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Medline ® Abstracts for References 44,46

of 'Clinical manifestations and diagnosis of the myelodysplastic syndromes'

44
TI
Incidence of the myelodysplastic syndromes using a novel claims-based algorithm: high number of uncaptured cases by cancer registries.
AU
Cogle CR, Craig BM, Rollison DE, List AF
SO
Blood. 2011;117(26):7121. Epub 2011 Apr 29.
 
The myelodysplastic syndromes (MDSs) are hematologically diverse hematopoietic stem cell malignancies primarily affecting older individuals. The incidence of MDS in the United States is estimated at 3.3 per 100 000; however, evidence suggests underreporting of MDS to centralized cancer registries. Contrary to clinical recommendations, registry guidelines from 2001-2010 required the capture of only one malignancy in the myeloid lineage and did not require blood count (BC) or bone marrow (BM) biopsy for MDS confirmation. To address these potential limitations, we constructed 4 claims-based algorithms to assess MDS incidence, applied the algorithms to the 2000-2008 Surveillance Epidemiology and End Results (SEER)-Medicare database, and assessed algorithm validity using SEER-registered MDS cases. Each algorithm required one or more MDS claims and accounted for recommended diagnostic services during the year before the first claim: 1+, 2+, 2 + BC, and 2 + BCBM (ordered by sensitivity). Each had moderate sensitivities (78.05%-92.90%) and high specificities (98.49%-99.84%), with the 2 + BCBM algorithm demonstrating the highest specificity. Based on the 2 + BCBM algorithm, the annual incidence of MDS is 75 per 100 000 persons 65 years or older-much higher than the 20 per 100 000 reported by SEER using the same sample.
AD
Division of Hematology and Oncology, Department of Medicine, College of Medicine, University of Florida, Gainesville, FL 32610-0278, USA. c@ufl.edu
PMID
46
TI
Incidence and clinical complications of myelodysplastic syndromes among United States Medicare beneficiaries.
AU
Goldberg SL, Chen E, Corral M, Guo A, Mody-Patel N, Pecora AL, Laouri M
SO
J Clin Oncol. 2010;28(17):2847.
 
PURPOSE: To determine the incidence and complications of myelodysplastic syndromes (MDS) among Medicare beneficiaries.
METHODS: Retrospective review of 2003 Medicare Standard Analytic Files utilizing International Classification of Diseases for Oncology ninth edition CM code 238.7 to identify new MDS patients, with 3-year follow-up.
RESULTS: Among 1,394,343 individuals in Medicare Standard Analytic Files age>or = 65 years, 162 per 100,000 were coded as newly diagnosed MDS during 2003 yielding a calculated 45,000 new cases in the United States Medicare>or = 65 years population. Patients with MDS were older (median age, 77 years), and over-represented by males. Among patients with MDS diagnosed during first quarter of 2003, 73.2% suffered cardiac-related events during 3-year follow-up, which exceeded the Medicare population (54.5%; P<.01) even when age adjusted (odds ratio, 2.10; P<.01). Significant increases in prevalence of diabetes (40.0% v 33.1%), dyspnea (49.4% v 28.5%), hepatic diseases (0.8% v 0.2%), and infections (sepsis:22.5% v 6.1%) were noted in MDS (all P<.01) compared with the Medicare population. Patients with MDS requiring RBC transfusions had greater prevalence of these comorbidities. Acute myeloid leukemia developed within 3 years in 9.6%, with increased transformation among transfused (24.6%; P<.001). The 3-year Kaplan-Meier age-adjusted survival for MDS was 60.0%, which was significantly lower than the Medicare population (84.7%; hazard ratio, 3.08; P<.001), and mortality was further increased among transfused MDS (P<.01). In 2003, median payment for MDS was $16,181, compared to $1,575 for the Medicare population (P<.001).
CONCLUSION: MDS is a common hematologic malignancy of the elderly, which places patients at risk for comorbid conditions. Transfusion dependency identifies patients with MDS at additional increased risk of organ impairment and shortened survival.
AD
John Theurer Cancer Center at Hackensack University Medical Center, 20 Prospect Ave, Ste 400, Hackensack, NJ 07601, USA. sgoldberg@humed.com
PMID