Regimen-intensity per count-recovery and hospitalization index: A new tool to assign regimen intensity for AML.


Journal

Cancer medicine
ISSN: 2045-7634
Titre abrégé: Cancer Med
Pays: United States
ID NLM: 101595310

Informations de publication

Date de publication:
09 2020
Historique:
received: 03 04 2020
revised: 01 06 2020
accepted: 28 06 2020
pubmed: 25 7 2020
medline: 21 7 2021
entrez: 25 7 2020
Statut: ppublish

Résumé

Low-intensity regimens have been increasingly used to treat older patients with acute myeloid leukemia (AML). Recent studies, however, suggest older patients can tolerate and potentially benefit from intensive chemotherapeutic regimens. The ability to compare the utility of varying regimen intensities in AML is hindered by the lack of a standardized definition of "regimen intensity." We conducted a survey asking AML physicians which of 38 regimens they would consider intensive vs less-intensive. Electronic medical records of 592 patients receiving many of these regimens were used to design a model characterizing regimens as intensive vs less-intensive as identified by ≥75% physician consensus. Variables included frequency and length of hospitalizations, intensive care unit admissions, severe gastrointestinal toxicities, time to nadir, and recovery of neutrophil/platelet count. Physicians agreed at a rate of 75%-100% on the assignment of degree of intensity to the majority (n = 28) of these regimens, while the level of agreement was <75% for the remaining 10 regimens (26%). Logistic regression analyses identified number and length of hospitalizations to be significantly associated with intensive regimens and count recovery with less-intensive regimens. We created the "regimen-intensity per count-recovery and hospitalization" (RICH) index with an AUC of 0.87. Independent model validation yielded an AUC of 0.75. We were able to generate a novel model that defines regimen intensity for many therapies used to treat AML. Results facilitate a future randomized study comparing intensive vs less-intensive regimens.

Sections du résumé

BACKGROUND
Low-intensity regimens have been increasingly used to treat older patients with acute myeloid leukemia (AML). Recent studies, however, suggest older patients can tolerate and potentially benefit from intensive chemotherapeutic regimens. The ability to compare the utility of varying regimen intensities in AML is hindered by the lack of a standardized definition of "regimen intensity."
METHODS
We conducted a survey asking AML physicians which of 38 regimens they would consider intensive vs less-intensive. Electronic medical records of 592 patients receiving many of these regimens were used to design a model characterizing regimens as intensive vs less-intensive as identified by ≥75% physician consensus. Variables included frequency and length of hospitalizations, intensive care unit admissions, severe gastrointestinal toxicities, time to nadir, and recovery of neutrophil/platelet count.
RESULTS
Physicians agreed at a rate of 75%-100% on the assignment of degree of intensity to the majority (n = 28) of these regimens, while the level of agreement was <75% for the remaining 10 regimens (26%). Logistic regression analyses identified number and length of hospitalizations to be significantly associated with intensive regimens and count recovery with less-intensive regimens. We created the "regimen-intensity per count-recovery and hospitalization" (RICH) index with an AUC of 0.87. Independent model validation yielded an AUC of 0.75.
CONCLUSIONS
We were able to generate a novel model that defines regimen intensity for many therapies used to treat AML. Results facilitate a future randomized study comparing intensive vs less-intensive regimens.

Identifiants

pubmed: 32706528
doi: 10.1002/cam4.3311
pmc: PMC7520345
doi:

Types de publication

Comparative Study Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

6515-6523

Informations de copyright

© 2020 The Authors. Cancer Medicine published by John Wiley & Sons Ltd.

Références

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Auteurs

Mohamed L Sorror (ML)

Divisions of Clinical Research, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Department of Medicine, University of Washington School of Medicine, Seattle, WA, USA.

Shirali Agarwal (S)

Divisions of Clinical Research, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.

Megan Othus (M)

Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Department of Biostatistics, University of Washington School of Medicine, Seattle, WA, USA.

Ylinne Lynch (Y)

Divisions of Clinical Research, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Department of Medicine, University of Washington School of Medicine, Seattle, WA, USA.

Jennifer E Nyland (JE)

Divisions of Clinical Research, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.

Mary-Elizabeth Percival (ME)

Divisions of Clinical Research, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Department of Medicine, University of Washington School of Medicine, Seattle, WA, USA.

Pamela S Becker (PS)

Divisions of Clinical Research, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Department of Medicine, University of Washington School of Medicine, Seattle, WA, USA.

Frederick R Appelbaum (FR)

Divisions of Clinical Research, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Department of Medicine, University of Washington School of Medicine, Seattle, WA, USA.

Elihu H Estey (EH)

Divisions of Clinical Research, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Department of Medicine, University of Washington School of Medicine, Seattle, WA, USA.

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Classifications MeSH