Diagnostic and molecular testing patterns in patients with newly diagnosed acute myeloid leukemia in the Connect® MDS/AML Disease Registry. Issue 1 (30th June 2020)

• Record Type: Journal Article
• Authors: Pollyea, Daniel A.; George, Tracy I.; Abedi, Mehrdad; Bejar, Rafael; Cogle, Christopher R.; Foucar, Kathryn; Garcia‐Manero, Guillermo; Grinblatt, David L.; Komrokji, Rami S.; Maciejewski, Jaroslaw P.; Revicki, Dennis A.; Roboz, Gail J.; Savona, Michael R.; Scott, Bart L.; Sekeres, Mikkael A.; Thompson, Michael A.; Kurtin, Sandra E.; Louis, Chrystal U.; Nifenecker, Melissa; Flick, E. Dawn; Swern, Arlene S.; Kiselev, Pavel; Steensma, David P.; Erba, Harry P.
• Is Part Of: EJHaem. Volume 1:Issue 1(2020)
• Page Start: 58
• Page End: 68
• Publication Date: 2020-06-30
• Subjects: acute myeloid leukemia -- diagnostic testing -- leukemia diagnosis -- leukemia therapy -- molecular testing -- registry; Hematology -- Periodicals; 616.15
• DOI: 10.1002/jha2.16
• Languages: English
• ISSNs: 2688-6146

Abstract

Abstract: Diagnostic and molecular genetic testing are key in advancing the treatment of acute myeloid leukemia (AML), yet little is known about testing patterns outside of clinical trials, especially in older patients. We analyzed diagnostic and molecular testing patterns over time in 565 patients aged ≥ 55 years with newly diagnosed AML enrolled in the Connect ® MDS/AML Disease Registry (NCT01688011) in the United States. Diagnostic data were recorded at enrolment and compared with published guidelines. The percentage of bone marrow blasts was reported for 82.1% of patients, and cellularity was the most commonly reported bone marrow morphological feature. Flow cytometry, karyotyping, molecular testing, and fluorescence in situ hybridization were performed in 98.8%, 95.4%, 75.9%, and 75.7% of patients, respectively. Molecular testing was done more frequently at academic than community/government sites (84.3% vs 70.2%; P < .001). Enrolment to the Registry after 2016 was significantly associated with molecular testing at academic sites (odds ratio [OR] 2.59; P = .023) and at community/government sites (OR 4.85; P < .001) in logistic regression analyses. Better understanding of practice patterns may identify unmet needs and inform institutional protocols regarding the diagnosis of patients with AML.