Global burden of early-onset osteoarthritis, 1990-2019: results from the Global Burden of Disease Study 2019.

OBJECTIVES: Early-onset osteoarthritis (OA) is an emerging health issue amidst the escalating prevalence of overweight and obesity. However, there are scant data on its disease, economic burden and attributable burden due to high body mass index (BMI). METHODS: Using data from the Global Burden of Diseases Study 2019, we examined the numbers of incident cases, prevalent cases, years lived with disability (YLDs) and corresponding age-standardised rates for early-onset OA (diagnosis before age 55) from 1990 to 2019. The case definition was symptomatic and radiographically confirmed OA in any joint. The average annual percentage changes (AAPCs) of the age-standardised rates were calculated to quantify changes. We estimated the economic burden of early-onset OA and attributable burden to high BMI. RESULTS: From 1990 to 2019, the global incident cases, prevalent cases and YLDs of early-onset OA were doubled. 52.31% of incident OA cases in 2019 were under 55 years. The age-standardised rates of incidence, prevalence and YLDs increased globally and for countries in all Sociodemographic Index (SDI) quintiles (all AAPCs>0, p<0.05), with the fastest increases in low-middle SDI countries. 98.04% of countries exhibited increasing trends in all age-standardised rates. Early-onset OA accounts for US$46.17 billion in healthcare expenditure and US$60.70 billion in productivity loss cost in 2019. The attributable proportion of high BMI for early-onset OA increased globally from 9.41% (1990) to 15.29% (2019). CONCLUSIONS: Early-onset OA is a developing global health problem, causing substantial economic costs in most countries. Targeted implementation of cost-effective policies and preventive intervention is required to address the growing health challenge.

The performance of a Bayesian value-based sequential clinical trial design in the presence of an equivocal cost-effectiveness signal: evidence from the HERO trial.

BACKGROUND: There is increasing interest in the capacity of adaptive designs to improve the efficiency of clinical trials. However, relatively little work has investigated how economic considerations - including the costs of the trial - might inform the design and conduct of adaptive clinical trials. METHODS: We apply a recently published Bayesian model of a value-based sequential clinical trial to data from the 'Hydroxychloroquine Effectiveness in Reducing symptoms of hand Osteoarthritis' (HERO) trial. Using parameters estimated from the trial data, including the cost of running the trial, and using multiple imputation to estimate the accumulating cost-effectiveness signal in the presence of missing data, we assess when the trial would have stopped had the value-based model been used. We used re-sampling methods to compare the design's operating characteristics with those of a conventional fixed length design. RESULTS: In contrast to the findings of the only other published retrospective application of this model, the equivocal nature of the cost-effectiveness signal from the HERO trial means that the design would have stopped the trial close to, or at, its maximum planned sample size, with limited additional value delivered via savings in research expenditure. CONCLUSION: Evidence from the two retrospective applications of this design suggests that, when the cost-effectiveness signal in a clinical trial is unambiguous, the Bayesian value-adaptive design can stop the trial before it reaches its maximum sample size, potentially saving research costs when compared with the alternative fixed sample size design. However, when the cost-effectiveness signal is equivocal, the design is expected to run to, or close to, the maximum sample size and deliver limited savings in research costs.

The burden of OA-health services and economics.

Osteoarthritis (OA) is a highly prevalent and disabling condition that affects over 7% of people globally (528 million people). Prevalence levels are even higher in countries with established market economies, which have older demographic profiles and a higher prevalence of obesity, such as the US (14%). As the 15th highest cause of years lived with disability (YLDs) worldwide, the burden OA poses to individuals is substantial, characterized by pain, activity limitations, and reduced quality of life. The economic impact of OA, which includes direct and indirect (time) costs, is also substantial, ranging from 1 to 2.5% of gross national product (GNP) in countries with established market economies. In regions around the world, the average annual cost of OA for an individual is estimated between $700-$15,600 (2019 USD). Though trends in OA prevalence vary by geography, the prevalence of OA is projected to rise in regions with established market economies such as North America and Europe, where populations are aging and the prevalence of obesity is rising.

Osteoarthritis year in review 2020: epidemiology & therapy.

This personal choice of research themes and highlights from within the past year (1 May 2019 to 14 April 2020) spans descriptive, analytical-observational, and intervention studies. Descriptive estimates of the burden of osteoarthritis continue to underscore its position as a leading cause of disability worldwide, but whose burden is often felt greatest among disadvantaged and marginalised communities. Many of the major drivers of that burden are known but epidemiological studies continue the important work of elaborating on their timing, dose, specificity, and reversibility and placing them within an appropriate multi-level framework. A similar process of elaboration is seen also in studies (re-)estimating the relative benefits and risks of existing interventions, in some cases helping to identify low-value care, unwarranted variation, and initiating processes of deprescribing and decommissioning. Such research need not engender therapeutic nihilism. Our review closes by highlighting some emerging evidence on the efficacy and safety of novel therapeutic interventions and with a selective roll-call of methodological and meta-research in OA illustrating the continued commitment to improving research quality.

The clinical and cost effectiveness of splints for thumb base osteoarthritis: a randomized controlled clinical trial.

OBJECTIVES: To investigate the clinical effectiveness, efficacy and cost effectiveness of splints (orthoses) in people with symptomatic basal thumb joint OA (BTOA). METHODS: A pragmatic, multicentre parallel group randomized controlled trial at 17 National Health Service (NHS) hospital departments recruited adults with symptomatic BTOA and at least moderate hand pain and dysfunction. We randomized participants (1:1:1) using a computer-based minimization system to one of three treatment groups: a therapist supported self-management programme (SSM), a therapist supported self-management programme plus a verum thumb splint (SSM+S), or a therapist supported self-management programme plus a placebo thumb splint (SSM+PS). Participants were blinded to group allocation, received 90 min therapy over 8 weeks and were followed up for 12 weeks from baseline. Australian/Canadian (AUSCAN) hand pain at 8 weeks was the primary outcome, using intention to treat analysis. We calculated costs of treatment. RESULTS: We randomized 349 participants to SSM (n = 116), SSM+S (n = 116) or SSM+PS (n = 117) and 292 (84%) provided AUSCAN Osteoarthritis Hand Index hand pain scores at the primary end point (8 weeks). All groups improved, with no mean treatment difference between groups: SSM+S vs SSM -0.5 (95% CI: -1.4, 0.4), P = 0.255; SSM+PS vs SSM -0.1 (95% CI: -1.0, 0.8), P = 0.829; and SSM+S vs SSM+PS -0.4 (95% CI: -1.4, 0.5), P = 0.378. The average 12-week costs were: SSM £586; SSM+S £738; and SSM+PS £685. CONCLUSION: There was no additional benefit of adding a thumb splint to a high-quality evidence-based, supported self-management programme for thumb OA delivered by therapists. TRIAL REGISTRATION: ISRCTN 54744256 (http://www.isrctn.com/ISRCTN54744256).

A Systematic Review of the Incidence, Prevalence, Costs, and Activity and Work Limitations of Amputation, Osteoarthritis, Rheumatoid Arthritis, Back Pain, Multiple Sclerosis, Spinal Cord Injury, Stroke, and Traumatic Brain Injury in the United States: A 2019 Update.

OBJECTIVES: To present recent evidence on the prevalence, incidence, costs, activity limitations, and work limitations of common conditions requiring rehabilitation. DATA SOURCES: Medline (PubMed), SCOPUS, Web of Science, and the gray literature were searched for relevant articles about amputation, osteoarthritis, rheumatoid arthritis, back pain, multiple sclerosis, spinal cord injury, stroke, and traumatic brain injury. STUDY SELECTION: Relevant articles (N=106) were included. DATA EXTRACTION: Two investigators independently reviewed articles and selected relevant articles for inclusion. Quality grading was performed using the Methodological Evaluation of Observational Research Checklist and Newcastle-Ottawa Quality Assessment Form. DATA SYNTHESIS: The prevalence of back pain in the past 3 months was 33.9% among community-dwelling adults, and patients with back pain contribute $365 billion in all-cause medical costs. Osteoarthritis is the next most prevalent condition (approximately 10.4%), and patients with this condition contribute $460 billion in all-cause medical costs. These 2 conditions are the most prevalent and costly (medically) of the illnesses explored in this study. Stroke follows these conditions in both prevalence (2.5%-3.7%) and medical costs ($28 billion). Other conditions may have a lower prevalence but are associated with relatively higher per capita effects. CONCLUSIONS: Consistent with previous findings, back pain and osteoarthritis are the most prevalent conditions with high aggregate medical costs. By contrast, other conditions have a lower prevalence or cost but relatively higher per capita costs and effects on activity and work. The data are extremely heterogeneous, which makes anything beyond broad comparisons challenging. Additional information is needed to determine the relative impact of each condition.

Long-term effect of patient decision aids on use of joint replacement and health care costs.

OBJECTIVE: Shared decision-making supported by patient decisions aids may improve care and reduce healthcare costs for persons considering total joint replacement. Observational studies and randomized controlled trials (RCTs) have evaluated the short-term impact of decision aids on uptake of surgery and costs, however the long-term effects are unclear. This analysis aimed to evaluate the effect of patient decision aids on 1) use of joint replacement up to 7-years of follow-up, and 2) osteoarthritis-related health system costs. METHODS: 324 participants in a Canadian RCT with 2-years follow-up who were randomized to either a decision aid (n = 161) or usual care (n = 163) had their trial and health administrative data linked. The proportion undergoing surgery up to 7-years were compared using cumulative incidence plots and competing risk regression. Mean per-patient costs were compared using two sample t-tests. RESULTS: At 2-years, 119 of 161 (73.9%) patients in the decision aid arm and 129 of 163 (79.1%) patients in the usual care arm had surgery. Between two and 7-years, 17 additional patients in both the decision aid (of 42, 40.4%) and usual care (of 34, 50.0%) arms underwent surgery. At 7-years, patients exposed to decision aids had a similar likelihood of undergoing surgery (HR = 0.92, 95% CI:0.73 to 1.17, p = 0.49) and mean per-patient costs ($21,965 vs $23,681, incremental cost: -$1,717, 95% CI:-$5,631 to $2,198) compared to those in usual care. CONCLUSIONS: This is the first study to assess the long-term impact of decision aids on use of joint replacement and healthcare costs. These results are not conclusive but can inform future trial design. CLINICAL TRIAL REGISTRATION: The full trial protocol is available at ClinicalTrials.Gov (NCT00911638).

"You can be blind because of loving them so much": the impact on owners in the United Kingdom of living with a dog with osteoarthritis.

BACKGROUND: There is growing awareness that caring for a chronically ill pet may have a detrimental impact on their owner's quality of life. Companion animal orthopaedic disease has received little research interest in this context. Canine osteoarthritis is known to negatively affect the welfare of many dogs in the United Kingdom, but its consequences for their owners has not previously been described. The aim of this study was to use a qualitative methodology to explore the impacts on a dog owner that occur following their dog's diagnosis with osteoarthritis. Owners of osteoarthritic dogs based in the United Kingdom (UK) were recruited through veterinary practices to participate in semi-structured interview about life with their dog. Interviews were transcribed verbatim and thematic analysis was used to construct key themes. This publication describes the theme that focused on the impact(s) that the dog's condition had had on the life of their owner. RESULTS: Forty owners of 35 dogs of a range of breeds and ages were interviewed. A wide range of negative impacts on the physical, mental and financial health of owners were described. Few had any prior experience of canine osteoarthritis, and owners of young dogs appeared to be particularly affected by the diagnosis. Owners detailed increasing worry over time about their pet's condition, frequently combined with a growing need to physically assist their dog. Sometimes this led them to seek information about, and purchase, adjunctive therapies and products. The dog's reduced mobility and need for medications progressively limited their own lifestyles and ability to have time away from their pet. Owners typically described a strong bond with their dog as a motivator to provide ongoing care. CONCLUSIONS: The negative impacts on owners of caring for an osteoarthritic dog appear multi-faceted and may be sustained over many years, particularly if the dog is young at diagnosis. Owners may be highly motivated to improve their dog's mobility and to reduce the impact the condition has on their own lives, yet they may be unsure how to achieve this. Veterinary professionals should inform and support these owners as much as possible.

The value of artificial neural networks for predicting length of stay, discharge disposition, and inpatient costs after anatomic and reverse shoulder arthroplasty.

HYPOTHESIS/PURPOSE: The objective is to develop and validate an artificial intelligence model, specifically an artificial neural network (ANN), to predict length of stay (LOS), discharge disposition, and inpatient charges for primary anatomic total (aTSA), reverse total (rTSA), and hemi- (HSA) shoulder arthroplasty to establish internal validity in predicting patient-specific value metrics. METHODS: Using data from the National Inpatient Sample between 2003 and 2014, 4 different ANN models to predict LOS, discharge disposition, and inpatient costs using 39 preoperative variables were developed based on diagnosis and arthroplasty type: primary chronic/degenerative aTSA, primary chronic/degenerative rTSA, primary traumatic/acute rTSA, and primary acute/traumatic HSA. Models were also combined into diagnosis type only. Outcome metrics included accuracy and area under the curve (AUC) for a receiver operating characteristic curve. RESULTS: A total of 111,147 patients undergoing primary shoulder replacement were included. The machine learning algorithm predicting the overall chronic/degenerative conditions model (aTSA, rTSA) achieved accuracies of 76.5%, 91.8%, and 73.1% for total cost, LOS, and disposition, respectively; AUCs were 0.75, 0.89, and 0.77 for total cost, LOS, and disposition, respectively. The overall acute/traumatic conditions model (rTSA, HSA) had accuracies of 70.3%, 79.1%, and 72.0% and AUCs of 0.72, 0.78, and 0.79 for total cost, LOS, and discharge disposition, respectively. CONCLUSION: Our ANN demonstrated fair to good accuracy and reliability for predicting inpatient cost, LOS, and discharge disposition in shoulder arthroplasty for both chronic/degenerative and acute/traumatic conditions. Machine learning has the potential to preoperatively predict costs, LOS, and disposition using patient-specific data for expectation management between health care providers, patients, and payers.

Current diagnosis-related group-based bundling for upper-extremity arthroplasty: a case of insufficient risk adjustment and misaligned incentives.

BACKGROUND: The current Centers for Medicare & Medicaid Services diagnosis-related group (DRG) bundled-payment model for upper-extremity arthroplasty does not differentiate between the type of arthroplasty (anatomic total shoulder arthroplasty [ATSA] vs. reverse total shoulder arthroplasty vs. total elbow arthroplasty [TEA] vs. total wrist arthroplasty) or the diagnosis and indication for surgery (fracture vs. degenerative osteoarthritis vs. inflammatory arthritis). METHODS: The 2011-2014 Medicare 5% Standard Analytical Files (SAF5) database was queried to identify patients undergoing upper-extremity arthroplasty under DRG-483 and -484. Multivariate linear regression modeling was used to assess the marginal cost impact of patient-, procedure-, diagnosis-, and state-level factors on 90-day reimbursements. RESULTS: Of 6101 patients undergoing upper-extremity arthroplasty, 3851 (63.1%) fell under DRG-484 and 2250 (36.9%) were classified under DRG-483. The 90-day risk-adjusted cost of an ATSA for degenerative osteoarthritis was $14,704 ± $655. Patient-level factors associated with higher 90-day reimbursements were male sex (+$777), age 75-79 years (+$740), age 80-84 years (+$1140), and age 85 years or older (+$984). Undergoing a TEA (+$2175) was associated with higher reimbursements, whereas undergoing a shoulder hemiarthroplasty (-$1000) was associated with lower reimbursements. Surgery for a fracture (+$2354) had higher 90-day reimbursements. Malnutrition (+$10,673), alcohol use or dependence (+$6273), Parkinson disease (+$4892), cerebrovascular accident or stroke (+$4637), and hyper-coagulopathy (+$4463) had the highest reimbursements. In general, states in the South and Midwest had lower 90-day reimbursements associated with upper-extremity arthroplasty. CONCLUSIONS: Under the DRG-based model piloted by the Centers for Medicare & Medicaid Services, providers and hospitals would be reimbursed the same amount regardless of the type of surgery (ATSA vs. hemiarthroplasty vs. TEA), patient comorbidity burden, and diagnosis and indication for surgery (fracture vs. degenerative pathology), despite each of these factors having different resource utilization and associated reimbursements. Lack of risk adjustment for fracture indications leads to strong financial disincentives within this model.

Osteoarthritis is a serious disease.

Osteoarthritis (OA) is the most common form of arthritis, affecting 1 in 3 people over age 65 and women more so than men. The prevalence of OA is rising due, in part, to the increasing prevalence of OA risk factors, including obesity, physical inactivity, and joint injury. OA-related joint pain causes functional limitations, poor sleep, fatigue, depressed mood and loss of independence. Compared to age and sex-matched peers, OA patients incur higher out of pocket health-related expenditures and substantial costs due to lost productivity. Most people with OA (59-87%) have at least one other chronic condition, especially cardiometabolic conditions. Symptomatic OA may impair the ability of people with cardiometabolic conditions to exercise and lose weight, resulting in increased risk for poor outcomes. People with OA and other chonic conditions are less likely to receive a diagnosis or recommended treatment. Further, in these individuals the most effective and safest treatment is physical activity/exercise coupled with self-management strategies, which is only moderately effective. Given the already high, and growing, burden of OA, enhanced effort is required to identify better - more effective and safe - treatments for the majority of people with OA who are living with other chronic conditions.

Economic Impact of Adherence to Pain Treatment Guidelines in Chronic Pain Patients.

OBJECTIVES: This research compared health care resource use (HCRU) and costs for pharmacotherapy prescribing that was adherent vs nonadherent to published pain management guidelines. Conditions included osteoarthritis (OA) and gout (GT) for nociceptive/inflammatory pain, painful diabetic peripheral neuropathy (pDPN) and post-herpetic neuralgia (PHN) for neuropathic pain, and fibromyalgia (FM) for sensory hypersensitivity pain. METHODS: This retrospective cohort study used claims from MarketScan Commercial and Medicare Databases identifying adults newly diagnosed with OA, GT, pDPN, PHN, or FM during July 1, 2006, to June 30, 2013, with 12-month continuous coverage before and after initial (index) diagnosis. Patients were grouped according to their pharmacotherapy pattern as adherent, nonadherent, or "unsure" according to published pain management guidelines using a claims-based algorithm. Adherent and nonadherent populations were compared descriptively and using multivariate statistical analyses for controlling bias. RESULTS: Final cohort sizes were 441,465 OA, 76,361 GT, 10,645 pDPN, 4,010 PHN, and 150,321 FM, with adherence to guidelines found in 51.1% of OA, 25% of GT, 59.5% of pDPN, 54.9% of PHN, and 33.5% of FM. Adherent cohorts had significantly (P < 0.05) fewer emergency department (ED) visits and lower proportions with hospitalizations or ED visits. Mean health care costs increased following diagnosis across all conditions; however, adherent cohorts had significantly lower increases in adjusted costs pre-index to postindex (OA $5,286 vs $9,532; GT $3,631 vs $7,873; pDPN $9,578 vs $16,337; PHN $2,975 vs $5,146; FM $2,911 vs $3,708; all P < 0.001; adherent vs nonadherent, respectively). CONCLUSIONS: Adherence to pain management guidelines was associated with significantly lower HCRU and costs compared with nonadherence to guidelines.

Cost-effectiveness of hydrotherapy versus land-based therapy in patients with musculoskeletal disorders in Singapore.

BACKGROUND: The study evaluated the cost-effectiveness of hydrotherapy versus land-based therapy in patients with musculoskeletal disorders (MSDs) in Singapore. METHODS: A decision-analytic model was constructed to compare the cost-effectiveness of hydrotherapy to land-based therapy over 3 months from societal perspective. Target population comprised patients with low back pain (LBP), osteoarthritis (OA), rheumatoid arthritis (RA), total hip replacement (THR) and total knee replacement (TKR). Subgroup analyses were carried out to determine the cost-effectiveness of hydrotherapy in individual MSDs. Relative treatment effects were obtained through a systematic review of published data. RESULTS: Compared to land-based therapy, hydrotherapy was associated with an incremental cost-effectiveness ratio (ICER) of SGD 27 471 per quality-adjusted life-year (QALY) gained, which was below the willingness-to-pay threshold of SGD 70 000 per QALY (one gross domestic product per capita in Singapore in 2015). For the respective MSDs, hydrotherapy were dominant (more effective and less costly) in THR and TKR, cost-effective for LBP and RA, and not cost-effective for OA. Treatment adherence and cost of hydrotherapy were key drivers to the ICER values. CONCLUSIONS: Hydrotherapy was a cost-effective rehabilitation compared to land-based therapy for a population with MSDs in Singapore. However, the benefit of hydrotherapy was not observed in patients with OA.

Cost-effectiveness evaluation of glucosamine for osteoarthritis based on simulation of individual patient data obtained from aggregated data in published studies.

BACKGROUND: The economic evaluation of treatments usually requires access to individual patient data, which is difficult to obtain. Moreover, in osteoarthritis, health utility scores are unavailable and can be assessed only using a validated equation model based on various clinical data. We aimed to develop and validate a methodology to simulate individual health utility scores from aggregated clinical data available in published studies to calculate the cost-effectiveness of different glucosamine preparations (i.e., crystalline glucosamine sulfate, glucosamine sulfate, and glucosamine hydrochloride) used for osteoarthritis. METHODS: We developed a method to simulate individual utility values and validated the model by comparing the results obtained with the simulation and the results of one trial where the utility scores are available. Then, we simulated the utility scores of 10 published trials that used different glucosamine preparations. The utility estimates were used to calculate the quality-adjusted life year (QALY) using the area-under-the-curve method. Costs were for the glucosamine product only. The incremental cost/effectiveness ratio (ICER) was then calculated. RESULTS: The values of utility scores calculated from data sources and those simulated with the model were similar. From 10 studies where utility was simulated, four used crystalline glucosamine sulfate, and six used other formulations. The ICER revealed that compared to placebo, crystalline glucosamine sulfate only was cost-effective at all time points and up to 3 years with a median ICER of 5347.2 €/QALY at month 3, 4807.2 €/QALY at month 6 and 11535.5 €/QALY at year 3. The use of other formulations was not cost-effective. CONCLUSION: Using a new model to simulate individual health utility scores of patients included in ten published trials, ICER analysis showed that the use of crystalline glucosamine sulfate is cost-effective, while other formulations were not. The results confirm the importance of the formulation of glucosamine products.

Practical guidance for engaging patients in health research, treatment guidelines and regulatory processes: results of an expert group meeting organized by the World Health Organization (WHO) and the European Society for Clinical and Economic Aspects of Osteoporosis, Osteoarthritis and Musculoskeletal Diseases (ESCEO).

There is increasing emphasis on patient-centred research to support the development, approval and reimbursement of health interventions that best meet patients' needs. However, there is currently little guidance on how meaningful patient engagement may be achieved. An expert working group, representing a wide range of stakeholders and disciplines, was convened by the European Society for Clinical and Economic Aspects of Osteoporosis, Osteoarthritis and Musculoskeletal Diseases (ESCEO) and the World Health Organization (WHO). Through a structured, collaborative process the group generated practical guidance to facilitate optimal patient engagement in clinical development and regulatory decisions. Patient engagement is a relational process. The principles outlined in this report were based on lessons learned through applied experience and on an extensive dialogue among the expert participants. This practice guidance forms a starting point from which tailoring of the approach to suit different chronic diseases may be undertaken.

An analysis of costs associated with shoulder arthroplasty.

BACKGROUND: The purpose of this study was to identify factors associated with variation in direct costs with shoulder arthroplasty. METHODS: This was a retrospective study of all shoulder arthroplasties performed at a single facility between July 1, 2011, and November 30, 2016. We collected patient factors, indications, procedure (including implant details), implant brand (A, B, and other), and complications. We collected direct costs over a 90-day period using a validated internal tool. We identified patient and procedure characteristics associated with costs using multivariable generalized linear models. RESULTS: A total of 361 patients were included, 19% with revision arthroplasty procedures, 32% with anatomic total shoulder arthroplasties, and 66% with reverse total shoulder arthroplasties (RTSAs). Of total costs, 13% were operative facility utilization costs and 58% were operative supply costs. Factors associated with increased total cost included younger age (P = .002) and an indication for surgery of other, that is, not osteoarthritis, a failed arthroplasty, or the sequelae of a rotator cuff tear (P = .030). Factors associated with increased operative costs included younger age (P = .002), use of an RTSA (P < .001), use of a bone graft (P < .001), implant brand B (P = .098), implant brands other than A and B (P = .04), the sequelae of a rotator cuff tear as an indication for surgery (P = .041), or an indication for surgery of other (P = .007). CONCLUSION: Most short-term (90-day) costs with shoulder arthroplasty are operative costs. Nonmodified factors associated with increased cost included younger age and less common indications for surgery, whereas potentially modifiable factors included the intraoperative use of a bone graft, implant brand, and RTSA use.

Sleep Apnea Increases Ninety-Day Complications and Cost Following Primary Total Joint Arthroplasty.

BACKGROUND: Sleep apnea (SA) negatively affects bone mineralization, cognition, and immunity. There is paucity in the literature regarding the impact of SA on total joint arthroplasty (TJA). The purpose of this study is to compare complications in patients with and without SA undergoing either total knee (TKA) or total hip arthroplasty (THA). METHODS: A retrospective review from 2005 to 2014 was conducted using the Medicare Standard Analytical Files. Patients with and without SA on the day of the primary TJA were queried using the International Classification of Diseases, ninth revision codes. Patients were matched by age, gender, Charlson Comorbidity Index), and body mass index. Patients were followed for 2 years after their surgery. Ninety-day medical complications, complications related to implant, readmission rates, length of stay, and 1-year mortality were quantified and compared. Logistic regression was used to calculate odds ratios (OR) with their respective 95% confidence interval and P values. RESULTS: After the random matching process there were 529,240 patients (female = 271,656, male = 252,106, unknown = 5478) with (TKA = 189,968, THA = 74,652) and without (TKA = 189,968, THA = 74,652) SA who underwent primary TJA between 2005 and 2014. Patients with SA had greater odds of developing medical complications following TKA (OR 3.71) or THA (OR 2.48). CONCLUSION: The study illustrates an increased risk of developing postoperative complications in patients with SA following primary TJA. Surgeons should educate patients on these adverse effects and encourage the use of continuous positive airway pressure which has been shown to mitigate many postoperative complications.

Impact of Co-Morbidities on the Cost of Care in Primary Elective Joint Arthroplasty.

BACKGROUND: The Comprehensive Care for Joint Replacement model is the newest iteration of the bundled payment methodology introduced by the Centers for Medicare and Medicaid Services. Comprehensive Care for Joint Replacement model, while incentivizing providers to deliver care at a lower cost, does not incorporate any patient-level risk stratification. Our study evaluated the impact of specific medical co-morbidities on the cost of care in total joint arthroplasty (TJA) patients. METHODS: A retrospective study was conducted on 1258 Medicare patients who underwent primary elective TJA between January 2015 and July 2016 at a single institution. There were 488 males, 552 hips, and the mean age was 71 years. Cost data were obtained from the Centers for Medicare and Medicaid Services. Co-morbidity information was obtained from a manual review of patient records. Fourteen co-morbidities were included in our final multiple linear regression models. RESULTS: The regression models significantly predicted cost variation (P < .001). For index hospital costs, a history of cardiac arrhythmias (P < .001), valvular heart disease (P = .014), and anemia (P = .020) significantly increased costs. For post-acute care costs, a history of neurological conditions like Parkinson's disease or seizures (P < .001), malignancy (P = .001), hypertension (P = .012), depression (P = .014), and hypothyroidism (P = .044) were associated with increases in cost. Similarly, for total episode cost, a history of neurological conditions (P < .001), hypertension (P = .012), malignancy (P = .023), and diabetes (P = .029) were predictors for increased costs. CONCLUSION: The cost of care in primary elective TJA increases with greater patient co-morbidity. Our data provide insight into the relative impact of specific medical conditions on cost of care and may be used in risk stratification in future reimbursement methodologies.

Health care resource use, health care expenditures and absenteeism costs associated with osteoarthritis in US healthcare system.

OBJECTIVES: We determined incremental health care resource utilization, incremental health care expenditures, incremental absenteeism, and incremental absenteeism costs associated with osteoarthritis. DESIGN: Medical Expenditure Panel Survey (MEPS) for 2011 was used as data source. Individuals 18 years or older and employed during 2011 were eligible for inclusion in the sample for analyses. Individuals with osteoarthritis were identified based on ICD-9-CM codes. Incremental health care resource utilization included annual hospitalization, hospital days, emergency room visits and outpatient visits. Incremental health expenditures included annual inpatient, outpatient, emergency room, medications, miscellaneous and annual total expenditures. RESULTS: Of the total sample, 1354 were diagnosed with osteoarthritis, and compared to non osteoarthritis individuals. Incremental resource utilization, expenditures, absenteeism and absenteeism costs were estimated using regression models, adjusting for age, gender, sex, region, marital status, insurance coverage, comorbidities, anxiety, asthma, hypertension and hyperlipidemia. Regression models revealed incremental mean annual resource use associated with osteoarthritis of 0.07 hospitalizations, equal to 70 additional hospitalizations per 100 osteoarthritic patients annually, and 3.63 outpatient visits, equal to 363 additional visits per 100 osteoarthritic patients annually. Mean annual incremental total expenditures associated with osteoarthritis were $2046. Annually, mean incremental expenditures were largest for inpatient expenditures at $826, followed by mean incremental outpatient expenditures of $659, and mean incremental medication expenditures of $325. Mean annual incremental absenteeism was 2.2 days and mean annual incremental absenteeism costs were $715.74. Total direct expenditures were estimated at $41.7 billion. CONCLUSION: Osteoarthritis was associated with significant incremental health care resource utilization, expenditures, absenteeism and absenteeism costs.

Forecasting the future burden of opioids for osteoarthritis.

OBJECTIVE: To quantify the current national burden of opioids for osteoarthritis (OA) pain in Australia in terms of number of dispensed opioid prescriptions and associated costs, and to forecast the likely burden to the year 2030/31. DESIGN: Epidemiological modelling. METHODS: Published data were obtained on rates of opioid prescribing for people with OA and national OA prevalence projections. Trends in opioid dispensing from 2006 to 2016, and average costs for common opioid subtypes were obtained from the Pharmaceutical Benefits Scheme and Medicare Australia Statistics. Using these inputs, a model was developed to estimate the likely number of dispensed opioid prescriptions and costs to the public healthcare system by 2030/31. RESULTS: In 2015/16, an estimated 1.1 million opioid prescriptions were dispensed in Australia for 403,954 people with OA (of a total 2.2 million Australians with OA). Based on recent dispensing trends and OA prevalence projections, the number of dispensed opioid prescriptions is expected to nearly triple to 3,032,332 by 2030/31, for an estimated 562,610 people with OA. The estimated cost to the Australian healthcare system was $AUD25.2 million in 2015/16, rising to $AUD72.4 million by 2030/31. CONCLUSION: OA-related opioid dispensing and associated costs are set to increase substantially in Australia from 2015/16 to 2030/31. Use of opioids for OA pain is concerning given joint disease chronicity and the risk of adverse events, particularly among older people. These projections represent a conservative estimate of the full financial burden given additional costs associated with opioid-related harms and out-of-pocket costs borne by patients.