OBJECTIVES: The primary objective of this analysis was to compare five different clinical measures and their impact on economic modelling. Clinical measures compared are the Mini-Mental State Examination (MMSE), the Cognitive Component Score (CCS), the Functional Component Score (FCS) the Behaviour Component Score (BCS), and the Dependence Scale (DS). METHODS: The MMSE, CCS, FCS, BCS and DS were compared in their ability to explain variation in clinical outcomes, economic- and other utilized resources, caregiver burden (Zarit Scale)  and  caregiver QoL (EQ-5D) using univariate (Pearson correlations) and multivariate (linear regression) analyses. Data on subjects and caregivers was obtained from multiple centres in Spain. RESULTS: In total 394 subjects, males and females aged 50 to 93 years old with mild cognitive impairment to severe dementia were included in this study. CCS, FCS, BCS and DS were moderately correlated with MMSE, with Pearson correlations ranging from -0.26 for BCS to -0.56 for CCS.  These four clinical measures were also moderately correlated with medical costs, Zarit Scale and EQ-5D while MMSE was not. These measures also performed better in explaining variation in medical costs, Zarit Scale and caregivers´ EQ-5D. MMSE performed better explaining variation in the number of concomitant conditions and caregiver time (hours per day). CONCLUSIONS: The CCS, FCS, BCS and DS are better predictors in modelling AD progression on a higher number of variables including medical costs, caregivers’ burden and caregivers QoL than the MMSE.