Skip to main content

Table 3 Odd ratios of variables from selective models of 3 measurement sites

From: Prevalence and risk factors for bone loss in rheumatoid arthritis patients from South China: modeled by three methods

Detective sites Osteopenia Osteoporosis
Variables Odd ratios (95%CI) p Variables Odd ratios (95%CI) P
Lumber spinea Age 1.15 (1.10, 1.21) < 0.001 Age 1.25 (1.18, 1.33) < 0.001
BMI 0.88 (0.77, 0.99) 0.038 BMI 0.68 (0.57, 0.79) < 0.001
Serum 25(OH)D3 level 0.99 (0.98, 1.00) 0.030 Serum 25(OH)D3 level 0.97 (0.96, 0.98) < 0.001
TNFi usage in the last one year 0.27 (0.08, 0.84) 0.027   
Femoral neckb Age 1.17 (1.12, 1.22) < 0.001 Age 1.26 (1.18, 1.36) < 0.001
BMI 0.85 (0.77, 0.95) 0.003 BMI 0.62 (0.50, 0.75) < 0.001
Rheumatoid factor concentration 1.00 (0.99, 1.02) 0.183 Serum 25(OH)D3 level 0.98 (0.96, 0.99) 0.002
  sUA 1.00 (1.00, 1.01) 0.068
    Disease duration 1.00 (0.89, 1.13) 0.967
    Serum phosphate level 1.87 (0.48, 29.95) 0.631
Total hipc Age 1.11 (1.08, 1.15) < 0.001 Age 1.15 (1.10, 1.21 < 0.001
BMI 0.84 (0.77, 0.92) < 0.001 BMI 0.68(0.58,0.78) < 0.001
TNFi usage in the last one year 0.37 (0.14, 0.93) 0.040 sUA 1.01(1.00, 1.01) 0.001
  1. BMI Body mass index, 25(OH)D3 Calcifediol, TNFi Tumor necrosis factor-α inhibitor, sUA Serum uric acid level
  2. aPreselected logistic regression (models A) were optimal for both osteopenia and osteoporosis in lumber spine
  3. bLASSO (models B) were optimal for both osteopenia and osteoporosis in femoral neck (R)
  4. cModel A and B were optimal for osteopenia and osteoporosis respectively in total hip