intensive Care Med       Date:  2004-01-21       Impact factor: 17.440

4.  Predicting the Risk of Mortality in Children using a Fuzzy-Probabilistic Hybrid Model.

Authors:  Corsino Rey; Juan Mayordomo-Colunga; Roberts Gobergs; Reinis Balmaks; Ana Vivanco-Allende; Andrés Concha; Alberto Medina; Ana Colubi; Gil González-Rodríguez
Journal:  Biomed Res Int       Date:  2022-03-03       Impact factor: 3.411

  4 in total

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