OBJECTIVES: We sought to determine and compare the prevalence of nonadherence in lung, kidney, and liver transplant recipients, and identify potential risk factors for nonadherence. MATERIALS AND METHODS: This cross-sectional, single-center, retrospective cohort study, evaluated 225 outpatient lung, kidney, and liver transplant recipients' adherence to immunosuppressant medication. Based on immunosuppressant dosages and dispensing records, medication possession ratio (days of medication supplied/actual days) and gaps in prescription refills (> 30-day lapse between expected depletion of supply and next refill) were used as surrogate markers in assessing adherence for 2 years. Patients were adherent to their immunosuppressant medication regimens if their medication possession ratio was ≥ 80%. RESULTS: The mean age of the subjects was slightly greater than 50 years of age, and they were a median of 2.0, 1.3, and 1.1 years posttransplant at the start of data collection for lung, kidney, and liver recipients. Overall medication possession ratios were 95.4% ± 7.5%, 95.9% ± 7.6%, and 92.7% ± 12.3% in our lung, kidney, and liver recipients. Only 7.1% of patients had a medication possession ratio lower than 80%, which was the cutoff for nonadherence. No statistical analyses were performed to identify potential factors for nonadherence because of the small number of nonadherent patients. CONCLUSIONS: Immunosuppressant medication adherence at our center was high for all 3 organ cohorts, as measured by a medication possession ratio of 80% or better. Further study is needed to evaluate immunosuppressant adherence over time after transplant, and confirm the clinical factors that optimize adherence in high-risk patients.
OBJECTIVES: We sought to determine and compare the prevalence of nonadherence in lung, kidney, and liver transplant recipients, and identify potential risk factors for nonadherence. MATERIALS AND METHODS: This cross-sectional, single-center, retrospective cohort study, evaluated 225 outpatient lung, kidney, and liver transplant recipients' adherence to immunosuppressant medication. Based on immunosuppressant dosages and dispensing records, medication possession ratio (days of medication supplied/actual days) and gaps in prescription refills (> 30-day lapse between expected depletion of supply and next refill) were used as surrogate markers in assessing adherence for 2 years. Patients were adherent to their immunosuppressant medication regimens if their medication possession ratio was ≥ 80%. RESULTS: The mean age of the subjects was slightly greater than 50 years of age, and they were a median of 2.0, 1.3, and 1.1 years posttransplant at the start of data collection for lung, kidney, and liver recipients. Overall medication possession ratios were 95.4% ± 7.5%, 95.9% ± 7.6%, and 92.7% ± 12.3% in our lung, kidney, and liver recipients. Only 7.1% of patients had a medication possession ratio lower than 80%, which was the cutoff for nonadherence. No statistical analyses were performed to identify potential factors for nonadherence because of the small number of nonadherent patients. CONCLUSIONS: Immunosuppressant medication adherence at our center was high for all 3 organ cohorts, as measured by a medication possession ratio of 80% or better. Further study is needed to evaluate immunosuppressant adherence over time after transplant, and confirm the clinical factors that optimize adherence in high-risk patients.
Authors: David J Taber; James N Fleming; Cory E Fominaya; Mulugeta Gebregziabher; Kelly J Hunt; Titte R Srinivas; Prabhakar K Baliga; John W McGillicuddy; Leonard E Egede Journal: Am J Nephrol Date: 2016-12-02 Impact factor: 3.754
Authors: Tasmeen Hussain; Keira Nassetta; Linda C O'Dwyer; Jane E Wilcox; Sherif M Badawy Journal: Transplant Rev (Orlando) Date: 2021-09-20 Impact factor: 3.943
Authors: Anna Bertram; Jan Fuge; Hendrik Suhling; Igor Tudorache; Axel Haverich; Tobias Welte; Jens Gottlieb Journal: PLoS One Date: 2019-12-17 Impact factor: 3.240
Authors: Agnieszka Kisielska; Daria Schneider-Matyka; Kamila Rachubińska; Przemysław Ustanowski; Anita Rybicka; Elżbieta Grochans Journal: Int J Environ Res Public Health Date: 2022-04-01 Impact factor: 3.390