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. 2019 Nov 22;11(6):1149–1162. doi: 10.1111/os.12577

Table 5.

Logistic regression analyses to identify anatomical reduction as predictor of clinical outcomes

Anatomical reduction Coefficient Std. Error Wald P OR 95% CI
Full model
ROM 0.04 0.06 0.41 0.5228 1.04 0.92 to 1.17
VAS 0.19 0.26 0.51 0.4741 1.21 0.72 to 2.02
AKSS 0.00 0.04 0.00 0.9884 1.00 0.93 to 1.07
KOOS ADL −0.04 0.05 0.92 0.3384 0.96 0.88 to 1.05
KOOS Pain 0.08 0.05 1.90 0.1680 1.08 0.97 to 1.20
KOOS Symptom 0.01 0.03 0.18 0.6686 1.01 0.96 to 1.06
KOOS QoL 0.01 0.02 0.35 0.5517 1.01 0.97 to 1.06
KOOS Sport Rec 0.00 0.02 0.00 0.9881 1.00 0.97 to 1.03
Constant −9.17 6.42 2.04 0.1532
Reduced model
KOOS Pain 0.05 0.02 5.58 0.0182 1.05 1.01 to 1.10
Constant −4.26 1.91 5.01 0.0253

AKSS, American Knee Society Score; KOOS, Knee injury and Osteoarthritis Outcome Score; ROM, range of motion in degrees; SD, standard deviation; SF‐36, 36‐Item Short Form Survey; VAS, visual analog score.