Predictive biomarkers
Alzheimer's disease, ADAS‐cog
REGRESSION, ALZHEIMER'S DISEASE
Multiple linear regression analyses were used to generate predictive models for cognitive outcome in the ADAS‐cog (the higher score meaning a worse outcome) among the benzoate recipients (Table Multiple linear regression analyses (backward) of independent factors associated with ADAS‐cog improvements (score reduction from baseline to endpoint) in sodium benzoate groupThe variables were demographic and clinical characteristics including gender, age, age at illness onset, education, BMI, anti‐dementia medication use, benzoate dose, baseline ADAS‐cog score, and laboratory parameters at baseline including DAAO, and antioxidants (GSH, SOD and CAT). Significant variables are shown in the Table (ADAS‐cog, Alzheimer's disease assessment scale‐cognitive subscale; BMI, body mass index; CAT, catalase; DAAO, D‐amino acid oxidase; GSH, glutathione; SOD, superoxide dismutase.Baseline plasma CAT was correlated with ADAS‐cog improvement after treatment (Moreover, differences in the level of CAT were correlated with the magnitudes of ADAS‐cog improvement (score reduction from baseline to endpoint) (