Krane Felix, Heck Vincent Johann, Leyendecker Jannik, Klug Kristina, Klug Alexander, Hackl Michael, Kircher Jörn, Müller Lars Peter, Leschinger Tim
University Hospital Cologne, Department of Orthopedics, Trauma and Plastic Surgery, University of Cologne, Kerpener Str. 62, 50937 Cologne, Germany.
Department of Psychology, Goethe-University Frankfurt, Theodor-W.-Adorno Platz 6, PEG, 60629 Frankfurt am Main, Germany.
Healthcare (Basel). 2024 Jul 2;12(13):1322. doi: 10.3390/healthcare12131322.
This study provides a statistical forecast for the development of total elbow arthroplasties (TEAs) in Germany until 2045. The authors used an autoregressive integrated moving average (ARIMA), Error-Trend-Seasonality (ETS), and Poisson model to forecast trends in total elbow arthroplasty based on demographic information and official procedure statistics. They predict a significant increase in total elbow joint replacements, with a higher prevalence among women than men. Comprehensive national data provided by the Federal Statistical Office of Germany (Statistisches Bundesamt) were used to quantify TEA's total number and incidence rates. Poisson regression, exponential smoothing with Error-Trend-Seasonality, and autoregressive integrated moving average models (ARIMA) were used to predict developments in the total number of surgeries until 2045. Overall, the number of TEAs is projected to increase continuously from 2021 to 2045. This will result in a total number of 982 (TEAs) in 2045 of mostly elderly patients above 80 years. Notably, female patients will receive TEAs 7.5 times more often than men. This is likely influenced by demographic and societal factors such as an ageing population, changes in healthcare access and utilization, and advancements in medical technology. Our projection emphasises the necessity for continuous improvements in surgical training, implant development, and rehabilitation protocols.
本研究对德国直至2045年的全肘关节置换术(TEA)发展情况进行了统计预测。作者使用自回归积分滑动平均(ARIMA)模型、误差-趋势-季节性(ETS)模型和泊松模型,基于人口统计信息和官方手术统计数据来预测全肘关节置换术的趋势。他们预测全肘关节置换手术数量将显著增加,女性的患病率高于男性。德国联邦统计局提供的全面国家数据被用于量化TEA的总数和发病率。使用泊松回归、带误差-趋势-季节性的指数平滑法以及自回归积分滑动平均模型(ARIMA)来预测到2045年手术总数的发展情况。总体而言,预计从2021年到2045年TEA的数量将持续增加。到2045年,这将导致总共982例TEA,主要是80岁以上的老年患者。值得注意的是,女性患者接受TEA的频率将比男性高7.5倍。这可能受到人口老龄化、医疗保健获取和利用的变化以及医疗技术进步等人口和社会因素的影响。我们的预测强调了在外科培训、植入物开发和康复方案方面持续改进的必要性。