2016
DOI: 10.4103/2229-5151.195401
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Usefulness of full outline of unresponsiveness score to predict extubation failure in intubated critically-ill patients: A pilot study

Abstract: Objective:To assess the usefulness of the full outline of unresponsiveness (FOUR) score in predicting extubation failure in critically ill intubated patients admitted with disturbed level of conscious in comparison with the Glasgow coma scale (GCS).Patients and Methods:All intubated critically ill patients with a disturbed level of consciousness were assessed using both the FOUR score and the GCS. The FOUR score and the GCS were compared regarding their predictive value for successful extubation at 14 days aft… Show more

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Cited by 9 publications
(13 citation statements)
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“…For longer-term mortality (beyond 2 weeks), FOUR score was determined to be mostly fair or good (AUC value, 0.70–0.89), as shown in eight studies, 14,25,26,30,31,34,44,50,52 two of which have low risk of bias 14,34 (Fig. 3).…”
Section: Resultsmentioning
confidence: 98%
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“…For longer-term mortality (beyond 2 weeks), FOUR score was determined to be mostly fair or good (AUC value, 0.70–0.89), as shown in eight studies, 14,25,26,30,31,34,44,50,52 two of which have low risk of bias 14,34 (Fig. 3).…”
Section: Resultsmentioning
confidence: 98%
“…In six studies, <50% of patients had an impairment of consciousness attributable to a neurological cause. 15,30–34 Fourteen reports included solely patients with TBI. 16,17,39–42,19,25–27,35–38 Twenty other studies included patients with non-traumatic neurological causes of impairment of consciousness, including brain tumor, intracranial aneurysm, stroke, encephalopathy, seizure, pneumocephalus, and hydrocephalus.…”
Section: Resultsmentioning
confidence: 99%
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“…There are several studies, noted that the calibration for GCS or other scoring systems is varying in different studies (24,25). These discrepancies and different sensitivity and specificity values in some studies (9,16,27) can be illuminated by the fact, when predictive models are used in a population different from the population for which it was first validated, they will not have the precision (13). Recalibrating these models frequently can be helpful to overcome these problems with considering the changes in population, quality of care and critical care management.…”
Section: Discussionmentioning
confidence: 99%