Machine Learning Did Not Outperform Conventional Competing Risk Modeling to Predict Revision Arthroplasty.

Background: Estimating the risk of revision after arthroplasty could inform patient and surgeon decision-making. However, there is a lack of well-performing prediction models assisting in this task, which may be due to current conventional modeling approaches such as traditional survivorship estimators (such as Kaplan-Meier) or competing risk estimators. Recent advances in machine learning survival analysis might improve decision support tools in this setting.

Do symptoms of anxiety and/or depression and pain intensity before primary Total knee arthroplasty influence reason for revision? Results of an observational study from the Dutch arthroplasty register in 56,233 patients.

Objective: Anxiety, depression and greater pain intensity before total knee arthroplasty (TKA) may increase the probability of revision surgery for remaining symptoms even without clear pathology or technical issues. We aimed to assess whether preoperative anxiety/depression and pain intensity are associated with revision TKA for less clear indications.

Methods: Less clear indications for revision were defined after a Delphi process in which consensus was reached among 59 orthopaedic knee experts.

The influence of perioperative interventions targeting psychological distress on clinical outcome after total knee arthroplasty.

Our aim was to assess the effect of perioperative interventions targeting psychological distress on clinical outcome after total knee arthroplasty (TKA). We searched studies on the effect of perioperative interventions focused on psychological distress used in conjunction with TKA on pain, function, and quality of life (QoL) on PubMed, Embase.com, PsycINFO/OVID, CENTRAL, the Cochrane Database of Systematic Reviews, Scopus, and Web of Science.

Early health economic modelling of single-stage cartilage repair. Guiding implementation of technologies in regenerative medicine.

Both the complexity of clinically applied tissue engineering techniques for articular cartilage repair - such as autologous chondrocyte implantation (ACI) - plus increasing healthcare costs, and market competition, are forcing a shift in focus from two-stage to single-stage interventions that are more cost-effective. Early health economic models are expected to provide essential insight in the parameters driving the cost-effectiveness of new interventions before they are introduced into clinical practice. The present study estimated the likely incremental cost-effectiveness ratio (ICER) of a new investigator-driven single-stage procedure (IMPACT) compared with both microfracture and ACI, and identified those parameters that affect the cost-effectiveness.