ABSTRACT
To explore the usability of regional saturation of cerebral oxygenation (rScO2) combined with percentage of α variability (PAV) in predicting brain function prognosis in patients with traumatic brain injury (TBI). Methods A retrospective analysis was conducted. The clinical data of patients with TBI who were monitored rScO2 and bedside quantitative electroencephalogram (qEEG) admitted to intensive care unit (ICU) of Henan Provincial People's Hospital from August 2018 to July 2019 were collected. The rScO2, PAV, and Glasgow coma scale (GCS) score were recorded within 72 hours after the TBI. The primary prognostic indicator was the 3-month Glasgow outcome score (GOS) score. The differences between the two groups of poor prognosis of brain function (GOS score 1-3) and good prognosis (GOS score 4-5) were compared. Binary multivariate Logistic regression analysis was used to analyze the correlation between rScO2, PAV, GCS score and the prognosis of brain function in patients with TBI. In addition, receiver operating characteristic (ROC) curve was plotted to analyze the predicting value of rScO2 and PAV only or combination for prognosis of brain function. Results A total of 42 patients with TBI were enrolled in the study, with rScO2≥0.60 (grade Ⅰ) in 14 patients, 0.50≤rScO2 < 0.60 (grade Ⅱ) in 16 patients,and rScO2 < 0.50 (grade Ⅲ) in 12 patients. PAV 3-4 scores (grade Ⅰ) were detected in 16 patients, 2 scores (grade Ⅱ) in 17 patients, and 1 score (grade Ⅲ) in 9 patients. GCS score 9-14 (grade Ⅰ) were observed in 13 patients,4-8 (grade Ⅱ) in 23 patients, and 3 (grade Ⅲ) in 6 patients; 18 patients had poor prognosis and 24 had good one. The rScO2, PAV and GCS scores of the poor-prognosis group were significantly higher than those in the good-prognosis group [rScO2 with grade Ⅲ: 55.6% (10/18) vs. 8.3% (2/24), PAV with grade Ⅲ: 38.9% (7/18) vs. 8.4% (2/24), GCS score with grade Ⅲ: 27.7% (5/18) vs. 4.1% (1/24)] with significant differences (all P < 0.05). There was no significant difference in other general data including gender, age, total length of hospital stay or acute physiology and chronic health evaluation Ⅱ (APACHEⅡ) score between the two groups. Binary multivariate Logistic regression analysis showed that rScO2 and PAV were independent risk factors for prognosis of brain in patients with TBI [rScO2: odds ratio (OR) = 4.656, 95% confidence interval (95%CI) was 1.071-20.233, P = 0.040; PAV: OR = 3.525, 95%CI was 1.044-11.906, P = 0.042]. ROC curve analysis showed that both of rScO2 and PAV had predictive value for the prognosis of brain function in patients with TBI (AUC was 0.796 and 0.780, respectively, both P < 0.01), and rScO2 combined with PAV had higher predictive value with the AUC of 0.851 (P < 0.01) than rScO2 or PAV alone, the sensitivity was 94.4% and the specificity was 62.5%. Conclusions rScO2 and PAV were associated with early brain function prognosis in patients with TBI. The combination of two monitoring indicators can reliably assess the prognosis of brain function in patients with TBI.
ABSTRACT
Objective@#To explore the usability of regional saturation of cerebral oxygenation (rScO2) combined with percentage of α variability (PAV) in predicting brain function prognosis in patients with traumatic brain injury (TBI).@*Methods@#A retrospective analysis was conducted. The clinical data of patients with TBI who were monitored rScO2 and bedside quantitative electroencephalogram (qEEG) admitted to intensive care unit (ICU) of Henan Provincial People's Hospital from August 2018 to July 2019 were collected. The rScO2, PAV, and Glasgow coma scale (GCS) score were recorded within 72 hours after the TBI. The primary prognostic indicator was the 3-month Glasgow outcome score (GOS) score. The differences between the two groups of poor prognosis of brain function (GOS score 1-3) and good prognosis (GOS score 4-5) were compared. Binary multivariate Logistic regression analysis was used to analyze the correlation between rScO2, PAV, GCS score and the prognosis of brain function in patients with TBI. In addition, receiver operating characteristic (ROC) curve was plotted to analyze the predicting value of rScO2 and PAV only or combination for prognosis of brain function.@*Results@#A total of 42 patients with TBI were enrolled in the study, with rScO2≥0.60 (grade Ⅰ) in 14 patients, 0.50≤rScO2 < 0.60 (grade Ⅱ) in 16 patients, and rScO2 < 0.50 (grade Ⅲ) in 12 patients. PAV 3-4 scores (grade Ⅰ) were detected in 16 patients, 2 scores (grade Ⅱ) in 17 patients, and 1 score (grade Ⅲ) in 9 patients. GCS score 9-14 (grade Ⅰ) were observed in 13 patients, 4-8 (grade Ⅱ) in 23 patients, and 3 (grade Ⅲ) in 6 patients; 18 patients had poor prognosis and 24 had good one. The rScO2, PAV and GCS scores of the poor-prognosis group were significantly higher than those in the good-prognosis group [rScO2 with grade Ⅲ: 55.6% (10/18) vs. 8.3% (2/24), PAV with grade Ⅲ: 38.9% (7/18) vs. 8.4% (2/24), GCS score with grade Ⅲ: 27.7% (5/18) vs. 4.1% (1/24)] with significant differences (all P < 0.05). There was no significant difference in other general data including gender, age, total length of hospital stay or acute physiology and chronic health evaluation Ⅱ (APACHEⅡ) score between the two groups. Binary multivariate Logistic regression analysis showed that rScO2 and PAV were independent risk factors for prognosis of brain in patients with TBI [rScO2: odds ratio (OR) = 4.656, 95% confidence interval (95%CI) was 1.071-20.233, P = 0.040; PAV: OR = 3.525, 95%CI was 1.044-11.906, P = 0.042]. ROC curve analysis showed that both of rScO2 and PAV had predictive value for the prognosis of brain function in patients with TBI (AUC was 0.796 and 0.780, respectively, both P < 0.01), and rScO2 combined with PAV had higher predictive value with the AUC of 0.851 (P < 0.01) than rScO2 or PAV alone, the sensitivity was 94.4% and the specificity was 62.5%.@*Conclusions@#rScO2 and PAV were associated with early brain function prognosis in patients with TBI. The combination of two monitoring indicators can reliably assess the prognosis of brain function in patients with TBI.
ABSTRACT
Objective To explore the characteristic of early evaluation of patients with amplitude-integrated electroencephalogram (aEEG) on brain function prognosis after cardiopulmonary cerebral resuscitation (CPCR). Methods A retrospective analysis of the clinical data of patients with adult CPCR in intensive care unit (ICU) of Henan Provincial People's Hospital from March 2016 to March 2017 was performed. The length of stay, recovery time, acute physiology and chronic health evaluation Ⅱ (APACHE Ⅱ) score, aEEG and Glasgow coma scale (GCS) within 72 hours were recorded. The main clinical outcome was the prognosis of brain function (Glasgow-Pittsburgh cerebral performance category, CPC) in patients with CPCR after 3 months. Relationship between aEEG and GCS and their correlation with brain function prognosis was analyzed by Spearman rank correlation analysis. The effects of aEEG and GCS on prognosis of brain function were evaluated by Logistic regression analysis. The predictive ability of aEEG and GCS for brain function prognosis was evaluated by receiver operating characteristic (ROC) curve.Results A total of 31 patients with CPCR were enrolled, with 18 males and 13 females; mean age was (41.84±16.96) years old; recovery time average was (19.42±10.79) minutes; the length of stay was (14.84±10.86) days; APACHE Ⅱ score 19.29±6.42; aEEG grade Ⅰ(normal amplitude) in 7 cases, grade Ⅱ (mild to moderate abnormal amplitude) in 13 cases, grade Ⅲ (severe abnormal amplitude) in 11 cases; GCS grade Ⅰ (9-14 scores) in 7 cases, grade Ⅱ (4-8 scores) in 14 cases, grade Ⅲ (3 scores) in 10 cases; 19 survivals, 12 deaths; the prognosis of brain function was good (CPC 1-2) in 8 cases, and the prognosis of brain function was poor (CPC 3-5) in 23 cases. There was no significant difference in age, gender, recovery time, length of stay and APACHE Ⅱ score between two groups with different brain function prognosis, while aEEG grade and GCS grade were significantly different. Cochran-Armitage trend test showed that the higher the grade of aEEG and GCS, the worse the prognosis of CPCR patients (bothP-trend < 0.01). With the increase in GCS classification, the classification of aEEG was also increasing (r = 0.6206,P = 0.0003). Both aEEG and GCS were positively correlated with the prognosis of brain function (r1 = 0.7796,P1 < 0.0001;r2 = 0.7021,P2 < 0.0001). Univariate Logistic regression analysis showed that aEEG and GCS had significant effect on early brain function prognosis [aEEG: odds ratio (OR) = 37.234, 95％confidence interval (95％CI) = 3.168-437.652,P = 0.004, GCS:OR = 12.333, 95％CI = 1.992-76.352,P = 0.007]; after adjusting for aEEG and GCS, only aEEG had significant effect on the early prognosis of brain function (OR = 26.932, 95％CI = 1.729-419.471,P = 0.019). The ROC curve analysis showed that in the evaluation of the prognosis of CPCR patients with brain function, the area under ROC curve (AUC) of aEEG was 0.913, when the cut-off value of aEEG was 1.5, the sensitivity was 95.7％ and the specificity was 75.0％. The AUC of GCS was 0.851, the best cut-off value was 1.5, the sensitivity was 91.3％ and the specificity was 62.5％.Conclusion aEEG and GCS scores have a good correlation in the evaluation of brain function prognosis in patients with CPCR, the accuracy of aEEG in the early evaluation of the prognosis of patients with CPCR is higher than the GCS score.
ABSTRACT
Objective To explore the characteristic of early evaluation of patients with amplitude-integrated electroencephalogram (aEEG) on brain function prognosis after cardiopulmonary cerebral resuscitation (CPCR). Methods A retrospective analysis of the clinical data of patients with adult CPCR in intensive care unit (ICU) of Henan Provincial People's Hospital from March 2016 to March 2017 was performed. The length of stay, recovery time, acute physiology and chronic health evaluation Ⅱ (APACHE Ⅱ) score, aEEG and Glasgow coma scale (GCS) within 72 hours were recorded. The main clinical outcome was the prognosis of brain function (Glasgow-Pittsburgh cerebral performance category, CPC) in patients with CPCR after 3 months. Relationship between aEEG and GCS and their correlation with brain function prognosis was analyzed by Spearman rank correlation analysis. The effects of aEEG and GCS on prognosis of brain function were evaluated by Logistic regression analysis. The predictive ability of aEEG and GCS for brain function prognosis was evaluated by receiver operating characteristic (ROC) curve.Results A total of 31 patients with CPCR were enrolled, with 18 males and 13 females; mean age was (41.84±16.96) years old; recovery time average was (19.42±10.79) minutes; the length of stay was (14.84±10.86) days; APACHE Ⅱ score 19.29±6.42; aEEG grade Ⅰ(normal amplitude) in 7 cases, grade Ⅱ (mild to moderate abnormal amplitude) in 13 cases, grade Ⅲ (severe abnormal amplitude) in 11 cases; GCS grade Ⅰ (9-14 scores) in 7 cases, grade Ⅱ (4-8 scores) in 14 cases, grade Ⅲ (3 scores) in 10 cases; 19 survivals, 12 deaths; the prognosis of brain function was good (CPC 1-2) in 8 cases, and the prognosis of brain function was poor (CPC 3-5) in 23 cases. There was no significant difference in age, gender, recovery time, length of stay and APACHE Ⅱ score between two groups with different brain function prognosis, while aEEG grade and GCS grade were significantly different. Cochran-Armitage trend test showed that the higher the grade of aEEG and GCS, the worse the prognosis of CPCR patients (bothP-trend < 0.01). With the increase in GCS classification, the classification of aEEG was also increasing (r = 0.6206,P = 0.0003). Both aEEG and GCS were positively correlated with the prognosis of brain function (r1 = 0.7796,P1 < 0.0001;r2 = 0.7021,P2 < 0.0001). Univariate Logistic regression analysis showed that aEEG and GCS had significant effect on early brain function prognosis [aEEG: odds ratio (OR) = 37.234, 95％confidence interval (95％CI) = 3.168-437.652,P = 0.004, GCS:OR = 12.333, 95％CI = 1.992-76.352,P = 0.007]; after adjusting for aEEG and GCS, only aEEG had significant effect on the early prognosis of brain function (OR = 26.932, 95％CI = 1.729-419.471,P = 0.019). The ROC curve analysis showed that in the evaluation of the prognosis of CPCR patients with brain function, the area under ROC curve (AUC) of aEEG was 0.913, when the cut-off value of aEEG was 1.5, the sensitivity was 95.7％ and the specificity was 75.0％. The AUC of GCS was 0.851, the best cut-off value was 1.5, the sensitivity was 91.3％ and the specificity was 62.5％.Conclusion aEEG and GCS scores have a good correlation in the evaluation of brain function prognosis in patients with CPCR, the accuracy of aEEG in the early evaluation of the prognosis of patients with CPCR is higher than the GCS score.