Perihospitalization hemoglobin‐epoetin associations in U.S. hemodialysis patients, 1998 to 2003
Bibliographic record
Abstract
While hospitalization is common for hemodialysis patients, perihospitalization associations between hemoglobin levels and epoetin doses are not well characterized. U.S. Medicare claims were used to identify 71,360 hemodialysis patients hospitalized from 1998 to 2003. Hemoglobin levels, epoetin doses, and epoetin responsiveness index (ERI) were compared by calendar year. In the prehospitalization month, the mean hemoglobin levels increased from 10.96 g/dL in 1998 to 11.76 in 2003 and the mean epoetin doses from 63,715 to 75,012 U; corresponding values in the hospitalization month were 10.53 and 11.19 g/dL, and 66,623 and 80,569 U. In each year, prehospitalization hemoglobin levels were achieved within 2 months, but ERI declined to prehospitalization levels within 12 months only in 2000. With mixed models, hemoglobin declines in the 3 prehospitalization months grew between 1998 (-0.1362 g/dL/month) and 2003 (-0.2003 g/dL/month). Epoetin responsiveness index slopes were J-shaped, with values of 287.9, 221.1, and 356.5U/month per g/dL in 1998, 2000, and 2003. In the 3 postadmission months, a modest increase in the rapidity of hemoglobin recovery was seen (+0.2538 g/dL/month in 1998, +0.2743 in 2003), with increasing rates of ERI change (+8.7 U/month/g/dL in 1998, +146.8 in 2003). While time to recovery of prehospitalization hemoglobin levels remained constant year to year, epoetin doses and ERI did not, suggesting that optimum perihospitalization anemia management practices have yet to be determined.
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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) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| 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) | 0.001 | 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".