METHODS: This population-based and observational cohort study reviewed pediatric RHD patients (0-18 years) from the Sabah Pediatric Rheumatic Heart Registry from 2015 till 2018.
RESULTS: A total of 188 RHD were reviewed with 120 new cases. The incidence of RHD is 2.19 [95% confidence interval (CI): 1.83-2.61] per 100 000 population, with a rising trend over time. Meanwhile, the prevalence of RHD was 13.78 (95% CI: 11.92-15.86) per 100 000 pediatric population. The majority of patients were from indigenous groups (59.0%), male (56.4%) with a mean age of 14.3 (3.31) years. About 77.9% had the lowest household income, and a significant proportion lived in overcrowded conditions. At diagnosis, 59% were diagnosed with severe RHD. There is heightened risk but no statistical significance between modifiable factors (low weight and height percentile at diagnosis, lowest income group, renting a house, overcrowding and healthcare access of more than 5 km) with severe RHD. Severe RHD is significantly associated with risk for intervention (p = 0.016). Sixteen (13.8%) patients required surgical intervention. About 97.6% of patients were on intramuscular benzathine penicillin G with 84.5% compliance.
CONCLUSION: The rising prevalence and incidence of pediatric RHD in Sabah, with the most being severe RHD at diagnosis, necessitates the development of an echocardiographic screening and a comprehensive national disease program.
OBJECTIVE: To determine the use of Subjective Global Nutrition Assessment (SGNA) as a nutrition assessment tool for children with IDD in comparison to the anthropometric indicators.
METHODS: This cross-sectional study was conducted in local community settings. IDD included in this study were autism spectrum disorder (ASD), Down syndrome (DS) and cerebral palsy (CP). SGNA and anthropometry measurements including weight, height, mid-upper arm circumference and triceps skinfolds were performed on 93 children with IDD (40 ASD, 26 DS and 27 CP) aged 5-18 years. Cohen's Kappa, sensitivity, specificity and its 95% confidence interval were calculated between SGNA and anthropometric indicators for the agreement in determining malnutrition status of the children.
RESULTS: SGNA identified a lower prevalence of malnutrition in children with IDD in comparison to the use of anthropometric indicators. SGNA obtained a moderate-to-fair agreement (above 80% agreement, except height-for-age parameter) and sensitivity (25.71-59.09%) against the use of a single anthropometric indicator in identifying the malnutrition status of the children.
CONCLUSIONS: The use of SGNA as an adjunct to body mass index-for-age as an anthropometric measurement for diagnosing malnutrition in children and adolescents with IDD is recommended.
METHODS: The inclusion criteria were normal term neonates (gestation ≥ 37 weeks). Parents/care-givers were interviewed to obtain data on demography, clinical problems, feeding practice and age when first TSB was measured. Polymerase chain reaction-restriction fragment length polymorphism method was used to detect common G6PD, UGT1A1 and SLCO1B1 variants on each neonate's dry blood specimens.
RESULTS: Of 1121 jaundiced neonates recruited, 232 had SNH. Logistic regression analysis showed that age (in days) when first TSB was measured [adjusted odds ratio (aOR) = 1.395; 95% confidence interval (CI) 1.094-1.779], age (in days) of admission (aOR = 1.127; 95% CI 1.007-1.260) and genetic mutant UGT1A1 promoter A(TA)7TAA (aOR = 4.900; 95% CI 3.103-7.739), UGT1A1 c.686C>A (aOR = 6.095; 95% CI 1.549-23.985), SLCO1B1 c.388G>A (aOR = 1.807; 95% CI 1.242-2.629) and G6PD variants and/or abnormal G6PD screening test (aOR = 2.077; 95% CI 1.025-4.209) were significantly associated with SNH.
CONCLUSION: Genetic predisposition, and delayed measuring first TSB and commencing phototherapy increased risk of SNH.
METHODS: This cross-sectional study recruited children below 18 years old admitting into general paediatric ward in a public hospital. The PNST and Subjective Global Nutritional Assessment (SGNA) were performed on 100 children (64 boys and 36 girls). The objective measurements include anthropometry (z-scores for weight, height and body mass index), dietary history and biochemical markers were measured. These were used to classify malnutrition as per Academy of Nutrition and Dietetics/American Society of Parental and Enteral Nutrition (AND/ASPEN) Consensus Statement for identification of paediatric malnutrition and WHO growth standards for children. Cohen's kappa was computed to report the level of agreement.
RESULTS: The PNST identified 57% of hospitalized children as being at risk of malnutrition. In this study, there was a stronger agreement between PNST with AND/ASPEN malnutrition classification (k = 0.602) as when PNST was compared with WHO (k = 0.225) and SGNA (k = 0.431). The PNST shows higher specificity (85.29%) and sensitivity (78.79%) when compared with AND/ASPEN than with WHO malnutrition criteria (55.81% specificity and 66.67% sensitivity).
CONCLUSION: This study showed the usefulness of routine use of PNST for screening the malnutrition risk of hospitalized children in Malaysian tertiary hospital settings.
Methods: A cross-sectional study was carried out in two general paediatric wards in a public hospital. SGNA and STAMP were performed on 82 children (52 boys and 30 girls) of age 1-7 years. The scores from both methods were compared against Academy of Nutrition and Dietetics/American Society of Parental and Enteral Nutrition Consensus Statement for identification of paediatric malnutrition. The objective measurements include anthropometry (weight, height and mid-arm circumference), dietary intake and biochemical markers (C-reactive protein, total lymphocytes and serum albumin). Kappa agreement between methods, sensitivity, specificity and cross-classification were computed.
Results: SGNA and STAMP identified 45% and 79% of the children to be at risk of malnutrition, respectively. Using a compendium of objective parameters, 46% of the children were confirmed to be malnourished. The agreement between SGNA and objective measurements (k = 0.337) was stronger than between STAMP and objective measurements (k = 0.052) in evaluating the nutritional status of hospitalized children. SGNA also has a 4-fold higher specificity (70.45%) than STAMP (18.18%) in detecting children who are malnourished.
Conclusion: SGNA is a valid nutrition assessment tool in diagnosing malnutrition status among hospitalized children in Malaysia. The discrepancy in specificity values between the two methods explains the distinguished roles between SGNA and STAMP. The use of STAMP will have to be followed up with a more valid tool such as SGNA to verify the actual nutrition status of the paediatric population.