Table 6.
Univariate logistic analysis of factors predicting clinical response
| Parameters | Univariate logistic regression model | |||
|---|---|---|---|---|
| P value | OR | 95% CI | ||
| Lower | Higher | |||
| miR‐192‐5p | 0.143 | 0.755 | 0.518 | 1.100 |
| miR‐146a‐5p | 0.006 | 1.508 | 1.127 | 2.018 |
| miR‐19b‐3p | 0.204 | 0.724 | 0.439 | 1.192 |
| miR‐320c | 0.111 | 0.768 | 0.555 | 1.063 |
| miR‐335‐5p | 0.220 | 1.198 | 0.898 | 1.598 |
| miR‐149‐3p | 0.139 | 1.199 | 0.943 | 1.525 |
| miR‐766‐3p | 0.775 | 1.027 | 0.856 | 1.231 |
| let‐7a‐5p | 0.003 | 0.677 | 0.521 | 0.879 |
| miR‐24‐3p | 0.216 | 0.806 | 0.573 | 1.134 |
| miR‐1226‐5p | 0.064 | 1.321 | 1.022 | 1.708 |
| Age | 0.242 | 0.983 | 0.954 | 1.012 |
| Gender, female | 0.328 | 0.619 | 0.237 | 1.617 |
| Disease duration | 0.166 | 0.992 | 0.980 | 1.003 |
| ESR | 0.154 | 1.018 | 0.993 | 1.042 |
| CRP | 0.003 | 1.060 | 1.020 | 1.102 |
| DAS28 score | 0.115 | 1.469 | 0.910 | 2.370 |
| RF positive | 0.189 | 1.894 | 0.730 | 4.914 |
| ACPA positive | 0.154 | 1.971 | 0.776 | 5.011 |
| Biologics history | 0.076 | 0.325 | 0.094 | 1.123 |
| Concomitant medications (MTX vs LEF) | 0.662 | 1.211 | 0.513 | 2.861 |
Univariate logistic regression model was used to analyze the factors at baseline in predicting clinical response in RA patients treated with TNF inhibitors. P value < 0.05 was considered significant.
Abbreviations: ACPA, anti‐citrullinated protein antibody; CI, confidence interval; CRP, C‐reactive protein; DAS28, disease activity score in 28 joints; ESR, erythrocyte sedimentation rate; MTX, methotrexate; LEF, leflunomide; OR, odds ratio; RF, rheumatoid factor.