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.Changing resistance profiles of Haemophilus influenzae and Moraxella catarrhalis isolates in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Hui FAN ; Chunhong SHAO ; Jia WANG ; Yang YANG ; Fupin HU ; Demei ZHU ; Yunsheng CHEN ; Qing MENG ; Hong ZHANG ; Chun WANG ; Fang DONG ; Wenqi SONG ; Kaizhen WEN ; Yirong ZHANG ; Chuanqing WANG ; Pan FU ; Chao ZHUO ; Danhong SU ; Jiangwei KE ; Shuping ZHOU ; Hua ZHANG ; Fangfang HU ; Mei KANG ; Chao HE ; Hua YU ; Xiangning HUANG ; Yingchun XU ; Xiaojiang ZHANG ; Wenen LIU ; Yanming LI ; Lei ZHU ; Jinhua MENG ; Shifu WANG ; Bin SHAN ; Yan DU ; Wei JIA ; Gang LI ; Jiao FENG ; Ping GONG ; Miao SONG ; Lianhua WEI ; Xin WANG ; Ruizhong WANG ; Hua FANG ; Sufang GUO ; Yanyan WANG ; Dawen GUO ; Jinying ZHAO ; Lixia ZHANG ; Juan MA ; Han SHEN ; Wanqing ZHOU ; Ruyi GUO ; Yan ZHU ; Jinsong WU ; Yuemei LU ; Yuxing NI ; Jingrong SUN ; Xiaobo MA ; Yanqing ZHENG ; Yunsong YU ; Jie LIN ; Ziyong SUN ; Zhongju CHEN ; Zhidong HU ; Jin LI ; Fengbo ZHANG ; Ping JI ; Yunjian HU ; Xiaoman AI ; Jinju DUAN ; Jianbang KANG ; Xuefei HU ; Xuesong XU ; Chao YAN ; Yi LI ; Shanmei WANG ; Hongqin GU ; Yuanhong XU ; Ying HUANG ; Yunzhuo CHU ; Sufei TIAN ; Jihong LI ; Bixia YU ; Cunshan KOU ; Jilu SHEN ; Wenhui HUANG ; Xiuli YANG ; Likang ZHU ; Lin JIANG ; Wen HE ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2025;25(1):30-38
Objective To investigate the distribution and antimicrobial resistance profiles of clinically isolated Haemophilus influenzae and Moraxella catarrhalis in hospitals across China from 2015 to 2021,and provide evidence for rational use of antimicrobial agents.Methods Data of H.influenzae and M.catarrhalis strains isolated from 2015 to 2021 in CHINET program were collected for analysis,and antimicrobial susceptibility testing was performed by disc diffusion method or automated systems according to the uniform protocol of CHINET.The results were interpreted according to the CLSI breakpoints in 2022.Beta-lactamases was detected by using nitrocefin disk.Results From 2015 to 2021,a total of 43 642 strains of Haemophilus species were isolated,accounting for 2.91%of the total clinical isolates and 4.07%of Gram-negative bacteria in CHINET program.Among the 40 437 strains of H.influenzae,66.89%were isolated from children and 33.11%were isolated from adults.More than 90%of the H.influenzae strains were isolated from respiratory tract specimens.The prevalence of β-lactamase was 53.79%in H.influenzae strains.The H.influenzae strains isolated from children showed higher resistance rate than the strains isolated from adults.Overall,779 strains of H.influenzae did not produce β-lactamase but were resistant to ampicillin(BLNAR).Beta-lactamase-producing strains showed significantly higher resistance rates to these antimicrobial agents than the β-lactamase-nonproducing strains.Of the 16 191 M.catarrhalis strains,80.06%were isolated from children and 19.94%isolated from adults.M.catarrhalis strains were mostly susceptible to both amoxicillin-clavulanic acid and cefuroxime,evidenced by resistance rate lower than 2.0%.Conclusions The emergence of antibiotic-resistant H.influenzae due to β-lactamase production poses a challenge for clinical anti-infective treatment.Therefore,it is very important to implement antibiotic resistance surveillance for H.influenzae and guide rational antibiotic use.All local clinical microbiology laboratories should actively improve antibiotic susceptibility testing and strengthen antibiotic resistance surveillance for H.influenzae.
8.Application of multi-state Markov models to analyze transition of homosexual behavior in men who have sex with men and influencing factors in Shandong Province
Wenqi FAN ; Yuxi LIN ; Guoyong WANG ; Meizhen LIAO ; Wei MA ; Kedi JIAO
Chinese Journal of Epidemiology 2025;46(5):820-825
Objective:To analyze the transition patterns of anal sex and unprotected anal intercourse (UAI), estimate the transition intensity and probability, and identify factors influencing the transition patterns in men who have sex with men (MSM) in Shandong Province.Methods:In August 2019, MSM aged ≥18 years old were recruited as subjects from 11 cities in Shandong Province. The baseline survey were completed in December 2019, and followup surveys were conducted once every 3 mouths from June 2020 to March 2021. Time-continuous, state-discrete multi-state reversible Markov model was constructed based on the status of MSM's sexual behaviors with different types of sexual partners [anal sex occurred or not (S1=No, S2=Yes) and UAI occurred or not (S1=No,S2=Yes)] to analyze the transition patterns and the influencing factors.Results:A total of 735 MSM were included. The transition intensity of starting anal sex with stable and casual partners was 1.935 times and 0.595 times higher than that of discontinuing this behavior, respectively. While the transition intensity to start UAI with stable and casual partners was 0.430 times and 0.169 times higher than that of discontinuing it, respectively. During the follow-up, the transition probabilities of anal sex and UAI with both stable and casual partners increased first and then stabilized. For stable partners, the transition probability of starting anal sex was higher than that of discontinuing it at the same period, for casual partners, it was just the reverse. For both stable and casual partners, the transition probabilities of discontinuing UAI were higher than starting it at the same time. The results of multivariate analysis showed that participants who received intervention materials ( HR=1.47), had an associate degree ( HR=1.77) or a bachelor's degree and above ( HR=1.47) were at higher risk of starting anal sex with stable partners. Those who received intervention materials ( HR=1.39) were at higher risk of discontinuing anal sex with stable partners, while participants identified themselves as non-male gender ( HR=0.49) were at lower risk of discontinuing anal sex with stable partners. Participants received intervention materials ( HR=1.75) were at higher risk of starting UAI with stable partners. Those who lived apart, divorced, or widowed ( HR=3.22) were at higher risk of starting UAI with casual partners, whereas had a bachelor's degree and above ( HR=0.58) were at lower risk of starting UAI with casual partners. Participants identified themselves as non-male gender ( HR=0.45) at lower risk of discounting UAI with casual partners. Conclusions:The transition patterns of homosexual behavior in MSM are different. Marital status, gender identity, educational level and other factors are the influencing factors of sexual behavior status transitions. Future researches should develop targeted interventions for different types of sexual partners and characteristics of MSM.
9.Analysis of liver histological characteristics and clinically related factors in patients with inactive HBsAg carriers
Xinyang ZHANG ; Shan REN ; Sujun ZHENG ; Rongshan FAN ; Qingfa RUAN ; Wenqi HUANG ; Haibing GAO ; Yao XIE ; Minghui LI ; Xiulan XUE ; Fang YANG ; Junliang FU ; Xinyue CHEN
Chinese Journal of Hepatology 2025;33(7):660-666
Objective:To analyze the liver histological characteristics and clinically related factors in inactive hepatitis B surface antigen (HBsAg) carriers (IHC), and also explore whether antiviral treatment is necessary for IHC, as defined in the 2022 version of the hepatitis B prevention and treatment guidelines.Methods:A multicenter, retrospective cohort study was conducted. Two hundred and thirty-one IHC cases who underwent liver biopsy histopathological examination in nine medical institutions, including Beijing Youan Hospital affiliated with Capital Medical University, from January 2018 to December 2023 were included. General informative data, clinical serological markers, and transient elastography (TE) examination results were collected. Patients were divided into a positive (148 cases) and a negative group (83 cases) according to the results of hepatitis B virus (HBV) DNA detection. The differences in liver pathological inflammatory activity (G) and liver fibrosis stage (S) were analyzed between the two groups to explore the correlation between liver tissue conditions and clinically related factors. Comparsions of normally distributed continwous data, skeukd continuous data, and categorical data between groups are performed using t tests, Mann-Whitney U tests and χ2 tests, respectively. Results:The age of 231 IHC cases was 43 (38, 51) years old, with 95.2% (220/231) aged ≥30 years, and males accounted for 64.9% (150/231). HBsAg and HBV DNA levels were 131.9 (20.8, 400.9) IU/mL and 94.0 (0, 448.5) IU/mL, respectively, of which 35.9% (83/231) were HBV DNA negative (<20 IU/mL). The remarkable proportions of G≥2, S≥2, and liver injury (G≥2 and/or S≥2) in liver tissue were 16.5% (38/231), 29% (67/231), and 35.9% (83/231), respectively. The S≥2 proportion was significantly higher in the HBV DNA-negative group than the positive group (42.2% vs. 21.6%, P<0.001), and it mainly occurred in the population cohort over 30 years old (44.9% vs. 31.0%, P=0.04). The liver stiffness measurement (LSM), aspartate transaminase to platelet ratio index (APRI), and platelet (PLT) were significantly higher in the S≥2 group than the S<2 group ( P<0.05). Conclusion:Clinicians can comprehensively evaluate the degree of liver fibrosis in IHC based on clinical factors such as age, PLT, APRI, and LSM, even if the liver histological results are lacking. The China 2022 version guidelines define that nearly half of IHC has histological indications for antiviral therapy, and liver biopsy and prompt treatment can be recommended.
10.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.

Result Analysis
Print
Save
E-mail