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预测模型与接受血液透析的晚期慢性肾脏病患者健康相关生活质量相关的变量。

Predictive model of variables associated with health-related quality of life in patients with advanced chronic kidney disease receiving hemodialysis.

机构信息

Escuela de Enfermería La Fe (Valencia, España), centro adscrito Universidad de Valencia, València, Spain.

Grupo Acreditado Emergente de Investigación en Arte y Ciencia del Cuidado @GREIACC, Instituto de Investigación Sanitaria IIS La Fe (Valencia, España), València, Spain.

出版信息

Qual Life Res. 2020 Jul;29(7):1817-1827. doi: 10.1007/s11136-020-02454-0. Epub 2020 Mar 2.

DOI:10.1007/s11136-020-02454-0
PMID:32124263
Abstract

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.

摘要

目的

慢性肾脏病(CKD)影响了全球超过 10%的人口。健康相关生活质量(HRQoL)已被确定为评估慢性患者治疗效果的可靠指标,而韧性则是压力水平低和生活质量高的预测指标。本研究旨在确定 HRQoL、韧性、感知压力与晚期慢性肾脏病(ACKD)患者不同社会人口学和临床常规变量之间的关系。

方法

这是一项在西班牙巴伦西亚社区进行的多中心、横断面和相关性研究,共纳入了 155 名 ACKD 患者。研究的测量方法包括肾脏病生活质量量表 36 项(KDQOL-36)、感知压力量表 10 项(PSS10)和康纳斯-大卫森韧性量表(CD-RISC)。为了确定对 KDQOL-36 量表和分量表具有预测能力的变量,我们进行了多元回归分析。

结果

参与者的平均年龄为 67.39 岁,68.4%为男性,29%患有糖尿病,83.2%接受了动静脉血管通路植入术,Charlson 合并症指数为 6(SD=2.09)。回归模型确定,年龄和韧性解释了 KDQOL-36 总分的 26.8%的变异。至于生活质量的生理成分,其他临床疾病的合并症、韧性和糖尿病的存在解释了其 32.1%的变异。

结论

韧性被确定为 HRQoL 的最重要预测因素之一。因此,旨在提高韧性水平的干预措施的发展可能会对 CKD 患者的生活质量产生积极影响。

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