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. 2023 Jul 17;10(2):e002315. doi: 10.1136/openhrt-2023-002315

Table 3.

Characteristics of the population by latent classes

Characteristic Class 1
(n=5527)
Class 2
(n=2411)
Class 3
(n=327)
P value
Age (years) 44.5±10.8 57.0±11.3 63.0±8.4 <0.001
Women 3046 (55.1%) 1012 (42.0%) 87 (26.6%) <0.001
Caucasian ethnicity 5239 (95.4%) 2288 (96.1%) 317 (97.8%) 0.062
Follow-up duration (years) 9.3±2.0 9.2±2.1 8.5±2.6 <0.001
No of comorbidities 1.0 (0.0–1.0) 2.0 (2.0–3.0) 4.0 (3.0–4.0) <0.001
0 1424 (29.0%) 0 (0.0%) 0 (0.0%)
1–3 3863 (73.1%) 2039 (91.5%) 128 (42.5%)
≥4 0 (0.0%) 190 (8.5%) 173 (57.5%)
Hypertension 0 (0.0%) 2337 (98.3%) 205 (64.9%) <0.001
Heart failure 0 (0.0%) 0 (0.0%) 18 (5.5%) <0.001
Type 2 diabetes 53 (1.0%) 201 (8.5%) 56 (17.6%) <0.001
Hypercholesterolaemia 69 (1.3%) 103 (4.6%) 189 (59.6%) <0.001
Obesity 531 (9.7%) 694 (29.0%) 62 (19.1%) <0.001
Previous myocardial infarction 5 (0.1%) 0 (0.0%) 246 (75.9%) <0.001
Previous stroke 28 (0.5%) 36 (1.5%) 17 (5.3%) <0.001
Peripheral artery disease 82 (1.5%) 152 (6.7%) 57 (18.8%) <0.001
Renal impairment 120 (2.2%) 257 (10.7%) 99 (27.5%) <0.001
Microalbuminuria 3597 (65.1%) 1895 (78.6%) 267 (81.7%) <0.001

Latent class analysis based on hypertension, heart failure, type 2 diabetes, hypercholesterolaemia, obesity, previous myocardial infarction, previous stroke, peripheral artery disease, renal impairment, microalbuminuria and incident atrial fibrillation.