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Borai A, Ichihara K, Bahijri S, Alsofyani A, Elsayid M, Husain H, Boraie S, Sannan N, Kalantan Z, Jan M, Gassas M, Harbi M, Alrowaili N, Almohammadi M, Zarif H, Qurashi M. Establishment of reference interval for hemoglobin A1C and other hemoglobin subfractions for healthy Saudi adults. PLoS One 2024; 19:e0300028. [PMID: 38527010 PMCID: PMC10962850 DOI: 10.1371/journal.pone.0300028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Accepted: 02/20/2024] [Indexed: 03/27/2024] Open
Abstract
BACKGROUND The establishment of Reference Intervals (RIs) for Hemoglobin A1C and other hemoglobin subfractions (A1A, A1B, F, LA1C, A0) is of utmost importance in screening, diagnosing, and monitoring diabetes and other hemoglobin abnormalities through the application of high-pressure liquid chromatography (HPLC) technique. Because there are no locally established RIs for these parameters, it is essential to establish RIs specific to the Saudi population to accurately diagnose and monitor diabetic individuals and identify abnormal levels in hemoglobin subfractions. METHODS As part of the IFCC global multicenter study of laboratory reference values, a cross-sectional study was conducted in Saudi Arabia. The study involved recruiting a total of 381 healthy adult subjects (>18 years, BMI 28.3 ± 6 kg/m2). Blood samples were analyzed for A1C, biochemical and other immunoassay parameters. The need for RIs based on sex, age, and BMI was determined using the standard deviation ratio (SDR) through a 3-level nested ANOVA. RESULTS Based on the threshold of SDR≥0.4, RIs for A1C and other Hb subfractions were not partitioned by sex or BMI, but partitioned by age (<45 & ≥45 years) for A1C, LA1C, A0 and F. Spearman's correlation between glucose, insulin, and C-peptide showed a positive association with different hemoglobin subtractions of A1B, F, A1C, and LA1C. The RIs were obtained by using the parametric method and the latent abnormal values exclusion (LAVE) principle was applied on A1C. CONCLUSION This study established RIs for A1C and other Hb subfractions for healthy adult Saudis. Age was found to be an important source of variation for most of the parameters including A1C. These findings will enhance the understanding and clinical decision-making concerning A1C and other hemoglobin subfractions. The elevated upper limit of RIs for A1C reflects the high prevalence of diabetes in the Saudi population specially in those with increased age.
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Affiliation(s)
- Anwar Borai
- King Abdullah International Medical Research Center (KAIMRC), King Saud bin Abdulaziz University for Health Sciences (KSAU-HS), King Abdulaziz Medical City, Ministry of National Guard Health Affairs, Saudi Arabia
| | - Kiyoshi Ichihara
- Faculty of Health Sciences, Yamaguchi University Graduate School of Medicine, Ube, Japan
| | - Suhad Bahijri
- Department of Clinical Biochemistry–Faculty of Medicine- King Abdulaziz University, Jeddah, Saudi Arabia
| | - Abeer Alsofyani
- King Abdullah International Medical Research Center (KAIMRC), King Saud bin Abdulaziz University for Health Sciences (KSAU-HS), King Abdulaziz Medical City, Ministry of National Guard Health Affairs, Saudi Arabia
| | - Mohieldin Elsayid
- King Abdullah International Medical Research Center (KAIMRC), King Saud bin Abdulaziz University for Health Sciences (KSAU-HS), King Abdulaziz Medical City, Ministry of National Guard Health Affairs, Saudi Arabia
| | - Haitham Husain
- King Abdullah International Medical Research Center (KAIMRC), King Saud bin Abdulaziz University for Health Sciences (KSAU-HS), King Abdulaziz Medical City, Ministry of National Guard Health Affairs, Saudi Arabia
| | - Sultanah Boraie
- King Abdullah International Medical Research Center (KAIMRC), King Saud bin Abdulaziz University for Health Sciences (KSAU-HS), King Abdulaziz Medical City, Ministry of National Guard Health Affairs, Saudi Arabia
| | - Naif Sannan
- King Abdullah International Medical Research Center (KAIMRC), King Saud bin Abdulaziz University for Health Sciences (KSAU-HS), King Abdulaziz Medical City, Ministry of National Guard Health Affairs, Saudi Arabia
| | - Ziad Kalantan
- King Abdullah International Medical Research Center (KAIMRC), King Saud bin Abdulaziz University for Health Sciences (KSAU-HS), King Abdulaziz Medical City, Ministry of National Guard Health Affairs, Saudi Arabia
| | - Majdi Jan
- King Abdullah International Medical Research Center (KAIMRC), King Saud bin Abdulaziz University for Health Sciences (KSAU-HS), King Abdulaziz Medical City, Ministry of National Guard Health Affairs, Saudi Arabia
| | - Maha Gassas
- King Abdullah International Medical Research Center (KAIMRC), King Saud bin Abdulaziz University for Health Sciences (KSAU-HS), King Abdulaziz Medical City, Ministry of National Guard Health Affairs, Saudi Arabia
| | - Mohammed Harbi
- King Abdullah International Medical Research Center (KAIMRC), King Saud bin Abdulaziz University for Health Sciences (KSAU-HS), King Abdulaziz Medical City, Ministry of National Guard Health Affairs, Saudi Arabia
| | | | - Mohammed Almohammadi
- King Abdullah International Medical Research Center (KAIMRC), King Saud bin Abdulaziz University for Health Sciences (KSAU-HS), King Abdulaziz Medical City, Ministry of National Guard Health Affairs, Saudi Arabia
| | - Hawazen Zarif
- King Abdullah International Medical Research Center (KAIMRC), King Saud bin Abdulaziz University for Health Sciences (KSAU-HS), King Abdulaziz Medical City, Ministry of National Guard Health Affairs, Saudi Arabia
| | - Mansour Qurashi
- King Abdullah International Medical Research Center (KAIMRC), King Saud bin Abdulaziz University for Health Sciences (KSAU-HS), King Abdulaziz Medical City, Ministry of National Guard Health Affairs, Saudi Arabia
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Chen G, Zhang R, Tan C, Liu X, Yu L, Chen Y. Optimal glycated hemoglobin A1c value for prediabetes and diabetes in patients with pancreatic diseases. Front Endocrinol (Lausanne) 2023; 14:1208187. [PMID: 37484959 PMCID: PMC10358977 DOI: 10.3389/fendo.2023.1208187] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Accepted: 06/19/2023] [Indexed: 07/25/2023] Open
Abstract
Background Some articles suggest that using HbA1c alone for diabetes diagnosis is inappropriate. It requires considerable researches to explore the efficacy of HbA1c for diagnosing hyperglycemia in patients with pancreatic disease. Methods This study analyzed 732 patients, comprising of 331 without pancreatic disease and 401 patients diagnosed with pancreatic diseases. All participants underwent the HbA1c assay and oral glucose tolerance test. Kappa coefficients were calculated to assess agreement between the HbA1c and glucose criteria. The receiver operating characteristic curve (ROC) was used to calculate the optimal HbA1c value. DeLong test was analyzed to compared the aera under curves (AUCs). Results There were 203 (61.3%) patients with NGT, 78 (23.6%) with prediabetes, and 50 (15.1%) with diabetes in patients without pancreatic diseases. In patients with pancreatic disease, 106 participants were diagnosed with NGT (36.4%), 125 with prediabetes (31.2%), and 130 with diabetes (32.4%). Patients with pancreatic disease exhibited elevated levels of bilirubin, transaminase enzymes, aspartate transaminase, high density lipoprotein cholesterol and total bile acid. The sensitivity and specificity of the HbA1c (6.5%) for diagnosing pancreatic diabetes were 60.8% (95% CI 52.3, 69.3) and 92.6% (95% CI 89.5, 95.7). In prediabetes, the sensitivity and specificity of HbA1c (5.7%) is 53.2% (44.3, 62.0) and 59.6 (51.5, 67.6). The optimal HbA1c value for diagnosing diabetes was 6.0% (AUC = 0.876, 95% CI 0.839, 0.906), with the sensitivity of 83.8% and the specificity of 76.8%. The optimal HbA1c value for the diagnosis of prediabetes was 5.8% (AUC = 0.617, 95% CI: 0.556, 0.675), with the corresponding sensitivity and specificity of 48.0% and 72.6% respectively. The combined tests (HbA1c, 6.0% or FPG, 7.0mmol/L) presented the sensitivity of 85.7% (95% CI 79.1, 91.3)and the specificity of 92.6% (95% CI 87.6, 97.3) in pancreatic diabetes. Conclusion From our results, the recommended HbA1c by ADA criterion may not be sufficiently sensitive to diagnose hyperglycemia in pancreatic disease. The optimal value of 5.8% and 6.0% improved the accuracy for diagnosing prediabetes and diabetes and should be considered to be applied. Besides, we advocate the combination of HbA1c and FPG test for the diagnosis of diabetes in patients with pancreatic diseases.
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Affiliation(s)
- Guanhua Chen
- Division of Pancreatic Surgery, Department of General Surgery, West China Hospital, Sichuan University, Chengdu, China
| | - Rui Zhang
- Department of Pharmacy, West China Hospital, Sichuan University, Chengdu, China
| | - Chunlu Tan
- Division of Pancreatic Surgery, Department of General Surgery, West China Hospital, Sichuan University, Chengdu, China
| | - Xubao Liu
- Division of Pancreatic Surgery, Department of General Surgery, West China Hospital, Sichuan University, Chengdu, China
| | - Lei Yu
- Department of Pharmacy, West China Hospital, Sichuan University, Chengdu, China
| | - Yonghua Chen
- Division of Pancreatic Surgery, Department of General Surgery, West China Hospital, Sichuan University, Chengdu, China
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Suneja S, Gangopadhyay S, Saini V, Dawar R, Kaur C. Emerging Diabetic Novel Biomarkers of the 21st Century. ANNALS OF THE NATIONAL ACADEMY OF MEDICAL SCIENCES (INDIA) 2021. [DOI: 10.1055/s-0041-1726613] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
AbstractDiabetes is a growing epidemic with estimated prevalence of infected to reach ~592 million by the year 2035. An effective way to approach is to detect the disease at a very early stage to reduce the complications and improve lifestyle management. Although several traditional biomarkers including glucated hemoglobin, glucated albumin, fructosamine, and 1,5-anhydroglucitol have helped in ease of diagnosis, there is lack of sensitivity and specificity and are inaccurate in certain clinical settings. Thus, search for new and effective biomarkers is a continuous process with an aim of accurate and timely diagnosis. Several novel biomarkers have surged in the present century that are helpful in timely detection of the disease condition. Although it is accepted that a single biomarker will have its inherent limitations, combining several markers will help to identify individuals at high risk of developing prediabetes and eventually its progression to frank diabetes. This review describes the novel biomarkers of the 21st century, both in type 1 and type 2 diabetes mellitus, and their present potential for assessing risk stratification due to insulin resistance that will pave the way for improved clinical outcome.
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Affiliation(s)
- Shilpa Suneja
- Department of Biochemistry, Vardhman Mahavir Medical College & Safdarjung Hospital, New Delhi, India
| | - Sukanya Gangopadhyay
- Department of Biochemistry, Vardhman Mahavir Medical College & Safdarjung Hospital, New Delhi, India
| | - Vandana Saini
- Department of Biochemistry, Vardhman Mahavir Medical College & Safdarjung Hospital, New Delhi, India
| | - Rajni Dawar
- Department of Biochemistry, Vardhman Mahavir Medical College & Safdarjung Hospital, New Delhi, India
| | - Charanjeet Kaur
- Department of Biochemistry, Vardhman Mahavir Medical College & Safdarjung Hospital, New Delhi, India
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Yoo S, Jung J, Kim H, Kim KY, Kim SK, Jung J, Hahm JR, Baek JH. Predictive Performance of Glycated Hemoglobin for Incident Diabetes Compared with Glucose Tolerance Test According to Central Obesity. Endocrinol Metab (Seoul) 2020; 35:873-881. [PMID: 33397041 PMCID: PMC7803600 DOI: 10.3803/enm.2020.798] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/10/2020] [Accepted: 10/08/2020] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND To examine whether glycated hemoglobin (HbA1c) test would be a suitable screening tool for detecting high-risk subjects for diabetes compared to oral glucose tolerance test (OGTT) according to accompanied central obesity. METHODS In this prospective population-based cohort study, both OGTT and HbA1c tests were performed and continued every 2 years up to 12 years among individuals with non-diabetic state at baseline (aged 40 to 69 years, n=7,512). Incident diabetes was established by a doctor, HbA1c ≥6.5%, and/or fasting plasma glucose (FPG) ≥126 mg/dL, and/or 2-hour postprandial glucose (2hPG) level based on OGTT ≥200 mg/dL. Discriminative capacities of high HbA1c (≥5.7%) versus high 2hPG (≥140 mg/dL) for predicting incident diabetes were compared using Cox-proportional hazard regression and C-index. RESULTS During the median 11.5 years of follow-up period, 1,341 (17.6%) developed diabetes corresponding to an incidence of 22.1 per 1,000 person-years. Isolated high 2hPG was associated with higher risk for incident diabetes (hazard ratio [HR], 4.29; 95% confidence interval [CI], 3.56 to 5.17) than isolated high HbA1c (HR, 2.79; 95% CI, 2.40 to 3.26; P<0.05). In addition, high 2hPG provided better discriminatory capacity than high HbA1c (C-index 0.79 vs. 0.75, P<0.05). Meanwhile, in subjects with central obesity, the HR (3.95 [95% CI, 3.01 to 5.18] vs. 2.82 [95% CI, 2.30 to 3.46]) and discriminatory capacity of incident diabetes (C-index 0.75 vs. 0.75) between two subgroups became comparable. CONCLUSION Even though the overall inferior predictive capacity of HbA1c test than OGTT, HbA1c test might plays a complementary role in identifying high risk for diabetes especially in subjects with central obesity with increased sensitivity.
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Affiliation(s)
- Suji Yoo
- Department of Internal Medicine, Gyeongsang National University Changwon Hospital, Gyeongsang National University College of Medicine, Changwon,
Korea
| | - Jaehoon Jung
- Department of Internal Medicine, Gyeongsang National University Changwon Hospital, Gyeongsang National University College of Medicine, Changwon,
Korea
- Institute of Health Science, Gyeongsang National University, Jinju,
Korea
| | - Hosu Kim
- Department of Internal Medicine, Gyeongsang National University Changwon Hospital, Gyeongsang National University College of Medicine, Changwon,
Korea
- Institute of Health Science, Gyeongsang National University, Jinju,
Korea
| | - Kyoung Young Kim
- Department of Internal Medicine, Gyeongsang National University Changwon Hospital, Gyeongsang National University College of Medicine, Changwon,
Korea
- Institute of Health Science, Gyeongsang National University, Jinju,
Korea
| | - Soo Kyoung Kim
- Institute of Health Science, Gyeongsang National University, Jinju,
Korea
- Department of Internal Medicine, Gyeongsang National University Hospital, Gyeongsang National University College of Medicine, Jinju,
Korea
| | - Jungwha Jung
- Institute of Health Science, Gyeongsang National University, Jinju,
Korea
- Department of Internal Medicine, Gyeongsang National University Hospital, Gyeongsang National University College of Medicine, Jinju,
Korea
| | - Jong Ryeal Hahm
- Institute of Health Science, Gyeongsang National University, Jinju,
Korea
- Department of Internal Medicine, Gyeongsang National University Hospital, Gyeongsang National University College of Medicine, Jinju,
Korea
| | - Jong Ha Baek
- Department of Internal Medicine, Gyeongsang National University Changwon Hospital, Gyeongsang National University College of Medicine, Changwon,
Korea
- Institute of Health Science, Gyeongsang National University, Jinju,
Korea
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Bergman M, Abdul-Ghani M, Neves JS, Monteiro MP, Medina JL, Dorcely B, Buysschaert M. Pitfalls of HbA1c in the Diagnosis of Diabetes. J Clin Endocrinol Metab 2020; 105:dgaa372. [PMID: 32525987 PMCID: PMC7335015 DOI: 10.1210/clinem/dgaa372] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2020] [Accepted: 06/08/2020] [Indexed: 02/06/2023]
Abstract
Many health care providers screen high-risk individuals exclusively with an HbA1c despite its insensitivity for detecting dysglycemia. The 2 cases presented describe the inherent caveats of interpreting HbA1c without performing an oral glucose tolerance test (OGTT). The first case reflects the risk of overdiagnosing type 2 diabetes (T2D) in an older African American male in whom HbA1c levels, although variable, were primarily in the mid-prediabetes range (5.7-6.4% [39-46 mmol/mol]) for many years although the initial OGTT demonstrated borderline impaired fasting glucose with a fasting plasma glucose of 102 mg/dL [5.7 mmol/L]) without evidence for impaired glucose tolerance (2-hour glucose ≥140-199 mg/dl ([7.8-11.1 mmol/L]). Because subsequent HbA1c levels were diagnostic of T2D (6.5%-6.6% [48-49 mmol/mol]), a second OGTT performed was normal. The second case illustrates the risk of underdiagnosing T2D in a male with HIV having normal HbA1c levels over many years who underwent an OGTT when mild prediabetes (HbA1c = 5.7% [39 mmol/mol]) developed that was diagnostic of T2D. To avoid inadvertent mistreatment, it is therefore essential to perform an OGTT, despite its limitations, in high-risk individuals, particularly when glucose or fructosamine and HbA1c values are discordant. Innate differences in the relationship between fructosamine or fasting glucose to HbA1c are demonstrated by the glycation gap or hemoglobin glycation index.
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Affiliation(s)
- Michael Bergman
- NYU School of Medicine, Director, NYU Diabetes Prevention Program, Section Chief, Endocrinology, Diabetes, Metabolism, VA New York Harbor Healthcare System, Manhattan Campus, New York, New York
| | - Muhammad Abdul-Ghani
- Division of Diabetes, University of Texas Health Science Center at San Antonio, San Antonio, Texas
| | - João Sérgio Neves
- Department of Surgery and Physiology, Cardiovascular Research Center, Faculty of Medicine, University of Porto, Porto, Portugal
- Department of Endocrinology, Diabetes and Metabolism, São João University Hospital Center, Porto, Portugal
| | - Mariana P Monteiro
- Endocrine, Cardiovascular & Metabolic Research, Unit for Multidisciplinary Research in Biomedicine (UMIB), University of Porto, Porto, Portugal
- Institute of Biomedical Sciences Abel Salazar (ICBAS), University of Porto, Porto, Portugal
| | | | - Brenda Dorcely
- NYU Grossman School of Medicine, Division of Endocrinology, Diabetes, Metabolism, New York, New York
| | - Martin Buysschaert
- Department of Endocrinology and Diabetology, Université Catholique de Louvain, University Clinic Saint-Luc, Brussels, Belgium
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Chadha C, Pittas AG, Lary CW, Knowler WC, Chatterjee R, Phillips LS, Aroda VR, Lewis MR, Pratley R, Staten MA, Nelson J, Rasouli N, Brodsky I. Reproducibility of a prediabetes classification in a contemporary population. Metabol Open 2020; 6:100031. [PMID: 32812912 PMCID: PMC7424833 DOI: 10.1016/j.metop.2020.100031] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2020] [Accepted: 03/04/2020] [Indexed: 11/26/2022] Open
Abstract
Aims To assess whether meeting both fasting plasma glucose (FPG) and HbA1c criteria for prediabetes in people at high risk indicates with near certainty the presence of dysglycemia on repeat testing. Methods Observational study using data from Vitamin D and Type 2 Diabetes (D2d) study. HbA1c, FPG were measured at screening visit 1; FPG, HbA1c and 2 h plasma glucose (2hPG) measured at screening visit 2 (a median of 21 days later); participants classified as having normal glucose regulation (all 3 tests in normal range), prediabetes or diabetes (at least 1 of 3 tests in diabetes range). A predictive model was developed to estimate the probability of confirming dysglycemia and for detecting diabetes at screening visit 2 based on values of FPG and HbA1c at screening visit 1. Results Of 1271 participants who met both FPG and HbA1c criteria for prediabetes at screening visit 1, 98.6% exhibited dysglycemia (defined as prediabetes or diabetes) on repeat testing (84.5% were classified as having prediabetes, 14.1% were reclassified as having diabetes). Of those with diabetes, 62.6% were identified by 2hPG alone. Conclusions Combined measurement of FPG and HbA1c is a reliable and reproducible measure to identify presence of dysglycemia among people at high risk. A prediction model is provided to help clinicians decide whether an oral glucose tolerance test will provide value in detecting diabetes based on the 2hPG criterion.
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Affiliation(s)
- Chhavi Chadha
- HealthPartners Institute, 8170 33rd Ave S, Bloomington, MN 55425, USA
| | | | - Christine W Lary
- Center for Outcomes Research and Evaluation, Maine Medical Center Research Institute, 509 Forest Avenue, Suite 200, Portland, ME, 04101, USA
| | - William C Knowler
- National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, AZ, USA
| | - Ranee Chatterjee
- Duke University, Division of General Internal Medicine, 200 Morris Street, 3rd Floor, Durham, NC, 27701, USA
| | - Lawrence S Phillips
- Atlanta VA Medical Center, 1670 Clairmont Rd, 151CSC, Decatur, GA, 30033, USA.,Emory University School of Medicine, 201 Dowman Drive, Atlanta, GA, 30322, USA
| | - Vanita R Aroda
- MedStar Health Research Institute, 6525 Belcrest Road, #700, Hyattsville, MD, 20782, USA
| | - Michael R Lewis
- Department of Pathology and Laboratory Medicine, University of Vermont, Burlington, VT, 05405, USA
| | - Richard Pratley
- Advent Health Translational Research Institute for Metabolism and Diabetes, 301 East Princeton Street, Orlando, FL, 32804, USA
| | - Myrlene A Staten
- National Institute of Diabetes and Digestive and Kidney Diseases, 6701 Democracy Boulevard, Bethesda, MD, 20892, USA
| | - Jason Nelson
- Tufts Medical Center, 800 Washington Street, Box #268, Boston, MA, 02111, USA
| | - Neda Rasouli
- University of Colorado, School of Medicine, 13001 E 17th Place, Aurora, CO, 80045, USA.,VA Eastern Colorado Health Care System, Rocky Mountain Regional VAMC, 1700 N Wheeling Street, Aurora, CO, 80045, USA
| | - Irwin Brodsky
- Maine Medical Partners Endocrinology and Diabetes Center, 175 US Route 1, Scarborough, ME, 04074, USA
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Janapala RN, Jayaraj JS, Fathima N, Kashif T, Usman N, Dasari A, Jahan N, Sachmechi I. Continuous Glucose Monitoring Versus Self-monitoring of Blood Glucose in Type 2 Diabetes Mellitus: A Systematic Review with Meta-analysis. Cureus 2019; 11:e5634. [PMID: 31700737 PMCID: PMC6822918 DOI: 10.7759/cureus.5634] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2019] [Accepted: 09/12/2019] [Indexed: 01/08/2023] Open
Abstract
Every eleventh adult has diabetes, and every third has prediabetes. Over 95% of diabetics are of type 2. It is well established that diabetes doubles the risk of heart disease and stroke apart from increasing the risk of microvascular complications. Hence, strict glycemic control is necessary. However, it increases the risk of hypoglycemia, especially in patients with longstanding diabetes. Continuous glucose monitors (CGM) use a sensor to continuously measure the glucose levels in the interstitial fluid every 10 seconds and gives out mean values every five minutes. CGMs are emerging tools in the management of type 2 diabetes. The prime objective of this review is to find out if there is enough supporting evidence, suggesting that continuous glucose monitoring is more effective than self-monitoring of blood glucose (SMBG) in type 2 diabetes. We conducted a systematic literature search in Medline (PubMed) looking for any studies addressing our objective. It is observed that there is a varying level of evidence supporting that employing a CGM can reduce glycated hemoglobin (HbA1c), hypoglycemic events, and increase patient satisfaction. However, some studies reported no significant benefits. This systematic review with meta-analysis concludes that the use of CGM in type 2 diabetes mellitus (T2DM) is beneficial, as it significantly reduces HbA1c compared to the usual method of SMBG. The pooled mean difference in HbA1c was -0.25 (-0.45, -0.06) and statistically significant (at p = 0.01) when comparing CGM to SMBG.
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Affiliation(s)
- Rajesh Naidu Janapala
- Internal Medicine, Icahn School of Medicine at Mount Sinai/Queens Hospital Center, New York, USA
| | - Joseph S Jayaraj
- Internal Medicine, California Institute of Behavioral Neurosciences and Psychology, Fairfield, USA
| | - Nida Fathima
- Internal Medicine, California Institute of Behavioral Neurosciences and Psychology, Fairfield, USA
| | - Tooba Kashif
- Internal Medicine, California Institute of Behavioral Neurosciences and Psychology, Fairfield, USA
| | - Norina Usman
- Internal Medicine, Veterans Affairs Palo Alto Health Care System - Stanford University School of Medicine, Palo Alto, USA
| | - Amulya Dasari
- Internal Medicine, California Institute of Behavioral Neurosciences and Psychology, Fairfield, USA
| | - Nusrat Jahan
- Internal Medicine, California Institute of Behavioral Neurosciences and Psychology, Fairfield, USA
| | - Issac Sachmechi
- Internal Medicine, Icahn School of Medicine at Mount Sinai/Queens Hospital Center, New York, USA
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Chatzianagnostou K, Vigna L, Di Piazza S, Tirelli AS, Napolitano F, Tomaino L, Bamonti F, Traghella I, Vassalle C. Low concordance between HbA1c and OGTT to diagnose prediabetes and diabetes in overweight or obesity. Clin Endocrinol (Oxf) 2019; 91:411-416. [PMID: 31152677 DOI: 10.1111/cen.14043] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2019] [Revised: 05/02/2019] [Accepted: 05/29/2019] [Indexed: 12/11/2022]
Abstract
BACKGROUND Glycated haemoglobin (HbA1c) test, introduced for diagnosing prediabetes and diabetes by the American Diabetes Association for some years, is currently under extensive discussion for contradictory data on the concordance between this test and the oral glucose tolerance test (OGTT). HYPOTHESIS To assess concordance between HbA1c and OGTT to diagnose prediabetes and diabetes in subjects with overweight or obesity, focusing on possible gender-related differences. METHODS A total of 949 outpatients with overweight or obesity at risk for diabetes (mean age 50 ± 15 years; 660 F) were enrolled and underwent HbA1c test and OGTT. RESULTS In both genders, HbA1c test identified more patients with prediabetes than OGTT (42% vs 22% in males, 40% vs 18% in females, respectively): a slight concordance between HbA1c and OGTT (60% of total tests in both genders). In subjects diagnosed by OGTT, post-OGTT insulin levels and HOMA INDEX were significantly higher than those found in HbA1c(+) cases. Instead, those diagnosed with HbA1c were significantly older and showed higher uric acid than those with both tests (-). CONCLUSIONS HbA1c test and OGTT did not reach full concordance for the diagnosis of diabetes and prediabetes in both genders. The two tests likely reflect different physiopathological aspects of dysglycaemia, suggesting that the 'diagnostic thresholds' could be reconsidered in light of the discordance observed.
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Affiliation(s)
| | - Luisella Vigna
- Department of Preventive Medicine, Occupational Health Unit, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy
| | - Silvana Di Piazza
- Department of Preventive Medicine, Occupational Health Unit, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy
| | - Amedea Silvia Tirelli
- Laboratory of Clinical Chemistry and Microbiology, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy
| | - Filomena Napolitano
- Laboratory of Clinical Chemistry and Microbiology, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy
| | - Laura Tomaino
- Department of Clinical and Community Sciences (DISCCO), Università degli Studi di Milano, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy
| | - Fabrizia Bamonti
- Department of Biomedical, Surgical and Dental Sciences, Università degli Studi di Milano, Milan, Italy
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Rodriguez-Segade S, Rodriguez J, Camiña F, Sanmartín-Portas L, Gerpe-Jamardo J, Pazos-Couselo M, García-López JM, Alonso-Sampedro M, González-Quintela A, Gude F. Prediabetes defined by HbA 1c and by fasting glucose: differences in risk factors and prevalence. Acta Diabetol 2019; 56:1023-1030. [PMID: 31115752 DOI: 10.1007/s00592-019-01342-5] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2019] [Accepted: 04/03/2019] [Indexed: 01/09/2023]
Abstract
AIMS To investigate, in a sample of nondiabetic adults from a Spanish community, the differences between prediabetes as defined by HbA1c ("H-prediabetes") and by fasting plasma glucose (FPG) ("F-prediabetes") in regard to prevalence and the influence of potential risk factors, adjusting the latter for confounders. METHODS A total of 1328 nondiabetic participants aged ≥ 18 years were classified as normoglycemic, H-prediabetic [HbA1c 5.7-6.4% (39-47 mmol/mol)] or F-prediabetic (FPG 5.6-6.9 mmol/L). Multivariable analyses were used to compare the impacts of risk factors on the prevalence of H-prediabetes, F-prediabetes and their conjunctive and disjunctive combinations ("HaF-prediabetes" and "HoF-prediabetes," respectively). RESULTS Some 29.9% of participants were HoF-prediabetic, 21.7% H-prediabetic, 16.3% F-prediabetic and only 8.1% HaF-prediabetic. Whatever the definition of prediabetes, increasing age, fasting insulin and LDL cholesterol were each a risk factor after adjustment for all other variables. Increasing BMI and decreasing mean corpuscular hemoglobin (MCH) were additional risk factors for H-prediabetes; male sex and increasing uric acid for F-prediabetes and increasing BMI for HaF-prediabetes. The participants satisfying the compound condition "hypertension or hyperlipidemia or obesity or hyperuricemia" (59.9% of the whole study group) included 83.1% of all subjects with HoF-prediabetes. CONCLUSIONS In this population, the most sensitive risk factor for detection of prediabetes was age, followed by fasting insulin, LDL cholesterol, BMI, MCH, male sex and uric acid, with differences depending on the definition of prediabetes. MCH, an indirect measure of erythrocyte survival, significantly influences the prevalence of HbA1c-defined prediabetes. This study suggests that screening of individuals with selected risk factors may identify a high proportion of prediabetic persons.
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Affiliation(s)
- Santiago Rodriguez-Segade
- Department of Biochemistry and Molecular Biology, University of Santiago de Compostela, 15782, Santiago de Compostela, Spain.
- Clinical Biochemistry Laboratory, Complejo Hospitalario Universitario de Santiago, Travesía de la Choupana s/n, 15706, Santiago de Compostela, Spain.
| | - Javier Rodriguez
- Department of Biochemistry and Molecular Biology, University of Santiago de Compostela, 15782, Santiago de Compostela, Spain
- Clinical Biochemistry Laboratory, Complejo Hospitalario Universitario de Santiago, Travesía de la Choupana s/n, 15706, Santiago de Compostela, Spain
| | - Félix Camiña
- Department of Biochemistry and Molecular Biology, University of Santiago de Compostela, 15782, Santiago de Compostela, Spain
| | | | | | - Marcos Pazos-Couselo
- Division of Endocrinology, Complejo Hospitalario Universitario de Santiago, Travesía de Conxo s/n, 15706, Santiago de Compostela, Spain
| | - Jose M García-López
- Division of Endocrinology, Complejo Hospitalario Universitario de Santiago, Travesía de Conxo s/n, 15706, Santiago de Compostela, Spain
| | - Manuela Alonso-Sampedro
- Clinical Epidemiology Unit, Complejo Hospitalario Universitario de Santiago, Travesía de la Choupana s/n, 15706, Santiago de Compostela, Spain
- Division of Internal Medicine, School of Medicine, University of Santiago de Compostela, c/San Francisco n-1, 15782, Santiago de Compostela, Spain
| | - Arturo González-Quintela
- Division of Internal Medicine, School of Medicine, University of Santiago de Compostela, c/San Francisco n-1, 15782, Santiago de Compostela, Spain
| | - Francisco Gude
- Clinical Epidemiology Unit, Complejo Hospitalario Universitario de Santiago, Travesía de la Choupana s/n, 15706, Santiago de Compostela, Spain
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Iskandar S, Migahid A, Kamal D, Megahed O, DeFronzo RA, Zirie M, Jayyousi A, Al Jaidah M, Abdul-Ghani M. Glycated hemoglobin versus oral glucose tolerance test in the identification of subjects with prediabetes in Qatari population. BMC Endocr Disord 2019; 19:87. [PMID: 31438915 PMCID: PMC6704621 DOI: 10.1186/s12902-019-0412-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/08/2018] [Accepted: 07/19/2019] [Indexed: 01/01/2023] Open
Abstract
BACKGROUND Subjects with prediabetes are at increased risk of future T2DM and cardiovascular disease (CVD) compared to NGT individuals. The OGTT (FPG = 100-125 and 2 h-PG = 140-199 mg/dl) and HbA1c 5.7-6.4% have been used to diagnose subjects with prediabetes. In the present study, we compared the ability of the OGTT and HbA1c to identify Qatari subjects with prediabetes. METHODS Four hundred forty six subjects without a history of T2DM received 75-g OGTT and measurement of HbA1c. The incidence of prediabetes in this cohort according to OGTT criteria was compared to that of HbA1c criteria. RESULTS The agreement between the OGTT and HbA1c in identifying subjects with prediabetes in Qatari subjects was poor, though significant (k = 015, p < 0.0001). Only 56% of participants had prediabetes or NGT according to OGTT and HbA1c. The disagreement between OGTT and HbA1c in diagnosing prediabetes was primarily due to low sensitivity of HbA1c. Moreover, subjects with prediabetes diagnosed with the OGTT have more severe metabolic profile than prediabetic subjects diagnosed with HbA1c. Lastly, more subjects with the metabolic syndrome were identified with OGTT (60%) criteria than with the HbA1c (49%), p < 0.0001. CONCLUSION These results demonstrate subjects with prediabetes diagnosed with OGTT have more severe metabolic risk than those diagnosed with HbA1c, and more likely to have greater risk of progression to T2DM.
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Affiliation(s)
| | - Ayman Migahid
- Academic Health System, Hamad General Hospital, PO Box 3050, Doha, Qatar
| | - Dalia Kamal
- Academic Health System, Hamad General Hospital, PO Box 3050, Doha, Qatar
| | - Osama Megahed
- Academic Health System, Hamad General Hospital, PO Box 3050, Doha, Qatar
| | - Ralph A. DeFronzo
- Diabetes Division, University of Texas Health Science Center, San Antonio, TX USA
| | - Mahmoud Zirie
- Academic Health System, Hamad General Hospital, PO Box 3050, Doha, Qatar
| | - Amin Jayyousi
- Academic Health System, Hamad General Hospital, PO Box 3050, Doha, Qatar
| | | | - Muhammad Abdul-Ghani
- Academic Health System, Hamad General Hospital, PO Box 3050, Doha, Qatar
- Diabetes Division, University of Texas Health Science Center, San Antonio, TX USA
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11
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Qi J, Su Y, Song Q, Ding Z, Cao M, Cui B, Qi Y. Reconsidering the HbA1c Cutoff for Diabetes Diagnosis Based on a Large Chinese Cohort. Exp Clin Endocrinol Diabetes 2019; 129:86-92. [PMID: 31039601 DOI: 10.1055/a-0833-8119] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
INTRODUCTION The HbA1c has been considered as the 'gold standard' in diabetes diagnosis and management, however, age, gender and body mass index (BMI) might have certain effects on HbA1c. We are aiming to further investigate the correlation between age and HbA1c, and whether it was affected by gender and BMI. METHODS A cross-sectional survey including 135,893 nondiabetic individuals who took the physical examination between 2013 and 2017 was conducted. The subjects were grouped by gender, age and BMI, and the interactive and independent effects of the 3 factors on the HbA1c were detected. The median and 95% confidence interval (CI) of HbA1c levels were calculated. RESULTS The HbA1c levels gradually increased along with age, both in female and male, and there is a positive association between BMI and the HbA1c. The difference on HbA1c in gender was associated with both age and BMI, the age-related increase in HbAlc was accentuated in the subgroup with higher BMI, and there was a marked accentuation of the positive association between BMI and HbA1c as age increased. In almost all the young and middle-aged (aged 20-59) subgroups, the 97.5th percentiles of HbA1c levels were lower than 6.5%, suggesting that the single HbA1c cutoff value is probably not applicable to the young and middle-aged population. CONCLUSIONS We recommend that the effects of age, gender and BMI should be taken into consideration when using HbA1c for the diagnosis and management of diabetes, especially in the young and middle-aged population.
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Affiliation(s)
- Jiying Qi
- Shanghai Clinical Center for Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China
| | - Yang Su
- Clinical Laboratory, Sichuan Academy of Medical Science & Sichuan Provincial People's Hospital, Chengdu, China.,Chinese Academy of Sciences, Sichuan Translational Medicine Research Hospital, Chengdu, China
| | - Qianqian Song
- Shanghai Clinical Center for Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China
| | - Zhaojun Ding
- Shanghai Clinical Center for Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China
| | - Min Cao
- Shanghai Clinical Center for Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China
| | - Bin Cui
- Shanghai Clinical Center for Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China
| | - Yan Qi
- Department of Endocrine and Metabolic Diseases, Ruijin Hospital North, Shanghai JiaoTong University School of Medicine, Shanghai, China
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12
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Lee J, Lee YA, Kim JH, Lee SY, Shin CH, Yang SW. Discrepancies between Glycosylated Hemoglobin and Fasting Plasma Glucose for Diagnosing Impaired Fasting Glucose and Diabetes Mellitus in Korean Youth and Young Adults. Diabetes Metab J 2019; 43:174-182. [PMID: 30398041 PMCID: PMC6470094 DOI: 10.4093/dmj.2018.0046] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/17/2018] [Accepted: 08/10/2018] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND Glycosylated hemoglobin (HbA1c) has been recommended as a diagnostic test for prediabetes and diabetes. Here, we evaluated the level of agreement between diagnoses based on fasting plasma glucose (FPG) versus HbA1c levels and determined optimal HbA1c cutoff values for these diseases in youth and young adults. METHODS The study included 7,332 subjects (n=4,129, aged 10 to 19 years in youth group; and n=3,203 aged 20 to 29 years in young adult group) from the 2011 to 2016 Korea National Health and Nutrition Examination Survey. Prediabetes and diabetes were defined as 100 to 125 mg/dL (impaired fasting glucose [IFG]) and ≥126 mg/dL for FPG (diabetes mellitus [DM] by FPG [DMFPG]), and 5.7% to 6.4% and ≥6.5% for HbA1c, respectively. RESULTS In the youth group, 32.5% with IFG had an HbA1c level of 5.7% to 6.4%, and 72.2% with DMFPG had an HbA1c ≥6.5%. In the young adult group, 27.5% with IFG had an HbA1c level of 5.7% to 6.4%, and 66.6% with DMFPG had an HbA1c ≥6.5%. Kappa coefficients for agreement between the FPG and HbA1c results were 0.12 for the youth group and 0.19 for the young adult group. In receiver operating characteristic curve analysis, the optimal HbA1c cutoff for IFG and DMFPG were 5.6% and 5.9% in youths and 5.5% and 5.8% in young adults, respectively. CONCLUSION Usefulness of HbA1c for diagnosis of IFG and DMFPG in Koreans aged <30 years remains to be determined due to discrepancies between the results of glucose- and HbA1c-based tests. Additional testing might be warranted at lower HbA1c levels to detect IFG and DMFPG in this age group.
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Affiliation(s)
- Jieun Lee
- Department of Pediatrics, Inje University Ilsan Paik Hospital, Inje University College of Medicine, Goyang, Korea
| | - Young Ah Lee
- Department of Pediatrics, Seoul National University Children's Hospital, Seoul National University College of Medicine, Seoul, Korea
| | - Jae Hyun Kim
- Department of Pediatrics, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea.
| | - Seong Yong Lee
- Department of Pediatrics, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea
| | - Choong Ho Shin
- Department of Pediatrics, Seoul National University Children's Hospital, Seoul National University College of Medicine, Seoul, Korea
| | - Sei Won Yang
- Department of Pediatrics, Seoul National University Children's Hospital, Seoul National University College of Medicine, Seoul, Korea
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Thewjitcharoen Y, Jones Elizabeth A, Butadej S, Nakasatien S, Chotwanvirat P, Wanothayaroj E, Krittiyawong S, Himathongkam T, Himathongkam T. Performance of HbA1c versus oral glucose tolerance test (OGTT) as a screening tool to diagnose dysglycemic status in high-risk Thai patients. BMC Endocr Disord 2019; 19:23. [PMID: 30770743 PMCID: PMC6377733 DOI: 10.1186/s12902-019-0339-6] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/09/2018] [Accepted: 01/09/2019] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Dysglycemic status defined by prediabetes and diabetes is known to be related with future risk of diabetic complications and cardiovascular diseases. Herein, we aimed to determine the diagnostic accuracy of glycated hemoglobin (HbA1c) when compared with oral glucose tolerance test (OGTT) as a reference test in identifying dysglycemic status among high-risk Thai patients receiving care in an out-patient setting. METHODS An 11-year retrospective cross-sectional study of high-risk Thai patients who underwent OGTT during 2007-2017 was analysed. The OGTT was used as a reference test to identify subjects of dysglycemic status. The diagnostic accuracy of HbA1c and the agreement between HbA1c and OGTT were examined. Validated Thai diabetes risk score, Thai cardiovascular risk score (Thai CV risk score), and visceral fat area (VFA) were also compared in each glycemic status from OGTT as surrogate markers for future diabetes and cardiovascular diseases. RESULTS A total of 512 subjects (females 60.5%, mean age of 50.3 ± 12.7 years, BMI of 26.5 ± 4.6 kg/m2) were reviewed. Normal glucose tolerance (NGT) was found in 220 patients (43.0%), impaired glucose tolerance (IGT) in 191 patients (37.3%), and diabetes in 101 patients (19.7%). The prevalence of diabetes using OGTT was approximately two times higher than those defined by HbA1c (19.7% versus 11.1%). There were poor agreements between the classifications of prediabetes and diabetes defined by OGTT and HbA1c (Cohen's Kappa 0.154 and 0.306, respectively). Using a cut-off value for HbA1c ≥6.5% as a threshold for HbA1c-defined criteria of diabetes, sensitivity was 32% (95% CI 23-41%) and specificity was 94% (95% CI 92-96%). The optimal cut-off HbA1c value for detecting diabetes by Youden's index was at HbA1c 6.2%. Thai CV risk score was much higher among the OGTT-defined diabetes group when compared with the NGT group (median score 10 vs. 3, p-value < 0.001). CONCLUSIONS Despite the practicality and validity of HbA1c as a diagnostic test, our study suggested that HbA1c as a screening tool for diabetes in high-risk Thai patients is much inferior to OGTT. With limitations of HbA1c, physicians should continue to advocate OGTT as a screening tool for the identification of dysglycemic status in high-risk Thai patients.
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Affiliation(s)
| | | | - Siriwan Butadej
- Diabetes and Thyroid Center, Theptarin Hospital, Bangkok, Thailand
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14
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Sameer AS, Banday MZ, Nissar S, Saeed SA. A Comparison of Biomarkers in the Assessment of Glycemic Control in Diabetes: Reviewing the Evidence. Curr Diabetes Rev 2019; 15:471-479. [PMID: 30961503 DOI: 10.2174/1389557519666190408197922] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/22/2018] [Revised: 03/21/2019] [Accepted: 04/02/2019] [Indexed: 11/22/2022]
Abstract
BACKGROUND Diabetes Mellitus (DM) is a chronic life-long progressive multisystem heterogeneous metabolic disorder with complex pathogenesis. INTRODUCTION Hyperglycemia is not only one of the classical signs of DM, but it also serves as the pivotal prerequisite for the diagnosis of the disease. However, with the advancement in the field of analytical biochemistry, a number of alternative and specific biomarkers have been discovered which can be used for better diagnosis of the DM. In this review, we have discussed various aspects of DM and different biomarkers used in assessing glycemia. METHODOLOGY A thorough literature survey was conducted to identify various studies that reported the use of conventional and non-conventional markers for the assessment of glycemia in DM patients. CONCLUSION The accurate detection and hence diagnosis of DM has become easy and more specific with the use of various biomarkers.
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Affiliation(s)
- Aga S Sameer
- Department of Basic Medical Sciences, College of Medicine, King Saud Bin Abdul Aziz University for Health Sciences, National Guard Health Affairs, Jeddah, Saudi Arabia
- King Abdullah International Medical Research Centre (KAIMRC), King Abdulaziz Medical City, Jeddah, Saudi Arabia
| | - Mujeeb Z Banday
- Department of Biology, United Arab Emirates University (UAEU), Al Ain, Abu Dhabi, United Arab Emirates
| | - Saniya Nissar
- Department of Clinical Biochemistry, University of Kashmir, Hazratbal, Srinagar, Kashmir, India
| | - Sheikh A Saeed
- Department of Basic Medical Sciences, College of Medicine, King Saud Bin Abdul Aziz University for Health Sciences, National Guard Health Affairs, Jeddah, Saudi Arabia
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15
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Affiliation(s)
- Anoop Misra
- Fortis C-DOC Hospital for Diabetes and Metabolic Diseases, New Delhi, India
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16
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Vanavanan S, Srisawasdi P, Rochanawutanon M, Kumproa N, Kruthkul K, Kroll MH. Performance of body mass index and percentage of body fat in predicting cardiometabolic risk factors in Thai adults. Diabetes Metab Syndr Obes 2018; 11:241-253. [PMID: 29910627 PMCID: PMC5987789 DOI: 10.2147/dmso.s167294] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Body mass index (BMI) and percentage of body fat (PBF) are used to measure obesity; however, their performance in identifying cardiometabolic risk in Southeast Asians is unclear. Generally, Asian women have higher PBF and lower BMI than do men and other ethnic populations. This study was conducted to address whether a discord exists between these measures in predicting obesity-related cardiometabolic risk in a Thai population and to test whether associations between the measures and risk factors for cardiovascular disease have a sex-specific inclination. METHODS A total of 234 (76 men and 158 women) outpatients were recruited. BMI obesity cutoff points were ≥25.0 and ≥27.0 kg/m2 and PBF cutoff points were ≥35.0% and ≥25.0% for women and men, respectively. Blood samples were analyzed for total cholesterol, triglycerides, low-density lipoprotein-cholesterol, high-density lipoprotein-cholesterol, lipoprotein subclasses, apolipoprotein A-I, apolipoprotein B, glucose, hemoglobin A1c, insulin, high-sensitive C-reactive protein (hsCRP), adiponectin, leptin, and 25-hydroxyvitamin D. RESULTS Twenty-five percent of participants classified as normal-BMI had excessive fat, whereas 9% classified as normal-PBF had excessive BMI. Good relationships were found between BMI and PBF using sex stratification (R2 >0.5). The prevalence of metabolic syndrome was markedly increased in overweight and/or excess body fat groups compared with lean group. Logistic regression analyses showed that BMI was the best predictor of hypertension. BMI was an independent predictor of insulin resistance, hyperglycemia, hypertriglyceridemia, and hyperleptinemia in women, whereas PBF was for men. However, PBF proved to be a good indicator for atherogenic lipoprotein particles in both sexes. Notably, neither index predicted increased hsCRP or 25-hydroxyvitamin D insufficiency. CONCLUSION Considerable sex-specific variations were observed between BMI and PBF in their associations with and predictability of numerous cardiometabolic biomarkers. No single measure provides a comprehensive risk predication as shown herein with the Thai population, and therefore both should be applied in screening activities.
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Affiliation(s)
- Somlak Vanavanan
- Division of Clinical Chemistry, Department of Pathology, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Pornpen Srisawasdi
- Division of Clinical Chemistry, Department of Pathology, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
- Correspondence: Pornpen Srisawasdi, Division of Clinical Chemistry, Department of Pathology, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Rama VI Road, Ratchathewi, Bangkok 10400, Thailand, Tel +66 2 201 0008, Fax +66 2 354 7266, Email
| | | | - Nalinee Kumproa
- Division of Clinical Chemistry, Department of Pathology, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Khanat Kruthkul
- Department of Medicine, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
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Mangrola D, Cox C, Furman AS, Krishnan S, Karakas SE. SELF BLOOD GLUCOSE MONITORING UNDERESTIMATES HYPERGLYCEMIA AND HYPOGLYCEMIA AS COMPARED TO CONTINUOUS GLUCOSE MONITORING IN TYPE 1 AND TYPE 2 DIABETES. Endocr Pract 2017; 24:47-52. [PMID: 29144814 DOI: 10.4158/ep-2017-0032] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
OBJECTIVE When glucose records from self blood glucose monitoring (SBGM) do not reflect estimated average glucose from glycosylated hemoglobin (HgBA1) or when patients' clinical symptoms are not explained by their SBGM records, clinical management of diabetes becomes a challenge. Our objective was to determine the magnitude of differences in glucose values reported by SBGM versus those documented by continuous glucose monitoring (CGM). METHODS The CGM was conducted by a clinical diabetes educator (CDE)/registered nurse by the clinic protocol, using the Medtronic iPRO2™ system. Patients continued SBGM and managed their diabetes without any change. Data from 4 full days were obtained, and relevant clinical information was recorded. De-identified data sets were provided to the investigators. RESULTS Data from 61 patients, 27 with type 1 diabetes (T1DM) and 34 with T2DM were analyzed. The lowest, highest, and average glucose recorded by SBGM were compared to the corresponding values from CGM. The lowest glucose values reported by SBGM were approximately 25 mg/dL higher in both T1DM ( P = .0232) and T2DM ( P = .0003). The highest glucose values by SBGM were approximately 30 mg/dL lower in T1DM ( P = .0005) and 55 mg/dL lower in T2DM ( P<.0001). HgBA1c correlated with the highest and average glucose by SBGM and CGM. The lowest glucose values were seen most frequently during sleep and before breakfast; the highest were seen during the evening and postprandially. CONCLUSION SBGM accurately estimates the average glucose but underestimates glucose excursions. CGM uncovers glucose patterns that common SBGM patterns cannot. ABBREVIATIONS CDE = certified diabetes educator; CGM = continuous glucose monitoring; HgBA1c = glycosylated hemoglobin; MAD = mean absolute difference; SBGM = self blood glucose monitoring; T1DM = type 1 diabetes; T2DM = type 2 diabetes.
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Not performing an OGTT results in significant underdiagnosis of (pre)diabetes in a high risk adult Caucasian population. Int J Obes (Lond) 2017; 41:1615-1620. [PMID: 28720876 DOI: 10.1038/ijo.2017.165] [Citation(s) in RCA: 63] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/23/2016] [Revised: 04/13/2017] [Accepted: 04/23/2017] [Indexed: 12/13/2022]
Abstract
OBJECTIVE Type 2 diabetes (T2DM) is known to be underdiagnosed. Tests for diagnosis include fasting plasma glucose (FPG), oral glucose tolerance test (OGTT) and HbA1c. HbA1c can be tested in non-fasting conditions. Therefore, general practitioners almost no longer execute OGTT's. We evaluated the performance of OGTT versus HbA1c in a population consisting of overweight and obese subjects, which can be considered a 'high risk' population. RESEARCH DESIGN AND METHODS A total of, 1241 overweight and obese subjects without a history of diabetes (male/female: 375/866, age 44±13 years, body mass index 38.0±6.1 kg m-2) were tested for glucose tolerance status using FPG, OGTT and HbA1c. RESULTS Exactly, 46.8% were found to have prediabetes and 11.9% were newly diagnosed with T2DM (male/female=18.9/8.9%) using ADA criteria. Testing only HbA1c would have resulted in 78 subjects being diagnosed with T2DM, but 47.3% of newly diagnosed patients would have been missed if OGTT would not have been done. Exactly 581 subjects were diagnosed with prediabetes, 1.4% subjects had impaired fasting glucose (IFG) 30.5% had impaired glucose tolerance (IGT), 5.1% subjects had a combined IFG+IGT, and 9.8% had an isolated elevated HbA1c (5.7-6.4%). Of the 581 subjects with prediabetes, 257 had an HbA1c <5.7%. Therefore, 44.2% subjects would have been missed when OGTT would not have been done. CONCLUSION In a population with only overweight and obese adult subjects, 46.8% were diagnosed with prediabetes and 11.9% were newly diagnosed with diabetes. Exactly, 5.6 and 20.7% of total population met the diagnostic criteria of the OGTT for diabetes and prediabetes, respectively, but did not meet the diagnostic criteria of the HbA1c. These data suggest that not performing an OGTT results in significant underdiagnose of T2DM in an overweight and obese adult population.
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Vega-Vázquez MA, Ramírez-Vick M, Muñoz-Torres FJ, González-Rodríguez LA, Joshipura K. Comparing glucose and hemoglobin A 1c diagnostic tests among a high metabolic risk Hispanic population. Diabetes Metab Res Rev 2017; 33:10.1002/dmrr.2874. [PMID: 27933750 PMCID: PMC5413375 DOI: 10.1002/dmrr.2874] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/26/2016] [Revised: 10/28/2016] [Accepted: 11/24/2016] [Indexed: 11/09/2022]
Abstract
BACKGROUND Compare glycated hemoglobin (HbA1c ) diagnostic tests for prediabetes and diabetes with plasma glucose criteria and compare the metabolic profiles of people classified by HbA1c versus by glucose levels. METHODS Participants were recruited for the San Juan Overweight Adults Longitudinal Study. The participants were primarily Hispanic (98%), without previously diagnosed diabetes, and aged 40 to 65 years. Participants classified as normal glycemic, prediabetes, or diabetes on the basis of baseline HbA1c and plasma glucose criteria were compared with respect to baseline cardiometabolic factors. RESULTS The 1342 participants had a mean age of 50.5 ± 6.8 years and 28% were men. Thirty-one percent were diagnosed with prediabetes by plasma glucose criteria and 53.4% by HbA1c , and 8.1% were diagnosed with diabetes by plasma glucose criteria and 6.3% by HbA1c ; overall concordance rate was 55.1%. The area under the receiver operating characteristic curve of HbA1c compared to plasma glucose criteria was 0.62 for impaired glucose and 0.76 for diabetes. A worse cardiometabolic profile was seen within subgroups that met HbA1c and plasma glucose criteria for diabetes or prediabetes. Those diagnosed with prediabetes by plasma glucose criteria had significantly higher systolic blood pressure and higher homeostatic model assessment than those diagnosed using HbA1c . Participants diagnosed with diabetes by plasma glucose criteria had lower body mass index, smaller waist circumference, and lower insulinogenic and disposition indices, but higher homeostatic model assessment of insulin resistance, than those diagnosed by HbA1c . CONCLUSIONS Low concordance was seen between HbA1c and glucose measurements. The HbA1c is not a good test for prediabetes but shows reasonable validity for diabetes in this high-risk predominantly female Hispanic population. People classified by HbA1c , plasma glucose criteria, or both show different metabolic profiles; a combined test may be ideal.
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Affiliation(s)
- Mónica A. Vega-Vázquez
- University of Puerto Rico Medical Sciences Campus, Department of Medicine, Endocrinology, Diabetes and Metabolism Section, PO Box 365067, San Juan, Puerto Rico 00936-5067
| | - Margarita Ramírez-Vick
- University of Puerto Rico Medical Sciences Campus, Department of Medicine, Endocrinology, Diabetes and Metabolism Section, PO Box 365067, San Juan, Puerto Rico 00936-5067
| | - Francisco J. Muñoz-Torres
- University of Puerto Rico Medical Sciences Campus, School of Dental Medicine, Center for Clinical Research and Health Promotion PO Box 365067, San Juan, Puerto Rico 00936-5067
| | - Loida A. González-Rodríguez
- University of Puerto Rico Medical Sciences Campus, Department of Medicine, Endocrinology, Diabetes and Metabolism Section, PO Box 365067, San Juan, Puerto Rico 00936-5067
| | - Kaumudi Joshipura
- University of Puerto Rico Medical Sciences Campus, School of Dental Medicine, Center for Clinical Research and Health Promotion PO Box 365067, San Juan, Puerto Rico 00936-5067
- Department of Epidemiology, Harvard School of Public Health, 677 Huntington Avenue, Boston, MA 02115
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20
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Diabetes Spatial Care Paths, Leading Edge HbA1c Testing, Facilitation Thresholds, Proactive-Preemptive Strategic Intelligence, and Unmanned Aerial Vehicles in Limited-Resource Countries. ACTA ACUST UNITED AC 2017. [DOI: 10.1097/poc.0000000000000122] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
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21
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Dorcely B, Katz K, Jagannathan R, Chiang SS, Oluwadare B, Goldberg IJ, Bergman M. Novel biomarkers for prediabetes, diabetes, and associated complications. Diabetes Metab Syndr Obes 2017; 10:345-361. [PMID: 28860833 PMCID: PMC5565252 DOI: 10.2147/dmso.s100074] [Citation(s) in RCA: 101] [Impact Index Per Article: 14.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
The number of individuals with prediabetes is expected to grow substantially and estimated to globally affect 482 million people by 2040. Therefore, effective methods for diagnosing prediabetes will be required to reduce the risk of progressing to diabetes and its complications. The current biomarkers, glycated hemoglobin (HbA1c), fructosamine, and glycated albumin have limitations including moderate sensitivity and specificity and are inaccurate in certain clinical conditions. Therefore, identification of additional biomarkers is being explored recognizing that any single biomarker will also likely have inherent limitations. Therefore, combining several biomarkers may more precisely identify those at high risk for developing prediabetes and subsequent progression to diabetes. This review describes recently identified biomarkers and their potential utility for addressing the burgeoning epidemic of dysglycemic disorders.
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Affiliation(s)
- Brenda Dorcely
- New York University School of Medicine, Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, NYU Langone Medical Center, New York, NY
| | - Karin Katz
- New York University School of Medicine, Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, NYU Langone Medical Center, New York, NY
| | - Ram Jagannathan
- Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Stephanie S Chiang
- New York University School of Medicine, Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, NYU Langone Medical Center, New York, NY
| | - Babajide Oluwadare
- New York University School of Medicine, Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, NYU Langone Medical Center, New York, NY
| | - Ira J Goldberg
- New York University School of Medicine, Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, NYU Langone Medical Center, New York, NY
| | - Michael Bergman
- New York University School of Medicine, Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, NYU Langone Medical Center, New York, NY
- Correspondence: Michael Bergman, New York University School of Medicine, Division of Endocrinology, Diabetes and Metabolism, NYU Langone Medical Center, 550 1st Avenue, Suite 5E, New York, NY 10016, USA, Tel +1 212 481 1350, Fax +1 212 481 1355, Email
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22
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Camacho JE, Shah VO, Schrader R, Wong CS, Burge MR. PERFORMANCE OF A1C VERSUS OGTT FOR THE DIAGNOSIS OF PREDIABETES IN A COMMUNITY-BASED SCREENING. Endocr Pract 2016; 22:1288-1295. [PMID: 27482613 PMCID: PMC5278882 DOI: 10.4158/ep161267.or] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
OBJECTIVE Reliable identification of individuals at risk for developing diabetes is critical to instituting preventative strategies. Studies suggest that the accuracy of using hemoglobin A1c as a sole diagnostic criterion for diabetes may be variable across different ethnic groups. We postulate that there will be lack of concordance between A1c and the oral glucose tolerance test (OGTT) for diagnosing prediabetes across Hispanic and non-Hispanic white (NHW) populations. METHODS A total of 218 asymptomatic adults at risk for type 2 diabetes (T2D) were assessed with A1c and OGTT for the diagnosis of prediabetes. Glucose homeostasis status was assigned as no diabetes (A1c <5.7% [39 mmol/mol]), prediabetes (A1c 5.7 to 6.4% [46 mmol/mol]), and T2D (A1c >6.4% [46 mmol/mol]). Inclusion criteria were age >18 years and at least one of the following: a family history of diabetes, a history of gestational diabetes, Hispanic ethnicity, non-Caucasian race, or obesity. Subjects received a fasting 75-g OGTT and A1c on the same day. Bowker's test of symmetry was employed to determine agreement between the tests. RESULTS Data from 99 Hispanic patients and 79 NHW patients were analyzed. There was no concordance between A1c and OGTT for Hispanic (P = .002) or NHW individuals (P = .003) with prediabetes. CONCLUSION A1c is discordant with OGTT among Hispanic and NHW subjects for the diagnosis of prediabetes. Sole use of A1c to designate glycemic status will result in a greater prevalence of prediabetes among Hispanic and NHW New Mexicans. ABBREVIATIONS A1c = hemoglobin A1c BMI = body mass index CDC = Centers for Disease Control CI = confidence interval FPG = fasting plasma glucose NHW = non-Hispanic white OGTT = oral glucose tolerance test T2D = type 2 diabetes WHO = World Health Organization.
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Affiliation(s)
- Jenny E. Camacho
- Department of Pediatrics, University of New Mexico, MSC 10 5590, 1 University of New Mexico, Albuquerque, NM 87131
| | - Vallabh O. Shah
- Department of Molecular Biology and Biochemistry, University of New Mexico, MSC MSC08 4670, 1 University of New Mexico, Albuquerque, NM 87131
| | - Ronald Schrader
- Department of Internal Medicine/Endocrinology- 5 ACC; MSC 10 5590, 1 University of New Mexico, Albuquerque, NM 87131
| | - Craig S. Wong
- Department of Pediatrics, University of New Mexico, MSC 10 5590, 1 University of New Mexico, Albuquerque, NM 87131
| | - Mark R. Burge
- Department of Internal Medicine/Endocrinology- 5 ACC; MSC 10 5590, 1 University of New Mexico, Albuquerque, NM 87131
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23
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Di Pino A, Urbano F, Piro S, Purrello F, Rabuazzo AM. Update on pre-diabetes: Focus on diagnostic criteria and cardiovascular risk. World J Diabetes 2016; 7:423-432. [PMID: 27795816 PMCID: PMC5065662 DOI: 10.4239/wjd.v7.i18.423] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/07/2016] [Revised: 06/24/2016] [Accepted: 08/15/2016] [Indexed: 02/05/2023] Open
Abstract
Pre-diabetes, which is typically defined as blood glucose concentrations higher than normal but lower than the diabetes threshold, is a high-risk state for diabetes and cardiovascular disease development. As such, it represents three groups of individuals: Those with impaired fasting glucose (IFG), those with impaired glucose tolerance (IGT) and those with a glycated haemoglobin (HbA1c) between 39-46 mmol/mol. Several clinical trials have shown the important role of IFG, IGT and HbA1c-pre-diabetes as predictive tools for the risk of developing type 2 diabetes. Moreover, with regard to cardiovascular disease, pre-diabetes is associated with more advanced vascular damage compared with normoglycaemia, independently of confounding factors. In view of these observations, diagnosis of pre-diabetes is mandatory to prevent or delay the development of the disease and its complications; however, a number of previous studies reported that the concordance between pre-diabetes diagnoses made by IFG, IGT or HbA1c is scarce and there are conflicting data as to which of these methods best predicts cardiovascular disease. This review highlights recent studies and current controversies in the field. In consideration of the expected increased use of HbA1c as a screening tool to identify individuals with alteration of glycaemic homeostasis, we focused on the evidence regarding the ability of HbA1c as a diagnostic tool for pre-diabetes and as a useful marker in identifying patients who have an increased risk for cardiovascular disease. Finally, we reviewed the current evidence regarding non-traditional glycaemic biomarkers and their use as alternatives to or additions to traditional ones.
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24
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Abstract
Hemoglobin A1c (HbA1c) is a biomarker used for population-level screening of type 2 diabetes (T2D) and risk stratification. Large-scale, genome-wide association studies have identified multiple genomic loci influencing HbA1c. We discuss the challenges of classifying these genomic loci as influencing HbA1c through glycemic or nonglycemic pathways, based on their probable biology and pleiotropic associations with erythrocyte traits. We show that putative nonglycemic genetic variants have a measurable, albeit small, impact on the classification of T2D status by HbA1c in white and Asian populations. Accounting for their effect on HbA1c may be relevant when screening populations with higher frequencies of nonglycemic HbA1c-altering alleles. As carriers of such HbA1c-altering alleles have HbA1c levels that may not accurately reflect overall glycemia, we describe how accounting for genotype may improve the performance of HbA1c in T2D prediction models and risk stratification, allowing for lifestyle intervention strategies to be directed towards those who are truly at elevated risk for developing T2D. In a Mendelian randomization framework, genetic variants can be used as instrumental variables to estimate causal relationships between HbA1c and T2D-related complications. This approach may help to support or refute HbA1c as an appropriate biomarker for long-term health outcomes in the general population.
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Affiliation(s)
- Aaron Leong
- Massachusetts General Hospital, General Medicine Division, Boston, MA, USA
| | - James B Meigs
- Massachusetts General Hospital, General Medicine Division, Boston, MA, USA
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25
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Varma MC, Kusminski CM, Azharian S, Gilardini L, Kumar S, Invitti C, McTernan PG. Metabolic endotoxaemia in childhood obesity. BMC OBESITY 2016; 3:3. [PMID: 26819711 PMCID: PMC4728817 DOI: 10.1186/s40608-016-0083-7] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/04/2015] [Accepted: 01/19/2016] [Indexed: 12/26/2022]
Abstract
Background Childhood obesity is associated with chronic low-grade inflammation considered as a precursor to metabolic disease; however, the underlying mechanisms for this remain unclear. Studies in adults have implicated gut derived gram-negative bacterial fragments known as lipopolysaccharide or endotoxin, activating the inflammatory response, whilst the importance in childhood obesity is unclear. The aim of this research is to understand the relationship between circulating endotoxin in childhood obesity, and its’ association with inflammatory and cardiovascular (CV) injury biomarkers. Methods Fasted blood was obtained from children with varying degrees of obesity (age: 13.9 ± 2.3Yr; BMI: 35.1 ± 5.2 Kg/m2; n = 60). Multiplex CVD biomarker immunoassays were used to determine systemic levels of inflammatory and vascular injury biomarkers, such as tumour necrosis factor-α (TNF-α), interleukin (IL-) 1β, 6, 8 and 10, plasminogen activator inhibitor-1 (PAI-1), soluble intercellular adhesion molecule type-1 (sICAM-1), matrix metalloproteinase-9 (MMP-9), myeloperoxidase (MPO) and vascular endothelial growth factor (VEGF) as well as endotoxin levels. Results Endotoxin levels demonstrated a significant and positive correlation with the markers for inflammation, vascular injury and atherogenesis (TNF-α: r2 = 0.077, p < 0.05; PAI-1: r2 = 0.215, p < 0.01; sICAM-1: r2 = 0.159, p < 0.01; MMP-9: r2 = 0.159, p < 0.01; MPO: r2 = 0.07, p < 0.05; VEGF: r2 = 0.161, p < 0.01). Males demonstrated significantly higher circulating endotoxin than females (Males: 9.63 ± 5.34 EU/ml; p = 0.004; Females: 5.56 ± 4.06 EU/ml; n = 60) in these BMI and age-matched cohorts. Conclusion The present study demonstrates for the first time a significant association between circulating endotoxin and biomarkers of metabolic risk in children as young as 11 years. Thus, endotoxin-mediated sub-clinical inflammation during childhood obesity may be a key contributor to T2DM and CVD development later in life.
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Affiliation(s)
- Madhusudhan C Varma
- Division of Biomedical sciences,, Warwick Medical School, University of Warwick, UHCW Trust, Clifford Bridge Road, Walsgrave, Coventry CV2 2DX UK
| | - Christine M Kusminski
- Division of Biomedical sciences,, Warwick Medical School, University of Warwick, UHCW Trust, Clifford Bridge Road, Walsgrave, Coventry CV2 2DX UK
| | - Sahar Azharian
- Division of Biomedical sciences,, Warwick Medical School, University of Warwick, UHCW Trust, Clifford Bridge Road, Walsgrave, Coventry CV2 2DX UK
| | - Luisa Gilardini
- Department of Medical Sciences & Rehabilitation, IRCCS Istituto Auxologico Italiano, Via Ariosto 13, 20145 Milan, Italy
| | - Sudhesh Kumar
- Division of Biomedical sciences,, Warwick Medical School, University of Warwick, UHCW Trust, Clifford Bridge Road, Walsgrave, Coventry CV2 2DX UK
| | - Cecilia Invitti
- Department of Medical Sciences & Rehabilitation, IRCCS Istituto Auxologico Italiano, Via Ariosto 13, 20145 Milan, Italy
| | - Philip G McTernan
- Division of Biomedical sciences,, Warwick Medical School, University of Warwick, UHCW Trust, Clifford Bridge Road, Walsgrave, Coventry CV2 2DX UK
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Leahy S, O' Halloran AM, O' Leary N, Healy M, McCormack M, Kenny RA, O' Connell J. Prevalence and correlates of diagnosed and undiagnosed type 2 diabetes mellitus and pre-diabetes in older adults: Findings from the Irish Longitudinal Study on Ageing (TILDA). Diabetes Res Clin Pract 2015; 110:241-9. [PMID: 26520567 DOI: 10.1016/j.diabres.2015.10.015] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/03/2015] [Revised: 10/07/2015] [Accepted: 10/08/2015] [Indexed: 12/11/2022]
Abstract
AIMS The prevalence of type 2 diabetes and pre-diabetes has increased rapidly in recent decades and this trend will continue as the global population ages. This study investigates the prevalence of, and factors associated with, diagnosed and undiagnosed type 2 diabetes mellitus and pre-diabetes in older adults in Ireland. METHODS Cross-sectional data from 5377 men and women aged 50 and over from Wave 1 of the Irish Longitudinal Study on Ageing (TILDA) was analysed. Diagnosed diabetes was defined using self-reported doctors' diagnosis and medications data. Glycated haemoglobin (HbA1c) analysis was used to identify undiagnosed and pre-diabetes. Age and sex-specific prevalence estimates were generated. Logistic regression was used to investigate the association between diabetes classification and the demographic, health and lifestyle characteristics of the population. RESULTS The prevalence of diagnosed and undiagnosed type 2 diabetes was 8.6% (95% confidence interval (CI): 7.6-9.5%) and 0.9% (95% CI: 0.6-1.1%) respectively. Diabetes was more prevalent in men than women and increased with age. The prevalence of pre-diabetes was 5.5% (95% CI: 4.8-6.3%) and increased with age. Diabetes and pre-diabetes were independently associated with male sex, central obesity and a history of hypertension, while undiagnosed diabetes was associated with geographic location and medical costs cover. CONCLUSION Despite high rates of obesity and other undiagnosed health conditions, the prevalence of undiagnosed and pre-diabetes is relatively low in community-dwelling older adults in Ireland. Addressing lifestyle factors in this population may help to further reduce the prevalence of pre-diabetes and improve outcomes for those with a previous diagnosis.
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Affiliation(s)
- S Leahy
- The Irish Longitudinal Study on Ageing, Trinity College Dublin, Dublin 2, Ireland.
| | - A M O' Halloran
- The Irish Longitudinal Study on Ageing, Trinity College Dublin, Dublin 2, Ireland
| | - N O' Leary
- The Irish Longitudinal Study on Ageing, Trinity College Dublin, Dublin 2, Ireland
| | - M Healy
- Department of Biochemistry, Central Pathology Laboratory, St. James' Hospital, Dublin 8, Ireland
| | - M McCormack
- Department of Biochemistry, Central Pathology Laboratory, St. James' Hospital, Dublin 8, Ireland
| | - R A Kenny
- The Irish Longitudinal Study on Ageing, Trinity College Dublin, Dublin 2, Ireland
| | - J O' Connell
- Blackrock Clinic, Blackrock, Co. Dublin, Ireland
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