Health‐related qualıty of lıfe, sleep qualıty, and depressıon in peritoneal dialysis and hemodıalysıs patıents
Bibliographic record
Abstract
Health-related quality of life (HRQoL) and sleep quality (SQ) were impaired in patients with end-stage renal disease (ESRD). The impairment of both HRQoL and SQ and being in a depressive mood were found to be associated with increased morbidity and mortality in dialysis patients. We aimed to investigate the association between SQ, HRQoL, and depression, and to define independent predictors of SQ and depression in peritoneal dialysis (PD) and hemodialysis (HD) patients. Ninety HD patients (41 females, 49 males with mean age 50 ± 15.7 years) and 64 PD patients (27 females, 37 males with mean age 52.4 ± 15.3 years) receiving renal replacement therapy for at least 3 months were screened for the assessment of SQ, HRQoL, and depression in this cross-sectional study. A modified postsleep inventory, Short Form of Medical Outcomes Study (SF-36) and Beck depression inventory (BDI) were applied to all patients for evaluating SQ, HRQoL, and depression, respectively. HD and PD patients had similar total SQ scores. Physical and mental component scale of HRQoL were found to be significantly higher in HD patients (p < 0.001). PD patients were found to be much more in depressive mood when compared with HD patients (p < 0.001). Independent predictors of depression in patients were mental component scale of HRQoL, gender (being female), and dialysis modality (being PD patient). Physical component scale was also found to be an independent predictor of SQ. This study showed that despite similar SQ scores between two groups, HD patients had better HRQoL and less depression than PD patients.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".