Displaying publications 1 - 20 of 95 in total

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  1. Tong WT, Vethakkan SR, Ng CJ
    BMJ Open, 2015 Jan 29;5(1):e006407.
    PMID: 25633285 DOI: 10.1136/bmjopen-2014-006407
    OBJECTIVE: To explore factors influencing poor glycaemic control in people with type 2 diabetes using insulin.
    RESEARCH DESIGN: A qualitative method comprising in-depth individual interviews. A semistructured interview guide was used. The interviews were audiorecorded, transcribed verbatim and analysed using a thematic approach.
    PARTICIPANTS: Seventeen people with type 2 diabetes using insulin with glycated haemoglobin (HbA1c) ≥9% for >1 year.
    SETTING: The Primary Care Clinic and Diabetes Clinic in the University of Malaya Medical Centre (UMMC), Malaysia.
    RESULTS: Data analysis uncovered four themes: lifestyle challenges in adhering to medical recommendations; psychosocial and emotional hurdles; treatment-related factors; lack of knowledge about and self-efficacy in diabetes self-care.
    CONCLUSIONS: Factors that explain the poor glycaemic control in people with type 2 diabetes using insulin were identified. Healthcare providers could use these findings to address patients' concerns during consultations and help to improve glycaemic control.
    Study site: Primary Care Clinic and Diabetes Clinic, University Malaya Medical Centre (UMMC), Kuala Lumpur, Malaysia
    Matched MeSH terms: Hemoglobin A, Glycosylated/analysis
  2. Mikhael EM, Hussain SA, Shawky N, Hassali MA
    BMJ Open Diabetes Res Care, 2019;7(1):e000658.
    PMID: 31354953 DOI: 10.1136/bmjdrc-2019-000658
    Background: Medication non-adherence is a common problem among patients with diabetes. Patient-reported medication adherence scales are the most commonly used method to assess patient medication adherence, but up to today there is no specific tool for assessing medication adherence among patients with diabetes in Arab countries. This study aimed to develop and validate a new tool for assessment of adherence to antidiabetic medications among Iraqi patients with diabetes.

    Methods: The Iraqi Anti-Diabetic Medication Adherence Scale (IADMAS) consists of eight items. The face and content validity of the IADMAS were established via an expert panel. For convergent validity, the IADMAS was compared with the Medication Adherence Questionnaire (MAQ). For concurrent validity, the IADMAS was compared with glycosylated hemoglobin. A total of 84 patients with types 2 diabetes were recruited from a diabetes center in Baghdad, Iraq. Test-retest reliability was measured by readministering the IADMAS to the same patients 4 weeks later.

    Results: Only 80 patients completed the study (response rate: 95%). Reliability analysis of the IADMAS showed a Cronbach's alpha value of 0.712, whereas that of the MAQ was 0.649. All items in the IADMAS showed no significant difference in the test-retest analysis, indicating that the IADMAS has stable reliability. There was no difference in the psychometric properties of the IADMAS and the MAQ. The sensitivity and specificity of the IADMAS were higher than that of the MAQ (100% vs 87.5% and 33.9% vs 29.7%, respectively).

    Conclusion: The IADMAS developed in this study is a reliable and valid instrument for assessing antidiabetic medication adherence among Iraqi patients.

    Matched MeSH terms: Hemoglobin A, Glycosylated/analysis
  3. Ismail M, Teng CL, Teng CL, Omar M, Ho BK, Kusiar Z, et al.
    Singapore Med J, 2013 Jul;54(7):391-5.
    PMID: 23900469
    INTRODUCTION: Self-monitoring of blood glucose (SMBG) has been underutilised. We conducted an open-label, randomised controlled trial to assess the feasibility of introducing SMBG in primary care clinics in Malaysia.

    METHODS: This was an open-label, randomised controlled trial conducted in five public primary care clinics in Malaysia. Patients with type 2 diabetes mellitus (age range 35-65 years) not performing SMBG at the time of the study were randomised to receive either a glucometer for SMBG or usual care. Both groups of patients received similar diabetes care from the clinics.

    RESULTS: A total of 105 patients with type 2 diabetes mellitus were enrolled. Of these, 58 and 47 were randomised to intervention and control groups, respectively. After six months, the glycated haemoglobin (HbA1c) level in the intervention group showed a statistically significant improvement of 1.3% (p = 0.001; 95% confidence interval 0.6-2.0), relative to the control group that underwent usual care. The percentages of patients that reached the HbA1c treatment target of ≤ 7% were 14.0% and 32.1% in the control and intervention groups (p = 0.036), respectively.

    CONCLUSION: The usage of a glucometer improved glycaemic control, possibly due to the encouragement of greater self-care in the intervention group.
    Matched MeSH terms: Hemoglobin A, Glycosylated/analysis
  4. Chan WK, Tan AT, Vethakkan SR, Tah PC, Vijayananthan A, Goh KL
    Clin Res Hepatol Gastroenterol, 2014 Jun;38(3):284-91.
    PMID: 24736032 DOI: 10.1016/j.clinre.2014.02.009
    BACKGROUND: Non-alcoholic fatty liver disease (NAFLD) and cardiovascular diseases are both common among patients with diabetes mellitus.
    OBJECTIVE: The aim of this study is to determine if ultrasonography-diagnosed NAFLD is associated with prevalent ischemic heart disease (IHD) among patients with diabetes mellitus.
    METHODS: This is a cross-sectional study on consecutive patients seen at the Diabetic Clinic, University of Malaya Medical Centre. The medical record for each patient was reviewed for documented IHD. Patients without documented IHD but had symptoms and/or electrocardiographic changes suggestive of IHD were referred for cardiac evaluation.
    RESULTS: Data for 399 patients were analyzed. Mean age was 62.8±10.5 years with 43.1% male. NAFLD and IHD were present in 49.6 and 26.6%, respectively. The prevalence of IHD among patients with and without NAFLD was 24.7 and 28.4%, respectively (P=0.414). The prevalence of IHD was highest among the Indians (34.1%) followed by the Malays (29.2%) and the Chinese (20.1%). No association was found between NAFLD and IHD when analyzed according to ethnicity. On multivariate analysis, independent factors associated with IHD were older age, lower levels of physical activity, greater waist circumference and higher serum glycated hemoglobin level.
    CONCLUSIONS: Ultrasonography-diagnosed NAFLD was not associated with prevalent IHD among patients with diabetes mellitus in a multiracial Asian hospital clinic population.

    Study site: Diabetic clinc, University Malaya Medical Centre (UMMC)
    Matched MeSH terms: Hemoglobin A, Glycosylated/analysis
  5. Ahmad B, Md Zain AZ, Fatt QK
    Diabetes Metab Syndr, 2017 Dec;11 Suppl 2:S901-S906.
    PMID: 28709852 DOI: 10.1016/j.dsx.2017.07.013
    The aim of the study is to determine the impact of diabetes education on patients' glycaemic control. A prospective 18-month intervention study was conducted at four ambulatory diabetes centres. Poorly controlled type 2 diabetes patients attended an hour of structured diabetes education at their respective diabetes centres. A month post-intervention patients were contacted through telephone and followed up for 18 months. Anthropometric measurements and socio-demographic details were collected during the first visit. HbA1C blood test for each patient was taken at beginning and end of study. Patients' diabetes knowledge showed 80% obtained Excellent or Very Good score. The Telephone Contact (TC) retention rate was 75.52% at 18 months. There was a significant improvement (p=0.001) in patients' glycaemic control with a reduction in HbA1C of ≥1% from baseline. Diabetes education intervention contributed positively to significant glycaemic improvement and should be embedded within a structured diabetes care delivery system.
    Matched MeSH terms: Hemoglobin A, Glycosylated/analysis
  6. Eppens MC, Craig ME, Jones TW, Silink M, Ong S, Ping YJ, et al.
    Curr Med Res Opin, 2006 May;22(5):1013-20.
    PMID: 16709323 DOI: 10.1185/030079906X104795
    OBJECTIVE: To describe the glycaemic control, diabetes care and prevalence of complications in youth with type 2 diabetes from the Western Pacific Region.
    RESEARCH DESIGN AND METHODS: Cross-sectional, clinic-based audit of 331 patients aged < 18 years from 56 centres in Australia, China-Beijing, China-Shanghai, China-Hong Kong, Indonesia, Japan, South Korea, Malaysia, Philippines, Singapore, Taiwan and Thailand. Clinical and management data were recorded along with glycated haemoglobin (HbA(1c)), lipids and complication rates.
    MAIN OUTCOME MEASURES: Glycaemic control, complications, diabetes management.
    RESULTS: Median age was 14.9 years (interquartile range 13.2-16.4 years) and median diabetes duration 2.3 years (1.4-3.6 years). Median HbA(1c) was 7% (5.9-9.9%) and HbA(1c) was > 7.5% in 40% of patients. In multiple regression analysis, glycaemic control varied significantly between countries (p = 0.02); higher HbA(1c) was associated with fewer home blood glucose measurements (p = 0.005) and higher insulin dose/kg (p < 0.0001). Blood glucose monitoring was performed by 65% of patients (range 33-96% by country). In 25% of patients, management consisted of diet alone or no treatment (range 0-53% by country); oral anti-diabetic drugs alone were used in 49%, insulin alone in 11% and both in 15%. Microalbuminuria was found in 8% and hypertension in 24%. The risk of hypertension increased with higher BMI (OR 1.16, 95% CI 1.09-1.24, p < 0.0001); antihypertensive agents were used in 4% of patients.
    CONCLUSIONS: The management of type 2 diabetes in youth from the Western Pacific Region varies widely. Hypertension and microalbuminuria were frequent, but not commonly treated. Further investigation into the natural history and risk factors for complications in youth with type 2 diabetes is required to assist in developing evidence based management guidelines.
    Matched MeSH terms: Hemoglobin A, Glycosylated/analysis
  7. Chuang LM, Tsai ST, Huang BY, Tai TY, Diabcare-Asia 1998 Study Group
    Diabet Med, 2002 Dec;19(12):978-85.
    PMID: 12647837 DOI: 10.1046/j.1464-5491.2002.00833.x
    AIMS: To establish the status of diabetes control in Asia, the Diabcare-Asia 198 study collected data from 230 diabetes centres in Bangladesh, People's Republic of China, India, Indonesia, Malaysia, Philippines, Singapore, South Korea, Sri Lanka, Taiwan, Thailand and Vietnam from March to December 1998.

    METHODS: Data were obtained either by patient interview during the enrolment visit or by reviewing medical records for the most recent laboratory assessment and clinical examinations. Blood samples were also collected during patients'. visits for central assessments of HbA1c (normal range 4.7-6.4%).

    RESULTS: The mean of centrally measured HbA1c was 8.6 +/- 2.0% for 18 211 patients (82% of the analysis population). Of the patients with central HbA1c measurements, the majority (55%) had values exceeding 8%, indicative of poor glycaemic control. The prevalence of retinopathy, microalbuminuria and neuropathy was also higher in the group of patients with higher HbA1c. Based on the findings from central HbA1c measurements and reported local HbA1c assessments, it also appears that more patients with poor glycaemic control did not have access to glycated haemoglobin measurements. Mean HbA1c of thediabetic populations in Bangladesh, Indonesia, Korea, Malaysia and Taiwan were significantly lower (all P = 0.0001, except P = 0.0007 for Malaysia), while that of China, India, Philippines and Vietnam was significantly higher (all P = 0.0001) than the grand mean.

    CONCLUSIONS: In our study population of the Asian diabetes patients treated at diabetes centres, more than half were not well controlled. The prevalence of diabetic microvascular complications was higher in the group of patients with higher HbA1c. Further therapeutic actions to improve glycaemic control are required to prevent chronic diabetic complications.
    Matched MeSH terms: Hemoglobin A, Glycosylated/analysis
  8. Lee SWH, Ng KY, Chin WK
    Sleep Med Rev, 2017 02;31:91-101.
    PMID: 26944909 DOI: 10.1016/j.smrv.2016.02.001
    Recent epidemiological studies have suggested that there is an association between glycemic control and sleep disturbances in patients with type 2 diabetes, but the extent is unclear. A systematic literature search was performed in nine electronic databases from inception until August 2015 without any language restriction. The search identified 20 studies (eight studies reporting duration of sleep and 15 studies evaluating sleep quality), and 15 were included in the meta-analysis. Short and long sleep durations were associated with an increased hemoglobin A1c (HbA1c) (weighted mean difference (WMD): 0.23% [0.10-0.36], short sleep; WMD: 0.13% [0.02-0.25], long sleep) compared to normal sleep, suggesting a U-shaped dose-response relationship. Similarly, poor sleep quality was associated with an increased HbA1c (WMD: 0.35% [0.12-0.58]). Results of this study suggest that amount of sleep as well as quality of sleep is important in the metabolic function of type 2 diabetes patients. Further studies are needed to identify for the potential causal role between sleep and altered glucose metabolism.
    Matched MeSH terms: Hemoglobin A, Glycosylated/analysis
  9. Hammad MA, Syed Sulaiman SA, Abubakar U, Mohamed Noor DA
    Diabetes Metab Syndr, 2019 01 16;13(2):1035-1040.
    PMID: 31336440 DOI: 10.1016/j.dsx.2019.01.001
    AIMS: The study intended to investigate the impact of controlled glycemia on morbidity and estimated 10-year survival (ES-10Y).

    METHODS: A cross-sectional investigation was conducted at General Penang Hospital, Malaysia. Demographic criteria and laboratory tests of patients were investigated. Controlled glycemia (CG) was recognized as glycated hemoglobin (HbA1c) ≤7% depending on American Diabetes Association guidelines 2018. Charlson Comorbidity Index (CCI) was used to estimate the confounding influence of co-morbidities and predict ES-10Y. Data was managed by IBM-SPSS 23.0.

    RESULTS: A total of 400 cases categorized to (44.25%) patients with CG, and (55.75%) cases had uncontrolled glycemia (UCG). HbA1c mean in CG and UCG group was (6.8 ± 0.9 vs 9.5 ± 1.6, P-value: 0.001). Fasting blood glucose was (7 ± 2.3 vs. 9.9 ± 4.3, P-value: 0.001) in CG and UCG group. CCI was (3.38 ± 2.38 vs. 4.42 ± 2.70, P-value: 0.001) and, ES-10Y was (62% vs 46.2%, p-value: 0.001) in CG vs. UCG respectively. Spearman test indicates a negative correlation between CG and CCI (r: 0.19, p-value: 0.001). Logistic regression confirmed HbA1c as a significant predictor of CCI (r2: 0.036, P-value: 0.001). CG has a positive correlation with survival (r: 0.16, P-value: 0.001) and logistic regression of survival (r2: 0.26, P-value: 0.001).

    CONCLUSIONS: More than one-half of the investigated persons had UCG. Controlled HbA1c was associated with lower co-morbidities and higher ES-10Y.

    Matched MeSH terms: Hemoglobin A, Glycosylated/analysis
  10. Munsour EE, Awaisu A, Hassali MAA, Abdoun E, Dabbous Z, Zahran N, et al.
    Int J Clin Pract, 2020 Aug;74(8):e13527.
    PMID: 32386077 DOI: 10.1111/ijcp.13527
    INTRODUCTION: In patients with diabetes, better health communication is associated with better health outcomes including medication adherence and glycaemic control. The conventional patient information leaflet does not consider the cultural and behavioral perspectives of diverse patient populations. Consumer medicine information (CMI) is a written information about the prescription drugs developed by organisations or individuals other than a drug manufacturer that is intended for distribution to consumers at the time of medication dispensing.

    OBJECTIVE: This study aimed to evaluate the impact of CMI on medication adherence and glycaemic control among patients with type 2 diabetes in Qatar.

    METHODS: We developed and customised CMI for all the anti-diabetic medications used in Qatar. A randomised controlled trial in which the intervention group patients (n = 66) received the customised CMI with usual care, while the control group patients (n = 74) received usual care only, was conducted. Self-reported medication adherence and haemoglobin A1c (HbA1c ) were the primary outcome measures. Glycaemic control and medication adherence parameters were measured at baseline, 3 months, and 6 months in both groups. Medication adherence was measured using the 8-item Morisky Medication Adherence Scale (MMAS-8).

    RESULTS: Although the addition of CMI resulted in better glycaemic control, this did not reach statistical significance, possibly because of the short-term follow-up. The median MMAS-8 score improved from baseline (6.6 [IQR = 1.5]) to 6-month follow-up (7.0 [IQR = 1.00]) in the intervention group. In addition, there was a statistically significant difference between the intervention and the control groups in terms of MMAS-8 score at the third visit (7.0 [IQR = 1.0]) vs 6.5 (IQR = 1.25; P-value = .010).

    CONCLUSION: CMI for anti-diabetic medications when added to usual care has the potential to improve medication adherence and glycaemic control among patients with type 2 diabetes. Therefore, providing better health communication and CMI to patients with diabetes is recommended.

    Matched MeSH terms: Hemoglobin A, Glycosylated/analysis
  11. Lee SF, Teh XR, Malar LS, Ong SL, James RP
    Int J Pharm Pract, 2018 Oct;26(5):442-449.
    PMID: 29193388 DOI: 10.1111/ijpp.12413
    OBJECTIVES: Despite the availability of a wide selection of anti-diabetic treatments, many type 2 DM (T2DM) patients still do not have controlled glucose levels. In addition to pharmacological intervention, patients' own implicit beliefs about their illness should be targeted for health intervention. Thus, we conducted a quantitative study to evaluate the associations between illness perception (IP) domains and metabolic control (HbA1c) of T2DM patients in Selama Hospital and to identify patients' perceptions of the causal T2DM factors.
    METHOD: A cross-sectional study was conducted in the outpatient department of Selama Hospital from October to December 2015. A total of 200 T2DM patients were recruited using systematic random sampling. A self-administered validated questionnaire consisting of three sections was used, and the data were analysed using SPSS version 18. The associations between eight IP domains and HbA1c were evaluated via multiple linear regression. P values <0.05 were considered significant.
    KEY FINDINGS: The analysis included data from 200 respondents with a mean age of 57.7 years (SE = 9.8). The majority were women (64.5%) and Malays (86%) with a primary school education (43.5%) and a family history of diabetes (53.5%). The median duration of illness was 5 years (IQR = 7), and the median HbA1c level was 8.15% (IQR = 3.1). The mean score for the eight IP domains was 33.7 (SE = 8.43) out of a total score of 80. Using multiple linear regression, HbA1c was found to be significantly associated with IP domains of identity symptoms at 0.221 (95% CI 0.083-0.358). Moreover, 79.4% of patients ranked diet and eating behaviour as the main factor for T2DM.
    CONCLUSION: The IP domain of identity symptoms was significantly correlated with T2DM metabolic control. By understanding patients' IP, healthcare providers can focus on behavioural approaches to managing T2DM patients. Steps must be taken to educate patients about the importance of diet control in managing T2DM.
    Study site: Outpatient clinic, Selama Hospital, Perak, Malaysia
    Matched MeSH terms: Hemoglobin A, Glycosylated/analysis*
  12. Lee JY, Wong CP, Tan CSS, Nasir NH, Lee SWH
    Sci Rep, 2017 08 31;7(1):10119.
    PMID: 28860546 DOI: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC55790
    We determined the impact of a remote blood glucose telemonitoring program with feedback in type 2 diabetes mellitus patients fasting during Ramadan compared to conventional self-monitoring method. A twelve-week cluster randomised study, with 85 participants who wish to fast for at least 15 days during Ramadan was conducted. Self-measurement and transmission of blood glucose results were performed six times daily during Ramadan. Results were transmitted to a secure website for review with feedback from case manager if necessary. The control group received usual care. The main outcome was the number of participants experiencing hypoglycaemia during Ramadan and at the end of the study. During Ramadan, the number of participants reporting hypoglycaemia was significantly lower in the telemonitoring group [Odds ratio (OR): 0.186, 95% confidence interval: 0.04-0.936; p = 0.04]. Similarly, the proportion of participants reporting symptomatic hypoglycaemia at the end of the study was significantly lower in the telemonitoring group (OR: 0.257, 95% CI: 0.07-0.89; p = 0.03). A reduction of 1.07% in glycated haemoglobin levels was observed in the telemonitoring group compared to 0.24% in the control group (p 
    Matched MeSH terms: Hemoglobin A, Glycosylated/analysis
  13. Lee JY, Chan CKY, Chua SS, Ng CJ, Paraidathathu T, Lee KKC, et al.
    J Gen Intern Med, 2020 Jan;35(1):87-94.
    PMID: 31512187 DOI: 10.1007/s11606-019-05316-9
    BACKGROUND: Connected devices that allow people with diabetes to monitor their blood glucose levels remotely with data visualization have been shown to improve self-care behavior in diabetes management. However, their effectiveness and usability for a low-middle-income, racially diverse population are unknown.

    OBJECTIVE: This study aims to evaluate the effects of remote telemonitoring with team-based management on people with uncontrolled type 2 diabetes.

    DESIGN: This was a pragmatic 52-week cluster-randomized controlled study among 11 primary care government practices in Malaysia.

    PARTICIPANTS: People with type 2 diabetes aged 18 and above, who had hemoglobin A1c ≥ 7.5% but less than 11.0% within the past 3 months and resided in the state of Selangor.

    INTERVENTION: The intervention group received home gluco-telemonitors and transmitted glucose data to a care team who could adjust therapy accordingly. The team also facilitated self-management by supporting participants to improve medication adherence, and encourage healthier lifestyle and use of resources to reduce risk factors. Usual care group received routine healthcare service.

    MAIN MEASURE: The primary outcome was the change in HbA1c at 24 weeks and 52 weeks. Secondary outcomes included change in fasting plasma glucose, blood pressure, lipid levels, health-related quality of life, and diabetes self-efficacy.

    RESULTS: A total of 240 participants were recruited in this study. The telemonitoring group reported larger improvements in glycemic control compared with control at the end of study (week 24, - 0.05%; 95% CI - 0.10 to 0.00%) and at follow-up (week 52, - 0.03%; - 0.07 to 0.02%, p = 0.226). Similarly, no differences in other secondary outcomes were observed, including the number of adverse events and health-related quality of life.

    CONCLUSION: This study indicates that there is limited benefit of replacing telemedicine with the current practice of self-monitoring of blood glucose. Further innovative methods to improve patient engagement in diabetes care are needed.

    TRIAL REGISTRATION: ClinicalTrials.gov identifier: NCT02466880.

    Matched MeSH terms: Hemoglobin A, Glycosylated/analysis
  14. Moy FM, Ray A, Buckley BS, West HM
    Cochrane Database Syst Rev, 2017 Jun 11;6(6):CD009613.
    PMID: 28602020 DOI: 10.1002/14651858.CD009613.pub3
    BACKGROUND: Self-monitoring of blood glucose (SMBG) is recommended as a key component of the management plan for diabetes therapy during pregnancy. No existing systematic reviews consider the benefits/effectiveness of various techniques of blood glucose monitoring on maternal and infant outcomes among pregnant women with pre-existing diabetes. The effectiveness of the various monitoring techniques is unclear.

    OBJECTIVES: To compare techniques of blood glucose monitoring and their impact on maternal and infant outcomes among pregnant women with pre-existing diabetes.

    SEARCH METHODS: We searched the Cochrane Pregnancy and Childbirth Group's Trials Register (30 November 2016), searched reference lists of retrieved studies and contacted trial authors.

    SELECTION CRITERIA: Randomised controlled trials (RCTs) and quasi-RCTs comparing techniques of blood glucose monitoring including SMBG, continuous glucose monitoring (CGM) or clinic monitoring among pregnant women with pre-existing diabetes mellitus (type 1 or type 2). Trials investigating timing and frequency of monitoring were also included. RCTs using a cluster-randomised design were eligible for inclusion but none were identified.

    DATA COLLECTION AND ANALYSIS: Two review authors independently assessed study eligibility, extracted data and assessed the risk of bias of included studies. Data were checked for accuracy. The quality of the evidence was assessed using the GRADE approach.

    MAIN RESULTS: This review update includes at total of 10 trials (538) women (468 women with type 1 diabetes and 70 women with type 2 diabetes). The trials took place in Europe and the USA. Five of the 10 included studies were at moderate risk of bias, four studies were at low to moderate risk of bias, and one study was at high risk of bias. The trials are too small to show differences in important outcomes such as macrosomia, preterm birth, miscarriage or death of baby. Almost all the reported GRADE outcomes were assessed as being very low-quality evidence. This was due to design limitations in the studies, wide confidence intervals, small sample sizes, and few events. In addition, there was high heterogeneity for some outcomes.Various methods of glucose monitoring were compared in the trials. Neither pooled analyses nor individual trial analyses showed any clear advantages of one monitoring technique over another for primary and secondary outcomes. Many important outcomes were not reported.1. Self-monitoring versus standard care (two studies, 43 women): there was no clear difference for caesarean section (risk ratio (RR) 0.78, 95% confidence interval (CI) 0.40 to 1.49; one study, 28 women) or glycaemic control (both very low-quality), and not enough evidence to assess perinatal mortality and neonatal mortality and morbidity composite. Hypertensive disorders of pregnancy, large-for-gestational age, neurosensory disability, and preterm birth were not reported in either study.2. Self-monitoring versus hospitalisation (one study, 100 women): there was no clear difference for hypertensive disorders of pregnancy (pre-eclampsia and hypertension) (RR 4.26, 95% CI 0.52 to 35.16; very low-quality: RR 0.43, 95% CI 0.08 to 2.22; very low-quality). There was no clear difference in caesarean section or preterm birth less than 37 weeks' gestation (both very low quality), and the sample size was too small to assess perinatal mortality (very low-quality). Large-for-gestational age, mortality or morbidity composite, neurosensory disability and preterm birth less than 34 weeks were not reported.3. Pre-prandial versus post-prandial glucose monitoring (one study, 61 women): there was no clear difference between groups for caesarean section (RR 1.45, 95% CI 0.92 to 2.28; very low-quality), large-for-gestational age (RR 1.16, 95% CI 0.73 to 1.85; very low-quality) or glycaemic control (very low-quality). The results for hypertensive disorders of pregnancy: pre-eclampsia and perinatal mortality are not meaningful because these outcomes were too rare to show differences in a small sample (all very low-quality). The study did not report the outcomes mortality or morbidity composite, neurosensory disability or preterm birth.4. Automated telemedicine monitoring versus conventional system (three studies, 84 women): there was no clear difference for caesarean section (RR 0.96, 95% CI 0.62 to 1.48; one study, 32 women; very low-quality), and mortality or morbidity composite in the one study that reported these outcomes. There were no clear differences for glycaemic control (very low-quality). No studies reported hypertensive disorders of pregnancy, large-for-gestational age, perinatal mortality (stillbirth and neonatal mortality), neurosensory disability or preterm birth.5.CGM versus intermittent monitoring (two studies, 225 women): there was no clear difference for pre-eclampsia (RR 1.37, 95% CI 0.52 to 3.59; low-quality), caesarean section (average RR 1.00, 95% CI 0.65 to 1.54; I² = 62%; very low-quality) and large-for-gestational age (average RR 0.89, 95% CI 0.41 to 1.92; I² = 82%; very low-quality). Glycaemic control indicated by mean maternal HbA1c was lower for women in the continuous monitoring group (mean difference (MD) -0.60 %, 95% CI -0.91 to -0.29; one study, 71 women; moderate-quality). There was not enough evidence to assess perinatal mortality and there were no clear differences for preterm birth less than 37 weeks' gestation (low-quality). Mortality or morbidity composite, neurosensory disability and preterm birth less than 34 weeks were not reported.6. Constant CGM versus intermittent CGM (one study, 25 women): there was no clear difference between groups for caesarean section (RR 0.77, 95% CI 0.33 to 1.79; very low-quality), glycaemic control (mean blood glucose in the 3rd trimester) (MD -0.14 mmol/L, 95% CI -2.00 to 1.72; very low-quality) or preterm birth less than 37 weeks' gestation (RR 1.08, 95% CI 0.08 to 15.46; very low-quality). Other primary (hypertensive disorders of pregnancy, large-for-gestational age, perinatal mortality (stillbirth and neonatal mortality), mortality or morbidity composite, and neurosensory disability) or GRADE outcomes (preterm birth less than 34 weeks' gestation) were not reported.

    AUTHORS' CONCLUSIONS: This review found no evidence that any glucose monitoring technique is superior to any other technique among pregnant women with pre-existing type 1 or type 2 diabetes. The evidence base for the effectiveness of monitoring techniques is weak and additional evidence from large well-designed randomised trials is required to inform choices of glucose monitoring techniques.

    Matched MeSH terms: Hemoglobin A, Glycosylated/analysis
  15. Chan SP, Colagiuri S
    Diabetes Res Clin Pract, 2015 Oct;110(1):75-81.
    PMID: 26361859 DOI: 10.1016/j.diabres.2015.07.002
    AIMS: Sulfonylureas are well positioned in treating type 2 diabetes, after lifestyle modification and metformin. The sulfonylurea gliclazide was given preference over glibenclamide in older people with type 2 diabetes in the World Health Organization model list of essential medicines. Consequently, a systematic review and meta-analysis of randomized controlled trials of the efficacy and safety of gliclazide versus other oral insulinotropic agents (sulfonylureas, dipeptidyl peptidase-4 inhibitors, and glinides) was performed.

    METHODS: Two reviewers searched MEDLINE for studies of ≥12 weeks duration in adults with type 2 diabetes. The key search word was "gliclazide", filtered with "randomized controlled trial", "human" and "19+ years". Differences were explored in mean change in glycated hemoglobin (HbA(1c)) from baseline (primary outcome) and risk of hypoglycemia (secondary outcome) between gliclazide and other oral insulinotropic agents; and other sulfonylureas.

    RESULTS: Nine out of 181 references reported primary outcomes, of which 7 reported secondary outcomes. Gliclazide lowered HbA1c more than other oral insulinotropic agents, with a weighted mean difference of -0.11% (95%, CI -0.19 to -0.03%, P=0.008, I(2)=60%), though not more than other sulfonylureas (-0.12%; 95%, CI -0.25 to 0.01%, P=0.07, I(2)=77%). Risk of hypoglycemia with gliclazide was not different to other insulinotropic agents (RR 0.85; 95%, CI 0.66 to 1.09, P=0.20, I(2)=61%) but significantly lower than other sulfonylureas (RR 0.47; 95%, CI 0.27 to 0.79, P=0.004, I(2)=0%).

    CONCLUSION: Compared with other oral insulinotropic agents, gliclazide significantly reduced HbA1c with no difference regarding hypoglycemia risk. Compared with other sulfonylureas, HbA1c reduction with gliclazide was not significantly different, but hypoglycemia risk was significantly lower.

    Matched MeSH terms: Hemoglobin A, Glycosylated/analysis
  16. Ayadurai S, Sunderland VB, Tee LBG, Md Said SN, Hattingh HL
    J Diabetes, 2018 Dec;10(12):965-976.
    PMID: 29877609 DOI: 10.1111/1753-0407.12799
    BACKGROUND: Reviewing pharmacist diabetes intervention studies revealed a lack of structured process in providing diabetes care, leading to varied results from increased to minimal improvements. The aim of this study was to determine the effectiveness of the Simpler tool, a structured clinical guidelines tool, in the delivery of diabetes care. The primary outcome was significant improvement in HbA1c. Secondary outcomes were improved lipid profiles and blood pressure (BP).

    METHODS: A 6-month parallel multicenter two-arm, single-blind randomized controlled trial involving 14 pharmacists at seven primary care clinics was conducted in Johor, Malaysia. Pharmacists without prior specialized diabetes training were trained to use the tool. Patients were randomized within each center to either Simpler care (SC), receiving care from pharmacists who used the tool (n =55), or usual care (UC), receiving usual care and dispensing services (n = 69).

    RESULTS: Compared with UC, SC significantly reduced HbA1c (mean reduction 1.59% [95% confidence interval {CI} -2.2, -0.9] vs 0.25% [95% CI -0.62, 0.11], respectively; P ≤ 0.001), and significantly improved systolic BP (-6.28 mmHg [95% CI -10.5, 2.0] vs 0.26 mmHg [95% CI -3.74, 0.43], respectively; P = 0.005). A significantly higher proportion of patients in the SC than UC arm reached the Malaysian guideline treatment goals for HbA1c (14.3% vs 1.5%; P = 0.020), systolic BP (80% vs 42%; P = 0.001), and low-density lipoprotein cholesterol (60.5% vs 40.4%; P = 0.046).

    CONCLUSIONS: Using the Simpler tool facilitated the delivery of comprehensive evidence-based diabetes management and significantly improved clinical outcomes. The Simpler tool supported pharmacists in providing enhanced structured diabetes care.

    Matched MeSH terms: Hemoglobin A, Glycosylated/analysis*
  17. Mastura I, Mimi O, Piterman L, Teng CL, Wijesinha S
    Med J Malaysia, 2007 Jun;62(2):147-51.
    PMID: 18705449 MyJurnal
    The aims of this study were (i) to determine the prevalence of self-monitoring of blood glucose (SMBG) among Type 2 diabetes patients attending government health clinics and (ii) to ascertain the factors influencing SMBG. Five hundred and fifty-six Type 2 diabetes patients from two government health clinics in Selangor and Negeri Sembilan were interviewed using a structured questionnaire. The total subjects of the study were 556 patients. Eighty-five patients (15.3%) of patients; performed SMBG. However, 170 subjects were included in the statistical analysis, 85 patients who were not self-monitoring were randomly selected and was compared with 85 patients who were self-monitoring. Among those who performed SMBG, the majority (83.5%) monitored less than once per day and only 16.5% monitored at least once a day. One-third of patients adjusted their medications based on their SMBG results. The higher patient's level of education (p= 0.024, CI 1.29 - 35.3); the higher total family income (p= 0.041, CI 1.26 - 4.79); the longer duration of diabetes (p<0.01, CI 2.22 - 7.29); and treatment regime which includes insulin (p< 0.001, CI 2.05 -9.24) were significant predictors of SMBG practice. Although SMBG is recognised to be useful and effective in achieving diabetes control, this study has found that only a minority of patients with diabetes performed SMBG. Hence healthcare personnel must increase awareness on the importance of SMBG and strongly promote the practice among diabetic patients.
    Matched MeSH terms: Hemoglobin A, Glycosylated/analysis
  18. Zainordin NA, Eddy Warman NA, Mohamad AF, Abu Yazid FA, Ismail NH, Chen XW, et al.
    PLoS One, 2021;16(10):e0258507.
    PMID: 34644368 DOI: 10.1371/journal.pone.0258507
    INTRODUCTION: There is limited data on the effects of low carbohydrate diets on renal outcomes particularly in patients with underlying diabetic kidney disease. Therefore, this study determined the safety and effects of very low carbohydrate (VLCBD) in addition to low protein diet (LPD) on renal outcomes, anthropometric, metabolic and inflammatory parameters in patients with T2DM and underlying mild to moderate kidney disease (DKD).

    MATERIALS AND METHODS: This was an investigator-initiated, single-center, randomized, controlled, clinical trial in patients with T2DM and DKD, comparing 12-weeks of low carbohydrate diet (<20g daily intake) versus standard low protein (0.8g/kg/day) and low salt diet. Patients in the VLCBD group underwent 2-weekly monitoring including their 3-day food diaries. In addition, Dual-energy x-ray absorptiometry (DEXA) was performed to estimate body fat percentages.

    RESULTS: The study population (n = 30) had a median age of 57 years old and a BMI of 30.68kg/m2. Both groups showed similar total calorie intake, i.e. 739.33 (IQR288.48) vs 789.92 (IQR522.4) kcal, by the end of the study. The VLCBD group showed significantly lower daily carbohydrate intake 27 (IQR25) g vs 89.33 (IQR77.4) g, p<0.001, significantly higher protein intake per day 44.08 (IQR21.98) g vs 29.63 (IQR16.35) g, p<0.05 and no difference in in daily fat intake. Both groups showed no worsening of serum creatinine at study end, with consistent declines in HbA1c (1.3(1.1) vs 0.7(1.25) %) and fasting blood glucose (1.5(3.37) vs 1.3(5.7) mmol/L). The VLCBD group showed significant reductions in total daily insulin dose (39(22) vs 0 IU, p<0.001), increased LDL-C and HDL-C, decline in IL-6 levels; with contrasting results in the control group. This was associated with significant weight reduction (-4.0(3.9) vs 0.2(4.2) kg, p = <0.001) and improvements in body fat percentages. WC was significantly reduced in the VLCBD group, even after adjustments to age, HbA1c, weight and creatinine changes. Both dietary interventions were well received with no reported adverse events.

    CONCLUSION: This study demonstrated that dietary intervention of very low carbohydrate diet in patients with underlying diabetic kidney disease was safe and associated with significant improvements in glycemic control, anthropometric measurements including weight, abdominal adiposity and IL-6. Renal outcomes remained unchanged. These findings would strengthen the importance of this dietary intervention as part of the management of patients with diabetic kidney disease.

    Matched MeSH terms: Hemoglobin A, Glycosylated/analysis
  19. Rama Chandran S, A Vigersky R, Thomas A, Lim LL, Ratnasingam J, Tan A, et al.
    Diabetes Technol Ther, 2020 02;22(2):103-111.
    PMID: 31502876 DOI: 10.1089/dia.2019.0277
    Background:
    Complex changes of glycemia that occur in diabetes are not fully captured by any single measure. The Comprehensive Glucose Pentagon (CGP) measures multiple aspects of glycemia to generate the prognostic glycemic risk (PGR), which constitutes the relative risk of hypoglycemia combined with long-term complications. We compare the components of CGP and PGR across type 1 and type 2 diabetes.
    Methods:
    Participants: n = 60 type 1 and n = 100 type 2 who underwent continuous glucose monitoring (CGM). Mean glucose, coefficient of variation (%CV), intensity of hypoglycemia (INThypo), intensity of hyperglycemia (INThyper), time out-of-range (TOR <3.9 and >10 mmol/L), and PGR were calculated. PGR (median, interquartile ranges [IQR]) for diabetes types, and HbA1c classes were compared.
    Results:
    While HbA1c was lower in type 1 (type 1 vs. type 2: 8.0 ± 1.6 vs. 8.6 ± 1.7, P = 0.02), CGM-derived mean glucoses were similar across both groups (P > 0.05). TOR, %CV, INThypo, and INThyper were all higher in type 1 [type 1 vs. type 2: 665 (500, 863) vs. 535 (284, 823) min/day; 39% (33, 46) vs. 29% (24, 34); 905 (205, 2951) vs. 18 (0, 349) mg/dL × min2; 42,906 (23,482, 82,120) vs. 30,166 (10,276, 57,183) mg/dL × min2, respectively, all P 
    Matched MeSH terms: Hemoglobin A, Glycosylated/analysis*
  20. Mathiesen ER, Ali N, Alibegovic AC, Anastasiou E, Cypryk K, de Valk H, et al.
    Diabetes Care, 2021 09;44(9):2069-2077.
    PMID: 34330786 DOI: 10.2337/dc21-0472
    OBJECTIVE: To compare the risk of severe adverse pregnancy complications in women with preexisting diabetes.

    RESEARCH DESIGN AND METHODS: Multinational, prospective cohort study to assess the prevalence of newborns free from major congenital malformations or perinatal or neonatal death (primary end point) following treatment with insulin detemir (detemir) versus other basal insulins.

    RESULTS: Of 1,457 women included, 727 received detemir and 730 received other basal insulins. The prevalence of newborns free from major congenital malformations or perinatal or neonatal death was similar between detemir (97.0%) and other basal insulins (95.5%) (crude risk difference 0.015 [95% CI -0.01, 0.04]; adjusted risk difference -0.003 [95% CI -0.03, 0.03]). The crude prevalence of one or more congenital malformations (major plus minor) was 9.4% vs. 12.6%, with a similar risk difference before (-0.032 [95% CI -0.064, 0.000]) and after (-0.036 [95% CI -0.081, 0.009]) adjustment for confounders. Crude data showed lower maternal HbA1c during the first trimester (6.5% vs. 6.7% [48 vs. 50 mmol/mol]; estimated mean difference -0.181 [95% CI -0.300, -0.062]) and the second trimester (6.1% vs. 6.3% [43 vs. 45 mmol/mol]; -0.139 [95% CI -0.232, -0.046]) and a lower prevalence of major hypoglycemia (6.0% vs. 9.0%; risk difference -0.030 [95% CI -0.058, -0.002]), preeclampsia (6.4% vs. 10.0%; -0.036 [95% CI -0.064, -0.007]), and stillbirth (0.4% vs. 1.8%; -0.013 [95% CI -0.024, -0.002]) with detemir compared with other basal insulins. However, differences were not significant postadjustment.

    CONCLUSIONS: Insulin detemir was associated with a similar risk to other basal insulins of major congenital malformations, perinatal or neonatal death, hypoglycemia, preeclampsia, and stillbirth.

    Matched MeSH terms: Hemoglobin A, Glycosylated/analysis
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