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. 2018 Mar 15;13(3):e0193385. doi: 10.1371/journal.pone.0193385

Table 2. Regression analysis of complication rate.

Univariable analysis Multivariable analysis
Factors P value HR 95% CI P value HR 95% CI
Patient characteristics
Female sex 0.244 0.628 0.287–1.373
Age > 60 years 0.068 2.095 0.946–4.639 0.022 3.118 1.176–8.262
BMI > 30 0.638 0.977 0.885–1.078
Current smoking 0.741 0.848 0.320–2.248
Comorbidity
ASA score ≥ 3 0.260 2.020 0.595–6.861
Cardiovascular medication 0.224 1.635 0.741–3.607
Diabetic medication 0.979 1.025 0.164–6.407
Syst. corticosteroid medication 0.248 3.621 0.408–32.140
Obstructive lung disease 0.070 7.000 0.853–57.448 0.057 8.231 0.936–73.999
Tumor characteristics
High CRS (3–5) [21] 0.728 1.148 0.527–2.502
Bilobar disease 0.615 1.238 0.539–2.845
Treatment
Neoadjuvant chemo 0.405 0.704 0.308–1.608
> 1 liver segment surgery 0.146 1.075 0.445–2.598 0.079 2.422 0.902–6.502
Major liver surgery 0.872 1.808 0.814–4.018
RFA performed 0.979 1.011 0.463–2.206
APR performed 0.010 4.535 1.425–14.433 0.027 4.382 1.180–16.277
Operation > 8 hours 0.008 2.986 1.333–6.688 0.489 1.417 0.528–3.802
Blood loss > 500ml 0.167 1.768 0.788–3.968 0.315 1.671 0.613–4.554

A binary logistic regression analysis was performed with complication rate as the dependent variable (n = 106). Variables with a p-value < 0.17 were entered in the multivariable analysis.

RFA = radiofrequency ablation, APR = abdominoperineal resection, CRS = clinical risk score, BMI = body mass index, ASA-score = American Society of Anaesthesiologists physical status classification system.