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. 2020 Aug 7;60(1):316–321. doi: 10.1093/rheumatology/keaa353

Table 1.

Factors associated with BAS-Ga

Coefficient (95% CI)
Explanatory variable Univariable analysis Multivariable analysis
BASDAI Q1 (fatigue, 0–10) 0.68 (0.65, 0.70) 0.17 (0.13, 0.22)*
BASDAI Q2 (back pain, 0–10) 0.83 (0.81, 0.85) 0.51 (0.46, 0.56)*
BASDAI Q3 (peripheral joint pain, 0–10) 0.51 (0.48, 0.54) 0.08 (0.04, 0.12)*
BASDAI Q4 (enthesitis, 0–10) 0.60 (0.58, 0.62) 0.03 (−0.01, 0.07)
BASDAI Q5 (severity of morning stiffness, 0–10) 0.66 (0.64, 0.68) 0.08 (0.03, 0.13)*
BASDAI Q6 (duration of morning stiffness, 0–10) 0.50 (0.47, 0.53) 0.03 (−0.01, 0.07)
SJC28 (0–28) 0.14 (0.06, 0.23) 0.01 (−0.11, 0.13)
TJC53 (0–159)b 0.08 (0.07, 0.09) −0.01 (−0.02, 0.01)
MASES (0–39) 0.15 (0.14, 0.17) 0.00 (−0.02, 0.02)
CRP (mg/l) 0.04 (0.03, 0.05) 0.01 (−0.00, 0.01)
Any EMM (presence vs absence) −0.02 (−0.26, 0.22) −0.05 (−0.21, 0.11)
BASFI (0–10) 0.85 (0.82, 0.88) 0.14 (0.08, 0.19)*
BASMI linear (0–10) 0.69 (0.59, 0.80) −0.07 (−0.16, 0.02)
mNY grading (0–8) −0.16 (−0.25, −0.07) 0.01 (−0.03, 0.06)
mSASSS (0–72) −0.09 (−0.15, −0.03) −0.01 (−0.04, 0.02)
a

Associations of the potential explanatory variables of BAS-G and BAS-G are expressed as regression coefficient (95% CI) in generalized estimating equation models with the potential explanatory variables as independent time-varying variables and BAS-G as the dependent time-varying variable.

b

Total score of the 53 joints with each joint graded 0–3 (0 = no tenderness, 1 = tenderness, 2 = tenderness + grimace, 3 = tenderness + grimace + withdrawal).

*

P-value <0.05 (multivariable analysis). BASDAI Q1–6: individual component questions of BASDAI; EMM: extra-musculoskeletal manifestations; MASES: Maastricht Ankylosing Spondylitis Enthesitis Score; mNY grading: modified New York grading; mSASSS: modified Stoke Ankylosing Spondylitis Spine Score; SJC28: swollen joint count in the 28 joints; TJC53: tender joint score in the 53 joints.