METHODS: Data from the Malaysia Primary Immunodeficiency Network (MyPIN) with cases of CGD diagnosed from 1991 until 2016 were collated and analysed.
RESULTS: Twenty patients were diagnosed as CGD. Males (N = 13, 65%) outnumber females (N = 7, 35%). CGD is commonest amongst the Malays (65%) followed by the Chinese (15.0%), Indians (10.0%) and natives of Borneo (10.0%), reflecting the ethnic composition of the country. The mean age of diagnosis was 3.7 years. There was a positive family history in 40% of the cases. Abscess was the main presenting feature in 16 patients (80%) with one involving the brain. Pneumonia occurred in 10 (50%) and one with complicated bronchiectasis. Catalase-positive bacteria were the most commonly isolated pathogen with Chromobacterium violaceum predominating (N = 5, 25%) with consequent high mortality (N = 4, 80%). All CGD patients with C. violaceum infection displayed CD4 + (T helper cells) lymphopenia.
CONCLUSION: This study has shown CGD occurs in the major ethnic groups of Malaysia. To the best of our knowledge, this is the first and the largest series of chronic granulomatous disease in South East Asia which may be reflective of similar clinical pattern in the region. C. violaceum infection is associated with a higher mortality in CGD patients in Malaysia. All the CGD patients with C. violaceum infection in this patient series displayed CD4 + (T helper) lymphopenia. We recorded rare clinical manifestation of CGD viz. brain abscess and bronchiectasis.
METHODS: Online databases (PubMed, Ovid MEDLINE and Scopus), reference lists of articles identified, and grey literature (Malaysian Ministry of Health website, WHO website) were systematically searched for relevant literature on pneumococcal serotype distribution across Malaysia up to 10th November 2020. No lower date limit was set to maximise the number of target reports returned. Results of serotypes were split by age categories, including ≤5 years, > 5 years and unreported for those that did not specify.
RESULTS: The search returned 18 relevant results, with a total of 2040 isolates. The most common serotypes across all disease types were 19F (n = 313, 15.3% [95%CI: 13.8-17.0]), 23F (n = 166, 8.1% [95%CI: 7.0-9.4]), 14 (n = 166, 8.1% [95%CI: 7.0-9.4]), 6B (n = 163, 8.0% [95%CI: 6.9-9.2]) and 19A (n = 138, 6.8% [95%CI: 5.8-7.9]).
CONCLUSION: Four of the most common serotypes across all isolate sources in Malaysia are covered by PCV10, while PCV13 provides greater serotype coverage in comparison to PCV10. There is still a need for surveillance studies, particularly those investigating serotypes in children under 5 years of age, to monitor vaccine effectiveness and pneumococcal population dynamic following implementation of PCV10 into routine immunisation.
METHODS: Observational study conducted on 68 patients (1- 18 yrs.) with physical status of ASA II during methotrexate injection with MAC at the RSUP dr. Sardjito. The depth of anaesthesia was monitored with Observer's Alertness Assessment Sedation Scale (OAAS) every two minutes. Consciousness was defined as OAAS=5, or if there is volunteer movement of patients. The result was analysed and categorised according to age, sex, physical status, Body Mass Index (BMI) and anaesthesia's medication of patients.
RESULTS: Positive consciousness in paediatric patients based on OASS score at 2-minute and 4-minutes was 26.5% and 3.2% respectively, and was rescued by additional propofol 2mg/kg body weight.
CONCLUSION: The incidence of paediatric consciousness in patients during methotrexate injection with Monitored Anaesthesia Care (MAC) in the Sardjito General Hospital is 26.5% (2-minute after induction) and 3.2% (4-minute after induction), and this is considerably high thus needing futher prevention.
METHODS: This observational research used a spatiotemporal approach. We obtained CRS and rubella surveillance data from Dr. Sardjito Hospital, Provincial, and District Health Offices in Yogyakarta, Indonesia during January-April 2019. The home addresses of rubella and CRS cases were geocoded using the Global Positioning System. Average of the nearest neighbour and space-time permutation analyses were conducted to discover the spatiotemporal patterns and clusters of rubella and CRS cases.
RESULTS: The peak of rubella cases occurred in 2017 (IR: 22.3 per 100,000 population). Twelve confirmed cases of CRS were found in the 2016-2018 period (IR: 0.05 per 1,000 live births). The occurrence of CRS in Yogyakarta was detected 6-8 months after the increase and peak of rubella cases. The spatiotemporal analysis showed that rubella cases were mostly clustered, while CRS cases were distributed in a dispersed pattern. Rubella cases were found within a buffer zone of 2.5 km from any CRS case.
CONCLUSIONS: Rubella cases were spatiotemporally associated with the occurrence of CRS in Yogyakarta. We recommend strengthening the surveillance system of CRS and rubella cases in order to contain any further spreading of the disease.
METHODS: Medical records of patients who were treated for LM in the Paediatric Surgical Centre Universitas Gadjah Mada from January 2015 to January 2019 were reviewed. Scoring systems were used to assess the outcomes, including reduction of size, problems of aesthetics, functional problems, complications, necessity of further interventions, and interventions' frequencies.
RESULTS: During the four-year study, we included 31 children, consisting of 6, 5, and 20 patients in Groups I, II, and III, respectively. The total score did not significantly differ between Groups I, II, and III (14.67±2.80 vs. 13.40±2.07 vs. 12.50±1.47, respectively; p=0.056). Group II scored better in aesthetic problems than other groups (p=0.001), Group III scored higher in necessity of further interventions compared to the other groups (p=0.026), and Group I was higher in interventions' frequencies than the other groups (p<0.001). However, there were no significant differences in reduction of size, functional problems, and complications among groups (p=0.554, 0.151, and 0.076, respectively).
CONCLUSIONS: There is no significant different effect of the three modalities treatment for LM, although one group might have more beneficial effects compared with the other groups due to different scoring system parameters. Further multicentre and prospective cohort studies with a larger number of patients are necessary to establish the existence and extent of our findings.
RESEARCH DESIGN AND METHODS: 71 children with diabetes mellitus (43 diagnosed before 6 months of age, and 28 diagnosed between 6 months and 3 years of age who were negative for diabetes-associated autoantibodies) underwent genetic testing with a combination strategy of Sanger sequencing, chromosome microarray analysis and whole exome sequencing. They were categorized into four groups according to the age of onset of diabetes (at or less than 6 months, 6 to 12 months, 1 to 2 years, 2 to 3 years) to investigate the correlation between genotype and phenotype.
RESULTS: Genetic abnormalities were identified in 39 of 71 patients (54.93%), namely KCNJ11 (22), ABCC8 (3), GCK (3), INS (3), BSCL2 (1) and chromosome abnormalities (7). The majority (81.40%, 35/43) of neonatal diabetes diagnosed less than 6 months of age and 33.33% (3/9) of infantile cases diagnosed between 6 and 12 months of age had a genetic cause identified. Only 11.11% (1/9) of cases diagnosed between 2 and 3 years of age were found to have a genetic cause, and none of the 10 patients diagnosed between 1 and 2 years had a positive result in the genetic analysis. Vast majority or 90.48% (19/21) of patients with KCNJ11 (19) or ABCC8 (2) variants had successful switch trial from insulin to oral sulfonylurea.
CONCLUSIONS: This study suggests that genetic testing should be given priority in diabetes cases diagnosed before 6 months of age, as well as those diagnosed between 6 and 12 months of age who were negative for diabetes-associated autoantibodies. This study also indicates significant impact on therapy with genetic cause confirmation.
METHODS: This was a cross-sectional study. A total of 92 preschool children (4-6 years) were invited to participate with their parents/guardians. Nine parameters of toothbrushing behaviour were assessed from parental responses (questionnaire) and observation of child and parents/guardians (video recording). Oral examination included recording plaque, gingival and dental caries indices. BORIS software was used to assess toothbrushing parameters and Smart PLS was used to perform association with a second-generation multivariate analysis to create models with and without confounding factors.
RESULTS: Girls were slightly more (53%) than boys (47%). Children aged 4 years were slightly more in number (38%), followed by 6-year-olds and 5-year-olds. Nearly, 90% parents had tertiary education and 46% had more than 2 children. Differences were recorded in the reported and observed behaviour. Thirty-five percent parents/guardians reported using pea-size toothpaste amount but only 28% were observed. Forty percent reported to brush for 30 s-1 min, however 51% were observed to brush for 1-2 min. Half the children were observed to use fluoridated toothpaste (F preschool children.
CONCLUSIONS: Preschool children's toothbrushing behaviour was inadequate while their oral health was poor, with a significant association between the two parameters.