1.Impact of the Micra AV Leadless Pacemaker on Cardiac Function:a Real-world Study
Yalan DENG ; Wenqi PAN ; Yue WEI ; Yangyang BAO ; Yun XIE ; Changjian LIN ; Ning ZHANG ; Qi JIN ; Tianyou LING ; Liqun WU
Chinese Circulation Journal 2025;40(7):653-658
Objectives:To investigate the impact of the Micra AV leadless pacemaker on cardiac function.Methods:A total of 76 patients who received the implantation of Micra AV leadless pacemaker due to sick sinus syndrome or atrioventricular block at Ruijin Hospital,Shanghai Jiao Tong University School of Medicine from September 2022 to April 2023 were included in this study.Among them,26 patients(34.2%)had sick sinus syndrome,and 50 patients(65.8%)had atrioventricular block.The patients were followed up for 1 year postoperatively.Cardiac function was evaluated by echocardiography,and the parameters of the pacemaker were collected through the outpatient clinic programming system.Results:After a follow-up of 120(87,181)days,compared with the preoperative state,the left ventricular ejection fraction(LVEF)decreased postoperatively([66.6±5.6]%vs.[63.8±5.2]%,P<0.001),and the cardiac output increased[(4.3±1.2)L/min vs.(5.3±1.5)L/min,P<0.001].There were no statistically significant differences in various cardiac function indexes of patients with sick sinus syndrome between the postoperative and preoperative states(all P>0.05).Compared with the preoperative state,in patients with atrioventricular block,the LVEF decreased postoperatively([67.0±5.1]%vs.[63.4±4.4]%,P<0.001),the cardiac output increased([4.2±1.1]L/min vs.[5.2±1.2]L/min,P<0.001),and the left ventricular end-diastolic diameter decreased[(49.9±5.4)mm vs.(48.6±5.0)mm,P=0.044].Firth's logistic regression analysis indicated that the preoperative LVEF(for every 1%increase,OR=1.56,95%CI:1.12-2.17,P=0.001),stroke volume(for every 1 ml increase,OR=1.15,95%CI:1.04-1.28,P=0.001),body mass index(for every 1 kg/m2 increase,OR=1.49,95%CI:1.02-2.17,P=0.020),and hypertension(OR=12.71,95%CI:1.11-145.13,P=0.039)were independent risk factors for the decrease in LVEF after surgery in patients with atrioventricular block.After the implantation of the MciraTM AV leadless pacemaker,the overall atrioventricular synchrony rate was 81.2%(68.8%,89.0%).The atrioventricular synchrony rates of patients with sick sinus syndrome and those with atrioventricular block were 70.6%(59.5%,83.4%)and 82.4%(74.2%,89.3%)respectively(P<0.05).Firth's logistic regression analysis indicated that sick sinus syndrome(OR=0.26,95%CI:0.07-0.89,P=0.029)and preoperative LVEF(for every 1%increase,OR=1.18,95%CI:1.03-1.35,P=0.015)were independent predictive factors for the atrioventricular synchrony rate>80%.Conclusions:There are differences in the impacts of the Micra AV leadless pacemaker on the LVEF and atrioventricular synchrony rate between patients with sick sinus syndrome and those with atrioventricular block.The preoperative LVEF,stroke volume,body mass index,and hypertension have independent predictive effects on the decrease in postoperative LVEF in patients with atrioventricular block.Sick sinus syndrome and preoperative LVEF are independent predictive factors for the atrioventricular synchrony rate>80%after surgery.
2.Exploration on the Mechanism of Astragali Complanati Semen in Preventing and Treating Hyperlipidemia Based on Network Pharmacology and Experimental Validation
Juanjuan TAN ; Wenqi ZHOU ; Guorong DENG ; Li CHENG ; Fang GUAN ; Qiong YU ; Hongyi YANG ; Feng HUANG ; Yuanwang YU ; Haifang WANG ; Ruihua YUAN
Chinese Journal of Information on Traditional Chinese Medicine 2025;32(11):40-47
Objective To investigate the mechanism of Astragali Complanati Semen in the prevention and treatment of hyperlipidemia;To provide theoretical basis for its clinical application.Methods The active components of Astragali Complanati Semen were retrieved and screened through TCMSP,TCMID and TDT databases to obtain the action targets of the active components.Hyperlipidemia targets were obtained through GeneCards,DisGeNET,and TTD databases,and the drug active component targets were intersected with hyperlipidemia targets.Cytoscape 3.9.1 software and STRING database were used to construct active component-target network and protein-protein interaction network,screening for major active components and core targets.GO and KEGG pathway enrichment analysis was performed using the DAVID database,and the CB-Dock platform was used for molecular docking.HepG2 cells were induced to construct a high-fat cell model using oleic acid and palmitic acid,and intervened with Astragali Complanati Semen freeze-dried powder solution.The mRNA expression of the core target was detected by RT-qPCR.Results A total of 10 active components of Astragali Complanati Semen and 67 potential action targets of hyperlipidemia were identified,involving signaling pathways such as AGE-RAGE,lipid metabolism,HIF-1,etc.Experimental results showed that intervention with Astragali Complanati Semen could reduce lipid accumulation in the high-lipid cell model,with an optimal intervention concentration of 500 μg/mL;RT-qPCR revealed significant down-regulation of TNFα,IL6,AKT1,PPARG,and other genes after intervention with Astragali Complanati Semen.Conclusion Astragali Complanati Semen exerts lipid-regulating effects through multiple targets and pathways,providing a basis for its application in the prevention and treatment of hyperlipidemia.
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.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.

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