Background and Objective: Periapical inflammation on visual interpretation, especially in conditions of early inflammation, is very dependent on visual acuity. Visual ability can only detect if the inflammatory condition in the periapical area is more than 30%. This study reviewed the use of fractal dimension (FD) for quantitative assessment radiographs in periapical inflammation. Methods: The search was performed using PubMed, Web of Science, and Scopus databases. The inclusion criteria were clinical research, the area was in the periapical inflammation, used the periapical radiograph, measured the fractal dimension in human bone, the article studies were in the English language. There was no restriction for publication date. Results: Five articles were found in which fractal dimension was applied for the assessment of periapical lesions visually indiscernible in radiographs, for evaluation of apical inflammation, for imaging diagnosis of the periapical lesion, for analysis of trabecular bone, and for analysis of trabecular bone structure around the bone of periapical inflammation. Various sizes and sites of the regions of interest were used to evaluate the bone structure of periapical inflammation with fractal dimension. Conclusion Fractal dimension in Dentistry has been widely applied to the study of images. Periapical radiographs were the most frequently used. The Image J software and the fractal analysis method were extensively adopted in the studies reviewed herein. Further studies are encouraged to improve the use of fractal dimension in assessing quantitative radiographs in periapical inflammation.

Mullerian agenesis or Mayer-Rokitansky-Kuster-Hauser Syndrome (MRKH) Type-II is a congenital defect in the Mullerian duct that results in the absence of a uterus in women. The aetiology of this syndrome is unknown and has been considered a sporadic genetic disease. MRKH, together with anorectal anomaly, is an extremely rare condition and has only been reported in a few cases without any information on genetic analysis. This study investigated the mutational profile of a girl diagnosed with MRKH and anorectal anomalies with rectovaginal fistula. The whole exome sequencing (WES) trio-genetic analysis of a 5-year-old Malaysian girl diagnosed with MRKH (having anorectal anomaly with rectovaginal fistula) was performed together with her normal parents, using the Ion AmpliSeq Exome RDY kit (ThermoFisher Scientific, USA). Data were analysed using Torrent Suite v.5.0.4 and annotated using ANNOVAR. Single nucleotide polymorphisms (SNPs) with an allele frequency >0.01 were excluded, and the remaining variants were filtered based on de novo mutations, autosomal recessive, and autosomal recessive genetic traits. Related genes were analysed by biological pathway analysis (g:Profiler) and protein-protein interaction (HIPPIE v.2.3, STRING v.11.5, dan GeneMANIA). A total of 36 mutations were identified, and two of them, the LHX5 (p.P358Q), inherited from the father, and CFTR (p.R1158X), inherited from the mother. There were 28 de-novo mutations from 28 genes. All genes were involved in 27 biological processes that connected with 23 interactions, and are likely to cause MRKH syndrome in this patient.

Insulin degludec/insulin aspart (IDegAsp) co-formulation provides both basal and mealtime glycaemic control in a single injection. The glucose level-lowering efficacy of IDegAsp is reported to be superior or non-inferior to that of the currently available insulin therapies with a lower rate of overall hypoglycaemia and nocturnal hypoglycaemia. An expert panel from Malaysia aims to provide insights into the utilisation of IDegAsp across a broad range of patients with type 2 diabetes mellitus (i.e. treatment-naïve or insulin-naïve patients or patients receiving treatment intensification from basal-only regimens, premixed insulin and basal–bolus insulin therapy). IDegAsp can be initiated as once-daily dosing for the main meal with the largest carbohydrate content with weekly dose adjustments based on patient response. A lower starting dose is recommended for patients with cardiac or renal comorbidities. Dose intensification with IDegAsp may warrant splitting into twice-daily dosing. IDegAsp twice-daily dosing does not need to be split at a 50:50 ratio but should be adjusted to match the carbohydrate content of meals. The treatment of patients choosing to fast during Ramadan should be switched to IDegAsp early before Ramadan, as a longer duration of titration leads to better glycated haemoglobin level reductions. The pre-Ramadan breakfast/lunch insulin dose can be reduced by 30%–50% and taken during sahur, while the pre-Ramadan dinner dose can be taken without any change during iftar. Education on the main meal concept is important, as carbohydrates are present in almost all meals. Patients should not have a misconception of consuming more carbohydrates while taking IDegAsp.
insulin degludec [Supplementary Concept] ; Insulin Aspart ; Glucose ; Hypoglycaemia ; Diabetes Mellitus, Type 2

Leptospirosis is a zoonotic disease caused by bacteria of the genus Leptospira and most often acquired through contact with environments contaminated with leptospires shed in the urine of infected mammals. In urban environment, rodents are well-known as the main carriers of this bacteria, however there were no intensive study on the population structure of these animals, and how it associated with this disease. Hence, we use a case study from an outbreak in a residential area in Selangor, Malaysia, to investigate how community structure of small mammals, associated with the prevalence of Leptospira. One hundred cage traps were placed randomly in and around these houses in five phases with two months interval for a year. Community structures (species, sex, and age) were assigned for each individual, prior to screening for pathogenic Leptospira, using a partial lipL32 gene from the kidney samples. 185 small mammals from four species were captured, Rattus norvegicus (74.5%, N=138), R. rattus (20%, N=37), Tupaia glis (5%, N=9), and Suncus murinus (0.5%, N=1). From this number, 29 individuals were found PCR positive for pathogenic Leptospira (R. norvegicus, N=20; R. rattus, N=6; T. glis, N=2; S. murinus, N=1). The study shows that Leptospira occurrence in the small mammals were significantly correlated to age category and sampling phases, with Spearman Correlation (rs) p=0.02 and p=0.04 respectively. Adult individuals were significantly more prevalent with Leptospira infection, whereby March and June were found to associate with higher Leptospira prevalent among the small mammals, potentially coincide with low rainfall and relative humidity level. This information is important in designing a specific control method for rodents in Leptospira outbreak areas. In addition, intensive sampling and regular cleaning effort were found to significantly reduce the small mammal Leptospira reservoir, thus should be implemented in intervention strategies in the urban environment.

Introduction: Prediabetes, typically defined as blood glucose levels above normal but below diabetes thresholds, denotes a risk state that confers a high chance of developing diabetes. Asians, particularly the Southeast Asian population, may have a higher genetic predisposition to diabetes and increased exposure to environmental and social risk factors. Malaysia alone was home to 3.4 million people with diabetes in 2017; the figure is estimated to reach 6.1 million by 2045. Developing strategies for early interventions to treat prediabetes and preventing the development of overt diabetes and subsequent cardiovascular and microvascular complications are therefore important. Methods: An expert panel comprising regional experts was convened in Kuala Lumpur, for a one-day meeting, to develop a document on prediabetes management in Malaysia. The expert panel comprised renowned subject-matter experts and specialists in diabetes and endocrinology, primary-care physicians, as well as academicians with relevant expertise. Results: Fifteen key clinical statements were proposed. The expert panel reached agreements on several important issues related to the management of prediabetes providing recommendations on the screening, diagnosis, lifestyle and pharmacological management of prediabetes. The expert panel also proposed changes in forthcoming clinical practice guidelines and suggested that the government should advocate early screening, detection, and intensive management of prediabetes. Conclusion: This document provides a comprehensive approach to the management of prediabetes in Malaysia in their daily activities and offer help in improving government policies and the decision-making process.

Emanuel syndrome, also referred to as supernumerary der(22) or t(11;22) syndrome, is a rare genomic syndrome. Patients are normally presented with multiple congenital anomalies and severe developmental disabilities. Affected newborns usually carry a derivative chromosome 22 inherited from either parent, which stems from a balanced translocation between chromosomes 11 and 22. Unfortunately, identification of Emanuel syndrome carriers is difficult as balanced translocations do not typically present symptoms. We identified two patients diagnosed as Emanuel syndrome with identical chromosomal aberration: 47,XX,+der(22)t(11;22)(q24;q12.1)mat karyotype but presenting variable phenotypic features. Emanuel syndrome patients present variable phenotypes and karyotypes have also been inconsistent albeit the existence of a derivative chromosome 22. Our data suggests that there may exist accompanying genetic aberrations which influence the outcome of Emanuel syndrome phenotypes but it should be cautioned that more patient observations, diagnostic data and research is required before conclusions can be drawn on definitive karyotypic-phenotypic correlations.

Artificial neural networks (ANNs) have been used in a wide variety of real-world applications and it emerges as a promising field across various branches of medicine. This review aims to identify the role of ANNs in spinal diseases. Literature were searched from electronic databases of Scopus and Medline from 1993 to 2020 with English publications reported on the application of ANNs in spinal diseases. The search strategy was set as the combinations of the following keywords: “artificial neural networks,” “spine,” “back pain,” “prognosis,” “grading,” “classification,” “prediction,” “segmentation,” “biomechanics,” “deep learning,” and “imaging.” The main findings of the included studies were summarized, with an emphasis on the recent advances in spinal diseases and its application in the diagnostic and prognostic procedures. According to the search strategy, a set of 3,653 articles were retrieved from Medline and Scopus databases. After careful evaluation of the abstracts, the full texts of 89 eligible papers were further examined, of which 79 articles satisfied the inclusion criteria of this review. Our review indicates several applications of ANNs in the management of spinal diseases including (1) diagnosis and assessment of spinal disease progression in the patients with low back pain, perioperative complications, and readmission rate following spine surgery; (2) enhancement of the clinically relevant information extracted from radiographic images to predict Pfirrmann grades, Modic changes, and spinal stenosis grades on magnetic resonance images automatically; (3) prediction of outcomes in lumbar spinal stenosis, lumbar disc herniation and patient-reported outcomes in lumbar fusion surgery, and preoperative planning and intraoperative assistance; and (4) its application in the biomechanical assessment of spinal diseases. The evidence suggests that ANNs can be successfully used for optimizing the diagnosis, prognosis and outcome prediction in spinal diseases. Therefore, incorporation of ANNs into spine clinical practice may improve clinical decision making.

Background: Nutrition has always been associated with eating behaviour. The eating behaviour can impact not only the normal population but also athletes’ population including disabled athletes too. Athletes have a higher tendency to unhealthy eating behaviour due to intense pressure and competitive environment in sports. It is important to identify the types of eating behaviour among disabled athletes to prevent eating disorder that could affect their performance. Thus, this study aims to identify the types of eating behaviour among disabled athletes in Malaysia. Methods: This study involved 93 disabled athletes in Malaysia. The setting of the study is at National Sports Council, Malaysia. The data obtained are analysed using chi-square test using SPSS. Results: This study shows that the most common types of eating behaviour among disabled athletes are emotional eating (37.6%), followed by uncontrolled eating (34.3%) and cognitive restraint (28%). Most of the overweight and obese disabled athletes are prone to emotional eating (19.4%) as compared to non-overweight athletes (18.3%). Conclusion: As a conclusion, recognising the eating behaviour in disabled athletes is important as more effective and innovative interventions and measures can be undertaken to prevent eating disorder which can enhance sports performance.

PURPOSE: To determine the impact of an image processing technique on diagnostic accuracy of digital panoramic radiographs for the assessment of anatomical structures in paediatric patients with mixed dentition. MATERIALS AND METHODS: The study consisted of 50 digital panoramic radiographs of children aged from 6 to 12 years, which were later on processed using a dedicated image processing method. A modified clinical image quality evaluation chart was used to evaluate the diagnostic accuracy of anatomical structures in maxillary and mandibular anterior and maxillary premolar region of processed images. RESULTS: A statistically significant difference was observed between pre and post-processed evaluation of anatomical structures (P < 0.05) in the maxillary and mandibular anterior region. The anterior region was found to be more accurate in post-processed images. No significant difference was observed in the maxillary premolar region (P>0.05). The Inter-observer and intra-observer reliability of both pre and post processed images were excellent (>0.82) for anterior region and good (>0.63) for premolar region. CONCLUSION: The application of image processing technique in digital panoramic radiography can be considered a reliable method for improving the quality of anatomical structures in paediatric patients with mixed dentition.
Bicuspid ; Child ; Dentition, Mixed ; Diagnosis ; Humans ; Methods ; Radiography ; Radiography, Panoramic

STUDY DESIGN: Case-control. PURPOSE: To determine optimal cut-off value for body mass index (BMI) in predicting surgical success in patients with lumbar spinal canal stenosis (LSCS). OVERVIEW OF LITERATURE: BMI is an essential variable in the assessment of patients with LSCS. METHODS: We conducted a prospective study with obese and non-obese LSCS surgical patients and analyzed data on age, sex, duration of symptoms, walking distance, morphologic grade of stenosis, BMI, postoperative complications, and functional disability. Obesity was defined as BMI of ≥30 kg/m². Patients completed the Oswestry Disability Index (ODI) questionnaire before surgery and 2 years after surgery. Surgical success was defined as ≥30% improvement from the baseline ODI score. Receiver operating characteristic (ROC) analysis was used to estimate the optimal cut-off values of BMI to predict surgical success. In addition, correlation was assessed between BMI and stenosis grade based on morphology as defined by Schizas and colleague in total, 189 patients were eligible to enter the study. RESULTS: Mean age of patients was 61.5±9.6 years. Mean follow-up was 36±12 months. Most patients (88.4%) were classified with grades C (severe stenosis) and D (extreme stenosis). Post-surgical success was 85.7% at the 2-year follow-up. A weak correlation was observed between morphologic grade of stenosis and BMI. Rates of postoperative complications were similar between patients who were obese and those who were non-obese. Both cohorts had similar degree of improvement in the ODI at the 2-year follow-up. However, patients who were non-obese presented significantly higher surgical success than those who were obese. In ROC curve analysis, a cut-off value of ≤29.1 kg/m² for BMI in patients with LSCS was suggestive of surgical success, with 81.1% sensitivity and 82.2% specificity (area under the curve, 0.857; 95% confidence interval, 0.788–0.927). CONCLUSION: This study showed that the BMI can be considered a parameter for predicting surgical success in patients with LSCS and can be useful in clinical practice.
Body Mass Index ; Case-Control Studies ; Cohort Studies ; Constriction, Pathologic ; Follow-Up Studies ; Humans ; Obesity ; Postoperative Complications ; Prospective Studies ; ROC Curve ; Sensitivity and Specificity ; Spinal Canal ; Walking