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Trajectories of the Mini\u2010Mental State Examination (MMSE) and Clinical Dementia Rating sum of boxes (CDR\u2010sb) were modelled jointly over time using parallel\u2010process growth mixture models in order to identify latent classes of trajectories. Bias\u2010corrected multinomial logistic regression was used to identify baseline predictors of class membership and compare these with the predictors found in the Cache County Dementia Progression Study.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>The best\u2010fitting model contained 3 classes: Class 1 was the largest (63%) and showed the slowest progression on both MMSE and CDR\u2010sb; classes 2 (22%) and 3 (15%) showed moderate and rapid worsening, respectively. Significant predictors of membership in classes 2 and 3, relative to class 1, were worse baseline MMSE and CDR\u2010sb, higher education, and lack of hypertension. 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