Identification of risk factors and construction of a nomogram predictive model for post-stroke infection in patients with acute ischemic stroke

Table 1 Comparison of two sets of baseline data, n (%)

	Non-infection (n = 158)	Infection (n = 48)	Z/t/χ2	P value
Gender			0.015	0.903
Male	97 (61.4)	29 (60.4)
Female	61 (38.6)	19 (39.6)
Age (years)	60.16 ± 7.86	67.81 ± 7.88	-5.902	0.000
Hypertension			2.423	0.120
No	56 (35.4)	23 (47.9)
Yes	102 (64.6)	25 (52.1)
Hyperlipidemia			0.043	0.836
No	133 (84.2)	41 (85.4)
Yes	25 (15.8)	7 (14.6)
Coronary heart disease			0.020	0.887
No	137 (86.7)	42 (87.5)
Yes	21 (13.3)	6 (12.5)
Atrial fibrillation			0.000	1.000
No	145 (91.8)	44 (91.7)
Yes	13 (8.2)	4 (8.3)
Smoking			0.087	0.768
No	95 (60.1)	30 (62.5)
Yes	63 (39.9)	18 (37.5)
Drinking			0.121	0.728
No	57 (36.1)	16 (33.3)
Yes	101 (63.9)	32 (66.7)
Diabetes			24.42	0.000
No	127 (80.4)	21 (43.8)
Yes	31 (19.6)	27 (56.3)
Disturbance of consciousness			25.115	0.000
No	140 (88.6)	27 (56.3)
Yes	18 (11.4)	21 (43.8)
NIHSS score at admission [M (IQR), score]	9 (8.11)	10 (9.13)	-2.668	0.008
Invasive operation			11.115	0.001
No	119 (75.3)	24 (50.0)
Yes	39 (24.7)	24 (50.0)
COPD			16.544	0.000
No	116 (73.4)	20 (41.7)
Yes	42 (26.6)	28 (58.3)

COPD: Chronic obstructive pulmonary disease; NIHSS: National Institutes of Health Stroke Scale; IQR: Interquartile range.