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ABSTRACT: Background
Trajectories of depression over time may be heterogeneous in Multiple Sclerosis (MS) patients. Describing these trajectories will help clinicians understand better the progression of depression in MS patients to aid in patient care decisions.Methods
Latent class growth analysis (LCGA) was applied to 3507 MS patients using an electronic health records (EHR) data base to identify subgroups of MS patients based on self-reported depression screening (PHQ-9). Latent trajectory classes were used for group comparisons based on baseline clinical characteristics.Results
Three subgroups were found characterized by high (10.0% [of participants]), wavering above and below moderate (26.2%) and low and variable (63.8%) depression level trajectories. The subpopulation t
SUBMITTER: Gunzler DD
PROVIDER: S-EPMC5031243 | biostudies-literature | 2016 Sep
REPOSITORIES: biostudies-literature