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.

Cost of lost productivity in inflammatory arthritis and osteoarthritis in the year before and after diagnosis: An inception cohort study.

AIM: Existing studies on the cost of inflammatory arthritis (IA) and osteoarthritis (OA) are often cross-sectional and/or involve patients with various disease durations, thus not providing a comprehensive perspective on the cost of illness from the time of diagnosis. In this study, we therefore assessed the cost of lost productivity in an inception cohort of patients with IA and OA in the year before and after diagnosis. METHODS: Employment status, monthly income, days absent from work, and presenteeism were collected at diagnosis and 1 year later to estimate the annual costs of unemployment, absenteeism, and presenteeism using human capital approach. Non-parametric bootstrapping was performed to account for the uncertainty of the estimated costs. RESULTS: Compared to patients with OA (n = 64), patients with IA (n = 102, including 48 rheumatoid arthritis, 19 spondyloarthritis, 23 psoriatic arthritis, and 12 seronegative IA patients) were younger (mean age: 52.3 vs. 59.5 years) with a greater proportion receiving treatment (99.0% vs. 67.2%) and a greater decrease in presenteeism score (median: 15% vs 10%) 1 year after diagnosis. Annual costs of absenteeism and presenteeism were lower in patients with IA than those with OA both in the year before (USD566 vs. USD733 and USD8,472 vs. USD10,684, respectively) and after diagnosis (USD636 vs. USD1,035 and USD6,866 vs. USD9,362, respectively). CONCLUSION: Both IA and OA impose substantial cost of lost productivity in the year before and after diagnosis. The greater improvement in productivity seen in patients with IA suggests that treatment for IA improves work productivity.

Comparison of Long-Term Healthcare Cost and Utilisation of Nonoperative and Surgical Management of Thumb CMC Arthritis.

Background: Thumb carpometacarpal joint (CMC) osteoarthritis is the most symptomatic hand arthritis but the long-term healthcare burden for managing this condition is unknown. We sought to compare total healthcare cost and utilisation for operative and nonoperative treatments of thumb CMC arthritis. Methods: We conducted a retrospective longitudinal analysis using a large nationwide insurance claims database. A total of 18,705 patients underwent CMC arthroplasty (trapeziectomy with or without ligament reconstruction tendon interposition) or steroid injections between 1 October 2015 and 31 December 2018. Primary outcomes, healthcare utilisation and costs were measured from 1 year pre-intervention to 3 years post-intervention. Generalised linear mixed effect models adjusted for potentially confounding factors such as the Elixhauser comorbidity score with propensity score matching were applied to evaluate the association between the primary outcomes and treatment type. Results: A total of 13,646 patients underwent treatment through steroid injections, and 5,059 patients underwent CMC arthroplasty. At 1 year preoperatively, the surgery group required $635 more healthcare costs (95% CI [594.28, 675.27]; p < 0.001) and consumed 42% more healthcare utilisation (95% CI [1.38, 1.46]; p < 0.0001) than the steroid injection group. At 3 years postoperatively, the surgery group required $846 less healthcare costs (95% CI [-883.07, -808.51], p < 0.0001) and had 51% less utilisation (95% CI [0.49, 0.53]; p < 0.0001) annually. Cumulatively over 3 years, the surgical group on average was $4,204 costlier than its counterpart secondary to surgical costs. Conclusions: CMC arthritis treatment incurs high healthcare cost and utilisation independent of other medical comorbidities. At 3 years postoperatively, the annual healthcare cost and utilisation for surgical patients were less than those for patients who underwent conservative management, but this difference was insufficient to offset the initial surgical cost. Level of Evidence: Level III (Therapeutic).