XXXX : Clinical characteristics and predictors.

@entity1 @entity410 @entity198 @entity11410 @entity14752 @entity1800 @entity51 @entity302
OBJECTIVE: To describe the etiologies, clinical presentations, outcomes, and predictors of @entity302 ( @entity302 ) in a large series of adult @entity1 with acute @entity198 . METHODS: We conducted a retrospective review of @entity1 diagnosed with acute @entity198 at Mayo Clinic, Rochester, between January 2000 and December 2012. The @entity1 were categorized into two groups based on the presence or absence of @entity302 at last follow-up. Multivariate logistic regression analysis was used to analyze factors associated with @entity302 . RESULTS: We identified 198 consecutive @entity1 (100 [50.5%] male and 98 [49.5%] female) with a median age of 58  years (range 41.8-69). Etiologies included @entity1800 (n  =  95, 48%), autoimmune (n  =  44, 22%), and unknown/others (n  =  59, 30%). During hospitalization, @entity410 were seen in @entity1 with @entity14752 (n  =  24, 54.5%), unknown/others (n  =  20, 33.9%), and @entity11410 (n  =  23, 24.2%). Interictal epileptiform discharges on electroencephalography (EEG) were present in 34 (54%), whereas periodic lateralized epileptiform discharges (PLEDs) and generalized periodic discharges (GPDs) were seen in 14 (41.2%) and 2 (5.9%) @entity1 . Forty-six @entity1 with @entity410 (70.8%) had fluid-attenuated inversion recovery (FLAIR)/T2 abnormalities, 20 (31.3%) diffusion abnormalities, and 43 (66.2%) cortical involvement. Good outcome at discharge among @entity1 with @entity410 was seen in 8/23 @entity1 with viral etiology (34.8%), 10/24 @entity1 with @entity14752 (45.5%), and 12/20 @entity1 with unknown cause (60%). @entity302 was present in 43 @entity1 (29.9%). On multivariate regression analysis, the factors associated with @entity302 were generalized @entity410 during hospitalization (p  =  0.03), focal @entity410 (p   <=  0.001), and the presence of FLAIR/T2 abnormalities on brain magnetic resonance imaging (MRI) (p  =  0.003). SIGNIFICANCE: The presence of @entity410 during hospitalization and an abnormal brain MRI are the strongest predictors of the development of @entity302 . The etiology of @entity198 , presence of focal @entity51 , and interictal EEG abnormalities did not influence the development of @entity302 .
