Table 4.

Multivariable ordinal logistic regression to investigate the association between RVE1 and TPOAb

Interquartile range of TPOAb	Q1 (< 13.6 U/mL) (n = 14)	Q2 (13.6–106 U/mL) (n = 14)	Q3 (106–431 U/mL) (n = 15)	Q4 (> 431 U/mL) (n = 14)
b RVE1 Levels	26.16 (19.53–38.64)	31.39 (23.79–62.31)	28.51 (17.03–40.38)	19.21 (15.11–26.01) *	a P for trend = 0.036
Multivariable ordinal logistic regression
	β (95 % CI)		OR (95 % CI)		P value
Model 1	-0.024 (-0.045, -0.003)		0.9762 (0.9559, 0.9970)		0.028
Model 2	-0.023 (-0.044, -0.002)		0.9772 (0.9569, 0.9980)		0.011
Model 3	-0.014 (-0.038, 0.010)		0.9860 (0.9627, 1.010)		0.244

According to the interquartile range, TPOAb was divided into four groups: Q1: the first TPOAb quartile group (TgAb < 13.6 U/mL), Q2: the second TPOAb quartile group (13.6–10.6 U/mL), Q3: the third TPOAb quartile group (10.6–431 U/mL), Q4: the fourth TPOAb quartile group (> 431 U/mL)

^aThe Jonckheere-Terpstra test was used to evaluate trends in RVE1 levels when TPOAb levels increased

^b Results are expressed as medians (interquartile ranges). The Kruskal-Wallis test was used to detect differences in RVE1 levels among the four groups, and Bonferroni‐adjusted P values were used, *p = 0.019 vs. Q2 group

Multivariable ordinal logistic regression models were used to evaluate relationships between RVE1 and increasing TPOAb levels. Model 1 was not adjusted for other variables; Model 2 was adjusted for age and sex; Model 3 was adjusted for age, sex, TT3, TT4, TSH, FT3, FT4 and TPOAB. RVE1, resolvin E1; OR, odds ratio; 95 % CI, 95 % confidence interval