1.Development of a nomogram for predicting the outcome in patients with consciousness disorder at six months based on the evaluative information
Liwei CHEN ; Jun ZHANG ; Xiangqiang MENG
Chinese Journal of Rehabilitation Medicine 2024;39(5):655-662
Objective:To establish a a robust and reliable nomogram for predicting the awake outcome of patients with consciousness disorder caused by brain injury at six months based on behavioral scale scores and neuroelectro-physiological techniques. Method:The clinical data(20 predictors)of patients with consciousness disorder who were first diagnosed and hospitalized in the Department of Rehabilitation Medicine of the First Affiliated Hospital of Nanchang Uni-versity from February l,2020 to Julyl,2021 were collected retrospectively.Outcome indicators were scored by the Glasgow Outcome Scale-Extended.After multiple imputation of missing values,the LASSO regression method was used to screen the optimized variables,then,the prediction model was constructed by Multivari-able Logistic regression analysis,and the nomogram was drawn.Finally,the performance of the model was evaluated by the receiver operating characteristic curve and calibration curves. Result:A total of 144 patients were included in this study according to inclusion and exclusion criteria,of which 79 had a good prognosis and 65 had a poor prognosis.Five predictors were screened out by LASSO lo-gistic regression analysis.Patients with high FOUR score,no pupil dilation,coma time<4 weeks,SEP grade I-Ⅱ,muscle tension ≤1+had a higher probability of good prognosis at 6 months.The AUC of the model is 0.98(95%CI:0.97-0.99)>0.75,and the prediction probability of calibration curve is in good agreement with the actual result,indicating that the model has good discrimination and calibration degree. Conclusion:The multi-domain prognostic model based on behavioral scale scores and neuroelectrophysiological techniques and clinical characteristics of patients with consciousness disorders has certain accuracy,which can provide partial reference for predicting the prognosis of patients consciousness disorders in early clinical stage.
2.Effect of repetitive transcranial magnetic stimulation combined with median nerve electrical stimulation on patients with prolonged disorders of consciousness in different age
Xiangqiang MENG ; Qi XIONG ; Gengfa CHEN ; Yang BAI ; Tianzi ZOU ; Zhen FENG
Chinese Journal of Rehabilitation Theory and Practice 2023;29(8):940-947
ObjectiveTo investigate the effect of combination with repetitive transcranial magnetic stimulation (rTMS) and median nerve electrical stimulation (MNS) on patients with prolonged disorders of consciousness (pDOC) in different age. MethodsFrom January, 2021 to May, 2023, 93 patients with pDOC in the First Affiliated Hospital of Nanchang University were divided into young group (≤ 45 years old), middle-aged group (46 to 60 years old) and elderly group (> 60 years old). All the groups were treated with rTMS and MNS for four weeks. The Coma Recovery Scale-Revised (CRS-R), Glasgow Coma Scale (GCS), and Full Outline of Unresponsiveness Scale (FOUR) were used to evaluate the efficiency of awakening after treatment and the awakening ratios were compared among three groups weekly. Four weeks after treatment, regional cerebral blood flow (rCBF) was measured with CT perfusion imaging. The score of Glasgow Outcome Scale Extended (GOS-E) was compared six months after treatment. ResultsFrom three weeks after treatment, the scores of CRS-R, GCS and FOUR increased in all groups (P < 0.05). After weekly treatment, there was no significant difference in the composition ratio of consciousness level and the awakening ratio among three groups (χ2 < 11.057, P > 0.05). After four weeks of treatment, rCBF improved in three groups (|t| > 2.495, P < 0.05), however, there was no difference among three groups (F < 1.887, P > 0.05). There was no difference in the score of GOS-E at six months after treatment (F = 3.083, P = 0.055). ConclusionrTMS combined with MNS is effective on pDOC patients in different ages, and elderly patients could also benefit from it.