首页> 外文期刊>Hemodialysis international >Do patient-reported measures of symptoms and health status predict mortality in hemodialysis? An assessment of POS-S Renal and EQ-5D
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Do patient-reported measures of symptoms and health status predict mortality in hemodialysis? An assessment of POS-S Renal and EQ-5D

机译:患者报告的症状和健康状况测量指标是否可以预测血液透析的死亡率?对POS-S肾脏和EQ-5D的评估

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Introduction Experience with the use of patient-reported outcome measures such as EQ-5D and the symptom module of the Palliative care Outcome Scale-Renal Version (POS-S Renal) as mortality prediction tools in hemodialysis is limited. Methods A prospective survival study of people receiving hemodialysis (N=362). The EQ-5D and the POS-S Renal were used to assess symptom burden and self-rated health (with a self-rated component). Participants were followed from instrument completion to death or study end. Competing risks survival analysis was used to evaluate associations with time to death, with renal transplant as a competing risk. Findings 32% (N=116) of participants died over a median (25th-75th centile) of 2.6 (1.41-3.38) years. Factors most notably associated with mortality adjusted hazard ratio (95% CI) included: lower EQ VAS score 2.7 (1.4, 5.2) P=0.004 (lowest tertile), higher POS-S Renal score 2.4 (1.3, 4.3) P=0.004 (highest tertile), and lower EQ-5D score 2.6 (1.3, 5.3) P=0.01 (lowest tertile) as well as the presence of: "problems with mobility?" 2 (1.1, 3.3) P=0.01, or "problems with usual activities?" 2.1 (1.4, 3.3), P < 0.001. After age adjustment area under the receiver operating curves (AUC) (95% CI) for mortality were: 0.71 (0.62, 0.79) for EQ-VAS score, 0.71 (0.63, 0.80) for POS-S Renal-S Renal score, and 0.76 (0.68, 0.84) for EQ-5D score. AUC 95% CI was highest for our fourth model at 0.79 (0.72, 0.86) comprised of individual elements from both instruments and established risk factors. Discussion EQ VAS scores and predictive models based on combinations of elements from the POS-S Renal and EQ-5D instruments may aid in mortality discrimination and possibly in the delivery of supportive care services.
机译:简介在血液透析中使用患者报告的结局指标(例如EQ-5D)和姑息治疗结果量表-肾脏版(POS-S肾)的症状模块作为死亡率预测工具的经验有限。方法对接受血液透析的患者进行前瞻性生存研究(N = 362)。 EQ-5D和POS-S肾被用来评估症状负担和自我评估的健康状况(带有自我评估的组成部分)。从仪器完成到死亡或研究结束,对参与者进行随访。竞争风险生存分析用于评估与死亡时间的相关性,肾移植是竞争风险。发现32%(N = 116)的参与者在2.6(1.41-3.38)年的中位数(25-75%)中死亡。与死亡率调整后的危险比(95%CI)最为显着相关的因素包括:EQ VAS评分较低2.7(1.4,5.2)P = 0.004(最低三分位数),POS-S肾脏评分较高2.4(1.3,4.3)P = 0.004(最高的三分位数),以及较低的EQ-5D得分2.6(1.3,5.3)P = 0.01(最低的三分位数)以及是否存在:“行动不便? 2(1.1,3.3)P = 0.01,还是“日常活动存在问题?” 2.1(1.4,3.3),P <0.001。在年龄调整后,接受者工作曲线(AUC)(95%CI)下的死亡率分别为:EQ-VAS得分为0.71(0.62,0.79),POS-S肾-S肾得分为0.71(0.63,0.80),以及EQ-5D得分为0.76(0.68,0.84)。我们的第四个模型的AUC 95%CI最高,为0.79(0.72,0.86),其中包括来自两种工具的单个要素以及已确定的风险因素。讨论基于POS-S肾病和EQ-5D仪器的要素组合的EQ VAS分数和预测模型可能有助于降低死亡率,并可能提供支持性护理服务。

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