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首页> 外文期刊>Medical decision making: An international journal of the Society for Medical Decision Making >Exploring the Impact of Quality of Life on Survival: A Case Study in Total Knee Replacement Surgery
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Exploring the Impact of Quality of Life on Survival: A Case Study in Total Knee Replacement Surgery

机译:探索生活质量对生存的影响:全膝关节置换手术的案例研究

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Background. There is growing evidence that quality of life (QoL) has a strong association with mortality. However, incorporation of QoL is uncommon in standard survival modeling. Methods. Using data extracted from a registry of patients undergoing total knee replacement (TKR), the impact of incorporating QoL in survival modeling was explored using 4 parametric survival models. QoL was incorporated and tested in 2 forms, which are baseline and change in QoL due to intervention. Life expectancy and quality-adjusted life years (QALYs) were calculated and comparisons made to a reference model (no QoL) to translate the findings in the context of modeled economic evaluations. Results. A total of 2858 TKR cases (2309 patients) who had TKR between 2006 and 2015 were included in this analysis. Increases in baseline and change in QoL were associated with a reduction in mortality. Compared to the reference model, differences of up to 0.32 life years and 0.53 QALYs were observed, and these translated into a 9.5% change in incremental effectiveness. These differences were much larger as the strength of the association between QoL and mortality increased. Conclusions. This work has demonstrated that the inclusion of QoL measures (at baseline and change from baseline) when extrapolating survival does matter. It can influence health outcomes such as life expectancy and QALYs, which are relevant in cost-effectiveness analysis. This is important because neglecting the correlation between QoL and mortality can lead to imprecise extrapolations and thus risk misleading results affecting subsequent decisions made by policy makers.
机译:背景。越来越多的证据表明生活质量(QOL)具有强烈的死亡率联系。然而,在标准生存建模中,QOL的掺入罕见。方法。使用从经历全膝关节置换术(TKR)的患者的注册表中提取的数据,使用4个参数生存模型探讨了将QOL掺入生存型的影响。 QoL掺入并以2种形式进行测试,这是基线,由于干预导致QOL变化。计算预期寿命和质量调整的生活年(QALYS)并计算并对参考模型(无QOL)进行比较,以翻译在模型经济评估的背景下的调查结果。结果。在此分析中纳入了2006年至2015年间TKR的2858例TKR病例(2309名患者)。基线的增加和QOL变化与死亡率降低有关。与参考模型相比,观察到高达0.32的差异和0.53qAlys,这些差异转化为增量效率的9.5%变化。随着QOL与死亡率之间的关联强度增加,这些差异要大得多。结论。这项工作表明,在外推存活确实重要时,将QOL措施(在基线上的基线和变化)列入。它可以影响寿命和qalys等健康结果,这些寿命和qalys在成本效益分析中相关。这是重要的,因为忽略QOL和死亡率之间的相关性可能导致不精确的外推,因此风险误导性会产生政策制定者所作的后续决定。

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