Development and Validation of a Mortality Prediction Model for Patients Receiving 14 Days of Mechanical Ventilation

被引:59
|
作者
Hough, Catherine L. [1 ]
Caldwell, Ellen S. [1 ]
Cox, Christopher E. [2 ]
Douglas, Ivor S. [3 ]
Kahn, Jeremy M. [4 ]
White, Douglas B. [4 ]
Seeley, Eric J. [5 ]
Bangdiwala, Shrikant I. [6 ,7 ]
Rubenfeld, Gordon D. [8 ]
Angus, Derek C. [4 ]
Carson, Shannon S. [6 ,7 ]
机构
[1] Univ Washington, Harborview Med Ctr, Sch Med, Div Pulm & Crit Care Med, Seattle, WA 98104 USA
[2] Duke Univ, Sch Med, Div Pulm Allergy & Crit Care Med, Durham, NC USA
[3] Univ Colorado, Sch Med, Div Pulm & Crit Care Med, Denver, CO USA
[4] Univ Pittsburgh, Sch Med, Dept Pulm & Crit Care Med, Clin Res Investigat & Syst Modeling Acute Illness, Pittsburgh, PA USA
[5] Univ Calif San Francisco, Sch Med, Div Pulm & Crit Care Med, San Francisco, CA USA
[6] Univ N Carolina, Cecil B Sheps Ctr Hlth Serv Res, Chapel Hill, NC USA
[7] Univ N Carolina, Div Pulm Dis & Crit Care Med, Chapel Hill, NC USA
[8] Univ Toronto, Sunnybrook Hlth Sci Ctr, Trauma Emergency & Crit Care Program, Toronto, ON, Canada
基金
美国国家卫生研究院;
关键词
communication; critical care; decision making; multiple organ failure; outcomes; prognosis; prolonged mechanical ventilation; DECISION-SUPPORT TOOL; INTENSIVE-CARE-UNIT; QUALITY-OF-LIFE; CRITICAL ILLNESS; RESOURCE UTILIZATION; OUTCOMES; TRIAL; ILL; PROGNOSTICATION; COMMUNICATION;
D O I
10.1097/CCM.0000000000001205
中图分类号
R4 [临床医学];
学科分类号
1002 ; 100602 ;
摘要
Objectives: The existing risk prediction model for patients requiring prolonged mechanical ventilation is not applicable until after 21 days of mechanical ventilation. We sought to develop and validate a mortality prediction model for patients earlier in the ICU course using data from day 14 of mechanical ventilation. Design: Multicenter retrospective cohort study. Setting: Forty medical centers across the United States. Patients: Adult patients receiving at least 14 days of mechanical ventilation. Interventions: None. Measurements and Main Results: Predictor variables were measured on day 14 of mechanical ventilation in the development cohort and included in a logistic regression model with 1-year mortality as the outcome. Variables were sequentially eliminated to develop the ProVent 14 model. This model was then generated in the validation cohort. A simplified prognostic scoring rule (ProVent 14 Score) using categorical variables was created in the development cohort and then tested in the validation cohort. Model discrimination was assessed by the area under the receiver operator characteristic curve. Four hundred ninety-one patients and 245 patients were included in the development and validation cohorts, respectively. The most parsimonious model included age, platelet count, requirement for vasopressors, requirement for hemodialysis, and nontrauma admission. The area under the receiver operator characteristic curve for the ProVent 14 model using continuous variables was 0.80 (95% CI, 0.76-0.83) in the development cohort and 0.78 (95% CI, 0.72-0.83) in the validation cohort. The ProVent 14 Score categorized age at 50 and 65 years old and platelet count at 100 x 10(9)/L and had similar discrimination as the ProVent 14 model in both cohorts. Conclusion: Using clinical variables available on day 14 of mechanical ventilation, the ProVent 14 model can identify patients receiving prolonged mechanical ventilation with a high risk of mortality within 1 year.
引用
收藏
页码:2339 / 2345
页数:7
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