Erythropoietin Therapy, Hemoglobin Targets, and Quality of Life in Healthy Hemodialysis Patients
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: The effects of different hemoglobin targets when using erythropoiesis-stimulating agents on quality of life are somewhat controversial, and predictors of change in quality of life in endstage renal disease have not been well characterized. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: Five hundred ninety-six incident hemodialysis patients without symptomatic cardiac disease were randomly assigned to hemoglobin targets of 9.5 to 11.5 g/dl or 13.5 to 14.5 g/dl for 96 weeks, using epoetin_alfa as primary therapy. Patients and attending physicians were masked to treatment assignment. Quality of life, a secondary outcome, was prospectively recorded using the Kidney Disease Quality of Life (KDQoL) questionnaire at weeks 0, 24, 36, 48, 60, 72, 84, and 96, with prespecified outcomes being fatigue and quality of social interaction. RESULTS: The mean age and prior duration of dialysis therapy of the study population were 50.8 and 0.8 yr. Mortality was low, reflecting the relatively healthy group enrolled. Of 20 domains within the KDQoL only the prespecified domain of fatigue showed significant change over time between the two groups. Improvement in fatigue scores in the high-target group ranged from 3.2 to 7.9 over time (P = 0.007) compared with change in the low-target group. Higher body mass index and lower erythropoietin dose at baseline were independent predictors of improvement in multiple KDQoL domains. CONCLUSIONS: In relatively healthy hemodialysis patients, normal hemoglobin targets may have beneficial effects on fatigue. Improvement in multiple domains of quality of life is associated with higher body mass index and lower erythropoietin requirements.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".