Literature DB >> 24991341

Hematologic complications, healthcare utilization, and costs in commercially insured patients with myelodysplastic syndrome receiving supportive care.

Annette Powers1, Claudio Faria2, Michael S Broder3, Eunice Chang4, Dasha Cherepanov5.   

Abstract

BACKGROUND: Myelodysplastic syndrome (MDS) is rare in people aged <50 years. Most patients with this disorder experience progressive worsening of blood cytopenias, with an increasing need for transfusion. The more advanced and severe the disorder, the greater the risk that it will progress to acute myeloid leukemia. Therapy is typically based on the patient's risk category, age, and performance status. Supportive care alone is a major option for lower-risk, older patients with MDS or those with comorbidities. The only potentially curative treatment option is hematopoietic stem-cell transplantation, which is typically used to treat high-risk, younger patients.
OBJECTIVE: To describe and compare the hematologic complications, healthcare utilization, and costs of supportive care in patients with MDS aged <50 years and in older patients aged ≥50 years.
METHODS: Using the i3/Ingenix LabRx claims database, this retrospective study included patients who were continuously enrolled (ie, 6 months preindex through 1 year postindex) in the study and who had an initial claim of MDS (index date) between February 1, 2007, and July 31, 2008. Patients treated with hypomethylating agents or thalidomide analogues were excluded. Claims included information on office visits, medical procedures, hospitalizations, drug use, and tests performed. The hematologic complications, costs, and utilization analyses were stratified by age into 2 age-groups-patients aged <50 years and those aged ≥50 years. The MDS-related diagnoses, utilization, and costs were analyzed postindex. The data used in this study spanned the period from August 1, 2006, to July 31, 2009.
RESULTS: We identified 1133 newly diagnosed patients with MDS who received supportive care only during the study period; of these, 19.5% were younger than age 50 years. These younger patients included more females (62.0% vs 52.5%; P = .011) and had fewer comorbidities (mean Charlson comorbidy index, 1.2 vs 2.4; P <.001) and physician office visits than those aged ≥50 years. Postindex, compared with the older patients, the younger patients had less use of erythropoietin therapy and fewer transfusions, anemia diagnoses, and potential complications of neutropenia and pneumonia diagnoses; however, more diagnoses of neutropenia and of decreased white blood cell counts were seen in the younger patients than in the older patients (P ≤.034 for all comparisons). Furthermore, younger patients had fewer mean office visits in the postindex period than older patients (17.5 vs 24.2, respectively; P <.001) and fewer hospitalizations (32.1% vs 44.6%, respectively; P = .004), but they had a longer (although not statistically significant) mean length of hospital stay (21 vs 14 days, respectively; P = .131). Mean total healthcare charges were $96,277 (median, $21,287) in younger patients compared with $84,102 (median, $39,402) in older patients, although this difference, too, was not significant.
CONCLUSIONS: MDS is associated with frequent and prolonged hospitalizations, frequent outpatient visits, and high costs in younger and in older patients who are receiving supportive care. Although this study shows that younger patients aged <50 years do not have significantly higher costs overall, a small proportion may have a higher healthcare utilization and cost-related burden of MDS than patients aged ≥50 years.

Entities:  

Year:  2012        PMID: 24991341      PMCID: PMC4031699     

Source DB:  PubMed          Journal:  Am Health Drug Benefits        ISSN: 1942-2962


  21 in total

1.  Challenges of using medical insurance claims data for utilization analysis.

Authors:  Patrick T Tyree; Bonnie K Lind; William E Lafferty
Journal:  Am J Med Qual       Date:  2006 Jul-Aug       Impact factor: 1.852

2.  A new method of classifying prognostic comorbidity in longitudinal studies: development and validation.

Authors:  M E Charlson; P Pompei; K L Ales; C R MacKenzie
Journal:  J Chronic Dis       Date:  1987

3.  Long-term blood product transfusion support for patients with myelodysplastic syndromes (MDS): cost analysis and complications.

Authors:  P Gupta; S C LeRoy; S D Luikart; A Bateman; V A Morrison
Journal:  Leuk Res       Date:  1999-10       Impact factor: 3.156

4.  Cost of transfusion-dependent myelodysplastic syndrome (MDS) from a German payer's perspective.

Authors:  Felicitas Kühne; Thomas Mittendorf; Ulrich Germing; Hans Tesch; Reiner Weinberg; Ulrich Grabenhorst; Andreas Mohr; Rainer Lipp; Johann Matthias von der Schulenburg
Journal:  Ann Hematol       Date:  2010-06-24       Impact factor: 3.673

5.  NCCN Clinical Practice Guidelines in Oncology: myelodysplastic syndromes.

Authors:  Peter L Greenberg; Eyal Attar; John M Bennett; Clara D Bloomfield; Carlos M De Castro; H Joachim Deeg; James M Foran; Karin Gaensler; Guillermo Garcia-Manero; Steven D Gore; David Head; Rami Komrokji; Lori J Maness; Michael Millenson; Stephen D Nimer; Margaret R O'Donnell; Mark A Schroeder; Paul J Shami; Richard M Stone; James E Thompson; Peter Westervelt
Journal:  J Natl Compr Canc Netw       Date:  2011-01       Impact factor: 11.908

6.  Myelodysplastic syndromes in patients younger than age 50.

Authors:  Andrea Kuendgen; Corinna Strupp; Manuel Aivado; Barbara Hildebrandt; Rainer Haas; Norbert Gattermann; Ulrich Germing
Journal:  J Clin Oncol       Date:  2006-11-06       Impact factor: 44.544

7.  No increase in age-specific incidence of myelodysplastic syndromes.

Authors:  Ulrich Germing; Corinna Strupp; Andrea Kündgen; David Bowen; Carlo Aul; Rainer Haas; Norbert Gattermann
Journal:  Haematologica       Date:  2004-08       Impact factor: 9.941

8.  A decision analysis of allogeneic bone marrow transplantation for the myelodysplastic syndromes: delayed transplantation for low-risk myelodysplasia is associated with improved outcome.

Authors:  Corey S Cutler; Stephanie J Lee; Peter Greenberg; H Joachim Deeg; Waleska S Pérez; Claudio Anasetti; Brian J Bolwell; Mitchell S Cairo; Robert Peter Gale; John P Klein; Hillard M Lazarus; Jane L Liesveld; Philip L McCarthy; Gustavo A Milone; J Douglas Rizzo; Kirk R Schultz; Michael E Trigg; Armand Keating; Daniel J Weisdorf; Joseph H Antin; Mary M Horowitz
Journal:  Blood       Date:  2004-03-23       Impact factor: 22.113

9.  Myelodysplastic syndromes: incidence and survival in the United States.

Authors:  Xiaomei Ma; Monique Does; Azra Raza; Susan T Mayne
Journal:  Cancer       Date:  2007-04-15       Impact factor: 6.860

10.  Health care utilization and mortality among elderly patients with myelodysplastic syndromes.

Authors:  K J Lindquist; M D Danese; J Mikhael; K B Knopf; R I Griffiths
Journal:  Ann Oncol       Date:  2010-11-01       Impact factor: 32.976

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1.  Cost-effectiveness and resource use of implementing MRI-guided NACT in ER-positive/HER2-negative breast cancers in The Netherlands.

Authors:  Anna Miquel-Cases; Lotte M G Steuten; Lisanne S Rigter; Wim H van Harten
Journal:  BMC Cancer       Date:  2016-09-05       Impact factor: 4.430

2.  Economic Burden of Patients Treated for Higher-Risk Myelodysplastic Syndromes (HR-MDS) in Routine Clinical Care in the United States.

Authors:  Jill A Bell; Aaron Galaznik; Marlo Blazer; Huai-Che Shih; Eileen Farrelly; Augustina Ogbonnaya; Michael Eaddy; Robert J Fram; Douglas V Faller
Journal:  Pharmacoecon Open       Date:  2019-06
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