Browse publications by year: 2024

  1. Ong SQ, Høye TT
    Data Brief, 2024 Aug;55:110741.
    PMID: 39156668 DOI: 10.1016/j.dib.2024.110741
    The sticky trap is probably the most cost-effective tool for catching insect pests, but the identification and counting of insects on sticky traps is very labour-intensive. When investigating the automatic identification and counting of pests on sticky traps using computer vision and machine learning, two aspects can strongly influence the performance of the model - the colour of the sticky trap and the device used to capture the images of the pests on the sticky trap. As far as we know, there are no available image datasets to study these two aspects in computer vision and deep learning algorithms. Therefore, this paper presents a new dataset consisting of images of two pests commonly found in post-harvest crops - the red flour beetle (Tribolium castaneum) and the rice weevil (Sitophilus oryzae) - captured with three different devices (DSLR, webcam and smartphone) on blue, yellow, white and transparent sticky traps. The images were sorted by device, colour and species and divided into training, validation and test parts for the development of the deep learning model.
  2. Hassan F, Hatah E, Chong WW, Ali AM
    Ther Clin Risk Manag, 2024;20:495-503.
    PMID: 39156759 DOI: 10.2147/TCRM.S442026
    BACKGROUND: Diabetes mellitus (DM) is a chronic metabolic disorder affecting millions globally. Adherence to treatment is crucial for effective management.

    OBJECTIVE: To compare clinical outcomes, specifically changes in haemoglobin A1c (HbA1c) and fasting blood sugar (FBS) levels, between DM patients who completed the pharmacist-managed Diabetes Medication Therapy Adherence Clinic (DMTAC) sessions and those who did not, and to identify risk factors associated with non-completion of DMTAC.

    METHODS: This multicenter, retrospective study included patients with DM attending DMTAC at five Ministry of Health centers from January 2018 to December 2020. Patients were categorized based on their completion of DMTAC sessions: those who completed at least four sessions and those who did not as per DMTAC protocol. The changes in HbA1c and FBS levels between the groups were analyzed. Logistic regression was employed to identify risk factors for non-completion of DMTAC.

    RESULTS: A total of 198 patients were included, comprising 49% male with a mean age of 56.52, ±12.91 years. The complete group consisted of 49% (n=99) of the patients, while the did not complete group included 50.5% (n=100). A statistically significant reduction in FBS levels from initial to final measurements was observed in the complete group compared to the did not complete group (P=0.024). Female gender, higher education levels, and a longer duration since DM diagnosis were significantly associated with non-completion of DMTAC.

    CONCLUSION: Diabetic patients attending at least four DMTAC sessions showed potential improvements in FBS levels. To enhance attendance at DMTAC sessions, healthcare professionals should focus on patients identified with risk factors for non-completion of DMTAC.

  3. Mohamad Faizal NS, Tan JK, Tan MM, Khoo CS, Sahibulddin SZ, Zolkafli N, et al.
    J Cent Nerv Syst Dis, 2024;16:11795735241274203.
    PMID: 39156830 DOI: 10.1177/11795735241274203
    BACKGROUND: Delirium is a prevalent yet underdiagnosed disorder characterized by acute cognitive impairment. Various screening tools are available, including the Confusion Assessment Method (CAM) and 4 A's test (4AT). However, the results of these assessments may vary among raters. Therefore, we investigated the objective use of electroencephalography (EEG) in delirium and its clinical associations and predictive value.

    METHOD: This cross-sectional observational study was conducted at Hospital Canselor Tuanku Muhriz, Universiti Kebangsaan, Malaysia, from April 2021 to April 2023. This study included patients aged ≥18 years with a preliminary diagnosis of delirium. Demographic and clinical data were collected along with EEG recordings evaluated by certified neurologists to classify abnormalities and compare the associated factors between patients with delirium with or without EEG abnormalities.

    RESULTS: One hundred and twenty patients were recruited, with 80.0% displaying EEG abnormalities, mostly generalized slowing (moderate to severe) and primarily generalized slowing (mild to severe), and were characterized by theta activity. Age was significantly associated with EEG abnormalities, with patients aged 75 and older demonstrating the highest incidence (88.2%). The CAM scores were strongly correlated with EEG abnormalities (r = 0.639, P < 0.001) and was a predictor of EEG abnormalities (P < 0.012), indicating that EEG can complement clinical assessments for delirium. The Richmond Agitation and Sedation Scale (RASS) scores (r = -0.452, P < 0.001) and Barthel index (BI) (r = -0.582, P < 0.001) were negatively correlated with EEG abnormalities. Additionally, a longer hospitalization duration was associated with EEG abnormalities (r = 0.250, P = 0.006) and emerged as a predictor of such changes (P = 0.030).

    CONCLUSION: EEG abnormalities are prevalent in patients with delirium, particularly in elderly patients. CAM scores and the duration of hospitalization are valuable predictors of EEG abnormalities. EEG can be an objective tool for enhancing delirium diagnosis and prognosis, thereby facilitating timely interventions.

  4. DeWitt JC, Glüge J, Cousins IT, Goldenman G, Herzke D, Lohmann R, et al.
    Environ Sci Technol Lett, 2024 Aug 13;11(8):786-797.
    PMID: 39156923 DOI: 10.1021/acs.estlett.4c00147
    Per- and polyfluoroalkyl substances (PFASs) are a class of synthetic organic chemicals of global concern. A group of 36 scientists and regulators from 18 countries held a hybrid workshop in 2022 in Zürich, Switzerland. The workshop, a sequel to a previous Zürich workshop held in 2017, deliberated on progress in the last five years and discussed further needs for cooperative scientific research and regulatory action on PFASs. This review reflects discussion and insights gained during and after this workshop and summarizes key signs of progress in science and policy, ongoing critical issues to be addressed, and possible ways forward. Some key take home messages include: 1) understanding of human health effects continues to develop dramatically, 2) regulatory guidelines continue to drop, 3) better understanding of emissions and contamination levels is needed in more parts of the world, 4) analytical methods, while improving, still only cover around 50 PFASs, and 5) discussions of how to group PFASs for regulation (including subgroupings) have gathered momentum with several jurisdictions proposing restricting a large proportion of PFAS uses. It was concluded that more multi-group exchanges are needed in the future and that there should be a greater diversity of participants at future workshops.
  5. Sinha S, Ahmad R, Chowdhury K, Ferdaus F, Banik S, Mehta M, et al.
    Cureus, 2024 Aug;16(8):e67032.
    PMID: 39157000 DOI: 10.7759/cureus.67032
    Introduction Salinity intrusion is the most common global concern along coastlines, but it can happen inland also. The lack of freshwater is the primary issue affecting the coastal areas. Many health problems are prevalent among the inhabitants due to their frequent use of salted water. The health of women living along the coastline is getting progressively compromised due to salinity intrusion. Objectives The study aims to determine menstrual health practices and other health problems faced by women in the coastal region of Bangladesh. Methods The study was conducted using a survey research design from May 2023 to October 2023 on rural women aged 18 to 45 years, who lived in the Bangladeshi village of Koyra Upazila in the Khulna district. The sample size of the study was 101. Open- and closed-ended questions from a planned interview schedule were used to gather primary data. Additional information from appropriate sources, e.g., newspapers, publications, and books, was utilized to enhance the comprehensiveness of statistical analysis and support rationality. A p-value of 0.05 was considered significant. Statistical analysis was performed using STATA version 15 (StataCorp LLC, College Station, TX). Results Menstrual hygiene practices showed a higher prevalence of using fabric rags and reusing them after rinsing them in salt water (72.3%) than sanitary pads (25.7%). It was observed that the risk of diarrhea among tubewell water and rainwater users was significantly lowered by 0.25 times (95% CI = 0.06, 0.99; p = 0.049) and 0.06 times (95% CI = 0.01, 0.43; p = 0.005), respectively, compared to pond water users. Conclusion Salinity has a significant impact on the livelihoods and health of coastal women. The village women are unaware of the health risks of excessive saline water use. Establishing an adequate supply of freshwater reservoirs for the entire community throughout the year is an alternative for women to use as a source of water for hygiene necessities.
  6. Mohd Yusoff H, Heng PP, Hj Illias MR, Karrupayah S, Fadhli MA, Hod R
    Heliyon, 2024 Aug 15;10(15):e34599.
    PMID: 39157346 DOI: 10.1016/j.heliyon.2024.e34599
    BACKGROUND: Most construction mishaps were caused by scaffolding incidents despite implementing various safety measures, and the association with human factors like fatigue has been widely reported. This study aims to identify all high-risk task sequences involved during the erection of the most commonly used scaffold; the deviation from the standard protocol led to a substandard fatigue state, followed by content validation using the Fuzzy Delphi Method.

    METHODS: Qualitative exploration was conducted via focal group discussions (FGDs) involving 30 certified experts. The findings generated from FGDs were further validated by utilising the Fuzzy Delphi Method (FDM) by consulting 19 experts with extensive practical experience and leadership roles in scaffolding safety.

    RESULTS: The FGDs identified a total of 7 constructs and 50 items for task sequences involved in the tubular scaffold erection, namely construct Instruction (3 items), Preparation (3 items), Foundation (10 items), First Lift (8 items), Working Platform (7 items), Guardrails (5 items) and Second Lift (14 items). In the FDM validation process, the experts' consensus for each construct was fulfilled with a threshold value (d) ≤ 0.2; thus, all constructs were accepted. Experts' consensus for all items achieved an expert agreement of 75 % and above. Items ranking was conducted using average fuzzy numbers. The highest average fuzzy number documented was 0.8, while the lowest was 0.588. None of the items with the lowest ranking was discarded as all items perfectly fulfilled the second prerequisite and obtained excellent experts' agreement.

    CONCLUSIONS: The tool generated will help guide the development of a protocol for scaffolding safety management.

  7. Wong QQ, Ng KW, Haw SC
    MethodsX, 2024 Dec;13:102866.
    PMID: 39157818 DOI: 10.1016/j.mex.2024.102866
    Color-blind is a generic disability whereby the affected individuals are not given the opportunity to benefit from the various functions provided by color that would impact humans physically and psychologically. Although this disability is not fatal, it brought plenty of turbulence in the affected individuals' daily activities. This paper aims to develop a system for recognizing and detecting colors of clothes in images, improve accuracy by using advanced algorithms to handle lighting variations, and provide color matching recommendations to assist color-blind individuals in making informed choices when purchasing shirts. The proposed methodology for color recognition involves:•retrieving the RGB values of a given point from the input image and converting them into HSV values.•creating web application integrated with a machine learning model to classify and predict the corresponding color based on the HSV values.•predicting the color name with suggestions of matching colors will be displayed on the interface.
  8. Karupaiah T
    Am J Clin Nutr, 2024 Aug;120(2):281-282.
    PMID: 38816267 DOI: 10.1016/j.ajcnut.2024.05.005
    MeSH terms: Asia, Southeastern; Child, Preschool; Humans; Infant; Infant Nutritional Physiological Phenomena; Social Responsibility
  9. GBD 2019 MSK in Adolescents Collaborators
    Med, 2024 Aug 09;5(8):943-962.e6.
    PMID: 38834074 DOI: 10.1016/j.medj.2024.04.009
    BACKGROUND: This study aims to estimate the burden, trends, forecasts, and disparities of early musculoskeletal (MSK) disorders among individuals ages 15 to 39 years.

    METHODS: The global prevalence, years lived with disabilities (YLDs), disability-adjusted life years (DALYs), projection, and inequality were estimated for early MSK diseases, including rheumatoid arthritis (RA), osteoarthritis (OA), low back pain (LBP), neck pain (NP), gout, and other MSK diseases (OMSKDs).

    FINDINGS: More adolescents and young adults were expected to develop MSK disorders by 2050. Across five age groups, the rates of prevalence, YLDs, and DALYs for RA, NP, LBP, gout, and OMSKDs sharply increased from ages 15-19 to 35-39; however, these were negligible for OA before age 30 but increased notably at ages 30-34, rising at least 6-fold by 35-39. The disease burden of gout, LBP, and OA attributable to high BMI and gout attributable to kidney dysfunction increased, while the contribution of smoking to LBP and RA and occupational ergonomic factors to LBP decreased. Between 1990 and 2019, the slope index of inequality increased for six MSK disorders, and the relative concentration index increased for gout, NP, OA, and OMSKDs but decreased for LBP and RA.

    CONCLUSIONS: Multilevel interventions should be initiated to prevent disease burden related to RA, NP, LBP, gout, and OMSKDs among individuals ages 15-19 and to OA among individuals ages 30-34 to tightly control high BMI and kidney dysfunction.

    FUNDING: The Global Burden of Disease study is funded by the Bill and Melinda Gates Foundation. The project is funded by the Scientific Research Fund of Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital (2022QN38).

    MeSH terms: Adolescent; Adult; Arthritis, Rheumatoid/epidemiology; Female; Forecasting; Gout/epidemiology; Humans; Male; Osteoarthritis/epidemiology; Prevalence; Low Back Pain/epidemiology; Neck Pain/epidemiology; Health Status Disparities; Young Adult; Global Burden of Disease/trends
  10. Wong BC, Law SKK, Md Zoqratt MZH, Ayub Q, Tan HS
    R Soc Open Sci, 2024 Jun;11(6):232025.
    PMID: 39100177 DOI: 10.1098/rsos.232025
    Shigella causes shigellosis that requires antibiotic treatment in severe cases. Sublethal antibiotic concentrations can promote resistance, but their effect on antibiotic-sensitive bacteria before resistance development is unclear. This study investigated the effects of sublethal norfloxacin (NOR) challenges on a NOR-sensitive strain, Shigella sonnei UKMCC1015. Firstly, the whole genome of S. sonnei UKMCC1015 was assembled, and 45 antimicrobial resistance (AMR) genes were identified. Interestingly, transcriptomic analysis showed that low NOR levels do not change either the expression of the AMR genes or NOR targets such as gyrA. Instead, multiple ribosomal protein genes were downregulated, which could be attributed to decreased ribosomal protein promoter activity, modulated by elevated guanosine pentaphosphate and tetraphosphate (ppGpp) levels. This alarmone is involved in the bacterial stringent response during environmental stress, and it is mainly produced from the ppGpp synthetase (relA). Additionally, we observed that a relA overexpression (prolonged period of elevated ppGpp levels) may negatively affect the NOR tolerance of the bacteria. In conclusion, this study revealed that a NOR-sensitive strain responds differently to sublethal NOR than commonly reported in resistant strains.
  11. Bashir MA, Qing L, Dewil R, Xi Z, Razi U, Jingting L
    J Environ Manage, 2024 Sep;367:122058.
    PMID: 39106799 DOI: 10.1016/j.jenvman.2024.122058
    This study explores the association between natural resources rent, industrial value addition, banking development, renewable energy consumption, total reserves and environmental quality in the dynamic context of BRICS nations from 1995 to 2019. BRICS economies are responsible for global greenhouse gas emissions and confront pressing environmental challenges, including biodiversity loss and pollution. For the dependent variable, the environmental quality, the study constructed a composite index using PCA for all environmental indicators where interdependencies among variables are prevalent. Besides this, the study incorporates two interaction terms to determine the indirect influence of natural resource rent and banking development on environmental quality through the mediating role of industrial value addition. By applying the CS-ARDL technique, the outcomes of the study reveal that natural resources rent, industrial value addition, and total reserves positively influence ENQ, indicating the adverse consequences of industrial sectors on environmental quality and continued environmental degradation due to resource-intensive industrial production, underscoring the urgency of sustainable resource management. In contrast, banking development and renewable energy consumption negatively influence ENQ, signifying the positive role of developed banking sectors in supporting eco-friendly projects and enhancing environmental quality. This study offers valuable insights for policy interventions to foster a more sustainable future.
    MeSH terms: Natural Resources; Conservation of Natural Resources*; Industry; Renewable Energy*
  12. Zubir MZ, Noor AA, Mohd Rizal AM, Harith AA, Abas MI, Zakaria Z, et al.
    PLoS One, 2024;19(8):e0293694.
    PMID: 39141630 DOI: 10.1371/journal.pone.0293694
    The efficiency and productivity evaluation process commonly employs Data Envelopment Analysis (DEA) as a performance tool in numerous fields, such as the healthcare industry (hospitals). Therefore, this review examined various hospital-based DEA articles involving input and output variable selection approaches and the recent DEA developments. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology was utilised to extract 89 English articles containing empirical data between 2014 and 2022 from various databases (Web of Science, Scopus, PubMed, ScienceDirect, Springer Link, and Google Scholar). Furthermore, the DEA model parameters were determined using information from previous studies, while the approaches were identified narratively. This review grouped the approaches into four sections: literature review, data availability, systematic method, and expert judgement. An independent single strategy or a combination with other methods was then applied to these approaches. Consequently, the focus of this review on various methodologies employed in hospitals could limit its findings. Alternative approaches or techniques could be utilised to determine the input and output variables for a DEA analysis in a distinct area or based on different perspectives. The DEA application trend was also significantly similar to that of previous studies. Meanwhile, insufficient data was observed to support the usability of any DEA model in terms of fitting all model parameters. Therefore, several recommendations and methodological principles for DEA were proposed after analysing the existing literature.
    MeSH terms: Hospitals*; Humans; Efficiency, Organizational*
  13. Tian Z, Albakry NS, Du Y
    PLoS One, 2024;19(8):e0308201.
    PMID: 39141655 DOI: 10.1371/journal.pone.0308201
    Nighttime driving presents a critical challenge to road safety due to insufficient lighting and increased risk of driver fatigue. Existing methods for monitoring driver fatigue, mainly focusing on behavioral analysis and biometric monitoring, face significant challenges under low-light conditions. Their effectiveness, especially in dynamic lighting environments, is limited by their dependency on specific environmental conditions and active driver participation, leading to reduced accuracy and practicality in real-world scenarios. This study introduces a novel 'Illumination Intelligent Adaptation and Analysis Framework (IIAAF)', aimed at addressing these limitations and enhancing the accuracy and practicality of driver fatigue monitoring under nighttime low-light conditions. The IIAAF framework employs a multidimensional technology integration, including comprehensive body posture analysis and facial fatigue feature detection, per-pixel dynamic illumination adjustment technology, and a light variation feature learning system based on Convolutional Neural Networks (CNN) and time-series analysis. Through this integrated approach, the framework is capable of accurately capturing subtle fatigue signals in nighttime driving environments and adapting in real-time to rapid changes in lighting conditions. Experimental results on two independent datasets indicate that the IIAAF framework significantly improves the accuracy of fatigue detection under nighttime low-light conditions. This breakthrough not only enhances the effectiveness of driving assistance systems but also provides reliable scientific support for reducing the risk of accidents caused by fatigued driving. These research findings have significant theoretical and practical implications for advancing intelligent driving assistance technology and improving nighttime road safety.
    MeSH terms: Accidents, Traffic/prevention & control; Adult; Automobile Driving*; Fatigue*; Female; Humans; Lighting*; Male; Neural Networks (Computer)
  14. Sadeque MG, Yusoff Z, Roslee M, Hashim SJ, Mohd Marzuki AS, Lees J, et al.
    PLoS One, 2024;19(8):e0306738.
    PMID: 39141686 DOI: 10.1371/journal.pone.0306738
    In order to implement the fifth generation (5G) communication system for a large number of users, the governments of many countries nominated the low 5G frequency band between 3.3 and 4.3 GHz. This paper proposes a wideband RFPA by designing the input matching network (MN) and output MN of the device using the simplified real frequency technique (SRFT) and the harmonic tuning network. The load-pull and source-pull is applied at multiple points for 100 MHz intervals over the bandwidth to obtain the optimum impedances at the output and input of the 10W Gallium Nitride (GaN) Cree CGH40010F device. To verify the design, the RFPA is simulated, and the performance is measured between 3.3 and 4.3 GHz. According to experimental findings, the measured drain efficiency (DE) throughout the whole bandwidth ranged from 57.5 to 67.5% at the output power of 40 dBm. Moreover, at the 1 dB compression point between 39.2 and 42.2 dBm output power, the drain efficiency (DE) achieves a high value of 81.2% with an output power of 42.2 dBm at a frequency of 3.3 GHz. The RFPA can obtain a maximum gain of 12.4 dB at 3.5 GHz. The linearity of the RFPA with a two-tone signal is measured and the value is less than -22 dBc all over the band.
    MeSH terms: Amplifiers, Electronic; Equipment Design; Wireless Technology/instrumentation
  15. Ramadan MNA, Ali MAH, Khoo SY, Alkhedher M, Alherbawi M
    Ecotoxicol Environ Saf, 2024 Sep 15;283:116856.
    PMID: 39151373 DOI: 10.1016/j.ecoenv.2024.116856
    Air pollution in industrial environments, particularly in the chrome plating process, poses significant health risks to workers due to high concentrations of hazardous pollutants. Exposure to substances like hexavalent chromium, volatile organic compounds (VOCs), and particulate matter can lead to severe health issues, including respiratory problems and lung cancer. Continuous monitoring and timely intervention are crucial to mitigate these risks. Traditional air quality monitoring methods often lack real-time data analysis and predictive capabilities, limiting their effectiveness in addressing pollution hazards proactively. This paper introduces a real-time air pollution monitoring and forecasting system specifically designed for the chrome plating industry. The system, supported by Internet of Things (IoT) sensors and AI approaches, detects a wide range of air pollutants, including NH3, CO, NO2, CH4, CO2, SO2, O3, PM2.5, and PM10, and provides real-time data on pollutant concentration levels. Data collected by the sensors are processed using LSTM, Random Forest, and Linear Regression models to predict pollution levels. The LSTM model achieved a coefficient of variation (R²) of 99 % and a mean absolute percentage error (MAE) of 0.33 for temperature and humidity forecasting. For PM2.5, the Random Forest model outperformed others, achieving an R² of 84 % and an MAE of 10.11. The system activates factory exhaust fans to circulate air when high pollution levels are predicted to occur in the next hours, allowing for proactive measures to improve air quality before issues arise. This innovative approach demonstrates significant advancements in industrial environmental monitoring, enabling dynamic responses to pollution and improving air quality in industrial settings.
    MeSH terms: Artificial Intelligence; Forecasting*; Industry; Volatile Organic Compounds/analysis
  16. Khan MSJ, Sidek LM, Kumar P, Alkhadher SAA, Basri H, Zawawi MH, et al.
    Int J Biol Macromol, 2024 Aug 14.
    PMID: 39151852 DOI: 10.1016/j.ijbiomac.2024.134701
    To maintain human health and purity of drinking water, it is crucial to eliminate harmful chemicals such as nitrophenols and azo dyes, considering their natural presence in the surroundings. In this particular research study, the application of machine learning techniques was employed in order to make an estimation of the performance of reduction catalysis in the context of ecologically detrimental nitrophenols and azo dyes contaminants. The catalyst utilized in the experiment was Ag@CMC, which proved to be highly effective in eliminating various contaminants found in water, like 4-nitrophenol (4-NP). The experiments were carefully conducted at various time intervals, and the machine learning procedures used in this study were all employed to forecast catalytic performance. The evaluation of the performance of such algorithms were done by means of Mean Absolute Error. The noteworthy findings of this research indicated that the ADAM and LSTM algorithm exhibited the most favourable performance in the case of toxic compounds i.e. 4-NP. Moreover, the Ag@CMC catalyst demonstrated an impressive reduction efficiency of 98 % against nitrophenol in just 8 min. Thus, based on these compelling results, it can be concluded that Ag@CMC works as a highly effective catalyst for practical applications in real-world scenarios.
  17. Zhang H, Zhou XD, Shapiro MD, Lip GYH, Tilg H, Valenti L, et al.
    Metabolism, 2024 Nov;160:155999.
    PMID: 39151887 DOI: 10.1016/j.metabol.2024.155999
    BACKGROUND: Common metabolic diseases, such as type 2 diabetes mellitus (T2DM), hypertension, obesity, hypercholesterolemia, and metabolic dysfunction-associated steatotic liver disease (MASLD), have become a global health burden in the last three decades. The Global Burden of Disease, Injuries, and Risk Factors Study (GBD) data enables the first insights into the trends and burdens of these metabolic diseases from 1990 to 2021, highlighting regional, temporal and differences by sex.

    METHODS: Global estimates of disability-adjusted life years (DALYs) and deaths from GBD 2021 were analyzed for common metabolic diseases (T2DM, hypertension, obesity, hypercholesterolemia, and MASLD). Age-standardized DALYs (mortality) per 100,000 population and annual percentage change (APC) between 1990 and 2021 were estimated for trend analyses. Estimates are reported with uncertainty intervals (UI).

    RESULTS: In 2021, among five common metabolic diseases, hypertension had the greatest burden (226 million [95 % UI: 190-259] DALYs), whilst T2DM (75 million [95 % UI: 63-90] DALYs) conferred much greater disability than MASLD (3.67 million [95 % UI: 2.90-4.61]). The highest absolute burden continues to be found in the most populous countries of the world, particularly India, China, and the United States, whilst the highest relative burden was mostly concentrated in Oceania Island states. The burden of these metabolic diseases has continued to increase over the past three decades but has varied in the rate of increase (1.6-fold to 3-fold increase). The burden of T2DM (0.42 % [95 % UI: 0.34-0.51]) and obesity (0.26 % [95 % UI: 0.17-0.34]) has increased at an accelerated rate, while the rate of increase for the burden of hypertension (-0.30 % [95 % UI: -0.34 to -0.25]) and hypercholesterolemia (-0.33 % [95 % UI: -0.37 to -0.30]) is slowing. There is no significant change in MASLD over time (0.05 % [95 % UI: -0.06 to 0.17]).

    CONCLUSION: In the 21st century, common metabolic diseases are presenting a significant global health challenge. There is a concerning surge in DALYs and mortality associated with these conditions, underscoring the necessity for a coordinated global health initiative to stem the tide of these debilitating diseases and improve population health outcomes worldwide.

    MeSH terms: Diabetes Mellitus, Type 2/epidemiology; Female; Humans; Hypertension/epidemiology; Male; Obesity/complications; Obesity/epidemiology; Risk Factors; Global Health*; Cost of Illness; Quality-Adjusted Life Years
  18. Lee JSF, Cohen RM, Khan RA, Burry J, Casas EC, Chung HY, et al.
    Lancet Glob Health, 2024 Sep;12(9):e1552-e1559.
    PMID: 39151989 DOI: 10.1016/S2214-109X(24)00225-0
    Amphotericin B has long been crucial for treating many serious infectious diseases, such as invasive fungal infections and visceral leishmaniasis, particularly for patients who are immunocompromised, including those with advanced HIV infection. The conventional amphotericin B deoxycholate formulation has largely been replaced in high-income countries with liposomal amphotericin B (LAmB), which has many advantages, including lower rates of adverse events, such as nephrotoxicity and anaemia. Despite an evident need for LAmB in low-income and middle-income countries, where mortality from invasive fungal infections is still substantial, many low-income and middle-income countries still often use the amphotericin B deoxycholate formulation because of a small number of generic formulations and the high price of the originator LAmB. The pricing of LAmB is also highly variable between countries. Overcoming supply barriers through the availability of additional quality-assured, generic formulations of LAmB at accessible prices would substantially facilitate equitable access and have a substantial effect on mortality attributable to deadly fungal infections.
    MeSH terms: Developing Countries; Health Services Accessibility; Humans; Global Health; Drugs, Generic/economics; Drugs, Generic/supply & distribution
  19. Adnan WFW, Ismail EHE, Azmi AS, Zin AAM, Elisabeth AM
    PMID: 39152085 DOI: 10.1016/j.ejogrb.2024.08.009
    INTRODUCTION: Placental chorioangioma is a benign placenta tumour. Majority of cases, the placental chorioangioma are small and no maternal and fetal complications. We highlight a case diagnosed with large placental chorioangioma with an intrapartum event associated with significant maternal and perinatal morbidity.

    METHOD: A 38-year-old woman, Gravida 3 Para 1, with one previous miscarriage, presented with preterm labour at 33 weeks gestation. Antenatally, she was referred to a feto-maternal specialist for finding a placental tumour size 12 × 10 cm. Features are consistent with placental chorioangioma with polyhydramnios. The anomaly scan was normal. Antenatal fetal surveillance with Doppler studies were normal.

    RESULTS: During this admission, corticosteroid was given together with a tocolytic agent and opioid analgesia. Unfortunately, the labour progressed, and the patient felt reduced in fetal movement. The cardiotograph showed suspicious tracing. We proceed with emergency caesarean delivery. The placenta was sent for histopathology assessment which confirmed a large placental chorioangioma. The baby was born with Apgar's score of 9 at 1 min, pH of 7.28 and lactate of 7.28 with anaemia and thrombocytopenia. The uterus developed intermittent uterine atony, and the uterotonic agent was given. She recovered well post-delivery. The baby was admitted to the neonatal intensive care unit (NICU) and received a blood product transfusion and discharged from NICU on day 15 of life.

    DISCUSSION: Large placental chorioangioma is associated with polyhydramnios, preterm labour, postpartum haemorrhage, fetal anaemia, fetal distress, fetal hydrops and possible perinatal death. Multidisciplinary team involvement with feto-maternal specialists, anaesthetic and neonatologists would improve the outcome of both mother and fetus.

  20. Hakimi MH, Alqudah M, Mustapha KA, Kahal AY, Lathbl MA, Rahim A, et al.
    Sci Rep, 2024 Aug 16;14(1):19033.
    PMID: 39152178 DOI: 10.1038/s41598-024-68416-5
    Organic rich sedimentary rocks of the Late Cretaceous Muwaqqar Formation from the Lajjun outcrop in the Lajjun Sub-basin, Western Central Jordan were geochemically analyzed. This study integrates kerogen microscopy of the isolated kerogen from 10 oil shale samples with a new finding from unconventional geochemical methods [i.e., ultimate elemental (CHNS), fourier transform infrared spectroscopy and pyrolysis-gas chromatography (Py-GC)] to decipher the molecular structure of the analyzed isolated kerogen fraction and evaluate the kerogen composition and characteristics. The optical kerogen microscopy shows that the isolated kerogen from the studied oil shales is originated from marine assemblages [i.e., algae, bituminite and fluorescence amorphous organic matter] with minor amounts of plant origin organic matter (i.e., spores). This finding suggests that the studied kerogen is hydrogen-rich kerogen, and has the potential to generate high paraffinic oil with low wax content. The dominance of such hydrogen-rich kerogen (mainly Type II) was confirmed from the multi-geochemical ratios, including high hydrogen/carbon atomic of more than 1.30 and high A-factor of more than 0.60. This claim agrees with the molecular structure of the kerogen derived from Py-GC results, which suggest that the studied kerogen is mainly Type II-S kerogen exhibiting the possibility of producing high sulphur oils during earlier stages of diagenesis, according to bulk kinetic modeling. The kinetic models of the isolated kerogen fraction suggest that the kerogen conversion, in coincidence with a vitrinite reflectance range of 0.55-0.60%, commenced at considerably lower temperature value ranges between 100 and 106 °C, which have produced oils during the early stage of oil generation. The kinetic models also suggest that the commercial amounts of oil can generate by kerogen conversion of up to 50% during the peak stage of oil window (0.71-0.83%) at relatively low geological temperature values in the range of 122-138 °C. Therefore, further development of the Muwaqqar oil shale successions is highly approved in the shallowly buried stratigraphic succession in the Lajjun Sub-basin, Western Central Jordan.
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