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BAI Q, XU J, ZHU W, HUANG C, NI X, ZHAO H, FENG X, LI L, DU S, FAN R, WANG J. Effects of consumption of a low glycaemic index formula on glycaemic control in patients with type 2 diabetes managed by medical nutrition therapy. FOOD SCIENCE AND TECHNOLOGY 2021. [DOI: 10.1590/fst.51320] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Affiliation(s)
| | - Jing XU
- Army Medical University, China
| | | | | | | | | | | | - Li LI
- Army Medical University, China
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2
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Ferrario L, Schettini F, Avogaro A, Bellia C, Bertuzzi F, Bonetti G, Ceriello A, Ciaccio M, Corsi Romanelli M, Dozio E, Falqui L, Girelli A, Nicolucci A, Perseghin G, Plebani M, Valentini U, Zaninotto M, Castaldi S, Foglia E. Glycated Albumin for Glycemic Control in T2DM Population: A Multi-Dimensional Evaluation. CLINICOECONOMICS AND OUTCOMES RESEARCH 2021; 13:453-464. [PMID: 34079308 PMCID: PMC8166313 DOI: 10.2147/ceor.s304868] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Accepted: 04/23/2021] [Indexed: 12/16/2022] Open
Abstract
Purpose To investigate the glycated albumin (GA) introduction implications, as an add-on strategy to traditional glycemic control (Hb1Ac and fasting plasma glucose – FPG) instruments, considering insulin-naïve individuals with type 2 diabetes mellitus (T2DM), treated with oral therapies. Methods A Health Technology Assessment was conducted in Italy, as a multi-dimensional approach useful to validate any innovative technology. The HTA dimensions, derived from the EUnetHTA Core Model, were deployed by means of literature evidence, health economics tools and qualitative questionnaires, filled-in by 15 professionals. Results Literature stated that the GA introduction could lead to a higher number of individuals achieving therapeutic success after 3 months of therapy (97.0% vs 71.6% without GA). From an economic point of view, considering a projection of 1,955,447 T2DM insulin-naïve individuals, potentially treated with oral therapy, GA introduction would imply fewer individuals requiring a therapy switch (−89.44%), with a 1.06% in costs reduction, on annual basis, thus being also the preferable solution from a cost-effectiveness perspective (cost-effectiveness value: 237.74 vs 325.53). According to experts opinions, lower perceptions on GA emerged with regard to equity aspects (0.13 vs 0.72, p-value>0.05), whereas it would improve both individuals (2.17 vs 1.33, p-value=0.000) and caregivers quality of life (1.50 vs 0.83, p-value=0.000). Even if in the short term, GA required additional investments in training courses (−0.80 vs 0.10, p-value = 0.036), in the long run, GA could become the preferable technology (0.30 vs 0.01, p-value=0.018) from an organisational perspective. Conclusion Adding GA to traditional glycaemic control instruments could improve the clinical pathway of individuals with T2DM, leading to economic and organisational advantages for both hospitals and National Healthcare Systems.
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Affiliation(s)
- Lucrezia Ferrario
- Centre for Health Economics, Social and Health Care Management, Università Carlo Cattaneo - LIUC, Castellanza, Italy
| | - Fabrizio Schettini
- Centre for Health Economics, Social and Health Care Management, Università Carlo Cattaneo - LIUC, Castellanza, Italy
| | - Angelo Avogaro
- Department of Medicine, University-Hospital of Padova, Padova, Italy
| | - Chiara Bellia
- Section of Clinical Biochemistry and Clinical Molecular Medicine, Department of Biopathology and Medical Biotechnologies, University of Palermo, Palermo, Italy
| | - Federico Bertuzzi
- Diabetology Unit, Grande Ospedale Metropolitano Niguarda Hospital, Milan, Italy
| | | | - Antonio Ceriello
- Department of Cardiovascular and Metabolic Diseases, Multimedica Research Institute, Milan, Italy
| | - Marcello Ciaccio
- Section of Clinical Biochemistry and Clinical Molecular Medicine, Department of Biopathology and Medical Biotechnologies, University of Palermo, Palermo, Italy.,Department of Laboratory Medicine, University-Hospital of Palermo, Palermo, Italy
| | - Massimiliano Corsi Romanelli
- Service of Laboratory Medicine 1-Clinical Pathology, Policlinico San Donato, Milan, Italy.,Department of Biomedical Sciences for Health, Università degli Studi di Milano, Milan, Italy
| | - Elena Dozio
- Department of Biomedical Sciences for Health, Università degli Studi di Milano, Milan, Italy
| | - Luca Falqui
- Department of Medicine, Diabetes and Endocrinology, Multimedica Research Institute, Milan, Italy
| | - Angela Girelli
- Diabetes Care Unit, Spedali Civili Hospital, Brescia, Italy
| | - Antonio Nicolucci
- Center for Outcomes Research and Clinical Epidemiology, Pescara, Italy
| | - Gianluca Perseghin
- Department of Medicine and Surgery, Università degli Studi di Milano Bicocca, Milan, Italy.,Department of Medicine and Rehabilitation, Unit of Metabolic Medicine, Policlinico di Monza, Monza, Italy
| | - Mario Plebani
- Department of Laboratory Medicine, University-Hospital of Padova, Padova, Italy
| | | | - Martina Zaninotto
- Department of Laboratory Medicine, University-Hospital of Padova, Padova, Italy
| | - Silvana Castaldi
- Department of Biomedical Sciences for Health, Università degli Studi di Milano, Milan, Italy.,Fondazione Ca' Granda Ospedale Maggiore Policlinico Research Institute of Milano, Milano, Italy
| | - Emanuela Foglia
- Centre for Health Economics, Social and Health Care Management, Università Carlo Cattaneo - LIUC, Castellanza, Italy
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Feskens E, Brennan L, Dussort P, Flourakis M, Lindner LME, Mela D, Rabbani N, Rathmann W, Respondek F, Stehouwer C, Theis S, Thornalley P, Vinoy S. Potential Markers of Dietary Glycemic Exposures for Sustained Dietary Interventions in Populations without Diabetes. Adv Nutr 2020; 11:1221-1236. [PMID: 32449931 PMCID: PMC7490172 DOI: 10.1093/advances/nmaa058] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2020] [Revised: 03/23/2020] [Accepted: 04/28/2020] [Indexed: 12/15/2022] Open
Abstract
There is considerable interest in dietary and other approaches to maintaining blood glucose concentrations within the normal range and minimizing exposure to postprandial hyperglycemic excursions. The accepted marker to evaluate the sustained maintenance of normal blood glucose concentrations is glycated hemoglobin A1c (HbA1c). However, although this is used in clinical practice to monitor glycemic control in patients with diabetes, it has a number of drawbacks as a marker of efficacy of dietary interventions that might beneficially affect glycemic control in people without diabetes. Other markers that reflect shorter-term glycemic exposures have been studied and proposed, but consensus on the use and relevance of these markers is lacking. We have carried out a systematic search for studies that have tested the responsiveness of 6 possible alternatives to HbA1c as markers of sustained variation in glycemic exposures and thus their potential applicability for use in dietary intervention trials in subjects without diabetes: 1,5-anhydroglucitol (1,5-AG), dicarbonyl stress, fructosamine, glycated albumin (GA), advanced glycated end products (AGEs), and metabolomic profiles. The results suggest that GA may be the most promising for this purpose, but values may be confounded by effects of fat mass. 1,5-AG and fructosamine are probably not sensitive enough to the range of variation in glycemic exposures observed in healthy individuals. Use of measures based on dicarbonyls, AGEs, or metabolomic profiles would require further research into possible specific molecular species of interest. At present, none of the markers considered here is sufficiently validated and sensitive for routine use in substantiating the effects of sustained variation in dietary glycemic exposures in people without diabetes.
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Affiliation(s)
- Edith Feskens
- Department of Agrotechnology and Food Sciences, Wageningen University, Wageningen, The Netherlands
| | - Lorraine Brennan
- Institute of Food and Health, School of Agriculture and Food Science, University College Dublin, Dublin, Republic of Ireland
| | - Pierre Dussort
- International Life Sciences Institute-ILSI Europe a.i.s.b.l., Brussels, Belgium
| | - Matthieu Flourakis
- International Life Sciences Institute-ILSI Europe a.i.s.b.l., Brussels, Belgium,Address correspondence to MF (e-mail: )
| | - Lena M E Lindner
- Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany,German Center for Diabetes Research , Munich, Germany
| | | | - Naila Rabbani
- Department of Basic Medical Sciences, College of Medicine, Qatar University Health, Qatar University, Doha, Qatar,Clinical Sciences Research Laboratories, University of Warwick, Coventry, United Kingdom
| | - Wolfgang Rathmann
- Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany,German Center for Diabetes Research , Munich, Germany
| | | | - Coen Stehouwer
- Department of Internal Medicine, Maastricht University Medical Center, Maastricht, The Netherlands,School for Cardiovascular Diseases (CARIM), Maastricht University Medical Center, Maastricht, The Netherlands
| | | | - Paul Thornalley
- Clinical Sciences Research Laboratories, University of Warwick, Coventry, United Kingdom,Diabetes Research Center, Qatar Biomedical Research Institute (QBRI), Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar
| | - Sophie Vinoy
- Nutrition Department, Mondelez Int R&D, Saclay, France
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Bellia C, Cosma C, Lo Sasso B, Bivona G, Agnello L, Zaninotto M, Ciaccio M. Glycated albumin as a glycaemic marker in patients with advanced chronic kidney disease and anaemia: a preliminary report. Scandinavian Journal of Clinical and Laboratory Investigation 2019; 79:293-297. [PMID: 31070491 DOI: 10.1080/00365513.2019.1613673] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Background: The association between glycated albumin (GA) and glycaemic status has not been fully described in patients with advanced chronic kidney disease (CKD) in relation to anaemia. The aim of this study was to evaluate the relationship between GA and fasting plasma glucose (FPG) and HbA1c in patients with advanced CKD and to evaluate the influence of anaemia in such relationship. Materials and methods: Patients with CKD stage 4 or 5 were included in the study. eGFR was calculated by the CKD-EPI creatinine equation. Plasma GA was measured by an enzymatic method. Results: Eighty-one patients were included in the study, 46 (57%) were males; the mean age was 67 ± 14 years. HbA1c was correlated with Hb (r = 0.39; p = .0003), and no significant correlation was detected between plasma GA and serum albumin (p = .82). A significant association between FPG and GA (r2 = 0.41; p < .0001), and between FPG and HbA1c (r2 = 0.42; p < .0001) was detected in the whole study population. Patients with moderate/severe anaemia had lower HbA1c than patients with no anaemia, while both FPG and GA were comparable between the two groups. Multivariate regression analysis showed that GA was a significant predictor of FPG in patients with moderate/severe anaemia while HbA1c did not (r2 = 0.55; p < .0001 for the model). Conclusions: GA, alone or in combination with other biomarkers, can be considered for the evaluation of glycaemic status in patients with advanced CKD and severe anaemia.
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Affiliation(s)
- Chiara Bellia
- a Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo , Palermo , Italy
| | - Chiara Cosma
- b Department of Laboratory Medicine, University-Hospital , Padova , Italy
| | - Bruna Lo Sasso
- a Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo , Palermo , Italy
| | - Giulia Bivona
- a Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo , Palermo , Italy
| | - Luisa Agnello
- a Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo , Palermo , Italy
| | - Martina Zaninotto
- b Department of Laboratory Medicine, University-Hospital , Padova , Italy
| | - Marcello Ciaccio
- a Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo , Palermo , Italy.,c Department of Laboratory Medicine, University-Hospital , Palermo , Italy
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Ahn J, Raspovic KM, Liu GT, Lavery LA, La Fontaine J, Nakonezny PA, Wukich DK. Lower Extremity Necrotizing Fasciitis in Diabetic and Nondiabetic Patients: Mortality and Amputation. INT J LOW EXTR WOUND 2019; 18:114-121. [DOI: 10.1177/1534734619836464] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Lower extremity necrotizing fasciitis (NF) is a severe infection requiring immediate surgery. The aim of this study was to assess patient factors predictive of amputation and mortality in diabetes mellitus (DM) and non-DM patients with lower extremity NF. The American College of Surgeons-National Surgical Quality Improvement Program (ACS-NSQIP) database was reviewed retrospectively. Out of 674 patients with lower extremity NF, 387 had DM (57.4%). Patients with DM had lower mortality ( P = .004). Increased mortality was independently associated with age >60 years (adjusted odds ratio [aOR] = 3.96, 95% confidence interval [CI] = 1.69-9.77), partial thromboplastin time >38 seconds (aOR = 2.66, 95% CI = 1.09-6.62), albumin <2.0 mg/dL (aOR = 2.84, 95% CI = 1.13-7.37), coagulopathy (aOR = 3.29, 95% CI = 1.24-9.19), higher anesthesia risk category (aOR = 3.08, 95% CI = 1.18, 8.59), chronic obstructive pulmonary disease (aOR = 3.46, 95% CI = 1.13-10.9), postoperative acute respiratory distress syndrome (aOR = 5.24, 95% CI = 2.04-14.4), and postoperative septic shock (aOR = 5.14, 95% CI = 1.94-14.1). Amputation was independently associated with DM (aOR = 4.35, 95% CI = 2.63-7.35) but not mortality. Although DM was associated with more amputations for lower extremity NF, patients with DM had lower mortality than non-DM patients in the bivariate analysis. Further research is needed to investigate outcomes among DM and non-DM patients in the context of lower extremity NF.
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Affiliation(s)
- Junho Ahn
- University of Texas Southwestern Medical Center, Dallas, TX, USA
| | | | - George T. Liu
- University of Texas Southwestern Medical Center, Dallas, TX, USA
| | | | | | | | - Dane K. Wukich
- University of Texas Southwestern Medical Center, Dallas, TX, USA
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Raghav A, Ahmad J, Noor S, Alam K, Mishra BK. Glycated albumin and the risk of chronic kidney disease in subjects with Type 2 Diabetes: A study in North Indian Population. Diabetes Metab Syndr 2018; 12:381-385. [PMID: 29396252 DOI: 10.1016/j.dsx.2018.01.005] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2017] [Accepted: 01/24/2018] [Indexed: 12/15/2022]
Abstract
AIM Glycated albumin (GA) suggested being alternative glycemic marker than haemoglobin A1C (HbA1c) in patients with chronic kidney diseases (CKD). We investigated the association between GA and the progression of diabetic nephropathy (DN) in T2DM subjects. METHODS We recruited T2DM subjects with different stages of CKD who had regularly measured serum creatinine and estimated glomerular filtration rates (eGFR) according to Kidney Disease Outcomes Quality Initiative (KDOQI) guidelines, HbA1c consecutively every 3 months along with GA levels and other anthropometric and demographic measurements. We grouped age and sex matched subjects into the CKD progression, Group I healthy subjects (n = 100, M: F;50:50). Group II T2DM subjects with eGFR ≥90 mL/min (n = 167, M:F; 76:91). Group III of T2DM patients with eGFR 60-89 mL/min (n = 91, M:F; 44:47). Group IV T2DM subjects with eGFR 30-59 mL/min (n = 68, M:F;31:37). Group V T2DM with eGFR ≤ 29 mL/min (n = 21, M:F; 13:8). RESULTS Pearson's correlation analysis between glycated albumin and biochemical parameters were established in all subjects. GA/HbA1c ratio increases with poor glycemic control except for nephrosis state. CONCLUSION Mean GA levels were more closely associated with DN progression than mean HbA1c in subjects with T2DM and can be implemented as an alternative diagnostic marker in nephropathy.
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Affiliation(s)
- Alok Raghav
- Rajiv Gandhi Centre for Diabetes and Endocrinology, Aligarh Muslim University, Aligarh, India
| | - Jamal Ahmad
- Rajiv Gandhi Centre for Diabetes & Endocrinology, J.N Medical College, Aligarh Muslim University, Aligarh, India.
| | - Saba Noor
- Rajiv Gandhi Centre for Diabetes & Endocrinology, J.N Medical College, Aligarh Muslim University, Aligarh, India
| | - Khursheed Alam
- Department of Biochemistry, Faculty of Medicine, J.N Medical College, Aligarh Muslim University, Aligarh, India
| | - Brijesh Kumar Mishra
- Department of Endocrinology and Metabolism, Guru Teg Bahadur Hospital, Dilshad Garden, New Delhi, Delhi, 110095, India
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Raghav A, Ahmad J. Glycated albumin in chronic kidney disease: Pathophysiologic connections. Diabetes Metab Syndr 2018; 12:463-468. [PMID: 29396251 DOI: 10.1016/j.dsx.2018.01.002] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2017] [Accepted: 01/24/2018] [Indexed: 12/15/2022]
Abstract
Nephropathy in diabetes patients is the most common etiology of end-stage kidney disease (ESKD). Strict glycemic control reduces the development and progression of diabetes-related complications, and there is evidence that improved metabolic control improves outcomes in subjects having diabetes mellitus with advanced chronic kidney disease (CKD). Glycemic control in people with kidney disease is complex. Changes in glucose and insulin homoeostasis may occur as a consequence of loss of kidney function and dialysis. The reliability of measures of long-term glycemic control is affected by CKD and the accuracy of glycated haemoglobin (HbA1c) in the setting of CKD and ESKD is questioned. Despite the altered character of diabetes in CKD, current guidelines for diabetes management are not specifically adjusted for this patient group. The validity of indicators of long-term glycemic control has been the focus of increased recent research. This review discusses the current understanding of commonly used indicators of metabolic control (HbA1c, fructosamine, glycated albumin) in the setting of advanced CKD.
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Affiliation(s)
- Alok Raghav
- Rajiv Gandhi Centre for Diabetes and Endocrinology, Aligarh Muslim University, Aligarh, India
| | - Jamal Ahmad
- Rajiv Gandhi Centre for Diabetes & Endocrinology, J.N Medical College, Aligarh Muslim University, Aligarh, 202002, India.
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Lu JM, Ji LN, Li YF, Li QM, Lin SS, Lv XF, Wang L, Xu Y, Guo XH, Guo QY, Ma L, Du J, Chen YL, Zhao CL, Zhang QL, She QM, Jiao XM, Lu MH, Pan RQ, Gao Y. Glycated albumin is superior to glycated hemoglobin for glycemic control assessment at an early stage of diabetes treatment: A multicenter, prospective study. J Diabetes Complications 2016; 30:1609-1613. [PMID: 27496253 DOI: 10.1016/j.jdiacomp.2016.07.007] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/27/2015] [Revised: 06/26/2016] [Accepted: 07/13/2016] [Indexed: 01/08/2023]
Abstract
AIMS This study was to determine whether serum glycated albumin (GA) was a better indicator of glycemic control than hemoglobin A1c (HbA1c) when starting a new treatment regimen for type 2 diabetes. METHODS Newly diagnosed type 2 diabetes patients, or patients who had poor glycemic control with oral hypoglycemic agents, were enrolled at 10 hospitals in Beijing. Serum GA, HbA1c, fasting blood glucose (FBG), and C-peptide were assayed on Days 0, 14, 28, and 91 after treatment. RESULTS Four hundred ninety-nine patients were enrolled. Mean FBG, GA and HbA1c decreased significantly in patients at Days 14, 28, and 91. In patients with improved glycemic control, the reduction of GA and HbA1c levels was 10.5±13.3% vs. 5.1±5.4% on Day 14, 16.0±13.4% vs. 9.0±7.0% on Day 28, and 18.0±16.7% vs. 18.3±9.4% on Day 91, respectively, compared with baseline values. Changes in GA on Day 14, 28 and 91 were all closely correlated with changes in HbA1c on Day 91. Change in GA on Day 14 was correlated with treatment effectiveness evaluated by HbA1c on Day 91. CONCLUSIONS GA may be a useful marker for assessing glycemic control at an early stage of new diabetes treatment and assist in guiding adjustments to treatment and therapy.
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Affiliation(s)
- Ju-Ming Lu
- Department of Endocrinology, Chinese PLA General Hospital, Beijing, 100853, China.
| | - Li-Nong Ji
- Department of Endocrinology, Beijing, Peking University People's Hospital, Beijing 100035, China.
| | - Yu-Feng Li
- Department of Endocrinology, Beijing, Pinggu Hospital, Beijing, 101200, China
| | - Quan-Min Li
- Department of Endocrinology, Beijing, The Second Artillery General Hospital of PLA, 100088, China
| | - Shan-Shan Lin
- Department of Endocrinology, Beijing, Beijing, Shijingshan Hospital, 100049, China
| | - Xiao-Feng Lv
- Department of Endocrinology, General Hospital of Beijing Military Command, Beijing, 100010, China
| | - Li Wang
- Department of Endocrinology, Xuanwu Hospital of Capital Medical University, Beijing, 100053, China
| | - Yuan Xu
- Department of Endocrinology, Beijing Chaoyang Hospital of Capital Medical University, Beijing, 100023, China
| | - Xiao-Hui Guo
- Department of Endocrinology, Peking University First Hospital, Beijing, 100034, China
| | - Qi-Yu Guo
- Department of Endocrinology, Navy General Hospital, Beijing, 100048, China
| | - Li Ma
- Department of Endocrinology, Guang An Men Hospital, China Academy of Chinese Medical Science, Beijing, 102600, China
| | - Jin Du
- Department of Endocrinology, Chinese PLA General Hospital, Beijing, 100853, China
| | - Ying-Li Chen
- Department of Endocrinology, Beijing, Peking University People's Hospital, Beijing 100035, China
| | - Cui-Ling Zhao
- Department of Endocrinology, Beijing, Pinggu Hospital, Beijing, 101200, China
| | - Qiu-Lan Zhang
- Department of Endocrinology, Beijing, The Second Artillery General Hospital of PLA, 100088, China
| | - Qi-Mei She
- Department of Endocrinology, Beijing, Beijing, Shijingshan Hospital, 100049, China
| | - Xiu-Min Jiao
- Department of Endocrinology, General Hospital of Beijing Military Command, Beijing, 100010, China
| | - Mei-Hua Lu
- Department of Endocrinology, Xuanwu Hospital of Capital Medical University, Beijing, 100053, China
| | - Rong-Qing Pan
- Department of Endocrinology, Beijing Chaoyang Hospital of Capital Medical University, Beijing, 100023, China
| | - Ying Gao
- Department of Endocrinology, Peking University First Hospital, Beijing, 100034, China
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Danese E, Montagnana M, Nouvenne A, Lippi G. Advantages and pitfalls of fructosamine and glycated albumin in the diagnosis and treatment of diabetes. J Diabetes Sci Technol 2015; 9:169-76. [PMID: 25591856 PMCID: PMC4604592 DOI: 10.1177/1932296814567227] [Citation(s) in RCA: 122] [Impact Index Per Article: 12.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
The efficient diagnosis and accurate monitoring of diabetic patients are cornerstones for reducing the risk of diabetic complications. The current diagnostic and prognostic strategies in diabetes are mainly based on two tests, plasma (or capillary) glucose and glycated hemoglobin (HbA1c). Nevertheless, these measures are not foolproof, and their clinical usefulness is biased by a number of clinical and analytical factors. The introduction of other indices of glucose homeostasis in clinical practice such as fructosamine and glycated albumin (GA) may be regarded as an attractive alternative, especially in patients in whom the measurement of HbA1c may be biased or even unreliable. These include patients with rapid changes of glucose homeostasis and larger glycemic excursions, and patients with red blood cell disorders and renal disease. According to available evidence, the overall diagnostic efficiency of GA seems superior to that of fructosamine throughout a broad range of clinical settings. The current method for measuring GA is also better standardized and less vulnerable to preanalytical variables than those used for assessing fructosamine. Additional advantages of GA over HbA1c are represented by lower reagent cost and being able to automate the GA analysis on many conventional laboratory instruments. Although further studies are needed to definitely establish that GA can complement or even replace conventional measures of glycemic control such as HbA1c, GA may help the clinical management of patients with diabetes in whom HbA1c values might be unreliable.
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Affiliation(s)
- Elisa Danese
- Department of Life and Reproduction Sciences, Laboratory of Clinical Biochemistry, University of Verona, Verona, Italy
| | - Martina Montagnana
- Department of Life and Reproduction Sciences, Laboratory of Clinical Biochemistry, University of Verona, Verona, Italy
| | - Antonio Nouvenne
- Department of Clinical and Experimental Medicine, University of Parma, Parma, Italy
| | - Giuseppe Lippi
- Laboratory of Clinical Chemistry and Hematology, Academic Hospital of Parma, Parma, Italy
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Hwang YC, Jung CH, Ahn HY, Jeon WS, Jin SM, Woo JT, Cha BS, Kim JH, Park CY, Lee BW. Optimal glycated albumin cutoff value to diagnose diabetes in Korean adults: a retrospective study based on the oral glucose tolerance test. Clin Chim Acta 2014; 437:1-5. [PMID: 25007953 DOI: 10.1016/j.cca.2014.06.027] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2014] [Revised: 06/27/2014] [Accepted: 06/27/2014] [Indexed: 12/13/2022]
Abstract
INTRODUCTION Glycated albumin (GA) reflects short-term status of glycemic control. We suggest a GA cut-off value to diagnose pre-diabetes and diabetes in Korean adults. In addition, we compared the performance of GA for the diagnosis of diabetes with that of glycated hemoglobin (A1c). MATERIALS AND METHODS A total of 852 subjects (498 males, 354 females) aged 20 to 83years (mean: 52.5years) were enrolled. A 75-g oral glucose tolerance test (OGTT) was performed and A1c and GA were measured. RESULTS In these enrolled subjects, 88% have glucose intolerance status (pre-diabetes or diabetes). The GA concentrations corresponding to fasting plasma glucose (FPG) of 7.0mmol/l, 2-h plasma glucose during OGTT (PPG2)≥11.1mmol/l, and A1c≥6.5% were 14.6%, 13.7%, and 14.7%, respectively. A meta-analysis of three GA cutoffs revealed a GA cutoff for diabetes of 14.3%. When A1c is used in combination with FPG, the sensitivity and specificity for the diagnosis of OGTT-based diabetes were 72.16% (95% CI: 66.6-72.2) and 96.4% (95% CI: 94.4-97.7), respectively. With the newly developed GA cutoff of 14.3%, GA combined with FPG resulted in a sensitivity and specificity of 77.5% (95% CI: 72.17-82.0) and 89.9% (95% CI: 87.1-92.2), respectively. CONCLUSIONS A GA cutoff of >14.3% is optimal for the diagnosis of diabetes in Korean adults. The measurement of FPG and GA may detect diabetes earlier than the measurement of FPG and A1c.
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Affiliation(s)
- You-Cheol Hwang
- Division of Endocrinology and Metabolism, Department of Medicine, Kyung Hee University School of Medicine, Seoul, Republic of Korea
| | - Chang Hee Jung
- Department of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Hong-Yup Ahn
- Department of Statistics, Dongguk University, Seoul, Republic of Korea
| | - Won Seon Jeon
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Sungkyunkwan University School of Medicine, Kangbuk Samsung Hospital, Seoul, Republic of Korea
| | - Sang-Man Jin
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Jeong-Taek Woo
- Division of Endocrinology and Metabolism, Department of Medicine, Kyung Hee University School of Medicine, Seoul, Republic of Korea
| | - Bong Soo Cha
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Jae Hyeon Kim
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Cheol-Young Park
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Sungkyunkwan University School of Medicine, Kangbuk Samsung Hospital, Seoul, Republic of Korea.
| | - Byung-Wan Lee
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
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The relationship between BMI and glycated albumin to glycated hemoglobin (GA/A1c) ratio according to glucose tolerance status. PLoS One 2014; 9:e89478. [PMID: 24586809 PMCID: PMC3938490 DOI: 10.1371/journal.pone.0089478] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2013] [Accepted: 01/21/2014] [Indexed: 01/22/2023] Open
Abstract
Glycated albumin to glycated hemoglobin (GA/A1c) ratio is known to be inversely related with body mass index (BMI) and insulin secretory capacity. However, the reasons for this association remain unknown. We aimed to investigate whether BMI directly or indirectly influences GA/A1c by exerting effects on insulin secretion or resistance and to confirm whether these associations differ according to glucose tolerance status. We analyzed a total of 807 subjects [242 drug-naïve type 2 diabetes (T2D), 378 prediabetes, and 187 normal glucose tolerance (NGT)]. To assess the direct and indirect effects of BMI on GA/A1c ratio, structural equation modeling (SEM) was performed. GA/A1c ratio was set as a dependent variable, BMI was used as the independent variable, and homeostasis model assessment-pancreatic beta-cell function (HOMA-β), homeostasis model assessment-insulin resistance (HOMA-IR), glucose level were used as mediator variables. The estimates of a direct effect of BMI on GA/A1c to be the strongest in NGT and weakest in T2D (−0.375 in NGT, −0.244 in prediabetes, and −0.189 in T2D). Conversely, the indirect effect of BMI on GA/A1c exerted through HOMA-β and HOMA-IR was not statistically significant in NGT group, but significant in prediabetes and T2D groups (0.089 in prediabetes, −0.003 in T2D). It was found that HOMA-β or HOMA-IR indirectly influences GA/A1c in T2D and prediabetes group through affecting fasting and postprandial glucose level. The relationship between GA/A1c and BMI is due to the direct effect of BMI on GA/A1c in NGT group, while in T2D and prediabetes groups, this association is mostly a result of BMI influencing blood glucose through insulin resistance or secretion.
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Abstract
The conventional glycemic indices used in management of diabetic patients includes A1c, fructosamine, 1,5-anhydroglucitol, and glycated albumin (GA). Among these indices, A1c is currently used as the gold standard. However, A1c cannot reflect the glycemic change over a relatively short period of time, and its accuracy is known to decrease when abnormalities in hemoglobin metabolism, such as anemia, coexist. When considering these weaknesses, there have been needs for finding a novel glycemic index for diagnosing and managing diabetes, as well as for predicting diabetic complications properly. Recently, several studies have suggested the potential of GA as an intermediate-term glycation index in covering the short-term effect of treatment. Furthermore, its role as a pathogenic protein affecting the worsening of diabetes and occurrence of diabetic complications is receiving attention as well. Therefore, in this article, we wanted to review the recent status of GA as a glycemic index and as a pathogenic protein.
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Affiliation(s)
- Kwang Joon Kim
- Severance Executive Healthcare Clinic, Yonsei University Health System, Seoul, Korea
- Division of Endocrinology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea
| | - Byung-Wan Lee
- Division of Endocrinology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea
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