当前位置: X-MOL 学术Qual. Life Res. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Predictive model of variables associated with health-related quality of life in patients with advanced chronic kidney disease receiving hemodialysis.
Quality of Life Research ( IF 3.3 ) Pub Date : 2020-03-02 , DOI: 10.1007/s11136-020-02454-0
P García-Martínez 1, 2 , M D Temprado-Albalat 3 , R Ballester-Arnal 4 , K Gandhi-Morar 4 , J Castro-Calvo 5 , E Collado-Boira 4
Affiliation  

Purpose

Chronic kidney disease (CKD) affects over 10% of the global population. Health-related quality of life (HRQoL) has been identified as a reliable indicator for assessing the effectiveness of treatment in chronic patients, and resilience as a predictor of low levels of stress and higher QoL. The aim of this research is to identify the relationship between HRQoL, resilience, perceived stress, and the different sociodemographic and clinical routine variables of advanced chronic kidney disease (ACKD).

Methods

Multicenter, cross-sectional, and correlational study with 155 ACKD patients in the Valencian Community (Spain). The measures for the study included the Kidney Disease Quality of Life 36 (KDQOL-36), the Perceived Stress Scale 10 (PSS10), and the Connors–Davidson Resilience Scale (CD-RISC). To identify the variables with predictive power over the scales and subscales of the KDQOL-36, multiple regression analyses were performed.

Results

Average participants’ age was 67.39, 68.4% were male, 29% diabetic, and 83.2% had undergone arteriovenous vascular access placement with a Charlson Comorbidity Index of 6 (SD = 2.09). The regression models identified that age and resilience explained up to 26.8% of the variance of the KDQOL-36 total score. As for the physical component of QoL, comorbidity with other clinical conditions, resilience, and the presence of diabetes explained 32.1% of its variance.

Conclusions

Resilience was identified as one of the most important predictors of HRQoL. Thus, the development of interventions aiming to improve the level of resilience may have a positive impact over the quality of life of patients with CKD.



中文翻译:

与接受血液透析的晚期慢性肾脏病患者健康相关的生活质量相关的变量预测模型。

目的

慢性肾脏病(CKD)影响全球超过10%的人口。与健康相关的生活质量(HRQoL)已被确定为评估慢性患者治疗效果的可靠指标,而韧性是低压力和较高QoL的预测指标。这项研究的目的是确定HRQoL,适应力,感知的压力以及晚期慢性肾脏病(ACKD)的不同社会人口统计学和临床​​常规变量之间的关系。

方法

对巴伦西亚自治区(西班牙)的155名ACKD患者进行多中心,横断面和相关性研究。该研究的措施包括肾脏疾病生活质量36(KDQOL-36),感知压力量表10(PSS10)和康纳斯-戴维森抗逆力量表(CD-RISC)。为了确定对KDQOL-36的规模和子规模具有预测能力的变量,进行了多次回归分析。

结果

参与者的平均年龄为67.39,其中男性为68.4%,糖尿病为29%,接受动静脉血管通路放置的患者的Charlson合并症指数为6(SD = 2.09)。回归模型确定,年龄和适应力最多可以解释KDQOL-36总得分差异的26.8%。至于QoL的物理成分,与其他临床疾病的合并症,适应力和糖尿病的存在解释了其变化的32.1%。

结论

韧性被确定为HRQoL的最重要预测指标之一。因此,旨在提高适应力水平的干预措施的开发可能会对CKD患者的生活质量产生积极影响。

更新日期:2020-03-02
down
wechat
bug