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Table 2 TASOAC participant baseline characteristics

From: Single nucleotide polymorphism genes and mitochondrial DNA haplogroups as biomarkers for early prediction of knee osteoarthritis structural progressors: use of supervised machine learning classifiers

  Total (n = 229) Progressorsa (n = 71) No-progressorsa (n = 158) p-value
Age, years 62 ± 7 63 ± 7 61 ± 7 0.155
Gender, man, % (n) 48 (109) 37 (26) 53 (83) 0.032b
BMI, kg/m2 27.5 ± 4.5 28.3 ± 5.0 27.0 ± 4.1 0.127
WOMAC
 Pain (0–20) 1.3 ± 2.5 1.7 ± 2.8 1.2 ± 2.4 0.045
 Function (0–68) 4.4 ± 9.0 5.6 ± 10.4 3.8 ± 8.3 0.055
 Stiffness (0–8) 0.7 ± 1.3 1.0 ± 1.5 0.5 ± 1.2 0.002
 Total (0–96) 6.4 ± 12.4 8.3 ± 14.0 5.5 ± 11.6 0.027
Joint space width, mm 4.7 ± 1.0 3.8 ± 0.8 5.1 ± 0.8 < 0.0001
Joint space narrowing, scorec 0.5 ± 0.5 1.0 ± 0.2 0.3 ± 0.5 < 0.0001
  1. BMI Body mass index, WOMAC Western Ontario and McMaster Universities Osteoarthritis Index, mm Medial minimum, n Number of participants
  2. aStructural progressors and non-progressors were as defined in the “Methods” section
  3. Kellgren-Lawrence was unavailable for the Tasmanian Older Adult Cohort Study (TASOAC) cohort. Continuous variables were compared using the Student’s t-test/Mann–Whitney test; bproportions were compared using the chi-squared test/Fisher’s exact test; p-values compared progressors from the no-progressors, and a p ≤ 0.050 (in bold) were considered statistically different. The p-value in italic indicates that it did not quite reach the statistical significance
  4. cThe joint space narrowing (JSN) scoring was 0–2, as described [37]