Exploring Predictors of Quality of Life in Older Adults With End-Stage Kidney Disease Receiving In-Center Hemodialysis

The global prevalence of end-stage kidney disease (ESKD) is steadily rising, with older adults representing the fastest-growing demographic in this patient population. In Europe, individuals aged 65 and older now account for over 52% of all incident ESKD cases. The primary treatment modality, in-center hemodialysis (ICHD), although life-sustaining, imposes a considerable treatment burden. This burden, when combined with the inherent symptom load of advanced kidney disease, often leads to a significant reduction in patients' overall well-being.

Compared to their younger counterparts, older adults on dialysis experience more complex clinical trajectories, characterized by multi-morbidity, increased frailty, and psychosocial vulnerability. Moreover, this population often faces challenges in adhering to the demanding schedules and lifestyle restrictions associated with dialysis. These factors collectively contribute to a reduction in overall quality of life (QoL), which patients often prioritize even over life expectancy.

Numerous studies have demonstrated that many older dialysis patients are willing to trade significant lengths of life expectancy, up to nine years in some cases, in exchange for better QoL. Despite this, QoL remains a vastly underutilized metric in nephrology clinical research. Only a small fraction of randomized controlled trials include QoL as an outcome measure, and even fewer consider it as a primary endpoint.

Health-Related Quality of Life (HRQoL), a narrower construct within the broader domain of QoL, is often used as a proxy for evaluating the well-being of patients. However, HRQoL tools may not fully capture what matters most to patients, especially during major life transitions such as dialysis initiation. Furthermore, differences in HRQoL instruments can produce inconsistent evaluations of patient outcomes and influence the estimation of quality-adjusted life years (QALYs), potentially skewing health policy decisions.

In light of these concerns, there is a need to examine overall QoL among older adults receiving dialysis, moving beyond standard HRQoL assessments to capture a more holistic and patient-centered understanding of life quality in this vulnerable population.

This study aims to:

• Identify the key determinants of overall QoL in older adults undergoing ICHD.
• Examine how overall QoL relates to existing HRQoL measures.
• Evaluate whether existing HRQoL instruments adequately capture domains that are meaningful to this population.
• Explore natural groupings (clusters) of patients based on QoL and associated variables to inform future patient-centered interventions.

Study Design This is a cross-sectional, observational study reported in accordance with the Strengthening The Reporting of Observational Studies in Epidemiology (STROBE) guidelines. The study involves quantitative data collection through a structured assessment set administered face-to-face during dialysis sessions.

Participants are recruited from four hospitals in the Flanders region of Belgium between January and April 2018. Hospitals are selected to ensure a representative sample across urban, rural, academic, and regional settings.

Eligibility criteria include:

Age ≥65 years Receiving ICHD Able to provide informed consent Sufficient cognitive and language capacity to complete the questionnaire in Dutch

Exclusion criteria include:

Receiving dialysis due to an acute hospital admission Diagnosed with severe psychiatric or cognitive disorders (e.g., dementia) as documented in the medical record

Data Collection and Outcome Measures A total of 95 variables are assessed across multiple domains, guided by the International Classification of Functioning, Disability and Health (ICF) framework. Assessments are conducted during one to three consecutive dialysis sessions, depending on each participant's physical and cognitive condition. Each session lasts approximately 45 minutes.

An independent researcher with no clinical ties to the patient or dialysis unit conducts all interviews to reduce bias and minimize socially desirable responses.

Primary Outcome Measure Amnestic Comparative Self-Assessment (ACSA): A self-anchoring QoL rating scale ranging from -5 (worst period of life) to +5 (best period), based on the individual's life experiences. Participants reflect on the most positive and negative periods of their life and rate their current quality of life relative to these anchors. This tool allows for a highly individualized and sensitive measure of overall QoL.

Secondary Measures (Independent Variables) Sociodemographic Variables: Age, sex, education level, marital status, living situation Dialysis-Related Variables: Duration of dialysis, comorbidity index, dialysis adequacy Comprehensive Geriatric Assessment (CGA): Functional, psychological, and social domains including Fall Risk: STRATIFY scale, Psychological Measures: Geriatric Depression Scale (GDS-4), Nutritional Status: Nutritional Risk Screening (NRS-2002) Frailty Assessment: Groningen Frailty Indicator (GFI) Functional Status: Brussels Integrated Activity Scale (BIA) - measuring basic, instrumental, and advanced ADLs

HRQoL Instruments:

EuroQol 5-Dimension 3-Level Questionnaire (EQ-5D-3L) European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire-Core 30 (EORTC QLQ-C30) EORTC QLQ-Myeloma Module (QLQ-MY20)

Statistical Analysis

All data are analyzed using SPSS (version 29.0.2.0). Missing values are handled using listwise deletion per questionnaire. The analysis is carried out in four stages:

1. Descriptive Statistics: Means and standard deviations for normally distributed variables, medians and interquartile ranges for non-normal distributions. Normality assessed via Shapiro-Wilk test.
2. Univariate Analyses: Mann-Whitney U test for dichotomous variables Kruskal-Wallis test for categorical variables with more than two groups Spearman's correlation for continuous and ordinal variables
3. Multivariate Regression: Variables significantly associated with ACSA scores in univariate analysis are entered into a stepwise linear regression model to identify independent predictors of QoL.
4. Cluster Analysis: Hierarchical clustering (Ward's method) is used to determine optimal grouping, followed by K-means clustering to explore patterns of QoL across patient subgroups.

Ethical Considerations This study was reviewed and approved by the Ethical Committee of Ghent University Hospital (B670201837264). All participants are fully informed of the study's purpose and procedures and provided both written and verbal informed consent. The study complies with the Declaration of Helsinki on ethical principles for medical research involving human subjects.

Significance and Expected Outcomes

This study offers an exploration of overall QoL in older adults receiving hemodialysis. By using the ACSA alongside commonly used HRQoL instruments and a wide range of biopsychosocial variables, the findings will help:

1. Clarify which factors most strongly influence QoL in this population
2. Reveal potential mismatches between standardized HRQoL measures and patients' lived experiences
3. Inform future intervention design focused on improving well-being, not just clinical outcomes
4. Provide empirical evidence to guide the choice of QoL instruments in research and policy evaluation, including cost-effectiveness studies

Ultimately, the study is expected to contribute to more patient-centered care models and improve the integration of QoL measures into nephrology research and clinical practice.