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. 2017 Oct 21;39(6):477–485. doi: 10.1093/eurheartj/ehx584

Table 1.

Demographics and baseline characteristics in the derivation and external validation cohorts

Variable Derivation N = 14 980 Validation N = 9369
Age (years) 70.0 (63.0–76.0) 72.0 (67.0–77.0)
Gender: female 35.6% (5331) 36.4% (3408)
Current smoker 8.1% (1219) [14] 7.7% (721) [0]
Alcohol 2.5% (378) 14.1% (1322)
Antiplatelet/NSAID 38.6% (5778) 43.4% (4063)
Diabetes 24.7% (3697) 22.2% (2079)
Heart failure 31.0% (4651) [0] 28.9% (2711) [1]
Hypertension 87.5% (13 114) 78.9% (7391)
Permanent or persistent AF 84.9% (12 711) [3] 67.6% (6333) [4]
Prior stroke/TIA 18.7% (2809) 19.5% (1823)
Prior myocardial infarction 12.9% (1926) [1] 17.0% (1589) [0]
Peripheral arterial disease 4.9% (730) [1] 3.7% (345) [1]
Vascular disease 24.8% (3723) 19.4% (1819)
Renal function (CKD-EPI, mL/min) 56.0 (45.3–68.0) [9] 64.8 (53.7–77.0) [91]
cTnI-hs (ng/L) 5.4 (3.3–10.1) [158] 6.9 (4.3–13.0) [454]
cTnT-hs (ng/L) 11.0 (7.5–16.7) [82] 12.2 (7.7–19.5) [650]
GDF-15 (ng/L) 1383.0 (977.0–2052.0) [181] 1514.0 (1109.5–2194.0) [718]
Hemoglobin (g/dL) 14.2 (13.2–15.3) [70] 14.3 (13.2–15.3) [159]
NT-proBNP (ng/L) 713.5 (363.0–1250.0) [87] 814.5 (391.0–1438.2) [73]

Variables are represented as median (Q1–Q3) or percentage (frequency). Numbers in brackets represents the number of missing values. A total of 8548 subjects in the validation cohort had complete data on all variables included in the final model and were used in the validation of the new risk model.

NSAID, non-steroidal anti-inflammatory drugs; AF, atrial fibrillation; TIA, transient ischaemic attack; eGFR, estimated glomerular filtration rate; cTn-hs, cardiac troponin with high sensitivity assay; NT-proBNP, N-terminal fragment B-type natriuretic peptide; GDF-15, growth differentiation factor 15; IL-6, interleukin-6.