Establishment and validation of risk prediction model to predict intravenous immunoglobulin-resistance in Kawasaki disease based on meta-analysis of 15 cohorts

Table 3 Meta-analysis and heterogeneity test of risk factors for IVIG resistant KD

Risk factors	Number of research studies (n)	I² (%)	P value	Type of Model	OR (95%CI)	Egger’s P value	β
Male sex	5 [9, 11, 14, 15, 23]	0	0.436	fixed-effects model	1.25 (1.16, 1.36)	0.07	2
Neutrophil ≥ 80%	7 [12, 13, 16,17,18,19, 23]	0	0.463	fixed-effects model	2.60 (2.13, 3.17)	0.251	10
Platelet count ≤ 300 × 10⁹/L	4 [10, 13, 16, 20]	28.7	0.24	fixed-effects model	1.44 (1.19, 1.75)	0.239	4
Rash	4 [9, 12, 17, 21]	0	0.618	fixed-effects model	1.94 (1.61, 2.34)	0.966	7
Age ≤ 12 months	3 [13, 15, 22]	18.1	0.295	fixed-effects model	2.26 (1.56, 3.28)	0.246	8
Cervical lymphadenopathy	3 [9, 14, 21]	0	0.516	fixed-effects model	1.92(1.69, 2.18)	0.212	7

ISSN: 1824-7288