Displaying all 5 publications

Abstract:
Sort:
  1. Oktavian P, Kencono Wungu CD, Mudjanarko SW, Amin IM
    Diabetes Obes Metab, 2025 May;27(5):2658-2669.
    PMID: 39996365 DOI: 10.1111/dom.16268
    AIMS: This study aimed to summarize and compare the evidence on the efficacy and safety of automated insulin delivery (AID) systems using ultra-rapid-acting insulin analogues (URAIs), such as fast-acting insulin aspart (FIASP) and ultra-rapid lispro (URLi) (referred to as AID-URAIs), versus those using rapid-acting insulin analogues (RAIs) (referred to as AID-RAIs) in patients with type 1 diabetes (T1D).

    MATERIALS AND METHODS: We conducted a systematic review and meta-analysis of AID-URAI versus AID-RAI. We systematically searched PubMed, Scopus, ProQuest, Web of Science, Cochrane Library, Clinicaltrial.gov, and medRxiv for articles up to 30 October 2024. Percent time-in-range (TIR; 3.9-10 mmol/L), time-below-range (TBR; 3.9- and 3.0-mmol/L), and time-above-range (TAR; >10.0- and 13.9-mmol/L) were extracted. This study was registered in the PROSPERO (CRD42024602279).

    RESULTS: Sixteen randomized controlled trials (664 participants) were included in this study. AID-URAI were associated with an increased percentage of TIR, but not clinically significant (pooled mean difference {MD} = 1.07% [95% confidence interval {CI}: 0.11 to 2.02]; I2 = 0%; p = 0.029; high certainty). The favourable effect was consistent in AID systems incorporating automated bolus correction, adults, study duration >4 weeks, and FIASP subgroups. AID-URAI has a 0.35% lower percentage of TBR (<3.9 mmol/L) compared with AID-RAI. There were no significant differences in the risk of diabetic ketoacidosis and severe hypoglycemia between the two groups.

    CONCLUSIONS: AID-URAI slightly improves the percentage of TIR and has a good safety profile without increasing the risk of diabetic ketoacidosis and severe hypoglycemia.

    Matched MeSH terms: Insulin Infusion Systems*
  2. 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: Insulin Infusion Systems*
  3. Loh HH, Lim LL, Loh HS, Yee A
    J Diabetes Investig, 2019 Nov;10(6):1490-1501.
    PMID: 30938074 DOI: 10.1111/jdi.13054
    AIMS/INTRODUCTION: Although patients with type 1 diabetes are medically exempt, many insist on fasting during Ramadan. Multiple daily insulin injections (MDI), premixed insulin and continuous subcutaneous insulin infusion (CSII) are commonly used. To date, little is known about the safety of Ramadan fasting in these patients.

    MATERIALS AND METHODS: We pooled data from 17 observational studies involving 1,699 patients treated with either CSII or non-CSII (including premixed and MDI) regimen. The study outcomes were the frequencies of hypoglycemia, hyperglycemia and/or ketosis. Given the lack of patient-level data, separate analyses for premixed and MDI regimen were not carried out.

    RESULTS: The CSII-treated group (n = 203) was older (22.9 ± 6.9 vs 17.8 ± 4.0 years), and had longer diabetes duration (116.7 ± 66.5 vs 74.8 ± 59.2 months) and lower glycated hemoglobin (7.8 ± 1.1% vs 9.1 ± 2.0%) at baseline than the non-CSII-treated group (n = 1,496). The non-CSII-treated group had less non-severe hypoglycemia than the CSII-treated group (22%, 95% CI 13-34 vs 35%, 95% CI 17-55). Of the non-CSII-treated group, 7.1% (95% CI 5.8-8.5) developed severe hypoglycemia, but none from the CSII-treated group did. The non-CSII-treated group was more likely to develop hyperglycemia (12%, 95% CI 3-25 vs 8.8%, 95% CI 0-31) and ketosis (2.5%, 95% CI 1.0-4.6 vs 1.6%, 95% CI 0.1-4.7), and discontinue fasting (55%, 95% CI 34-76 vs 31%, 95% CI 9-60) than the CSII-treated group.

    CONCLUSIONS: The CSII regimen had lower rates of severe hypoglycemia and hyperglycemia/ketosis, but a higher rate of non-severe hyperglycemia than premixed/MDI regimens. These suggest that appropriate patient selection with regular, supervised fine-tuning of the basal insulin rate with intensive glucose monitoring might mitigate the residual hypoglycemia risk during Ramadan.

    Matched MeSH terms: Insulin Infusion Systems
  4. Zhao YF, Chaw JK, Ang MC, Tew Y, Shi XY, Liu L, et al.
    PLoS One, 2025;20(1):e0317662.
    PMID: 39869550 DOI: 10.1371/journal.pone.0317662
    Patients with type 1 diabetes and their physicians have long desired a fully closed-loop artificial pancreas (AP) system that can alleviate the burden of blood glucose regulation. Although deep reinforcement learning (DRL) methods theoretically enable adaptive insulin dosing control, they face numerous challenges, including safety and training efficiency, which have hindered their clinical application. This paper proposes a safe and efficient adaptive insulin delivery controller based on DRL. It employed ten tricks to enhance the proximal policy optimization (PPO) algorithm, improving training efficiency. Additionally, a dual safety mechanism of 'proactive guidance + reactive correction' was introduced to reduce the risks of hyperglycemia and hypoglycemia and to prevent emergencies. Performance evaluations in the Simglucose simulator demonstrate that the proposed controller achieved an 87.45% time in range (TIR) median, superior to baseline methods, with a lower incidence of hypoglycemia, notably eliminating severe hypoglycemia and treatment failures. These encouraging results indicate that the DRL-based fully closed-loop AP controller has taken an essential step toward clinical implementation.
    Matched MeSH terms: Insulin Infusion Systems
  5. Scott EM, Bilous RW, Kautzky-Willer A
    Diabetes Technol Ther, 2018 03;20(3):180-188.
    PMID: 29470094 DOI: 10.1089/dia.2017.0386
    BACKGROUND: Accuracy of the FreeStyle Libre™ Flash Glucose Monitoring System has not been evaluated in pregnant women with diabetes. The aim of this study was to determine accuracy (compared to self-monitoring of blood glucose [SMBG]), clinical safety, and acceptability of the FreeStyle Libre System when used at home by this population.

    MATERIALS AND METHODS: Seventy-four participants, with type 1 (T1D, n = 24), type 2 (T2D, n = 11), or gestational (n = 39) diabetes, were enrolled across 13 sites (9 in United Kingdom, 4 in Austria). Average gestation was 26.6 ± 6.8 weeks (mean ± standard deviation), age was 30.5 ± 5.1 years, diabetes duration was 13.1 ± 7.3 years for T1D and 3.2 ± 2.5 years for T2D, and 49/74 (66.2%) used insulin to manage their diabetes. Sensors were worn for up to 14 days. Sensor glucose values (masked) were compared with capillary SMBG values (made at least 4 times/day).

    RESULTS: Clinical accuracy of sensor results versus SMBG results was demonstrated, with 88.1% and 99.8% of results within Zone A and Zones A and B of the Consensus Error Grid, respectively. Overall mean absolute relative difference was 11.8%. Sensor accuracy was unaffected by the type of diabetes, the stage of pregnancy, whether insulin was used, age or body mass index. User questionnaires indicated high levels of satisfaction with sensor wear, system use, and comparison to SMBG. There were no unanticipated device-related adverse events.

    CONCLUSIONS: Good agreement was demonstrated between the FreeStyle Libre System and SMBG. Accuracy of the system was unaffected by patient characteristics, indicating that the system is safe and accurate to use by pregnant women with diabetes.

    Matched MeSH terms: Insulin Infusion Systems
Filters
Contact Us

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

External Links