Figure 1
From: Discovery of novel CSF biomarkers to predict progression in dementia using machine learning
Patient demographics and identification of progressing groups. All CSF samples of patients were analysed by Olink proteomics and longitudinal MMSE measurements were collected. 210 patients with dementia and their MMSE scores over time were used to identify fast and slow decliners using latent class mixed models (LCMM). Shaded areas represent 95% confidence intervals. CSF cerebrospinal fluid, MMSE Mini-Mental State Examination.
