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Ann Hematol. 2017 Dec;96(12):1993-2003. doi: 10.1007/s00277-017-3150-3. Epub 2017 Oct 31.

Epidemiological, genetic, and clinical characterization by age of newly diagnosed acute myeloid leukemia based on an academic population-based registry study (AMLSG BiO).

Author information

1
Institute of Epidemiology and Medical Biometry, Ulm University, Helmholtzstr. 22, 89081, Ulm, Germany. gabriele.nagel@uni-ulm.de.
2
Department of Internal Medicine III, University Hospital Ulm, Albert-Einstein-Allee 23, 89081, Ulm, Germany.
3
Institute of Epidemiology and Medical Biometry, Ulm University, Helmholtzstr. 22, 89081, Ulm, Germany.
4
Department of Internal Medicine I, Faculty of Medicine, University Hospital Freiburg, Freiburg, Germany.
5
Department of Internal Medicine II, University Hospital Hamburg-Eppendorf, Hamburg, Germany.
6
Department of Internal Medicine III, University Medical Center Mainz, Mainz, Germany.
7
Department of Internal Medicine III, Hospital Braunschweig, Braunschweig, Germany.
8
Department of Internal Medicine III, University Hospital of Bonn, Bonn, Germany.
9
Department of Hematology, Oncology and Clinical Immunology, University Hospital of Düsseldorf, Düsseldorf, Germany.
10
Department of Internal Medicine II, University Hospital of Tübingen, Tübingen, Germany.
11
Department of Hematology, Oncology and Tumor Immunology, Charité - Campus Virchow Clinic, Berlin, Germany.
12
Department of Hematology and Oncology, University Hospital of Göttingen, Göttingen, Germany.
13
Department of Internal Medicine I, Hospital Bremen-Mitte, Bremen, Germany.
14
Department of Hematology and Oncology, Hospital Essen-Werden, Essen, Germany.
15
Department of Internal Medicine III, University Hospital Klinikum rechts der Isar, Munich, Germany.
16
Department of Oncology and Hematology, Hospital Oldenburg, Oldenburg, Germany.
17
Department of Hematology and Oncology, University Hospital of Magdeburg, Magdeburg, Germany.
18
Department of Hematology and Oncology, Hospital Elisabethinen Linz, Linz, Austria.
19
Department of Internal Medicine III, Hospital Frankfurt-Hoechst, Frankfurt, Germany.
20
Department of Internal Medicine II, University Hospital of Schleswig-Holstein, Kiel, Germany.
21
Department of Hematology, Hemostasis, Oncology, and Stem Cell Transplantation, Hannover Medical School, Hannover, Germany.
22
Institute of Human Genetics, Hannover Medical School, Hannover, Germany.
23
Department of Internal Medicine III, University Hospital Ulm, Albert-Einstein-Allee 23, 89081, Ulm, Germany. hartmut.doehner@uniklinik-ulm.de.
24
NCT Trial Center, National Center for Tumor Diseases, Heidelberg, Germany.

Abstract

We describe genetic and clinical characteristics of acute myeloid leukemia (AML) patients according to age from an academic population-based registry. Adult patients with newly diagnosed AML at 63 centers in Germany and Austria were followed within the AMLSG BiO registry (NCT01252485). Between January 1, 2012, and December 31, 2014, data of 3525 patients with AML (45% women) were collected. The median age was 65 years (range 18-94). The comparison of age-specific AML incidence rates with epidemiological cancer registries revealed excellent coverage in patients < 70 years old and good coverage up to the age of 80. The distribution according to the European LeukemiaNet (ELN) risk categorization from 2010 was 20% favorable, 31% intermediate-1, 28% intermediate-2, and 21% adverse. With increasing age, the relative but not the absolute prevalence of patients with ELN favorable and intermediate-1 risk (p < 0.001), with activating FLT3 mutations (p < 0.001), with ECOG performance status < 2 (p < 0.001), and with HCT-CI comorbidity index < 3 (p < 0.001) decreased. Regarding treatment, obesity and favorable risk were associated with an intensive treatment, whereas adverse risk, higher age, and comorbidity index > 0 were associated with non-intensive treatment or best supportive care. The AMLSG BiO registry provides reliable population-based distributions of genetic, clinical, and treatment characteristics according to age.

KEYWORDS:

AML; Epidemiology; Genetics; Older age; Registry

PMID:
29090343
PMCID:
PMC5691091
DOI:
10.1007/s00277-017-3150-3
[Indexed for MEDLINE]
Free PMC Article

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