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Table 2 Analysis for prediction of failure (binary logistic regression)

From: Radiological features do not predict failure of two-stage arthroplasty for prosthetic joint infection: a retrospective case–control study

Condition Number cases Number controls P value Odds ratio(OR) 95% C.I. for OR
  N = 12 N = 29    Lower Upper
Metal remaining 1 (8.3%) 0 (0%) 1.0 1 x 1010 0
New metal 1 (8.3%) 0 (0%) 1.0 1 x 1010 0
Cement 4 (33.3%) 9 (31%) 0.909 1.134 0.132 9.739
Restrictor 2 (16.7%) 4 (13.8%) 0.404 3.449 0.189 63.108
New fracture 3 (25%) 5 (17.2%) 0.654 0.481 0.020 11.807
Antimicrobial device 1 (8.3%) 3 (10.3%) 0.932 0.865 0.031 24.047
Drain 3 (25%) 4 (13.8%) 0.345 3.108 0.296 32.623
  1. The table displays binary logistic regression analysis performed for seven variables with the outcome of prosthesis failure, with the model adjusted for age, gender and number of previous revisions.