A Novel Radiomics-Based Machine Learning Framework for Prediction of Acute Kidney Injury-Related Delirium in Patients Who Underwent Cardiovascular Surgery

Table 2

Characteristics of patients with delirium and without delirium ().

	Delirium group ()		Nondelirium group ()
	Average	sd	Average	sd	value	value
Age	62.364	11.054	62.097	11.214	0.543	0.283
Weight	64.927	9.093	64.758	9.845	0.784	0.682
Height	165.200	8.322	164.661	9.009	1.231	1.231
BMI	1.803	0.144	1.798	0.158	0.068	0.015
Hemoglobin	131.291	21.513	131.468	22.320	0.342	0.149
Hematocrit	25.182	3.087	24.710	3.400	0.743	0.614
Albumin	39.485	3.285	39.349	3.455	0.066	0.011
NGAL	130.778	67.210	130.911	66.236	0.593	0.361
TnI	0.348	0.836	0.479	1.606	0.055	0.005
FABP	1.580	2.959	1.721	3.103	0.784	0.716
NT-prBNP	376.628	501.617	408.349	568.687	0.124	0.038
LVEF	62.273	5.182	61.565	6.385	0.112	0.029
CVP	8.618	3.670	8.548	3.640	0.054	0.002
Type of surgery	2.164	1.290	2.129	1.263	0.342	0.164
CPB time	112.255	36.932	115.258	38.488	0.674	0.527
RBCI	0.487	1.527	0.529	1.524	0.634	0.413
Aortic occlusion time	73.155	28.342	76.218	29.587	0.894	0.855
Ultrafiltration volume	1820.982	1096.451	1858.935	1121.492	0.556	0.314
ICU length of stay	1.927	2.641	2.290	3.050	0.064	0.008
ICU mechanical ventilation time	12.825	13.227	14.974	17.253	0.321	0.126
Hospitalization time	17.576	8.069	18.237	7.965	0.667	0.493