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. 2021 Jun 17;16(3):401–410. doi: 10.31616/asj.2020.0585

Table 2.

Logistic regression model and Cox regression model results considering ASDe and ASDi, respectively, as depending variable

Variable Logistic regression model (ASDe) Cox regression model (ASDi)


OR (95% CI) HR (95% CI)
Age 1.008 (0.969–1.048) 1.029 (0.963–1.1)

Gender (female) 1.442 (0.54–3.849) 2.915 (0.442–19.222)

Body mass index 1.005 (0.902–1.118) 0.889 (0.748–1.058)

Smoker (yes) 1.045 (0.411–2.656) 1.49 (0.276–8.043)

Pffirman preoperative classification of adjacent segment 5.323 (1.055–26.85) 1.199 (0.128–11.258)

Preoperative L1–S1 Cobb angle 1.005 (0.942–1.073) 0.942 (0.853–1.041)

Preoperative pelvic incidence 0.811 (0.364–1.806) 1.191 (0.799–1.777)

Preoperative pelvic tilt 1.215 (0.549–2.687) 0.776 (0.509–1.184)

Preoperative sacral slope 1.153 (0.518–2.566) 0.822 (0.547–1.235)

Preoperative UCLA classification of adjacent segment 0.185 (0.03–1.13) 7.44 (0.747–74.141)

One-level fusion (vs. two-level fusion) 0.996 (0.393–2.525) 2.233 (0.581–8.592)

Use of topping-off technique (DRC or ISD) 1.229 (0.458–3.303) 0.154 (0.031–0.773)

Statistically significant differences are shown in bold.

ASDe, adjacent segment degeneration; ASDi, adjacent segment disease (according to criteria defined in methods section); OR, odds ratio; CI, confidence interval; HR, hazard ratio; DRC, dynamic rods construct; ISD, interspinous device.