Displaying publications 1 - 20 of 24 in total

Abstract:
Sort:
  1. Aftab RA, Khan AH, AbdulRazzaq HA, Adnan AS
    JNMA J Nepal Med Assoc, 2016 12 10;54(202):85-87.
    PMID: 27935930
    Ischemic stroke is due to either local thrombus formation or emboli that occlude a cerebral artery, together with chronic kidney disease represent major mortality and morbidity.Here we present a case of 53 years old Malay man, admitted to a hospital in Malaysia complaining of sudden on set of weakness on right sided upper and lower limb associated with slurred speech. Patient was also suffering from uncontrolled hypertension, hyperlipidemia, chronic kidney disease stage 4, and diabetes mellitus (uncontrolled). He was diagnosed with acute ischemic stroke with cranial nerve 7 palsy (with right hemiparesis), acute on chronic kidney disease precipitated by dehydration and ACE inhibitor, and hyperkalemia. Patients with ischemic disease and chronic kidney disaese require constant monitering and careful selected pharmacotherapy. Patient was placed under observation and was prescribed multiple pharamacotherpay to stabalise detoriating condition.
    Matched MeSH terms: Diabetes Mellitus/diagnosis
  2. Carayol M, Leitzmann MF, Ferrari P, Zamora-Ros R, Achaintre D, Stepien M, et al.
    J Proteome Res, 2017 Sep 01;16(9):3137-3146.
    PMID: 28758405 DOI: 10.1021/acs.jproteome.6b01062
    Metabolomics is now widely used to characterize metabolic phenotypes associated with lifestyle risk factors such as obesity. The objective of the present study was to explore the associations of body mass index (BMI) with 145 metabolites measured in blood samples in the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Metabolites were measured in blood from 392 men from the Oxford (UK) cohort (EPIC-Oxford) and in 327 control subjects who were part of a nested case-control study on hepatobiliary carcinomas (EPIC-Hepatobiliary). Measured metabolites included amino acids, acylcarnitines, hexoses, biogenic amines, phosphatidylcholines, and sphingomyelins. Linear regression models controlled for potential confounders and multiple testing were run to evaluate the associations of metabolite concentrations with BMI. 40 and 45 individual metabolites showed significant differences according to BMI variations, in the EPIC-Oxford and EPIC-Hepatobiliary subcohorts, respectively. Twenty two individual metabolites (kynurenine, one sphingomyelin, glutamate and 19 phosphatidylcholines) were associated with BMI in both subcohorts. The present findings provide additional knowledge on blood metabolic signatures of BMI in European adults, which may help identify mechanisms mediating the relationship of BMI with obesity-related diseases.
    Matched MeSH terms: Diabetes Mellitus/diagnosis
  3. Chan SC, Lee TW, Teoh LC, Abdullah ZC, Xavier G, Sim CK, et al.
    Singapore Med J, 2008 Apr;49(4):311-5.
    PMID: 18418523
    INTRODUCTION: Cardiovascular disease is a major cause of morbidity and mortality. Primary care doctors as general practitioners (GPs) play a central role in prevention, as they are in contact with a large number of patients in the community through provision of first contact, comprehensive and continuing care. This study aims to assess the adequacy of cardiovascular disease preventive care in general practice through a medical audit.
    METHODS: Nine GPs in Malaysia did a retrospective audit on the records of patients, aged 45 years and above, who attended the clinics in June 2005. The adequacy of cardiovascular disease preventive care was assessed using agreed criteria and standards.
    RESULTS: Standards achieved included blood pressure recording (92.4 percent), blood sugar screening (72.7 percent) and attaining the latest blood pressure of equal or less than 140/90 mmHg in hypertensive patients (71.3 percent). Achieved standards ranged from 11.1 percent to 66.7 percent in the maintenance of hypertension and diabetic registries, recording of smoking status, height and weight, screening of lipid profile and attaining target blood sugar levels in diabetics.
    CONCLUSIONS: In the nine general practice clinics audited, targets were achieved in three out of ten indicators of cardiovascular preventive care. There were vast differences among individual clinics.
    Matched MeSH terms: Diabetes Mellitus/diagnosis
  4. Cheah JS, Tambyah JA, Mitra NR
    Trop Geogr Med, 1975 Mar;27(1):14-6.
    PMID: 1169832
    During a routine medical examination of 5280 government employees (2736 males, 2544 females; age range 17 to 66 years; 3386 Chinese, 1252 Malays, 508 Indians and 134 other ethnic groups) diabetes was found in 31 (0.59%). The prevalence was higher in males (0.95%) than in females (0.20%). The highest prevalence was in the age-group 50 to 59 years (5.4%); at ages 30 to 66 years, the overall prevalence was 2.18%. The prevalence of diabetes is higher in Indians (2.76%) than in Chinese (0.30%) and Malays (0.48%); the difference is statistically significant, as it also is in the age-group 30 to 66 years (Indians 6.36%, Malays 1.39%, Chinese 0.9%). Of the 31 cases, only four were previously known and only nine were overwieght. The possible reasons for the higher prevalence of diabetes in Indians are discussed.
    Matched MeSH terms: Diabetes Mellitus/diagnosis
  5. Chew BH, Lee PY, Cheong AT, Ismail M, Shariff-Ghazali S, Goh PP
    Prim Care Diabetes, 2016 10;10(5):383-6.
    PMID: 27459893 DOI: 10.1016/j.pcd.2016.07.003
    A persistent and increasing prevalence of diagnosed and undiagnosed diabetes mellitus has recently been reported in the National Health and Morbidity Survey 2015. This commentary recapitulates the relevant and valuable lessons in the Malaysian national diabetes registries to inform the healthcare stakeholders and policy makers on potential areas of clinical practice improvement and future researches. Under performance of the process measures and sub-optimal control of HbA1c, blood pressure and lipids profile were prevalent (<40% achieved treatment targets). Although these had improved slightly from 2009 to 2012, diabetes co-morbidities (hypertension and dyslipidaemia) and complications had also increased. Prevalence of insulin use had doubled, and lipid lowering agent use had increased about 50% in 2012 compared to 2009. We identified six clinical areas for urgent attention and improvement, and three potential areas for future research.
    Matched MeSH terms: Diabetes Mellitus/diagnosis
  6. Daud A, Shahadan SZ
    Clin Nurs Res, 2019 02;28(2):202-216.
    PMID: 28782381 DOI: 10.1177/1054773817724041
    Cardiometabolic risk (CMR) is a cluster of risk factors that may predict the occurrence of cardiovascular diseases and diabetes mellitus. This study investigated the association between CMR with body mass index (BMI) among obese adults. The CMRs, including waist circumference, systolic and diastolic blood pressure, blood glucose, total cholesterol, low-density and high-density lipoprotein, triglyceride, and high-sensitivity C-reactive protein (hs-CRP) level, were quantified in 82 obese adults. The findings indicate the highest correlation coefficient value ( r) was .618 between BMI and waist circumference; a weak correlation between mass index and systolic ( r = .276) and diastolic ( r = .311) blood pressure and hs-CRP ( r = .384); and a very weak correlation between BMI level and fasting blood glucose ( r = .069), total cholesterol ( r = .014), low-density lipoprotein (.013), high-density lipoprotein (-.154), and triglyceride (.173). Future strategies for CMR reduction among obese adults should focus on waist circumference and hs-CRP level.
    Matched MeSH terms: Diabetes Mellitus/diagnosis*
  7. Godman B, Wladysiuk M, McTaggart S, Kurdi A, Allocati E, Jakovljevic M, et al.
    Biomed Res Int, 2021;2021:9996193.
    PMID: 34676266 DOI: 10.1155/2021/9996193
    BACKGROUND: Diabetes mellitus rates and associated costs continue to rise across Europe enhancing health authority focus on its management. The risk of complications is enhanced by poor glycaemic control, with long-acting insulin analogues developed to reduce hypoglycaemia and improve patient convenience. There are concerns though with their considerably higher costs, but moderated by reductions in complications and associated costs. Biosimilars can help further reduce costs. However, to date, price reductions for biosimilar insulin glargine appear limited. In addition, the originator company has switched promotional efforts to more concentrated patented formulations to reduce the impact of biosimilars. There are also concerns with different devices between the manufacturers. As a result, there is a need to assess current utilisation rates for insulins, especially long-acting insulin analogues and biosimilars, and the rationale for patterns seen, among multiple European countries to provide future direction. Methodology. Health authority databases are examined to assess utilisation and expenditure patterns for insulins, including biosimilar insulin glargine. Explanations for patterns seen were provided by senior-level personnel.

    RESULTS: Typically increasing use of long-acting insulin analogues across Europe including both Western and Central and Eastern European countries reflects perceived patient benefits despite higher prices. However, activities by the originator company to switch patients to more concentrated insulin glargine coupled with lowering prices towards biosimilars have limited biosimilar uptake, with biosimilars not currently launched in a minority of European countries. A number of activities were identified to address this. Enhancing the attractiveness of the biosimilar insulin market is essential to encourage other biosimilar manufacturers to enter the market as more long-acting insulin analogues lose their patents to benefit all key stakeholder groups.

    CONCLUSIONS: There are concerns with the availability and use of insulin glargine biosimilars among European countries despite lower costs. This can be addressed.

    Matched MeSH terms: Diabetes Mellitus/diagnosis
  8. Goh PP, National Eye Database Study Group
    Med J Malaysia, 2008 Sep;63 Suppl C:24-8.
    PMID: 19230243
    Diabetic Eye Registry, a web based registry hosted at the National Eye Database (www.acrm.org.my/end) collects data in a systematic and prospective nature on status of diabetic retinopathy (DR) among diabetics seen for the first time at Ministry of Health ophthalmology clinics. The 2007 report on 10,586 diabetics revealed that 63.3% of eyes examined had no DR, 36.8% had any form of DR, of which 7.1% had proliferative diabetic retinopathy. Up to 15.0% of eyes had vision threatening DR requiring laser or surgery at their first visit. Data on diabetic eye registry is useful in monitoring the quality of diabetic management, particularly in eye screening as reflected by the proportion of patients with severe DR needing intervention at the first visit to Ophthalmology clinics.
    Matched MeSH terms: Diabetes Mellitus/diagnosis
  9. Khong MJ, Chong CP
    Neth J Med, 2014 Apr;72(3):127-34.
    PMID: 24846925
    New-onset diabetes mellitus after transplantation (NODAT) is one of the complications that is increasingly occurring among kidney transplanted patients. It is associated with the risk of cardiovascular disease, graft failure and mortality. The risk of NODAT development increases with time from transplantation. Therefore, early detection and prompt action are essential in reducing the risk of NODAT and its complications. This paper aims to review the screening parameters, prevention and management strategies for NODAT in both pre- and post-transplantation conditions. The pre-transplant patient should be screened for diabetes and cardiometabolic risk factors. Blood glucose evaluation for the pre-transplantation period is important for early detection of impaired glucose tolerance (IGT) and impaired fasting glucose (IFG), which are highly associated with the incidence of NODAT. Post-kidney transplant patients should have periodical blood glucose monitoring with more frequent assessment in the initial phase. As early hyperglycaemia development is a strong predictor for NODAT, prompt intervention is needed. When NODAT develops, monitoring and control of blood glucose profile, lipid profile, microalbuminuria, diabetic complications and comorbid conditions is recommended. Immunosuppressive regimen modification may be considered as suggested by the Kidney Disease: Improving Global Outcomes (KDIGO) guideline to reverse or to improve the diabetes after weighing the risk of rejection and other potential adverse effects. Strategies for modifying immunosuppressive agents include dose reduction, discontinuation, and selection of calcineurin inhibitor (CNI), anti-metabolite agents, mammalian target of rapamycin inhibitors (mTORi), belatacept and corticosteroids. Lifestyle modification and a conventional anti-diabetic approach, as in the type 2 diabetes mellitus guidelines, are also recommended in NODAT management.
    Matched MeSH terms: Diabetes Mellitus/diagnosis
  10. Lim CP, Leong JH, Kuan MM
    IEEE Trans Pattern Anal Mach Intell, 2005 Apr;27(4):648-53.
    PMID: 15794170
    A hybrid neural network comprising Fuzzy ARTMAP and Fuzzy C-Means Clustering is proposed for pattern classification with incomplete training and test data. Two benchmark problems and a real medical pattern classification task are employed to evaluate the effectiveness of the hybrid network. The results are analyzed and compared with those from other methods.
    Matched MeSH terms: Diabetes Mellitus/diagnosis
  11. Loo KW, Griffiths LR, Gan SH
    J Diabetes, 2014 Sep;6(5):447.
    PMID: 24645716 DOI: 10.1111/1753-0407.12151
    Matched MeSH terms: Diabetes Mellitus/diagnosis
  12. Mafauzy M, Hussein Z, Chan SP
    Med J Malaysia, 2011 Aug;66(3):175-81.
    PMID: 22111435 MyJurnal
    DiabCare Malaysia 2008 evaluated the current status of diabetes care in Malaysia as a continuation of similar cross-sectional studies conducted previously in 1997, 1998, 2001 and 2003. The current study recruited 1670 patients from general hospitals, diabetes clinics and referral clinics to study current scenario of diabetes management. We report the results of type 2 diabetic population who constituted 92.8% (n = 1549). Results showed deteriorating glycaemic control with mean HbA1c of 8.66 +/- 2.09% with only 22% of the patients achieving ADA target of < 7%. 80.3% of patients were hypertensive and 75% were on anti-hypertensive medication. 46% of patients had LDL levels > 2.6 mmol/L; 19.8% had triglycerides > 2.2 mmol/L; 27.4% had HDL < 1 mmol/L despite 85% of the patients being on lipid lowering agents. Microvascular, macrovascular and severe late complications were reported in 75%, 28.9% and 25.4% patients respectively. The rates of diabetic complications were cataract 27.2%, microalbuminuria 7%, neuropathy symptoms 45.9%, leg amputation 3.8% and history of angina pectoris was 18.4%. Quality of life evaluation showed that about one third of patients have poor quality of life. Also, there was poor adherence to diet, exercise and self testing of blood glucose. In conclusion, majority of the patients were still not satisfactorily controlled. There is an urgent need for effective remedial measures to increase adherence to practice guidelines and to educate both patients and healthcare personnel on importance of achieving clinical targets for metabolic control.
    Matched MeSH terms: Diabetes Mellitus/diagnosis
  13. Mafauzy M
    Med J Malaysia, 2005 Jun;60(2):212-7.
    PMID: 16114163 MyJurnal
    This Diabcare-Asia project was initiated to study the status of diabetes care and prevalence of diabetic complications in Asia and this study was done to evaluate the above in primary private healthcare in Malaysia. A total of 49 private clinics participated in this study from which a total of 438 patients were included and analysed. The majority of patients (96.5%) had type 2 diabetes mellitus and 81.4% had BMI > or =23 kg/m2. Only 12.0% of the patients had their HbA1c measured in the preceding 12 months. As for glycaemic control only 20% of the patients had HbA1c <7% and 11% had FPG < 6.7 mmol/L. As for lipid levels, only 12.3% of the patients had total cholesterol < 4.8 mmol/L; 30.9% had HDL-cholesterol > 1.2 mmol/L and 49.8% had triglycerides < 1.7 mmol/L. Despite the high proportion of patients having dyslipidaemia. only 12.4% of the patients were on lipid lowering therapy. As for blood pressure, 55.9% of the patients had systolic pressure > or =140 mmHg and 40.9% had diastolic pressure > or =90 mmHg. However, only 32.4% of the patients were on antihypertensive medication. Only 37.4% of the patients admitted to adhering to diabetic diet regularly and 32.0% exercised regularly. As for glucose monitoring only 6.9% of the patients did home blood glucose monitoring and 6.2% did home urine glucose. There was also a high complication rate with the commonest being neuropathy (30.1%) followed by background retinopthy (23.5%), albuminuria (22.9%) and microalbuminuria (20.4%). In conclusion, the majority of diabetic patients treated at the primary care level were not satisfactorily controlled and this was associated with a high prevalence of complications. There is an urgent need to educate both patients and health care personnel on the importance of achieving the clinical targets and greater effort must be made to achieve these targets.
    Matched MeSH terms: Diabetes Mellitus/diagnosis*
  14. Mallhi TH, Khan YH, Adnan AS
    Am J Trop Med Hyg, 2020 Dec;103(6):2164-2167.
    PMID: 33124548 DOI: 10.4269/ajtmh.20-0794
    Despite myriad improvements in the care of COVID-19 patients, atypical manifestations are least appreciated during the current pandemic. Because COVID-19 is primarily manifesting as an acute respiratory illness with interstitial and alveolar pneumonia, the possibility of viral invasions into the other organs cannot be disregarded. Acute kidney injury (AKI) has been associated with various viral infections including dengue, chikungunya, Zika, and HIV. The prevalence and risks of AKI during the course of COVID-19 have been described in few studies. However, the existing literature demonstrate great disparity across findings amid variations in methodology and population. This article underscores the propensity of AKI among COVID-19 patients, limitations of the exiting evidence, and importance of timely identification during the case management. The prevalence of AKI is variable across the studies ranging from 4.7% to 81%. Evidence suggest old age, comorbidities, ventilator support, use of vasopressors, black race, severe infection, and elevated levels of baseline serum creatinine and d-dimers are independent risk factors of COVID-19 associated with AKI. COVID-19 patients with AKI also showed unsatisfactory renal recovery and higher mortality rate as compared with patients without AKI. These findings underscore that AKI frequently occurs during the course of COVID-19 infection and requires early stratification and management.
    Matched MeSH terms: Diabetes Mellitus/diagnosis
  15. Menon R, Mohd Noor FS, Draman CR, Seman MR, Ghani AS
    Saudi J Kidney Dis Transpl, 2012 Sep;23(5):1109-14.
    PMID: 22982937 DOI: 10.4103/1319-2442.100972
    Diabetic nephropathy (DN) has become the most common cause of end-stage renal failure. Early referral and specific nephrology treatment could delay the disease progression and should reduce the treatment cost, mortality and morbidity rate in these patients. This is a single-center, retrospective review of all DN patients referred to the nephrology clinic in Hospital Sultan Ahmad Shah, Temerloh, from 2000 to 2009, to study and define the clinical characteristics of DN patients at the time of the referral to the nephrology clinic. A total of 75 patient case records were reviewed. Forty-three (57.3%) of them were males, with a median age of 64.3 ± 8.5 years at the time of referral. Only 14.7% of them had blood pressure lower than 125/75 mmHg. Co-morbid and disease-related complications were also commonly diagnosed and 28.4% (n = 21) had ischemic heart disease, 23% (n = 17) had diabetic retinopathy and 20.3% (n = 15) had diabetic neuropathy. The mean serum creatinine at the time of referral was 339.8 ± 2.3 μmol/L, gylcated hemoglobin A 1c (HbA1C) was 8.1 ± 2.0 %, serum fasting glucose was 9.6 ± 4.7 mmol/L, serum cholesterol was 5.4 ± 1.2 mmol/L and hemoglobin level was 10.6 ± 2.9 g/dL. Although female patients were less frequently seen in the early stages of chronic kidney disease (CKD), they comprised at least 72.7% of CKD stage 5 (male:female; 6:16, P <0.05). Twenty-nine percent (n=22) of them were referred at CKD stage 5, 48% (n=36) were at CKD stage 4, 17.3% (n=13) were at CKD stage 3, 4% (n=3) were at CKD stage 2 and 1.3% (n=1) was at CKD stage 1. Advanced CKD patients were frequently prescribed with more antihypertensives. CKD stage 5 patients were prescribed with two-and-half types of antihypertensive as compared to two types of anti-hypertensive in CKD stage 2 and stage 3. Furthermore, ACE-inhibitors (ACE-I) were less frequently prescribed to them. Only 22.7% (n=5) of CKD stage 5 patients received ACE-I and 30% (n=11) in CKD stage 4 patients as compared to 53.4% (n=7) in CKD patients stage 3. This review shows that DN patients were referred late to the nephrologists and the overall disease management was suboptimal. Antihypertensive requirement was also increased and ACEIs were less frequently prescribed in the advanced diabetic nephropathy patients.
    Study site: Nephrology Clinic, Hospital Sultan Ahmad Shah, Temerloh, Pahang, Malaysia
    Matched MeSH terms: Diabetes Mellitus/diagnosis
  16. Nilashi M, Bin Ibrahim O, Mardani A, Ahani A, Jusoh A
    Health Informatics J, 2018 12;24(4):379-393.
    PMID: 30376769 DOI: 10.1177/1460458216675500
    As a chronic disease, diabetes mellitus has emerged as a worldwide epidemic. The aim of this study is to classify diabetes disease by developing an intelligence system using machine learning techniques. Our method is developed through clustering, noise removal and classification approaches. Accordingly, we use expectation maximization, principal component analysis and support vector machine for clustering, noise removal and classification tasks, respectively. We also develop the proposed method for incremental situation by applying the incremental principal component analysis and incremental support vector machine for incremental learning of data. Experimental results on Pima Indian Diabetes dataset show that proposed method remarkably improves the accuracy of prediction and reduces computation time in relation to the non-incremental approaches. The hybrid intelligent system can assist medical practitioners in the healthcare practice as a decision support system.
    Matched MeSH terms: Diabetes Mellitus/diagnosis
  17. Othman NH, Nor ZM, Biswal BM
    Asian Pac J Cancer Prev, 2008 Jul-Sep;9(3):473-8.
    PMID: 18990023
    OBJECTIVE: To determine the trend of cancer cases in one major hospital in Kelantan over a 20 year period from 1987 to 2007 and to speculate the change in trend due to the socio-economic and other health status in the state.

    METHODOLOGY: All data on clinically diagnosed cancer cases in Hospital Universiti Sains Malaysia [HUSM] were retrieved from the hospital medical records. The cancers were classified according to ICD10 and scrutinized to avoid duplicate or more entries. The increment in cancer incidence was calculated based on total numbers of cancer cases per each 5-6 year period.

    RESULTS: A total of 12,228 solid cancers were diagnosed during the period. There is an increment of 20.1% for 1991-1996 from 1987-1990 period, 67.4% for 1997-2001 from 1991-1996 period and 305.9% for 2002-2007 from the 1997-2001 period. The rise was steep in the last 5-6 years. After excluding referred cases from states outside Kelantan, the increments were 20.1%, 67.4% and 143.6% for the consecutive 5-6 year periods. The predominant rising trends were seen for cancers of the female organs, digestive tract and endocrine organs.

    CONCLUSION: Cancer cases in HUSM are showing a rising trend, associated with increasing prevalence of smoking, obesity and diabetes in the community served by the hospital. Since HUSM is the only hospital managing cancer in the state of Kelantan, to reduce cancer incidence in the state, life-style issues need to be addressed.
    Matched MeSH terms: Diabetes Mellitus/diagnosis
  18. Rao PV, Ahuja MM, Trivedi BB, Ramachandran M, Samal KC, Zain AZ, et al.
    J Indian Med Assoc, 1998 May;96(5):155-7.
    PMID: 9828573
    Matched MeSH terms: Diabetes Mellitus/diagnosis
  19. Samad NA, Yong PW, Mahendran K
    Malays J Pathol, 2015 Aug;37(2):137-40.
    PMID: 26277670 MyJurnal
    BACKGROUND: Data from the National Health and Morbidity Survey 2011 showed that 20.8% of Malaysians above 30 years have diabetes. 10.1%of them are undiagnosed. Mobile blood drives could complement the public health department efforts in diabetes screening for early detection of the illness.
    AIMS: This study aims to determine the necessity of diabetes screening as a routine screening program during blood donation campaign.
    METHODS AND MATERIAL: Blood donation campaigns which involved the public community between January 2013 and June 2013 were included in this study. Donors above 30-years-old, not known to have diabetes, consented for diabetes screening. Diabetes screening was done by checking random capillary blood sugar (RCBS) levels while performing a Hemoglobin test and ABO grouping. Donors with RCBS of ≥ 7.8 mmol/L were given appointments for oral glucose tolerance test (OGTT) to confirm the diagnosis of diabetes.
    RESULTS: A total of 211 diabetes screenings were performed. Mean RCBS was 6 mmol/L. 43(20.4%) donors had RCBS≥ 7.8 mmol/L. 10 donors were later diagnosed to have diabetes (5.0%) and 5 donors were prediabetes (2.5%). 9 donors (4.3%) did not turn up for further investigation.
    CONCLUSIONS: Blood donors are expected to be healthy volunteers. The diabetes prevalence among blood donors (5.0%) is considered low if compared with the prevalence in the whole population (20.8%). However, the number is largely comparable to the prevalence of undiagnosed diabetes in the country (10.1%). Routine diabetes screening during blood donation campaign should be implemented to safeguard donors' health and serve as a public health initiative to improve community health.
    Matched MeSH terms: Diabetes Mellitus/diagnosis*
Filters
Contact Us

Please provide feedback to Administrator (afdal@afpm.org.my)

External Links