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Big data analysis of treatment patterns and outcomes among elderly acute myeloid leukemia patients in the United States
Over half of patients diagnosed with acute myeloid leukemia (AML) are 65 years or older. We examined patient characteristics, treatment patterns, and survival among elderly patients in routine clinical practice. We utilized a retrospective cohort analysis of first primary AML patients in the linked...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4432101/ https://www.ncbi.nlm.nih.gov/pubmed/25791241 http://dx.doi.org/10.1007/s00277-015-2351-x |
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author | Medeiros, Bruno C. Satram-Hoang, Sacha Hurst, Deborah Hoang, Khang Q. Momin, Faiyaz Reyes, Carolina |
author_facet | Medeiros, Bruno C. Satram-Hoang, Sacha Hurst, Deborah Hoang, Khang Q. Momin, Faiyaz Reyes, Carolina |
author_sort | Medeiros, Bruno C. |
collection | PubMed |
description | Over half of patients diagnosed with acute myeloid leukemia (AML) are 65 years or older. We examined patient characteristics, treatment patterns, and survival among elderly patients in routine clinical practice. We utilized a retrospective cohort analysis of first primary AML patients in the linked Surveillance, Epidemiology, and End Results (SEER)-Medicare database. Patients were diagnosed between January 1, 2000 and December 31, 2009, >66 years, and continuously enrolled in Medicare Part A and B in the year prior to diagnosis. Kaplan-Meier curves and Cox proportional hazards regression assessed overall survival by treatment. There were 3327 (40 %) patients who received chemotherapy within 3 months of diagnosis. Treated patients were more likely younger, male, and married, and less likely to have secondary AML and poor performance indicators and comorbidity score compared to untreated patients. In multivariate survival analysis, treated patients exhibited a significant 33 % lower risk of death compared to untreated patients. Significant survival benefits were noted with receipt of intensive and hypomethylating agent (HMA) therapies compared to no therapy. A survival benefit with allogeneic hematopoietic stem cell transplantation was seen in younger Medicare patients. This real-world study showed that about 60 % of elderly AML patients remain untreated following diagnosis. Use of anti-leukemic therapy was associated with a significant survival benefit in this elderly cohort. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00277-015-2351-x) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4432101 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-44321012015-05-19 Big data analysis of treatment patterns and outcomes among elderly acute myeloid leukemia patients in the United States Medeiros, Bruno C. Satram-Hoang, Sacha Hurst, Deborah Hoang, Khang Q. Momin, Faiyaz Reyes, Carolina Ann Hematol Original Article Over half of patients diagnosed with acute myeloid leukemia (AML) are 65 years or older. We examined patient characteristics, treatment patterns, and survival among elderly patients in routine clinical practice. We utilized a retrospective cohort analysis of first primary AML patients in the linked Surveillance, Epidemiology, and End Results (SEER)-Medicare database. Patients were diagnosed between January 1, 2000 and December 31, 2009, >66 years, and continuously enrolled in Medicare Part A and B in the year prior to diagnosis. Kaplan-Meier curves and Cox proportional hazards regression assessed overall survival by treatment. There were 3327 (40 %) patients who received chemotherapy within 3 months of diagnosis. Treated patients were more likely younger, male, and married, and less likely to have secondary AML and poor performance indicators and comorbidity score compared to untreated patients. In multivariate survival analysis, treated patients exhibited a significant 33 % lower risk of death compared to untreated patients. Significant survival benefits were noted with receipt of intensive and hypomethylating agent (HMA) therapies compared to no therapy. A survival benefit with allogeneic hematopoietic stem cell transplantation was seen in younger Medicare patients. This real-world study showed that about 60 % of elderly AML patients remain untreated following diagnosis. Use of anti-leukemic therapy was associated with a significant survival benefit in this elderly cohort. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00277-015-2351-x) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2015-03-20 2015 /pmc/articles/PMC4432101/ /pubmed/25791241 http://dx.doi.org/10.1007/s00277-015-2351-x Text en © The Author(s) 2015 https://creativecommons.org/licenses/by/4.0/ Open Access This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited. |
spellingShingle | Original Article Medeiros, Bruno C. Satram-Hoang, Sacha Hurst, Deborah Hoang, Khang Q. Momin, Faiyaz Reyes, Carolina Big data analysis of treatment patterns and outcomes among elderly acute myeloid leukemia patients in the United States |
title | Big data analysis of treatment patterns and outcomes among elderly acute myeloid leukemia patients in the United States |
title_full | Big data analysis of treatment patterns and outcomes among elderly acute myeloid leukemia patients in the United States |
title_fullStr | Big data analysis of treatment patterns and outcomes among elderly acute myeloid leukemia patients in the United States |
title_full_unstemmed | Big data analysis of treatment patterns and outcomes among elderly acute myeloid leukemia patients in the United States |
title_short | Big data analysis of treatment patterns and outcomes among elderly acute myeloid leukemia patients in the United States |
title_sort | big data analysis of treatment patterns and outcomes among elderly acute myeloid leukemia patients in the united states |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4432101/ https://www.ncbi.nlm.nih.gov/pubmed/25791241 http://dx.doi.org/10.1007/s00277-015-2351-x |
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