#1137 Association between cognitive function, depressive symptoms and quality of life in older patients with severely reduced GFR and kidney failure
Bibliographic record
Abstract
Abstract Background and Aims Impaired cognitive function and reduced health-related quality of life (HRQoL) are common in older patients with chronic kidney disease (CKD) with severely reduced GFR and kidney failure. Older patients with CKD often regard HRQoL as a health priority, but it is unknown whether cognitive function associates with HRQoL and whether depressive symptoms mediate this association. We therefore aim to examine the association between cognitive function and HRQoL, and explore the mediating role of depressive symptoms. Method Patients aged 65 years and older with an eGFR between 20 and 10 mL/min/1.73 m2 participating in the ongoing DIALysis or not: Outcomes in older kidney patients with GerIatriC Assessment (DIALOGICA) study were included. Cognitive function, depressive symptoms and HRQoL were assessed using the Montreal Cognitive Assessment (MoCA), Geriatric Depression Scale (GDS-15) and Twelve-Item Short Form Health Survey (SF-12) questionnaire, respectively. The SF-12 yields a Mental Component Summary (MCS) score and Physical Component Summary score (PCS). We created a diagram of the hypothesized direct and indirect pathways between cognition and HRQoL, with depressive symptoms as the purported mediator (Fig. 1). We used cross-sectional multivariable linear regression analyses to examine the association between cognitive function and both mental and physical HRQoL, and multivariable mediation analyses to explore the role of depressive symptoms. Results In total, 403 patients were included with a mean age of 76.5 years, with a standard deviation (SD) of 5.8 and a mean eGFR of 14.5 mL/min/1.73 m2 (SD 3.0). A majority of patients were male (71.5%). Cognitive function associated significantly with mental HRQoL (adjusted β 0.30, 95% confidence interval (CI) 0.05; 0.55, p 0.021), but not with physical HRQoL (adjusted β 0.18, 95% CI −0.09; 0.44, p 0.20). The mediation effect of depressive symptoms between cognitive function and MCS remained significant after adjustment (indirect effect 0.15, 95% CI 0.04; 0.26). Thus, lower cognitive function was associated with lower mental HRQoL, which was partly mediated by corresponding increases in depressive symptoms. Conclusion Cognitive function is associated with mental HRQoL, but not with physical HRQoL in older patients with severely reduced GFR and kidney failure. This association is partially mediated by depressive symptoms. These findings underline the importance of screening for cognitive impairment and depressive symptoms in this population and may increase the understanding of what potentially affects HRQoL. As HRQoL is seen as a health priority, further research should explore whether cognitive interventions or treatment of depressive symptoms result in improvement of HRQoL in this population.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".