Displaying publications 21 - 40 of 127 in total

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  1. Menon V
    Med J Malaysia, 2012 Jun;67(3):353-4; quiz 355.
    PMID: 23082439 MyJurnal
    Target blood sugar levels in diabetes are achieved through manipulation of diet, exercise and medication. A change in any one of these three things can skew blood sugar levels and create complications associated with hyperglycemia or hypoglycemia. Fasting during the month of Ramadan is a religious activity that devout Muslims practice whether they are diabetic or not. Since such fasting involves abstinence from food and water for twelve hours or more during the day from dawn to dusk, it is evident that advice regarding exercise and medication will have to be modified during this period.
    Matched MeSH terms: Diabetes Mellitus, Type 1/blood; Diabetes Mellitus, Type 1/drug therapy*
  2. Tan F, Loh WK
    Diabetes Res Clin Pract, 2010 Nov;90(2):e30-2.
    PMID: 20832134 DOI: 10.1016/j.diabres.2010.08.009
    Two previously healthy Malaysian women presented abruptly with severe diabetic ketoacidosis during pregnancy and immediate postpartum period. Their clinical courses, biochemical and immunological profiles were consistent with fulminant type 1 diabetes first described in the Japanese. Fulminant type 1 diabetes may not be as rare as currently reported outside Japan.
    Matched MeSH terms: Diabetes Mellitus, Type 1/complications*; Diabetes Mellitus, Type 1/diagnosis
  3. Indran M, Rokiah P, Chan SP, Kuppusamy UR
    Med J Malaysia, 2004 Jun;59(2):166-70.
    PMID: 15559165 MyJurnal
    The present study was designed to explore the relationship between lipid peroxidation and antioxidant enzymes in young Malaysian insulin dependant diabetes mellitus (IDDM) patients. Indicative parameters of lipid peroxidation, activities of antioxidant enzymes and diabetes parameters were evaluated in single blood samples from 30 young type 1 diabetic patients and 30 healthy control subjects. Antioxidant enzymes namely superoxide dismutase (SOD), catalase (CAT) and glutathione peroxidase (GPx) were significantly decreased while plasma malondialdehyde (MDA), an indicator for lipid peroxidation was significantly increased in IDDM patients compared to control subjects. Positive correlations between HbA1c and MDA; fasting blood glucose (FBG) and MDA and negative correlations between HbA1c and SOD; MDA and SOD were observed in these patients. No significant correlation existed between HbA1c and fasting blood glucose, GPx or CAT in the diabetic patients. The strong correlations found between lipid peroxidation, antioxidant enzymes and diabetes parameters confirms the existence of oxidative stress in our IDDM patients.
    Matched MeSH terms: Diabetes Mellitus, Type 1/blood*; Diabetes Mellitus, Type 1/complications*
  4. Ng LC, Teng LC, Ng ML, Sazali BS, Khalid BA
    Malays J Pathol, 2000 Dec;22(2):73-8.
    PMID: 16329538
    Detection of microalbuminuria is important in the management of diabetic patients since it is predictive of development of proteinuria and nephropathy. Two sensitive and specific in-house ELISAs for microalbuminuria were established and validated. One of the ELISAs was based on antigen coating while the other employed antibody coating. Recovery and linearity experiments gave acceptable results of 100 +/- 10%, while precision results were <10% for intra-assay and <12% for inter-assay coefficients of variation (CVs). The standard curve ranged from 10-625 ug/l, equivalent to 0.2-12.5 mg/l for urine samples diluted 1:20 fold. When the antibody coated ELISA was compared to antigen coated ELISA, a correlation of r=0.996 was obtained. When compared to commercial kits, the in-house ELISAs gave good correlations of r=0.961 versus the Boehringer Mannheim Micral Test strips and r=0.940 versus Ames Microalb Turbidimetry. The normal microalbumin reference ranges determined for 12h, first morning and random urine samples were 0.7-5.3 mg, 0.1-10.2 mg/l and 0.8-26.1 mg/l respectively. The normal albumin excretion rate (AER) was 1.0-7.3 ug/min while untimed urine samples gave results of 0.1-0.9 and 0.2-1.6 mg/mmol after dividing by creatinine concentrations. The ELISAs were used to detect microalbuminuria in 338 random urine samples from diabetic patients. A high percentage 47.9% was found to be positive for microalbuminuria and 18.0% had macroalbuminuria >25 mg/mmol. Thus screening for microalbuminuria together with creatinine measurements using random urine samples can be used for management of diabetic patients.
    Matched MeSH terms: Diabetes Mellitus, Type 1/physiopathology; Diabetes Mellitus, Type 1/urine*
  5. Lappin DF, Robertson D, Hodge P, Treagus D, Awang RA, Ramage G, et al.
    J. Periodontol., 2015 Nov;86(11):1249-59.
    PMID: 26252750 DOI: 10.1902/jop.2015.150149
    BACKGROUND: Periodontal disease is a major complication of type 1 diabetes mellitus (T1DM). The aim of the present study is to investigate the relationship between glycated hemoglobin and circulating levels of interleukin (IL)-6, IL-8, and C-X-C motif chemokine ligand 5 (CXCL5) in non-smoking patients suffering from T1DM, with and without periodontitis. In addition, to determine the effect of advanced glycation end products (AGE) in the presence and absence of Porphyromonas gingivalis lipopolysaccharide (LPS) on IL-6, IL-8, and CXCL5 expression by THP-1 monocytes and OKF6/TERT-2 cells.

    METHODS: There were 104 participants in the study: 19 healthy volunteers, 23 patients with periodontitis, 28 patients with T1DM, and 34 patients with T1DM and periodontitis. Levels of blood glucose/glycated hemoglobin (International Federation of Clinical Chemistry [IFCC]) were determined by high-performance liquid chromatography. Levels of IL-6, IL-8, and CXCL5 in plasma were determined by enzyme-linked immunosorbent assay (ELISA). In vitro stimulation of OKF6/TERT-2 cells and THP-1 monocytes was performed with combinations of AGE and P. gingivalis LPS. Changes in expression of IL-6, IL-8, and CXCL5 were monitored by ELISA and real-time polymerase chain reaction.

    RESULTS: Patients with diabetes and periodontitis had higher plasma levels of IL-8 than patients with periodontitis alone. Plasma levels of IL-8 correlated significantly with IFCC units, clinical probing depth, and attachment loss. AGE and LPS, alone or in combination, stimulated IL-6, IL-8, and CXCL5 expression in both OKF6/TERT-2 cells and THP-1 monocytes.

    CONCLUSIONS: Elevated plasma levels of IL-8 potentially contribute to the cross-susceptibility between periodontitis and T1DM. P. gingivalis LPS and AGE in combination caused significantly greater expression of IL-6, IL-8, and CXCL5 from THP-1 monocytes and OKF6/TERT-2 cells than LPS alone.

    Matched MeSH terms: Diabetes Mellitus, Type 1/complications; Diabetes Mellitus, Type 1/metabolism*
  6. Tan SY, Mei Wong JL, Sim YJ, Wong SS, Mohamed Elhassan SA, Tan SH, et al.
    Diabetes Metab Syndr, 2018 10 10;13(1):364-372.
    PMID: 30641727 DOI: 10.1016/j.dsx.2018.10.008
    Type 1 and type 2 diabetes mellitus is a serious and lifelong condition commonly characterised by abnormally elevated blood glucose levels due to a failure in insulin production or a decrease in insulin sensitivity and function. Over the years, prevalence of diabetes has increased globally and it is classified as one of the leading cause of high mortality and morbidity rate. Furthermore, diabetes confers a huge economic burden due to its management costs as well as its complications are skyrocketing. The conventional medications in diabetes treatment focusing on insulin secretion and insulin sensitisation cause unwanted side effects to patients and lead to incompliance as well as treatment failure. Besides insulin and oral hypoglycaemic agents, other treatments such as gene therapy and induced β-cells regeneration have not been widely introduced to manage diabetes. Therefore, this review aims to deliver an overview of the current conventional medications in diabetes, discovery of newer pharmacological drugs and gene therapy as a potential intervention of diabetes in the future.
    Matched MeSH terms: Diabetes Mellitus, Type 1/genetics; Diabetes Mellitus, Type 1/therapy*
  7. Sien PLM, Jamaludin NIA, Samrin SNA, S NS, Ismail R, Anuar Zaini A, et al.
    J Health Psychol, 2020 08;25(9):1310-1318.
    PMID: 31755316 DOI: 10.1177/1359105319890397
    Adolescents with type 1 diabetes mellitus are prone to have eating problems. This study aimed to determine factors of eating problems among this population in University Malaya Medical Centre. Fifteen adolescents who scored more than 20 marks in the Diabetes Eating Problem Survey - Revised questionnaire were invited for an in-depth interview. Questions were asked based on their questionnaire's response. The interview sessions were recorded, transcribed verbatim, and thematic analysis was used. Five main themes emerged: pressure, physiological factor, psychological factor, patient's low compliances to insulin intake and food control and fear. Early referral to child psychologist would prevent it from developing.
    Matched MeSH terms: Diabetes Mellitus, Type 1/epidemiology*; Diabetes Mellitus, Type 1/psychology
  8. Salem SD, Saif-Ali R, Muniandy S, Al-Hamodi Z, Ismail IS
    Ann Acad Med Singap, 2014 Feb;43(2):107-12.
    PMID: 24652431
    INTRODUCTION: Insulin resistance in latent autoimmune diabetes in adults (LADA) patients is controversial. The aim of this study was to evaluate insulin resistance and its related factors (metabolic syndrome parameters) among subjects with LADA and glutamic acid decarboxylase antibodies (GADA) negative diabetes, as well as the impact of these factors on insulin resistance.

    MATERIALS AND METHODS: GADA levels were investigated in 1140 diabetic patients aged between 30 and 70 years. Insulin resistance and metabolic syndrome parameters were assessed in LADA and GAD-negative diabetic patients by general linear model. In addition, the impact of metabolic syndrome factors on insulin resistance was assessed in LADA and glutamic acid decarboxylase (GAD)-negative diabetic patients.

    RESULTS: LADA was diagnosed in 33 subjects from 1140 Malaysian diabetic patients (prevalence = 2.9%). The results showed that LADA patients had higher insulin resistance and high density lipoprotein cholesterol (HDLc) (P = 0.003 and 0.00017 respectively) and lower body mass index (BMI) (P = 0.007) compared to GAD-negative diabetic patients. The HDLc was associated with decreased insulin resistance in LADA patients (P = 0.041), whereas HbA1c, triacylglycerides (TG) and waist were associated with increased insulin resistance in GAD-negative diabetic patients (P = 3.6×10⁻¹², 1.01×10⁻⁵ and 0.004 respectively). HbA1c was highly associated with decreasing β-cell function in both LADA (P = 0.009) and GAD-negative diabetic subjects (P = 2.2×10⁻²⁸).

    CONCLUSION: Insulin resistance is significantly higher in LADA than GAD-negative diabetic Malaysian subjects.
    Matched MeSH terms: Diabetes Mellitus, Type 1/blood*; Diabetes Mellitus, Type 1/metabolism*
  9. Mavinkurve M, Jalaludin MY, Chan EWL, Noordin M, Samingan N, Leong A, et al.
    PMID: 33763028 DOI: 10.3389/fendo.2021.606018
    Background: Children with Type 1 diabetes (T1DM) commonly present in diabetic ketoacidosis (DKA) at initial diagnosis. This is likely due to several factors, one of which includes the propensity for T1DM to be misdiagnosed. The prevalence of misdiagnosis has been reported in non-Asian children with T1DM but not in Asian cohorts.

    Aim: To report the rate of misdiagnosis and its associated risk factors in Malaysian children and adolescents with T1DM.

    Methods: A retrospective analysis of children with T1DM below 18 years of age over a 10 year period was conducted.

    Results: The cohort included 119 children (53.8% female) with a mean age 8.1 SD ± 3.9 years. 38.7% of cases were misdiagnosed, of which respiratory illnesses were the most common (37.0%) misdiagnosis. The rate of misdiagnosis remained the same over the 10 year period. Among the variables examined, younger age at presentation, DKA at presentation, healthcare professional (HCP) contact and admission to the intensive care unit were significantly different between the misdiagnosed and correctly diagnosed groups (p <0.05).

    Conclusion: Misdiagnosis of T1DM occurs more frequently in Malaysian children <5 years of age. Misdiagnosed cases are at a higher risk of presenting in DKA with increased risk of ICU admission and more likely to have had prior HCP contact. Awareness of T1DM amongst healthcare professionals is crucial for early identification, prevention of DKA and reducing rates of misdiagnosis.

    Matched MeSH terms: Diabetes Mellitus, Type 1/diagnosis*; Diabetes Mellitus, Type 1/epidemiology*
  10. Buzinin SM, Alabsi AM, Tan AT, Vincent-Chong VK, Swaminathan D
    ScientificWorldJournal, 2014;2014:232535.
    PMID: 25147841 DOI: 10.1155/2014/232535
    The association between diabetes mellitus and chronic periodontal disease has long been established. Most of the researches linking these two very common chronic diseases were based on type 2 diabetes mellitus and chronic periodontal disease. However, this study was conducted to investigate the association between type 1 diabetes and chronic periodontal disease in Malaysian subjects. Forty-one Malaysian subjects, of which 20 subjects were type 1 diabetics and with chronic periodontal disease (test group) and 21 subjects with only chronic periodontal disease (control group), were included in the study. Periodontal parameters and plaque samples for microbiological evaluation were done at baseline, 2 and 3 months after nonsurgical periodontal therapy. Blood samples were taken from only the test group and evaluated for HbA1c at baseline and 3 months after periodontal therapy. There were no statistically significant difference in periodontal parameters between groups (P>0.05) and no significant improvement in the level of HbA1c in the test group. Microbiological studies indicated that there were significant reductions in the levels of the tested pathogens in both groups. The results of our study were similar to the findings of several other studies that had been done previously.
    Matched MeSH terms: Diabetes Mellitus, Type 1/complications; Diabetes Mellitus, Type 1/drug therapy; Diabetes Mellitus, Type 1/metabolism*; Diabetes Mellitus, Type 1/microbiology*
  11. Ooi HL, Wu LL
    Med J Malaysia, 2011 Oct;66(4):308-12.
    PMID: 22299548
    Hospital UKM (Universiti Kebangsaan Malaysia) introduced the use of insulin pump therapy in children and adolescents with Type 1 Diabetes in Malaysia in April 2004. This study aims to evaluate the effectiveness of pump therapy and its impact on metabolic control among patients from our institution. Insulin pump therapy resulted in sustainable improvement in glycemic control throughout the six years of treatment with reduction in HbA1c in the first two years of pump use was statistically significant. The BMI SDS showed an increase trend but the changes before and after pump use was insignificant. There is also high level of treatment satisfaction reported among our insulin pump patients.
    Matched MeSH terms: Diabetes Mellitus, Type 1/blood; Diabetes Mellitus, Type 1/drug therapy*
  12. Fuziah MZ, Hong JY, Zanariah H, Harun F, Chan SP, Rokiah P, et al.
    Med J Malaysia, 2008 Sep;63 Suppl C:37-40.
    PMID: 19230245
    In Malaysia, Diabetes in Children and Adolescents Registry (DiCARE) was launched nationwide in August 2006 to determine and monitor the number, the time trend of diabetes mellitus (DM) patients, their socio-demographic profiles, outcome of intervention and facilitate research using this registry. This is an on going real time register of diabetic patients < or = 20 years old via the e-DiCARE, an online registration system. To date were 240 patients notified from various states in Malaysia. The mean age was 12.51 years (1.08-19.75) and 46.4% were boys. The mean age at diagnosis was 8.31 +/- 4.13 years old with an estimated duration of diabetes of 4.32 +/- 3.55 years. A total of 166/240 (69.2%) have T1DM, 42/240 (17.5%) have T2DM and 18/240 (7.5%) have other types of DM. Basis of diagnosis was known in 162 patients with T1DM and 41 patients with T2DM. In T1DM patients, 6.0% of the girls and 19.1% boys were overweight or obese. As for T2DM, 64.3% had their BMI reported: 66.7% girls and 91.6% boys were overweight or obese. Most patients (80.4%) practiced home blood glucose monitoring. Patients were seen by dietitian (66.7%), diabetes educator (50.0%), and optometrist or ophthalmologist (45.0%). Only 10.8% attended diabetic camps. In the annual census of 117 patients, the mean HbAlc level was 10.0% + 2.2 (range 5.2 to 17.0%). The early results of DiCARE served as a starting point to improve the standard of care of DM among the young in the country.
    Matched MeSH terms: Diabetes Mellitus, Type 1/epidemiology*; Diabetes Mellitus, Type 1/physiopathology
  13. Wan Nazaimoon WM, Khaid BAK
    Malays J Pathol, 1998 Dec;20(2):83-9.
    PMID: 10879267
    We successfully developed an in-house, competitive enzyme immunoassay to measure advanced glycosylation end-products (AGE) in serum. The assay involved coating microtitre wells with AGE-BSA at 8 micrograms/ml for 4 hours, followed by overnight incubation of 20 microliters sample (prediluted at 1:6) with 80 microliters antiserum (1:8000). HRP-labelled goat anti-rabbit was used as the second antibody and 3,5',5,5'-tetramethylbenzidine dihydrochloride as the substrate. Incubation was carried out at 4 degrees C. As suggested in an earlier study, we standardised the AGE units against normal human serum (NHS). Thus, one AGE unit was defined as the inhibition that resulted when the 1:6 diluted NHS was assayed. Mean (+/- SD) AGE level in normal subjects (n = 37) was significantly lower than in diabetes subjects with microalbuminuria (n = 57) (6.0 +/- 0.7 versus 10.2 +/- 4.7 units/ml, p = 0.0001). With the availability of in-house assay and by standardising the AGE unit with the other laboratories, more studies could be undertaken and results compared, and possibly, further elucidate the roles of AGE in the pathogenesis of diabetic complications.
    Matched MeSH terms: Diabetes Mellitus, Type 1/blood; Diabetes Mellitus, Type 1/urine
  14. Nawawi HM, Muhajir M, Kian YC, Mohamud WN, Yusoff K, Khalid BA
    Diabetes Res Clin Pract, 2002 Jun;56(3):221-7.
    PMID: 11947970 DOI: 10.1016/s0168-8227(02)00009-8
    This cross-sectional study compared serum lipoprotein (a) [Lp(a)] concentrations in type 1 and type 2 diabetic subjects and examined the determinants of Lp(a) concentrations in both types of diabetes. Serum Lp(a) was measured in 26 type 1 and 107 type 2 diabetic patients and 126 non-diabetic controls. HbA(1c), fasting lipids and urinary albumin were also assayed. Lp(a) concentrations were higher in both type 1 and type 2 diabetic patients compared with controls (P<0.0001 and P<0.0001, respectively), and were higher in type 1 than type 2 diabetic patients (P<0.05). Waist-hip ratio (WHR) was an independent determinant of Lp(a) concentrations in both type 1 and type 2 diabetes.
    Matched MeSH terms: Diabetes Mellitus, Type 1/blood*; Diabetes Mellitus, Type 1/physiopathology
  15. Nazaimoon WM, Ng ML, Satgunasingam N, Khalid BA
    Med J Malaysia, 1992 Jun;47(2):103-9.
    PMID: 1494329
    Growth hormone (GH) levels were measured after a 75g oral glucose load (OGTT) in normal adults, patients with impaired glucose tolerance (IGT), insulin-dependent diabetes mellitus (IDDM) and acromegaly. Nadir GH levels at 2-hour post-OGTT in normal subjects ranged from 0.4 to 8.4 mIU/L, the 95% confidence interval being 0.4-4.4 mIU/L. In IGT and IDDM subjects basal fasting GH levels were not significantly different from normal and did not alter during OGTT. The high fasting GH level measured in one each of the IGT and IDDM patients was suppressible at 1-hour after glucose intake. In contrast, acromegalic patients had elevated fasting GH levels (11.8-178 mIU/L) although in 3 patients, the levels were mildly elevated and overlapped with normal. OGTT failed or only partially suppressed GH secretion in all acromegalics. Therefore, elevated fasting GH levels are not diagnostic and OGTT is required for accurate diagnosis and assessment of treatment of acromegalic patients.
    Matched MeSH terms: Diabetes Mellitus, Type 1/blood; Diabetes Mellitus, Type 1/metabolism*
  16. Hassanein M, Alamoudi RM, Kallash MA, Aljohani NJ, Alfadhli EM, Tony LE, et al.
    Diabetes Res Clin Pract, 2021 Feb;172:108626.
    PMID: 33321160 DOI: 10.1016/j.diabres.2020.108626
    OBJECTIVES: The DaR Global survey was conducted to determine the impact of the COVID-19 pandemic on the intentions to fast and the outcomes of fasting in <18 years versus ≥18 years age groups with type 1 diabetes mellitus (T1DM).

    METHODS: Muslim people with T1DM were surveyed in 13 countries between June and August 2020, shortly after the end of Ramadan (23rd April-23rd May 2020) using a simple questionnaire.

    RESULTS: 71.1% of muslims with T1DM fasted during Ramadan. Concerns about COVID-19 were higher in individuals ≥18 years (p = 0.002). The number of participants who decided not to fast plus those who received Ramadan-focused education were significantly higher in the ≥18-year group (p 

    Matched MeSH terms: Diabetes Mellitus, Type 1/epidemiology*; Diabetes Mellitus, Type 1/psychology
  17. Law GR, Gilthorpe MS, Secher AL, Temple R, Bilous R, Mathiesen ER, et al.
    Diabetologia, 2017 04;60(4):618-624.
    PMID: 28105519 DOI: 10.1007/s00125-017-4205-7
    AIMS/HYPOTHESIS: This study aimed to examine the relationship between average glucose levels, assessed by continuous glucose monitoring (CGM), and HbA1clevels in pregnant women with diabetes to determine whether calculations of standard estimated average glucose (eAG) levels from HbA1c measurements are applicable to pregnant women with diabetes.
    METHODS: CGM data from 117 pregnant women (89 women with type 1 diabetes; 28 women with type 2 diabetes) were analysed. Average glucose levels were calculated from 5-7 day CGM profiles (mean 1275 glucose values per profile) and paired with a corresponding (±1 week) HbA1c measure. In total, 688 average glucose-HbA1c pairs were obtained across pregnancy (mean six pairs per participant). Average glucose level was used as the dependent variable in a regression model. Covariates were gestational week, study centre and HbA1c.
    RESULTS: There was a strong association between HbA1c and average glucose values in pregnancy (coefficient 0.67 [95% CI 0.57, 0.78]), i.e. a 1% (11 mmol/mol) difference in HbA1c corresponded to a 0.67 mmol/l difference in average glucose. The random effects model that included gestational week as a curvilinear (quadratic) covariate fitted best, allowing calculation of a pregnancy-specific eAG (PeAG). This showed that an HbA1c of 8.0% (64 mmol/mol) gave a PeAG of 7.4-7.7 mmol/l (depending on gestational week), compared with a standard eAG of 10.2 mmol/l. The PeAG associated with maintaining an HbA1c level of 6.0% (42 mmol/mol) during pregnancy was between 6.4 and 6.7 mmol/l, depending on gestational week.
    CONCLUSIONS/INTERPRETATION: The HbA1c-average glucose relationship is altered by pregnancy. Routinely generated standard eAG values do not account for this difference between pregnant and non-pregnant individuals and, thus, should not be used during pregnancy. Instead, the PeAG values deduced in the current study are recommended for antenatal clinical care.
    Matched MeSH terms: Diabetes Mellitus, Type 1/blood*; Diabetes Mellitus, Type 1/metabolism*
  18. Ismail IS, Nazaimoon WM, Mohamad WB, Letchuman R, Singaraveloo M, Pendek R, et al.
    Diabetes Res Clin Pract, 2000 Jan;47(1):57-69.
    PMID: 10660222 DOI: 10.1016/s0168-8227(99)00104-7
    Recent studies have shown that good glycaemic control can prevent the development of diabetic complications in type 1 and type 2 diabetes. We wished to observe the glycaemic control in patients from different centres in Peninsular Malaysia and the factors that determine it. We recruited 926 patients with diabetes diagnosed before age 40 years from seven different centres, with proportionate representation from the three main ethnic groups. Clinical history and physical examination were done and blood taken for HbA1c and fasting glucose. The overall glycaemic control was poor with geometric mean HbA1c of 8.6% whilst 61.1% of the patients had HbA1c greater than 8%. Glycaemic control in patients with type 2 diabetes varied between various centres and ethnic groups, with the best control obtained in Chinese patients. Significant predictors of HbA1c in both type 1 and type 2 diabetes include access to nurse educators, ethnic background and WHR. In type 2 diabetes, use of insulin was a significant predictor, while in type 1 diabetes, household income was a significant predictor. Socioeconomic status did not have a significant effect in type 2 diabetes. There were no significant differences in the glycaemic control in patients with different educational status. In conclusion, glycaemic control in big hospitals in Malaysia was poor, and was closely related to the availability of diabetes care facilities and ethnic group, rather than socioeconomic status.
    Matched MeSH terms: Diabetes Mellitus, Type 1/epidemiology*; Diabetes Mellitus, Type 1/therapy*
  19. Khunti K, Cigrovski Berković M, Ludvik B, Moberg E, Barner Lekdorf J, Gydesen H, et al.
    Diabet Med, 2018 May 05.
    PMID: 29729048 DOI: 10.1111/dme.13662
    AIM: To determine participant knowledge and reporting of hypoglycaemia in the non-interventional Hypoglycaemia Assessment Tool (HAT) study.

    METHODS: HAT was conducted in 24 countries over a 6-month retrospective/4-week prospective period in 27 585 adults with Type 1 or insulin-treated Type 2 diabetes mellitus. Participants recorded whether hypoglycaemia was based on blood glucose levels, symptoms or both.

    RESULTS: Hypoglycaemia rates were consistently higher in the prospective compared with the retrospective period. Most respondents (96.8% Type 1 diabetes; 85.6% Type 2 diabetes) knew the American Diabetes Association/European Association for the Study of Diabetes hypoglycaemia definition, but there were regional differences in the use of blood glucose measurements and/or symptoms to define events. Confirmed symptomatic hypoglycaemia rates were highest in Northern Europe/Canada for Type 1 diabetes (63.9 events/year) and in Eastern Europe for Type 2 diabetes (19.4 events/year), and lowest in South East Asia (Type 1 diabetes: 6.0 events/year; Type 2 diabetes: 3.2 events/year). Unconfirmed symptomatic hypoglycaemia rates were highest in Eastern Europe for Type 1 diabetes (5.6 events/year) and South East Asia for Type 2 diabetes (4.7 events/year), and lowest for both in Russia (Type 1 diabetes: 2.1 events/year; Type 2 diabetes: 0.4 events/year). Participants in Latin America reported the highest rates of severe hypoglycaemia (Type 1 diabetes: 10.8 events/year; Type 2 diabetes 3.7 events/year) and severe hypoglycaemia requiring hospitalization (Type 1 diabetes: 0.56 events/year; Type 2 diabetes: 0.44 events/year). The lowest rates of severe hypoglycaemia were reported in South East Asia (Type 1 diabetes: 2.0 events/year) and Northern Europe/Canada (Type 2 diabetes: 1.3 events/year), and the lowest rates of severe hypoglycaemia requiring hospitalization were in Russia (Type 1 diabetes: 0.15 events/year; Type 2 diabetes: 0.09 events/year). The blood glucose cut-off used to define hypoglycaemia varied between regions (Type 1 diabetes: 3.1-3.6 mmol/l; Type 2 diabetes: 3.5-3.8 mmol/l).

    CONCLUSIONS: Under-reporting of hypoglycaemia rates in retrospective recall and regional variations in participant definitions of hypoglycaemia may contribute to the global differences in reported rates. Discrepancies between participant definitions and guidelines may highlight a need to redefine hypoglycaemia criteria. (Clinical Trials Registry No: NCT01696266).
    Matched MeSH terms: Diabetes Mellitus, Type 1
  20. Citation: Practical Guide to Diabetes Management in Ramadan. Putrajaya: Ministry of Health, Malaysia; 2015
    Quick Reference: http://mems.my/file_dir/24880590558779a6c3ec5.pdf
    Patient Booklet: http://mems.my/file_dir/463954726558779cb02a9b.pdf
    Training Manual: http://mems.my/file_dir/1926647736558779dfc39e8.pdf

    Keywords: CPG
    Matched MeSH terms: Diabetes Mellitus, Type 1
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