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Record W4206083502 · doi:10.1080/13696998.2022.2027706

Quantifying the economic effects of ravulizumab versus eculizumab treatment in patients with atypical hemolytic uremic syndrome

2022· article· en· W4206083502 on OpenAlexaff

Bibliographic record

VenueJournal of Medical Economics · 2022
Typearticle
Languageen
FieldImmunology and Microbiology
TopicComplement system in diseases
Canadian institutionsVancouver Coastal HealthDalhousie University
Fundersnot available
KeywordsEculizumabAtypical hemolytic uremic syndromeProductivityAdverse effectHemoglobinuria

Abstract

fetched live from OpenAlex

AIMS: This study compared the aggregate duration of treatment administration of approved eculizumab and ravulizumab treatment regimens and resultant productivity implications for patients with atypical hemolytic uremic syndrome (aHUS) and their caregivers. METHODS: The aggregate duration of treatment administration (which includes waiting time for medication preparation and time for infusion, recovery, and travel to and from the clinic) was determined for a hypothetical population of patients with aHUS treated with eculizumab (10 mg/mL) or ravulizumab (10 or 100 mg/mL), in the clinic or at home, for 1 year, in Germany, Italy, the UK, and the US. The data for US patients treated in the clinic was used to extend a previously published cost-minimization model (CMM) to estimate the annual lost productivity associated with treatment administration and to compare the overall annual treatment costs for hypothetical adult and pediatric patients in the US. RESULTS: The aggregate duration of treatment administration associated with ravulizumab 10 mg/mL and 100 mg/mL was reduced by 44-52% and 69-74%, respectively, compared with eculizumab 10 mg/mL, across all four countries. Using the CMM, the adult and pediatric US patient lost productivity costs due to treatment were reduced by 56-60% and 73-76% with ravulizumab 10 mg/mL and 100 mg/mL, respectively, compared with eculizumab 10 mg/mL, and overall discounted annual treatment costs (direct and lost productivity costs owing to treatment) were reduced for ravulizumab (10 mg/mL and 100 mg/mL) vs eculizumab 10 mg/mL for adult and pediatric patients. LIMITATIONS: This study was based on hypothetical patients, and assumptions were made regarding caregiver involvement, patient characteristics, and treatment patterns. CONCLUSIONS: Compared with eculizumab, ravulizumab reduces the lost productivity costs associated with treatment. This reduction in costs is greater with the ravulizumab 100 mg/mL formulation, compared with ravulizumab 10 mg/mL, owing to shorter infusion times with this more concentrated formulation.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.105
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.016
GPT teacher head0.252
Teacher spread0.236 · 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 teacher head, not a consensus.

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".

Quick stats

Citations20
Published2022
Admission routes1
Has abstractyes

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