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Comparison of Epoetin Alfa and Darbepoetin Alfa Dosing and Costs in an Inpatient Population with Myelodysplastic Syndromes

2008· article· en· W2573844241 on OpenAlexaff
Marie- Hélène Lafeuille, Francis Vekeman, Robert A. Bailey, R. Scott McKenzie, Patrick Lefèbvre

Bibliographic record

VenueBlood · 2008
Typearticle
Languageen
FieldMedicine
TopicErythropoietin and Anemia Treatment
Canadian institutionsGroup for Research in Decision Analysis
Fundersnot available
KeywordsMedicineDarbepoetin alfaEpoetin alfaDosingAnemiaCumulative incidenceMyelodysplastic syndromesPopulationIncidence (geometry)ErythropoietinPediatricsEmergency medicineIntensive care medicineInternal medicineCohort

Abstract

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Abstract Background: Prevalent in the majority of patients at diagnosis, anemia associated with myelodysplastic syndromes (MDS) may increase in incidence and severity during the course of the disease. Red blood cell (RBC) transfusion support is often used to manage symptomatic anemia. Epoetin alfa (EPO) and darbepoetin alfa (DARB), two erythropoiesis-stimulating agents (ESAs), are frequently used as supportive care in the treatment of MDS-related anemia to reduce RBC transfusions. To date, limited information on dosing patterns and the associated costs of these agents for MDS patients in the hospital inpatient setting is available. This study examined cumulative ESA dosing and costs in MDS patients treated with ESAs in acute care hospitals. Methods: An analysis of electronic inpatient records from the Premier Perspective Comparative Hospital Database was conducted. The Premier database encompasses detailed inpatient services from patients admitted to more than 500 hospitals nationwide. A retrospective parallel-group design was used to compare two cohorts of MDS patients treated with EPO or DARB during their hospitalization. Study subjects were identified through hospitalization records between 4Q2006 and 1Q2008. Patients were ≥18 years of age, had an admitting diagnosis of MDS (ICD-9 codes: 238.72–238.75), and were treated with EPO or DARB during their hospital stay. Patients were excluded if they had cancer, received renal dialysis, or were treated with both ESAs. To minimize effect of outliers, 2% of patients, based on the upper and lower 1% patients with extreme doses in each group were excluded from the dosing analysis. Mean cumulative dose and July 2008 wholesale acquisition costs (EPO: $13.13/1,000 Units, DARB: $4.722/mcg) were used to calculate ESA costs. Results: A total of 3,312 inpatient stays were identified with a primary or secondary diagnosis of MDS (EPO: 2,719, DARB: 593). Mean age and gender distribution were comparable between groups (age: EPO 77.5 years, DARB 78.0 years; % women: EPO 49.4%, DARB 49.2%, p>.05 for both). Mean hospitalization length of stay was also similar for both groups (EPO: 8.8 days; DARB: 8.9 days; p>.05). The two groups were also comparable in terms of medical history at baseline, including hypertension, diabetes mellitus, cardiovascular disease, congestive heart failure, febrile neutropenia, chronic kidney disease, and sepsis. The mean cumulative dose per inpatient stay was 59,379 ± 66,002 Units for EPO and 230 ± 239 mcg for DARB, corresponding to a dose ratio of 258:1 (Units EPO: mcg DARB). Mean cumulative dose of EPO and DARB remained relatively stable over the period from 4Q2006 to 1Q2008. ESA treatment cost per inpatient stay was significantly lower in the EPO group, compared with DARB (EPO $780 vs. DARB $1,085; P<.0001). Sensitivity analysis including the 2% of outliers in each group corroborated the study findings. Conclusions: The current study, based on recent real-life clinical practice data from an inpatient setting, observed a dose ratio of 258:1 (Units EPO: mcg DARB) in patients with MDS. Based on the cumulative dose administered during hospitalization, EPO was associated with a cost savings of 28% compared to DARB. These results are similar to those observed in MDS patients in the outpatient setting and consistent with reported findings in the chronic kidney disease and oncology populations both in outpatient and inpatient settings.

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How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.028
GPT teacher head0.300
Teacher spread0.272 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations1
Published2008
Admission routes1
Has abstractyes

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