STUDY DESIGN AND METHODS: This was a cross-sectional study conducted in Paediatric Nephrology Clinic, Hospital Selayang from November 2016 to November 2017. Seventy-eight parents were recruited based on universal sampling. Selfadministered questionnaire in Bahasa Malaysia and English was designed through focus group discussion with five subject matter experts and validated through content validity. Data was analysed using IBM SPSS Statistics 23.0.
RESULTS: Majority of parents or guardians (91%) were able to answer more than 50% of the questions correctly. Of these, 56% were able to answer more than 75% of the questions correctly. A 'cut-off' of 75% was defined as good knowledge. Parents of children with frequent relapses had higher parental knowledge and this was statistically significant (p=0.025).
CONCLUSION: Parental knowledge on nephrotic syndrome and disease relapse was still inadequate as only 56% parents had good knowledge. The main areas of deficit in parental knowledge were related to medications, infections, home urine dipstick monitoring, and recognition of warning signs during relapse.
METHODS: The participants (aged 6-18 years) were 23 patients raised as males and 7 patients raised as females. Control data were obtained from representatives of the patients' siblings matched for age and gender. The Pediatric Quality of Life InventoryTM Version 4.0 (PedsQL) Generic Core Scales were used as the study tool.
RESULTS: In comparison with the reference data, the patient group had significantly lower overall PedsQL (p < 0.01) and school functioning (p < 0.01) scores. Also, the total PedsQL score was significantly lower in patients with DSD who were of female social sex as compared to the controls who were females. Family income, surgical procedures, degree of virilization, and mode of puberty did not influence the PedsQL scores.
CONCLUSION: This study revealed a poorer quality of life for patients with DSD as compared to the age-matched control group. This highlights the need for a skilled multidisciplinary team to manage this group of patients.
METHODS: A cross-sectional study was conducted over 6 months in the two main tertiary centres for CAH patients in Malaysia. Participants including 59 female-raised CAH patients (mean age ± SD = 16.3 ± 4.2 years, range 10-28 years) compared to 57 age-matched female diabetic patients (mean age ± SD = 16.5 ± 3.4 years, range 10-26 years). Socio-demographic and medical profiles was obtained through semi-structured interviews. HRQOL of participants were evaluated utilising validated, Malay translated questionnaires which were age appropriate: Pediatric Quality of Life Inventory (PedsQL v4.0) scales for Child (8-12) and Adolescent (13-18) and Medical Outcome Survey 36-item Short Form version. These were then compared to the diabetic controls.
RESULTS: The CAH participants consisted of children (ages 10-12 years, n = 12), adolescents (ages 13-17 years, n = 29) and adults (≥ 18 years, n = 18). The majority were Malays (64.4%) and had salt-wasting CAH (67.8%). There were no significant differences between the total mean score of the HRQOL of the combined children and adolescents CAH group (total mean score ± SD = 81.6 ± 17.9, 95% CI = 75.6-87.6) when compared to age-matched diabetic patients (total mean score ± SD = 80.8 ± 11.0, 95% CI = 77.0-84.5, P = 0.81, effect size = 0.05); no significant difference between the adult CAH and diabetic controls in the physical [median score (IQR) CAH vs diabetics; 49.3 (11.4) vs. 50.2 (6.1), P = 0.60, effect size = 0.09] and the mental composite scores [median score (IQR) CAH vs. diabetics; 47.8 (14.1) vs. 50.0 (10.8), P = 0.93, effect size = 0.01].
CONCLUSIONS: The HRQOL of the Malaysian CAH cohort were comparable to the diabetic controls.
METHOD: Targeted sequencing of fourteen genes panel was performed to identify the mutations in 29 OI patients with type I, III, IV and V disease. The mutations were determined using Ion Torrent Suite software version 5 and variant annotation was conducted using ANNOVAR. The identified mutations were confirmed using Sanger sequencing and in silico analysis was performed to evaluate the effects of the candidate mutations at protein level.
RESULTS: Majority of patients had mutations in collagen genes, 48% (n = 14) in COL1A1 and 14% (n = 4) in COL1A2. Type I OI was caused by quantitative mutations in COL1A1 whereas most of type III and IV were due to qualitative mutations in both of the collagen genes. Those with quantitative mutations had milder clinical severity compared to qualitative mutations in terms of dentinogenesis imperfecta (DI), bone deformity and the ability to walk with aid. Furthermore, a few patients (28%, n = 8) had mutations in IFITM5, BMP1, P3H1 and SERPINF1.
CONCLUSION: Majority of our OI patients have mutations in collagen genes, similar to other OI populations worldwide. Genotype-phenotype analysis revealed that qualitative mutations had more severe clinical characteristics compared to quantitative mutations. It is crucial to identify the causative mutations and the clinical severity of OI patients may be predicted based on the types of mutations.