Literature DB >> 22168217

Adherence to treatment with second-line therapies, dasatinib and nilotinib, in patients with chronic myeloid leukemia.

Marianne Ulcickas Yood1, Susan A Oliveria, Mark Cziraky, Ishan Hirji, Muhammad Hamdan, Catherine Davis.   

Abstract

BACKGROUND AND
OBJECTIVE: Previous studies have shown that long-term outcomes are more favorable for patients newly diagnosed with chronic myeloid leukemia (CML) if a complete cytogenetic response is achieved within ≤12 months of diagnosis. Because continuous and adequate dosing is important to achieve this outcome, it is important to understand treatment adherence as part of managing long-term CML therapy. While studies regarding imatinib suggest that adherence varies widely, data addressing adherence to newer breakpoint cluster region-Abelson (BCR-ABL) inhibitors (dasatinib and nilotinib) are sparse. This study evaluates real-world adherence in patients diagnosed with CML receiving dasatinib or nilotinib as second-line therapy. RESEARCH DESIGN AND METHODS: Using the HealthCore Integrated Research Database (HIRD(SM)), patients with ≥1 International Classification of Diseases, 9th edition/revision, Clinical Modification (ICD-9-CM) code for CML (205.1x ) and ≥1 prescription for imatinib from January 1, 2001 to June 30, 2010 were identified. Analysis was limited to patients who switched to second-line dasatinib or nilotinib. Dasatinib exposure was stratified by dose (≤100 mg/day or ≥140 mg/day) to account for dasatinib label changes. MAIN OUTCOME MEASURES: Medication possession ratio (MPR) was used to calculate adherence and Cox proportional hazard models were used to quantify poor rates of adherence (i.e., MPR <85%).
RESULTS: Of 2064 imatinib-exposed patients, 197 received dasatinib (≤100 mg/day, n = 112; ≥140 mg/day, n = 85) and 53 received nilotinib (400 mg BID, n = 46; 400 mg QD, n = 7) as second-line therapy. Mean exposure durations were 276 days for dasatinib (≤100 mg, 275 days; ≥140 mg, 276 days) and 170 days for nilotinib. Cox proportional hazard models quantifying rates of poor adherence (MPR < 85%) comparing nilotinib with dasatinib (adjusted for age, sex, duration of previous imatinib exposure, number of concomitant medications, presence of cardiovascular disease or diabetes) calculated hazard ratios of 1.6 (95% confidence interval [CI], 1.0-2.4) for nilotinib versus dasatinib overall, 1.9 (95% CI, 1.2-3.0) for nilotinib versus dasatinib ≤100 mg, and 1.2 (95% CI, 0.7-2.0) for nilotinib versus dasatinib ≥140 mg.
CONCLUSIONS: While this study is limited by use of claims data to identify CML and adherence, claims based data have been widely used to evaluate the association between treatment use and clinical outcomes. When stratified by dose, patients receiving second-line nilotinib were almost two times more likely to have poor adherence compared with patients receiving second-line dasatinib at the current approved dose of 100 mg once daily.

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Year:  2012        PMID: 22168217     DOI: 10.1185/03007995.2011.649849

Source DB:  PubMed          Journal:  Curr Med Res Opin        ISSN: 0300-7995            Impact factor:   2.580


  10 in total

Review 1.  Measurement of adherence to BCR-ABL inhibitor therapy in chronic myeloid leukemia: current situation and future challenges.

Authors:  Lucien Noens; Marja Hensen; Izabela Kucmin-Bemelmans; Christina Lofgren; Isabelle Gilloteau; Bernard Vrijens
Journal:  Haematologica       Date:  2014-03       Impact factor: 9.941

Review 2.  Oral antineoplastic agents: how do we care about adherence?

Authors:  Marie Barillet; Virginie Prevost; Florence Joly; Bénédicte Clarisse
Journal:  Br J Clin Pharmacol       Date:  2015-10-28       Impact factor: 4.335

3.  Understanding and Challenges in Taking Tyrosine Kinase Inhibitors among Malaysian Chronic Myeloid Leukemia Patients: A Qualitative Study

Authors:  Yik Ming Lim; Wei Lerk Eng; Huan Keat Chan
Journal:  Asian Pac J Cancer Prev       Date:  2017-07-27

4.  Characterization of Patients with Chronic Myeloid Leukemia Unresponsive to Tyrosine Kinase Inhibitors Who Underwent Allogeneic Hematopoietic Stem Cell Transplantation.

Authors:  Franceli Ramos Carvalho; Joice Zuckermann; Alessandra Paz; Gustavo Fischer; Liane Esteves Daudt; Lisandra Della Costa Rigoni; Lúcia Silla; Laura Fogliatto; Simone Martins de Castro; Diogo André Pilger
Journal:  Int J Hematol Oncol Stem Cell Res       Date:  2017-01-01

Review 5.  Monitoring and Improving Adherence to Tyrosine Kinase Inhibitors in Patients with Chronic Myeloid Leukemia: A Systematic Review.

Authors:  Bee Kim Tan; Ping Chong Bee; Siew Siang Chua; Li-Chia Chen
Journal:  Patient Prefer Adherence       Date:  2021-11-18       Impact factor: 2.711

6.  Implementation of a model integrating primary and oncology pharmacists' care for patients taking oral anticancer agents (OAA).

Authors:  Karen B Farris; Tiffany Cadwallader; Joel Farley; Katie Gatwood; Emily Mackler; Justin Gatwood
Journal:  Explor Res Clin Soc Pharm       Date:  2022-07-29

7.  Patient-reported adverse drug reactions and their influence on adherence and quality of life of chronic myeloid leukemia patients on per oral tyrosine kinase inhibitor treatment.

Authors:  Meri Kekäle; Marikki Peltoniemi; Marja Airaksinen
Journal:  Patient Prefer Adherence       Date:  2015-12-08       Impact factor: 2.711

Review 8.  Importance of adherence to BCR-ABL tyrosine-kinase inhibitors in the treatment of chronic myeloid leukemia.

Authors:  Maria Helena de Almeida; Laura Fogliatto; Dulce Couto
Journal:  Rev Bras Hematol Hemoter       Date:  2014

9.  Nilotinib-Induced Keratosis Pilaris.

Authors:  Wai Mun Sean Leong; Chen Wee Derrick Aw
Journal:  Case Rep Dermatol       Date:  2016-04-21

10.  Response and Adherence to Nilotinib in Daily practice (RAND study): an in-depth observational study of chronic myeloid leukemia patients treated with nilotinib.

Authors:  Christel C L M Boons; Lonneke Timmers; Jeroen J W M Janssen; Peter E Westerweel; Nicole M A Blijlevens; Willem M Smit; Imke H Bartelink; Janneke A Wilschut; Eleonora L Swart; N Harry Hendrikse; Jacqueline G Hugtenburg
Journal:  Eur J Clin Pharmacol       Date:  2020-06-02       Impact factor: 2.953

  10 in total

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