METHODS: The data set analysed includes COVID-19 patients hospitalized between January 2020 and January 2022 in 52 countries. We investigated how symptoms on admission, co-morbidities, risk factors and treatments varied by age, sex and other characteristics. We used Cox regression models to investigate associations between demographics, symptoms, co-morbidities and other factors with risk of death, admission to an intensive care unit (ICU) and invasive mechanical ventilation (IMV).
RESULTS: Data were available for 689 572 patients with laboratory-confirmed (91.1%) or clinically diagnosed (8.9%) SARS-CoV-2 infection from 52 countries. Age [adjusted hazard ratio per 10 years 1.49 (95% CI 1.48, 1.49)] and male sex [1.23 (1.21, 1.24)] were associated with a higher risk of death. Rates of admission to an ICU and use of IMV increased with age up to age 60 years then dropped. Symptoms, co-morbidities and treatments varied by age and had varied associations with clinical outcomes. The case-fatality ratio varied by country partly due to differences in the clinical characteristics of recruited patients and was on average 21.5%.
CONCLUSIONS: Age was the strongest determinant of risk of death, with a ∼30-fold difference between the oldest and youngest groups; each of the co-morbidities included was associated with up to an almost 2-fold increase in risk. Smoking and obesity were also associated with a higher risk of death. The size of our international database and the standardized data collection method make this study a comprehensive international description of COVID-19 clinical features. Our findings may inform strategies that involve prioritization of patients hospitalized with COVID-19 who have a higher risk of death.
METHODS: A retrospective study cohort was conducted at the University Malaya Medical Centre (UMMC) on cases of MRSA bacteremia from 2012 to 2016. Patient demographic and clinical data were collected for risk factors analyses.
RESULTS: New cases of MRSA bacteremia showed a trend of increase from 0.12 to 100 admissions in 2012 to 0.17 per 100 admissions in 2016 but a drop was observed in 2014 (0.07 per 100 admissions). Out of the 275 patients with MRSA bacteremia, 139 (50.5%) patients were aged ≥ 65 years old. Co-morbidities and severity at presentation were significantly higher among older adults, including diabetes mellitus (p = 0.035), hypertension (p = 0.001), and ischemic heart disease (p risk factors for 30-day mortality.
CONCLUSION: Older patients' risk of mortality from MRSA bacteremia was three times higher than younger patients. Our data will contribute to developing and validating a robust scoring system for risk-stratifying patients to achieve better management and improved clinical outcomes.
METHODS: This study analysed cross-sectional data from the Research with East London Adolescents Community Health Survey, a prospective population survey of adolescents attending state schools in East London, England. The history of NSSI was obtained using two items from the Lifestyle and Coping questionnaire (whether they have ever engaged with self-harm and the last time they engaged in such behaviours). The presence of TDIs, increased overjet and inadequate lip coverage were determined through clinical assessments by two trained dentists. Survey logistic regression was fitted to test the association of NSSI with TDIs. Odds ratios (ORs) were adjusted for socio-demographic and clinical characteristics as potential confounders.
RESULTS: The lifetime and last-year prevalence of NSSI were 11.9% and 6.7%, respectively, whereas the prevalence of TDIs was 16.5%. Neither the lifetime prevalence of NSSI (OR: 1.02, 95% confidence interval: 0.56-1.85) nor the last-year prevalence of NSSI (OR: 0.76, 95% CI: 0.36-1.61) were associated with TDIs in regression models adjusted for confounders.
CONCLUSION: This study did not support an association between history of NSSI and TDIs among adolescents aged 15-16 years old in East London.
METHODOLOGY: A prospective single-center cohort study was conducted in a tertiary care set-up. Transfusion Dependent Thalassemia patients registered with the pediatric unit were screened for hypercoagulability using TEG during six months of the study period and followed up for three years for the development of thromboembolic events. Patient demographics, history of splenectomy, Serum ferritin levels and annual red cell transfusion requirement (mL/kg/year) were assessed. TEG parameters used were R time, K time, alpha angle, Maximum amplitude, Clot index, and Lysis 30. The thrombin generation test (V Curve) obtained from the first-degree derivate of the TEG velocity curve was also used for analysis.
RESULTS: A total of 34 patients were recruited during the six months study period with an average age of 10.6 years ( ± 5.47). The average pre-transfusion hemoglobin level and the volume of packed red cells received were 7.24 g/dL and 152.82 mL/kg/year respectively. The TEG tracing was suggestive of a hypercoagulable state in 58.82% of patients. The mean values of angle (70.74), MA (64.16), CI (2.65) and TG (774.43) in TDT patients compared to age matched reference range (62.81, 57.99, 0.8, 577.83 respectively) was suggestive of prothrombotic changes. Annual blood transfusion requirement was negatively correlated with hypercoagulable status (-0.344, CI= -0.68 to 0.08). One out of 34 patients developed corona radiata infarct (with annual blood requirement; 112.7 mL/kg/Year). The risk to develop a hypercoagulable state appeared to be higher when the volume of RBCs transfused was less than 154 mL/kg/Year.
CONCLUSION: TDT patients are at risk of developing thromboembolism, and screening with TEG may be useful to identify those at high risk.
METHODS: A questionnaire survey about the practices of diagnosing and managing AMI, endorsed by several specialist societies, was sent to different medical specialists and hospitals worldwide. Data from individual health care professionals and from medical teams were collected.
RESULTS: We collected 493 individual forms from 71 countries and 94 team forms from 34 countries. Almost half of respondents were surgeons, and most of the responding teams (70%) were led by surgeons. Most of the respondents indicated that diagnosis of AMI is often delayed but rarely missed. Emergency revascularisation is often considered for patients with AMI but rarely in cases of transmural ischaemia (intestinal infarction). Responses from team hospitals with a dedicated special unit (14 team forms) indicated more aggressive revascularisation. Abdominopelvic CT-scan with intravenous contrast was suggested as the most useful diagnostic test, indicated by approximately 90% of respondents. Medical history and risk factors were thought to be more important in diagnosis of AMI without transmural ischaemia, whereas for intestinal infarction, plasma lactate concentrations and surgical exploration were considered more useful. In elderly patients, a palliative approach is often chosen over extensive bowel resection. There was a large variability in anticoagulant treatment, as well as in timing of surgery to restore bowel continuity.
CONCLUSIONS: Delayed diagnosis of AMI is common despite wide availability of an adequate imaging modality, i.e. CT-scan. Large variability in treatment approaches exists, indicating the need for updated guidelines. Increased awareness and knowledge of AMI may improve current practice until more robust evidence becomes available. Adherence to the existing guidelines may help in improving differences in treatment and outcomes.
OBJECTIVES: This review aimed to identify the prevalence and risk factors of anaemia among OA children in Malaysia and analyse the knowledge gaps.
METHODS: A systematic search was conducted in PubMed, Cochrane Library, Scopus and Google Scholar databases. This review followed Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for scoping reviews (PRISMA-ScR) guidelines.
RESULTS: This review identified six studies involving the participation of OA children from eight subtribes residing in Peninsular Malaysia. The overall prevalence of anaemia among OA children ranged from 21.6 to 80.0%, with iron deficiency anaemia prevalence at 34.0%. The risk factors of anaemia among OA children reported from one study in this review were being younger than ten years old children (AOR 2.11 (95% CI 1.23, 3.63)) and moderate to heavy Ascaris infections (AOR 2.05 (95% CI 1.12, 3.76)). There was no data from OA children from certain age groups and subtribes. Additionally, there is a paucity of data on risk factors for anaemia among OA children from the currently available evidence.
CONCLUSION: The prevalence of anaemia among OA children poses a moderate to severe public health concern. Therefore, more comprehensive studies in the future are needed to address the gaps identified in this review, primarily regarding anaemia risk factors. This data would encourage policymakers in devising effective national prevention strategies to improve morbidity and mortality among OA children in the future.
METHODS: We searched related articles from January 1998 to December 2020 to obtain the prevalence and relative risks (or odds ratio) of GC associated with H. pylori in Asia. The burden of GC attributable to H. pylori infection was quantified by Population Attributable Fraction (PAF) and Disability-adjusted life-years (DALYs).
RESULTS: We quantified the burden of GC attributable to H. pylori infection with 415.6 thousand DALYs and 38.03% PAF through the five included Asian countries in 2019. The study found that the burden had obvious regional differences. The DALYs ranged from 298.9 thousand in China to 1.9 thousand in Malaysia, and the PAFs were between 58.00% in Japan and 30.89% in China. The average prevalence of H. pylori in the included general population was estimated to be 56.29%.
CONCLUSIONS: Helicobacter pylori poses a huge disease burden of GC to the population, and its eradication should receive attention, especially in the countries with high incidence of and mortality due to GC.
MATERIALS AND METHODS: We analysed retrospective data of chest pain patients presenting to ED HUSM from 1st June 2020 till 31st January 2021 based on the patient's history, ECG findings, risk factors, age and troponin level. The patients were stratified as low risk (MHS and HEAR score of 0-3), intermediate risk (MHS and HEAR score of 4-6), and high risk (MHS of 7-10 and HEAR score of 7-8). The association of the MHS and HEAR score with MACE at 6 weeks' time was evaluated using simple logistic regression.
RESULTS: This study included 147 patients in the MHS analysis and 71 patients in HEAR score analysis. The incident rate of MACE in low, intermediate and high risk was 0%,16.3%, and 34.7%, in the MHS group, and 0%, 3.22%, and 6.66% in HEAR score group. The mean difference between MACE and non-MACE in MHS and HEAR score groups was -2.29 (CI: -3.13,1.44, p<0.001) and -2.51(CI: -5.23, 0.21, p=0.070), respectively. There was no significant association between the incidence rate of MACE with modified HEART score (MHS) and HEAR score groups (p>0.95).
CONCLUSION: HEAR score is not feasible to be used as a risk stratification tool for chest pain patients presenting to ED HUSM in comparison to MHS. Further studies are required to validate the results.
MATERIALS AND METHODS: Patients with at least one EEG recording were recruited. The EEG and clinical data were collated.
RESULTS: Two hundred and fifty patients underwent EEG and 154 (61.6%) were found to have abnormal EEG. The abnormal changes consist of theta activity (79,31.6%), delta activity (20, 8%), focal discharges (41,16.4%) and generalised discharges (14, 5.6%). Older patients had 3.481 higher risk for EEG abnormalities, p=0.001. Patients who had focal seizures had 2.240 higher risk of having EEG abnormalities, p<0.001. Low protein level was a risk for EEG abnormalities, p=0.003.
CONCLUSION: This study emphasised that an abnormal EEG remains a useful tool in determining the likelihood for seizures in a hospital setting. The risk factors for EEG abnormality in hospitalised patients were age, focal seizures and low protein level. The EEG may have an important role as part of the workup in hospitalised patients to aid the clinician to tailor their management in a holistic manner.
METHODS: As data on policy indicators were straightforward and fully available, we focused on studying 25 non-policy indicators: 23 GMFs and 2 PMIs. Gathering data availability of the target indicators was conducted among NCD surveillance experts from the six selected countries during May-June 2020. Our research team found information regarding whether the country had no data at all, was using WHO estimates, was providing 'expert judgement' for the data, or had actual data available for each target indicator. We triangulated their answers with several WHO data sources, including the WHO Health Observatory Database and various WHO Global Reports on health behaviours (tobacco, alcohol, diet, and physical activity) and NCDs. We calculated the percentages of the indicators that need improvement by both indicator category and country.
RESULTS: For all six studied countries, the health-service indicators, based on responses to the facility survey, are the most lacking in data availability (100% of this category's indicators), followed by the health-service indicators, based on the population survey responses (57%), the mortality and morbidity indicators (50%), the behavioural risk indicators (30%), and the biological risk indicators (7%). The countries that need to improve their NCD surveillance data availability the most are Cambodia (56% of all indicators) and Lao PDR (56%), followed by Malaysia (36%), Vietnam (36%), Myanmar (32%), and Thailand (28%).
CONCLUSION: Some of the non-policy GMF and PMI indicators lacked data among the six studied countries. To achieve the global NCDs targets, in the long run, the six countries should collect their own data for all indicators and begin to invest in and implement the facility survey and the population survey to track NCDs-related health services improvements once they have implemented the behavioural and biological Health Risks Population Survey in their countries.
METHODS AND RESULTS: This randomized trial tested vitamin D 60,000 IU monthly in 5670 participants without vascular disease but at increased CV risk. The primary outcome was fracture. The secondary outcome was the composite of CV death, myocardial infarction stroke, cancer, fracture or fall. Death was a pre-specified outcome. Mean age was 63.9 years, and 3005 (53.0%) were female. 3034 (53.5%) participants resided in South Asia, 1904 (33.6%) in South East Asia, 480 (8.5%) in South America, and 252 (4.4%) in other regions. Mean follow-up was 4.6 years. A fracture occurred in 20 participants (0.2 per 100 person years) assigned to vitamin D, and 19 (0.1 per 100 person years) assigned to placebo (HR 1.06, 95% CI 0.57-1.99, p-value = 0.86). The secondary outcome occurred in 222 participants (1.8 per 100 person years) assigned to vitamin D, and 198 (1.6 per 100 person years) assigned to placebo (HR 1.13, 95% CI 0.93-1.37, p = 0.22). 172 (1.3 per 100 person years) participants assigned to vitamin D died, compared with 135 (1.0 per 100 person years) assigned to placebo (HR 1.29, 95% CI 1.03-1.61, p = 0.03).
CONCLUSION: In a population predominantly from South Asia, South East Asia and South America, high-dose vitamin D did not reduce adverse skeletal or non-skeletal outcomes. Higher mortality was observed in the vitamin D group.
REGISTRATION NUMBER: NCT01646437.
METHODS: Seven (7) ASPECT members were approached to provide a harmonised anonymised dataset from their local registry. Patient characteristics were summarised and associations between the characteristics and in-hospital outcomes for STEMI patients were analysed.
RESULTS: Six (6) participating sites (86%) provided governance approvals for the collation of individual anonymised patient data from 2015 to 2017. Five (5) sites (83%) provided >90% of agreed data elements and 68% of the collated elements had <10% missingness. From the registry (n=12,620), 84% were male. The mean age was 59.2±12.3 years. The Malaysian cohort had a high prevalence of previous myocardial infarction (34%), almost twice that of any other sites (p<0.001). Adverse in-hospital outcomes were the lowest in Hong Kong whilst in-hospital mortality varied from 2.7% in Vietnam to 7.9% in Singapore.
CONCLUSIONS: Governance approvals for the collation of individual patient anonymised data was achieved with a high level of data alignment. Secure data transfer process and repository were established. Patient characteristics and presentation varied significantly across the Asia-Pacific region with this likely to be a major predictor of variations in the clinical outcomes observed across the region.