Serum lncRNA ITGB2-AS1 and ICAM-1 as novel biomarkers for rheumatoid arthritis and osteoarthritis diagnosis

BMC Medical Genomics

Table 3 Logistic regression analysis to predict the risk of RA

Parameter	β-coefficient	SE	P-value	OR	95% CI
Univariate analysis
*ITGB2-AS1*	0.838	0.383	0.028	2.313	1.093–4.896
*ITGB2* mRNA	2.054	1.024	0.045	7.79	1.048–58.021
ICAM-1	0.0029	0.0011	0.007	1.003	1.001–1.005
Multivariate analysis^a
*ITGB2-AS1*	1.176	0.525	0.025	3.24	1.159–9.061
*ITGB2* mRNA	1.79	7.78	0.9	6.024	0.95-52.521
ICAM-1	0.0038	0.0014	0.0075	1.004	1.001–1.006
Constant	− 2.2

Chi-square of the best multivariate logistic regression model = 45.146, P = 0.00, adjusted with age and sex as confounders using data of RA patients (n = 43) and healthy controls (n = 22). Bold indicates statistical significance, P < 0.05. ^a adjusted for age and sex in the multivariate analysis. CI, confidence interval; ICAM-1, intercellular adhesion molecule-1; ITGB2; integrin beta 2 subunit; ITGB2-AS1, integrin subunit beta 2-anti-sense RNA 1; OR, odds ratio; SE, standard error

ISSN: 1755-8794