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Comparison of Cost Analysis in Patients with Tetrahydrobiopterin-Responsive and Non-responsive Phenylketonuria

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Abstract
Phenylketonuria is an inherited metabolic disorder that leads to neurobehavioral dysfunction. The main treatment is a low-phenylalanine diet and/or the cofactor tetrahydrobiopterin. Regular outpatient follow-up care and measurement of the phenylalanine level in the blood are required. We aimed to analyze the economic burden of phenylketonuria on families and the state. The pa-tients with phenylketonuria were divided into three groups according to their treatment: a low-phenylalanine diet group (n= 50), a tetrahydrobiopterin group (n= 44) and a group taking tetra-hydrobiopterin together with the diet (n= 25). A comparative cost analysis was carried out. The annual economic burden to the state was calculated to average €18801±15345 and was lowest in the diet group, then in the tetrahydrobiopterin group and highest in the tetrahydrobiopterin+diet group (p < 0.001). Out-of-pocket costs amounted to €1531±1173 per year, and indirect losses aver-aged €2125±1930 per year for all families. The economic loss was significantly lower in the fami-lies taking tetrahydrobiopterin than in the other groups (p=0.001). The combined use of medical nutrition and BH4 treatments has been shown to increase the economic harm to the state. Reim-bursing low-protein products and increasing the rate of patients eligible for financial allowances may reduce the economic harm to families.
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Subject: Medicine and Pharmacology  -   Endocrinology and Metabolism

1. Introduction

The Phenylketonuria (PKU) is an autosomal recessive inherited metabolic disorder caused by phenylalanine hydroxylase (PAH) gene mutations [1]. Phenylalanine hydroxylase is a hepatic enzyme that converts phenylalanine to tyrosine with the cofactor tetrahydrobiopterin (BH4). If the disease is not treated, it leads to irreversible neurological sequelae due to phenylalanine accumulation [2,3]. Each four-week delay in treatment has been shown to reduce IQ by four points [4]. With the national newborn screening, most patients had the opportunity to be diagnosed in the newborn period [5,6]. Turkey is the country with the highest incidence (1/6661) of phenylketonuria [7]. Phenylketonuria was the first disease for which newborn screening was performed in Turkey [8]. PKU screening was introduced in 1983 and disseminated throughout Turkey in 1994 [9].
Phenylketonuria requires special dietary treatment and follow-up from the time of diagnosis [10]. The main treatment is a low-phenylalanine diet and/or the cofactor tetrahydrobiopterin [11,12,13]. Treatment with tetrahydrobiopterin lowers blood phenylalanine levels and increases phenylalanine intolerance by increasing enzyme activity PAH in patients who respond to BH4 [11,14,15]. Intake of natural protein (meat, milk, fish, eggs, bread) is very limited during treatment. Some foods naturally low in protein, such as vegetables and fruits, can be consumed with restrictions. Low-protein formulations and special low-protein foods (bread, flour, pasta, soup, rice, meat, cheese, etc.) have been developed for patients with phenylketonuria [16]. However, these are more expensive and more difficult to obtain than normal products [17].
The main goal of treatment is to preserve neurocognitive functions [18]. Micronutrient, vitamin, and mineral deficiencies should be identified during the outpatient examination [19]. Frequent hospital outpatient visit required for monitoring blood phenylalanine levels, outpatient follow-up, and other health problems associated with PKU [11]. Follow-up in pediatric neurology and psychiatry is required for some patients [20]. Transportation, lodging, parking, some of the examination and medication fees, and out-of-pocket expenses at the hospital place cause an economic burden on families. Some families pay shipping fees to purchase medications and food or to send a blood test. Parents must pay more for day care and a caregiver to make sure their child's diet is followed properly. Frequent hospital visits also result in lost productivity. Some family members have to change jobs or quit their jobs to provide the special diet and care for PKU. All these direct and indirect losses cause significant economic harm to families.
Part of the examination and medication fees, blood phenylalanine level monitoring, routine biochemical testing, genetic testing, IQ screening, special education and rehabilitation, hospitalization, and diaper fees for individuals with urinary incontinence are covered by the Social Security Institution of the Republic of Turkey (SSI) [21]. Phenylalanine-free formula, low-protein milk, BH4, and treatments with large neutral amino acids are also covered by SSI. Special low-protein foods, which are an important component of dietary treatment, are not reimbursed. Instead, SSI provides financial support for low-protein foods in a range of €5.6-€14.5 per month, depending on age. When the families of children with phenylketonuria apply to the Social Insurance Institution, a "Special Needs Report for Children" is issued, which provides some benefits [22]. The report is given by the state to children with chronic diseases. They can ride public transportation for free and get 20% discount on all domestic flights. They receive a discount on the special consumption tax (SCT) for vehicles. Depending on the socio-economic level of the family, financial support for home care is provided each month [23,24].
Dietary treatment reimbursements and benefits vary widely in different countries [25,26]. Phenylketonuria requires special management from the time of diagnosis [27]. Early and regular treatment is important to prevent neurological sequelae and to integrate affected individuals into society as healthy individuals [28]. Phenylketonuria represents an economic burden for both the state and families due to management of the disease [17,26,29,30,31]. The aim of our study is to prospectively determine the economic burden on families and the state of PKU patients treated with a low-phenylalanine diet and/or BH4 treatment.

2. Materials and Methods

2.1. Study participants

A prospective observational study was conducted between March 2020 and March 2021 at the Istanbul University-Cerrahpasa, Cerrahpasa Medical Faculty, Department of Pediatrics, Division of Nutrition and Metabolism, one of the reference centers for inherited metabolic disease in Turkey. Patients with a diagnosis of phenylketonuria were included in the study.

2.2. Data collection

2.2.1. Burden on government

Patient records and the hospital's electronic registration system were reviewed again and physicians were interviewed. The costs of phe-free formulas, low-protein milk, medication, tests, healthcare visits and rehabilitation were identified. Allowanc-es that were provided by the government were questioned. The annual economic damage of the state was calculated.

2.2.2. Burden on families

A one-to-one questionnaire was administered to families to determine their expenditures due to phenylketonuria and sociodemographic characteristics. A prospective weekly nutrition record chart was requested in order to determine the nutrition costs. Annual economic damage of families was calculated. Expenditures of families are divided into medical and non-medical expenditures. Medical expenditures included part of the examination and medication fees, extra hours of special education and rehabilitation fees and an extra amount for diapers which is then reimbursed by the government. The non-medical economic burden included special low-phe products, transportation, lodging, parking, out-of-pocket expenses at the hospital, day care, shipping fees to purchase medications, food and the sending a blood test.

2.3. Comparison of patient groups

The patients were divided into three groups according to their treatment: Group 1: low- phe diet group, Group 2: patients treated with tetrahydrobiopterin, and Group 3: patients who received both tetrahydrobiopterin and low- phe diet. The economic burden on families and the state was compared by age, disease severity, treatment groups, disease control and phenylalanine tolerance, and sociodemographic characteristics. The medical and non-medical expenditures of the families were compared with those of the three groups. Based on the average exchange rate of March 2021, 1 euro was calculated as 8.34 TL. Wealth score was calculated by assigning a score for each item the family owned and adding these values together. The items were listed as telephone, cell phone, washing machine, dishwasher, computer, house, summer house and car. A score of 0-4 was considered a low score and a score of 5-8 was considered a high welfare score [32]. The disease was considered uncontrolled if more than 30% of phenylalanine levels in the last three months were outside the target value.

2.4. Statistical Analysis

Categorical variables were described as the percentage of the total sample size. Continuous variables with a normal distribution were expressed as means ± SDs and others with non-normal distribution as medians. The statistical differences between given categories were calculated using the Kruskal–Wallis test (three groups) and Mann Whitney U test (two groups) due to non-normally distributed data. Results were considered statistically significant if P-values were <0.05. All statistical analyses were carried out using statistical software (SPSS, version 20.0 for Windows; SPSS, Chicago, IL).

3. Results

3.1. Patient characteristics

A total of 109 families with 119 PKU patients (47 % males, 53 % females) participated in the study. The median age of the patients in groups 1, 2 and 3 were 6.6, 2.9 and 4.5 years respectively. The distribution of the diagnosis and treatment groups is shown in Table 1
106 (89%) patients were diagnosed by newborn screening. The median age at diagnosis was 17.5 days (1 day-17 years) and the mean age was 168.5 days. 12% of patients were diagnosed two months after birth (n: 14). While 85% of patients had normal intelligence development. 15% of patients were mentally retarded. The disease was under control in 75% of the patients.
In 100 families only one child, in eight families two children and in one family three children were diagnosed with PKU. The average number of persons in the families was four. The average age of the mother was 34 years (23-63 years) and the average age of the father was 37 years (24-70 years). The proportion of fathers with more than 8 years of schooling was 53%, and the proportion of mothers was 47%. The mean monthly per capita income was €135±98 (€21-€800), and the median monthly income was €114. Of the patients, 69 patients (% 57) had low (1-4) wealth score, and 39 patients had high (5-8) wealth score. Eleven patients did not answer the questions on asset value. 100 patients lived in Istanbul and 19 patients lived outside Istanbul. Eight families had to change the city where they lived because transportation for their hospital visits was a problem, and six families had to move to an area within the city where transportation was easier.

3.2. Economic burden of the PKU on the government

The annual economic damage of the state was determined as €18801±15345, median €15834 (€352-€75953) for all patients. Annual economic burden on families and state are shown in Table 2 (p < 0.001).
The state's economic damage was analyzed across age groups (0-3 years, 3-12 years, over 12 years). The economic damage caused by the 0-3 age group to the state was found to be significantly lower than the 3-12 age group (p=0.006) (Table S1).
When the economic damage of the state was analyzed between patients with low (1-4) and high (5-8) wealth scores, no significant difference was found (p=0.55). No significant difference was found between patients with and without controlled disease (p=0.075). It was found that the economic burden of breastfed patients to the state was significantly lower compared to other patients (p=0.001). Spearman's correlation analysis evaluating phenylalanine tolerance and economic damage to the state showed a weak positive correlation (p: 0.022; r: 0.230). When comparing annual economic damage of the state by diagnosis, patients with mild PKU were significantly higher than those with classic PKU (p=0.047). Patients with mild PKU had a mean of €20129±13630, a median of €16630, patients with classic PKU had a mean of €17405±16971 and a median of €10316.
It was found that the economic damage to the state was lowest in group 1 and highest in group 3 (p < 0.001). BH4 constituted the largest portion of the state's economic damage, followed by medical food (low-protein formula and low-protein milk) in second place and examination fees in third place for the overall group. The most important reason for the state's economic damage in patients on diet was medical food. The average annual cost of medical food of patients on the diet was €6859±3895, and the median was calculated as €6674 (€2180-€20800) (Table S2).
The main economic damage in patients using tetrahydrobiopterin was BH4 treatment (n: 44). The mean annual economic burden for BH4 was €20177±12505, with a median of €16163 (Table S2).
The most important cause of economic damage was BH4 treatment, and the second most important cause was medical nutrition in group 3 (n: 25). In this group, annual BH4 costs were calculated to average €31208±13537, with a median of €32326. Annual medical food costs were calculated to be €5515±2516 with a median of €4719 (Table S2).
There was no significant difference between group 1 and 3 when comparing the economic damage of the state from medical foods (p=0.168). When group 2 and 3 BH4 charges were compared, it was significantly higher in group 3 (p=0.001).

3.3. Economic burden of PKU on the families

The total economic damage to the families was compared according to the treatment groups. It was found that the harm in group 2 was significantly lower than in group 1 and group 3 (p=0.001). There was no significant difference between group 1 and group 3 (Table 2). It was found that economic damage was significantly higher in patients with classic PKU than in patients with mild PKU (p=0.004). There was no significant difference between the total economic damage to families of patients with and without controlled disease (p=0.055). The economic damage to families of patients who were breastfed was lower than those who were not (p=0.021). For breastfed patients, the annual economic harm to the family was calculated to average €1520±1084, with a median of €1272. There was a positive correlation between per capita income and family economic loss (p= 0.009; r= 0.242). Spearman’s correlation analysis for evaluating phenylalanine tolerance and family economic harm showed a weak negative correlation (p= 0.027; r=-0.222). It was found that the economic harm was higher in families with a high educated father than in the other group (p=0.006). There was no association between the mother's educational level and economic harm (p=0.11). No significant difference was found when family economic harm was analyzed by age group (p=0.135), age at diagnosis (p=0.84), mental status (p=1.76), wealth score (p=0.5), and gender (p=0.97).
When comparing family non-medical economic harm by treatment group, group 2 had lower economic harm than group 1 and group 3 (p=0.001) (Table S3). There was no significant difference between group 1 and group 3 in this comparison. No significant difference was found when comparing families' economic losses due to medical costs by treatment group (p=0.48). The most important part of medical economic losses for all families was the fee for special education and rehabilitation. The annual average of examination fees, which was the same for all patients, was €36±23. Low-protein products were the most important cause of nonmedical economic losses for families in group 1 and group 3; in group 2, it was normal food. Besides food, the most important expense was travel costs.

3.4. Economic damage caused by food

The most used low-protein products were flour, pasta, bread, and rice. Other unclassified low-protein products made up the biggest economic burden in terms of food. This group included instant soup, noodles, yogurt substitute, tarhana, semolina, cornflakes, french fries, crackers, cookies, wafers, cakes, cookies, chocolate, hazelnut paste, fruit juice, and flavored straws. The other expenditures were for pasta and rice respectively for dieting patient families, pasta and meat substitutes respectively for dieting patient families using BH4 (Table S4).
No significant difference was found between the diet and BH4+ diet groups when comparing families' economic loss from low-protein products (p=0.78). The average annual costs of low-protein products of patients were €1041±758 in diet group and €1156±900 in BH4+diet group. Spending on normal foods was higher in the BH4 group than in the other two groups (p <0.001), but there was no significant difference between the diet and BH4 + diet groups (Table S5).

3.5. Indirect losses of families

The average annual loss of working days for mothers of all patients are 5.3 days, median 3.5 days (2-12), the average annual loss of working days for fathers are 21.9 days, median 15 days (2-60), the average annual loss of working days for other relatives was calculated as 16.5 days, median 15 days (2-60). The loss of earnings due to hospital visits was a major economic burden. Some parents worked shifts and adjusted their working hours to allow for hospital visits. Two mothers and 17 fathers had to change jobs because they had difficulty taking time off work. Fifteen mothers stopped working when their child was diagnosed with PKU and one father was fired because he took frequent leave. The mean annual salary loss due to days off was €523±320, and the median was €575. The indirect loss of earnings were calculated by adding the salary deductions for days off work, lower wages due to a job change and wages that could no longer be earned due to dismissal. The average annual loss of earnings was € 2125±1930, the median value was € 1280.

3.6. Financial support received by families

Financial support for low-protein foods (n: 40) was the most common support received by families, averaging €154±27 per year. Twelve families benefited from home care support and the average was €2128±61 per year. Eleven families received financial support from their relatives. Three families benefited from the reduction of vehicle tax.

4. Discussion

Phenylketonuria was the first disease screened in the national newborn screening in our country, and the aim was to prevent irreversible neurological sequelae by initiating appropriate treatment in the neonatal period [9]. The treatment of phenylketonuria represents an economic burden for both families and the government. To the best of our knowledge, our study is the first to examine the medical and non-medical economic harm caused by PKU to the state and family by treatment groups. There are differences from country to country in reimbursement of phenylalanine-free formulas, low-protein foods and BH4 therapy; these differences impact patient access to treatment resources [25]. In the study conducted in the Netherlands by Eijgelshoven et al [31], the economic burden and time lost by families due to PKU were investigated. Similar to our study, it was found that the most important cause of economic loss for families was low-protein products. The economic burden and time loss of families due to PKU were studied by MacDonald et al [30]. More than 90% of the patients in this study were patients with classic PKU and a low-phenylalanine diet. In the United Kingdom, PKU patients younger than 16 years experienced less economic harm from low-protein products because phenylalanine-free formulas and low-protein products are reimbursed by the government. Travel costs to attend phenylketonuria events, excess baggage fees for special items on holiday, fees for cooking utensils, and special low-protein products were the expenses incurred by families. As in our study, the economic harm to families was found to be independent of disease control. In the study conducted by Mlčoch et al [17] in the Czech Republic, the dietary behavior and costs of patients with hereditary metabolic disease and PKU using low-protein products were investigated. While the phenylalanine-free prescriptions of patients with phenylketonuria fell within the scope of reimbursement, the low-protein products were covered by the families. It was found that an average of €130 per month (€1560 per year) was spent on low-protein products. Among the low-protein products, milk, flour, pastries and pasta were the greatest burden. According to a study conducted by Wang et al [29] in China, disease-related expenses in patients with classic PKU amounted to 75% of the median family income. Health insurance in China does not cover the expenses required for follow-up and treatment of the disease. Some local governments cover or provide cash reimbursement for phenylalanine-free formula for patients between 6-18 years of age. Expenses such as low-protein foods, examination fees, laboratory tests, medications, and transportation costs are paid by the patients themselves. None of the patients participating in the study were able to access BH4 treatment due to the high cost. The average economic damage was calculated to be €4374 and it was found that most of it (58% of the total damage) was related to formulas that did not contain phenylalanine. There was a positive correlation between patient age and economic harm. In patients aged 0-4 years, there was a negative correlation between disease control and economic harm to families [29]. In the studies we cited, the mean age was in different ranges (Wang et al. 2.2 years, Mlčoch et al. 14 years, Eijgelshoven et al. 11 years, MacDonald et al. 7 years). The distribution of the patient population in the studies by disease severity varies. The options available in each country's health care system vary. Charges for phenylalanine-free formula and low-protein products vary by country. Subgroups by treatment and diagnosis have not been compared in these studies. For all these reasons, studies may have reached different conclusions regarding economic harm.
The annual economic damage to the state was calculated in the lowest diet group and highest in the BH4 + diet group in our study (p <0.001). When all patients were considered, BH4 accounted for the largest portion of the state's economic damage, with medical food in second place and examination fees in third place. When comparing the diet and BH4+ diet groups, there was no significant difference in the economic harm to the state from medical foods (p= 0.168). There was no significant difference in economic harm to families between the diet group and the BH4+ diet group (p <0.9). This result indicates that administration of BH4 to patients who respond to tetrahydrobiopterin but require diet does not reduce the economic harm to families or the cost of medical nutrition, which is a major government expense. The combined use of medical nutrition and BH4 treatments has been shown to increase economic harm to the state.
When comparing the total economic damage of families according to treatment group, it was found that the damage was significantly lower in the BH4 group than in the diet group and the BH4 + diet group (p= 0.001). This suggests that low-protein products are an important contributor to economic harm to families. When comparing the economic harm caused to families by low-protein products, no significant difference was found between the diet and BH4+ diet groups (p= 0.78). In our study, low-protein products were the most important cause of non-medical economic harm to families in the diet and BH4+ diet groups; in the BH4 group, it was normal foods. In addition to food, travel costs were the most important cause of non-medical economic harm. The fact that the economic harm of families living outside Istanbul was significantly higher than that of families living in Istanbul supports this. The economic burden of breastfed patients was lower for both families and the state. This was an expected result, given the lower demand for medical infant formula and low-protein products. There was a weak negative correlation between phenylalanine intolerance and economic loss to the family. It is hypothesized that as phenylalanine intolerance decreases, economic harm increases as the proportion of families using low-protein products increases.
It was found that the economic damage was high in families with a high educational level of the father, but the educational level of the mother did not affect the economic damage. It was suggested that because of the patriarchal social structure of our country, fathers take a more active role in coping with the disease. Another factor affecting this could be the increase in income as fathers work and the level of education generally increases.
Families' loss of labor is an important cause of economic harm. While the average annual pocket expenditure of families was €1531±1173, the indirect losses due to the loss of productivity were calculated as €2125±1930 per year. Fifteen mothers had quit their jobs to take care of their children by themselves. Twenty parents, on the other hand, had problems with their jobs and changed jobs or were laid off because they frequently took leave to deal with illness. In the study by Macdonald et al [30] 49% of parents changed jobs due to illness.
The most important part of the financial support provided by the state to patients was home care support, the second most important was the motor vehicle tax deduction, and the third most important was food support. The median values were €2158 per year, €4196 per year, and €164 per year, respectively. The average support for home care was €2128±61 per year according to the Special Needs Report for Children and the average expenditure of all patients' families was calculated to be €1531±1173 per year. According to these calculations, home care support was sufficient for most of the patients' families (n=93, 78%) to fully compensate their families' economic losses (excluding indirect losses). However, only 10% of patients used this support. Eighteen families had just applied for the report and had not yet received support. The rest of the patients did not apply for this support for various reasons. Some families did not know enough about this support. Some families indicated that they were hesitant to request the report because they feared that their children would be classified as disabled, while other families indicated that they felt they could adequately meet their children's needs. The indirect harm to families was greater than the out-of-pocket costs. Forty-two families of patients had indirect economic losses, and the average was €2125±1930 per year, (€28-€7194). Adding the indirect economic losses to the family's out-of-pocket expenses, the average economic loss was €2281 per year, and home care support was sufficient to cover the total loss of 61% of patients. Forty patients benefited from government support for low-protein products. In the diet and BH4+ diet groups, the average annual expenditure on low-protein products was €1080±900, and the government fee for food averaged €154±27. This support was sufficient to cover only 14% of the price that families paid for low-protein products.
There were some limitations due to the method of the study. There was a significant difference when comparing the age of the tetrahydrobiopterin group and the diet group. It was not possible to form homogeneous groups in terms of age, as the selection of patients would lead to bias. There was no significant difference between the ages of the other groups. The families' non-medical economic losses and the economic support they received were determined using a questionnaire presented to the families. Some families were unwilling to declare their income and answer questions about asset value. The reliability of the information provided by the families may influence the results of the study. The families' economic losses due to food were determined from the weekly food records. The products used by the patients and their prices may change from time to time. The cost of feeding breastfed patients and infants is not consistent throughout the year. The calculated economic loss due to nutrients may not fully reflect reality. In our study, no financial compensation was calculated for the time spent treating the disease. There are few studies in the literature on the economic damage caused by the disease. Studies with larger patient groups could provide more precise re-sults about the economic impact of the disease.

5. Conclusions

Phenylketonuria is a disease that can be diagnosed early through newborn screening and is treatable. However, the management and treatment of the disease consti-tutes an economic burden on both the state and families. According to our study, ad-ministration of BH4 to patients who respond to tetrahydrobiopterin but require a diet does not reduce the economic harm to families or the cost of medical nutrition, which accounts for a large proportion of government expenditure. Government support for low-protein products was sufficient to cover only 14% of the price families paid for low-protein products. The economic damage to families can be reduced by including low-protein products in the scope of reimbursement and increasing the rate of economic support provided by the state. Facilitating access to special dietary products for phenylketonuria patients can help control the disease and prevent possible neurological sequelae. Our study also showed that loss of income and work-related problems are among the main problems faced by families. The results of the study indicate that families need more support.

Supplementary Materials

Table S1: Comparison of the state's economic damage by age groups; Table S2: Analysis of the state's economic damage in subgroups; Table S3: Non-medical economic damage to the families (exluding food fee), Table S4: Fees of low-protein foods; Table S5: Fees of normal foods.

Author Contributions

Conceptualization, M.K.S., A.C.A.Z., T.Z., M.S.C and E.K.; methodology, M.K.Ş, A.C.A.Z., T.Z., M.S.C. and E.K.; formal analysis, M.K.Ş and E.K.; investigation, M.K.Ş., A.C.A.Z., T.Z., M.S.C and E.K.; writing—original draft preparation, M.K.Ş. and E.K.; writing—review and editing, M.K.Ş. and E.K.; supervision,E.K.. All authors have read and agreed to the published version of the manuscript.

Funding

None.

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki and approved by the Ethics Committee of Istanbul University-Cerrahpaşa Cerrahpaşa Faculty of Medicine (Institutional approval number: 31584, date: 03.03.2020).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

The data is not publicly available, due to privacy restrictions. The data presented in this study are available on request from the corresponding author.

Acknowledgments

We thank all the participants for their valuable contributions to the study.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Mitchell JJ, Trakadis YJ, Scriver CR. Phenylalanine hydroxylase deficiency. Genetics in Medicine 2011, 13, 607–617. [CrossRef] [PubMed]
  2. Scriber CR. Hyperphenylalaninemia: phenylalanine hydroxylase deficiency. The metabolic and molecular bases of inherited disease. 2001; pp. 1667-1724.
  3. de Groot MJ, Hoeksma M, Blau N, Reijngoud DJ, van Spronsen FJ. Pathogenesis of cognitive dysfunction in phenylketonuria: Review of hypotheses. Mol Genet Metab. 2010, 99, 86-89. [CrossRef]
  4. Smith I, Beasley MG, Ades AE. Intelligence and quality of dietary treatment in phenylketonuria. Arch Dis Child. 1990, 65, 472–478. [CrossRef] [PubMed]
  5. Bodamer OA, Hoffmann GF, Lindner M. Expanded newborn screening in Europe 2007. J Inherit Metab Dis. 2007, 30, 439–444. [CrossRef] [PubMed]
  6. Loeber, JG. Neonatal screening in Europe; the situation in 2004. J Inherit Metab Dis. 2007, 30, 430–438. [Google Scholar] [CrossRef] [PubMed]
  7. Demirkol M, Çelik Ş, Gokcay G, et al. Expanded newborn screening experience in Istanbul. J Inherit Metab Dis. 2007, 30, 3.
  8. Tezel B, Dilli D, Bolat H, et al. The development and organization of newborn screening programs in Turkey. J Clin Lab Anal. 2014, 28, 63–69. [CrossRef] [PubMed]
  9. Halk Sağlığı Genel Müdürlüğü, Çocuk ve Ergen Sağlığı Dairesi Başkanlığı Yenidoğan Metabolik ve Endokrin Tarama Programı. Available online: https://hsgmdestek.saglik.gov.tr/depo/birimler/cocuk_ergen_db/NTP_Saglik_Personeli.pdf. (accessed on 09.07.2023).
  10. Blau N, Van Spronsen FJ, Levy HL. Phenylketonuria. The Lancet. 2010, 376, 1417–1427. [Google Scholar] [CrossRef] [PubMed]
  11. van Wegberg AMJ, MacDonald A, Ahring K, et al. The complete European guidelines on phenylketonuria: diagnosis and treatment. Orphanet J Rare Dis. 2017, 12, 162. [CrossRef]
  12. Blau, N. Genetics of Phenylketonuria: Then and Now. Hum Mutat. 2016, 37, 508–515. [Google Scholar] [CrossRef] [PubMed]
  13. Kure S, Shintaku H. Tetrahydrobipterin-responsive phenylalanine hydroxylase deficiency. J Hum Genet. 2019, 64, 67-71. [CrossRef]
  14. Blau N, Bélanger-Quintana A, Demirkol M, et al. Optimizing the use of sapropterin (BH4) in the management of phenylketonuria. Mol Genet Metab. 2009, 96, 158-163. [CrossRef]
  15. Levy H, Burton B, Cederbaum S, Scriver C. Recommendations for evaluation of responsiveness to tetrahydrobiopterin (BH4) in phenylketonuria and its use in treatment. Mol Genet Metab. 2007, 92, 287-291. [CrossRef]
  16. Soltanizadeh N, Mirmoghtadaie L. Strategies Used in Production of Phenylalanine-Free Foods for PKU Management. Compr Rev Food Sci Food Saf. 2014, 13, 287-299. [CrossRef]
  17. Mlčoch T, Puda R, Ješina P, Lhotáková M, Štěrbová Š, Doležal T. Dietary patterns, cost and compliance with low-protein diet of phenylketonuria and other inherited metabolic diseases. Eur J Clin Nutr. 2018, 72, 87-92. [CrossRef]
  18. Jaulent P, Charriere S, Feillet F, Douillard C, Fouilhoux A, Thobois S. Neurological manifestations in adults with phenylketonuria: new cases and review of the literature. J Neurol. 2020, 267, 531-542. [CrossRef]
  19. Schulpis K, Karikas G, Papakonstantinou E. Homocysteine and other vascular risk factors in patients with phenylketonuria on a diet. Acta Paediatr. 2007, 91, 905–909. [CrossRef]
  20. Ashe K, Kelso W, Farrand S, et al. Psychiatric and Cognitive Aspects of Phenylketonuria: The Limitations of Diet and Promise of New Treatments. Front Psychiatry. 2019, 10. [CrossRef]
  21. Sosyal Sigortalar ve Genel Sağlık Sigortası Kanunu Resmi Gazete 2006. Available online: https://www.resmigazete.gov.tr/eskiler/2006/06/20060616-1.htm. (accessed on 09.07.2023).
  22. Çocuklar için Özel Gereksinim Değerlendirmesi Hakkında Yönetmelik. Available online: https://www.resmigazete.gov.tr/eskiler/2019/02/20190220-1.htm. (accessed on 09.07.2023).
  23. Sosyal Güvenlik Kurumu Sağlık Uygulama Tebliği. Available online: https://www.mevzuat.gov.tr/mevzuat?MevzuatNo=17229&MevzuatTur=9&MevzuatTertip=5. (accessed on 09.07.2023).
  24. Engelli Bireyler için Bilgilendirme Rehberi. Available online: https://www.aile.gov.tr/media/131394/engelli_bireyler_icin_bilgilendirme_rehberi.pdf. (accessed on 09.07.2023).
  25. ESPKU. PKU: Closing the Gaps in Care. Available online: https://www.espku.org/wp-content/uploads/2015/06/PKU_report_FINAL_v2_nomarks.pdf. (accessed on 09.07.2023).
  26. Belanger-Quintana A, Dokoupil K, Gokmen-Ozel H, et al. Diet in phenylketonuria: a snapshot of special dietary costs and reimbursement systems in 10 international centers. Mol Genet Metab. 2012, 105, 390-394. [CrossRef]
  27. Bilginsoy C, Waitzman N, Leonard CO, Ernst SL. Living with phenylketonuria: Perspectives of patients and their families. J Inherit Metab Dis. 2005, 28, 639-649. [CrossRef]
  28. Blau N, Bélanger-Quintana A, Demirkol M, et al. Management of phenylketonuria in Europe: Survey results from 19 countries. Mol Genet Metab. 2010, 99, 109-115. [CrossRef]
  29. Wang L, Zou H, Ye F, et al. Household financial burden of phenylketonuria and its impact on treatment in China: a cross-sectional study. J Inherit Metab Dis. 2017, 40, 369-376. [CrossRef]
  30. MacDonald A, Smith TA, de Silva S, Alam V, van Loon JMT. The personal burden for caregivers of children with phenylketonuria: A cross-sectional study investigating time burden and costs in the UK. Mol Genet Metab Rep. 2016, 9, 1-5. [CrossRef]
  31. Eijgelshoven I, Demirdas S, Smith TA, van Loon JMT, Latour S, Bosch AM. The time consuming nature of phenylketonuria: a cross-sectional study investigating time burden and costs of phenylketonuria in the Netherlands. Mol Genet Metab. 2013, 109, 237-242. [CrossRef]
  32. Yucel IK, Seyahi E, Kasapcopur O, Arisoy N. Economic impact of juvenile idiopathic arthritis and familial Mediterranean fever. Rheumatol Int. 2012, 32, 1955–1962. [CrossRef] [PubMed]
Table 1. Distribution of diagnosis and treatment groups.
Table 1. Distribution of diagnosis and treatment groups.
Diagnosis Diet BH4 BH4+diet
Mild PKU, n 10 44 7
Classical PKU, n 40 0 18
Table 2. Annual economic burden on families and state.
Table 2. Annual economic burden on families and state.
Families State
Treatments (N) Mean± SD (per year) p value Mean± SD (per year) p value
Diet (50) €1680±1253 €7914±4930
BH4 (44) €1069±653 0.001* €20566±12465 < 0.001**
BH4+diet (25) €2047±1445 €37470±14628
All groups (119) €1531±1173 €18801±15345
* It is the p value of the Kruskal Wallis analysis of the economic damage of the families. ** It is the p value of the Kruskal Wallis analysis of the economic damage of the state.
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