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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Journal of Critical ...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Journal of Critical Care
Article . 2013 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Clinical model for predicting prolonged mechanical ventilation

Authors: Paul A, Clark; Christopher J, Lettieri;

Clinical model for predicting prolonged mechanical ventilation

Abstract

Mechanical ventilation (MV) predisposes patients to numerous complications, which increases with longer durations of treatment. Identifying individuals more likely to require prolonged MV (PMV) may alter ventilation strategies or potentially minimize the duration of therapy and its associated complications. Our aim was to identify clinical variables at the time of intubation that could identify individuals who will require PMV.One hundred thirty consecutive adult patients requiring MV support in a medical intensive care unit (ICU)were retrospectively assessed. Prolonged MV was defined as MV support more than 14 days.Mean age was 62.3±21.1 years, 64.6% were men, and mean duration of MV support was 11.4±11.9 days. Prolonged MV was required in 31.3%. Requiring intubation after admission to the ICU, heart rate greater than 110, blood urea nitrogen more than 25 mg/dL, serum pH less than 7.25, serum creatinine more than 2.0 mg/dL, and a HCO3 less than 20 mEq/L were the only variables independently associated with PMV. Specificity for predicting PMV was 100% with 4 or more of these variables.The novel predictive model, using Intubation in the ICU, Tachycardia, Renal dysfunction, Acidemia, elevated Creatinine, and a decreased HCO3, was highly specific in identifying patients who subsequently required PMV support and performed better than Acute Physiology Age Chronic Health Evaluation III.

Keywords

Adult, Male, Time Factors, Length of Stay, Middle Aged, Respiration, Artificial, Intensive Care Units, Predictive Value of Tests, Health Status Indicators, Humans, Female, Ventilator Weaning, Retrospective Studies

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
32
Top 10%
Top 10%
Top 10%
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