Table 1 Demographic characteristics of sample population.

From: A multimodal machine learning model for predicting dementia conversion in Alzheimer’s disease

Demographics

Non-converter 76% (149)

Converter 24% (47)

Statistic

p-value

Age (years), mean ± SD

71.66 ± 7.16

72.94 ± 6.64

1.08

0.28

MMSE, mean ± SD

26.46 ± 3.09

24.0 ± 3.24

-4.68

 < 0.001

Female sex, % (N)

57 (85)

55 (26)

\({\chi }^{2}\)= 0.04

0.83

CDR (Baseline), mean ± SD

0.5

0.5

-

-

CDR (Follow up), mean ± SD

0.5

1.13 ± 0.33

-

-

ApoE ε4 carrier, % (N)

31 (46)

49 (23)

\({\chi }^{2}\)= 5.11

0.02

Study interval, years

2.61 ± 0.50

2.69 ± 0.54

0.97

0.34

  1. SD, standard deviation; MMSE; Mini-mental State Examination, CDR; Clinical Dementia Rating. Chi-square tests for sex and ApoE ε4 carrier, two-sample t-tests for age, MMSE, and study interval.
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