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This cross-sectional observational study investigates the overall quality of life (QoL) in adults aged 65 and older receiving in-center hemodialysis. While health-related quality of life (HRQoL) is commonly used in nephrology, it may not fully reflect what matters most to older patients. Using the Amnestic Comparative Self-Assessment (ACSA) as the primary measure, this study explores key determinants of QoL and examines how it relates to existing HRQoL tools (EQ-5D-3L, EORTC QLQ-C30, QLQ-MY20). Data are collected from four hospitals in Flanders, Belgium, using psychosocial (geriatric) assessments. Statistical analysis includes regression and cluster methods to identify predictors and patient subgroups. Results aim to inform more patient-centered care and improve QoL measurement in dialysis research.
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:
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:
Descriptive Statistics: Means and standard deviations for normally distributed variables, medians and interquartile ranges for non-normal distributions. Normality assessed via Shapiro-Wilk test.
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
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.
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:
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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Older adults receiving in-center hemodialysis | Adults aged 65 years and older undergoing maintenance in-center hemodialysis at four hospitals in Flanders, Belgium. Participants completed structured assessments covering overall quality of life, health-related quality of life, clinical, functional, psychological, and sociodemographic variables. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Structured assessment interview | Other | Participants completed a structured, in-person assessment conducted during one to three dialysis sessions. The assessment included validated instruments to measure overall quality of life (ACSA), health-related quality of life (EQ-5D-3L, EORTC QLQ-C30, QLQ-MY20), and various clinical, psychological, functional, and sociodemographic factors. |
| Measure | Description | Time Frame |
|---|---|---|
| Quality of Life - Amnestic Comparative Self-Assessment (ACSA) | A self-anchoring Quality of Life scale ranging from -5 (worst time in life) to +5 (best time in life). Participants reflect on their personal best and worst life periods and rate their current QoL accordingly. | Baseline |
| Measure | Description | Time Frame |
|---|---|---|
| Age | Age (in years) | Baseline |
| Marital status | Marital status (single, married, widowed) | Baseline |
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Inclusion Criteria:
Exclusion Criteria:
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Older adults with end-stage kidney disease undergoing maintenance in-center hemodialysis
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| Name | Affiliation | Role |
|---|---|---|
| Dominique Van d Van de Velde, Doctorate | University Ghent | Principal Investigator |
| Wim Van Biesen, Doctorate, MD | University Ghent | Study Director |
| Patricia De Vriendt, Doctorate | University Ghent | Study Chair |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Ghent University Hospital | Ghent | Oost-Vlaanderen | 9000 | Belgium |
Not applicable. There is no plan to share individual participant data.
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| Type | Includes Protocol | Includes SAP | Includes ICF | Document Label | Document Date | Document Uploaded Date | Document File Name |
|---|---|---|---|---|---|---|---|
| Prot_SAP | Yes | Yes | No | Study Protocol and Statistical Analysis Plan | Jan 1, 2018 | Jul 15, 2025 | Prot_SAP_000.pdf |
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| ID | Term |
|---|---|
| D051436 | Renal Insufficiency, Chronic |
| D007676 | Kidney Failure, Chronic |
| ID | Term |
|---|---|
| D051437 | Renal Insufficiency |
| D007674 | Kidney Diseases |
| D014570 | Urologic Diseases |
| D052776 | Female Urogenital Diseases |
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|
| Living situation | Living situation (independently alone, independently with family, in a care facility) | Baseline |
| (Grand)children | (Grand)children (yes/no, number of children and grandchildren) | Baseline |
| Dialysis vintage | Dialysis vintage up to baseline measure (in months) | Baseline |
| Hospital admissions | Hospital admissions (amount in the last year) | Baseline |
| Risk of falls | St. Thomas's Risk Assessment Tool in Falling Elderly Inpatients (STRATIFY); minimum score = 0, maximum score = 5; higher score indicates a higher risk of falling | Baseline |
| Risk of dementia | Risk of dementia using Mini-Cog (full name); minimum score = 0, maximum score = 5; lower score is higher risk of dementia | Baseline |
| Nutritional risk | Nutritional risk using the Nutritional Risk Screening 2002 (NRS-2002); minimum score = 0, maximum score = 7; lower score (<3) = lower nutritional risk | Baseline |
| Experienced level of pain | Pain, measured using a VAS-scale (from 0= no pain, to 9= worst pain imaginable) | Baseline |
| Vision impairment | Potential vision impairment, measured using two questions: 1. Do you have vision problems?; 2. Do you wear glasses? | Baseline |
| Hearing impairment | Potential hearing impairment, measured using two questions: 1. Do you have hearing problems?; 2. Do you use hearing aids? | Baseline |
| Continence problems | Potential continence problems, measured using two questions: 1. Do you have problems with continence?; 2. Do you use continence material? | Baseline |
| Frailty | The Groningen Frailty Indicator (GFI), a multidimensional frailty measure; minimum score = 0, maximum score = 15; Higher score (≥4) implies (higher levels of) frailty | Baseline |
| Activity | Brussels Integrated Activity Scale (BIA), measuring basic-, instrumental-, and advanced activities of daily living; Minimum score = 0 (completely dependent in all activities), maximum score = 54 (completely independent in all activities); Higher score = better functional status / greater independence | Baseline |
| Health-Related Quality of Life: EQ-5D-3L | Health-related quality of life assessed using the EuroQol 5-Dimension 3-Level questionnaire (EQ-5D-3L); includes 5 dimensions (mobility, self-care, usual activities, pain/discomfort, anxiety/depression), rated at 3 levels (1= no problems, 2= some problems, 3= unable to/extreme problems). These can be converted into a utility score ranging from +- -0.59 to 1.00 (higher = better health). The EQ5D also includes a VAS-scale, where self-perceived health is rated from 0 (worst) to 100 (best) | Baseline |
| Health-Related Quality of Life using the EORTC QLQ-C30 | The European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire - Core 30 (EORTC QLQ-C30) measures health-related quality of life through 5 functional, 9 symptom, and 1 global health status scale; minimum score = 0, maximum score = 100 (for functional scales, higher is better; for symptom scales, lower is better) | Baseline |
| Health-Related Quality of Life: EORTC QLQ-MY20 | The European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire - Multiple Myeloma Module (EORTC QLQ-MY20) measures functioning and symptoms; minimum scores = 0; maximum scores = 100; for all scales, a higher score = worse outcomes (unlike the QLQ-C30 where functional scales mean better functioning) | Baseline |
| D005261 |
| Female Urogenital Diseases and Pregnancy Complications |
| D000091642 | Urogenital Diseases |
| D052801 | Male Urogenital Diseases |
| D002908 | Chronic Disease |
| D020969 | Disease Attributes |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |