METHODS: This observational study involved 50 patients recruited from the neurosurgical ward. Method of 24 h dietary recall was utilized and combined with self-administered food diaries for 2-8 days. Food consumptions including calorie intake and protein intake were analyzed using Nutritionist PRO™ (Woodinville, USA) and manual calculation based on the Malaysian food composition database (2015).

RESULTS: Patients consisted of 56% males and 44% females with the median age of 28.0 (IQR = 22.8-36.5) years, of which 92% were diagnosed as mild TBI and the remaining (8%) as moderate TBI. The Glasgow coma scale (GCS) was adopted to classify TBI severity with the score 13-15 being mild and 9-12 being moderate. The median length of hospital stay was 2 (IQR = 2.0-3.3) days. Calorie and protein intake improved significantly from day 1 to discharge day. However, the intake during discharge day was still considered as suboptimal, i.e. 75% of calorie requirement, whilst the median protein intake was only 61.3% relative to protein requirement. Moreover, the average percentages of calorie and protein intakes throughout hospitalization were remarkably lower, i.e. 52.2% and 41.0%, respectively.

AIM: This study aims to investigate the genetic polymorphisms of CYP3A5 among the Orang Asli in Peninsular Malaysia using a next generation sequencing platform.

METHODS: Genomic DNAs were extracted from blood samples of the three main Orang Asli tribes and whole-genome sequencing was performed.

RESULTS: A total of 61 single nucleotide polymorphisms were identified and all the SNPs were located in introns except rs15524, which is in the 3'UTR, and 11 of these polymorphisms were novel. Two allelic variants and three genotypes were identified in the Orang Asli. The major allelic variant was the non-functional CYP3A5*3 (66.4%). The percentages of Orang Asli with CYP3A5*3/*3 (47.2%) and CYP3A5*1/*3 (38.1%) genotypes are more than twice the percentage of Orang Asli with CYP3A5*1/*1 (14.8%) genotype. Almost half of the Orang Asli harboured CYP3A5 non-expressor genotype (CYP3A5*3/*3).

METHODS: Genomic DNAs were extracted from the blood samples followed by whole-genome sequencing. The reads were aligned to the reference human genome hg19 and variants in the CYP2D6 gene were analyzed. CYP2D6*5 and duplication of CYP2D6 were analyzed using previously established methods.

RESULTS: A total of 72 single nucleotide polymorphisms were identified. CYP2D6*1, *2, *4, *5, *10,*41, and duplication of the gene were found in the Orang Asli, whereby CYP2D6*2 and *41 alleles are reported for the first time in the Malaysian population.

METHODS: This systematic review will be based on the review of original articles on the impact of kiddie packs on smoking. There is no restriction on the publication dates. The Cochrane Central Register of Controlled Trials, PubMed, EMBASE, Web of Science and Scopus will be searched to retrieve potential original articles. Additional records identified through other sources: Google Scholar, as well as Journal of Substance Use and Tobacco Control, are also to be searched. These will include original articles in any language which included all study designs (randomised controlled trials, quasi experimental and experimental studies, observational cross-sectional and cohort studies) comparing kiddie packs with regular cigarette packs. The primary outcomes of interest will be initiation of smoking and urge/tendency to buy cigarettes in the general population and attempts to reduce cigarette consumption among current smokers. Secondary outcomes will be the prevalence of smoking using kiddie packs among the current smokers.

DISCUSSION: This systematic review will provide evidence to support the impact of kiddie packs on smoking in terms of smoking initiation, smoking prevalence, urge/tendency to purchase cigarettes and attempts to reduce cigarette consumption. The findings from this review could be helpful to policymakers in regulating kiddie packs to control the consumption of tobacco.

OBJECTIVE: To demonstrate Malaysia's experience in implementing ICD-11, from data collection to downstream data use applications.

METHOD AND IMPLEMENTATION: We describe improvements to existing data source systems and downstream data applications. For non-HIS and HIS (ICD-10) systems, data were manually entered into the health management information system equipped with ICD-11 or automatically mapped from ICD-10 to ICD-11. Following these system improvements, we collected and reported ICD-11 data from all hospitals nationwide, regardless of the individual systems' status in ICD-11 use.

DISCUSSION: Lessons learnt related to legacy systems; ICD-11 releases and system updates; mapping; reporting; human resources and related applications.

CONCLUSION: With careful planning, standardisation of the collection and use of ICD-11 data can be accomplished with limited resources and in a complex environment with heterogeneous systems.

METHODS: Using a cross-sectional study design, body weight and height were measured, and BMI was calculated and classified using WHO BMI-for-age Z-score. Data was obtained using the National Fitness Standard (SEGAK) assessment, which was uploaded in a specific Health Monitoring System (HEMS).