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Buffer Coefficient as a Predictor of the Prognosis of Massive Cerebral Infarction
Qing Tan1, Xia Shen2, Hongli Yang2
1Department of Neurology, Yongchuan Hospital, Chongqing Medical University, Chongqing, China; Department of Neurology, The First Affiliated Hospital, Chongqing Medical University, Chongqing, China; NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, Chongqing Medical University, Chongqing, China.
Objective:
To evaluate the prognostic value of the buffer coefficient, calculated as the ratio of the buffer volume (volume of intracranial cerebrospinal fluid) at the peak of brain edema to the baseline brain volume, and some other parameters in patients with massive cerebral infarction (MCI).
Methods:
The cohort comprised 161 patients with MCI who were divided into good and poor prognosis groups according to modified Rankin Scale score at 90 days after onset. Differences in clinical and imaging parameters between these groups were analyzed by univariate analysis, and multifactorial binary logistic regression analysis was used to further identify influencing factors that were significantly different. Receiver operating characteristic curve was used to evaluate the diagnostic performance between the buffer volume and the buffer coefficient.
Results:
The findings showed that a history of atrial fibrillation, intravenous tissue-type plasminogen activator administration, successful reperfusion, successful craniectomy, low-density lesion volume, brain volume, buffer volume, and buffer coefficient were significantly different between the poor and good prognosis groups (P < 0.05 for all comparisons). Multifactorial binary logistic regression analyses revealed that patients who had large low-density lesion volume and patients who had not achieved successful reperfusion or received intravenous tissue-type plasminogen activator were likely to have a poor prognosis (P < 0.05). The buffer coefficient was identified as an independent predictive factor for MCI (P < 0.001). The area under the receiver operating characteristic curve for the buffer coefficient was 0.862. When the cutoff value was 9.3%, sensitivity of predicting poor prognosis of patients with MCI was 94.7%.
Conclusions:
The buffer coefficient has potential benefits as a prognostic indicator for MCI that can be used to detect even subtle changes in brain edema.
