Research Article |
Corresponding author: Reem Ali Shaker ( reem.imarah@student.uokufa.edu.iq ) Academic editor: Valentina Petkova
© 2024 Reem Ali Shaker, Fadhil Abduljabbar Rizij, Talib Abduljaleel Jasim.
This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Citation:
Shaker RA, Abduljabbar Rizij F, Jasim TA (2024) Deferasirox adherence in patients with thalassemia: Exploring the association with patient knowledge and ferritin levels. Pharmacia 71: 1-6. https://doi.org/10.3897/pharmacia.71.e128144
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In this study, data from 171 patients with thalassemia were analyzed. There was high variability in ferritin levels among patients, with a median of 2290 ng/mL. The median Morisky adherence score was 4, and 75% of the patients had low adherence levels to deferasirox. There were no significant correlations between the adherence score and patients’ sociodemographic data. However, a significant positive correlation was noted between the adherence score and the knowledge score of the patients. Ferritin levels were significantly and negatively correlated with the adherence score, as demonstrated by the highest ferritin level observed among patients with low levels of adherence. In conclusion, a low level of adherence to deferasirox was noted among patients with thalassemia. Adherence levels were directly associated with patients’ knowledge of the disease and its therapy, while ferritin levels were inversely linked to adherence levels. Thus, tailored and effective strategies are needed to optimize chelation therapy and patient outcomes.
thalassemia, deferasirox, knowledge, adherence, serum ferritin
Thalassemia is one of the most common inherited hematological disorders worldwide, with approximately 5.0% of the global population carrying alpha-thalassemia and 1.5% carrying beta-thalassemia (
Oral ICT has become accessible to patients over the last two decades, including deferiprone, administered three times daily, and deferasirox, administered once daily (
Deferasirox is the most commonly used oral chelation therapy among Iraqi patients because of its ease of use and free-of-charge provision by the Iraqi Ministry of Health to all thalassemia centers. However, a cohort study reported higher median serum ferritin levels, more prominent thalassemia complications, and a lower median age among Iraqi patients with beta-thalassemia compared to other countries, indicating the suboptimal management of thalassemia and the need to optimize chelation therapy (
A cross-sectional, observational study was conducted in the specialized center for thalassemia at Al Zahraa Teaching Hospital in Al Najaf Governorate, Iraq, from February to October 2023. The eligible patients for this study were male and female patients previously diagnosed with thalassemia, visiting the center constantly, and taking deferasirox for the last 6 months. During the study interval, we approached 194 patients who were administered ICT, and about 177 patients met the eligibility criteria; we sought their permission for involvement in this study after fully explaining to them the research objectives. The patient information was collected using a revised questionnaire adapted from previous literature (
The data were analyzed using the statistical package for the social sciences (SPSS) software version 25. Descriptive statistics were obtained for all study items. Continuous variables have been expressed as mean ± SD and median with interquartile range (IQR), whereas categorical variables have been expressed as frequency and percentage. The Shapiro–Wilk test was used to assess the normality of the distribution of parameters. Mann–Whitney and Kruskal–Wallis tests were used to assess the effect of the difference in Morisky adherence scores on patient variables. Spearman’s Rho correlation was used to measure the relationship among patients’ knowledge, adherence scores, and serum ferritin levels. A P-value of less than 0.05 was considered statistically significant.
In the initial survey, 194 patients were taking ICT, and out of them, 177 patients were taking deferasirox. From these people, 174 patients completed the Morisky adherence survey. To ensure the strength of the statistical analysis, we carefully screened the data for outliers. After the removal of three outliers from the data, we conducted statistical analysis on the remaining 171 patients’ data.
Male and female distributions were found to be equal among the patients. Most of the patients lived in urban areas (64.9%), about 63% had primary or secondary education, and around 75% of the patients were unemployed. Most of the patients employed stated having a low to moderate income. However, all of them received blood transfusions, as shown in Table
Patients’ variables | Frequency | Percent |
---|---|---|
Gender | ||
Male | 86 | 50.3% |
Female | 85 | 49.7% |
Age | ||
Adult | 126 | 26.3% |
Child | 45 | 73.7% |
Area of residence | ||
Rural | 60 | 35.1% |
Urban | 111 | 64.9% |
Level of education | ||
No formal education | 47 | 27.5% |
Primary or Secondary | 107 | 62.6% |
College or higher | 17 | 9.9% |
Occupation | ||
Not employed | 128 | 74.9% |
Governmental employed | 36 | 21.1% |
Healthcare provider | 7 | 4.1% |
Monthly income | ||
Low | 75 | 43.9% |
Moderate | 94 | 55.0% |
Higher | 2 | 1.2% |
Frequency of transfusion | ||
Once monthly | 49 | 28.7% |
Twice monthly | 92 | 53.8% |
Thrice monthly | 30 | 17.5% |
Consanguineous marriage | ||
Yes | 139 | 81.3% |
No | 32 | 18.7% |
Treatments | ||
Deferasirox | 174 | 100% |
Desferal | 43 | 25.1% |
Folic acid | 160 | 93.6% |
Calcium | 83 | 48.5% |
One alpha | 89 | 52.0% |
Parameter | N | Mean | SD | Median | 25% (IQR) | 75% (IQR) |
---|---|---|---|---|---|---|
Age (years) | 171 | 18.05 | 9.56 | 16 | 11 | 20 |
Weight (kg) | 171 | 38.79 | 14.35 | 40 | 25 | 50 |
Serum ferritin (ng/mL) | 171 | 2734 | 2139 | 2290 | 1023 | 3733 |
HCT (%) | 169 | 23.64 | 3.65 | 24 | 21.45 | 26 |
HB (g/L) | 169 | 7.69 | 1.30 | 7.73 | 6.91 | 8.61 |
ALT (U/L) | 169 | 26.6 | 28.6 | 16.7 | 7.8 | 34.0 |
AST (U/L) | 169 | 44.6 | 30.9 | 36.1 | 25.0 | 52.6 |
UREA (mg/dl) | 169 | 25.5 | 8.4 | 24.9 | 19.6 | 32.4 |
CR (mg/dl) | 169 | 0.41 | 0.15 | 0.39 | 0.30 | 0.50 |
Total knowledge score | 171 | 7.4 | 1.9 | 8 | 6 | 9 |
Total Morisky score | 171 | 4.2 | 2.2 | 4 | 2 | 6 |
Fig.
Morisky adherence items | Yes, N (%) | No, N (%) | |
---|---|---|---|
1 | Do you sometimes forget to take your medicine? | 113 (58) | 58 (33.9) |
2 | People sometimes miss taking their medicines for reasons other than forgetting. Thinking over the past 2 weeks, were there any days when you did not take your medicine | 102 (59.6) | 69 (40.4) |
3 | Have you ever cut back or stopped taking your medicine without telling your doctor because you felt worse when you took it? | 87 (50.9) | 84 (49.1) |
4 | When you travel or leave home, do you sometimes forget to bring along your medicine? | 62 (36.3) | 109 (63.7) |
5 | Did you take all your medicines yesterday? | 124 (72.5) | 47 (27.5) |
6 | When you feel like your symptoms are under control, do you sometimes stop taking your medicine? | 53 (31.0) | 118 (69.0) |
7 | Taking medicine every day is a real inconvenience for some people. Do you ever feel hassled about sticking to your treatment plan? | 135 (78.9) | 36 (21.1) |
8 | How often do you have difficulty remembering to take all your medicine? | Never/Rarely | 64 (37.4) |
Once in a while | 44 (25.7) | ||
Sometimes | 35 (20.5) | ||
Usually | 20 (11.7) | ||
All the time | 8 (4.6) |
No significant correlations were observed in Table
The correlation of the total Morisky score with the patients’ characters.
Patients’ characters | N | Mean of Morisky score | SD | Mean Rank | P-value |
---|---|---|---|---|---|
Female | 86 | 4.15 | 2.34 | 85.9 | 0.685 |
Male | 85 | 4.30 | 2.19 | 89.0 | |
Child | 45 | 4.089 | 2.4 | 86.9 | 0.927 |
Adult | 126 | 4.27 | 2.2 | 87.7 | |
Rural | 60 | 3.77 | 1.93 | 77.9 | 0.104 |
Urban | 111 | 4.46 | 2.3 | 92.7 | |
No formal education | 47 | 3.61 | 1.88 | 73.9 | 0.078 |
Primary or Secondary | 107 | 4.51 | 2.34 | 94.2 | |
College or higher | 17 | 4.02 | 2.23 | 82.7 | |
Low income | 75 | 4.09 | 2.36 | 85.1 | 0.516 |
Moderate income | 94 | 4.35 | 2.2 | 90.1 | |
High income | 2 | 3.00 | 1.4 | 54.5 | |
Not employed | 128 | 4.05 | 2.22 | 83.5 | 0.145 |
Employed | 36 | 4.67 | 2.06 | 97.1 | |
Health care provider | 7 | 5.14 | 2.44 | 111.6 | |
Mono ICT | 128 | 4.42 | 2.1 | 86.1 | 0.523 |
Combination ICT | 43 | 4.15 | 2.3 | 91.6 |
Interestingly, there were significant positive correlations noted between the total scores of patients’ knowledge and medication adherence scores. Serum ferritin levels exhibited a significant negative correlation with the total scores of medication adherence. In other words, with an increase in medication adherence, there was a decrease in serum ferritin levels, as presented in Table
Correlated parameters | N | Correlation r | P value |
---|---|---|---|
Adherence score and knowledge | 171 | 0.232 | 0.003 |
Ferritin level and Adherence | 171 | -0.208 | 0.006 |
Ferritin level and Knowledge | 171 | -0.046 | 0.550 |
According to the results of the current study, 75% of the patients demonstrated poor adherence to oral ICT, namely deferasirox, as shown in Fig.
Knowledge and awareness about the disease and its treatment are fundamental to ensuring good treatment adherence in different disease conditions (
Poor adherence to chelation therapy has been found to result in inadequate removal of iron, thus leading to an increase in serum ferritin levels. The present study showed serum ferritin levels to be inversely correlated with the rate of adherence. We observed lower serum ferritin levels among patients with high adherence scores compared to patients with low adherence scores, as shown in Fig.
This study has revealed poor adherence levels to deferasirox in thalassemic patients and, hence, high serum ferritin levels in non-adherence patients. Interestingly, adherence score has been directly correlated with the knowledge level of patients, and ferritin level is inversely correlated with adherence score. Thus, further research is needed to develop a directed interventional program to improve adherence to this treatment and ensure proper treatment outcomes.