Predictors of a change in patient willingness to have Total knee arthroplasty: Insights from the osteoarthritis initiative

Radiomics-based nomogram for predicting total knee replacement in knee osteoarthritis patients

BACKGROUND

The incidence of total knee replacement (TKR) surgeries has increased, partly attributed to healthcare policies that cause premature and potentially unwarranted interventions. This has raised concerns regarding a potential trend of excessive surgeries.

PURPOSE

This study aimed to propose a predictive model based on digital radiography (DR) radiomics to objectively assess the need for TKR surgery in patients with knee osteoarthritis (KOA) and to improve risk stratification, thereby avoiding unnecessary surgeries.

METHODS

A retrospective study was conducted on 1,785 KOA patients from January 2017 to December 2022. Radiomics features were extracted from DR images to quantify lesion phenotypes, followed by a two-step feature selection to derive robust signatures. Multiple models were constructed using independent risk factors and radiomics features, and these models were validated using logistic regression. The performance of the models was evaluated via receiver operating characteristic (ROC) curves, area under the curve (AUC), calibration curves, and decision curve analysis. A multivariable Cox regression-derived nomogram was used to predict operation-free survival (OFS), and the patients were categorized into high- or low-risk groups based on risk stratification. Kaplan-Meier curves were used to compare OFS between the two groups.

RESULTS

During a follow-up period of at least one year, 962 of 1785 (53.89 %) patients underwent TKR. Age, presence of radiographic KOA (RKOA), and Kellgren-Lawrence (KL) grading were identified as independent risk factors for OFS. The combined RKOA model (including age, presence of RKOA, and Radscore; AUC = 0.969) and combined KL model (including age, KL grading, and Radscore; AUC = 0.968) showed similar performance, with both significantly outperforming other models (p < 0.001). The 1-, 2-, and 3-year AUCs for the RKOA nomogram were 0.891, 0.916, and 0.920, respectively, whereas those for the KL nomogram were 0.890, 0.914, and 0.931. The thresholds of 68.92 (RKOA nomogram) and 64.41 (KL nomogram) were derived from the median nomogram scores and used to stratify patients into high- and low-risk groups. K-M curves demonstrated that the risk stratification system effectively distinguished between high- and low-risk groups, with the high-risk group being more likely to require TKR.

CONCLUSIONS

Two nomograms incorporating age, RKOA (or KL grading), and Radscore were developed to predict 3-years OFS for KOA patients and establish risk thresholds, potentially guiding personalized non-surgical treatments during the OFS period.

Literature Review to Understand the Burden and Current Non-surgical Management of Moderate-Severe Pain Associated with Knee Osteoarthritis

INTRODUCTION

To conduct a literature review exploring the humanistic burden, costs, and guideline recommendations for non-surgical management of moderate-severe pain in knee osteoarthritis (KOA).

METHODS

Published studies (2018-25 April 2023) assessing the burden of moderate-severe pain in KOA were identified by searching Medline, Embase, EconLit, and Cochrane database, supplemented with grey literature hand searches and reference list snowballing. Treatment guidelines were also identified for key countries.

RESULTS

This review included 106 publications and 37 treatment guidelines. Patients with moderate-severe pain were found to experience a low quality of life (QoL) and an impaired ability to perform daily tasks. The economic burden of KOA was substantial, including cost of medical visits, non-operative treatment (physical therapy and hyaluronic acid [HA] being key drivers) and productivity losses. Non-steroidal anti-inflammatory drugs (NSAIDs) were among the most frequently used pharmacological treatments, with intra-articular (IA) injections used to varying degrees. Opioid use was also frequently reported. Guidelines universally recommended NSAIDs, albeit with limited dose and duration for oral NSAIDs. IA-corticosteroids were conditionally/moderately recommended for short-term use by most guidelines, while IA-HA and opioids were rarely recommended. Guidelines are not specific to patients with moderate-severe pain and do not distinguish between different KOA phenotypes.

CONCLUSIONS

KOA with moderate-severe pain is associated with substantial humanistic and economic burden. Real-world data suggest that some treatments are regularly used at high cost regardless of the lack of evidence-based recommendations. There remains a need for new treatment options that successfully relieve pain, improve QoL and delay the need for surgery. Graphical abstract available for this article.

Depression and Time to Knee Arthroplasty Among Adults Who Have Knee Osteoarthritis

BACKGROUND

Depression is common in osteoarthritis (OA) and is associated with poor outcomes following total knee arthroplasty (TKA). Depression can increase pain sensitivity and may be related to an increased likelihood of TKA.

METHODS

Nationally distributed electronic health record data from 2010 to 2018 were used to identify eligible patients (n = 9,466) who had knee OA and were 45 to 80 years of age. Cox proportional hazard models were computed to estimate the association between depression and incident TKA for all patients and by age group (45 to 54, 55 to 64, and 65 to 80 years of age). Confounding was controlled using entropy balancing. Sensitivity analyses determined if the association between depression and TKA differed when depression occurred in the 12 months occurring 90, 60, 30, and 0 days lag time before TKA.

RESULTS

The mean age of the sample was 63 (range, 45 to 80), 64.0% were women, 83.3% were White race, and approximately 50% resided in the Midwest. There was no association between depression and incident TKA (hazard ratio = 0.97; confidence interval = 0.81 to 1.16]). Results did not differ in age-stratified analyses. Sensitivity analyses revealed a higher percentage of TKA among depressed versus nondepressed patients (24.2 versus 21.6%; P = .028) when the patient's depression diagnosis was established in the 12 months with no lag time before TKA.

CONCLUSIONS

Patients who have knee OA and comorbid depression, compared to those who have only knee OA, do not have an increased likelihood of TKA. The multifactorial, complex decision to obtain TKA does not appear to be influenced by depression, but depression is a common comorbidity.

Awareness and Underlying Factors for Total Knee Arthroplasty Reluctance in Saudi Arabia

Background Total knee arthroplasty (TKA) is a successful surgical intervention for advanced knee arthritis. The efficacy of TKA in reducing pain and restoring joint function has been well documented. Despite the rewarding outcomes of TKA for knee osteoarthritis patients, their willingness to consider the procedure is limited. Aim This study aimed to assess patients' awareness and knowledge of total knee arthroplasty benefits and complications. Further, the reasons and factors contributing to reluctance among orthopedic patients in Saudi Arabia should be determined. Methods An online, structured, and self-administered questionnaire was used to collect data from adult orthopedic patients of both genders who were reluctant to undergo total knee arthroplasty despite surgeons' recommendations. The online questionnaire link was shared across multiple platforms, orthopedic forums, and healthcare social media channels. Qualitative data were presented as frequencies and percentages, while continuous data were reported as the mean (standard deviation [SD]). The statistical package for the social sciences software program was used for statistical analysis. Results A total of 629 participants were involved. The awareness of the expected benefits score, on a scale from 7 to 35, showed a mean (SD) of 20.9 (5.6). The score of the attitude towards expected complications, on a scale from 5 to 25, had a mean (SD) of 15.2 (3.6). The attitude towards the expected complications showed a significantly higher mean (SD) score in the older group aged >60 years than the younger one aged <40 years (15.7 (4.1) vs. 14.9 (3.5), respectively). Likewise, overweight and obese participants showed a significantly higher mean (SD) expected complications score compared to the healthy and underweight ones (15.4 (3.7) vs. 14.8 (3.5), respectively). The recorded reasons for refusal to undergo TKA were fear of anesthesia complications (317, 50.4%), followed by financial limitations (245, 39.0%), the unavailability of experienced surgeons (232, 36.9%), and fear of unfavorable outcomes (189, 30.0%). Conclusion There was a gap in knowledge and awareness of total knee arthroplasty among orthopedic patients in Saudi Arabia. Perceptions of benefits were inadequate, and there were misconceptions about the expected complications. The level of expected complications was higher among elderly and obese patients. Furthermore, fear of anesthesia complications and unfavorable outcomes, in addition to economic and financial problems, constituted major barriers to undergoing the procedure.

Predicting Recovery Following Total Hip and Knee Arthroplasty Using a Clustering Algorithm

Background

Recovery following total joint arthroplasty is patient-specific, yet groups of patients tend to fall into certain similar patterns of recovery. The purpose of this study was to identify and characterize recovery patterns following total hip arthroplasty (THA) and total knee arthroplasty (TKA) using patient-reported outcomes that represent distinct health domains. We hypothesized that recovery patterns could be defined and predicted using preoperative data.

Methods

Adult patients were recruited from a large, urban academic center. To model postoperative responses to THA and TKA across domains such as physical health, mental health, and joint-specific measures, we employed a longitudinal clustering algorithm that incorporates each of these health domains. The clustering algorithm from multiple health domains allows the ability to define distinct recovery trajectories, which could then be predicted from preoperative and perioperative factors using a multinomial regression.

Results

Four hundred forty-one of 1134 patients undergoing THA and 346 of 921 undergoing TKA met eligibility criteria and were used to define distinct patterns of recovery. The clustering algorithm was optimized for 3 distinct patterns of recovery that were observed in THA and TKA patients. Patients recovering from THA were divided into 3 groups: standard responders (50.8%), late mental responders (13.2%), and substandard responders (36.1%). Multivariable, multinomial regression suggested that these 3 groups had defined characteristics. Late mental responders tended to be obese (P = .05) and use more opioids (P = .01). Substandard responders had a larger number of comorbidities (P = .02) and used more opioids (P = .001). Patients recovering from TKA were divided among standard responders (55.8%), poor mental responders (24%), and poor physical responders (20.2%). Poor mental responders were more likely to be female (P = .04) and American Society of Anesthesiologists class III/IV (P = .004). Poor physical responders were more likely to be female (P = .03), younger (P = .04), American Society of Anesthesiologists III/IV (P = .04), use more opioids (P = .02), and be discharged to a nursing facility (P = .001). The THA and TKA models demonstrated areas under the curve of 0.67 and 0.72.

Conclusions

This multidomain, longitudinal clustering analysis defines 3 distinct patterns in the recovery of THA and TKA patients, with most patients in both cohorts experiencing robust improvement, while others had equally well defined yet less optimal recovery trajectories that were either delayed in recovery or failed to achieve a desired outcome. Patients in the delayed recovery and poor outcome groups were slightly different between THA and TKA. These groups of patients with similar recovery patterns were defined by patient characteristics that include potentially modifiable comorbid factors. This research suggests that there are multiple defined recovery trajectories after THA and TKA, which provides a new perspective on THA and TKA recovery.

Level of Evidence

III.

Factors Important to Patients when Making Treatment Decisions for Knee Osteoarthritis

Patient treatment decisions for knee osteoarthritis (OA) are driven largely by the patient's physical examination and radiograph findings. Because multiple treatment options may be medically appropriate, it is imperative that the patient's voice be considered to better facilitate patient-centered treatment decisions. Concordance between physicians and patients on optimal treatment can vary, with few studies identifying the factors important to patients when making treatment decisions for knee OA. The goal of this analysis is to identify and synthesize subjective factors in the literature found to influence patient decision-making in a presurgical knee OA population, such that physicians and health care teams can become better equipped to help patients realize their specific treatment goals. This review was registered with PROSPERO and conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses protocol. A systematic search was completed in four databases for search terms related to knee OA and decision-making. Articles were eligible for inclusion when they discussed (1) patients' thoughts, feelings, goals, and perceptions that factored into treatment deliberation and decision-making; and (2) related to knee OA. Twenty-four articles were identified, 11 qualitative studies and 13 quantitative studies. Synthesis of the included articles revealed three main themes that drive patient treatment decisions: (1) individual catalysts to pursue treatment including pain and mobility limitations, (2) interpersonal factors including social networks and clinician trust, and (3) risks versus benefits assessment including patients' beliefs and expectations. Only a few studies looked at nonoperative treatment decisions, and no studies looked at cohorts considering knee preservation surgeries. This study was completed to synthesize literature related to patient treatment decisions for nonoperative and surgical management of knee OA, finding that patients consider multiple subjective factors when choosing whether to move forward with treatment. Understanding how patients' beliefs determine their preferences for treatment can improve shared decision-making.

The Strongest Oxford Knee Score Predictors of Subsequent Revision are 'Overall Pain,' 'Limping when Walking,' and 'Knee Giving Way'

BACKGROUND

The Oxford Knee Score (OKS) is used to measure knee arthroplasty outcomes, however, it is unclear which questions are more relevant. Our aims were to: 1) identify which OKS question(s) were the strongest predictors of subsequent revision and 2) compare predictive ability of the 'pain' and 'function' domains.

PATIENTS AND METHODS

All primary total (TKAs) and unicompartmental knee arthroplasties (UKAs) in the New Zealand Joint Registry between 1999 and 2019 with an OKS at six months (TKA n=27,708, UKA n=8,415), five years (TKA n=11,519, UKA n=3,365) or ten years (TKA n=6,311, UKA n=1,744) were included. Prediction models were assessed using logistic regressions and receiver operating characteristic analyses.

RESULTS

A reduced model with three questions ('overall pain,' 'limping when walking,' 'knee giving way') showed better diagnostic ability than full OKS for predicting UKA revision at six months (area under the curve (AUC): 0.80 vs. 0.78; P<0.01) and five years (0.81 vs. 0.77; P=0.02), and comparable diagnostic ability for predicting TKA revision at all timepoints (6 months, 0.77 vs. 0.76; 5 years, 0.78 vs. 0.75; 10 years, 0.76 vs. 0.73; all not significant (NS)), and UKA revision at 10 years (0.80 vs. 0.77; NS). The pain domain had better diagnostic ability for predicting subsequent revision for both procedures at five and ten years.

CONCLUSION

Questions on 'overall pain', 'limping when walking', and 'knee 'giving way' were the strongest predictors of subsequent revision. Attention to low scores from these questions during follow-up may allow for prompt identification of patients most at risk of revision.

Willingness to Have Total Knee Arthroplasty in Rural Areas of Northern China

OBJECTIVE

To evaluate willingness and its potential predictors to have total knee arthroplasty (TKA) among residents in rural areas of northern China.

METHODS

Data were collected from two population-based studies on osteoarthritis (OA) in northern China. Residents aged ≥ 50 years in randomly selected rural communities were recruited using a cluster survey method. Participants completed a home interview (including social-demographic characteristics, clinical information, 12-Item Short Form Health Surveys [SF-12], and Visual Analog Scale [VAS] of knee pain), a physical examination, and bilateral weight-bearing posteroanterior semi-flexed view of radiographs of knees. Willingness to have TKA was queried by asking: "If you need to undergo total knee arthroplasty as judged by orthopaedic surgeons, are you willing to accept this operation?" Two trained investigators read all radiographs independently and reached an acceptable intra-reader agreement. We fitted univariate and multivariate regressions adjusting for potential confounders to examine predictors of willingness to have TKA stratified by sex.

RESULTS

A total of 2172 participants were included. The overall rate of willingness to have TKA was 33.8%. Men were more likely to be willing to have TKA than women with an odds ratio (OR) of 0.73 (95% confidence interval [CI]: 0.60-0.89, P = 0.002). A higher household income (OR: 2.34 for men and 1.77 for women, both P < 0.001), higher SF-12 Physical Component Summary (PCS) score (OR: 1.02 for both gender, P = 0.04 for men and P = 0.01 for women), and being aware of TKA (OR: 2.55 for men and 2.65 for women, both P < 0.001) were associated with a higher willingness to have TKA. Other predictors of higher willingness to have TKA were younger age (OR: 0.66 for 60-70 years, P = 0.01; and 0.48 for >70 years, P = 0.003, respectively) and lower level of physical activity (OR: 0.57 for moderate, p = 0.04; and 0.62 for heavy, p = 0.04, respectively) among men and a higher education (OR: 1.45 for Junior school, P = 0.04; and 1.66 for high school and above, P = 0.02, respectively) and being overweight among women (OR: 1.38, P = 0.008), respectively. No significant difference was observed between willingness to have TKA and frequent knee pain, VAS of knee pain and Kellgren and Lawrence grades in both men and women.

CONCLUSIONS

The willingness to have TKA among rural residents of northern China was relatively low. Younger age, women, educational level, household income, physical function, and awareness of TKA were positively associated with willingness to have TKA.

Evaluating willingness for surgery using the SMART Choice (Knee) patient prognostic tool for total knee arthroplasty: study protocol for a pragmatic randomised controlled trial

BACKGROUND

Approximately 1 in 5 patients feel unsatisfied after total knee arthroplasty (TKA). Prognostic tools may aid in the patient selection process and reduce the proportion of patients who experience unsatisfactory surgery. This study uses the prognostic tool SMART Choice (Patient Prognostic Tool for Total Knee Arthroplasty) to predict patient improvement after TKA. The tool aims to be used by the patient without clinician input and does not require clinical data such as X-ray findings or blood results. The objective of this study is to evaluate the SMART Choice tool on patient decision making, particularly willingness for surgery. We hypothesise that the use of the SMART Choice tool will influence willingness to undergo surgery, especially when used earlier in the patient TKA journey.

METHODS

This is a multicentred, pragmatic, randomised controlled trial conducted in Melbourne, Australia. Participants will be recruited from the St. Vincent's Hospital, Melbourne (SVHM) Orthopaedic Clinic, and the client base of HCF, Australia (private health insurance company). Patients over 45 years of age who have been diagnosed with knee osteoarthritis and considering TKA are eligible for participation. Participants will be randomised to either use the SMART Choice tool or treatment as usual. The SMART Choice tool provides users with a prediction for improvement or deterioration / no change after surgery based on utility score change calculated from the Veterans-RAND 12 (VR-12) survey. The primary outcome of the study is patient willingness for TKA surgery. The secondary outcomes include evaluating the optimal timing for tool use and using decision quality questionnaires to understand the patient experience when using the tool. Participants will be followed up for 6 months from the time of recruitment.

DISCUSSION

The SMART Choice tool has the potential to improve patient decision making for TKA. Although many prognostic tools have been developed for other areas of surgery, most are confined within academic bodies of work. This study will be one of the first to evaluate the impact of a prognostic tool on patient decision making using a prospective clinical trial, an important step in transitioning the tool for use in clinical practice.

TRIAL REGISTRATION

Australia and New Zealand Clinical Trials Registry (ANZCTR) - ACTRN12622000072718 . Prospectively registered - 21 January 2022.

Willingness to Undergo Joint Surgery Following a First-Line Intervention for Osteoarthritis: Data From the Better Management of People With Osteoarthritis Register

OBJECTIVE

To assess the proportion of participants reconsidering their willingness to undergo surgery after 3 and 12 months. Secondary aims were to analyze and compare the characteristics of individuals willing and unwilling to undergo joint surgery for osteoarthritis (OA) before a first-line intervention, and to study the association between pain intensity, walking difficulties, self-efficacy, and fear of movement with the willingness to undergo surgery.

METHODS

This was an observational study based on Swedish register data. We included 30,578 individuals with knee or hip OA who participated in a first-line intervention including education and exercise.

RESULTS

Individuals willing to undergo surgery at baseline showed a higher proportion of men (40% versus 27%) and more severe symptoms and disability. Respectively, 45% and 30% of the individuals with knee and hip OA who were willing to undergo surgery at baseline became unwilling after the intervention. At the end of the study period (12 months), 35% and 19% of those with knee and hip OA, respectively, who were willing to undergo surgery at baseline became unwilling. High pain intensity, walking difficulties, and fear of movement were associated with higher odds of being willing to undergo surgery at both follow-ups, while increased self-efficacy showed the opposite association.

CONCLUSION

A first-line intervention for OA is associated with reduced willingness to undergo surgery, with a greater proportion among patients with knee OA than hip OA. Due to its temporal variability, willingness to undergo surgery should be used with care to deem surgery eligibility.