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Record W2901763385 · doi:10.1182/blood-2018-99-110871

Treatment Patterns and Healthcare Resource Utilization (HRU) in Patients with Relapsed/Refractory (R/R) FLT3-Mutated (FLT3mut) and FLT3-Wild Type (FLT3wt) Acute Myeloid Leukemia (AML): A Multi-Country Medical Chart Study

2018· article· en· W2901763385 on OpenAlexaboutno aff
James D. Griffin, Manasee V. Shah, Yan Song, Hongbo Yang

Bibliographic record

VenueBlood · 2018
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCEBPAInternal medicineClofarabineChemotherapy regimenHematopoietic stem cell transplantationTransplantationOncologyNPM1Myeloid leukemiaPediatricsCytarabineChemotherapyMutationBiology

Abstract

fetched live from OpenAlex

Abstract Background: Salvage therapy for patients with R/R AML has long relied on chemotherapy as a bridge to hematopoietic stem cell transplantation (HSCT). With the advent of treatments targeted to biomarkers, such as fms-like tyrosine kinase 3 (FLT3), there is a need to understand current treatment patterns and HRU. This multi-country study utilized real-world evidence (RWE) collected from medical charts to evaluate treatment patterns and HRU among patients with R/R AML by FLT3 mutation status. Methods: Hematologists/oncologists were recruited from 10 countries (US, Canada, UK, France, Germany, Italy, Spain, Netherlands, Japan, and South Korea). Patients with AML who were classified as relapsed or refractory to initial treatment between January 1, 2013 and December 31, 2015 were eligible for inclusion. Eligible patients with R/R AML were randomly selected by physicians and were categorized into one of two cohorts: FLT3mut or FLT3wt patients. Stratified recruitment was used to ensure that an equal ratio of FLT3mut and FLT3wt patients were enrolled. The index dates were defined as the dates of R/R classification and data collection until the date of last follow-up or death. Results: The study included both FLT3mut (n=181) and FLT3wt (n=182) patients. Of the FLT3mut patients, 53.6% (n=97) had only an internal tandem duplication (ITD) mutation, 15.5% (n=28) had both ITD and tyrosine kinase domain (TKD) mutations, and 30.9% (n=56) only had a TKD mutation. Other mutations (eg, NPM1, IDH1/2, CEBPA, KIT, AXL) were seen in both cohorts; all other mutations were more common in FLT3mut patients. Compared with FLT3wt patients, FLT3mut patients were significantly younger at the event date (53.2 ± 15.2 vs 56.8 ± 14.6, P<.05) and more had an Eastern Cooperative Oncology Group score ≥2 (36.9% vs 33.0%; P<.01). FLT3mut patients were also more likely to have dysplasia-related AML (22.8% vs 12.6%; P<.01) and genetic abnormalities (38.9% vs 16.1%; P<.01) than FLT3wt patients. Despite treatment guidelines, which recommend specific chemotherapy-based regimens according to patient age and health status, nearly one-third of patients with R/R AML received only best supportive care (BSC) after being classified as R/R AML; more FLT3mut patients received BSC (39.8%) than FLT3wt patients (24.7%). While few patients received a FLT3 inhibitor (eg, midostaurin), this is most likely due to limited availability outside of a clinical trial. Overall, 20.8% of patients with R/R AML received some type of transplant; the rate of HSCT was similar between cohorts. Patients with R/R AML were high utilizers of healthcare resources. In the post-event period, patients averaged 0.52 hospital visits per month with a mean length of stay (LOS) of 16.6 days/visit and a mean LOS of 6.8 days/month; there was no significant difference between FLT3mut and FLT3wt cohorts. The mean number of pre-event intensive care unit (ICU) visits was 0.03 ± 0.15 with a mean LOS/visit of 10.8 ± 9.6. In the post-event period, the mean number of ICU visits was 0.16 ± 1.3 with a mean LOS of 7.5 ± 6.5 days/visit. In total, 30.1% of all patients with R/R AML had hospice care in the post-event period; the mean number of days in hospice was 4.1 ± 8.7 days (4.5 ± 9.7 days [FLT3mut] vs 3.8 ± 7.7 [FLT3wt]). In some instances in the pre-event period, patients with FLT3mut were higher users of healthcare resources. Compared with FLT3wt, patients with FLT3mut had a longer hospital LOS/visit (29.6 days vs 21.8 days; P<.05) and had significantly higher utilization of all types of outpatient visits, including: total outpatient, hematologist, nurse, and general practitioner (all P<.001). Conclusions: Utilizing RWE, these data reveal that patients with FLT3mut AML are diagnosed at an earlier age and utilize more healthcare resources than patients with FLT3wt AML. Further, for patients with R/R AML, regardless of mutation status and despite the availability of effective therapies, the most common treatment was BSC - a divergence from accepted treatment guidelines. Additionally, the breadth of treatments being used suggests that there is no real standard of care for patients with R/R AML. The availability of targeted agents (ie, FLT3 inhibitors) may provide treatment options for patients. Disclosures Griffin: Novartis Pharma: Other: Grant, Patents & Royalties: Royalties ; Sun Pharmaceuticals: Consultancy; Lilly Pharmaceuticals: Other: Grant; Myeloproliferative Neoplasia Foundation: Other: Grant ; Analysis Group: Consultancy; RXi Pharmaceuticals: Consultancy; Astellas Pharma: Consultancy. Shah:Astellas Pharma: Employment. Song:Astellas Pharma: Consultancy. Yang:Astellas Pharma: Consultancy.

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 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 score0.013
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.003
Science and technology studies0.0010.000
Scholarly communication0.0010.001
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 head0.022
GPT teacher head0.303
Teacher spread0.281 · 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
Published2018
Admission routes1
Has abstractyes

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