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Table 4 Predictors of wound complications by univariate and multivariate analysis

From: Surgical outcomes and risk factors for surgical complications after en bloc resection following reconstruction with 3D-printed artificial vertebral body for thoracolumbar tumors

Factor

Univariate

Multivariate

OR (95% CI)

P value

OR (95% CI)

P value

Intraoperative blood loss (< 2000 ml vs. ≥ 2000 ml)

5.538 (1.257–24.396)

0.024

8.518 (1.325–54.745)

0.024

Multilevel resection (no vs. yes)

4.800 (1.163–19.805)

0.030

2.366 (0.432–12.949)

0.321

Baseline KPS

0.948 (0.911–0.987)

0.010

0.943 (0.897–0.992)

0.022

Age (< 50 years vs. ≥ 50 years)

1.333 (0.328–5.419)

0.688

  

Gender (male vs female)

1.971 (0.454–8.551)

0.365

  

Pre-op systemic treatment (no vs. yes)

2.229 (0.576–8.623)

0.246

  

Pre-op operation (no vs. yes)

0.567 (0.061–5.277)

0.618

  

Approach (postoperative vs. combined)

1.284 (0.291–5.656)

0.741

  

Tumor location (thoracic vs. lumbar)

1.333 (0.328–5.419)

0.688

  

BMI (< 28 kg/m2 vs. ≥ 28 kg/m2)

1.259 (0.216–7.326)

0.798

  

Treatment type (SES vs. TES)

0.799 (0.073–6.702)

0.757

  

Comorbidity (no vs. yes)

1.048 (0.185–5.943)

0.958

  
  1. OR odds ratio, CI confidence interval, KPS Karnofsky performance score, BMI body mass index, SES sagittal en bloc spondylectomy, TES total en bloc spondylectomy