Fig. 2: Cluster characteristics and prognostic outcomes for AD and PD. | Nature Aging

Fig. 2: Cluster characteristics and prognostic outcomes for AD and PD.

From: Subtyping Alzheimer’s disease and Parkinson’s disease using longitudinal electronic health records

Fig. 2

a,b, Cluster labels and main characteristics for both AD (a) and PD (b). c, AD population distribution on CPRD validation dataset (total n = 22,664), 5-year mortality and hospitalization rates for AD, mortality global log-rank P = 2.7 × 10−50; hospitalization global log-rank P = 3.0 × 10−18. d, PD population distribution (total N = 8,946), mortality global log-rank P = 2.1 × 10−24; hospitalization global log-rank P = 1.5 × 10−4. Solid lines represent the estimated survival or hospitalization rates, and shaded regions represent the 95% CIs (c and d). e, AD 5-year post-diagnosis mean MMSE scores across clusters. Data are shown as violin plots, with a narrow box-and-whisker overlay indicating the median (center line), upper and lower quartiles (box limits) and whiskers extending to ±1.5× the IQR; individual points beyond the whiskers represent outliers. Statistical differences between clusters were assessed using two-sided Mann–Whitney U tests. Number of samples: cluster 1, 1,618; cluster 2, 1,435; cluster 3, 863; cluster 4, 545, cluster 5, 989. f, The 10-year MMSE scores trend; the bars represent mean ± standard error of mean (s.e.m.) at each point. The dotted line represents AD diagnoses. Sample size per cluster (patients with more than one MMSE in 10 years): cluster 1, 1,767; cluster 2, 1,623; cluster 3, 1,046; cluster 4, 768, cluster 5, 1,179.

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