Marchiafava-Bignami disease (MBD) is a neurological emergency primarily associated with alcohol use disorder. Its hallmark pathological feature is demyelination of the corpus callosum, and its clinical manifestations can resemble those of chronic alcoholic encephalopathy (CAE). We aimed to construct a predictive nomogram for the quick diagnosis of MBD. A retrospective observational study included patients with MBD and patients with CAE admitted to the Department of Neurology at our hospital between January 2013 and December 2021 according to the inclusion and exclusion criteria. All patients were randomly divided into two groups: derivation and validation groups at a ratio of 8:2. Multiple logistic regression with odds ratio and 95% confidence interval was performed to obtain independent related factors of MBD, which were included in the online dynamic nomogram of MBD prediction, and the discriminative ability of the nomogram was evaluated by the area under the receiver operating characteristic curve (AUC). The independent related factors of MBD included age, the Glasgow Coma Scale score, electrolyte abnormalities, thought disorders, hallucinations, impaired consciousness, and gamma-glutamyl transferase, which were incorporated in the predictive nomogram of MBD with an AUC of 0.829, and the AUC of the validation group was 0.836, exhibiting good discrimination ability. The nomogram aids physicians in the rapid diagnosis and differential diagnosis of MBD in patients with alcohol use disorder and neuropsychiatric disturbances.
Zhou et al. (Sat,) studied this question.