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. 2022 Jun 12;21:15330338221106529. doi: 10.1177/15330338221106529

Table 3.

Univariate and Multivariate Logistic Regression Analysis to Identify Factors That Independently Predict Composite Adverse Events.

Univariate Multivariate
Factors n (%) OR (95%CI) P Adjusted OR (95%CI) P
Age
 <65 years 76/124 (61.3%) *
 ≥ 65 years 9/20 (45.0%) 0.517 (0.199-1.339) .174 0.776 (0.270-2.229) .637
Vascular morbidity
 No 55/91 (60.4%) *
 Yes 30/53 (56.6%) 0.854 (0.430-1.697) .652
ECOG
 0 63/104 (60.6%) *
 1 22/40 (55.0%) 0.795 (0.381-1.662) .543
Stage
 I 55/92 (59.8%) *
 II–III 30/52 (57.7%) 0.917 (0.460-1.829) .806
Chemotherapy
 Anthracycline 79/132 (59.8%) *
 Non-anthracycline 6/12 (50.0%) 0.671 (0.205-2.192) 0.509 0.820 (0.220-3.065) .768
WBC
 >5000 cell/mm3 73/128 (57.0%) *
 ≤5000 cell/mm3 12/16 (75.0%) 2.260 (0.691-7.389) .177 3.261 (0.921-11.545) .067
FFMI
 ≥14.85 kg/m2 23/59 (39.0%) *
 <14.85 kg/m2 62/85 (72.9%) 4.219 (2.076-8.574) <.001 4.562 (2.162-9.627) <.001
BMI
 ≥25 kg/m2 27/62 (43.5%) *
 <25 kg/m2 58/82 (70.7%) 3.133 (1.569-6.256) .001 **

Abbreviations: OR, odds ratio; CI, confidence interval; ECOG, Eastern Cooperative Oncology Group; WBC, white blood cell; FFMI, fat-free mass index; BMI, body mass index.

A P-value <.05 indicates statistical significance.

*Defined as reference.

**BMI was excluded from the multivariate analysis due to suspicion of multicollinearity.