Evidence map›Paper›PMID 39600943›Full record

ArticleFrontiers in endocrinology2024

Flash glucose monitoring system help reduce the frequency of hypoglycemia and hypoglycemic fear behavior in type 1 diabetes patients.

Lining Dong, Junxian Li, Yanyun Hu, Ruoting Chai, Ye Zhu, Liying Zhu, Nengguang Fan, Zhijian Zhang, Jiemin Pan, Jinhua Yan and 1 more

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Article in Frontiers in endocrinology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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11 authors.

Lining Dong *Department of Endocrinology and Metabolism, Shanghai General Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China.
Junxian Li *Department of Endocrinology and Metabolism, Shanghai General Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China.
Yanyun HuDepartment of Endocrinology and Metabolism, Shanghai General Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China.
Ruoting ChaiDepartment of Endocrinology and Metabolism, Shanghai General Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China.
Ye ZhuDepartment of Endocrinology and Metabolism, Shanghai General Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China.
Liying ZhuDepartment of Endocrinology and Metabolism, Shanghai General Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China.
Nengguang FanDepartment of Endocrinology and Metabolism, Shanghai General Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China.
Zhijian ZhangDepartment of Endocrinology and Metabolism, Shanghai General Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China.
Jiemin PanShanghai Key Laboratory of Diabetes, Department of Endocrinology & Metabolism, Shanghai Jiao-Tong University Affiliated Sixth People's Hospital, Shanghai Clinical Medical Center of Diabetes, Shanghai Key Clinical Center of Metabolic Diseases, Shanghai Institute for Diabetes, Shanghai, China.
Jinhua YanDepartment of Endocrinology & Metabolism, The Third Affiliated Hospital of Sun Yat-Sen University, Guangdong, China.
Fang LiuDepartment of Endocrinology and Metabolism, Shanghai General Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Hypoglycemia represents a serious acute complication in individuals with type 1 diabetes mellitus (T1DM). In order to more effectively identify and discriminate the occurrence of hypoglycemic events in patients with T1DM, this study aims to evaluate the impact of two distinct glucose monitoring systems-Flash Glucose Monitoring (FGM) and Continuous Glucose Monitoring (CGM)-on the management of blood glucose levels and the emotional responses associated with hypoglycemic episodes in individuals with T1DM. Method: In this study, a total of 113 patients with type 1 diabetes mellitus were enrolled and allocated to two groups for the implementation of Glucose Monitoring Systems (GMS). The groups consisted of the FreeStyle Libre group (FGM, n=56) and the ipro2 group (CGM, n=57). Participants in both groups utilized GMS at least biannually and completed a set of three questionnaires: the Diabetes Monitoring and Treatment Satisfaction Questionnaire (DMTSQ), the Diabetes Specific Quality of Life (DQOL), and the Chinese Version of the Hypoglycemia Fear Survey II (CFHSII). Clinical data, CGM metrics, and questionnaire scores were collected at the initial visit and after a one-year follow-up period. Results: The glucose coefficient of variation (GCV) and the standard deviation of blood glucose (SDBG) were independently associated with Time Below Range (TBR). Specifically, GCV could predict TBR ≥12%, with a cut-off point of 40.55. This yielded a specificity of 88.10% and a sensitivity of 68.18% in the overall patient population. For the FreeStyle Libre group and the iPro2 group, the cut-off points were 38.69 and 40.55, respectively, with specificities of 0.74 and 0.92, and sensitivities of 0.73 and 0.86, respectively. In the FreeStyle Libre group, where the frequency of use was greater than or equal to five times per year, the hypoglycemic episodes (time/month) and CHFSII-B scores were significantly reduced at follow-up compared to baseline (7.80 ± 10.25 vs 13.95 ± 14.87; 27.37 ± 11.05 vs 38.90 ± 21.61, respectively, all P <0.05). Conclusion: The utilization of multiple Flash Glucose Monitoring (FGM) implementations proved to be valuable in discriminating the occurrence of hypoglycemia and mitigating the fear of hypoglycemic episodes in patients with type 1 diabetes. Within the parameters of Glucose Monitoring Systems (GMS), the glucose glycemic variability (GCV) was identified as a predictive factor for the risk of severe hypoglycemia (TBR > 12%). The optimal cut-off point for GCV was determined to be 40.55.

Indexed as

Blood GlucoseBlood Glucose Self-MonitoringDiabetes Mellitus, Type 1FearHypoglycemiaAdultFemaleFollow-Up StudiesHumansHypoglycemic AgentsMaleMiddle AgedQuality of LifeSurveys and QuestionnairesYoung AdultBlood GlucoseHypoglycemic Agentscontinuous glucose monitoring systemflash glucose monitoring systemglucose coefficient of variationhypoglycemiatype 1 diabetes

Identifiers

PMID39600943
PMCPMC11588456

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.