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Text
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<a href="http://doi.org/10.1097/01.ccm.0000126402.51524.52" target="_blank" rel="noreferrer">http://doi.org/10.1097/01.ccm.0000126402.51524.52</a>
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Title
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Clinician predictions of intensive care unit mortality
Publisher
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Critical Care Medicine
Date
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2004
Subject
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Female; Humans; Male; Medical Staff; Hospital Mortality; Prognosis; Prospective Studies; Middle Aged; Respiration; Severity of Illness Index; Survival Analysis; Risk Factors; Predictive Value of Tests; Chi-Square Distribution; Proportional Hazards Models; Nursing Staff; Artificial; Intensive Care Units/statistics & numerical data; APACHE; Nursing Assessment/standards; Likelihood Functions; Clinical Competence/standards; Critical Illness/mortality/therapy; Hospital/standards; Multiple Organ Failure/classification/mortality
Creator
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Rocker G; Cook D; Sjokvist P; Weaver B; Finfer S; McDonald E; Marshall J; Kirby A; Levy M; Dodek P; Heyland D; Guyatt G; Level of Care Study Investigators; Canadian Critical Care Trials Group
Description
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OBJECTIVE: Predicting outcomes for critically ill patients is an important aspect of discussions with families in the intensive care unit. Our objective was to evaluate clinical intensive care unit survival predictions and their consequences for mechanically ventilated patients. DESIGN: Prospective cohort study. SETTING: Fifteen tertiary care centers. PATIENTS: Consecutive mechanically ventilated patients > or = 18 yrs of age with expected intensive care unit stay > or = 72 hrs. INTERVENTIONS: We recorded baseline characteristics at intensive care unit admission. Daily we measured multiple organ dysfunction score (MODS), use of advanced life support, patient preferences for life support, and intensivist and bedside intensive care unit nurse estimated probability of intensive care unit survival. MEASUREMENTS AND MAIN RESULTS: The 851 patients were aged 61.2 (+/- 17.6, mean + SD) yrs with an Acute Physiology and Chronic Health Evaluation (APACHE) II score of 21.7 (+/- 8.6). Three hundred and four patients (35.7%) died in the intensive care unit, and 341 (40.1%) were assessed by a physician at least once to have a < 10% intensive care unit survival probability. Independent predictors of intensive care unit mortality were baseline APACHE II score (hazard ratio, 1.16; 95% confidence interval, 1.08-1.24, for a 5-point increase) and daily factors such as MODS (hazard ratio, 2.50; 95% confidence interval, 2.06-3.04, for a 5-point increase), use of inotropes or vasopressors (hazard ratio, 2.14; 95% confidence interval, 1.66-2.77), dialysis (hazard ratio, 0.51; 95% confidence interval, 0.35-0.75), patient preference to limit life support (hazard ratio, 10.22; 95% confidence interval, 7.38-14.16), and physician but not nurse prediction of < 10% survival. The impact of physician estimates of < 10% intensive care unit survival was greater for patients without vs. those with preferences to limit life support (p < .001) and for patients with less vs. more severe organ dysfunction (p < .001). Mechanical ventilation, inotropes or vasopressors, and dialysis were withdrawn more often when physicians predicted < 10% probability of intensive care unit survival (all ps < .001). CONCLUSIONS: Physician estimates of intensive care unit survival < 10% are associated with subsequent life support limitation and more powerfully predict intensive care unit mortality than illness severity, evolving or resolving organ dysfunction, and use of inotropes or vasopressors.
2004
Identifier
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<a href="http://doi.org/10.1097/01.ccm.0000126402.51524.52" target="_blank" rel="noreferrer">10.1097/01.ccm.0000126402.51524.52</a>
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Article information provided for research and reference use only. PedPalASCNET does not hold any rights over the resource listed here. All rights are retained by the journal listed under publisher and/or the creator(s).
Type
The nature or genre of the resource
Journal Article
2004
APACHE
Artificial
Backlog
Canadian Critical Care Trials Group
Chi-Square Distribution
Clinical Competence/standards
Cook D
Critical Care Medicine
Critical Illness/mortality/therapy
Dodek P
Female
Finfer S
Guyatt G
Heyland D
Hospital Mortality
Hospital/standards
Humans
Intensive Care Units/statistics & numerical data
Journal Article
Kirby A
Level of Care Study Investigators
Levy M
Likelihood Functions
Male
Marshall J
McDonald E
Medical Staff
Middle Aged
Multiple Organ Failure/classification/mortality
Nursing Assessment/standards
Nursing Staff
Predictive Value of Tests
Prognosis
Proportional Hazards Models
Prospective Studies
Respiration
Risk Factors
Rocker G
Severity Of Illness Index
Sjokvist P
Survival Analysis
Weaver B