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How much is enough for total knee arthroplasty?
  1. Caesar Wek1,
  2. Tosan Okoro2,
  3. Sebastian Tomescu3,
  4. J Michael Paterson4 and
  5. Bheeshma Ravi3
  1. 1Department of Trauma and Orthopaedics, King's College Hospital NHS Foundation Trust, London, UK
  2. 2Department of Arthroplasty, Robert Jones and Agnes Hunt Orthopaedic Hospital NHS Foundation Trust, Oswestry, UK
  3. 3Division of Orthopedic Surgery, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
  4. 4Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada
  1. Correspondence to Dr Tosan Okoro; tosanwumi{at}hotmail.com

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We welcome Professor Randsborg’s suggestions that in addition to surgical volume, environmental factors such as institutional structures and patient demographics also impact on patient outcomes following total knee arthroplasty (TKA). However, we would argue that the true surgical volume is the most important factor when determining the risk of revision in TKA surgery, as demonstrated by our study.1 The findings in our study are echoed in the analysis by Yu et al, which concluded that from a number of outcomes evaluated, only surgical volume was associated with an increased risk of TKA 30-day readmission.2

While it is recognized that highly experienced orthopaedic surgeons may deliver excellent patient outcomes regardless of a minimum volume, evidence suggests that higher surgical volumes result in better patient outcomes.3 Data from Jeschke et al suggested that a minimum institutional threshold of 145 TKA procedures per annum would result in a reduction of revision rates.4 In the USA, reduced mortality rates were observed when surgeons performed greater than 15 cases per year and institutions performed greater than 85 cases.5 Further research by Wilson et al has sought to further define meaningful thresholds in the relationship between surgical volume and patient outcomes in TKA surgery.6 Their work reviewed various surgical procedure numbers among surgeons according to the revision rates from a database of 289 976 knee arthroplasties. The data suggested that complication rates varied between surgeon procedure numbers of 0 and 12, 13 and 59, 60 and 145, and >146 cases per year. However, there was no change in revision rates once surgeon volume reached >60 cases per year.6 Furthermore, the methodology used by these studies either assumed a linear relationship between volume and outcomes or stratified volumes in the groups.

We agree that there is no accepted rigorous methodology for determining volume thresholds in arthroplasty, and various methodologies have been used in previous studies. Previous studies evaluating the relationship between surgeon volume and patient outcome indicate that this relationship is non-linear and that an optimal minimum volume should ideally be specified. However, there is currently no consensus among surgeons regarding the ideal value of this ‘minimum number’ of cases per annum. As suggested by Professor Randsborg, there may be variation in unit/institutional case match and complexity, so propensity matching was used in our study to adjust for differences in case complexity.

The statistical methodology used by this study was a restricted cubic spline regression (RCSR) method to evaluate the relationship between volume and patient outcome. RCSR is an adaptable tool used to model complex, non-linear relationships between continuous variables and a specific outcome.7 However, normal regression analyses assume a linear relationship between the predictor and outcome variables. This suggests that the impact of a rise in surgeon procedure volume would be similar if the increase in volume was from 10 to 30 cases/year, or from 210 to 230 cases/year. On the other hand, a spline does not make any assumptions of a linear relationship. It separates the relationship into smaller ‘pieces’, allowing non-linear portions. The non-linear relationship between surgeon procedure volume and the risk of revision surgery was examined to identify an inflection point, which could be used to categorize annual volume in a clinically meaningful way. In our study, the use of a spline also enabled the identification of a threshold of volume of 70 cases at which the greatest patient benefit is obtained.1 This RCSR method was also used by Chou et al in total hip arthroplasty and demonstrated that there was a minimum surgeon volume threshold of 15 cases per annum for reducing the 30-day unplanned readmission rates.8

As our paper concluded, surgeons who had performed less than 70 TKA procedures in the year prior to the patient’s index TKA had a 31% increased risk of revision and an 18% increased risk of deep surgical infection requiring further surgery at 3 years of follow-up.1 In terms of what institutional/structural changes that we suggest armed with this knowledge, we use an example from the UK. In the UK, The Getting it Right First Time (GIRFT) report identified various challenges that were faced by UK orthopaedic departments to meet the arthroplasty need of an aging population.9 To address the challenges faced, the GIRFT report suggested several institutional changes, including the introduction of ‘minimum numbers’ of procedures and the centralization of complex procedures to institutions with appropriate expertise. Furthermore, low units are supported to increase caseloads, and patients should be empowered with unit and surgeon data to facilitate informed decision making.

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Footnotes

  • Contributors CW, TO, JMP, ST and BR made substantial contributions to the conception or design of the work presented, drafting the work and revising it critically for important intellectual content; as well as final approval of the version to be published. All authors are in agreement to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.

  • Funding The authors have not declared a specific grant for this research from any funding agency in the public, commercial or not-for-profit sectors.

  • Competing interests None declared.

  • Provenance and peer review Commissioned; internally peer reviewed.

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