Department of Social Medicine, University of Bristol, Canynge Hall, 39 Whatley Rd, Bristol, BS8 2PS, UK.
Qual Life Res. 2010 Apr;19(3):323-31. doi: 10.1007/s11136-010-9590-z. Epub 2010 Jan 22.
Many trials do not measure quality-adjusted life years (QALYs). Therefore, decision analysts often map condition-specific outcomes to preference scores. We estimated the relationship between changes in preference scores and commonly reported condition-specific outcomes in patients with urinary incontinence (UI) due to neurogenic detrusor overactivity.
In 59 patients recruited to a neurogenic UI trial, clinical outcomes (UI episodes), condition-specific quality of life (Incontinence Quality of Life Instrument (I-QOL)), and SF-6D preference scores were measured at enrollment and 24 weeks. We used multiple linear regression to estimate the impact on SF-6D scores of 50; 50-99 and 100% reductions in UI episodes and a 10-point improvement in I-QOL.
By 24 weeks, mean (95% CI) daily UI episodes fell by 0.85 (0.04, 1.3) and mean I-QOL scores improved by 18 (12, 24). SF-6D scores increased by 0.03 (0.003, 0.058), due to improvements in role limitations. A > or = 50% reduction in UI episodes was achieved by 49% of patients and corresponded to a 0.09 (0.02, 0.16) SF-6D increase. A > or = 10-point increase in I-QOL was attained by 65% of patients and was associated with a 0.05 (-0.02, 0.12) SF-6D increase.
These estimates provide preliminary data for decision analysts wishing to map neurogenic UI outcomes to preference scores.
许多试验并未测量质量调整生命年(QALYs)。因此,决策分析人员通常将特定于疾病的结局映射到偏好评分。我们评估了神经源性逼尿肌过度活动引起的尿失禁(UI)患者的常见报告的特定于疾病的结局与偏好评分变化之间的关系。
在一项神经源性 UI 试验中招募的 59 名患者中,在入组时和 24 周时测量了临床结局(UI 发作),特定于疾病的生活质量(失禁生活质量量表(I-QOL))和 SF-6D 偏好评分。我们使用多元线性回归来估计 SF-6D 评分受以下因素影响的情况:UI 发作减少 50%;50-99%和 100%,以及 I-QOL 改善 10 分。
到 24 周时,每日 UI 发作的平均值(95%CI)减少了 0.85(0.04,1.3),I-QOL 评分的平均值提高了 18(12,24)。SF-6D 评分增加了 0.03(0.003,0.058),这是由于角色限制的改善所致。49%的患者达到了 UI 发作减少≥50%,对应于 SF-6D 增加 0.09(0.02,0.16)。65%的患者达到了 I-QOL 增加≥10 分,与 SF-6D 增加 0.05(-0.02,0.12)相关。
这些估计值为希望将神经源性 UI 结局映射到偏好评分的决策分析人员提供了初步数据。