ABSTRACT
Context: The Glasgow Coma Scale (GCS) is the most commonly used scale, and Full Outline of Unresponsiveness (FOUR) score is new validated coma scale as an alternative to GCS in the evaluation of the level of consciousness. Aim: The aim of the current study was to evaluate FOUR score and GCS ability in predicting the outcomes (Survivors, nonsurvivors) in Medical Intensive Care Unit (MICU). Setting and Design: This was an observational and prospective study of 300 consecutive patients admitted to the MICU during a 14 months' period. Materials and Methods: FOUR score, GCS score, and demographic characteristics of all patients were recorded in the first admission 24 h. Statistical Analysis Used: A receiver operator characteristic (ROC) curve, Hosmer–Lemeshow test, and Logistic regression were used in the statistical analysis (95% confidence interval). Results: Data analysis showed a significant statistical difference in FOUR score and GCS score between survivors and nonsurvivors (P < 0.0001, P < 0.0001; respectively). The discrimination power was good for both FOUR score and GCS (area under ROC curve: 87.3% (standard error [SE]: 2.1%), 82.6% [SE: 2.3%]; respectively). The acceptable calibration was seen just for FOUR score (χ2 = 8.059, P = 0.428). Conclusions: Both FOUR score and GCS are valuable scales for predicting outcomes in patients are admitted to the MICU; however, the FOUR score showed better discrimination and calibration than GCS, so it is superior to GCS in predicting outcomes in this patients population.
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Objective To Explored the relative factors which caused the extubation failure in neurological intensive care unit (NICU).Methods It was a retrospective study.40 cases of patients who met the criteria,were brought into statistical analysis.They were admitted in NICU in Nan Fang Hospital from December 2008 to February 2011.The name,sex,age,diagnosis,respiratory parameters,24 hours discrepancy quantity,sputum,and Glasgow Coma Scale,Full Outline of UnResponsiveness Scale were recorded.SPSS 13.0 was used as statistic software.P ＜ 0.05 was considered statistically significant.Results Both in extubation successful and failure groups,GCS and Four were significantly different (all P ＜ 0.05).Howerer,there were no statistically significant in the other factors.There were significantly differences between GCS and Four in predicting extubation results (P =0.012).Logistic multiple regression showed that Four and GCS grade were predictive factor of extubation failure (P =0.041).Conclusions The result suggests that it is statistically significant to use GCS and Four as factors to predict extubation results.It can be widely used to help medical personnels monitoring the changes of patients'clinical conditions,judging prognosis,and making treatment plan in NICU.Wether other factors would effect the extubation results,more prospective,randomized controlled studies were needed.
ABSTRACT
BACKGROUND: Cardiopulmonary resuscitation (CPR) can lead to various neurologic outcomes in patients with hypoxicischemic encephalopathy (HIE). This study investigated the usefulness of clinical markers and electroencephalography (EEG) in predicting the neurologic prognosis of HIE after CPR. METHODS: We reviewed the clinical findings of 51 patients with HIE, including the medical history, the duration from the onset of symptoms to the recovery of spontaneous circulation, Glasgow Coma Scale (GCS) and Full Outline of Unresponsiveness (FOUR) scores, and presence of seizure or status epilepticus. Patients were divided into three outcomes groups: death, persistent vegetative state, and recovering alertness and awareness. Digital EEG and visual and quantitative analyses were performed in each patient. For quantitative EEG (qEEG) analysis, we defined and compared the distance in the spatial band-power patterns and phase coherence patterns between healthy normal subjects and each patient. RESULTS: Patients with HIE showed a high mortality rate (54.9%, 28/51), and their neurologic prognosis was significantly related to the initial GCS and FOUR scores. In the qEEG analysis, patients' groups showed a prominent delta frequency band, and the healthy normal group presented a marked alpha predominance. As the severity decreased, the similarity in the spatial band-power pattern and functional connectivity pattern between normal subjects and patients increased. CONCLUSIONS: Low initial GCS and FOUR scores could be predictive of a poor neurologic prognosis in patients with HIE, and qEEG analysis might be a useful predictor of their neurologic outcomes.