Displaying publications 21 - 40 of 57 in total

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  1. Cahyaningrum SE, Lusiana RA, Natsir TA, Muhaimin FI, Wardana AP, Purnamasari AP, et al.
    Heliyon, 2024 Aug 15;10(15):e34981.
    PMID: 39165941 DOI: 10.1016/j.heliyon.2024.e34981
    BACKGROUND: Urea is a fertilizer widely used by farmers, especially vegetable farmers, due to its high nitrogen content, around 46 %. However, plants only use a small amount of nitrogen, a maximum of 35 %, while the remaining nitrogen is wasted and released into the environment. Undeniably, it causes increases production costs and environmental problems. A slow-release urea fertilizer (SRF) has been formulated to resolve these issues.

    METHODS: In this study, the membrane was made of chitosan with several crosslinking agents such as Tripolyphosphate (TPP). In addition, calcium ion bonds are expected to increase the interaction with urea fertilizer through the encapsulation process.

    THE RESULTS: Our data showed that urea slow-release fertilizer (SRF) with the chitosan/TPP/Ca membrane, was successfully synthesized. This membrane has the characteristics of a thin white layer that is transparent. The physical and chemical characterization of SRF membranes with various coating membrane variations showed that the chitosan/TPP/Ca-urea membrane has Young's modulus of 7.75-22.05 N/mm2, swelling of 109.52-132.62 % and porosity of 0.756-1.06 %. Functional group analysis shows that several spectral changes indicate the presence of crosslinking process between the chitosan functional groups and TPP. The urea release results show that the membrane is released through a diffusion mechanism. Furthermore, SEM results show that these membranes have pores with various shapes and sizes.

    CONCLUSION: Based on the result, it can be concluded that chitosan membrane modification with the addition of TPP and calcium oxide provides improved membrane characteristic cs including degree of development, hydrophobicity, membrane stress, and nitrogen release on the membrane. This membrane shows is indicating suitability as a slow-release fertilizer.

  2. Syazwan A, Azhar MM, Anita A, Azizan H, Shaharuddin M, Hanafiah JM, et al.
    J Pain Res, 2011;4:287-96.
    PMID: 22003301 DOI: 10.2147/JPR.S22281
    OBJECTIVES: The purpose of this study was to evaluate a multidisciplinary, interventional, ergonomic education program designed to reduce the risk of musculoskeletal problems by reducing schoolbag weight and correcting poor sitting posture.
    METHODS: Data were collected twice before and twice following intervention using the Standardized Nordic Body Map Questionnaire, a rapid upper limb assessment for posture evaluation, and schoolbag weight measurement in children aged 8 and 11 years attending two schools within the central region of Malaysia.
    RESULTS: Students who received the ergonomic intervention reported significant improvements in their sitting posture in a classroom environment and reduction of schoolbag weight as compared with the controls.
    CONCLUSION: A single-session, early intervention, group ergonomics education program for children aged 8 and 11 years is appropriate and effective, and should be considered as a strategy to reduce musculoskeletal pain among schoolchildren in this age group.
    KEYWORDS: assessment; awareness; education; ergonomic; intervention; musculoskeletal pain; school children
  3. Norhayati A. H., Nur Diyana K.A., M. S. Muhaimin, Ezmas Mahno, A W Ahmad, M N A Abdul Rahman, et al.
    MyJurnal
    Peripheral Occlusive Arterial Disease (POAD) is an important cardiovascular morbidity especially among diabetics. The goal of the treatment is to improve patients’ quality of life (QoL) starting by quantifying the disease burden in our population especially among high risk group such as diabetics.Materials and Methods:This cross-sectional study aims to provide a data on the prevalence of POAD among diabetic population in a primary health care in Kuantan and its’ effects on the patient’s QoL. Additionally, we examined for any other stipulated associated factors that may have contributed towards the development of POAD. We applied a universal sampling for the purpose of patient selection. POAD is universally defined as ankle-brachial index (ABI) of lower than 0.9. Individuals were assessed on validated Malay version of WHOQOL BREF to assess their QoL parameters. P value of
  4. Osman NA, Ujang FA, Roslan AM, Ibrahim MF, Hassan MA
    Sci Rep, 2020 04 20;10(1):6613.
    PMID: 32313095 DOI: 10.1038/s41598-020-62815-0
    Phytoremediation is one of the environmental-friendly and cost-effective systems for the treatment of wastewater, including industrial wastewater such as palm oil mill effluent final discharge (POME FD). However, the effects of the wastewater on the phytoremediator plants, in term of growth performance, lignocellulosic composition, and the presence of nutrients and heavy metals in the plants are not yet well studied. In the present work, we demonstrated that POME FD increased the growth of P. purpureum. The height increment of P. purpureum supplied with POME FD (treatment) was 61.72% as compared to those supplied with rain water (control) which was 14.42%. For lignocellulosic composition, the cellulose percentages were 38.77 ± 0.29% (treatment) and 34.16 ± 1.01% (control), and the difference was significant. These results indicated that POME FD could be a source of plant nutrients, which P. purpureum can absorb for growth. It was also found that the heavy metals (Al, As, Cd, Co, Cr, Ni and Pb) inside the plant were below the standard limit of the World Health Organization (WHO). Since POME FD was shown to have no adverse effects on P. purpureum, further research regarding the potential application of P. purpureum following phytoremediation of POME FD such as biofuel production is warranted to evaluate its potential use to fit into the waste-to-wealth agenda.
  5. Chew N, Noor Azhar AM, Bustam A, Azanan MS, Wang C, Lum LCS
    PLoS Negl Trop Dis, 2020 09;14(9):e0008562.
    PMID: 32881914 DOI: 10.1371/journal.pntd.0008562
    BACKGROUND: Dengue is a systemic and dynamic disease with symptoms ranging from undifferentiated fever to dengue shock syndrome. Assessment of patients' severity of dehydration is integral to appropriate care and management. Urine colour has been shown to have a high correlation with overall assessment of hydration status. This study tests the feasibility of measuring dehydration severity in dengue fever patients by comparing urine colour captured by mobile phone cameras to established laboratory parameters.

    METHODOLOGY/PRINCIPAL FINDINGS: Photos of urine samples were taken in a customized photo booth, then processed using Adobe Photoshop to index urine colour into the red, green, and blue (RGB) colour space and assigned a unique RGB value. The RGB values were then correlated with patients' clinical and laboratory hydration indices using Pearson's correlation and multiple linear regression. There were strong correlations between urine osmolality and the RGB of urine colour, with r = -0.701 (red), r = -0.741 (green), and r = -0.761 (blue) (all p-value <0.05). There were strong correlations between urine specific gravity and the RGB of urine colour, with r = -0.759 (red), r = -0.785 (green), and r = -0.820 (blue) (all p-value <0.05). The blue component had the highest correlations with urine specific gravity and urine osmolality. There were moderate correlations between RGB components and serum urea, at r = -0.338 (red), -0.329 (green), -0.360 (blue). In terms of urine biochemical parameters linked to dehydration, multiple linear regression studies showed that the green colourimetry code was predictive of urine osmolality (β coefficient -0.082, p-value <0.001) while the blue colourimetry code was predictive of urine specific gravity (β coefficient -2,946.255, p-value 0.007).

    CONCLUSIONS/SIGNIFICANCE: Urine colourimetry using mobile phones was highly correlated with the hydration status of dengue patients, making it a potentially useful hydration status tool.

  6. Luthfi M, Oki AS, Indrawati R, Rifai M, Dachlan YP, Razak FA
    Eur J Dent, 2020 Jul;14(3):386-392.
    PMID: 32645730 DOI: 10.1055/s-0040-1713704
    OBJECTIVES:  To analyze CD35/CD89 expression ratio on the surface of neutrophils as an early detection marker for S-ECC.

    MATERIALS AND METHODS:  Saliva was collected from 4- to 6-year-old kindergarten students. Salivary neutrophils were obtained by instructing the subjects to rinse their mouth with 1 mL of sterile 1.5% NaCl for 30 seconds before expectorating it into a sterile glass. The expression of CFSE+CD35+ and CFSE+CD89+was measured and analyzed using flow cytometry.

    RESULTS: The expression of CFSE+CD89+ in the caries-free group (2.46 ± 0.39) was significantly lower than that in the S-ECC group (3.41 ± 1.11), with a p-value of 0.0001, while the expression of CFSE+CD35+ in the caries-free group was (2.35 ± 0.56) compared with (1.54 ± 0.35) (p = 0.0001) in the S-ECC group.

    CONCLUSIONS:  The expression ratio of CFSE+CD89+ and CFSE+CD35+constitutes a marker for S-ECC.

  7. Kho MHT, Chew KS, Azhar MN, Hamzah ML, Chuah KM, Bustam A, et al.
    BMC Emerg Med, 2018 01 15;18(1):1.
    PMID: 29334925 DOI: 10.1186/s12873-018-0152-y
    BACKGROUND: While emergency airway management training is conventionally conducted via face-to-face learning (F2FL) workshops, there are inherent cost, time, place and manpower limitations in running such workshops. Blended learning (BL) refers to the systematic integration of online and face-to-face learning aimed to facilitate complex thinking skills and flexible participation at a reduced financial, time and manpower cost. This study was conducted to evaluate its effectiveness in emergency airway management training.

    METHODS: A single-center prospective randomised controlled trial involving 30 doctors from Sarawak General Hospital, Malaysia was conducted from September 2016 to February 2017 to compare the effectiveness of BL versus F2FL for emergency airway management training. Participants in the BL arm were given a period of 12 days to go through the online materials in a learning management system while those in the F2FL arm attended a-day of face-to-face lectures (8 h). Participants from both arms then attended a day of hands-on session consisting of simulation skills training with airway manikins. Pre- and post-tests in knowledge and practical skills were administered. E-learning experience and the perception towards BL among participants in the BL arm were also assessed.

    RESULTS: Significant improvements in post-test scores as compared to pre-test scores were noted for participants in both BL and F2FL arms for knowledge, practical, and total scores. The degree of increment between the BL group and the F2FL arms for all categories were not significantly different (total scores: 35 marks, inter-quartile range (IQR) 15.0 - 41.0 vs. 31 marks, IQR 24.0 - 41.0, p = 0.690; theory scores: 18 marks, IQR 9 - 24 vs. 19 marks, IQR 15 - 20, p = 0.992; practical scores: 11 marks, IQR 5 -18 vs. 10 marks, IQR 9 - 20, p = 0.461 respectively). The overall perception towards BL was positive.

    CONCLUSIONS: Blended learning is as effective as face-to-face learning for emergency airway management training of junior doctors, suggesting that blended learning may be a feasible alternative to face-to-face learning for such skill training in emergency departments.

    TRIAL REGISTRATION: Malaysian National Medical Research NMRR-16-696-30190 . Registered 28 April 2016.

  8. Mohd Kamil MK, Zambri A, Azizah MA, Noor Azhar AM, Ahmad R
    Int Emerg Nurs, 2022 Sep;64:101214.
    PMID: 36037702 DOI: 10.1016/j.ienj.2022.101214
    BACKGROUND: The COVID-19 pandemic is an international public health emergency. As hospitals receive more severe forms of COVID-19 that necessitate resuscitation, emergency health care workers (HCW) must follow interim COVID-19 resuscitation guidelines.

    OBJECTIVE: The aim is to evaluate the levels of knowledge, attitude, and practice among emergency HCW of the COVID-19 resuscitation protocol by the European Resuscitation Council (ERC).

    METHODS: A cross-sectional study using a validated questionnaire was conducted among HCW in the emergency department of University of Malaya Medical Centre (UMMC), Malaysia from April to June 2021.

    RESULTS: A total of 159 respondents were included in the analysis (89% response rate). Sixty-eight percent of respondents had adequate knowledge regarding COVID-19 resuscitation. Majority of the respondents had knowledge on airborne-precaution personal protective equipment (PPE) (99%) and infection control measures (98%). Nearly 73% were pessimistic about the COVID-19 prognosis. Seventy-three percent of respondents thought an arrested COVID-19 patient may benefit from cardiopulmonary resuscitation (CPR) and 94% were willing to administer CPR provided airborne-precaution PPE was available. Ninety percent of respondents reported adherence to resuscitation guidelines. There were significant differences in the mean knowledge scores between designation, education levels, and COVID-19 training. Overall, the respondents' level of practice was insufficient (27%), with a mean score of 53.7%(SD = 14.7). There was a lack of practicein the resuscitation oftheintubatedand patients who were beingprone. There was insufficient practice about ventilation technique, use ofsupraglotticdevices, and intubation barriers. There was a positive correlation between adequate knowledge and good practice.

    CONCLUSION: Emergency HCW have adequate knowledge, but poor compliance to the ERC COVID-19 guidelines. Emergency HCW were willing and confident to resuscitate COVID-19 patients, despite fears of nosocomial infection and expectation of poor patients' prognosis. Ongoing education and trainingprogramsare recommended to improve their knowledge, cultivate a positive attitude, andachievegood compliance with COVID-19 resuscitation guidelines.

  9. Noor Azhar M, Bustam A, Naseem FS, Shuin SS, Md Yusuf MH, Hishamudin NU, et al.
    Digit Health, 2023;9:20552076231154684.
    PMID: 36798885 DOI: 10.1177/20552076231154684
    OBJECTIVE: Urine colorimetry using a digital image-based colorimetry is potentially an accessible hydration assessment method. This study evaluated the agreement between urine colorimetry values measured with different smartphone brands under various lighting conditions in patients with dengue fever.

    METHODS: The urine samples were photographed in a customized photo box, under five simulated lighting conditions, using five smartphones. These images were analyzed using Adobe Photoshop to obtain urine Red, Green and Blue (RGB) values with and without colour correction. A commercially available colour calibration card was used for colour correction. Using intraclass correlation coefficient (ICC), inter-phone and intra-phone agreements of urine RGB values were analyzed.

    RESULTS: Without colour correction, the various smartphones produced the highest agreement for Blue and Green values under the 'daylight' lighting condition. With colour correction, ICC values showed 'exceptional' inter-phone and intra-phone agreement for the Blue and Green values (ICC > 0.9). Red values showed 'poor' (ICC < 0.5) agreement with and without colour correction in all lighting conditions. Out of the five phones compared in this study, Phone 4 produced the lowest intra-phone agreement.

    CONCLUSIONS: Colour calibration using photo colour cards improved the reliability of smartphone-based urine colorimetry, making this a promising point-of-care hydration assessment tool using the ubiquitous smartphone.

  10. Ahmad Farid MA, Hassan MA, Roslan AM, Ariffin H, Norrrahim MNF, Othman MR, et al.
    Environ Sci Pollut Res Int, 2021 Jun;28(22):27976-27987.
    PMID: 33527241 DOI: 10.1007/s11356-021-12585-7
    This study provides insight into the decolorization strategy for crude glycerol obtained from biodiesel production using waste cooking oil as raw material. A sequential procedure that includes physico-chemical treatment and adsorption using activated carbon from oil palm biomass was investigated. The results evidenced decolorization and enrichment of glycerol go hand in hand during the treatment, achieving >89% color removal and > 98% increase in glycerol content, turning the glycerol into a clear (colorless) solution. This is attributed to the complete removal of methanol, free fatty acids, and triglycerides, as well as 85% removal of water, and 93% removal of potassium. Properties of the resultant glycerol met the quality standard of BS 2621:1979. The economic aspects of the proposed methods are examined to fully construct a predesign budgetary estimation according to chemical engineering principles. The starting capital is proportionate to the number of physical assets to acquire where both entail a considerable cost at USD 13,200. Having the benefit of sizeable scale production, it reasonably reduces the operating cost per unit product. As productivity sets at 33 m3 per annum, the annual operating costs amount to USD 79,902 in glycerol decolorization. This is translatable to USD 5.38 per liter glycerol, which is ~69% lower compared to using commercial activated carbon.
  11. Ismail AM, Ab Hamid SH, Abdul Sani A, Mohd Daud NN
    PLoS One, 2024;19(4):e0299585.
    PMID: 38603718 DOI: 10.1371/journal.pone.0299585
    The performance of the defect prediction model by using balanced and imbalanced datasets makes a big impact on the discovery of future defects. Current resampling techniques only address the imbalanced datasets without taking into consideration redundancy and noise inherent to the imbalanced datasets. To address the imbalance issue, we propose Kernel Crossover Oversampling (KCO), an oversampling technique based on kernel analysis and crossover interpolation. Specifically, the proposed technique aims to generate balanced datasets by increasing data diversity in order to reduce redundancy and noise. KCO first represents multidimensional features into two-dimensional features by employing Kernel Principal Component Analysis (KPCA). KCO then divides the plotted data distribution by deploying spectral clustering to select the best region for interpolation. Lastly, KCO generates the new defect data by interpolating different data templates within the selected data clusters. According to the prediction evaluation conducted, KCO consistently produced F-scores ranging from 21% to 63% across six datasets, on average. According to the experimental results presented in this study, KCO provides more effective prediction performance than other baseline techniques. The experimental results show that KCO within project and cross project predictions especially consistently achieve higher performance of F-score results.
  12. Mohd Zahari H, Ridwan Wong MM, Fazan Ahmad ND, Abas F
    MethodsX, 2024 Jun;12:102733.
    PMID: 38707211 DOI: 10.1016/j.mex.2024.102733
    Firefighters encounter numerous complex and ever-changing hazards when carrying out emergency response activities, necessitating the development of effective risk profiling methods to enhance both their safety and operational efficiency. This study outlines a comprehensive approach to constructing risk profiles tailored specifically for firefighters, integrating various methodologies to create a robust and adaptable framework. The methods used incorporating historical incident data, environmental variables, and individual firefighter characteristics to identify and assess potential risks. Additionally, the risk profiling framework include Psychosocial risk factors are also considered, allowing for a holistic understanding of the human element in firefighting risk assessment. By developing risk profiles to the specific needs and characteristics of firefighters, this method aims to significantly improve their safety, ability to make decisions, and overall operational efficiency in the demanding and ever-changing setting of emergency response situations. This article discussed methods•To identify safety cultures using questionnaires•To analyse risk from incident reports using content analysis•To verify and validate risk using thematic analysis from Focus Group Discussion.
  13. Chong CY, Bustam A, Noor Azhar M, Abdul Latif AK, Ismail R, Poh K
    Am J Emerg Med, 2024 May;79:19-24.
    PMID: 38330879 DOI: 10.1016/j.ajem.2024.01.044
    BACKGROUND AND IMPORTANCE: Acute cardiogenic pulmonary oedema (ACPO) is a common indication for non-invasive ventilation (NIV) in the emergency department (ED). HACOR score of >5 is used to predict NIV failure. The predictive ability of HACOR may be affected by altered physiological parameters in ACPO patients due to medications or comorbidities.

    OBJECTIVES: To validate the HACOR scale in predicting NIV failure among acute cardiogenic pulmonary oedema (ACPO) patients.

    DESIGN, SETTINGS AND PARTICIPANTS: This is a prospective, observational study of consecutive ACPO patients requiring NIV admitted to the ED.

    OUTCOME MEASURE AND ANALYSIS: Primary outcome was the ability of the HACOR score to predict NIV failure. Clinical, physiological, and HACOR score at baseline and at 1 h, 12 h and 24 h were analysed. Other potential predictors were assessed as secondary outcomes.

    MAIN RESULTS: A total of 221 patients were included in the analysis. Fifty-four (24.4%) had NIV failure. Optimal HACOR score was >5 at 1 h after NIV initiation in predicting NIV failure (AUC 0.73, sensitivity 53.7%, specificity 83.2%). As part of the HACOR score, respiratory rate and heart rate were not found to be significant predictors. Other significant predictors of NIV failure in ACPO patients were acute coronary syndrome, acute kidney injury, presence of congestive heart failure as a comorbid, and the ROX index.

    CONCLUSIONS: The HACOR scale measured at 1 h after NIV initiation predicts NIV failure among ACPO patients with acceptable accuracy. The cut-off level > 5 could be a useful clinical decision support tool in ACPO patient. However, clinicians should consider other factors such as the acute coronary and acute kidney diagnosis at presentation, presence of underlying congestive heart failure and the ROX index when clinically deciding on timely invasive mechanical ventilation.

  14. Akmal Shukri AM, Wang SM, Feng C, Chia SL, Mohd Nawi SFA, Citartan M
    Analyst, 2024 Sep 02.
    PMID: 39221970 DOI: 10.1039/d4an00812j
    Aptamers are molecular recognition elements that have been extensively deployed in a wide array of applications ranging from diagnostics to therapeutics. Due to their unique properties as compared to antibodies, aptamers were also largely isolated during the COVID-19 pandemic for multiple purposes. Typically generated by conventional SELEX, the inherent drawbacks of the process including the time-consuming, cumbersome and resource-intensive nature catalysed the move to adopt in silico approaches to isolate aptamers. Impressive performances of these in silico-derived aptamers in their respective assays have been documented thus far, bearing testimony to the huge potential of the in silico approaches, akin to the traditional SELEX in isolating aptamers. In this study, we provide an overview of the in silico selection of aptamers against SARS-CoV-2 by providing insights into the basic steps involved, which comprise the selection of the initial single-stranded nucleic acids, determination of the secondary and tertiary structures and in silico approaches that include both rigid docking and molecular dynamics simulations. The different approaches involving aptamers against SARS-CoV-2 were illuminated and the need to verify these aptamers by experimental validation was also emphasized. Cognizant of the need to continuously improve aptamers, the strategies embraced thus far for post-in silico selection modifications were enumerated. Shedding light on the steps involved in the in silico selection can set the stage for further improvisation to augment the functionalities of the aptamers in the future.
  15. Ismail AM, Remli MA, Choon YW, Nasarudin NA, Ismail NN, Ismail MA, et al.
    J Integr Bioinform, 2023 Jun 01;20(2).
    PMID: 37341516 DOI: 10.1515/jib-2022-0051
    Analyzing metabolic pathways in systems biology requires accurate kinetic parameters that represent the simulated in vivo processes. Simulation of the fermentation pathway in the Saccharomyces cerevisiae kinetic model help saves much time in the optimization process. Fitting the simulated model into the experimental data is categorized under the parameter estimation problem. Parameter estimation is conducted to obtain the optimal values for parameters related to the fermentation process. This step is essential because insufficient identification of model parameters can cause erroneous conclusions. The kinetic parameters cannot be measured directly. Therefore, they must be estimated from the experimental data either in vitro or in vivo. Parameter estimation is a challenging task in the biological process due to the complexity and nonlinearity of the model. Therefore, we propose the Artificial Bee Colony algorithm (ABC) to estimate the parameters in the fermentation pathway of S. cerevisiae to obtain more accurate values. A metabolite with a total of six parameters is involved in this article. The experimental results show that ABC outperforms other estimation algorithms and gives more accurate kinetic parameter values for the simulated model. Most of the estimated kinetic parameter values obtained from the proposed algorithm are the closest to the experimental data.
  16. Bustam A, Poh K, Shuin Soo S, Naseem FS, Md Yusuf MH, Hishamudin NU, et al.
    Digit Health, 2023;9:20552076231197961.
    PMID: 37662675 DOI: 10.1177/20552076231197961
    OBJECTIVE: Direct urine color assessment has been shown to correlate with hydration status. However, this method is subject to inter- and intra-observer variability. Digital image colorimetry provides a more objective method. This study evaluated the diagnostic accuracy of urine photo colorimetry using different smartphones under different lighting conditions, and determined the optimal cut-off value to predict clinical dehydration.

    METHODS: The urine samples were photographed in a customized photo box, under five simulated lighting conditions, using five smartphones. The images were analyzed using Adobe Photoshop to obtain Red, Green, and Blue (RGB) values. The correlation between RGB values and urine laboratory parameters were determined. The optimal cut-off value to predict dehydration was determined using area under the receiver operating characteristic curve.

    RESULTS: A total of 56 patients were included in the data analysis. Images captured using five different smartphones under five lighting conditions produced a dataset of 1400 images. The study found a statistically significant correlation between Blue and Green values with urine osmolality, sodium, urine specific gravity, protein, and ketones. The diagnostic accuracy of the Blue value for predicting dehydration were "good" to "excellent" across all phones under all lighting conditions with sensitivity >90% at cut-off Blue value of 170.

    CONCLUSIONS: Smartphone-based urine colorimetry is a highly sensitive tool in predicting dehydration.

  17. Noorsham AH, Abdullah MM, Abdul Halim S, Ghani ARI, Idris Z, Abdullah JM
    Malays J Med Sci, 2020 Dec;27(6):148-182.
    PMID: 33447142 DOI: 10.21315/mjms2020.27.6.14
    There are four classification levels for speech disorders namely dysphonia, dysarthria, dysprosody and dysphasia. In general, speech examination mainly focuses on three main components that are spontaneous speech, auditory comprehension, and oral motor examination. Quick bedside assessment on speech in Bahasa Malaysia is essential to assist the speech language therapist (SLT) and other physicians to determine the disorders. Speech therapy is also essential in monitoring and continuous assessment for patients with speech and language disorders such as dysphasia and dysarthria. Speech clinicians in Hospital Universiti Sains Malaysia (HUSM) have been adapting two most widely used batteries of speech assessment tools namely Western aphasia battery-revised (WAB-R) by Andrew Kertesz and Boston diagnostic aphasia examination (BDAE). These tools have been modified into simple and validated speech assessments in Bahasa Malaysia. This video manuscript will demonstrate the use of both tools in performing bedside speech assessment for patients with speech disorders. The Bahasa Malaysia speech examination should not be difficult when WAB-R and BDAE speech assessment tools are applied. The aim of this simple approach using the adapted version of BDAE and WAB-R is to assist the clinician to achieve quick and accurate diagnosis with a validated scoring system.
  18. Yeoh C, Teo A, Azhar AMN, Suann ST, Thum Y, Wong KD, et al.
    J Acute Med, 2019 Sep 01;9(3):128-144.
    PMID: 32995241 DOI: 10.6705/j.jacme.201909_9(3).0005
    Background: Balanced fluids are preferred in initial resuscitation of septic patients based on several recent studies. The Stewart's concept on acid-base balance predicts that high strong ion difference (SID) fluid thus will increase the pH level. To date, the impact of high SID fluid in septic patient with metabolic acidosis remains uncertain. We conducted single center, randomized, double-blind trial to compare the effect of high SID fluid vs. Hartmann's solution on acid-base status in selected sepsis patients in the Emergency Department.

    Methods: Septic patient with hyperlactatemia and metabolic acidosis were randomized to receive either high SID fl uid or Hartmann's solution during initial fl uid resuscitation. The primary outcome measures the pH and bicarbonate levels difference pre- and post- resuscitation.

    Results: One hundred and sixty-two patients underwent randomization, 81 were assigned each to receive high SID fluid or Hartmann's solution. Both groups had similar baseline characteristics. High SID group received 23.5 mL/kg and the Hartmann's group received 22.7 mL/kg (p = 0.360). High SID fluid increased the mean (± SD) pH by 0.107 (± 0.09) vs. Hartmann's solution by 0.014 (± 0.12), p ≤ 0.001. Mean bicarbonate level increased signifi cantly in high SID group compared to Hartmann's (4.30 ± 3.76 vs. 1.25 ± 3.33, p ≤ 0.001). High SID group had higher post resuscitation lactate clearance than Hartmann's group (25.4 ± 28.3% vs. 12.0 ± 34.1%, p = 0.009). Shorter hospital stay was observed in highSID group 8.04 ± 5.96 days vs. Hartmann's group 12.18 ± 12.41 days (p = 0.048). Both groups showed no difference in incidence of pulmonary oedema, acute kidney injury and mortality.

    Conclusions: Initial resuscitation using high SID fluid in selected septic patient improves pH and bicarbonate levels. The high SID group had better post resuscitation lactate clearance and shorter hospital stay.

  19. Sahimi HBMS, Selvarajoo S, Nik Jaafar NR, Sharip S, Ismail MA, Hasni MM, et al.
    Perspect Psychiatr Care, 2021 Apr;57(2):786-790.
    PMID: 32918751 DOI: 10.1111/ppc.12614
    OBJECTIVE: For the management of patients with severe eating disorders, coordinated collaboration between a multidisciplinary team is imperative. Ideally, these cases should be treated in a specialized eating disorder unit (SEDU).

    METHOD: This case report highlights the use of an integrated approach based on "Management of Really Sick Patients with Anorexia Nervosa" report in managing a case of extreme anorexia nervosa where a SEDU is unavailable.

    RESULT: In this case, early psychiatric team support is key in the patient's path to recovery.

    PRACTICE IMPLICATION: This highlights the importance of having a SEDU and staff trained in eating disorder.

  20. Ismail AM, Mohamad MS, Abdul Majid H, Abas KH, Deris S, Zaki N, et al.
    Biosystems, 2017 Dec;162:81-89.
    PMID: 28951204 DOI: 10.1016/j.biosystems.2017.09.013
    Mathematical modelling is fundamental to understand the dynamic behavior and regulation of the biochemical metabolisms and pathways that are found in biological systems. Pathways are used to describe complex processes that involve many parameters. It is important to have an accurate and complete set of parameters that describe the characteristics of a given model. However, measuring these parameters is typically difficult and even impossible in some cases. Furthermore, the experimental data are often incomplete and also suffer from experimental noise. These shortcomings make it challenging to identify the best-fit parameters that can represent the actual biological processes involved in biological systems. Computational approaches are required to estimate these parameters. The estimation is converted into multimodal optimization problems that require a global optimization algorithm that can avoid local solutions. These local solutions can lead to a bad fit when calibrating with a model. Although the model itself can potentially match a set of experimental data, a high-performance estimation algorithm is required to improve the quality of the solutions. This paper describes an improved hybrid of particle swarm optimization and the gravitational search algorithm (IPSOGSA) to improve the efficiency of a global optimum (the best set of kinetic parameter values) search. The findings suggest that the proposed algorithm is capable of narrowing down the search space by exploiting the feasible solution areas. Hence, the proposed algorithm is able to achieve a near-optimal set of parameters at a fast convergence speed. The proposed algorithm was tested and evaluated based on two aspartate pathways that were obtained from the BioModels Database. The results show that the proposed algorithm outperformed other standard optimization algorithms in terms of accuracy and near-optimal kinetic parameter estimation. Nevertheless, the proposed algorithm is only expected to work well in small scale systems. In addition, the results of this study can be used to estimate kinetic parameter values in the stage of model selection for different experimental conditions.
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