1.Efficacy and Safety of Automated Insulin Delivery Systems in Patients with Type 1 Diabetes Mellitus: A Systematic Review and Meta-Analysis
Wenqi FAN ; Chao DENG ; Ruoyao XU ; Zhenqi LIU ; Richard David LESLIE ; Zhiguang ZHOU ; Xia LI
Diabetes & Metabolism Journal 2025;49(2):235-251
Background:
Automated insulin delivery (AID) systems studies are upsurging, half of which were published in the last 5 years. We aimed to evaluate the efficacy and safety of AID systems in patients with type 1 diabetes mellitus (T1DM).
Methods:
We searched PubMed, Embase, Cochrane Library, Web of Science, and ClinicalTrials.gov until August 31, 2023. Randomized clinical trials that compared AID systems with other insulin-based treatments in patients with T1DM were considered eligible. Studies characteristics and glycemic metrics was extracted by three researchers independently.
Results:
Sixty-five trials (3,623 patients) were included. The percentage of time in range (TIR) was 11.74% (95% confidence interval [CI], 9.37 to 14.12; P<0.001) higher with AID systems compared with control treatments. Patients on AID systems had more pronounced improvement of time below range when diabetes duration was more than 20 years (–1.80% vs. –0.86%, P=0.031) and baseline glycosylated hemoglobin lower than 7.5% (–1.93% vs. –0.87%, P=0.033). Dual-hormone full closed-loop systems revealed a greater improvement in TIR compared with hybrid closed-loop systems (–19.64% vs. –10.87%). Notably, glycemia risk index (GRI) (–3.74; 95% CI, –6.34 to –1.14; P<0.01) was also improved with AID therapy.
Conclusion
AID systems showed significant advantages compared to other insulin-based treatments in improving glucose control represented by TIR and GRI in patients with T1DM, with more favorable effect in euglycemia by dual-hormone full closedloop systems as well as less hypoglycemia for patients who are within target for glycemic control and have longer diabetes duration.
3.Efficacy and Safety of Automated Insulin Delivery Systems in Patients with Type 1 Diabetes Mellitus: A Systematic Review and Meta-Analysis
Wenqi FAN ; Chao DENG ; Ruoyao XU ; Zhenqi LIU ; Richard David LESLIE ; Zhiguang ZHOU ; Xia LI
Diabetes & Metabolism Journal 2025;49(2):235-251
Background:
Automated insulin delivery (AID) systems studies are upsurging, half of which were published in the last 5 years. We aimed to evaluate the efficacy and safety of AID systems in patients with type 1 diabetes mellitus (T1DM).
Methods:
We searched PubMed, Embase, Cochrane Library, Web of Science, and ClinicalTrials.gov until August 31, 2023. Randomized clinical trials that compared AID systems with other insulin-based treatments in patients with T1DM were considered eligible. Studies characteristics and glycemic metrics was extracted by three researchers independently.
Results:
Sixty-five trials (3,623 patients) were included. The percentage of time in range (TIR) was 11.74% (95% confidence interval [CI], 9.37 to 14.12; P<0.001) higher with AID systems compared with control treatments. Patients on AID systems had more pronounced improvement of time below range when diabetes duration was more than 20 years (–1.80% vs. –0.86%, P=0.031) and baseline glycosylated hemoglobin lower than 7.5% (–1.93% vs. –0.87%, P=0.033). Dual-hormone full closed-loop systems revealed a greater improvement in TIR compared with hybrid closed-loop systems (–19.64% vs. –10.87%). Notably, glycemia risk index (GRI) (–3.74; 95% CI, –6.34 to –1.14; P<0.01) was also improved with AID therapy.
Conclusion
AID systems showed significant advantages compared to other insulin-based treatments in improving glucose control represented by TIR and GRI in patients with T1DM, with more favorable effect in euglycemia by dual-hormone full closedloop systems as well as less hypoglycemia for patients who are within target for glycemic control and have longer diabetes duration.
5.Efficacy and Safety of Automated Insulin Delivery Systems in Patients with Type 1 Diabetes Mellitus: A Systematic Review and Meta-Analysis
Wenqi FAN ; Chao DENG ; Ruoyao XU ; Zhenqi LIU ; Richard David LESLIE ; Zhiguang ZHOU ; Xia LI
Diabetes & Metabolism Journal 2025;49(2):235-251
Background:
Automated insulin delivery (AID) systems studies are upsurging, half of which were published in the last 5 years. We aimed to evaluate the efficacy and safety of AID systems in patients with type 1 diabetes mellitus (T1DM).
Methods:
We searched PubMed, Embase, Cochrane Library, Web of Science, and ClinicalTrials.gov until August 31, 2023. Randomized clinical trials that compared AID systems with other insulin-based treatments in patients with T1DM were considered eligible. Studies characteristics and glycemic metrics was extracted by three researchers independently.
Results:
Sixty-five trials (3,623 patients) were included. The percentage of time in range (TIR) was 11.74% (95% confidence interval [CI], 9.37 to 14.12; P<0.001) higher with AID systems compared with control treatments. Patients on AID systems had more pronounced improvement of time below range when diabetes duration was more than 20 years (–1.80% vs. –0.86%, P=0.031) and baseline glycosylated hemoglobin lower than 7.5% (–1.93% vs. –0.87%, P=0.033). Dual-hormone full closed-loop systems revealed a greater improvement in TIR compared with hybrid closed-loop systems (–19.64% vs. –10.87%). Notably, glycemia risk index (GRI) (–3.74; 95% CI, –6.34 to –1.14; P<0.01) was also improved with AID therapy.
Conclusion
AID systems showed significant advantages compared to other insulin-based treatments in improving glucose control represented by TIR and GRI in patients with T1DM, with more favorable effect in euglycemia by dual-hormone full closedloop systems as well as less hypoglycemia for patients who are within target for glycemic control and have longer diabetes duration.
7.Efficacy and Safety of Automated Insulin Delivery Systems in Patients with Type 1 Diabetes Mellitus: A Systematic Review and Meta-Analysis
Wenqi FAN ; Chao DENG ; Ruoyao XU ; Zhenqi LIU ; Richard David LESLIE ; Zhiguang ZHOU ; Xia LI
Diabetes & Metabolism Journal 2025;49(2):235-251
Background:
Automated insulin delivery (AID) systems studies are upsurging, half of which were published in the last 5 years. We aimed to evaluate the efficacy and safety of AID systems in patients with type 1 diabetes mellitus (T1DM).
Methods:
We searched PubMed, Embase, Cochrane Library, Web of Science, and ClinicalTrials.gov until August 31, 2023. Randomized clinical trials that compared AID systems with other insulin-based treatments in patients with T1DM were considered eligible. Studies characteristics and glycemic metrics was extracted by three researchers independently.
Results:
Sixty-five trials (3,623 patients) were included. The percentage of time in range (TIR) was 11.74% (95% confidence interval [CI], 9.37 to 14.12; P<0.001) higher with AID systems compared with control treatments. Patients on AID systems had more pronounced improvement of time below range when diabetes duration was more than 20 years (–1.80% vs. –0.86%, P=0.031) and baseline glycosylated hemoglobin lower than 7.5% (–1.93% vs. –0.87%, P=0.033). Dual-hormone full closed-loop systems revealed a greater improvement in TIR compared with hybrid closed-loop systems (–19.64% vs. –10.87%). Notably, glycemia risk index (GRI) (–3.74; 95% CI, –6.34 to –1.14; P<0.01) was also improved with AID therapy.
Conclusion
AID systems showed significant advantages compared to other insulin-based treatments in improving glucose control represented by TIR and GRI in patients with T1DM, with more favorable effect in euglycemia by dual-hormone full closedloop systems as well as less hypoglycemia for patients who are within target for glycemic control and have longer diabetes duration.
9.Role of cumulative hemoglobin A 1c levels and insulin doses in insulin resistance-related metabolic disorders in patients with type 1 diabetes
Mei SHI ; Yan ZHANG ; Wenqi FAN ; Yan CHEN ; Yuting XIE ; Chao DENG ; Xia LI
Chinese Journal of Internal Medicine 2025;64(4):309-317
Objective:To examine the effect of cumulative hemoglobin A 1c (HbA 1c) levels and insulin dosage on insulin resistance (IR)-related metabolic disturbances in newly diagnosed patients with type 1 diabetes (T1D). Methods:This retrospective cohort study included T1D patients admitted to the Second Xiangya Hospital of Central South University from November 2015 to March 2023. Clinical data collected comprised age, sex, disease duration, insulin dosage, body mass index, waist circumference, blood pressure, HbA 1c levels, islet autoantibodies, and fasting blood lipid profiles. IR-related metabolic disturbances assessed were overweight, obesity, central obesity, hypertension, and dyslipidemia. Cox regression and cluster analyses were applied to assess the influence of cumulative HbA 1c and insulin dosage on these metabolic disturbances. Results:A total of 235 patients were included, with 97 males (41.3%) and 138 females (58.7%). The median age was 19.8 (13.3, 31.1) years, and the median follow-up duration was 30.8 (20.8, 45.6) months. During follow-up, 41.6% (72/173) of patients developed IR-related metabolic disturbances. Multivariate Cox regression analysis revealed that a cumulative HbA 1c ≥60 mmol/mol was an independent risk factor for any IR-related metabolic disturbance [ HR (95% CI): 1.739 (1.067-2.835) ] and for triglyceride abnormalities [ HR (95% CI): 3.277 (1.176-9.127)]. Additionally, a cumulative insulin dosage ≥0.5 U·kg -1·d -1 was identified as an independent risk factor for overweight, obesity, or central obesity [ HR (95% CI): 2.374 (1.059-5.323)]. Cluster analysis further identified that patients with higher levels of cumulative HbA 1c and insulin dosage, particularly those with adolescent-onset diabetes, had the highest likelihood of developing hypertension ( HR=2.460, 95% CI 1.008-6.005), overweight/obesity/central obesity ( HR=2.707, 95% CI 1.062-6.900), triglyceride abnormalities ( HR=5.495, 95% CI 1.842-16.391), high-density lipoprotein cholesterol abnormalities ( HR=11.054, 95% CI 4.107-29.751), and any IR-related metabolic disturbance ( HR=5.833, 95% CI 2.602-13.077). Conclusions:Elevated cumulative HbA 1c and insulin dosage levels in T1D patients are associated with an increased risk of developing IR-related metabolic disturbances. These findings underscore the urgent need for novel therapeutic strategies tailored to this population.
10.Effect of azvudine on prevention of SARS-CoV-2 infection among population of close contact with families with symptomatic SARS-CoV-2 infection
Chao JIANG ; Xuping DENG ; Hai FAN ; Peng JIANG
Chinese Journal of Nosocomiology 2025;35(18):2736-2740
OBJECTIVE T o explore the effectiveness and safety of azvudine in prevention of SARS-CoV-2 infection among the population of close contact with families with symptomatic SARS-CoV-2 infection.METHODS A total of 64 people who were closely contact with the families with symptomatic SARS-CoV-2 infection and were trea-ted in Ma'anshan People's Hospital from Jan.2023 to Oct.2023 were enrolled in the study and randomly divid-ed into the group A with 22 cases,the group B with 17 cases and the group C with 25 cases.The group A was giv-en 5mg of azvudine,the group B was given 3mg of azvudine plus 2mg of placebo,and the group C was given 5 mg of azvudine;all the three groups were treated for 7 days in total.The incidence of SARS-CoV-2 infection and the levels of interleukin-6(IL-6),C-reactive protein(CRP),immunoglobulin G(IgG)and immunoglobulin M(IgM)were observed among the three groups of research subjects after the drug therapies;the adverse reactions were re-corded during the research period.RESULTS The incidence rate of SARS-CoV-2 infection was 4.55%in the group A,11.76%in the group B,12.00%in the group C,and there was no significant difference(x2=0.921,P=0.631).There were no significant differences in the levels of IL-6,CRP,IgG and IgM among the three groups be-fore and after the drug therapies.The incidence of adverse reactions such as fatigue,cough,hypertriglyceridemia and gastrointestinal tract reactions was 9.09%in the group A after the drug therapies,11.76%in the group B,12.00%in the group C,and there was no significant difference.CONCLUSION There is no significant difference in the effectiveness of azvudine in prevention of SARS-CoV-2 infection among the population of close contact with families with symptomatic SARS-CoV-2 infection,with the safety and tolerance favorable.

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