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BackgroundTo explore whether subgroups of patients with different functional recovery trajectories after THA can be discerned, as well as their predictors, using data from the Dutch Arthroplasty Register (LROI). MethodsWe retrospectively reviewed prospectively collected Oxford Hip Scores (OHS) up to one year postoperatively of 6030 primary THA patients. Latent growth curve modeling (LGCM) was used to classify groups of patients according to trajectory of functional recovery represented by their OHS scores. We used multivariable multinomial logistic regression analysis to explore factors associated with class membership. ResultsLGCM identified Fast Starters (fast initial improvement, high 12-month scores, 87.7%), Slow Starters (no initial change and subsequent improvement, 4.6%) and Late Dippers (initial improvement and subsequent deterioration, 7.7%).Factors associated with Slow Starters (OR, 95% CI) were female sex (1.63, 1.14-2.33), smoking (1.95, 1.26-3.03) and anterior approach (0.47, 0.29-0.78).

The authors would like to thank all patients for completing the questionnaires.JE designed the study, performed data collection, data analysis, and wrote and revised the manuscript. BH supported data analysis and critically reviewed the manuscript. HV operated on several of the included patients, and critically reviewed the manuscript. NM designed the study, supported data analysis, and critically reviewed the manuscript.

Preoperative planning is an important phase of total joint arthroplasty. Current template programs and methods only provide moderate accuracy for implant size prediction. Recently, a relationship between shoe size and implant size was found. We hypothesized that shoe size shows a high percentage of agreement for implant size of both femoral and tibial component size in primary total knee arthroplasty (TKA). The aim of this study was to investigate the correlation and agreement between shoe size and TKA implant size. We performed a retrospective cohort study. Of all patients, who underwent primary TKA between September 2013 and March 2016, shoe size and knee implant sizes were collected. Cross-tabulation was used to determine the correlation and agreement between shoe size and implant size. A total of 489 patients (498 TKA) were included. The correlation coefficient for femoral and tibial component with shoe size was 0.751 and 0.759, respectively. When a deviation of ± 1 component size was allowed, shoe size gave at least 94% agreement score for femoral component and at least 86% agreement score in tibial component. We conclude that both femoral and tibial component size have a good correlation with shoe size. Therefore, shoe size may be used as a valuable predictor in preoperative implant size planning for primary TKA. The level of evidence for this study was Level IV.

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