Objectives
To identify clusters of patients with incident mild cognitive impairment based on their neuropsychiatric symptoms (NPS) and to examine the risk of progression to dementia, based on these clusters.
Design
Cohort study with 2 years median length follow-up. Setting: Alzheimer’s disease Centers from the National Alzheimer’s Coordinating Center (NACC).
Participants
Patients with MCI who were at least 60 years old with complete data and follow-up (n = 540).
Measurements
Latent class analysis was used to identify clusters of patients based on their NPS, and Cox proportional hazards models were used to examine risk of progression to dementia based on clusters. Incident MCI was defined as a participant having MCI at a current visit, but having been cognitively normal at his or her previous (yearly) visit. NPI-Q assessed presence of twelve neuropsychiatric behavioral domains.
Results
Three clusters were identified: a severe cluster (agitation, anxiety, apathy, nighttime behaviors, inhibition), an affective cluster (depression, anxiety, irritability, nighttime behaviors), and an asymptomatic cluster. The prevalence of each class was 56% for the asymptomatic class followed by the affective class (37%) and finally the severe class (7%). Compared to the asymptomatic class, the severe class had more than twice the hazard of progression to dementia (2.69, CI: 1.12–2.70) and the affective class had over one and a half times the hazard of progression to dementia (1.79, CI: 1.12–2.70).
Conclusions
Among persons with incident MCI, patterns of NPS may increase the likelihood of progression to dementia. Implications for early detection and treatment are discussed.