Estimating utility values for health states of type 2 diabetic patients using the EQ-5D (UKPDS 62)
Estimating utility values for health states of type 2 diabetic patients using the EQ-5D (UKPDS 62)
复制标题
DOI：
10.1177/027298902400448902
复制
发表时间：
2002-07-01
影响因子：
3.6
通讯作者：
Holman, R
中科院分区：
文献类型：
--
作者：
Clarke, P;Gray, A;Holman, R
目的。本研究的目的是分析英国前瞻性糖尿病研究 (UKPDS) 的生活质量数据，以估计糖尿病相关并发症对基于效用的生活质量衡量标准的影响。方法。 EuroQol EQ-5D 仪器于 1996 年对 3667 名 UKPDS 2 型糖尿病患者进行了测试。基于 3192 名受访者数据的 Tobit 和删失最小绝对偏差 (CLAD) 回归分析用于估计主要并发症对 (1) 视觉模拟量表 (VAS) 和 (2) 从基于人群的时间权衡值得出的 EQ-5D 效用的影响。结果。使用tobit模型，对关税值的影响如下：心肌梗塞= -0.055（95％置信区间[CI] = -0.067，-0.042），1只眼睛失明= -0.074（95％CI = -0.124，-0.052），缺血性心脏病= -0.090（95％CI = -0.126， -0.054)，心力衰竭 = -0.108 (95% CI = -0.169, -0.048)，中风 = -0.164 (95% CI = -0.222, -0.105)，截肢 = -0,280 (95% CI = -0.389,-0.170)。对VAS分数的影响较小，但排名相同。还报告并比较了基于非参数 CLAD 估计量的这些影响的估计值。结论。这些结果证明了 6 种并发症对基于效用的生活质量衡量标准的影响程度，可用于估计减少这些糖尿病相关并发症的干预措施的结果。
Purpose. The aim of this study was to analyze quality-of-life data from the United Kingdom Prospective Diabetes Study (UKPDS) to estimate the impact of diabetes-related complications on utility-based measures of quality of life. Methods. The EuroQol EQ-5D instrument was administered in 1996 to 3667 UKPDS patients with type 2 diabetes. Tobit and censored least absolute deviations (CLAD) regression analysis based on data from the 3192 respondents was used to estimate the impact of major complications on (1) the visual analog scale (VAS) and (2) the EQ-5D utilities derived from population-based time trade-off values. Results. Using the tobit model, the effect on tariff values was as follows: myocardial infarction = -0.055 (95% confidence interval [CI] = -0.067, -0.042), blindness in 1 eye = -0.074 (95% CI= -0.124, -0.052), ischemic heart disease = -0.090 (95% CI = -0.126, -0.054), heart failure = -0.108 (95% CI = -0.169, -0.048), stroke = -0.164 (95% CI = -0.222, -0.105), and amputation = -0,280 (95% CI = -0.389,-0.170). The impact on the VAS scores was smaller, but the ranking was identical. Estimates of these effects, based on the nonparametric CLAD estimator, are also reported and compared. Conclusion. These results demonstrate the magnitude of the impact of 6 complications on utility-based measures of quality of life, which can be used to estimate the outcome of interventions that reduce these diabetes-related complications.