Table 1 Sample characteristics.

From: Improving diagnostic accuracy of the Montreal Cognitive Assessment to identify post-stroke cognitive impairment

Clinical characteristics

N = 351

Age, years (median, IQR)

69.3 (58.6–77.7)

Sex, female (%)

148 (42.2)

Years of education

13.0 (12.0–14.5)

Time of neuropsychological assessment, days post-stroke

2.0 (1.0–3.0)

NIHSS at admission

3.0 (1.0–8.0)

NIHSS 24 h

2.0 (0.0–3.5)

Recanalization therapy, yes

206 (58.7)

Lesion location, right

220 (62.7)

Diabetes mellitus

45 (12.8)

Atrial fibrillation

58 (16.5)

Arterial hypertension

241 (68.7)

Hyperlipidemia

289 (82.3)

Smoking

110 (31.3)

Coronary heart disease

101 (28.8)

Body mass index

26.1 (23.3–30.0)

Pre-stroke cognitive status (IQCODE)

3.0 (3.0–3.0)

MoCA(+1)

25.0 (21.0–27.0)

MoCAraw

24.0 (21.0–27.0)

Presence of acute PSCI in ≥ 2 domains

248 (70.7)

  1. Abbreviations: IQCODE, Informant Questionnaire on Cognitive Decline in the Elderly; IQR, interquartile range; MoCA, Montreal Cognitive Assessment; MoCA(+1), original MoCA-score with correction for years of education (+ 1 if years of education ≤ 12); MoCAraw, MoCA-score without correction for years of education; NIHSS, National Institutes of Health Stroke Scale; PSCI, post-stroke cognitive impairment. Data are presented as frequencies (%) for categorical variables; continuous variables are presented as median (25–75 IQR).
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