Literature DB >> 8412825

Forecasting survival in the medical intensive care unit: a comparison of clinical prognoses with formal estimates.

C Christensen1, J J Cottrell, J Murakami, M E Mackesy, A S Fetzer, A S Elstein.   

Abstract

Physicians often need to make prognostic judgments. In the present study, the accuracy was explored of survival estimates for patients in the Medical Intensive Care Unit (MICU). Estimates were made by physicians and nurses several times during each patient's stay in the MICU and were compared to those of the APACHE II scale, a widely used quantitative index for critically ill patients. ROC curve and calibration curve analyses were performed to assess the accuracy of these estimates. Results revealed that MICU personnel were fairly accurate discriminators of patients who survived vs. who died, although there was a consistent tendency to underestimate survival. In addition, there was some relationship between the level of physician training and forecasting accuracy, but only within the patient's first 24 hours in the MICU. Finally, the estimates of physicians did not differ significantly from those of the APACHE II scale. Physicians tended to be better calibrated in their predictions, while the APACHE II scale was slightly superior in terms of discrimination.

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Year:  1993        PMID: 8412825

Source DB:  PubMed          Journal:  Methods Inf Med        ISSN: 0026-1270            Impact factor:   2.176


  7 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.  Factors associated with physicians' predictions of six-month mortality in critically ill patients.

Authors:  Bruno L Ferreyro; Michael O Harhay; Michael E Detsky
Journal:  J Intensive Care Soc       Date:  2019-07-03

3.  Incorporation of physiological trend and interaction effects in neonatal severity of illness scores: an experiment using a variant of the Richardson score.

Authors:  Michael Kuzniewicz; David Draper; Gabriel J Escobar
Journal:  Intensive Care Med       Date:  2007-06-19       Impact factor: 17.440

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

Authors:  Fábio Gusmão Vicente; Frederico Polito Lomar; Christian Mélot; Jean-Louis Vincent
Journal:  Intensive Care Med       Date:  2004-01-21       Impact factor: 17.440

5.  Certainty and mortality prediction in critically ill children.

Authors:  J P Marcin; R K Pretzlaff; M M Pollack; K M Patel; U E Ruttimann
Journal:  J Med Ethics       Date:  2004-06       Impact factor: 2.903

6.  Early Withdrawal Decision-Making in Patients with Coma After Cardiac Arrest: A Qualitative Study of Intensive Care Clinicians.

Authors:  Charlene J Ong; Amar Dhand; Michael N Diringer
Journal:  Neurocrit Care       Date:  2016-10       Impact factor: 3.210

7.  A prospective study of consecutive emergency medical admissions to compare a novel automated computer-aided mortality risk score and clinical judgement of patient mortality risk.

Authors:  Muhammad Faisal; Binish Khatoon; Andy Scally; Donald Richardson; Sally Irwin; Rachel Davidson; David Heseltine; Alison Corlett; Javed Ali; Rebecca Hampson; Sandeep Kesavan; Gerry McGonigal; Karen Goodman; Michael Harkness; Mohammed Mohammed
Journal:  BMJ Open       Date:  2019-06-19       Impact factor: 2.692

  7 in total

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