MATERIALS AND METHODS: Epidemiological data for selfreported bone fractures were obtained through direct interviews using a validated questionnaire from the Prospective Urban and Rural Epidemiology (PURE) study.
RESULTS: Of 15,378 respondents, 6.63% (n=1019) reported bone fractures, with a higher proportion of men (65.8%, n=671) than women (34.2%, n=348). Higher odds of selfreporting bone fractures were seen in males (aOR, 2.12; 95%CI: 1.69, 2.65), those with a history of injury (aOR 5.01; 95%CI: 3.10, 6.32) and those who were obese (aOR: 1.46; 95% CI: 1.13, 1.89), highly active (aOR 1.25; 95%CI: 1.02, 1.53), smokers (aOR 1.35; 95%CI: 1.11, 1.65) and alcohol consumers (aOR 1.67; 95%CI: 1.20,2.32).
CONCLUSION: Adopting a healthier lifestyle that includes a balanced diet and moderate physical activity is critical for weight loss, increased muscle and bone mass and better stability, which reduces the likelihood of fractures following a fall.
MATERIALS AND METHODS: A literature search was carried out to gather eligible studies from the following widely sourced electronic databases such as Scopus, PubMed and Google Scholar using the combination of the following keywords: AD, MRS, brain metabolites, deep learning (DL), machine learning (ML) and artificial intelligence (AI); having the aim of taking the readers through the advancements in the usage of MRS analysis and related AI applications for the detection of AD.
RESULTS: We elaborate on the MRS data acquisition, processing, analysis, and interpretation techniques. Recommendation is made for MRS parameters that can obtain the best quality spectrum for fingerprinting the brain metabolomics composition in AD. Furthermore, we summarise ML and DL techniques that have been utilised to estimate the uncertainty in the machine-predicted metabolite content, as well as streamline the process of displaying results of metabolites derangement that occurs as part of ageing.
CONCLUSION: MRS has a role as a non-invasive tool for the detection of brain metabolite biomarkers that indicate brain metabolic health, which can be integral in the management of AD.
MATERIALS AND METHODS: This retrospective cross-sectional study involved children aged 6 months to 6 years who were hospitalised for febrile seizures in Hospital Tuanku Ja'afar Seremban (HTJS) from January 2021 to June 2022. Descriptive statistics were used to summarise the differences in demographics and clinical presentations. Logistic regression analyses were performed to identify factors associated with COVID-19 and non-COVID-19 febrile seizures.
RESULTS: Of the 345 patients (median age 22 months, IQR 15- 32; 59.7% were males) included in the study, 130 (37.7%) tested positive for COVID-19, while 215 (62.3%) tested negative. There were no significant differences between both groups based on age, comorbidities, history of febrile seizures, seizure types, temperature on arrival, cough and rhinorrhoea. Multivariate analysis revealed that a family history of febrile seizures and leucocytosis were associated with increased odds of non-COVID-19 febrile seizures. In contrast, lymphopenia was associated with decreased odds.
CONCLUSION: The clinical presentation of COVID-19 and non- COVID-19 febrile seizures are remarkably similar, highlighting the importance of including COVID-19 screening in febrile seizures workup. Full blood count readings may be potentially useful for differentiating between these conditions.
CASE REPORT: A 3-month-old baby boy was presented with neonatal anaemia and mild hepatomegaly. Full blood count revealed severe hypochromic microcytic anaemia. There was an abundance of HbH inclusion bodies in his red blood cells. High-performance liquid chromatography showed a reduced HbA2 level with the presence of pre-run peak. Capillary electrophoresis showed the presence of HbH and Hb Barts. Molecular analysis found a common α0-thalassaemia (--SEA) in one allele and mutation in codon 125 in the other allele.
DISCUSSION: Non-deletional HbH disease due to a combination of deletional and non-deletional mutations may present with severe clinical manifestations than those with deletion mutations, which warrants accurate diagnosis using molecular techniques.