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Table 2 Logistic regression analysis of predictor variables for successful outcome 1 year after hip arthroscopy

From: Developing a risk prediction model for the functional outcome after hip arthroscopy

Predictors Univariable analysis Multivariable analysis
Odds ratio
(95% CI)
P value Odds ratio
(95% CI)
Regression coefficient P value
Constant      –0.19  
Gender female vs male 0.38 (0.19–0.76) 0.01 0.37 (0.17–0.83) –0.97 0.02
Age (IQR 31–48)   1.07 (0.67–1.72) 0.77
BMI (IQR 23–28)   0.75 (0.48–1.16) 0.20
Years of complaints (IQR 2–4)   0.95 (0.81–1.13) 0.59
Tönnis classification grade ≥ 1 vs grade 0 1.30 (0.36–4.66) 0.69
Alpha angle (IQR 52–75)   1.66 (0.97–2.83) 0.06
CAM yes vs no 2.38 (1.25–4.55) 0.01
Pincer yes vs no 0.58 (0.28–1.21) 0.15 0.47 (0.21–1.09) –0.74 0.08
Labral tear yes vs no 0.55 (0.27–1.15) 0.11 0.46 (0.20–1.06) –0.77 0.07
Preoperative VASpain (IQR 5–8)   0.91 (0.50–1.63) 0.75
Preoperative mHHS (IQR 48–64)   1.44 (0.95–2.18) 0.09
Preoperative HOS-ADL (IQR 41–74)   1.84 (1.08–3.15) 0.02 2.01 (0.99–4.08) 0.02 0.05
Preoperative HOS-Sport (IQR 48–64)   1.38 (0.83–2.29) 0.21
Preoperative WHOQOL physical (IQR 48–64)   1.35 (0.88–2.06) 0.16 0.43 (0.22–0.87) –0.04 0.02
Preoperative WHOQOL psychological (IQR 60–79)   1.69 (1.12–2.57) 0.01 2.40 (1.38–4.18) 0.05 0.002
  1. IQR interquartile range. Odds ratios for continuous predictors are presented as IQR odds ratios