Medication Nonadherence After Lung Transplantation in Adult Recipients

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• 作者：Anthony W. Castleberry ; MD ; MMCi^a ; ^{anthony.castleberry@duke.edu} ; Muath Bishawi ; MD ; MPH^a ; Mathias Worni ; MD ; MHS^a ; ^b ; Loretta Erhunmwunsee ; MD^a ; Paul J. Speicher ; MD^a ; Asishana A. Osho ; MD ; MPH^c ; Laurie D. Snyder ; MD ; MHS^d ; Matthew G. Hartwig ; MD^a
• 刊名：The Annals of Thoracic Surgery
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：103
• 期：1
• 页码：274-280
• 全文大小：363 K
• 卷排序：103

文摘

Our objective was to identify potential avenues for resource allocation and patient advocacy to improve outcomes by evaluating the association between recipient sociodemographic and patient characteristics and medication nonadherence after lung transplantation.MethodsStates US adult, lung-only transplantations per the United Network for Organ Sharing database were analyzed from October 1996 through December 2006, based on the period during which nonadherence information was recorded. Generalized linear models were used to determine the association of demographic, disease, and transplantation center characteristics with early nonadherence (defined as within the first year after transplantation) as well as late nonadherence (years 2 to 4 after transplantation). Outcomes comparing adherent and nonadherent patients were also evaluated.ResultsPatients (n = 7,284) were included for analysis. Early and late nonadherence rates were 3.1% and 10.6%, respectively. Factors associated with early nonadherence were Medicaid insurance compared with private insurance (adjusted odds ratio [AOR] 2.45, 95% confidence interval [CI]: 1.16 to 5.15), and black race (AOR 2.38, 95% CI: 1.08 to 5.25). Medicaid insurance and black race were also associated with late nonadherence (AOR 2.38, 95% CI: 1.51 to 3.73 and OR 1.73, 95% CI: 1.04 to 2.89, respectively), as were age 18 to 20 years (AOR 3.41, 95% CI: 1.29 to 8.99) and grade school or lower education (AOR 1.88, 95% CI: 1.05 to 3.35). Early and late nonadherence were both associated with significantly shorter unadjusted survival (p < 0.001).ConclusionsIdentifying patients at risk of nonadherence may enable resource allocation and patient advocacy to improve outcomes.