Table 3.

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

Interquartile range of TgAb	Q1 (< 12.9 U/mL) (n = 14)	Q2 (12.9–79.1 U/mL) (n = 14)	Q3 (79.1–361 U/mL) (n = 15)	Q4 (> 361 U/mL) (n = 14)
b RVE1 Levels	37.70 (24.66–99.16)	26.46 (18.91–34.87)	28.51 (19.53–37.61)	19.21 (13.81–27.34) *	a P for trend = 0.001
Multivariable ordinal logistic regression
	β (95 % CI)		OR (95 % CI)		P value
Model 1	-0.057 (-0.093, -0.022)		0.9446 (0.9111, 0.9782)		0.002
Model 2	-0.054 (-0.087, -0.021)		0.9475 (0.9166, 0.9792)		0.001
Model 3	-0.064 (-0.109, -0.019)		0.9380 (0.8967, 0.9811)		0.005

According to the interquartile range, TgAb was divided into four groups: Q1: the first TgAb quartile group (TgAb < 12.9 U/mL), Q2: the second TgAb quartile group (12.9–79.1 U/mL), Q3: the third TgAb quartile group (79.1–361 U/mL), Q4: the fourth TgAb quartile group (> 361 U/mL)

^aThe Jonckheere-Terpstra test was used to evaluate trends of RVE1 levels when the TgAb level 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 = 0.005 vs. Q1 group

Multivariable ordinal logistic regression models were used to evaluate relationships between RVE1 and increasing TgAb 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