Clinical applicability of proposed algorithm for identifying individuals at risk for hereditary hematologic malignancies. Issue 12 (15th October 2019)

• Record Type: Journal Article
• Authors: Clifford, Maggie; Bannon, Sarah; Bednar, Erica M.; Czerwinski, Jennifer; Davis, Jessica; Dunnington, Leslie; Shahrukh Hashmi, S.; DiNardo, Courtney D.
• Is Part Of: Leukemia & lymphoma. Volume 60:Issue 12(2019)
• Page Start: 3020
• Page End: 3027
• Publication Date: 2019-10-15
• Subjects: Hereditary hematologic malignancies -- clinical detection algorithm -- identifying at risk individuals -- leukemia -- cancer genetics risk assessment; Leukemia -- Periodicals; Lymphomas -- Periodicals; 616.99419
• DOI: 10.1080/10428194.2019.1630618
• Languages: English
• ISSNs: 1042-8194

Abstract

Abstract: Multiple genes have been identified to cause hereditary predispositions to hematologic malignancies, and characterized by an increased risk to develop myelodysplastic syndromes (MDS), acute myeloid leukemia (AML), and/or aplastic anemia (AA). Referral algorithms for patients who may be at higher risk have been proposed, with limited data regarding applicability. Our study aimed to evaluate referral criteria on a population of MDS/AML/AA patients. Demographic information and medical history were obtained from 608 patients referred over a 9-month period. Median age at diagnosis was 67 years (56–73), 387 (64%) were male, and the majority of individuals (54.9%) had AML. Overall, 406 individuals (66.8%) had insufficient documentation to determine whether certain criteria were met. Two hundred and two (33.2%) individuals met at least one criteria for genetic counseling referral; however, only nine (4.5%) were referred. Increased documentation of personal and family history is necessary to better assess and validate the applicability of these criteria.