Development of a nomogram for predicting the outcome in patients with prolonged disorders of consciousness based on the multimodal evaluative information.
BMC neurology April 23, 2025 Juanjuan Fu, Yongli Wu, Hui Feng et al. 1 citation
A nomogram prediction model integrating four factors—CRS-R score, brainstem auditory evoked potential (BAEP) grading, N60 classification of somatosensory evoked potentials, and estradiol level—accurately forecasts whether patients with prolonged disorders of consciousness (PDOC) after brain injury will show improved consciousness at six months. In a training cohort of 121 patients, 52.1% improved; in a validation cohort of 49 patients, 51% improved. The model achieved an area under the curve of 0.919 in the training set and 0.888 in the validation set, indicating strong discriminative ability. Calibration and decision curve analyses confirmed the model's accuracy and clinical net benefit.