Machine learning-based prediction of postoperative mortality risk after abdominal surgery

Table 2 Multivariate logistic regression analysis of postoperative death in patients undergoing abdominal surgery

Index	B	SE	Wald	P value	OR	95%CI
Age	-0.609	0.146	17.291	< 0.001	0.544	0.408-0.725
Surgical approach	0.305	0.495	0.380	0.538	1.357	0.514-3.582
Preoperative complications	-0.172	0.605	0.081	0.776	0.842	0.257-2.753
APTT	0.533	0.108	24.360	< 0.001	1.705	1.379-2.107
AST	0.172	0.062	7.681	0.006	1.188	1.052-1.341
TBIL	0.174	0.078	4.962	0.026	1.190	1.021-1.387
ASA classification	0.119	0.300	0.158	0.691	1.127	0.626-2.030
WBC	0.183	0.074	6.154	0.013	1.201	1.039-1.388
Constant	4.880	5.475	0.794	0.373	131.566

OR: Odds ratio; CI: Confidence interval; APTT: Activated partial thromboplastin time; AST: Aspartate aminotransferase; TBIL: Total bilirubin; ASA: American Society of Anesthesiologists; WBC: White blood cell.