Displaying publications 1 - 20 of 41 in total

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  1. Park SW, Bebakar WM, Hernandez PG, Macura S, Hersløv ML, de la Rosa R
    Diabet Med, 2017 02;34(2):174-179.
    PMID: 26773557 DOI: 10.1111/dme.13069
    AIMS: To compare the efficacy and safety of two titration algorithms for insulin degludec/insulin aspart (IDegAsp) administered once daily with metformin in participants with insulin-naïve Type 2 diabetes mellitus.

    METHODS: This open-label, parallel-group, 26-week, multicentre, treat-to-target trial, randomly allocated participants (1:1) to two titration arms. The Simple algorithm titrated IDegAsp twice weekly based on a single pre-breakfast self-monitored plasma glucose (SMPG) measurement. The Stepwise algorithm titrated IDegAsp once weekly based on the lowest of three consecutive pre-breakfast SMPG measurements. In both groups, IDegAsp once daily was titrated to pre-breakfast plasma glucose values of 4.0-5.0 mmol/l. Primary endpoint was change from baseline in HbA1c (%) after 26 weeks.

    RESULTS: Change in HbA1c at Week 26 was IDegAspSimple -14.6 mmol/mol (-1.3%) (to 52.4 mmol/mol; 6.9%) and IDegAspStepwise -11.9 mmol/mol (-1.1%) (to 54.7 mmol/mol; 7.2%). The estimated between-group treatment difference was -1.97 mmol/mol [95% confidence interval (CI) -4.1, 0.2] (-0.2%, 95% CI -0.4, 0.02), confirming the non-inferiority of IDegAspSimple to IDegAspStepwise (non-inferiority limit of ≤ 0.4%). Mean reduction in fasting plasma glucose and 8-point SMPG profiles were similar between groups. Rates of confirmed hypoglycaemia were lower for IDegAspStepwise [2.1 per patient years of exposure (PYE)] vs. IDegAspSimple (3.3 PYE) (estimated rate ratio IDegAspSimple /IDegAspStepwise 1.8; 95% CI 1.1, 2.9). Nocturnal hypoglycaemia rates were similar between groups. No severe hypoglycaemic events were reported.

    CONCLUSIONS: In participants with insulin-naïve Type 2 diabetes mellitus, the IDegAspSimple titration algorithm improved HbA1c levels as effectively as a Stepwise titration algorithm. Hypoglycaemia rates were lower in the Stepwise arm.

    Matched MeSH terms: Blood Glucose Self-Monitoring
  2. Deeb A, Elbarbary N, Smart CE, Beshyah SA, Habeb A, Kalra S, et al.
    Pediatr Diabetes, 2020 02;21(1):5-17.
    PMID: 31659852 DOI: 10.1111/pedi.12920
    Matched MeSH terms: Blood Glucose Self-Monitoring
  3. Ng D, Noor NM, Yong SL
    J ASEAN Fed Endocr Soc, 2019;34(1):29-35.
    PMID: 33442134 DOI: 10.15605/jafes.034.01.06
    Objectives: To determine the prevalence of hypoglycaemia using continuous glucose monitoring system (CGMS) among insulin-treated pregnant women with diabetes whose glycosylated haemoglobin (HbA1c) were <6.0% and identify the risk factors associated with hypoglycaemia occurrence.

    Methodology: We conducted a cross-sectional study using 6-days CGMS to detect the prevalence of hypoglycaemia in 31 insulin-treated pregnant women with diabetes who achieved HbA1c <6.0%. Patients were required to log-keep their self-monitoring blood glucose (SMBG) readings and hypoglycaemia events.

    Results: Eight women experienced confirmed hypoglycaemia with additional seven experienced relative hypoglycaemia, giving rise to prevalence rate of 45.2% (one had both confirmed and relative hypoglycaemia). Nine relative hypoglycaemia and 17 confirmed hypoglycaemic events were recorded. Sixteen (94%) out of 17 confirmed hypoglycaemia events recorded by CGMS were asymptomatic and were missed despite performing regular SMBG. Nocturnal hypoglycaemia events were recorded in seven women. Univariable analysis did not identify any association between conventional risk factors and hypoglycaemia events in our cohort.

    Conclusion: Insulin-treated pregnant women with diabetes who achieved HbA1c <6.0% were associated with high prevalence of hypoglycaemia. Asymptomatic hypoglycaemia is common in our cohort and frequently missed despite regular SMBG. Present study did not identify any association between conventional risk factors and hypoglycaemia events in our cohort.

    Matched MeSH terms: Blood Glucose Self-Monitoring
  4. 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: Blood Glucose Self-Monitoring*
  5. 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: Blood Glucose Self-Monitoring/methods*
  6. Paramasivam SS, Chinna K, Singh AKK, Ratnasingam J, Ibrahim L, Lim LL, et al.
    Diabet Med, 2018 08;35(8):1118-1129.
    PMID: 29663517 DOI: 10.1111/dme.13649
    AIMS: To determine if therapeutic, retrospective continuous glucose monitoring (CGM) improves HbA1c with less hypoglycaemia in women with insulin-treated gestational diabetes mellitus (GDM).

    METHODS: This prospective, randomized controlled, open-label trial evaluated 50 women with insulin-treated GDM randomized to either retrospective CGM (6-day sensor) at 28, 32 and 36 weeks' gestation (Group 1, CGM, n = 25) or usual antenatal care without CGM (Group 2, control, n = 25). All women performed seven-point capillary blood glucose (CBG) profiles at least 3 days per week and recorded hypoglycaemic events (symptomatic and asymptomatic CBG

    Matched MeSH terms: Blood Glucose Self-Monitoring/instrumentation; Blood Glucose Self-Monitoring/methods
  7. Kong APS, Lim S, Yoo SH, Ji L, Chen L, Bao Y, et al.
    Diabetes Res Clin Pract, 2023 Jul;201:110718.
    PMID: 37196707 DOI: 10.1016/j.diabres.2023.110718
    Glucose monitoring has evolved from self-monitoring of blood glucose to glycated hemoglobin, and the latest continuous glucose monitoring (CGM). A key challenge to adoption of CGM for management of diabetes in Asia is the lack of regional CGM recommendations. Hence, thirteen diabetes-specialists from eight Asia-Pacific (APAC) countries/regions convened to formulate evidence-based, APAC-specific CGM recommendations for individuals with diabetes. We defined CGM metrics/targets and developed 13 guiding-statements on use of CGM in: (1) people with diabetes on intensive insulin therapy, and (2) people with type 2 diabetes on basal insulin with/without glucose lowering drugs. Continual use of CGM is recommended in individuals with diabetes on intensive insulin therapy and suboptimal glycemic control, or at high risk of problematic hypoglycemia. Continual/intermittent CGM may also be considered in individuals with type 2 diabetes on basal insulin regimen and with suboptimal glycemic control. In this paper, we provided guidance for optimizing CGM in special populations/situations, including elderly, pregnancy, Ramadan-fasting, newly diagnosed type 1 diabetes, and comorbid renal disease. Statements on remote CGM, and stepwise interpretation of CGM data were also developed. Two Delphi surveys were conducted to rate the agreement on statements. The current APAC-specific CGM recommendations provide useful guidance for optimizing use of CGM in the region.
    Matched MeSH terms: Blood Glucose Self-Monitoring
  8. Kalra S, Czupryniak L, Kilov G, Lamptey R, Kumar A, Unnikrishnan AG, et al.
    Diabetes Ther, 2018 Dec;9(6):2185-2199.
    PMID: 30390228 DOI: 10.1007/s13300-018-0521-2
    Premixed insulins are an important tool for glycemic control in persons with diabetes. Equally important in diabetes care is the selection of the most appropriate insulin regimen for a particular individual at a specific time. Currently, the choice of insulin regimens for initiation or intensification of therapy is a subjective decision. In this article, we share insights, which will help in rational and objective selection of premixed formulations for initiation and intensification of insulin therapy. The glycemic status and its variations in a person help to identify the most appropriate insulin regimen and formulation for him or her. The evolution of objective glucometric indices has enabled better glycemic monitoring of individuals with diabetes. Management of diabetes has evolved from a 'glucocentric' approach to a 'patient-centered' approach; patient characteristics, needs, and preferences should be evaluated when considering premixed insulin for treatment of diabetes.Funding: Novo Nordisk, India.
    Matched MeSH terms: Blood Glucose Self-Monitoring
  9. Tan MY, Magarey JM, Chee SS, Lee LF, Tan MH
    Health Educ Res, 2011 Oct;26(5):896-907.
    PMID: 21715653 DOI: 10.1093/her/cyr047
    We assessed the effectiveness of a brief structured diabetes education programme based on the concept of self-efficacy on self-care and glycaemic control using single-blind study design. One hundred and sixty-four participants with poorly controlled diabetes from two settings were randomized using computer-generated list into control (n = 82) and intervention (n = 82) groups, of which 151 completed the study. Monthly interventions over 12 weeks addressed the self-care practices of diet, physical activity, medication adherence and self-monitoring of blood glucose (SMBG). These self-care practices were assessed at Weeks 0 and 12 using pre- and post-questionnaires in both groups together with glycated haemoglobin A1c (HbA1c) and diabetes knowledge. In the intention-to-treat analysis (n = 164), the intervention group improved their SMBG (P = <0.001), physical activity (P = 0.001), HbA1c (P = 0.03), diabetes knowledge (P = <0.001) and medication adherence. At Week 12, HbA1c difference adjusted for SMBG frequency, medication adherence and weight change remained significant (P = 0.03) compared with control group. For within group comparisons, diabetes knowledge (P = <0.001), HbA1c level (P = <0.001), SMBG (P = <0.001) and medication adherence (P = 0.008) improved from baseline in the intervention group. In the control group, only diabetes knowledge improved (P = <0.001). These findings can contribute to the development of self-management diabetes education in Malaysia.
    Matched MeSH terms: Blood Glucose Self-Monitoring
  10. Aneesa Abdul Rashid, Navin Kumar Devaraj, Zuhra Hamzah, Tan Chai Eng
    MyJurnal
    Introduction: Diabetic control depends partially on self-management. Diabetes self-care is reported to be a strong predictor of glycemic control in Type 2 Diabetes Mellitus (T2DM) patients. Factors contributing to better self-care include self-efficacy and social support. We aim to determine effects of these factors on glucose control in T2DM patients in a primary care clinic. Methods: This study utilised data from a bigger study looking into factors affecting social support and self-efficacy and their correlation in T2DM patients. This study was done among 329 T2DM pa- tients attending a primary care clinic in Selangor, Malaysia between November 2013- January 2014. Systematic ran- dom sampling was used. Instruments used were the MOS Social Support Survey and the Diabetic Management Self Efficacy Scale (DMSES). Patients’ socio-demographic data and glucose monitoring records were obtained. The asso- ciation between social support and self-efficacy with blood glucose control was determined using logistic regression. Results: The mean age of the respondents is 54.6 (+11.2), mostly female (55.3%) and Malay ethnicity (63.5%). Being older and retired were predictors for good glucose control (OR=1.05,p=0.01 and OR=2.2,p=0.023) respectively. There is also significant correlations between number of close friends/relatives with social support and self-efficacy (r=0.162,p=0.030 and r=0.190,p=0.01) respectively. The correlation of social support and self-efficacy with HbA1c levels are r= -0.044(p=0.426) and r= -0.08(p= 0.744) respectively. Conclusion: There were no correlations between social support and self-efficacy with the level of HbA1c among patients with T2DM in this study. We found older aged and retired patients to have better HbA1c levels.
    Matched MeSH terms: Blood Glucose Self-Monitoring
  11. Ashur ST, Shah SA, Bosseri S, Fah TS, Shamsuddin K
    Libyan J Med, 2016 Jan;11(1):31086.
    PMID: 28349838 DOI: 10.3402/ljm.v11.31086
    Background Achieving good glycaemic control is important in diabetes management. However, poor glycaemic control is widely reported. This article assessed the prevalence of uncontrolled and poor glycaemic control among Libyans with type 2 diabetes and examined the relative contribution of diabetes coping behaviours to their glycaemic control status. Methods A cross-sectional study was undertaken in 2013 in a large diabetes centre in Tripoli. The study included 523 respondents. Diabetes coping behaviours were measured using the revised version of the Summary of Diabetes Self-Care Activities measure (SDSCA) and the eight-item Morisky Medication Adherence Scale (MMAS-8(©)), while glycaemic control status was based on the HbA1c level. Results Mean HbA1c was 8.9 (±2.1), and of the 523 patients, only 114 (21.8%) attained the glycaemic control target of HbAc1 of less than 7.0%. Females (OR=1.74, 95% CI=1.03-2.91), patients on insulin and oral hypoglycaemic agents (OR=1.92, 95% CI=1.05-3.54), patients on insulin (OR=3.14, 95% CI=1.66-6.03), and low-medication adherents (OR=2.25, 95% CI=1.36-3.73) were more likely to have uncontrolled and poor glycaemic control, while exercise contributed to glycaemic control status as a protective factor (OR=0.85, 95% CI=0.77-0.94). Conclusion The findings from this study showed the considerable burden of uncontrolled and poor glycaemic control in one of the largest diabetes care settings in Libya. Medication adherence as well as exercise promotion programs would help in reducing the magnitude of poor glycaemic control.
    Matched MeSH terms: Blood Glucose Self-Monitoring
  12. 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: Blood Glucose Self-Monitoring
  13. 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: Blood Glucose Self-Monitoring
  14. Wong JS, Rahimah N
    Med J Malaysia, 2004 Aug;59(3):411-7.
    PMID: 15727390 MyJurnal
    Achieving glycaemic goals in diabetics has always been a problem, especially in a developing country with inadequate facilities such as in Sarawak in Malaysia. There are no reported studies on the control of diabetes mellitus in a diabetic clinic in the primary health care setting in Sarawak. This paper describes the profile of 1031 patients treated in Klinik Kesihatan Tanah Puteh Health Centre. The mean age was 59 years, the mean BMI 27 kg/m2. There was a female preponderance and mainly type-2 diabetes. Mean HbA1c was 7.4%. Glycaemic control was optimal in 28% (HbA1c <6.5%), fair in 34% (HbA1c 6.5-7.5%) and poor in 38% (HbA1c >7.5%). Reasonable glycaemic control can be achieved in the primary health care setting in Sarawak.
    Study site: Klinik Kesihatan Tanah Puteh, Sarawak, Malaysia
    Matched MeSH terms: Blood Glucose Self-Monitoring
  15. Elancheziyan M, Prakasham K, Eswaran M, Duraisamy M, Ganesan S, Lee SL, et al.
    Environ Res, 2023 Apr 15;223:115403.
    PMID: 36754108 DOI: 10.1016/j.envres.2023.115403
    The design and development of eco-friendly fabrication of cost-effective electrochemical nonenzymatic biosensors with enhanced sensitivity and selectivity are one of the emerging area in nanomaterial and analytical chemistry. In this aspect, we developed a facile fabrication of tertiary nanocomposite material based on cobalt and polymelamine/nitrogen-doped graphitic porous carbon nanohybrid composite (Co-PM-NDGPC/SPE) for the application as a nonenzymatic electrochemical sensor to quantify glucose in human blood samples. Co-PM-NDGPC/SPE nanocomposite electrode fabrication was achieved using a single-step electrodeposition method under cyclic voltammetry (CV) technique under 1 M NH4Cl solution at 20 constitutive CV cycles (sweep rate 20 mV/s). Notably, the fabricated nonenzymatic electroactive nanocomposite material exhibited excellent electrocatalytic sensing towards the quantification of glucose in 0.1 M NaOH over a wide concentration range from 0.03 to 1.071 mM with a sensitive limit of detection 7.8 μM. Moreover, the Co-PM-NDGPC nanocomposite electrode with low charge transfer resistance (Rct∼81 Ω) and high ionic diffusion indicates excellent stability, reproducibility, and high sensitivity. The fabricated nanocomposite materials exhibit a commendable sensing response toward glucose molecules present in the blood serum samples recommends its usage in real-time applications.
    Matched MeSH terms: Blood Glucose Self-Monitoring
  16. Craig ME, Jones TW, Silink M, Ping YJ
    J Diabetes Complications, 2007 Sep-Oct;21(5):280-7.
    PMID: 17825751 DOI: 10.1016/j.jdiacomp.2006.04.005
    AIMS: The incidence of type 1 diabetes is increasing in many parts of Asia, where resources may not enable targets for glycemic control to be achieved. The aims of this study were to describe glycemic control, diabetes care, and complications in youth with type 1 diabetes from the Western Pacific Region and to identify factors associated with glycemic control and hypoglycemia.
    METHODS: A cross-sectional clinic-based study on 2312 children and adolescents (aged <18 years; 45% males) from 96 pediatric diabetes centers in Australia, China, Hong Kong, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, and Thailand was conducted. Clinical and management details were recorded, and finger-pricked blood samples were obtained for central glycated hemoglobin (HbA(1c)).
    RESULTS: The median age of the patients was 12.5 years [interquartile range (IQR)=9.4-15.3 years]; diabetes duration, 4.4 years (IQR=2.5-7.2 years); and HbA(1c) level, 8.3% (IQR 7.4%-9.7%). Insulin treatment consisted of one or two daily injections in 61% of the patients (range=22%-90% by country), and home blood glucose monitoring (range=67%-100%) was practiced by 96%. HbA(1c) level was significantly associated with country, age, diabetes duration, sex, insulin dose per kilogram, insulin regimen, and frequency of home blood glucose measurement in multiple regression analysis. The incidence of severe hypoglycemia, defined as any episode requiring assistance in the previous 3 months, was 73 per 100 patient-years and was associated with country, male sex, higher HbA(1c) level, an insulin regimen with three or more injections, and more frequent home blood glucose testing. The incidence of diabetic ketoacidosis was 10 per 100 patient-years and was associated with country, higher HbA(1c) level, and higher insulin dose per kilogram.
    CONCLUSIONS: There is marked variability in glycemic control, hypoglycemia, complication rates, and diabetes care among children from the Western Pacific Region. Most are not achieving adequate glycemic control, placing them at high risk of microvascular complications.
    Matched MeSH terms: Blood Glucose Self-Monitoring
  17. Yunos MFAM, Manczak R, Guines C, Mansor AFM, Mak WC, Khan S, et al.
    Biosensors (Basel), 2021 Dec 03;11(12).
    PMID: 34940251 DOI: 10.3390/bios11120494
    Diabetes has become a major health problem in society. Invasive glucometers, although precise, only provide discrete measurements at specific times and are unsuitable for long-term monitoring due to the injuries caused on skin and the prohibitive cost of disposables. Remote, continuous, self-monitoring of blood sugar levels allows for active and better management of diabetics. In this work, we present a radio frequency (RF) sensor based on a stepped impedance resonator for remote blood glucose monitoring. When placed on top of a human hand, this RF interdigital sensor allows detection of variation in blood sugar levels by monitoring the changes in the dielectric constant of the material underneath. The designed stepped impedance resonator operates at 3.528 GHz with a Q factor of 1455. A microfluidic device structure that imitates the blood veins in the human hand was fabricated in PDMS to validate that the sensor can measure changes in glucose concentrations. To test the RF sensor, glucose solutions with concentrations ranging from 0 to 240 mg/dL were injected into the fluidic channels and placed underneath the RF sensor. The shifts in the resonance frequencies of the RF sensor were measured using a network analyzer via its S11 parameters. Based on the change in resonance frequencies, the sensitivity of the biosensor was found to be 264.2 kHz/mg·dL-1 and its LOD was calculated to be 29.89 mg/dL.
    Matched MeSH terms: Blood Glucose Self-Monitoring
  18. 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: Blood Glucose Self-Monitoring
  19. Muhammed Elamin S, Muhamad Arshad NF, Md Redzuan A, Abdul Aziz SA, Hong J, Chua XY, et al.
    BMJ Open, 2024 Apr 02;14(4):e079606.
    PMID: 38569693 DOI: 10.1136/bmjopen-2023-079606
    OBJECTIVE: The objective of this study is to explore the information needs related to insulin therapy in children and adolescents with type 1 diabetes mellitus (T1DM) from the children's perspectives as well as their caregivers.

    DESIGN: Qualitative study; semistructured interviews. To identify emerging themes relating to information needs, open coding and thematic analysis were employed.

    SETTING: Participants were recruited from a tertiary care children's hospital in Kuala Lumpur, Malaysia and a specialist hospital in Riyadh, Saudi Arabia.

    PARTICIPANTS: Thirty one children with a mean age of 11.5 years (SD=1.9) and their caregivers were interviewed. Seventeen participants were from Malaysia and 14 were from Saudi Arabia.

    RESULTS: Four themes of information emerged from the interviews, including information related to (1) hypoglycaemia and hyperglycaemia, (2) insulin therapy, (3) injection technique and (4) other information needs pertaining to continuous glucose monitoring, access to peer groups and future advances in insulin therapy.

    CONCLUSION: This study provided valuable insights into the information needs related to T1DM and insulin therapy among children and adolescents with T1DM that should be considered by stakeholders in the development of age-appropriate education materials. Such materials will assist children and adolescents to better manage their life-long T1DM condition from adolescence until adulthood.

    Matched MeSH terms: Blood Glucose Self-Monitoring
  20. Tan MY, Magarey J
    Patient Educ Couns, 2008 Aug;72(2):252-67.
    PMID: 18467068 DOI: 10.1016/j.pec.2008.03.017
    OBJECTIVE: To investigate the self-care practices of Malaysian adults with diabetes and sub-optimal glycaemic control.
    METHODS: Using a one-to-one interviewing approach, data were collected from 126 diabetic adults from four settings. A 75-item questionnaire was used to assess diabetes-related knowledge and self-care practices regarding, diet, medication, physical activity and self-monitoring of blood glucose (SMBG).
    RESULTS: Most subjects had received advice on the importance of self-care in the management of their diabetes and recognised its importance. Sixty-seven subjects (53%) scored below 50% in their diabetes-related knowledge. Subjects who consumed more meals per day (80%), or who did not include their regular sweetened food intakes in their daily meal plan (80%), or who were inactive in daily life (54%), had higher mean fasting blood glucose levels (p=0.04). Subjects with medication non-adherence (46%) also tended to have higher fasting blood glucose levels. Only 15% of the subjects practiced SMBG. Predictors of knowledge deficit and poor self-care were low level of education (p = <0.01), older subjects (p=0.04) and Type 2 diabetes subjects on oral anti-hyperglycaemic medication (p = <0.01).
    CONCLUSION: There were diabetes-related knowledge deficits and inadequate self-care practices among the majority of diabetic patients with sub-optimal glycaemic control.
    PRACTICE IMPLICATIONS: This study should contribute to the development of effective education strategies to promote health for adults with sub-optimal diabetes control.
    Matched MeSH terms: Blood Glucose Self-Monitoring
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