Lack of Association between ABO, PPAP2B, ADAMST7, PIK3CG, and EDNRA and Carotid Intima-Media Thickness, Carotid Plaques, and Cardiovascular Disease in Patients with Rheumatoid Arthritis

Table 2

Association between AB0, PPAP2B, ADAMTS7, PIK3CG, and EDNRA genotypes and alleles and cIMT, presence/absence of carotid plaques, and CV events in RA patients.

	cIMT mm (𝑛=620)		Presence/absence of carotid plaques (𝑛=620)		Presence/absence of CV events (𝑛=2140)
	Mean ± SD	𝑃^∗	𝑃^∗∗	OR [95% CI]**	𝑃^∗∗∗	HR [95% CI]***
ABO rs579459
TT	0.73±0.17	0.91	—	1 (Ref.)	—	1 (Ref.)
TC	0.74±0.17		0.23	0.66 [0.33–1.30]	0.79	1.05 [0.72–1.53]
CC	0.71±0.17		0.63	0.71 [0.18–2.86]	0.22	0.59 [0.26–1.37]
T	0.74±0.17	0.86	—	1 (Ref.)	—	1 (Ref.)
C	0.73±0.17		0.29	0.76 [0.45–1.26]	0.47	0.89 [0.67–1.20]
PPAP2B rs17114036
AA	0.74±0.17	0.64	—	1 (Ref.)	—	1 (Ref.)
AG	0.73±0.19		0.55	1.14 [0.71–1.86]	0.99	0.99 [0.58–1.70]
GG	0.74±0.23		0.10	0.72 [0.03–1.54]	¥	¥
A	0.74±0.17	0.99	—	1 (Ref.)	—	1 (Ref.)
G	0.74±0.19		0.10	0.49 [0.21–1.15]	0.48	0.83 [0.50–1.39]
ADAMTS7 rs3825807
AA	0.76±0.17	0.46	—	1 (Ref.)	—	1 (Ref.)
AG	0.73±0.17		0.44	0.86 [0.58–1.28]	0.10	0.59 [0.39–1.20]
GG	0.72±0.17		0.72	0.92 [0.57–1.49]	0.73	0.92 [0.56–1.49]
A	0.74±0.17	0.34	—	1 (Ref.)	—	1 (Ref.)
G	0.73±0.17		0.53	0.86 [0.55–1.36]	0.43	0.89 [0.69–1.17]
PIK3CG rs17398575
GG	0.73±0.16	0.1	—	1 (Ref.)	—	1 (Ref.)
GA	0.74±0.18		0.34	1.38 [0.72–2.64]	0.99	1.00 [0.68–1.47]
AA	0.75±0.19		0.86	0.86 [0.17–4.26]	0.95	1.02 [0.47–2.23]
G	0.73±0.17	0.09	—	1 (Ref.)	—	1 (Ref.)
A	0.74±0.18		0.56	1.17 [0.70–1.95]	0.96	1.00 [0.75–1.36]
EDNRA rs1878406
CC	0.73±0.16	0.61	—	1 (Ref.)	—	1 (Ref.)
CT	0.74±0.19		0.28	1.54 [0.70–3.38]	0.44	0.83 [0.53–1.32]
TT	0.73±0.14		0.80	0.76 [0.10–6.04]	0.85	1.10 [0.40–2.90]
C	0.74±0.16	0.32	—	1 (Ref.)	—	1 (Ref.)
T	0.74±0.18		0.47	1.28 [0.66–2.47]	0.62	0.91 [0.62–1.33]

cIMT: carotid intima-media thickness; CV: cardiovascular; RA: rheumatoid arthritis; SD: standard deviation; OR: odds ratio; CI: confidence interval; HR: hazard ratios.
∗Adjusted for sex, age at the time of ultrasonography study, follow-up time, and traditional CV risk factors (hypertension, diabetes mellitus, dyslipidemia, obesity, and smoking habit) using analysis of covariance (ANCOVA).
∗∗Adjusted for sex, age at the time of ultrasonography study, follow-up time, and traditional CV risk factors (hypertension, diabetes mellitus, dyslipidemia, obesity, and smoking habit) by logistic regression.
∗∗∗Adjusted for sex, age at RA diagnosis, follow-up time, and traditional CV risk factors (hypertension, diabetes mellitus, dyslipidemia, obesity, and smoking habit) using Cox regression.
¥Model does not converge.