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9. Basal Hyperglycemia Contributes More Than 50% to Time in Range in Pregnant Women With Type 1 Diabetes.

Author

Ling, Ping, Yang, Daizhi, Wang, Chaofan, Zheng, Xueying, Luo, Sihui, Yang, Xubin, Deng, Hongrong, Xu, Wen, Yan, Jinhua, and Weng, Jianping

Subjects
CONTINUOUS glucose monitoring, TYPE 1 diabetes, GLYCOSYLATED hemoglobin, PREGNANCY outcomes, PREGNANT women, GESTATIONAL diabetes
Abstract

Objectives To evaluate the relative contribution of basal hyperglycemia (BHG) and postprandial hyperglycemia (PHG) to the time in range (TIR) categories and adverse pregnancy outcomes in pregnant women with type 1 diabetes mellitus (T1DM). Materials and Methods This observational study included 112 pregnancies with T1DM from the CARNATION study who wore continuous glucose monitoring (CGM) devices during pregnancy. The data from CGM were analyzed for TIR (range, 3.5-7.8 mmol/L), areas under the curve of PHG, area under the curve of BHG, and BHG and PHG contribution rates. The contribution rates of BHG and PHG to the different levels of TIR (<60%, 60-78%, ≥78%) and adverse pregnancy outcomes were analyzed. Results The participants' average age was 28.8 ± 3.9 years with a diabetes duration of 8.4 ± 6.2 years. All women experienced a mean TIR of 75.6 ± 19.0% and a mean glycated hemoglobin of 6.2 ± 1.1% during pregnancy. The BHG contribution accounted for 74.9% (36.8, 100), 69.2% (13.4, 100), and 66.5% (10.0, 100) (P <.001) and PHG accounted for 25.1% (0, 63.2), 30.8% (0, 86.6), and 33.5% (0, 90.0) (P <.001) when participants experienced the TIR<60%, 60%-78%, and ≥78%, respectively. Participants with higher BHG contribution rates tended to have more adverse pregnancy outcomes. Conclusion Basal hyperglycemia was the major contributor to TIR during pregnancy. Along with controlling PHG, pregnant women with T1DM who did not reach the target of TIR may benefit more from the optimization of insulin regimens focusing on reducing basal glucose. [ABSTRACT FROM AUTHOR]

Published
2024
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10. Management for multiple endocrine neoplasia 1 during pregnancy： clinical and genetic analysis for a pedigree and review of literature

Author

Ye Zhiwei, Deng Hongrong, Liu Zhigu, Lin Huimin, Xu Wen, Yao Bin

Subjects
multiple endocrine neoplasia 1, men1 gene, pregnancy, autosome, pituitary adenoma, Medicine
Abstract

Objective To investigate the clinical characteristics and management strategies for multiple endocrine neoplasia 1 （MEN1） during pregnancy. Methods The gender, age, detailed medical history, clinical symptoms and signs, laboratory, imaging and pathological examination data of a MEN1 proband were collected. And the demographic characteristics, clinical characteristics and auxiliary examination of 20 members from the MEN1 family were also collected. MEN1 cases during pregancy were searched from PubMed and Wanfang Data using the keywords of “Multiple Endocrine Neoplasia Type 1“and“Pregnant” in both English and Chinese. Results The main clinical manifestations of the MEN1 proband were pituitary microadenoma （galactorrhea, elevated prolactin）, pancreatic endocrine tumor （hypoglycemia） and parathyroid adenoma （asymptomatic, elevated parathyroid hormone and blood calcium）. Gene analysis confirmed that exon 9 of MEN1 gene （CGA > TGA, Arg415Term） was the pathogenic mutated gene. The father and daughter of the proband carried this pathogenic mutation and had hyperparathyroidism. After drug treatment for pituitary microadenoma and surgical treatment for pancreatic endocrine tumor and parathyroid adenoma, the proband was pregnant and delivered a female infant successfully. During this period, there was no recurrence of galactorrhea and hypoglycemia, the levels of parathyroid hormone and blood calcium were stable, and fetal growth and development were normal. A total of seven pregnant cases of MEN1 in English literature and one in Chinese literature were retrieved. It was found that all MEN1 patients developed onset of diseases at childbearing age. As for clinical symptoms, parathyroid, pancreas and pituitary were the most involved. Most patients had family history and MEN1 gene mutation. In terms of pregnancy outcome, seven patients delivered successfully under strict condition monitoring and treatment. Conclusion Clinicians’ active detection, diagnosis and treatment will help to improve the prognosis of MEN1 patients and their offspring.

Published
2022
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14. Cover Image

Author

Ling, Ping, primary, Yang, Daizhi, additional, Wang, Chaofan, additional, Zheng, Xueying, additional, Luo, Sihui, additional, Yang, Xubin, additional, Deng, Hongrong, additional, Xu, Wen, additional, Yan, Jinhua, additional, and Weng, Jianping, additional

Published
2023
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17. Efficacy and safety of Android artificial pancreas system use at home among adults with type 1 diabetes mellitus in China: protocol of a 26-week, free-living, randomised, open-label, two-arm, two-phase, crossover trial

Author

Lei, Mengyun, primary, Lin, Beisi, additional, Ling, Ping, additional, Liu, Zhigu, additional, Yang, Daizhi, additional, Deng, Hongrong, additional, Yang, Xubin, additional, Lv, Jing, additional, Xu, Wen, additional, and Yan, Jinhua, additional

Published
2023
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18. Data-driven subgroups of newly diagnosed type 2 diabetes and the relationship with cardiovascular diseases of genetic and clinical levels in Chinese adults

Author

Wang, Weihao, primary, Jia, Tong, additional, Liu, Yiying, additional, Deng, Hongrong, additional, Chen, Zihao, additional, Wang, Jing, additional, Geng, Zhaoxu, additional, Wei, Ran, additional, Qiao, Jingtao, additional, Ma, Yanhua, additional, Jiang, Xun, additional, Xu, Wen, additional, Shao, Jian, additional, Zhou, Kaixin, additional, Li, Ying, additional, Pan, Qi, additional, Yang, Wenying, additional, Weng, Jianping, additional, and Guo, Lixin, additional

Published
2023
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21. Effect of artificial pancreas system use on glycaemic control among pregnant women with type 1 diabetes mellitus: A meta‐analysis of randomized controlled trials.

Author

Lei, Mengyun, Chen, Danrui, Ling, Ping, Wang, Chaofan, Yang, Daizhi, Deng, Hongrong, Yang, Xubin, Xu, Wen, and Yan, Jinhua

Subjects
TYPE 1 diabetes, GLYCEMIC control, ARTIFICIAL pancreases, PREGNANT women, RANDOMIZED controlled trials, GESTATIONAL diabetes
Abstract

Aim: To assess the efficacy of artificial pancreas systems (APS) use among pregnant women with type 1 diabetes mellitus (T1DM) by conducting a meta‐analysis. Methods: We searched five databases, including EMBASE, Web of Science, PubMed, Cochrane Library and SCOPUS, for literature on APS use among pregnant women with T1DM before October 9, 2023. The primary endpoint was 24‐hour time in range (TIR; 3.5‐7.8 mmol/L). Secondary endpoints included glycaemic metrics for 24‐hour (mean blood glucose [MBG], time above range [TAR], time below range [TBR]), and overnight TIR and TBR. Results: We identified four randomized controlled trials involving 164 participants; one study with 16 participants focused on overnight APS use, and the other three focused on 24‐hour APS use. Compared with standard care, APS exhibited a favourable effect on 24‐hour TIR (standard mean difference [SMD] = 0.53, 95% confidence interval [CI] 0.25, 0.80, P < 0.001), overnight TIR (SMD = 0.67, 95% CI 0.39, 0.95, P < 0.001), and overnight TBR (<3.5 mmol/L; SMD = −0.49, 95% CI −0.77, −0.21 P < 0.001), while there was no significant difference in 24‐hour TAR, 24‐hour TBR, or MBG between the two groups. We further conducted subgroup analyses after removing the trial focused on overnight APS use and showed that 24‐hour APS use reduced not only the 24‐hour TIR (SMD = 0.41, 95% CI 0.12, 0.71; P = 0.007) but also the 24‐hour TBR (<2.8 mmol/L; SMD = −0.77, 95% CI −1.32, −0.23, P = 0.006). Conclusion: Our findings suggest that APS might improve 24‐hour TIR and overnight glycaemic control, and 24‐hour APS use also significantly reduced 24‐hour TBR (2.8 mmol/L) among pregnant women with T1DM. [ABSTRACT FROM AUTHOR]

Published
2024
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24. Effects of intermittently scanned continuous glucose monitoring in adult type 1 diabetes patients with suboptimal glycaemic control: A multi‐centre randomized controlled trial

Author

Yan, Jinhua, primary, Zhou, Yongwen, additional, Zheng, Xueying, additional, Zheng, Mao, additional, Lu, Jing, additional, Luo, Sihui, additional, Yang, Daizhi, additional, Deng, Hongrong, additional, Xu, Wen, additional, Bi, Yan, additional, Bao, Wei, additional, and Weng, Jianping, additional

Published
2023
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30. Machine learning algorithms utilizing blood parameters enable early detection of immunethrombotic dysregulation in COVID‐19

Author

Zhou, Zhaoming, primary, Zhou, Xiang, additional, Cheng, Liming, additional, Wen, Lei, additional, An, Taixue, additional, Gao, Heng, additional, Deng, Hongrong, additional, Yan, Qi, additional, Zhang, Xinlu, additional, Li, Youjiang, additional, Liao, Yixing, additional, Chen, Xin‐zu, additional, Nie, Bin, additional, Cheng, Jie, additional, Deng, Guanhua, additional, Wang, Shengqiang, additional, Li, Juan, additional, Yin, Hanqi, additional, Zhang, Mengxian, additional, Cai, Linbo, additional, Zheng, Lei, additional, Li, Minglun, additional, Jones, Bleddyn, additional, Chen, Longhua, additional, Abdollahi, Amir, additional, Zhou, Meijuan, additional, Zhou, Ping‐Kun, additional, and Zhou, Cheng, additional

Published
2021
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33. Efficacy and Safety of a Decision Support Intervention for Basal Insulin Self-Titration Assisted by the Nurse in Outpatients with T2DM: A Randomized Controlled Trial

Author

Hu,Xiling, Deng,Hongrong, Zhang,Yao, Guo,Xiaodi, Cai,Mengyin, Ling,Cong, Li,Kun, Hu,Xiling, Deng,Hongrong, Zhang,Yao, Guo,Xiaodi, Cai,Mengyin, Ling,Cong, and Li,Kun

Abstract

Xiling Hu,1,* Hongrong Deng,2,* Yao Zhang,2 Xiaodi Guo,2 Mengyin Cai,2 Cong Ling,3,* Kun Li4,* 1Department of Medicine, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, People’s Republic of China; 2Department of Endocrinology and Metabolism, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, People’s Republic of China; 3Department of Neurosurgery, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, People’s Republic of China; 4School of Nursing, Sun Yat-sen University, Guangzhou, People’s Republic of China*These authors contributed equally to this workCorrespondence: Cong LingDepartment of Neurosurgery, The Third Affiliated Hospital of Sun Yat-sen University, No. 600 Tianhe Road, Guangzhou, Guangdong, 510630, People’s Republic of ChinaTel +86-13580465121Email doctor200@163.comKun LiSchool of Nursing, Sun Yat-sen University, No. 74, Zhongshan Second Road, Guangzhou, Guangdong, 510085, People’s Republic of ChinaTel +86-13822206519Email likun22@mail.sysu.edu.cnObjective: The main aim of this study was to evaluate a combined fasting blood glucose based dosage self-titration setting and decision supported telephone coaching intervention on glycemic control and diabetes self-management skills, compared to the conventional care.Methods: A 12-week, single-blinded, randomized controlled trial was conducted on adults with type 2 diabetes (T2DM) primarily treated with basal insulin. After randomization, the intervention group (IG, n = 426) received a basal insulin self-titration decision support intervention administered by the Diabetes Specialty Nurses while the control group (CG, n = 423) received conventional care for 12 weeks, both included five telephone interviews. The primary efficacy endpoint was the effect of intervention on glycemic control, measured as the change in glycated hemoglobin (HbA1c) from baseline to Week 12 (after intervention) compared to the c

Published
2021

38. 884-P: Discrepancies in Key Metrics of Glycemic Control between Retrospective Continuous Glucose Monitoring System and Flash Glucose Monitoring in Adult Patients with Type 1 Diabetes

Author

ZHOU, YONGWEN, primary, DENG, HONGRONG, additional, YANG, DAIZHI, additional, YAN, JINHUA, additional, XU, WEN, additional, LIU, HONGXIA, additional, GAN, LU, additional, LUO, SIHUI, additional, ZHENG, XUEYING, additional, LIANG, HUA, additional, YAO, BIN, additional, and WENG, JIANPING, additional

Published
2020
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43. Impacts of glycemic variability on the relationship between glucose management indicator from iPro™2 and laboratory hemoglobin A1c in adult patients with type 1 diabetes mellitus

Author

Liu, Hongxia, primary, Yang, Daizhi, additional, Deng, Hongrong, additional, Xu, Wen, additional, Lv, Jing, additional, Zhou, Yongwen, additional, Luo, Sihui, additional, Zheng, Xueying, additional, Liang, Hua, additional, Yao, Bin, additional, Qiu, Liling, additional, Wang, Funeng, additional, Liu, Fang, additional, Yan, Jinhua, additional, and Weng, Jianping, additional

Published
2020
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47. Liraglutide, Sitagliptin, and Insulin Glargine Added to Metformin: The Effect on Body Weight and Intrahepatic Lipid in Patients With Type 2 Diabetes Mellitus and Nonalcoholic Fatty Liver Disease

Author

Yan, Jinhua, primary, Yao, Bin, additional, Kuang, Hongyu, additional, Yang, Xubin, additional, Huang, Qin, additional, Hong, Tianpei, additional, Li, Yushu, additional, Dou, Jingtao, additional, Yang, Wenying, additional, Qin, Guijun, additional, Yuan, Huijuan, additional, Xiao, Xinhua, additional, Luo, Sihui, additional, Shan, Zhongyan, additional, Deng, Hongrong, additional, Tan, Ying, additional, Xu, Fen, additional, Xu, Wen, additional, Zeng, Longyi, additional, Kang, Zhuang, additional, and Weng, Jianping, additional

Published
2019
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49. Effect of baseline body mass index on glycemic control and weight change with exenatide monotherapy in Chinese drug‐naïve type 2 diabetic patients.

Author

Deng, Hongrong, Lin, Shuo, Yang, Xubin, Lv, Jing, Luo, Sihui, Zeng, Longyi, Weng, Jianping, and Xu, Wen

Subjects
*BODY mass index, *GLYCEMIC control, *GLYCEMIC index, *WEIGHT loss, *BODY weight
Abstract

Background: The weight‐reducing effect of exenatide has been proved, but too much weight loss in normal‐weight patients may concern physicians. This study evaluated the effects of exenatide monotherapy on glycemic control and weight change in normal‐weight, overweight, and obese patients with newly diagnosed type 2 diabetes (T2D). Methods: In this multicenter prospective study, 29 normal‐weight, 54 overweight, and 27 obese newly diagnosed and drug‐naïve patients with T2D were treated with exenatide for 48 weeks. The primary efficacy endpoint was the effect of baseline body mass index (BMI) on glycemic control, measured as the change in HbA1c from baseline to Week 48 compared among different BMI groups. Other endpoints included comparisons of the effects of exenatide on fasting plasma glucose (FPG), postprandial plasma glucose (PPG), body weight, and other metabolic indices. Results: After 48‐week treatment, the estimated mean changes in HbA1c in normal‐weight, overweight, and obese patients were −1.9%, −1.8%, and −1.5%, respectively (P = 0.290 among groups after adjustment for baseline values). There were similar declines in FPG and 0.5‐ and 2‐hour PPG among groups. There were non‐significant trends from normal‐weight to overweight to obese patients for increased weight reduction (decreases of 2.2, 3.9, and 4.0 kg, respectively; P = 0.104) and changes in waist circumference (decreases of 2.2, 3.2, and 5.6 cm, respectively; P = 0.078). Conclusions: Baseline BMI had no effect on glycemic control, weight change, or other metabolic indices with exenatide monotherapy. Normal‐weight patients with T2D would benefit from exenatide as much as overweight or obese patients on glucose control, without increased risk of excess weight loss. [ABSTRACT FROM AUTHOR]

Published
2019
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50. Demographic and clinical characteristics of patients with type 1 diabetes mellitus: A multicenter registry study in Guangdong, China

Author

Yang, Daizhi, primary, Deng, Hongrong, additional, Luo, Guochun, additional, Wu, Ge, additional, Lin, Shaoda, additional, Yuan, Lin, additional, Xv, Meilun, additional, Li, Shaoqing, additional, Zhang, Xiuwei, additional, Wu, Jianneng, additional, Lang, Jiangming, additional, Liang, Ganxiong, additional, Lin, Jiancai, additional, Chen, Dingyu, additional, Li, Lu, additional, Fang, Yishan, additional, Wu, Yongxin, additional, Ou, Wenxin, additional, Li, Jin, additional, Weng, Jianping, additional, and Yan, Jinhua, additional

Published
2016
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