Exploration de la qualité de vie des patients en hémodialyse chronique : analyse de l’impact cumulatif des crises
Bibliographic record
Abstract
Introduction: Hemodialysis patients have poorer health-related quality of life (HRQOL) compared to the general population. HRQOL is influenced by many sociodemographic and clinical factors. The aim of our study is to describe the HRQOL among adult patients undergoing hemodialysis during a period of economic and health crisis. Methods: This is a cross-sectional study including patients who had been on hemodialysis for at least 3 months. We interviewed a total of 90 hemodialysis patients using the 36-Item Short Form Health Survey (SF36). The SF-36 measures eight scales and two distinct concepts: the Physical Component Summary (PCS) and the Mental Component Summary (MCS). Data analyses was performed with RStudio version 2022.12.0. Results: The mean age (±SD) was 69.67±12.80 years. The mean PCS score (±SD) was 48.55±24.7 and the mean MCS score (±SD) was 58.62±22.1. The highest scores among the SF-36 were emotional well-being (66.65±20.02) and social functioning (66.53±27.40). Multivariate analysis showed that PTH levels and occupational status are significantly associated with PCS scores (p=0.007 and p=0.03 respectively), and that age at onset of dialysis, PTH levels, occupational status, marital status, and COVID-19 infection are significantly associated with MCS scores (p=0.04, p<0.001, p=0.003, p=0.006 and p=0.007 respectively). Conclusion: The overall PCS and MCS scores were low, indicating poor HRQOL. However, the crises did not appear to directly worsen it, due to a strong social support system. A multidisciplinary team approach may improve the HRQOL of these patients.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".