Table 3.

Reverse analysis of the effects of delirium on the level of inflammatory factors.

Phenotype	GWAS data source	Estimate (95% CI)	P for association	P for heterogeneity test	P for MR-Egger intercept	P for MR PRESSO results from the Global Test
TNF-α	Suhre et al. (2017)*	0.35 (−0.09, 0.79)	0.12	—	—	—
CRP	Suhre et al. (2017)*	1.40 (0.94, 2.08)	0.10	—	—	—
	Sun et al. (2018)	0.01 (−0.08, 0.10)	0.83	1.54E-07	0.52	0.004
CRP (two outliers-corrected)	Sun et al. (2018)	0.07 (−0.01, 0.15)	0.11	0.26	0.61	0.28
IL-1α	Suhre et al. (2017)*	−0.08 (−0.52, 0.36)	0.71	—	—	—
	Sun et al. (2018)	0.98 (0.93, 1.03)	0.38	0.14	0.72	0.30
IL-1β	Sun et al. (2018)	−0.01 (−0.06, 0.04)	0.64	0.13	0.52	0.29
	Suhre et al. (2017)*	0.70 (0.45, 1.08)	0.11	—	—	—
IL-2	Sun et al. (2018)	0.007 (−0.03, 0.05)	0.74	0.38	0.54	0.42
	Suhre et al. (2017)	0.82 (0.53, 1.27)	0.37	—	—	—
IL-6	Sun et al. (2018)	1.03 (0.98,1.07)	0.27	0.16	0.45	0.34
	Gilly et al. (2020)	0.97 (0.91, 1.03)	0.40	0.70	0.96	0.71
sIL-6Rα	Suhre et al. (2017)*	0.05 (−0.39, 0.49)	0.83	—	—	—
	Sun et al. (2018)	0.03 (−0.02, 0.07)	0.27	0.16	0.45	0.36
	Gilly et al. (2020)	0.01 (−0.05, 0.08)	0.71	0.48	0.87	0.61
Soluble gp130	Suhre et al. (2017)*	0.24 (−0.19, 0.68)	0.28	—	—	—
	Sun et al. (2018)	0.03 (−0.02, 0.08)	0.23	0.08	0.76	0.23
IL-8	Suhre et al. (2017)*	0.95 (0.62, 1.46)	0.81	—	—	—
	Sun et al. (2018)	1.02 (0.99, 1.06)	0.20	0.79	0.59	0.89

^*Only one SNP was extracted from the corresponding GWAS dataset, and Wald ratio was used to detect the association. The effect of delirium on other inflammatory factors was identified by inverse-variance weighted.