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Vlacho B, Bundó M, Llussà J, Real J, Mata-Cases M, Cos X, Tundidor D, Zaccardi F, Khunti K, Jude EB, Franch-Nadal J, Mauricio D. Diabetic foot disease carries an intrinsic high risk of mortality and other severe outcomes in type 2 diabetes: a propensity score-matched retrospective population-based study. Cardiovasc Diabetol 2024; 23:209. [PMID: 38898525 PMCID: PMC11188162 DOI: 10.1186/s12933-024-02303-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/11/2024] [Accepted: 06/13/2024] [Indexed: 06/21/2024] Open
Abstract
BACKGROUND To evaluate the association between diabetic foot disease (DFD) and the incidence of fatal and non-fatal events in individuals with type 2 diabetes (T2DM) from primary-care settings. METHODS We built a cohort of people with a first DFD episode during 2010-2015, followed up until 2018. These subjects were 1 to 1 propensity score matched to subjects with T2DM without DFD. The incidence of all-cause mortality, the occurrence of new DFD, amputations, cardiovascular diseases, or composite outcome, including all-cause mortality and/or cardiovascular events during the follow-up period, were calculated. A Cox proportional hazard analysis was conducted to evaluate the hazard ratios (HR) for different events. RESULTS Overall, 11,117 subjects with T2DM with a first episode of DFD were compared with subjects without DFD. We observed higher incidence rates (IRs) for composite outcome (33.9 vs. 14.5 IR per 100 person-years) and a new DFD episode event (22.2 vs. 1.1 IR per 100 person-years) in the DFD group. Compared to those without DFD, those with a first episode of DFD had a higher HR for all events, with excess rates particularly for amputation and new DFD occurrence (HR: 19.4, 95% CI: 16.7-22.6, HR: 15.1, 95% CI: 13.8-16.5, respectively) was found. CONCLUSIONS Although DFD often coexists with other risk factors, it carries an intrinsic high risk of morbidity and mortality in individuals with T2DM. DFD should be regarded as a severe complication already at its onset, as it carries a poor clinical prognosis.
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Affiliation(s)
- Bogdan Vlacho
- DAP-Cat Group, Unitat de Suport a la Recerca Barcelona Ciutat, Institut Universitari d'Investigació en Atenció Primària Jordi Gol (IDIAP Jordi Gol), Carrer Sardenya 375, Entresuelo, 08025, Barcelona, Spain
- CIBER of Diabetes and Associated Metabolic Diseases (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Barcelona, Spain
- Institut de Recerca Hospital de la Santa Creu i Sant Pau, Sant Quintí, 89, 08041, Barcelona, Spain
| | - Magdalena Bundó
- DAP-Cat Group, Unitat de Suport a la Recerca Barcelona Ciutat, Institut Universitari d'Investigació en Atenció Primària Jordi Gol (IDIAP Jordi Gol), Carrer Sardenya 375, Entresuelo, 08025, Barcelona, Spain
- Primary Health Care Center Ronda Prim, Gerència d'Àmbit d'Atenció Primària Metropolitana Nord de Barcelona, Institut Català de la Salut, Mataró, Spain
| | - Judit Llussà
- Primary Health Care Centre Sant Roc, Gerència d'Àmbit d'Atenció Primària Metropolitana Nord de Barcelona, Institut Català de la Salut, Mataró, Spain
| | - Jordi Real
- DAP-Cat Group, Unitat de Suport a la Recerca Barcelona Ciutat, Institut Universitari d'Investigació en Atenció Primària Jordi Gol (IDIAP Jordi Gol), Carrer Sardenya 375, Entresuelo, 08025, Barcelona, Spain
| | - Manel Mata-Cases
- DAP-Cat Group, Unitat de Suport a la Recerca Barcelona Ciutat, Institut Universitari d'Investigació en Atenció Primària Jordi Gol (IDIAP Jordi Gol), Carrer Sardenya 375, Entresuelo, 08025, Barcelona, Spain
- CIBER of Diabetes and Associated Metabolic Diseases (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Barcelona, Spain
- Primary Health Care Center La Mina, Gerència d'Àmbit d'Atenció Primària Barcelona Ciutat, Institut Català de la Salut, Sant Adrià de Besòs, Spain
| | - Xavier Cos
- DAP-Cat Group, Unitat de Suport a la Recerca Barcelona Ciutat, Institut Universitari d'Investigació en Atenció Primària Jordi Gol (IDIAP Jordi Gol), Carrer Sardenya 375, Entresuelo, 08025, Barcelona, Spain
- CIBER of Diabetes and Associated Metabolic Diseases (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Barcelona, Spain
- Primary Health Care Center Sant Martí de Provençals, Gerència d'Àmbit d'Atenció Primària Barcelona Ciutat, Institut Català de la Salut, Barcelona, Spain
- Innovation Office, Institut Català de la Salut, Barcelona, Spain
| | - Diana Tundidor
- Institut de Recerca Hospital de la Santa Creu i Sant Pau, Sant Quintí, 89, 08041, Barcelona, Spain
- Department of Endocrinology and Nutrition, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
| | - Francesco Zaccardi
- Leicester Diabetes Research Centre, University Hospital Leicester, Leicester General Hospital, Gwendolen Rd, Leicester, LE5 4PW, UK
- Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Gwendolen Rd, Leicester, LE5 4PW, UK
| | - Kamlesh Khunti
- Leicester Diabetes Research Centre, University Hospital Leicester, Leicester General Hospital, Gwendolen Rd, Leicester, LE5 4PW, UK
- Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Gwendolen Rd, Leicester, LE5 4PW, UK
| | - Edward B Jude
- Tameside and Glossop Integrated Care NHS Foundation Trust, Tameside on Lyne, UK
- University of Manchester, Manchester, UK
| | - Josep Franch-Nadal
- DAP-Cat Group, Unitat de Suport a la Recerca Barcelona Ciutat, Institut Universitari d'Investigació en Atenció Primària Jordi Gol (IDIAP Jordi Gol), Carrer Sardenya 375, Entresuelo, 08025, Barcelona, Spain.
- CIBER of Diabetes and Associated Metabolic Diseases (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Barcelona, Spain.
- Primary Health Care Center Raval Sud, Gerència d'Àmbit d'Atenció Primària Barcelona Ciutat, Institut Català de la Salut, Barcelona, Spain.
| | - Dídac Mauricio
- DAP-Cat Group, Unitat de Suport a la Recerca Barcelona Ciutat, Institut Universitari d'Investigació en Atenció Primària Jordi Gol (IDIAP Jordi Gol), Carrer Sardenya 375, Entresuelo, 08025, Barcelona, Spain.
- CIBER of Diabetes and Associated Metabolic Diseases (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Barcelona, Spain.
- Institut de Recerca Hospital de la Santa Creu i Sant Pau, Sant Quintí, 89, 08041, Barcelona, Spain.
- Department of Endocrinology and Nutrition, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain.
- Department of Medicine, University of Vic - Central University of Catalonia, Vic, Spain.
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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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Mo Y, Lu J, Zhou J. Glycemic variability: Measurement, target, impact on complications of diabetes and does it really matter? J Diabetes Investig 2024; 15:5-14. [PMID: 37988220 PMCID: PMC10759720 DOI: 10.1111/jdi.14112] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Revised: 11/05/2023] [Accepted: 11/08/2023] [Indexed: 11/23/2023] Open
Abstract
Over the past two decades, there has been continuous advancement in the accuracy and complexity of continuous glucose monitoring devices. Continuous glucose monitoring provides valuable insights into blood glucose dynamics, and can record glucose fluctuations accurately and completely. Glycemic variability (GV) is a straightforward measure of the extent to which a patient's blood glucose levels fluctuate between high peaks and low nadirs. Many studies have investigated the relationship between GV and complications, primarily in the context of type 2 diabetes. Nevertheless, the exact contribution of GV to the development of diabetes complications remains unclear. In this literature review, we aimed to summarize the existing evidence regarding the measurement, target level, pathophysiological mechanisms relating GV and tissue damage, and population-based studies of GV and diabetes complications. Additionally, we introduce novel methods for measuring GV, and discuss several unresolved issues of GV. In the future, more longitudinal studies and trials are required to confirm the exact role of GV in the development of diabetes complications.
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Affiliation(s)
- Yifei Mo
- Department of Endocrinology and MetabolismShanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes MellitusShanghaiChina
| | - Jingyi Lu
- Department of Endocrinology and MetabolismShanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes MellitusShanghaiChina
| | - Jian Zhou
- Department of Endocrinology and MetabolismShanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes MellitusShanghaiChina
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Yoshii H, Mita T, Katakami N, Okada Y, Osonoi T, Aso K, Kurozumi A, Wakasugi S, Sato F, Ishii R, Gosho M, Shimomura I, Watada H. The Importance of Continuous Glucose Monitoring-derived Metrics Beyond HbA1c for Optimal Individualized Glycemic Control. J Clin Endocrinol Metab 2022; 107:e3990-e4003. [PMID: 35908248 PMCID: PMC9516123 DOI: 10.1210/clinem/dgac459] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Indexed: 11/19/2022]
Abstract
CONTEXT Current guidelines recommend assessing glycemic control using continuous glucose monitoring (CGM) and hemoglobin A1c (HbA1c) measurement. OBJECTIVE This study aimed to clarify the characteristics of patients who might benefit from CGM metrics in addition to HbA1c monitoring. METHODS CGM metrics, specifically time in range (TIR), time below range (TBR), and time above range (TAR), were determined in 999 outpatients with type 2 diabetes and compared between HbA1c categories (HbA1c < 53 mmol/mol [7.0%, HbA1c < 53], HbA1c 53-63 mmol/mol [7.0-7.9%, HbA1c 53-63], HbA1c 64-74 mmol/mol [8.0-8.9%, HbA1c 64-74], and HbA1c ≥ 75 mmol/mol [9.0%, HbA1c ≥ 75]) and between patients with identical HbA1c categories who were stratified by age, types of antidiabetic agents, and renal function. RESULTS For HbA1c < 53 category, patients aged ≥ 65 years had a significantly higher nocturnal TBR than those aged < 65 years. For HbA1c < 53 and HbA1c 53-63 categories, patients receiving insulin and/or sulfonylureas had a significantly higher TAR and TBR, and a lower TIR than those not receiving these drugs, and for HbA1c 64-74 category, they had a significantly higher TBR. For HbA1c < 53, HbA1c 53-63, and HbA1c 64-74 categories, patients with an estimated glomerular filtration rate (eGFR) < 60 mL/min/1.73 m2 had a significantly higher TBR during some periods than those with an eGFR ≥ 60. CONCLUSION Higher HbA1c levels do not always protect against hypoglycemic episodes. Our data demonstrate that using CGM metrics to complement HbA1c monitoring is beneficial, especially in older people, users of insulin and/or sulfonylureas, and patients with chronic kidney disease.
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Affiliation(s)
- Hidenori Yoshii
- Department of Medicine, Diabetology & Endocrinology, Juntendo Tokyo Koto Geriatric Medical Center, Koto-ku, Tokyo 136-0075, Japan
| | - Tomoya Mita
- Correspondence: Tomoya Mita, MD, PhD, Department of Metabolism & Endocrinology, Juntendo University Graduate School of Medicine, Hongo 2-1-1, Bunkyo-ku, Tokyo 113-8421, Japan.
| | - Naoto Katakami
- Department of Metabolic Medicine, Osaka University Graduate School of Medicine, Osaka, 565-0871, Japan
| | - Yosuke Okada
- First Department of Internal Medicine, School of Medicine, University of Occupational and Environmental Health, Japan, Kitakyushu 807-8555, Japan
| | | | | | - Akira Kurozumi
- First Department of Internal Medicine, School of Medicine, University of Occupational and Environmental Health, Japan, Kitakyushu 807-8555, Japan
| | - Satomi Wakasugi
- Department of Metabolism & Endocrinology, Juntendo University Graduate School of Medicine, Tokyo, 113-8421, Japan
| | - Fumiya Sato
- Department of Metabolism & Endocrinology, Juntendo University Graduate School of Medicine, Tokyo, 113-8421, Japan
| | - Ryota Ishii
- Department of Biostatistics, Faculty of Medicine, University of Tsukuba, Ibaraki 305-8575, Japan
| | - Masahiko Gosho
- Department of Biostatistics, Faculty of Medicine, University of Tsukuba, Ibaraki 305-8575, Japan
| | - Iichiro Shimomura
- Department of Metabolic Medicine, Osaka University Graduate School of Medicine, Osaka, 565-0871, Japan
| | - Hirotaka Watada
- Department of Metabolism & Endocrinology, Juntendo University Graduate School of Medicine, Tokyo, 113-8421, Japan
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