Displaying publications 81 - 100 of 111 in total

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  1. Najmuldeen IA, Hadi AH, Awang K, Mohamad K, Ketuly KA, Mukhtar MR, et al.
    J Nat Prod, 2011 May 27;74(5):1313-7.
    PMID: 21428417 DOI: 10.1021/np200013g
    Three new limonoids, chisomicines A-C (1-3), have been isolated from the bark of Chisocheton ceramicus. Their structures were determined by 2D NMR, CD spectroscopic methods, and X-ray analysis. Chisomicine A (1) exhibited NO production inhibitory activity in J774.1 cells stimulated by LPS dose-dependently at high cell viability.
  2. Ho GF, Chai CS, Alip A, Wahid MIA, Abdullah MM, Foo YC, et al.
    BMC Cancer, 2019 Sep 09;19(1):896.
    PMID: 31500587 DOI: 10.1186/s12885-019-6107-1
    BACKGROUND: This study aimed to evaluate the efficacy, side-effects and resistance mechanisms of first-line afatinib in a real-world setting.

    METHODS: This is a multicenter observational study of first-line afatinib in Malaysian patients with epidermal growth factor receptor (EGFR)-mutant advanced non-small cell lung cancer (NSCLC). Patients' demographic, clinical and treatment data, as well as resistance mechanisms to afatinib were retrospectively captured. The statistical methods included Chi-squared test and independent t-test for variables, Kaplan-Meier curve and log-rank test for survival, and Cox regression model for multivariate analysis.

    RESULTS: Eighty-five patients on first-line afatinib from 1st October 2014 to 30th April 2018 were eligible for the study. EGFR mutations detected in tumors included exon 19 deletion in 80.0%, exon 21 L858R point mutation in 12.9%, and rare or complex EGFR mutations in 7.1% of patients. Among these patients, 18.8% had Eastern Cooperative Oncology Group performance status of 2-4, 29.4% had symptomatic brain metastases and 17.6% had abnormal organ function. Afatinib 40 mg or 30 mg once daily were the most common starting and maintenance doses. Only one-tenth of patients experienced severe side-effects with none having grade 4 toxicities. The objective response rate was 76.5% while the disease control rate was 95.3%. At the time of analysis, 56 (65.9%) patients had progression of disease (PD) with a median progression-free survival (mPFS) of 14.2 months (95% CI, 11.85-16.55 months). Only 12.5% of the progressed patients developed new symptomatic brain metastases. The overall survival (OS) data was not mature. Thirty-three (38.8%) patients had died with a median OS of 28.9 months (95% CI, 19.82-37.99 months). The median follow-up period for the survivors was 20.0 months (95% CI, 17.49-22.51 months). Of patients with PD while on afatinib, 55.3% were investigated for resistance mechanisms with exon 20 T790 M mutation detected in 42.0% of them.

    CONCLUSIONS: Afatinib is an effective first-line treatment for patients with EGFR-mutant advanced NSCLC with a good response rate and long survival, even in patients with unfavorable clinical characteristics. The side-effects of afatinib were manageable and T790 M mutation was the most common resistance mechanism causing treatment failure.

  3. Tourkmani AM, Abdelhay O, Alharbi TJ, Bin Rsheed AM, Azmi Hassali M, Alrasheedy AA, et al.
    Int J Clin Pract, 2021 Mar;75(3):e13817.
    PMID: 33159361 DOI: 10.1111/ijcp.13817
    BACKGROUND: Ramadan fasting is regarded as a form of worship amongst Muslims. However, patients with a high risk of diabetic complications are advised to avoid fasting, as the practice is associated with significant impacts on several health factors for type 2 diabetic patients, including glycaemic control. Thus, a lack of focused education before Ramadan may result in negative health outcomes.

    AIM: To evaluate the impact of a Ramadan-focused diabetes education programme on hypoglycaemic risk and other clinical and metabolic parameters.

    METHODS: A systematic literature search was performed using Scopus, PubMed, Embase, and Google Scholar to identify relevant studies meeting the inclusion criteria from inception. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement and guidelines were followed when performing the search and identification of appropriate studies.

    RESULTS: Seventeen studies were included in this systemic review; five of them met the criteria to compile for a meta-analysis. The included studies were with various study designs, including randomised controlled trials, quasi-experimental and non-randomised studies. Overall, the results revealed a significant reduction of hypoglycemia risk (81% reduction) for fasting patients in intervention groups who received Ramadan-focused education compared with patients receiving conventional care (OR 0.19, 95% CI: 0.08-0.46). Moreover, HbA1c significantly improved amongst patients who received a Ramadan-focused diabetes education intervention, compared with those receiving conventional care.

    CONCLUSION: Ramadan-focused diabetes education had a significant impact on hypoglycemia and glycaemic control, with no significant effect on body weight, blood lipids or blood pressure.

  4. Ibrahim A, Alias A, Nor FM, Swarhib M, Abu Bakar SN, Das S, et al.
    Anat Cell Biol, 2019 Jun;52(2):219.
    PMID: 31338243 DOI: 10.5115/acb.2019.52.2.219
    [This corrects the article on p. 86 in vol. 50, PMID: 28713610.].
  5. Khan AH, Iqbal MZ, Syed Sulaiman SA, Ibrahim A, Azmi NSBY, Iqbal MS, et al.
    J Pharm Bioallied Sci, 2020 12 21;13(1):108-115.
    PMID: 34084056 DOI: 10.4103/jpbs.JPBS_475_20
    Objective: Diabetes mellitus (DM) is a chronic metabolic disorder that can initiate organ damage inside the body if not treated appropriately. Apart from tight glycemic control, a suitable educational intervention is also needed from health-care providers to stop or decrease the progression of organ damage in diabetic patients. This study intended to measure the impact of pharmacist-led educational intervention on improvement in predictors of diabetic foot in two different hospitals in Malaysia.

    Materials and Methods: In two tertiary care selected hospitals, the included diabetic patients were randomly divided into two study arms. In the control group, 200 patients who were receiving usual treatment from hospitals were included. However, in the intervention group, those 200 patients who were receiving usual treatment along with counseling sessions from pharmacists under the Diabetes Medication Therapy Adherence Clinic (DMTAC) program were included. The study continued for 1 year, and there were four follow-up visits for both study arms. A prevalidated data collection form was used to measure the improvement in predictors of diabetic foot in included patients. Data were analyzed by using the Statistical Package for the Social Sciences (SPSS) software program, version 24.0.

    Results: With the average decrease of 1.97% of HbA1c values in the control group and 3.43% in the intervention group, the univariate and multivariate analysis showed a statistically significant difference between both of the study arms in the improvement of predictors belonging to the diabetic foot (P < 0.05). The proportion of patients without any signs and symptoms of the diabetic foot in the intervention group was 91.7%, which increased from 42.3% at baseline (P < 0.05). However, this proportion in the control group was 76.9% at the fourth follow-up, from 48.3% at baseline (P < 0.05).

    Conclusion: A statistically significant reduction in the signs and symptoms of diabetic foot was observed in the intervention group at the end of 1 year. The progression of diabetic foot was significantly decreased in the pharmacist intervention group.

  6. Alias A, Ibrahim A, Abu Bakar SN, Swarhib Shafie M, Das S, Abdullah N, et al.
    Clin Ter, 2018 11 6;169(5):e217-e223.
    PMID: 30393808 DOI: 10.7417/CT.2018.2082
    INTRODUCTION: The first step in the forensic identification is sex determination followed by age and stature estimation, as both are sex-dependent. The mandible is the largest, strongest and most durable bone in the face. Mandible is important for sex confirmation in absence of a complete pelvis and skull.

    AIM: The aim of the present study was to determine sex of human mandible from morphology, morphometric measurements as well as discriminant function analysis from the CT scan.

    MATERIALS AND METHODS: The present retrospective study comprised 79 subjects (48 males, 31 females), with age group between 18 and 74 years, and were obtained from the post mortem computed tomography data in the Hospital Kuala Lumpur. The parameters were divided into three morphologic and nine morphometric parameters, which were measured by using Osirix MD Software 3D Volume Rendering.

    RESULTS: The Chi-square test showed that men were significantly association with square-shaped chin (92%), prominent muscle marking (85%) and everted gonial glare, whereas women had pointed chin (84%), less prominent muscle marking (90%) and inverted gonial glare (80%). All parameter measurements showed significantly greater values in males than in females by independent t-test (p< 0.01). By discriminant analysis, the classification accuracy was 78.5%, the sensitivity was 79.2% and the specificity was 77.4%. The discriminant function equation was formulated based on bigonial breath and condylar height, which were the best predictors.

    CONCLUSION: In conclusion, the mandible could be distinguished according to the sex. The results of the study can be used for identification of damaged and/or unknown mandible in the Malaysian population.

  7. Omar AA, Khai Leng L, Apana AN, Ibrahim A, Abdul Rahim R, Yaacob NM, et al.
    Cureus, 2022 Oct;14(10):e30395.
    PMID: 36407144 DOI: 10.7759/cureus.30395
    Background Ectopic pregnancy was recorded as the fourth principal cause of maternal death in Malaysia in 2019. Early diagnosis and use of methotrexate treatment proved to be safe and effective alternatives to surgical treatment. This study investigates the success rate of methotrexate treatment for ectopic pregnancy in a tertiary hospital in Malaysia. Methods This was a retrospective review of 73 patients with ectopic pregnancies treated with methotrexate according to a single-dose protocol from January 2009 until November 2019. The diagnosis of ectopic pregnancy was made using a combination of transvaginal scan and serial serum β-hCG levels. Their clinical and demographic data were reviewed. Serum β-hCG levels were measured at pre- and post-treatment to determine the rate of successful resolution. Results The overall success rate was 87.7% (64/73 patients) with methotrexate treatment. Fifty-six patients (76.7%) were successfully treated with a single dose of methotrexate, and eight patients (11.0%) required a second dose of methotrexate. There was no relation between socio-demographic, pre-treatment β-hCG levels, ectopic mass size, and treatment efficacy. Smaller size of ectopic pregnancy (adjusted OR=29.23; 95% CI: 2.69, 317.90; P=0.006) and absence of free fluid at the pouch of Douglas (POD) (adjusted OR=27.31; 95% CI: 2.84, 262.32; P=0.004) was found to increase the likelihood of overall treatment success. Absence of fetal cardiac activities was found to increase the likelihood of first-dose methotrexate treatment success (OR=10.20; 95% CI: 1.93, 53.79; P=0.006). Conclusions Early diagnosis of ectopic pregnancy may reduce morbidity and mortality. In carefully selected cases, methotrexate treatment has been proven to be cost-effective and avoided risks associated with surgery and anaesthesia.
  8. Bani-Issa W, Radwan H, Saqan R, Hijazi H, Fakhry R, Alameddine M, et al.
    J Sleep Res, 2023 Feb;32(1):e13666.
    PMID: 35670277 DOI: 10.1111/jsr.13666
    The COVID-19 pandemic had a major impact on people of all ages. Adolescents' exposure to online learning is linked to excessive screen time on digital devices, which leads to poor sleep quality. This study aimed to investigate the association between screen time on different electronic devices and sleep quality among adolescents in the United Arab Emirates. This study was based on a self-reported questionnaire, which was administered online to school-aged adolescents (aged 12-19 years). The multicomponent questionnaire collected information on sociodemographic characteristics, sleep quality using the Pittsburgh Sleep Quality Index (PSQI), and screen time (minutes) on TV, TV-connected devices, laptops, smartphones, and tablets on weekdays, weeknight, and weekends using the Screen Time Questionnaire (STQ). Univariate and multivariate analyses were used to identify factors correlated with poor sleep quality. A total of 1720 adolescents were recruited from private and public schools (mean age 14.6 ± 1.97 years). The mean PSQI score was 8.09 ± 3.37, and 74.3% of participants reported poor sleep (cutoff score >5). Mean scores were highest for the sleep latency (1.85 ± 0.97) and sleep disturbance (1.56 ± 0.62) domains. The highest STQ score was observed for smartphones, with a median screen time of 420 min on weekdays and 300 min on weekends. Screen time related to smartphones on weekends (p = 0.003) and increased screen time in bed (p 
  9. Ibrahim A, Ali RAR, Manaf MRA, Ahmad N, Tajurruddin FW, Qin WZ, et al.
    PLoS One, 2020;15(12):e0244680.
    PMID: 33382780 DOI: 10.1371/journal.pone.0244680
    OBJECTIVE: We determined the effectiveness of a multi-strain probiotic (Hexbio®) containing microbial cell preparation MCP®BCMC® on constipation symptoms and gut motility in PD patients with constipation.

    METHODS: PD patients with constipation (ROME III criteria) were randomized to receive a multi-strain probiotic (Lactobacillus sp and Bifidobacterium sp at 30 X 109 CFU) with fructo-oligosaccaride or placebo (fermented milk) twice daily for 8 weeks. Primary outcomes were changes in the presence of constipation symptoms using 9 items of Garrigues Questionnaire (GQ), which included an item on bowel opening frequency. Secondary outcomes were gut transit time (GTT), quality of life (PDQ39-SI), motor (MDS-UPDRS) and non-motor symptoms (NMSS).

    RESULTS: Of 55 recruited, 48 patients completed the study: 22 received probiotic and 26 received placebo. At 8 weeks, there was a significantly higher mean weekly BOF in the probiotic group compared to placebo [SD 4.18 (1.44) vs SD 2.81(1.06); (mean difference 1.37, 95% CI 0.68, 2.07, uncorrected p<0.001)]. Patients in the probiotic group reported five times higher odds (odds ratio = 5.48, 95% CI 1.57, 19.12, uncorrected p = 0.008) for having higher BOF (< 3 to 3-5 to >5 times/week) compared to the placebo group. The GTT in the probiotic group [77.32 (SD55.35) hours] reduced significantly compared to placebo [113.54 (SD 61.54) hours]; mean difference -36.22, 95% CI -68.90, -3.54, uncorrected p = 0.030). The mean change in GTT was 58.04 (SD59.04) hour vs 20.73 (SD60.48) hours respectively (mean difference 37.32, 95% CI 4.00, 70.63, uncorrected p = 0.028). No between-groups differences were observed in the NMSS, PDQ39-SI, MDS-UPDRS II and MDS-UPDRS III scores. Four patients in the probiotics group experienced mild reversible side effects.

    CONCLUSION: This study showed that consumption of a multi-strain probiotic (Hexbio®) over 8 weeks improved bowel opening frequency and whole gut transit time in PD patients with constipation.

  10. Che Isa Z, Lim JA, Ain AM, Othman FA, Kueh YC, Tew MM, et al.
    Singapore Med J, 2023 Nov 03.
    PMID: 38037775 DOI: 10.4103/singaporemedj.SMJ-2022-072
    INTRODUCTION: Dengue is endemic in tropical countries. Severe dengue has a high risk of morbidity and mortality. We aimed to identify factors associated with dengue survival among our intensive care unit (ICU) patients.

    METHODS: A retrospective study was conducted among dengue cases admitted to the ICU of Hospital Sultan Abdul Halim, Kedah, Malaysia from 2016 to 2019.

    RESULTS: Out of 1,852 dengue cases admitted to the hospital, 7.2% of patients required ICU admission. Survival rate was 88.6% among severe dengue cases. The majority of severe dengue patients were obese, while other notable comorbidities included hypertension and diabetes mellitus. Also, 73% of patients presented in the critical phase, at a median of Day 4 of illness. All patients admitted to the ICU had a history of fever. The predominant warning signs were lethargy, fluid accumulation and haemoconcentration with rapid platelet reduction. Among nonsurvivors, 69.2% had fulminant hepatitis, 53.8% had massive bleeding or disseminated intravascular coagulation, 38.5% had haemophagocytic lymphohistiocytosis and 30.8% had myocarditis. The predominant serotypes were DENV-3 and DENV-1. The least number of cases was seen in 2017, when all serotypes were equally presented. Multiple logistic regression showed that Sequential Organ Failure Assessment (SOFA) score, peak international normalised ratio, peak partial thromboplastin time and aspartate aminotransferase on admission were independent risk factors for survival. This model had an area under the curve of 0.98, giving an overall 98.2% accuracy.

    CONCLUSIONS: Specific warning signs and blood investigations in dengue patients may aid in early decision for ICU admission. Monitoring of SOFA scores plus coagulation and liver enzyme profiles could improve dengue survival rates.

  11. Iqbal MZ, Khan AH, Sulaiman SAS, Ibrahim A, Azmi NSBY, Iqbal MS, et al.
    J Pharm Bioallied Sci, 2021 05 26;13(2):193-198.
    PMID: 34349479 DOI: 10.4103/jpbs.JPBS_488_20
    Background and Objective: Diabetes mellitus is a chronic disease which can lead to different complications in patients if not treated properly. An appropriate intervention from health care providers is needed to stop and decrease the progression of diabetic complication in diabetic patients. This study aimed to measure the effect of pharmacist intervention on improvement in sign and symptoms and progression of diabetic complications in diabetic patients.

    Methodology: Diabetic patients were randomly selected and divided into two groups from two tertiary care hospitals. Control group contained those 200 patients who were receiving usual treatment from hospitals. In contrast, the intervention group included those 200 patients who were receiving conventional treatment from hospitals together with separate counselling sessions with pharmacists from Diabetes Medication Therapy Adherence Clinic departments. The study continued for 1 year and two follow-up visits for both groups. A prevalidated data collection form was used to measure the improvement in sign and symptoms and progression of diabetic complication in diabetic patients. Statistical Package for the Social Sciences (SPSS) version 24 was used to analyze the data.

    Results: The average hemoglobin A1c (HbA1c) values decreased up to 1.43% in the control group and 2.82% in the intervention group. The intervention group showed significant improvement in HbA1c between groups (P < 0.05). The results of univariate and multivariate regression analysis showed that a statistically significant (P < 0.001) improvement was observed in all the predictors of diabetic complications among in the intervention group when compared with the control group.

    Conclusion: Statistically significant reduction in the sign and symptoms of diabetic complications was observed in the intervention group at the end of 1 year. The progression of diabetic neuropathy was significantly reduced in the pharmacist intervention group.

  12. Khafaga DS, Ibrahim A, El-Kenawy EM, Abdelhamid AA, Karim FK, Mirjalili S, et al.
    Diagnostics (Basel), 2022 Nov 21;12(11).
    PMID: 36428952 DOI: 10.3390/diagnostics12112892
    Human skin diseases have become increasingly prevalent in recent decades, with millions of individuals in developed countries experiencing monkeypox. Such conditions often carry less obvious but no less devastating risks, including increased vulnerability to monkeypox, cancer, and low self-esteem. Due to the low visual resolution of monkeypox disease images, medical specialists with high-level tools are typically required for a proper diagnosis. The manual diagnosis of monkeypox disease is subjective, time-consuming, and labor-intensive. Therefore, it is necessary to create a computer-aided approach for the automated diagnosis of monkeypox disease. Most research articles on monkeypox disease relied on convolutional neural networks (CNNs) and using classical loss functions, allowing them to pick up discriminative elements in monkeypox images. To enhance this, a novel framework using Al-Biruni Earth radius (BER) optimization-based stochastic fractal search (BERSFS) is proposed to fine-tune the deep CNN layers for classifying monkeypox disease from images. As a first step in the proposed approach, we use deep CNN-based models to learn the embedding of input images in Euclidean space. In the second step, we use an optimized classification model based on the triplet loss function to calculate the distance between pairs of images in Euclidean space and learn features that may be used to distinguish between different cases, including monkeypox cases. The proposed approach uses images of human skin diseases obtained from an African hospital. The experimental results of the study demonstrate the proposed framework's efficacy, as it outperforms numerous examples of prior research on skin disease problems. On the other hand, statistical experiments with Wilcoxon and analysis of variance (ANOVA) tests are conducted to evaluate the proposed approach in terms of effectiveness and stability. The recorded results confirm the superiority of the proposed method when compared with other optimization algorithms and machine learning models.
  13. Elshewey AM, Shams MY, Tawfeek SM, Alharbi AH, Ibrahim A, Abdelhamid AA, et al.
    Diagnostics (Basel), 2023 Nov 13;13(22).
    PMID: 37998575 DOI: 10.3390/diagnostics13223439
    The paper focuses on the hepatitis C virus (HCV) infection in Egypt, which has one of the highest rates of HCV in the world. The high prevalence is linked to several factors, including the use of injection drugs, poor sterilization practices in medical facilities, and low public awareness. This paper introduces a hyOPTGB model, which employs an optimized gradient boosting (GB) classifier to predict HCV disease in Egypt. The model's accuracy is enhanced by optimizing hyperparameters with the OPTUNA framework. Min-Max normalization is used as a preprocessing step for scaling the dataset values and using the forward selection (FS) wrapped method to identify essential features. The dataset used in the study contains 1385 instances and 29 features and is available at the UCI machine learning repository. The authors compare the performance of five machine learning models, including decision tree (DT), support vector machine (SVM), dummy classifier (DC), ridge classifier (RC), and bagging classifier (BC), with the hyOPTGB model. The system's efficacy is assessed using various metrics, including accuracy, recall, precision, and F1-score. The hyOPTGB model outperformed the other machine learning models, achieving a 95.3% accuracy rate. The authors also compared the hyOPTGB model against other models proposed by authors who used the same dataset.
  14. Alhajj MN, Omar R, Khader Y, Celebić A, El Tantawi M, Folayan MO, et al.
    Int Dent J, 2020 Oct;70(5):328-339.
    PMID: 32501563 DOI: 10.1111/idj.12579
    OBJECTIVES: The extent to which dentists are happy with their profession and their life has not been well studied. The present study aimed to explore the level of happiness, satisfaction with life and psychological well-being among a sample of dental professionals from 21 countries.

    MATERIALS AND METHODS: The sample comprised 2,200 dentists from 21 countries. Three scales - Subjective Happiness Scale (SHS), Satisfaction With Life Scale (SWLS), and Affect Balance Scale (ABS) - were used to measure the subjective responses. Data related to demographic and social characteristics were recorded. Mann-Whitney and Kruskal-Wallis tests were used as appropriate. Scales were correlated, and multiple linear regression analyses were employed to identify the independent determinants of SHS, SWLS and ABS. Data were analysed using the SPSS software program; a value of P <0.05 was considered significant.

    RESULTS: The overall mean scores of SHS, SWLS and ABS were 18.53 ± 5.06, 23.06 ± 6.25 and 1.26 ± 2.40, respectively, with significant differences found across countries: dentists working in Croatia, Peru and Serbia recorded the highest scores, unlike dentists practicing in Yemen, Syria, and Iraq, who recorded the lowest scores. There were significant, moderately positive correlations between the various scales: SHS and SWLS: r = 0.535, P 

  15. Rabaan AA, Mutair AA, Hajissa K, Alfaraj AH, Al-Jishi JM, Alhajri M, et al.
    Vaccines (Basel), 2022 Oct 02;10(10).
    PMID: 36298520 DOI: 10.3390/vaccines10101655
    Since the first case of Coronavirus disease (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in 2019, SARS-CoV-2 infection has affected many individuals worldwide. Eventually, some highly infectious mutants-caused by frequent genetic recombination-have been reported for SARS-CoV-2 that can potentially escape from the immune responses and induce long-term immunity, linked with a high mortality rate. In addition, several reports stated that vaccines designed for the SARS-CoV-2 wild-type variant have mixed responses against the variants of concern (VOCs) and variants of interest (VOIs) in the human population. These results advocate the designing and development of a panvaccine with the potential to neutralize all the possible emerging variants of SARS-CoV-2. In this context, recent discoveries suggest the design of SARS-CoV-2 panvaccines using nanotechnology, siRNA, antibodies or CRISPR-Cas platforms. Thereof, the present comprehensive review summarizes the current vaccine design approaches against SARS-CoV-2 infection, the role of genetic mutations in the emergence of new viral variants, the efficacy of existing vaccines in limiting the infection of emerging SARS-CoV-2 variants, and efforts or challenges in designing SARS panvaccines.
  16. Marzuki NM, Jaeb MZM, Ban A, Ismail AI, Ali IAH, Razali NM, et al.
    Med J Malaysia, 2020 11;75(6):717-721.
    PMID: 33219183
    BACKGROUND: Regarding the long-term safety issues with the use of inhaled corticosteroids (ICS) and the clinical predominance of dual bronchodilators in enhancing treatment outcomes in chronic obstructive pulmonary disease (COPD), ICS is no longer a "preferred therapy" according to the Global Initiative for Chronic Obstructive Lung Disease except on top of a dual bronchodilator. This has necessitated a change in the current therapy for many COPD patients.

    OBJECTIVE: To determine a standardised algorithm to reassess and personalise the treatment COPD patients based on the available evidence.

    METHODS: A consensus statement was agreed upon by a panel of pulmonologists in from 11 institutes in Malaysia whose members formed this consensus group.

    RESULTS: According to the consensus, which was unanimously adopted, all COPD patients who are currently receiving an ICS-based treatment should be reassessed based on the presence of co-existence of asthma or high eosinophil counts and frequency of moderate or severe exacerbations in the previous 12 months. When that the patients meet any of the aforementioned criteria, then the patient can continue taking ICS-based therapy. However, if the patients do not meet the criteria, then the treatment of patients need to be personalised based on whether the patient is currently receiving long-acting beta-agonists (LABA)/ICS or triple therapy.

    CONCLUSION: A flowchart of the consensus providing a guidance to Malaysian clinicians was elucidated based on evidences and international guidelines that identifies the right patients who should receive inhaled corticosteroids and enable to switch non ICS based therapies in patients less likely to benefit from such treatments.

  17. Tan WY, Yusof Khan AHK, Mohd Yaakob MN, Abdul Rashid AM, Loh WC, Baharin J, et al.
    BMC Neurol, 2021 Oct 12;21(1):395.
    PMID: 34641797 DOI: 10.1186/s12883-021-02427-x
    BACKGROUND: Transverse myelitis (TM) is a relatively uncommon condition, and vaccine-associated myelitis is even rarer. Concern regarding neurological complications following vaccination escalated following the report of TM during the safety and efficacy trials of the COVID-19 vaccine.

    CASE PRESENTATION: We report the first case of Longitudinal Extensive Transverse Myelitis (LETM) in Malaysia following administration of the chimpanzee adenovirus-vectored (ChAdOx1 nCoV-19) vaccine. A 25-year-old female presented with bilateral lower limb weakness and inability to walk with a sensory level up to T8 with absent visual symptoms. Urgent gadolinium-enhanced magnetic resonance imaging (MRI) of the spine showed long segment TM over the thoracic region. Cerebrospinal fluid autoantibodies for anti-aquaporin-4 and anti-myelin-oligodendrocyte were negative. A diagnosis of LETM following vaccination was made, and the patient was started on a high dose of intravenous methylprednisolone. The patient eventually made a recovery following treatment.

    CONCLUSION: LETM is a rare but serious adverse reaction following vaccination. Previously reported cases showed an onset of symptoms between 10 to 14 days post-vaccination, suggesting a delayed immunogenic reaction. However, the incidence of myelitis in COVID-19 is much more common, far greater than the risk associated with vaccination.

  18. Abdul Rashid AM, Md Noh MSF, Yusof Khan AHK, Loh WC, Baharin J, Ibrahim A, et al.
    BMC Neurol, 2023 Feb 15;23(1):72.
    PMID: 36792988 DOI: 10.1186/s12883-023-03102-z
    BACKGROUND AND AIMS: The corononavirus 2019 (COVID-19) pandemic resulted in modifications in the workflow and redistribution of human resources, causing challenges in setting up of an acute stroke service. We would like to share our preliminary outcome amid this pandemic, to determine if the implementation of COVID-19 standard operating procedures (SOPs) affected the delivery of our hyperacute stroke service.

    METHODS: We retrospectively analyzed one-year data from our stroke registry that began with the establishment of our hyperacute stroke service at Universiti Putra Malaysia Teaching Hospital from April 2020 until May 2021.

    RESULTS: Setting up acute stroke services during the pandemic with constrained manpower and implementation of COVID-19 SOPs, was challenging. There was a significant dip of stroke admission from April to June 2020 due to the Movement Control Order (MCO) implemented by the government to curb the spread of COVID-19. However, the numbers of stroke admission steadily rose approaching 2021, after the implementation of recovery MCO. We managed to treat 75 patients with hyperacute stroke interventions i.e. intravenous thrombolysis (IVT), mechanical thrombectomy (MT) or both. Despite implementing COVID-19 SOPs and using magnetic resonance imaging (MRI) as our first line acute stroke imaging modality, clinical outcomes in our cohort were encouraging; almost 40% of patients who underwent hyperacute stroke treatment had early neurological recovery (ENR), and only 33% of patients had early neurological stability (ENS). In addition, we were able to maintain our door-to-imaging (DTI) and door-to-needle (DTN) time in line with international recommendations.

    CONCLUSIONS: Our data reflects that COVID-19 SOPs did not deter successful delivery of hyperacute stroke services in our center. However, bigger and multi center studies are required to support our findings.

  19. Albahri OS, Zaidan AA, Albahri AS, Zaidan BB, Abdulkareem KH, Al-Qaysi ZT, et al.
    J Infect Public Health, 2020 Oct;13(10):1381-1396.
    PMID: 32646771 DOI: 10.1016/j.jiph.2020.06.028
    This study presents a systematic review of artificial intelligence (AI) techniques used in the detection and classification of coronavirus disease 2019 (COVID-19) medical images in terms of evaluation and benchmarking. Five reliable databases, namely, IEEE Xplore, Web of Science, PubMed, ScienceDirect and Scopus were used to obtain relevant studies of the given topic. Several filtering and scanning stages were performed according to the inclusion/exclusion criteria to screen the 36 studies obtained; however, only 11 studies met the criteria. Taxonomy was performed, and the 11 studies were classified on the basis of two categories, namely, review and research studies. Then, a deep analysis and critical review were performed to highlight the challenges and critical gaps outlined in the academic literature of the given subject. Results showed that no relevant study evaluated and benchmarked AI techniques utilised in classification tasks (i.e. binary, multi-class, multi-labelled and hierarchical classifications) of COVID-19 medical images. In case evaluation and benchmarking will be conducted, three future challenges will be encountered, namely, multiple evaluation criteria within each classification task, trade-off amongst criteria and importance of these criteria. According to the discussed future challenges, the process of evaluation and benchmarking AI techniques used in the classification of COVID-19 medical images considered multi-complex attribute problems. Thus, adopting multi-criteria decision analysis (MCDA) is an essential and effective approach to tackle the problem complexity. Moreover, this study proposes a detailed methodology for the evaluation and benchmarking of AI techniques used in all classification tasks of COVID-19 medical images as future directions; such methodology is presented on the basis of three sequential phases. Firstly, the identification procedure for the construction of four decision matrices, namely, binary, multi-class, multi-labelled and hierarchical, is presented on the basis of the intersection of evaluation criteria of each classification task and AI classification techniques. Secondly, the development of the MCDA approach for benchmarking AI classification techniques is provided on the basis of the integrated analytic hierarchy process and VlseKriterijumska Optimizacija I Kompromisno Resenje methods. Lastly, objective and subjective validation procedures are described to validate the proposed benchmarking solutions.
  20. Musa NH, Thilakavathy K, Mohamad NA, Kennerson ML, Inche Mat LN, Loh WC, et al.
    Front Genet, 2022;13:972007.
    PMID: 36659963 DOI: 10.3389/fgene.2022.972007
    Myotonia congenita (MC) is a rare neuromuscular disease caused by mutations within the CLCN1 gene encoding skeletal muscle chloride channels. MC is characterized by delayed muscle relaxation during contraction, resulting in muscle stiffness. There is a lack of MC case reports and data on the prevalence among Malaysians. We report a clinical case of a 50-year-old woman presents with muscle stiffness and cramp episodes that started in early childhood. She had difficulty initiating muscle movement and presented with transient muscle weakness after rest, which usually improved after repeated contraction (warm-up phenomenon). She was diagnosed with MC after myotonic discharge on electromyography (EMG). Her brother had similar symptoms; however, no additional family members showed MC symptoms. Serum creatine kinase levels were elevated in both the proband and her brother with 447 U/L and 228 U/L recorded, respectively. Genetic analysis by whole-exome sequencing (WES) revealed a previously reported pathogenic CLCN1 gene variant c.1667T>A (p.I556N). Genetic screening of all family members revealed that the same variant was observed in the children of both the proband and her brother; however, the children did not present with either clinical or electrophysiological MC symptoms. The multiplex ligation-dependent probe amplification (MLPA) analysis conducted identified neither exon deletion nor duplication in CLCN1. In conclusion, this report describes the first case of MC in Malaysia in which incomplete penetrance observed in this family is caused by a known pathogenic CLCN1 variant.
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