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Zhang L, Sun XX, Tian QS. Research progress on the association between glycemic variability index derived from CGM and cardiovascular disease complications. Acta Diabetol 2024; 61:679-692. [PMID: 38467807 DOI: 10.1007/s00592-024-02241-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Accepted: 01/13/2024] [Indexed: 03/13/2024]
Abstract
Currently, glycated hemoglobin A1c (HbA1c) has been widely used to assess the glycemic control of patients with diabetes. However, HbA1c has certain limitations in describing both short-term and long-term glycemic control. To more accurately evaluate the glycemic control of diabetes patients, the continuous glucose monitoring (CGM) technology has emerged. CGM technology can provide robust data on short-term glycemic control and introduce new monitoring parameters such as time in range, time above range, and time below range as indicators of glycemic fluctuation. These indicators are used to describe the changes in glycemic control after interventions in clinical research or treatment modifications in diabetes patient care. Recent studies both domestically and internationally have shown that these indicators are not only associated with microvascular complications of diabetes mellitus but also closely related to cardiovascular disease complications and prognosis. Therefore, this article aims to comprehensively review the association between CGM-based glycemic parameters and cardiovascular disease complications by analyzing a large number of domestic and international literature. The purpose is to provide scientific evidence and guidance for the standardized application of these indicators in clinical practice, in order to better evaluate the glycemic control of diabetes patients and prevent the occurrence of cardiovascular disease complications. This research will contribute to improving the quality of life for diabetes patients and provide important references for clinical decision-making.
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Affiliation(s)
- Lei Zhang
- The 1st Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330000, China
- Cardiovascular Medicine Department, The 1st Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330000, China
| | - Xiao-Xuan Sun
- School of Nursing, Jiangxi Medical College, Nanchang University, Nanchang, 330000, China.
- Nursing Department, The 1st Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330000, China.
| | - Qing-Shan Tian
- Cardiovascular Medicine Department, The 1st Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330000, China.
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Gad H, Elgassim E, Mohammed I, Yaser Alhaddad A, Ahmed Hussein Zaky Aly H, Cabibihan JJ, Al-Ali A, Kumar Sadasivuni K, Petropoulos IN, Ponirakis G, Abuhelaiqa W, Jayyousi A, AlMohanadi D, Baagar K, Malik RA. Cardiovascular autonomic neuropathy is associated with increased glycemic variability driven by hyperglycemia rather than hypoglycemia in patients with diabetes. Diabetes Res Clin Pract 2023; 200:110670. [PMID: 37169307 DOI: 10.1016/j.diabres.2023.110670] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 03/27/2023] [Accepted: 04/11/2023] [Indexed: 05/13/2023]
Abstract
AIM Cardiac autonomic neuropathy (CAN) has been suggested to be associated with hypoglycemia and impaired hypoglycemia unawareness. We have assessed the relationship between CAN and extensive measures of glucose variability (GV) in patients with type 1 and type 2 diabetes. METHODS Participants with diabetes underwent continuous glucose monitoring (CGM) to obtain measures of GV and the extent of hyperglycemia and hypoglycemia and cardiovascular autonomic reflex testing. RESULTS Of the 40 participants (20 T1DM and 20 T2DM) (aged 40.70±13.73 years, diabetes duration 14.43±7.35 years, HbA1c 8.85±1.70%), 23 (57.5%) had CAN. Despite a lower coefficient of variation (CV) (31.26±11.87 vs. 40.33±11.03, P=0.018), they had a higher CONGA (8.42±2.58 vs. 6.68±1.88, P=0.024) with a lower median LBGI (1.60 (range: 0.20-3.50) vs. 4.90 (range: 3.20-7.40), P=0.010) and percentage median time spent in hypoglycemia (4 (range:4-13) vs. 1 (range:0-5), P=0.008), compared to those without CAN. The percentage GRADEEuglycemia (3.30±2.78 vs. 5.69±3.09, P=0.017) and GRADEHypoglycemia (0.3 (range: 0 - 3.80) vs. 1.8 (range: 0.9-6.5), P=0.036) were significantly lower, while the percentage median GRADEHyperglycemia (95.45 (range:93-98) vs. 91.6 (82.8-95.1), P=0.013) was significantly higher in participants with CAN compared to those without CAN. CONCLUSION CAN was associated with increased glycemic variability with less time in euglycemia attributed to a greater time in hyperglycemia but not hypoglycemia.
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Affiliation(s)
- Hoda Gad
- Department of Medicine, Weill Cornell Medicine-Qatar, Doha, Qatar
| | - Einas Elgassim
- Department of Medicine, Weill Cornell Medicine-Qatar, Doha, Qatar
| | - Ibrahim Mohammed
- Department of Medicine, Weill Cornell Medicine-Qatar, Doha, Qatar; Internal Medicine, Albany Medical Center Hospital, Albany, New York, USA
| | - Ahmad Yaser Alhaddad
- Department of Mechanical and Industrial Engineering, Qatar University, Doha, Qatar
| | | | - John-John Cabibihan
- Department of Mechanical and Industrial Engineering, Qatar University, Doha, Qatar
| | - Abdulaziz Al-Ali
- KINDI Center for computing research, Qatar University, Doha, Qatar
| | | | | | | | | | - Amin Jayyousi
- Hamad Medical Corporation, National Diabetes Center, Doha, Qatar
| | - Dabia AlMohanadi
- Hamad Medical Corporation, National Diabetes Center, Doha, Qatar
| | - Khaled Baagar
- Hamad Medical Corporation, National Diabetes Center, Doha, Qatar
| | - Rayaz A Malik
- Department of Medicine, Weill Cornell Medicine-Qatar, Doha, Qatar; Institute of Cardiovascular Medicine, University of Manchester, Manchester, UK.
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