Göktaş MA, Yalcin N. Adherence to medical treatment for Wilson's disease in children and adolescents: a cohort study from Turkey.
Orphanet J Rare Dis 2024;
19:105. [PMID:
38454433 PMCID:
PMC10921804 DOI:
10.1186/s13023-024-03113-0]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Accepted: 03/03/2024] [Indexed: 03/09/2024] Open
Abstract
BACKGROUND
This study aimed to assess medication adherence and demographic, clinical, and psychopathological parameters such as quality of life, depression, and anxiety levels that can affect pediatrics with Wilson's Disease (WD).
METHODS
A prospective cohort study was conducted at an outpatient clinic in Turkey among pediatric patients (2 to 18 years) with WD between November 2022 and April 2023. The Medication Adherence Report Scale (MARS-5) as a subjective and Medication Possession Ratio (MPR) as an objective assessment were scored. Physical, genetic and biochemical parameters, the Pediatric Quality of Life Inventory (PedsQL) for both parents and patients, Childhood Depression Inventory, State Trait Anxiety Inventory were also administered.
RESULTS
A total of 30 pediatric outpatients who were prescribed D-penicillamine (n = 27) or trientine (n = 3) as chelators and zinc (n = 29) and pyridoxine (n = 19) as supplements were included. Proteinuria (n = 3), skin rash (n = 2), and gastrointestinal upset (n = 2) were observed. When the correlation between MARS-5 and duration of follow-up was examined, a significant negative correlation was found (p = 0.014). According to MPRs, non-adherence rates (missed doses ≥ 20%) were 29.6%, 17.2% and 5.3% for D-penicillamine, zinc and pyridoxine, respectively. PedsQL scores were higher than those of parents, with a positive correlation between them (p < 0.001). Also, there was a significant positive correlation between PedsQL and State Anxiety Inventory (p < 0.001). Comparing the change in urinary copper levels between different levels of treatment knowledge, significant differences were observed between high- and low levels (p = 0.043).
CONCLUSIONS
Overall, nonadherence rates were 23.3% based on MARS-5 and 5.3-29.6% based on MPR. It is essential to consider factors such as the duration of follow-up, biochemical parameters, treatment knowledge, quality of life and anxiety as potential influencers of medication adherence.
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