MATERIALS AND METHODS: A total of 170 blood donors were recruited into the study. Blood donors were classified into three groups: normal, latent iron deficiency and iron deficiency anaemia based on their Hb, serum ferritin and transferrin saturation (TSAT) levels. The diagnostic performance of %Hypo-He was evaluated with a validation group comprising 160 blood donors.
RESULTS: Receiver operating characteristic (ROC) curve analysis showed that %Hypo-He is an excellent parameter for detecting iron deficiency, with an area under the curve (AUC) of 0.906, a confidence interval (CI) of 0.854-0.957 at a cut-off of 0.6%, and 74.51% sensitivity and 88.24% specificity. A moderate negative correlation between %Hypo-He and TSAT (ρ = -0.576 [P
METHODS: This study is a secondary analysis of data from the National Health and Morbidity Survey (NHMS), a cross-sectional population-based survey conducted in Malaysia in 2015. A total of 6,207 respondents aged ≥18 years were included in this study. The associations of sociodemographic, health, and lifestyle factors with the utilization of the three T&CM service categories (traditional Malay medicine, traditional Chinese medicine, and other T&CM) were examined using three separate logistic regression analyses.
RESULTS: The prevalence of recognized T&CM service utilization in the last 12 months was 19.3%, with 15.0% for traditional Malay medicine, 3.9% for traditional Chinese medicine, and 1.5% for other T&CM. The determinants of traditional Malay medicine service utilization were female sex; age range of 18-29 years; married or widowed/divorced status; Malay, Indigenous or other ethnicities; high household income; and being overweight/obese. The determinants of traditional Chinese medicine service utilization were the age range of 30-49 years, urban residential location, Chinese ethnicity, and adequate fruit and vegetable intake. No specific determinants were identified for other T&CM.
CONCLUSION: This study provided novel evidence of a strong ethnocultural ownership towards traditional medicine. User profiles were distinctively different between varied T&CM services. Customized approaches to regulate, develop, and institutionalize specific T&CM services are crucial for fulfilling the unique needs of diverse communities.
RESULT: A total of 24 and 32 somatic variants were identified in presentation and relapse samples respectively with an average of 4.0 variants per patient at presentation and 5.3 variants per patient at relapse, with SNVs being more frequent than indels at both disease stages. All patients have somatic variants in at least one gene that is frequently mutated in AML at both disease presentation and relapse, with most of these variants are classic AML and recurrent hotspot mutations including NPM1 p.W288fs, FLT3-ITD, NRAS p.G12D and IDH2 p.R140Q. In addition, we found two distinct clonal evolution patterns of relapse: (1) a leukemic clone at disease presentation acquires additional mutations and evolves into the relapse clone after the chemotherapy; (2) a leukemic clone at disease presentation persists at relapse without the addition of novel somatic mutations.
CONCLUSIONS: The findings of this study suggest that the relapse-initiating clones may pre-exist prior to therapy, which harbor or acquire mutations that confer selective advantage during chemotherapy, resulting in clonal expansion and eventually leading to relapse.
METHODS AND ANALYSIS: This is a prospective direct observational study that will be conducted in five neonatal intensive care units. A minimum sample size of 820 drug preparations and administrations will be observed. Data including patient characteristics, drug preparation-related and administration-related information and other procedures will be recorded. After each round of observation, the observers will compare his/her observations with the prescriber's medication order, hospital policies and manufacturer's recommendations to determine whether MAE has occurred. To ensure reliability, the error identification will be independently performed by two clinical pharmacists after the completion of data collection for all study sites. Any disagreements will be discussed with the research team for consensus. To reduce overfitting and improve the quality of risk predictions, we have prespecified a priori the analytical plan, that is, prespecifying the candidate predictor variables, handling missing data and validation of the developed model. The model's performance will also be assessed. Finally, various modes of presentation formats such as a simplified scoring tool or web-based electronic risk calculators will be considered.
METHODS: All suicide-related deaths in elderly aged 60 years and above from the Year 1995 to 2020 reported to the National Registration Department (NRD) were analyzed. Causes of death for suicide were coded based on the International Statistical Classification of Diseases and Related Health Problems, 10th Revision (ICD-10). The completed suicide rate was calculated by dividing the completed suicide number by the total elderly population for the respective year.
RESULTS: Overall, the analysis of 1,600 suicide-related deaths was investigated over 26 years. Male was seen to be correlated with higher suicidal risk, with a male-female relative risk (RR) = 1.89 (95%CI:1.46,2.45). The risk of suicide was also found to be significantly higher for those aged 60 to 74 years old and Chinese, with RR = 4.26 (95%CI:2.94, 6.18) and RR = 5.81 (95%CI: 3.70, 9.12), respectively. Hanging was found to be a statistically significant suicide method (IRR:4.76, 95%CI:2.34,9.65) as compared to pesticide poisoning. The completed suicide rate was fluctuating over the years.
CONCLUSIONS: In conclusion, it is believed that Malaysia's elderly suicide rate has reached an alarmingly high incidence. By identifying the crucial criteria of sociodemographic factors, the government and responsible agencies have the essential and additional information to put together a more effective strategy and approach to overcome the issue in the future.
METHODS: Data from a nationwide survey implemented using a stratified cluster sampling design were analyzed. This study was carried out through face-to-face interviews and guided questionnaires. The questions were based on the Washington Group of Disability (WG) questionnaires, which produce multiple disability identifiers. Hearing disability is defined as at least one domain or question out of four questions coded as "A lot of difficulty" or "Cannot hear at all".
RESULTS: The prevalence of hearing disability among older persons aged ≥60 years was 6.4% (95% CI 5.0-8.3), whereas 1.5% (95% CI 0.90, 2.50) older persons were reported to be using a hearing aid. The determinants of hearing disability are being male (aOR 2.67, 95% CI 1.94-3.66), being unemployed (retired, homemaker, unemployed; aOR 1.86, 95% CI 1.86-4.14) and had no formal education (aOR 18.25, 95% CI 4.18-79.55).
CONCLUSIONS: Promoting healthy aging is important and crucial for Malaysia, in preparation toward an aging nation, as it could reduce the country's financial burden in the long term. Health-related agencies should promote health awareness and treatment centers in relation to hearing disability among older persons, as they should be educated and informed about healthcare choices availability, which is aligned with the Global Disability Action Plan 2014-2021. Geriatr Gerontol Int 2020; 20: 43-48.
DESIGN: A population-based cross-sectional study.
SETTING: 13 states and 3 Federal Territories in Malaysia.
PARTICIPANTS: A total of 3966 adults aged 60 years and above were extracted from the nationwide National Health and Morbidity Survey (NHMS) 2018 data set.
PRIMARY OUTCOME MEASURES: Multimorbidity was defined as co-occurrence of at least two known chronic non-communicable diseases in the same individual. The chronic diseases included hypertension, type 2 diabetes mellitus, dyslipidaemia and cancer.
RESULTS: The prevalence of multimorbidity among Malaysian older adults was 40.6% (95% CI: 37.9 to 43.3). The factors associated with multimorbidity were those aged 70-79 years (adjusted OR (AOR)=1.30; 95% CI=1.04 to 1.63; p=0.019), of Indian (AOR=1.69; 95% CI=1.14 to 2.52; p=0.010) and Bumiputera Sarawak ethnicities (AOR=1.81; 95% CI=1.14 to 2.89; p=0.013), unemployed (AOR=1.53; 95% CI=1.20 to 1.95; p=0.001), with functional limitation from activities of daily livings (AOR=1.66; 95% CI=1.17 to 2.37; p=0.005), physically inactive (AOR=1.28; 95% CI=1.03 to 1.60; p=0.026), being overweight (AOR=1.62; 95% CI=1.11 to 2.36; p=0.014), obese (AOR=1.88; 95% CI=1.27 to 2.77; p=0.002) and with abdominal obesity (AOR=1.52; 95% CI=1.11 to 2.07; p=0.009).
CONCLUSION: This study highlighted that multimorbidity was prevalent among older adults in the community. Thus, there is a need for future studies to evaluate preventive strategies to prevent or delay multimorbidity among older adults in order to promote healthy and productive ageing.
METHODS: This national-level, multicentre, prospective direct observational study was conducted in neonatal intensive care units (NICUs) of five public hospitals in Malaysia. Randomly selected nurses were directly observed during medication preparation and administration. Each observation was independently assessed for errors. Ten machine learning (ML) algorithms were applied with features derived from systematic reviews, incident reports, and expert consensus. Model performance, prioritising F1-score for MAEs, was evaluated using various measures. Feature importance was determined using the permutation-feature importance for robust comparison across ML algorithms.
RESULTS: A total of 1093 doses were administered to 170 neonates, with mean age and birth weight of 33.43 (SD ± 5.13) weeks and 1.94 (SD ± 0.95) kg, respectively. F1-scores for the ten models ranged from 76.15% to 83.28%. Adaptive boosting (AdaBoost) emerged as the best-performing model (F1-score: 83.28%, accuracy: 77.63%, area under the receiver operating characteristic: 82.95%, precision: 84.72%, sensitivity: 81.88% and negative predictive value: 64.00%). The most influential features in AdaBoost were the intravenous route of administration, working hours, and nursing experience.
CONCLUSIONS: This study developed and validated an ML-based model to predict the presence of MAEs among neonates in NICUs. AdaBoost was identified as the best-performing algorithm. Utilising the model's predictions, healthcare providers can potentially reduce MAE occurrence through timely interventions.
OBJECTIVE: This study aims to evaluate the effectiveness of a combined dry IF and healthy plate (IFHP) and healthy plate (HP) intervention in improving anthropometric outcomes and body composition.
METHODS: This nonrandomized controlled trial involved 177 adults who were overweight and obese. Among them, 91 (51.4%) were allocated to the IFHP group and 86 (48.6%) were allocated to the HP group. The overall study duration was 6 months (October 2020 to March 2021). The intervention was divided into 2 phases: supervised (3 months) and unsupervised (3 months). The data were collected at baseline, after the supervised phase (month 3), and after the unsupervised phase (month 6). Anthropometric (weight, height, waist circumference, and hip circumference) and body composition (body fat percentage, body fat mass, skeletal muscle mass, and visceral fat area) data were measured at all 3 data collection points. Sociodemographic data were obtained using a questionnaire at baseline.
RESULTS: Most participants were female (147/177, 83.1%) and Malay (141/177, 79.7%). After 3 months, there were significant reductions in weight (difference -1.68; P.05).
CONCLUSIONS: A combined IFHP intervention was effective in improving anthropometric outcomes and body composition in adults with overweight and obesity.
INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/33801.