Table 2 Relationship between TL and parameters at the baseline.

From: The impact of time length to Boolean remission for tight disease activity control after acquisition in rheumatoid arthritis patients

Parameters

Linear regression analysis

Binary logistic regression analysis in regard to the cut-off index of TL

Univariate model

Multivariate model

Coefficients (95% CI)

p-value

Coefficients (95% CI)

p-value

Odds ratio

Age

0.037 (− 0.053 to 0.120)

0.45

   

ACPA

0.000 (− 0.002 to 0.003)

0.80

   

RF

0.001 (− 0.004 to 0.006)

0.61

   

Disease duration

0.181 (0.026 to 0.336)

< 0.05

0.068 (− 0.229 to 0.365)

0.65

0.967

TJC

0.190 (− 0.218 to 0.598)

0.35

   

SJC

− 0.007 (− 0.265 to 0.251)

0.96

   

PGA

0.397 (− 0.041 to 0.835)

0.076

   

EGA

0.308 (− 0.288 to 0.903)

0.31

   

CRP

− 0.079 (− 0.531 to 0.372)

0.73

   

DAS28

0.567 (− 0.475 to 1.609)

0.29

   

CDAI

0.054 (− 0.062 to 0.171)

0.36

   

SDAI

0.032 (− 0.068 to 0.133)

0.53

   

HAQ-DI

2.696 (0.596 to 4.796)

< 0.05

− 2.208 (− 5.504 to 1.351)

0.23

0.999

PS-VAS

0.064 (0.023 to 0.104)

< 0.01

0.097 (0.034 to 0.159)

< 0.01

0.988

SHS

0.052 (0.031 to 0.072)

< 0.001

0.060 (0.030 to 0.091)

< 0.001

0.994

QOLS

− 19.792 (− 31.55 to − 8.03)

< 0.01

− 25.994 (− 42.049 to − 9.938)

< 0.001

24.789

  1. TL time length from the baseline to the first Boolean remission, ACPA anti-cyclic citrullinated polypeptide antibodies, RF rheumatoid factor, TJC tenderness joint count, SJC swollen joint count, PGA patient's global assessment, EGA evaluator's global assessment, CRP C-reactive protein, DAS28 28-joints disease activity score, CDAI clinical disease activity index, SDAI simplified disease activity index, HAQ-DI Health Assessment Questionnaire Disability Index, PS-VAS pain score using visual analog scale, SHS Sharp/van der Heijde Score, QOLS quality of life score.
  2. Statistical analyses were performed using univariate linear regression analysis as the time span was defined as dependent factor and the parameters were defined as independent factors, and then multivariate linear regression analysis was performed with the parameters that demonstrated significant correlation with the univariate model.
  3. Statistically significant columns are shown in bold style.