Depression and anxiety among parents of phenylketonuria children.

OBJECTIVE: To investigate the existence of depression and/or anxiety with underlying risk factors among parents of children with classical phenylketonuria (PKU). METHODS: This cross-sectional study was conducted in the Division of Pediatric Metabolism, Ankara Children`s Hospital, Dokuz Eylul University, Kirikkale University, and Erzurum Local Research Hospital, Turkey, between January and July 2014. Parents of 61 patients and 36 healthy controls completed the self-report questionnaires. We used Beck Depression Inventory (BDI) to assess the parental depression and State-Trait Anxiety Inventory S-T (STAI S-T) to assess parental anxiety. RESULTS: Depression and anxiety scores were significantly higher in the case group (BDI: 12.3 ± 9.1; STAI-S: 38.2 ± 9.6; STAI-T: 43.2 ± 6.9) than controls (BDI: 5.4 ± 4.1 p=0.000; STAI-S: 31.8 ± 7.6 p=0.001; STAI-T: 37.0 ± 7.2 p=0.000). Mothers of the patients had higher scores than the other parental groups (BDI: p=0.000, STAI-S: p=0.001 and STAI-T: p=0.000). Logistic regression analysis showed that low educational level of the parent was the only independent factor for depression (OR: 9.96, 95% CI: 1.89-52.35, p=0.007) and state anxiety (OR: 6.99, 95% CI: 1.22-40.48, p=0.030) in the case group. CONCLUSION: A subset of parents with PKU patients have an anxiety or depressive disorder. Supportive services dealing with the parents of chronically ill children such as PKU are needed in order to reduce the level of anxiety.

NMR-Based Screening for Inborn Errors of Metabolism: Initial Results from a Study on Turkish Neonates.

Approximately 1 in 400 neonates in Turkey is affected by inherited metabolic diseases. This high prevalence is at least in part due to consanguineous marriages. Standard screening in Turkey now covers only three metabolic diseases (phenylketonuria, congenital hypothyroidism, and biotinidase deficiency). Once symptoms have developed, tandem-MS can be used, although this currently covers only up to 40 metabolites. NMR potentially offers a rapid and versatile alternative.We conducted a multi-center clinical study in 14 clinical centers in Turkey. Urine samples from 989 neonates were collected and investigated by using NMR spectroscopy in two different laboratories. The primary objective of the present study was to explore the range of variation of concentration and chemical shifts of specific metabolites without clinically relevant findings that can be detected in the urine of Turkish neonates. The secondary objective was the integration of the results from a healthy reference population of neonates into an NMR database, for routine and completely automatic screening of congenital metabolic diseases.Both targeted and untargeted analyses were performed on the data. Targeted analysis was aimed at 65 metabolites. Limits of detection and quantitation were determined by generating urine spectra, in which known concentrations of the analytes were added electronically as well as by real spiking. Untargeted analysis involved analysis of the whole spectrum for abnormal features, using statistical procedures, including principal component analysis. Outliers were eliminated by model building. Untargeted analysis was used to detect known and unknown compounds and jaundice, proteinuria, and acidemia. The results will be used to establish a database to detect pathological concentration ranges and for routine screening.