Displaying publications 1 - 20 of 161 in total

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  1. Rahman A, Othman N, Kuddus MA, Hasan MZ
    J Infect Public Health, 2024 May;17(5):833-842.
    PMID: 38547630 DOI: 10.1016/j.jiph.2024.02.019
    BACKGROUND: Child malnutrition risk factors are globally recognized, but the specific impact of the COVID-19 pandemic on the prevalence of child malnutrition, considering socioeconomic burdens and changes in family lifestyles, remains underexplored. This study aims to identify the significance of COVID-19-related factors in relation to the prevalence of child malnutrition in Selangor, Malaysia.

    METHODS: Purposive sampling was employed in this pilot study to select the households with under-5 children and, a structured questionnaire was developed to gather data. Chi-squared tests, logistic regression modelling and World Health Organisation AnthroPlus software-based visualization were used for analyses.

    RESULTS: The present study's findings indicate that demographic and social factors, including 'Citizenship,' 'Type of House,' 'Number of Earning Members,' 'Father's Highest Educational Level,' and 'Number of Children in a Family,' have a statistically significant association with Wasting. Additionally, the mother's 'Highest Educational Level' is found to be linked to underweight prevalence. Within COVID-19 factors, "COVID-19 Impact on Employment/Business" demonstrated significance for both stunting and wasting. Multivariate analysis revealed disparities in childhood malnutrition by gender, age, and factors such as "COVID-19 impact on children's physical activity" and "COVID-19 impact on children's decrease in health over the last two weeks."

    CONCLUSIONS: This study identified COVID-19 factors alongside sociodemographic variables with statistically significant relationships impacting childhood malnutrition in Selangor, Malaysia. The results underscored the substantial influence of the COVID-19 pandemic on child malnutrition prevalence. Decision-makers at family and community levels can benefit by considering these factors in their actions. However, the study's limitation lay in its dataset, urging larger-scale analyses to explore further sub-categories of the examined variables.

  2. Abd Rahman A, Kamardin K, Yamada Y, Takahashi M
    Heliyon, 2024 Mar 30;10(6):e28061.
    PMID: 38545209 DOI: 10.1016/j.heliyon.2024.e28061
    In radio wave hyperthermia therapy, array antenna configuration was mainly studied to generate a small spot at the diseased part. Array antennas have the flexibility in controlling radiation performance, such as spot positions, by using their numerous radiating elements. However, the flexibility is achieved at the expense of antenna structure complexity. On the other hand, a lens antenna can concentrate radio waves into a small spot by forming a lens shape. The simplicity of a lens antenna structure lends itself to easy handling in a practical application. Moreover, the frequency independence of the lens antenna allows for a more flexible selection of hyperthermia therapy frequencies. Therefore, the lens antenna is selected as a focusing antenna in this paper. The lens shaping method and the temperature increment measurement are the main contents of this paper. The designed lens has a diameter of 30 cm, a focusing distance of 30 cm, and a working frequency of 2.45 GHz. A thin lens design method is applied to reduce lens weight. Firstly, the focusing ability of the designed lens is ensured by comparing the spot size results of electromagnetic (EM) simulation with its theoretical value. A spot size of 1.77 cm is obtained in both cases. Next, the temperature increment is examined by EM simulations. The temperature at the 2 cm tumor was increased to 41 °C from the human body temperature of 37 °C by an input power of 10 Watts (W). For the temperature increment measurement, a tumor within human body phantom is utilized and the available input power is reduced to 4 W. The tumor temperature increased from 21.5 °C of room temperature to 24.4 °C, which was captured by a thermal imaging camera. As a result, the functionality of the lens antenna for hyperthermia therapy is verified.
  3. Jahangir CA, Page DB, Broeckx G, Gonzalez CA, Burke C, Murphy C, et al.
    J Pathol, 2024 Mar;262(3):271-288.
    PMID: 38230434 DOI: 10.1002/path.6238
    Recent advances in the field of immuno-oncology have brought transformative changes in the management of cancer patients. The immune profile of tumours has been found to have key value in predicting disease prognosis and treatment response in various cancers. Multiplex immunohistochemistry and immunofluorescence have emerged as potent tools for the simultaneous detection of multiple protein biomarkers in a single tissue section, thereby expanding opportunities for molecular and immune profiling while preserving tissue samples. By establishing the phenotype of individual tumour cells when distributed within a mixed cell population, the identification of clinically relevant biomarkers with high-throughput multiplex immunophenotyping of tumour samples has great potential to guide appropriate treatment choices. Moreover, the emergence of novel multi-marker imaging approaches can now provide unprecedented insights into the tumour microenvironment, including the potential interplay between various cell types. However, there are significant challenges to widespread integration of these technologies in daily research and clinical practice. This review addresses the challenges and potential solutions within a structured framework of action from a regulatory and clinical trial perspective. New developments within the field of immunophenotyping using multiplexed tissue imaging platforms and associated digital pathology are also described, with a specific focus on translational implications across different subtypes of cancer. © 2024 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.
  4. Rahman A, Kuddus MA, Paul AK, Hasan MZ
    Heliyon, 2024 Feb 29;10(4):e25945.
    PMID: 38384567 DOI: 10.1016/j.heliyon.2024.e25945
    COVID-19 is a significant public health problem around the globe, including in Australia. Despite this, Australia's Ministry of Health has expanded COVID-19 control measures widely, logistical trials exist, and the disease burden still needs more clarity. One of the best methods to comprehend the dynamics of disease transmission is by mathematical modeling of COVID-19, which also makes it possible to quantify factors in many places, including Australia. In order to understand the dynamics of COVID-19 in Australia, we examine a mathematical modeling framework for the virus in this study. Australian COVID-19 actual incidence data from January to December 2021 was used to calibrate the model. We also performed a sensitivity analysis of the model parameters and found that the COVID-19 transmission rate was the primary factor in determining the basic reproduction number (R0). Gradually influential intervention policies were established, with accurate effect and coverage regulated with the help of COVID-19 experts in Australia. We simulated data for the period from April 2022 to August 2023. To ascertain which of these outcomes is most effective in lowering the COVID-19 burden, we here assessed the COVID-19 burden (as shown by the number of incident cases and mortality) under a range of intervention scenarios. Regarding the policy of single intervention, the fastest and most efficient way to lower the incidence of COVID-19 is via increasing the first-dose immunization rate, while an improved treatment rate for the afflicted population is also helps to lower mortality in Australia. Furthermore, our results imply that integrating more therapies at the same time increases their efficacy, particularly for mortality, which significantly reduced with a moderate effort, while lowering the number of COVID-19 instances necessitates a major and ongoing commitment.
  5. Razali NSC, Lam KW, Rajab NF, Jamal ARA, Kamaludin NF, Chan KM
    Genes Environ, 2024 Feb 01;46(1):4.
    PMID: 38303058 DOI: 10.1186/s41021-023-00297-y
    BACKGROUND: Previously, we have reported on the two curcuminoid analogues with piperidone derivatives, namely FLDP-5 and FLDP-8 have more potent anti-proliferative and anti-migration effects than curcumin. In this study, we further investigated the mode of cell death and the mechanism involved in the cell death process induced by these analogues on human glioblastoma LN-18 cells.

    RESULTS: The FLDP-5 and FLDP-8 curcuminoid analogues induced LN-18 cell death through apoptosis in a concentration-dependent manner following 24 h of treatment. These analogues induced apoptosis in LN-18 cells through significant loss of mitochondrial mass and mitochondrial membrane potential (MMP) as early as 1-hour of treatment. Interestingly, N-acetyl-l-cysteine (NAC) pretreatment did not abolish the apoptosis induced by these analogues, further confirming the cell death process is independent of ROS. However, the apoptosis induced by the analogues is caspases-dependent, whereby pan-caspase pretreatment inhibited the curcuminoid analogues-induced apoptosis. The apoptotic cell death progressed with the activation of both caspase-8 and caspase-9, which eventually led to the activation of caspase-3, as confirmed by immunoblotting. Moreover, the existing over-expression of miRNA-21 in LN-18 cells was suppressed following treatment with both analogues, which suggested the down-regulation of the miRNA-21 facilitates the cell death process.

    CONCLUSION: The FLDP-5 and FLDP-8 curcuminoid analogues downregulate the miRNA-21 expression and induce extrinsic and intrinsic apoptotic pathways in LN-18 cells.

  6. Jafri JA, Mohd Amin SI, Abdul Rahman A, Mohd Nor S
    Heliyon, 2024 Jan 15;10(1):e22980.
    PMID: 38163181 DOI: 10.1016/j.heliyon.2023.e22980
    Fintech's development has amplified cybercrime, prompting trust and security concerns in banking. While earlier research predominantly viewed Fintech adoption through a tech-centric lens, emphasising its benefits, there is a paucity of studies on cognitive resistance arising from Fintech controversies. This review synthesises previous Fintech literature on behavioural intentions in banking, emphasising the role of trust, security, and other factors, and highlights existing research gaps. Utilising the ROSES (RepOrting standards for Systematic Evidence Syntheses) framework, a Systematic Literature Review was conducted, analysing 26 articles from Scopus and Web of Science (WoS) databases (2009-2022). Thematic analysis produces five primary themes (UTAUT2 variables; risk; trust; quality; and other), branching into 24 sub-themes. The weight analysis emphasises the best well-utilised predictors like performance expectancy, trust, security, perceived usefulness, and attitude. In addition, the review identifies research gaps and offers recommendations for future studies using the TCCM (Theory, Context, Constructs, and Method) framework. This research provides insights to Fintech companies and regulatory authorities on the preferred attributes of Fintech services that can enhance their adoption within the banking sector.
  7. Che Hassan N, Abdul-Rahman A, Ab Hamid SN, Mohd Amin SI
    PLoS One, 2024;19(4):e0299004.
    PMID: 38635510 DOI: 10.1371/journal.pone.0299004
    This study aims to determine, from the perspective of investors, the factors that predict Islamic unit trust (IUT) investment intentions. Additionally, this paper examines the moderating effect of fintech self-efficacy (FSE) on the relationship between attitude and investment intention. A total of 392 data were collected from IUT investors in Malaysia and analyzed using partial least squares structural equation modeling. The findings reveal that subjective norms have the highest impact on investment intention, followed by attitude and FSE, while religiosity is not significantly associated with investment intention in Islamic unit trust funds. Attitude significantly mediates religiosity-intention and Islamic financial literacy-intention relationships. FSE significantly moderates the attitude-intention relationship. The results shed light on the key factors that increase investing behavior and have direct managerial implications with regard to marketing strategies and target markets. These findings suggest that IUT service providers should take the lead in attracting customers through effective and targeted marketing initiatives, particularly by enhancing customers' FSE and capabilities. This study provides empirical evidence on the interrelationships between Islamic financial literacy, religiosity, and FSE in examining investors' behavior using the Theory of Planned Behavior framework. The study explores the moderating role of FSE on the relationship between attitude and investment intention.
  8. Rahat MR, Mimi HA, Islam SA, Kamruzzaman M, Ferdous J, Begum M, et al.
    Appl Radiat Isot, 2023 Dec;202:111047.
    PMID: 37782983 DOI: 10.1016/j.apradiso.2023.111047
    Many minerals and compounds show thermoluminescence (TL) properties but only a few of them can meet the requirements of an ideal dosimeter. Several phosphate materials have been studied for low-dose dosimetryin recent times. Among the various phosphates, ABPO4-type material shows interesting TL properties. In this study, an ABPO4-type (A = Lithium, B=Calcium) phosphor is synthesized using a modified solid-state diffusion method. Temperature is maintained below 800 °C in every step of phosphor preparation to obtain the pure phase of Lithium calcium phosphate (LiCaPO4). The purpose of this work is to synthesize LiCaPO4 using a simple method, examine its structural and luminescence properties in order to gain a deeper understanding of its TL characteristics. The general TL properties, such as TL glow curve, dose linearity, sensitivity, and fading, are investigated. Additionally, this study aims to determine various kinetic parameters through Glow Curve Deconvolution (GCD) method using the Origin Lab software together with the Chen model. XRD analysis confirmed the phase purity of the phosphor with a rhombohedral structure. Lattice parameters, unit cell volume, grain size, dislocated density, and microstrain were also calculated from XRD data. Raman analysis and Fourier Transform Infrared analysis were used to collect information about molecular bonds, vibrations, identity, and structure of the phosphor. To investigate TL properties and associated kinetic parameters, the phosphor was irradiated with 6.0 MV (photon energy) and 6.0 MeV (electron energy) from a linear accelerator for doses ranging from 0.5 Gy to 6.0 Gy. For both photon and electron energy, TL glow curves have two identical peaks near 200 °C and 240 °C.The TL glow curves for 0.5 Gy-6 Gy are deconvoluted, then fitted with the appropriate model and then calculated the kinetic parameters. Kinetic parameters such as geometric factor (μg), order of kinetics, activation energy (E), and frequency factor (s) are obtained from Chen's peak shape method. The dose against the TL intensity curve shows that the response is almost linear in the investigated dose range. For photon and electron energy, the phosphor is found to be the most sensitive at 2.0 Gy and 4.0 Gy, respectively. The phosphor shows a low fading and after 28 days of exposure, it shows a signal loss of better than 3%. The studied TL properties suggest the suitability of LiCaPO4 in radiation dosimetry and associated fields.
  9. Mustaffa SN, Md Yatim N, Abdul Rashid AR, Md Yatim N, Pithaih V, Sha'ari NS, et al.
    Heliyon, 2023 Dec;9(12):e22926.
    PMID: 38125452 DOI: 10.1016/j.heliyon.2023.e22926
    Uric acid is a waste product of the human body where high levels of it or hyperuricemia can lead to gout, kidney disease and other health issues. In this paper, Finite Difference Time Doman (FDTD) simulation method was used to develop a plasmonic optical sensor to detect uric acid with molarity ranging from 0 to 3.0 mM. A hybrid layer of gold-zinc oxide (Au-ZnO) was used in this Kretschmann-based Surface Plasmon Resonance (K-SPR) technique with angular interrogation at 670 nm and 785 nm visible optical wavelengths. The purpose of this study is to observe the ability of the hybrid material as a sensing performance enhancer for differentiating between healthy and unhealthy uric acid levels based on the refractive index values from previous study. Upon exposure to 670 nm wavelength, the average sensitivity of this sensor was found to be 0.028°/mM with a linearity of 98.67 % and Q-factor value of 0.0053 mM-1. While at 785 nm, the average sensitivity is equal to 0.0193°/mM with slightly lower linearity at 94.46 % and Q-factor value of 0.0076 mM-1. The results have proven the ability of hybrid material Au-ZnO as a sensing performance enhancer for detecting uric acid when compared with bare Au and can be further explored in experimental work.
  10. Liu Y, Abdul Rahman A, Amin SIM, Ja'afar R
    Environ Sci Pollut Res Int, 2023 Oct;30(46):103164-103178.
    PMID: 37682439 DOI: 10.1007/s11356-023-29496-4
    Digital finance is an innovative financial model of great significance for sustainable economic growth. By constructing indicators of sustainable economic growth, we explore the impact of digital finance on sustainable economic growth using the fixed effect model, mediating effect model, threshold regression model, and dynamic spatial Dubin model. The study finds that digital finance can drive sustainable economic growth, and the robustness and endogenous treatment results strongly verify this. Digital finance promotes sustainable growth mainly through technological innovation. In addition, with technological innovation and the development of renewable energy, there is a significant nonlinear relationship between digital finance and sustainable economic growth. Finally, the spatial spillover effect results show that digital finance's impact on sustainable economic growth has a positive effect, whether it is a direct effect or an indirect effect. This article provides possible ideas for digital finance to promote sustainable economic growth.
  11. Page DB, Broeckx G, Jahangir CA, Verbandt S, Gupta RR, Thagaard J, et al.
    J Pathol, 2023 Aug;260(5):514-532.
    PMID: 37608771 DOI: 10.1002/path.6165
    Modern histologic imaging platforms coupled with machine learning methods have provided new opportunities to map the spatial distribution of immune cells in the tumor microenvironment. However, there exists no standardized method for describing or analyzing spatial immune cell data, and most reported spatial analyses are rudimentary. In this review, we provide an overview of two approaches for reporting and analyzing spatial data (raster versus vector-based). We then provide a compendium of spatial immune cell metrics that have been reported in the literature, summarizing prognostic associations in the context of a variety of cancers. We conclude by discussing two well-described clinical biomarkers, the breast cancer stromal tumor infiltrating lymphocytes score and the colon cancer Immunoscore, and describe investigative opportunities to improve clinical utility of these spatial biomarkers. © 2023 The Pathological Society of Great Britain and Ireland.
  12. Thagaard J, Broeckx G, Page DB, Jahangir CA, Verbandt S, Kos Z, et al.
    J Pathol, 2023 Aug;260(5):498-513.
    PMID: 37608772 DOI: 10.1002/path.6155
    The clinical significance of the tumor-immune interaction in breast cancer is now established, and tumor-infiltrating lymphocytes (TILs) have emerged as predictive and prognostic biomarkers for patients with triple-negative (estrogen receptor, progesterone receptor, and HER2-negative) breast cancer and HER2-positive breast cancer. How computational assessments of TILs might complement manual TIL assessment in trial and daily practices is currently debated. Recent efforts to use machine learning (ML) to automatically evaluate TILs have shown promising results. We review state-of-the-art approaches and identify pitfalls and challenges of automated TIL evaluation by studying the root cause of ML discordances in comparison to manual TIL quantification. We categorize our findings into four main topics: (1) technical slide issues, (2) ML and image analysis aspects, (3) data challenges, and (4) validation issues. The main reason for discordant assessments is the inclusion of false-positive areas or cells identified by performance on certain tissue patterns or design choices in the computational implementation. To aid the adoption of ML for TIL assessment, we provide an in-depth discussion of ML and image analysis, including validation issues that need to be considered before reliable computational reporting of TILs can be incorporated into the trial and routine clinical management of patients with triple-negative breast cancer. © 2023 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.
  13. Majid M, Ab Rahman A, Taib F
    Malays J Med Sci, 2023 Feb;30(1):152-161.
    PMID: 36875202 DOI: 10.21315/mjms2023.30.1.13
    BACKGROUND: Adverse childhood experiences (ACEs) are linked with health risk behaviours (HRBs). The study aimed to evaluate ACEs in the undergraduate health campus of a public university located in the northeast of Malaysia and determine their association with HRBs.

    METHODS: A cross-sectional study was performed by recruiting 973 undergraduate students at the health campus of a public university from December 2019 to June 2021. The World Health Organization (WHO) ACE-International Questionnaire and the Youth Risk Behaviour Surveillance System questionnaire were distributed using simple random sampling according to year of study and the selected batch of students. Descriptive statistics were used for demographic findings and logistic regression analyses were performed to determine the association between ACE and HRB.

    RESULTS: The 973 participants (male [n = 245] and female [n = 728]) had a median age of 22 years old. The prevalence of child maltreatment among the study population was 30.2%, 29.2%, 28.7%, 9.1% and 6.1% for emotional abuse, emotional neglect, physical abuse, physical neglect and sexual abuse, respectively, among both sexes. The most commonly reported household dysfunctions were parental divorce/separation (5.5%). Community violence was 39.3% among the surveyed participants. The highest prevalence of HRBs among respondents was 54.5% from physical inactivity. The findings confirmed that those exposed to ACEs were at risk of HRBs and that a higher number of ACEs was associated with a higher number of HRBs.

    CONCLUSION: ACEs were highly prevalent among participating university students, ranging from 2.6%-39.3%. Hence, child maltreatment is an important public health problem in Malaysia.

  14. Nguyen TN, Qureshi MM, Klein P, Yamagami H, Mikulik R, Czlonkowska A, et al.
    Neurology, 2023 Jan 24;100(4):e408-e421.
    PMID: 36257718 DOI: 10.1212/WNL.0000000000201426
    BACKGROUND AND OBJECTIVES: Declines in stroke admission, IV thrombolysis (IVT), and mechanical thrombectomy volumes were reported during the first wave of the COVID-19 pandemic. There is a paucity of data on the longer-term effect of the pandemic on stroke volumes over the course of a year and through the second wave of the pandemic. We sought to measure the effect of the COVID-19 pandemic on the volumes of stroke admissions, intracranial hemorrhage (ICH), IVT, and mechanical thrombectomy over a 1-year period at the onset of the pandemic (March 1, 2020, to February 28, 2021) compared with the immediately preceding year (March 1, 2019, to February 29, 2020).

    METHODS: We conducted a longitudinal retrospective study across 6 continents, 56 countries, and 275 stroke centers. We collected volume data for COVID-19 admissions and 4 stroke metrics: ischemic stroke admissions, ICH admissions, IVT treatments, and mechanical thrombectomy procedures. Diagnoses were identified by their ICD-10 codes or classifications in stroke databases.

    RESULTS: There were 148,895 stroke admissions in the 1 year immediately before compared with 138,453 admissions during the 1-year pandemic, representing a 7% decline (95% CI [95% CI 7.1-6.9]; p < 0.0001). ICH volumes declined from 29,585 to 28,156 (4.8% [5.1-4.6]; p < 0.0001) and IVT volume from 24,584 to 23,077 (6.1% [6.4-5.8]; p < 0.0001). Larger declines were observed at high-volume compared with low-volume centers (all p < 0.0001). There was no significant change in mechanical thrombectomy volumes (0.7% [0.6-0.9]; p = 0.49). Stroke was diagnosed in 1.3% [1.31-1.38] of 406,792 COVID-19 hospitalizations. SARS-CoV-2 infection was present in 2.9% ([2.82-2.97], 5,656/195,539) of all stroke hospitalizations.

    DISCUSSION: There was a global decline and shift to lower-volume centers of stroke admission volumes, ICH volumes, and IVT volumes during the 1st year of the COVID-19 pandemic compared with the prior year. Mechanical thrombectomy volumes were preserved. These results suggest preservation in the stroke care of higher severity of disease through the first pandemic year.

    TRIAL REGISTRATION INFORMATION: This study is registered under NCT04934020.

  15. Almas T, Rehman S, Mansour E, Khedro T, Alansari A, Malik J, et al.
    Biomed Pharmacother, 2022 May;149:112843.
    PMID: 35325848 DOI: 10.1016/j.biopha.2022.112843
    The coronavirus disease 2019 (COVID-19) has overwhelming healthcare systems globally. To date, a myriad of therapeutic regimens has been employed in an attempt to curb the ramifications of a severe COVID-19 infection. Amidst the ongoing pandemic, the advent and efficacious uptake of COVID-19 vaccination has significantly reduced disease-related hospitalizations and mortality. Nevertheless, many side-effects are being reported after COVID-19 vaccinations and myocarditis is the most commonly reported sequelae post vaccination. Majority of these diseases are associated with COVID-19 mRNA vaccines. Various studies have established a temporal relationship between these complications, yet the causality and the underlying pathogenesis remain hypothetical. In this review, we aim to critically appraise the available literature regarding the cardiovascular side effects of the various mRNA vaccines and the associated pathophysiology.
  16. Nguyen TN, Qureshi MM, Klein P, Yamagami H, Abdalkader M, Mikulik R, et al.
    J Stroke, 2022 May;24(2):256-265.
    PMID: 35677980 DOI: 10.5853/jos.2022.00752
    BACKGROUND AND PURPOSE: Recent studies suggested an increased incidence of cerebral venous thrombosis (CVT) during the coronavirus disease 2019 (COVID-19) pandemic. We evaluated the volume of CVT hospitalization and in-hospital mortality during the 1st year of the COVID-19 pandemic compared to the preceding year.

    METHODS: We conducted a cross-sectional retrospective study of 171 stroke centers from 49 countries. We recorded COVID-19 admission volumes, CVT hospitalization, and CVT in-hospital mortality from January 1, 2019, to May 31, 2021. CVT diagnoses were identified by International Classification of Disease-10 (ICD-10) codes or stroke databases. We additionally sought to compare the same metrics in the first 5 months of 2021 compared to the corresponding months in 2019 and 2020 (ClinicalTrials.gov Identifier: NCT04934020).

    RESULTS: There were 2,313 CVT admissions across the 1-year pre-pandemic (2019) and pandemic year (2020); no differences in CVT volume or CVT mortality were observed. During the first 5 months of 2021, there was an increase in CVT volumes compared to 2019 (27.5%; 95% confidence interval [CI], 24.2 to 32.0; P<0.0001) and 2020 (41.4%; 95% CI, 37.0 to 46.0; P<0.0001). A COVID-19 diagnosis was present in 7.6% (132/1,738) of CVT hospitalizations. CVT was present in 0.04% (103/292,080) of COVID-19 hospitalizations. During the first pandemic year, CVT mortality was higher in patients who were COVID positive compared to COVID negative patients (8/53 [15.0%] vs. 41/910 [4.5%], P=0.004). There was an increase in CVT mortality during the first 5 months of pandemic years 2020 and 2021 compared to the first 5 months of the pre-pandemic year 2019 (2019 vs. 2020: 2.26% vs. 4.74%, P=0.05; 2019 vs. 2021: 2.26% vs. 4.99%, P=0.03). In the first 5 months of 2021, there were 26 cases of vaccine-induced immune thrombotic thrombocytopenia (VITT), resulting in six deaths.

    CONCLUSIONS: During the 1st year of the COVID-19 pandemic, CVT hospitalization volume and CVT in-hospital mortality did not change compared to the prior year. COVID-19 diagnosis was associated with higher CVT in-hospital mortality. During the first 5 months of 2021, there was an increase in CVT hospitalization volume and increase in CVT-related mortality, partially attributable to VITT.

  17. Rahman A, Chowdhury MEH, Khandakar A, Tahir AM, Ibtehaz N, Hossain MS, et al.
    Comput Biol Med, 2022 Mar;142:105238.
    PMID: 35077938 DOI: 10.1016/j.compbiomed.2022.105238
    Harnessing the inherent anti-spoofing quality from electroencephalogram (EEG) signals has become a potential field of research in recent years. Although several studies have been conducted, still there are some vital challenges present in the deployment of EEG-based biometrics, which is stable and capable of handling the real-world scenario. One of the key challenges is the large signal variability of EEG when recorded on different days or sessions which impedes the performance of biometric systems significantly. To address this issue, a session invariant multimodal Self-organized Operational Neural Network (Self-ONN) based ensemble model combining EEG and keystroke dynamics is proposed in this paper. Our model is tested successfully on a large number of sessions (10 recording days) with many challenging noisy and variable environments for the identification and authentication tasks. In most of the previous studies, training and testing were performed either over a single recording session (same day) only or without ensuring appropriate splitting of the data on multiple recording days. Unlike those studies, in our work, we have rigorously split the data so that train and test sets do not share the data of the same recording day. The proposed multimodal Self-ONN based ensemble model has achieved identification accuracy of 98% in rigorous validation cases and outperformed the equivalent ensemble of deep CNN models. A novel Self-ONN Siamese network has also been proposed to measure the similarity of templates during the authentication task instead of the commonly used simple distance measure techniques. The multimodal Siamese network reduces the Equal Error Rate (EER) to 1.56% in rigorous authentication. The obtained results indicate that the proposed multimodal Self-ONN model can automatically extract session invariant unique non-linear features to identify and authenticate users with high accuracy.
  18. Humaryanto, Rahman AO, Fairuz Q
    Med J Malaysia, 2022 Mar;77(2):196-202.
    PMID: 35338627
    BACKGROUND: The application of green coffee bean extract is known to accelerate cutaneous wound healing. Fibronectin and fibroblast growth factors (FGFs) are essential in the wound healing process. However, data on the effect of the green coffee bean extract on fibronectin and FGFs are still limited.

    OBJECTIVE: This study aimed to determine the effect of the green coffee extract on the expression of fibronectin dan FGFs in rats' cutaneous wounds.

    MATERIALS AND METHODS: Forty male Sprague Dawney rats, aged 2-3 months, weighing 150-200 grams, were randomly divided into four groups. Cutaneous wounds were made 1.5 cm in diameter and under lidocaine anaesthesia. Group I without treatment was the control group, group II was given a green coffee extract dose of 15%, group III was given a green coffee extract dose of 30%, and group IV was given a green coffee extract dose of 100%. The treatment was applied every day without wound debridement. In each group, five rats were sacrificed after 7 days of treatment (proliferative phase), and the rest were sacrificed after 16 days of treatment (remodelling phase). An anatomical pathologist carried out the immunohistochemical examination to assess fibronectin and FGF expression using a blind method.

    RESULTS: The expressions of fibronectin and FGF in the treatment groups were slightly higher than those in the control group, both in the proliferative and remodelling phases. Only, fibronectin expression of the green coffee dose of 100% was significantly higher than the control group in the remodelling phase.

    CONCLUSION: The application of green coffee bean extract in cutaneous wounds could increase fibronectin expression.

  19. Yap WL, Rahman A, Baharuddin KA
    Med J Malaysia, 2022 Jan;77(1):107-109.
    PMID: 35087007
    Milk-alkali syndrome (MAS) is one of the causes of hypercalcaemia. We report a case of a 75-year-old lady with a history of thyroidectomy, presented with an altered mental state and had an extremely high calcium concentration of 4.96mmol/L. The hypercalcemia was attributed to the ingestion of large doses of calcium supplements, including calcium carbonate and calcium lactate, leading to MAS. She was managed with intravenous fluids, diuretics and withdrawal of calcium supplements. The patient responded well to treatment and regained consciousness. Details of the case including clinical presentations, electrocardiogram (ECG) findings and treatment plan, are discussed in this article.
  20. Mhd Nizar MNF, Rahman A, Baharuddin KA, Ahmad MZ, Mohamed Ismail M
    Med J Malaysia, 2022 Jan;77(1):20-25.
    PMID: 35086990
    INTRODUCTION: Snakebite envenomation is a medical emergency and cases continue to be encountered in Malaysian hospitals. This study aims to determine the prevalence of snakebite presentations and the associated factors with severe envenomation of snakebite in Sungai Petani, Kedah, Malaysia.

    MATERIALS AND METHODS: This was a retrospective, crosssectional study involving snakebite patients presented at the Emergency Department (ED), Hospital Sultan Abdul Halim (HSAH), Kedah from 1 July 2015 to 30 June 2019. The cases were extracted from the computerized system and the case records of patients were retrieved from the Medical Record Unit. Patients that met the study criteria were included and their sociodemographic features, clinical presentations including use of anti-venom were collected. Logistic regression analysis was performed to determine the factors associated with severe envenomation.

    RESULTS: A total of 220 snakebite cases with the mean age of patients was 39.66 (SD±21.79) years old. Majority of them were Malay and males. 41.4% of snakebite cases occurred in late evenings and the mean time-lapsed to arrive at HSAH was 108.6 minutes. 81.4% of snakebite cases occurred while engaging in outdoor activities and 43.6% of the snakebite cases involved work-related incidents. 58.2% of the patients were bitten in the lower limb. 78.6% of patients were bitten by the identified snake species, predominantly from Viperidae family. The prevalence of severe envenomation was 50.9%. Malay ethnicity (adj. OR =2.549, 95% CI =1.277,5.089), bite to the upper limb (adj. OR =2.125, 95% CI =1.192, 3.790), and bite by snakes from Viperidae family (adj. OR =3.017, 95% CI =1.613, 5.642) were found to have significant associations with severe envenomation of snakebite.

    CONCLUSION: The prevalence of severe envenomation was more than 50% of snakebite cases. Malay ethnicity, upper limb snake bites, and snakebite from a Viperidae family had a higher chance of severe envenomation.

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