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Results of Intensive Chemotherapy in 998 Patients Aged 65 Years or Older with Acute Myeloid Leukemia or High-Risk Myelodysplastic Syndrome - Predictive Prognostic Models for Outcome.
Abstract
Background. Elderly patients (age ≥ 65 years) with acute myeloid leukemia (AML) have a poor prognosis. AML-type therapy results are often derived from studies in younger patients and may not apply to elderly AML. Many investigators and oncologists advocate, at times, only supportive care or frontline single agents, phase I–II studies, low intensity regimens, or “targeted” therapies. Baseline expectations for outcomes of elderly AML with “standard” AML-type therapy are not well defined. Study Aims. To develop prognostic models for complete response (CR), induction (8-week) mortality, and survival rates in elderly AML, which define expectations with standard AML type therapy. Patients and Methods. 998 patients age ≥ 65 years with AML or high-risk myelodysplastic syndrome (≥ 10% blasts) treated with intensive chemotherapy between 1980 and 2004 were analyzed. Univariate and multivariate analyses of prognostic factors used standard methods. Results. The overall CR rate was 45% and induction mortality 29%. Multivariate analyses identified consistent independent poor prognostic factors for CR, 8-week mortality, and survival. These included age ≥ 75 years, unfavorable karyotypes (often complex), poor performance (3–4 ECOG), longer duration of antecedent hematologic disorder, treatment outside the laminar airflow room, and abnormal organ functions. Patients could be divided into: 1) a favorable group (about 20% of patients) with expected CR rates above 60%, induction mortality rates below 10%, and 1-year survival rates above 50%; 2) an intermediate group (about 50% of patients) with expected CR rates of 50%, induction mortality rates of 30%, and 1-year survival rates of 30%; and 3) an unfavorable risk group (about 25% to 30% of patients) with expected CR rates of less than 20%, induction mortality rates above 50%, and 1-year survival rates of less than 10%. Conclusions. Prognostic models were developed for elderly patients with AML, which may assist in therapeutic and investigational decisions.
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Fenaux, P., Mufti, G. J., Hellstrom-Lindberg, E., Santini, V., Finelli, C., Giagounidis, A., Schoch, R., Gattermann, N., Sanz, G., List, A., et al. (2009) · The Lancet Oncology · doi:10.1016/s1470-2045(09)70003-8 · Cited by 2,663
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DiNardo, C. D., Pratz, K., Pullarkat, V., Jonas, B. A., Arellano, M., Becker, P. S., Frankfurt, O., Konopleva, M., Wei, A. H., Kantarjian, H. M., et al. (2019) · Blood · doi:10.1182/blood-2018-08-868752 · Cited by 1,825
Self-citation‘Acute myeloid leukemia: a comprehensive review and 2016 update’
De Kouchkovsky, I., & Abdul-Hay, M. (2016) · Blood Cancer Journal · doi:10.1038/bcj.2016.50 · Cited by 1,317
Dombret, H., Seymour, J. F., Butrym, A., Wierzbowska, A., Selleslag, D., Jang, J. H., Kumar, R., Cavenagh, J., Schuh, A. C., Candoni, A., et al. (2015) · Blood · doi:10.1182/blood-2015-01-621664 · Cited by 1,165
Metadata
- Authors
- Jabbour, E., Kantarjian, H., O’Brien, S., Cortes, J., Giles, F., Faderl, S., Garcia-Manero, G., Wierda, W., Pierce, S., Shan, J., & Estey, E.
- Venue
- Blood
- Publisher
- American Society of Hematology
- Published
- 2005-11-16
- Volume
- 106
- Issue
- 11
- Pages
- 1846-1846
- ISSN
- 0006-4971 (ISSN-L)
- 1528-0020
- OpenAlex
- W2526458734
- Cited by
- 183
- References
- 0
- FWCI
- 1.25
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Results of Intensive Chemotherapy in 998 Patients Aged 65 Years or Older with Acute Myeloid Leukemia or High-Risk Myelodysplastic Syndrome - Predictive Prognostic Models for Outcome. https://app.cochat.ai/papers/10.1182/blood.v106.11.1846.1846
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- Jabbour, E., Kantarjian, H., O’Brien, S., Cortes, J., Giles, F., Faderl, S., Garcia-Manero, G., Wierda, W., Pierce, S., Shan, J., & Estey, E. (2005). Results of Intensive Chemotherapy in 998 Patients Aged 65 Years or Older with Acute Myeloid Leukemia or High-Risk Myelodysplastic Syndrome - Predictive Prognostic Models for Outcome. Blood. https://doi.org/10.1182/blood.v106.11.1846.1846
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