Critical Care Medicine: June 2016 -
Volume 44 - Issue 6 - p 1042–1048
Kramer, A et al
Objectives: To develop a model that predicts the duration of
mechanical ventilation and then to use this model to compare observed versus
expected duration of mechanical ventilation across ICUs. Design: Retrospective
cohort analysis. Setting: Eighty-six eligible ICUs at 48 U.S. hospitals.
Patients: ICU patients receiving mechanical ventilation on day 1 (n = 56,336)
admitted from January 2013 to September 2014. Interventions: None. Measurements
and Main Results: We developed and validated a multivariable logistic
regression model for predicting duration of mechanical ventilation using ICU
day 1 patient characteristics. Mean observed minus expected duration of
mechanical ventilation was then obtained across patients and for each ICU. The
accuracy of the model was assessed using R2. We defined better performing units
as ICUs that had an observed minus expected duration of mechanical ventilation
less than –0.5 days and a p value of less than 0.01; and poorer performing
units as ICUs with an observed minus expected duration of mechanical
ventilation greater than +0.5 days and a p value of less than 0.01. The factors
accounting for the majority of the model’s explanatory power were diagnosis
(71%) and physiologic abnormalities (24%). For individual patients, the difference
between observed and mean predicted duration of mechanical ventilation was 3.3
hours (95% CI, 2.8–3.9) with R2 equal to 21.6%. The mean observed minus
expected duration of mechanical ventilation across ICUs was 3.8 hours (95% CI,
2.1–5.5), with R2 equal to 69.9%. Among the 86 ICUs, 66 (76.7%) had an observed
mean mechanical ventilation duration that was within 0.5 days of predicted.
Five ICUs had significantly (p < 0.01) poorer performance (observed minus
expected duration of mechanical ventilation, > 0.5 d) and 14 ICUs
significantly (p < 0.01) better performance (observed minus expected
duration of mechanical ventilation, < −0.5 d). Conclusions: Comparison of
observed and case-mix–adjusted predicted duration of mechanical ventilation can
accurately assess and compare duration of mechanical ventilation across ICUs,
but cannot accurately predict an individual patient’s mechanical ventilation
duration. There are substantial differences in duration of mechanical
ventilation across ICU and their association with unit practices and processes
of care warrants examination.
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