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. 2024 Jul 31;16(15):2727. doi: 10.3390/cancers16152727

Table 3.

Logistic regression analysis of chosen variables for predicting 1-year mortality.

Variable Univariable Multivariable
Crude OR (95% CI) p-Value Adjusted OR (95% CI) p-Value
High CONUT 3.499 (1.914, 6.397) <0.001 2.253 (1.014, 5.005) 0.046
Age (years) 1.012 (0.994, 1.030) 0.188
BMI (kg/m2) 0.906 (0.851, 0.965) 0.002 0.948 (0.874, 1.029) 0.204
ASA PS class ≥ 3 2.380 (1.516, 3.737) <0.001 2.138 (1.199, 3.809) 0.010
CKD 5.687 (1.335, 24.225) 0.019 12.936 (2.190, 76.404) 0.005
Anemia 1.503 (0.963, 2.345) 0.073
Transfused packed RBC (mL) 1.001 (1.000, 1.001) 0.011 1.000 (1.000, 1.001) 0.193
PCI score ≥ 20 4.402 (2.720, 7.125) <0.001 2.992 (1.574, 5.688) 0.001
CC score ≥ 2 6.166 (3.738, 10.171) <0.001 4.757 (2.391, 9.461) <0.001
Pathology
 Colorectal Reference Reference
 Gastric 4.302 (2.058, 8.995) <0.001 2.783 (1.078, 7.183) 0.034
 Appendiceal/PMP 0.518 (0.283, 0.945) 0.032 0.182 (0.083, 0.399) <0.001
 Others 1.798 (0.761, 4.247) 0.181 1.015 (0.309, 3.333) 0.980

A high CONUT score was defined as a CONUT score of 4–12. Abbreviations: OR, odds ratio; CONUT, Controlling Nutritional Status; BMI, body mass index; ASA PS class, American Society of Anesthesiologists physical status class; CKD, chronic kidney disease; RBC, red blood cell; PCI, peritoneal cancer index; CC, completeness of cytoreduction; PMP, Pseudomyxoma peritonei.