1
|
Hu T, Li W, Xu K, Chen K, Li X, Yi H, Ni Z. Portable and Intelligent Urine Glucose Analyzer Based on a CdTe QDs@GOx Aerogel Circular Array Sensor. ACS OMEGA 2021; 6:32655-32662. [PMID: 34901614 PMCID: PMC8655949 DOI: 10.1021/acsomega.1c03449] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Accepted: 10/26/2021] [Indexed: 05/05/2023]
Abstract
Diabetes is a public health problem characterized by hyperglycemia, high mortality, and morbidity. A simple, rapid, and sensitive glucose detection method for diabetes screening and health self-management of patients with diabetes is of great significance. Therefore, an attractive urine glucose (UG) analyzer with advantages of fastness, sensitivity, and portability was developed. A cadmium telluride quantum dots (CdTe QDs)@glucose oxidase (GOx) aerogel circular array sensor can emit visible red fluorescence when excited by a 365 nm ultraviolet light source inside the analyzer. When urine samples containing glucose were dropped onto the sensor, glucose was oxidized by GOx to produce hydrogen peroxide (H2O2), which quenched the red fluorescence of CdTe QDs. The fluorescence images of the sensor were obtained using a CCD camera, and the linear relationship between the glucose concentration and the gray value of the fluorescence image was established. The analyzer shows good sensitivity (LOD, 0.12 mM) with a wide linear range of 0.12-26 mM. Based on the linear relation, the software of the analyzer was written in the C++ language, which can automatically give the gray value of the image and the corresponding glucose concentration. The UG analyzer was used for the detection of a large number clinical samples and compared with a variety of UG test papers, which all showed good detection performance. The novel analyzer we proposed has an important significance in the screening of diabetes and the self-management of diabetic patients.
Collapse
Affiliation(s)
| | | | | | | | - Xiao Li
- .
Phone: 86-025-52090518. Fax: 86-025-52090504
| | - Hong Yi
- . Phone: 86-025-52090504. Fax: 86-025-52090504
| | - Zhonghua Ni
- . Phone: 86-025-52090518. Fax: 86-025-52090504
| |
Collapse
|
2
|
Lee M, Ohde S. PM 2.5 and Diabetes in the Japanese Population. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18126653. [PMID: 34205663 PMCID: PMC8296336 DOI: 10.3390/ijerph18126653] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Revised: 06/07/2021] [Accepted: 06/09/2021] [Indexed: 12/24/2022]
Abstract
Growing evidence suggests that PM2.5 is associated with diabetes mellitus (DM). Although DM is a major public health concern, there has not yet been a study of this association in Japan. We used health examination data from 66,885 individuals in Tokyo, Japan 2005–2019. Cox proportional hazards models were used to evaluate an association between annual exposure to PM2.5 and glycated hemoglobin A1c (HbA1c), or fasting plasma glucose (FPG). An increase of 1 μg/m3 in the annual average of PM2.5 concentration was associated (HR = 1.029; 95% CI = 1.004–1.055) with an increase in diabetes (incident + prevalent). For incident DM, a greater PM2.5 level was associated with more DM (HR = 1.029; 95% CI, 1.003–1.055). Compared to HbA1c, FPG showed a stronger association with the annual exposure to PM2.5 (HR = 1.065; 95% CI, 1.040–1.091). We found that greater exposure to PM2.5 in the long-term was associated with an increased risk of diabetes, and that the magnitude of association became stronger as the exposure duration increased. Omorogieva Ojo
Collapse
Affiliation(s)
- Mihye Lee
- Correspondence: ; Tel./Fax: +81-3-3541-5151
| | | |
Collapse
|
3
|
Wang S, Niu J, Zhao Z, Xu M, Lu J, Li M, Wang T, Chen Y, Wang S, Dai M, Zheng R, Zhu Y, Wang W, Ning G, Bi Y, Xu Y. Detection of diabetes and prediabetes using glycosylated hemoglobin in Chinese adults living in Shanghai: A prospective analysis. J Diabetes 2020; 12:573-582. [PMID: 32119184 DOI: 10.1111/1753-0407.13028] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2019] [Revised: 01/27/2020] [Accepted: 02/26/2020] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND This study aimed to evaluate the discriminative abilities of glycosylated hemoglobin (HbA1c) and to examine the optimal HbA1c cutoff values for diabetes and prediabetes in Chinese adults. METHODS Data of a population-based cohort of Chinese adults aged ≥40 years living in Jiading District in Shanghai were used. At baseline, 9389 and 7241 participants were included to identify the optimal HbA1c cutoff values for diabetes and prediabetes, respectively using the 1999 World Health Organization criteria as reference. In addition, the follow-up data on incident diabetes of 4538 participants were used to determine the HbA1c cutoff value for prediabetes using the development of diabetes as reference. The discriminative abilities of HbA1c were evaluated using receiver operating characteristic (ROC) curves, and the optimal cutoff values were determined by Youden's index. RESULTS The areas under the ROC curves were 0.849 for diabetes, 0.614 for prediabetes using baseline data, and 0.648 for prediabetes using follow-up data. An HbA1c cutoff value of 6.0% had the largest Youden's index to diagnose diabetes with a sensitivity of 70.2% and a specificity of 87.4%. An HbA1c cutoff value of 5.6% was indicated for prediabetes using both baseline and follow-up data. However, the sensitivity and specificity were both low (55.4% and 61.1% using an oral glucose tolerance test as reference, 64.6% and 57.1% using incident diabetes as reference). CONCLUSIONS An HbA1c value ≥6.0% could be used to detect diabetes in Chinese adults aged ≥40 years. However, although an HbA1c value of 5.6% to 5.9% was indicated in this study, the overall discrimination of HbA1c for prediabetes was poor.
Collapse
Affiliation(s)
- Shanshan Wang
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Jingya Niu
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Zhiyun Zhao
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Min Xu
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Jieli Lu
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Mian Li
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Tiange Wang
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Yuhong Chen
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Shuangyuan Wang
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Meng Dai
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Ruizhi Zheng
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Yuanyue Zhu
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Weiqing Wang
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Guang Ning
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Yufang Bi
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Yu Xu
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| |
Collapse
|
4
|
Yokoyama M, Saito I, Ueno M, Kato H, Yoshida A, Kawamura R, Maruyama K, Takata Y, Osawa H, Tanigawa T, Sugiyama T. Low birthweight is associated with type 2 diabetes mellitus in Japanese adults: The Toon Health Study. J Diabetes Investig 2020; 11:1643-1650. [PMID: 32298536 PMCID: PMC7610122 DOI: 10.1111/jdi.13274] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/16/2020] [Revised: 03/11/2020] [Accepted: 04/07/2020] [Indexed: 01/05/2023] Open
Abstract
Aims/Introduction Low birthweight is reportedly associated with type 2 diabetes mellitus; however, this association has not been confirmed in the Japanese population, and whether high birthweight is associated with type 2 diabetes mellitus is controversial. We aimed to investigate the association between birthweight and type 2 diabetes mellitus among a general Japanese population. Materials and Methods Overall 1,135 middle‐ to old‐aged Japanese men and women were enrolled in the Toon Health Study. A 75‐g oral glucose tolerance test was used to diagnose type 2 diabetes mellitus, and a questionnaire survey about birthweight was administered. The association between birthweight and the prevalence of type 2 diabetes mellitus in later life of the participants was examined using multivariable logistic regression analysis. Stratified analysis by current body mass index was also carried out. Results The mean age was 56.5 ± 12.2 years. Type 2 diabetes mellitus was observed in 9.3% of the participants in this study. Compared with the reference group (2,500–3,999 g), the adjusted odds ratio of the low‐birthweight group (<2,500 g) for type 2 diabetes mellitus was 2.46 (95% confidence interval 1.48–4.10). The association between the high‐birthweight group (≥4000 g) and type 2 diabetes mellitus was not significant after including family history of diabetes in the multivariable model. The odds ratio of the low‐birthweight group for type 2 diabetes mellitus was higher in the overweight/obese group than in the non‐overweight group. Conclusions Low birthweight was associated with an increased risk of type 2 diabetes mellitus in a Japanese population, especially in overweight/obese individuals.
Collapse
Affiliation(s)
- Maki Yokoyama
- Department of Obstetrics and Gynecology, Ehime University Graduate School of Medicine, Toon, Japan
| | - Isao Saito
- Department of Public Health and Epidemiology, Faculty of Medicine, Oita University, Yubu, Japan
| | - Megumi Ueno
- Department of Obstetrics and Gynecology, Ehime University Graduate School of Medicine, Toon, Japan
| | - Hiroaki Kato
- Department of Obstetrics and Gynecology, Ehime University Graduate School of Medicine, Toon, Japan
| | - Ayaka Yoshida
- Department of Obstetrics and Gynecology, Ehime University Graduate School of Medicine, Toon, Japan
| | - Ryoichi Kawamura
- Department of Diabetes and Molecular Genetics, Ehime University Graduate School of Medicine, Toon, Japan
| | - Koutatsu Maruyama
- Laboratory of Community Health and Nutrition, Special Course of Food and Health Science, Department of Bioscience, Graduate School of Agriculture, Ehime University, Matsuyama, Japan
| | - Yasunori Takata
- Department of Diabetes and Molecular Genetics, Ehime University Graduate School of Medicine, Toon, Japan
| | - Haruhiko Osawa
- Department of Diabetes and Molecular Genetics, Ehime University Graduate School of Medicine, Toon, Japan
| | - Takeshi Tanigawa
- Department of Public Health, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Takashi Sugiyama
- Department of Obstetrics and Gynecology, Ehime University Graduate School of Medicine, Toon, Japan
| |
Collapse
|
5
|
Basit A, Fawwad A, Abdul Basit K, Waris N, Tahir B, Siddiqui IA. Glycated hemoglobin (HbA1c) as diagnostic criteria for diabetes: the optimal cut-off points values for the Pakistani population; a study from second National Diabetes Survey of Pakistan (NDSP) 2016-2017. BMJ Open Diabetes Res Care 2020; 8:8/1/e001058. [PMID: 32423963 PMCID: PMC7239497 DOI: 10.1136/bmjdrc-2019-001058] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2019] [Revised: 02/01/2020] [Accepted: 03/24/2020] [Indexed: 01/21/2023] Open
Abstract
AIM Glycated hemoglobin (HbA1c) cut-off values as diagnostic tool in diabetes and prediabetes with its concordance to oral glucose tolerance test (OGTT) in Pakistani population. METHODOLOGY Data for this substudy was obtained from second National Diabetes Survey of Pakistan (NDSP) 2016-2017. With this survey, 10 834 individuals were recruited and after excluding known subjects with diabetes, 6836 participants fulfilled inclusion criteria for this study. Demographic, anthropometric and biochemical parameters were obtained. OGTT was used as standard diagnostic tool to screen population and HbA1c for optimal cut-off values. Participants were categorized into normal glucose tolerance (NGT), newly diagnosed diabetes (NDD) and prediabetes. RESULTS Out of 6836 participants, 4690 (68.6%) had NGT, 1333 (19.5%) had prediabetes and 813 (11.9%) had NDD by OGTT criteria with median (IQR) age of 40 (31-50) years. Optimal HbA1c cut-off point for identification of diabetes and prediabetes was observed as 5.7% ((AUC (95% CI)=0.776 (0.757 to 0.795), p<0.0001)) and 5.1% ((AUC (95% CI)=0.607 (0.590 to 0.624), p<0.0001)), respectively. However, out of 68.6% NGT subjects identified through OGTT, 24.1% and 9.3% participants were found to have prediabetes and NDD, respectively by using HbA1c criteria. By using both OGTT and HbA1c criteria, only 7.9% and 7.3% were observed as prediabetes and diabetes, respectively. CONCLUSION Findings from second NDSP demonstrated disagreement between findings of OGTT and HbA1c as diagnostic tool for Pakistani population. As compared with international guidelines, HbA1c threshold for prediabetes and NDD were lower in this part of world. HbA1c as diagnostic tool might require ethnic or regional-based modification in cut-off points, validated by relevant community-based epidemiological surveys.
Collapse
Affiliation(s)
- Abdul Basit
- Department of Medicine, Baqai Institute of Diabetology and Endocrinology, Baqai Medical University, Karachi, Pakistan
| | - Asher Fawwad
- Department of Biochemistry, Baqai Medical University, Karachi, Pakistan
- Department of Research, Baqai Institute of Diabetology and Endocrinology, Baqai Medical University, Karachi, Pakistan
| | - Khalid Abdul Basit
- Department of Research, Baqai Institute of Diabetology and Endocrinology, Baqai Medical University, Karachi, Pakistan
- Department of Acute Medicine, Whipps Cross University Hospital, Bart's Health NHS Trust, London, UK
| | - Nazish Waris
- Department of Research, Baqai Institute of Diabetology and Endocrinology, Baqai Medical University, Karachi, Pakistan
- Clinical Biochemistry and Psychopharmacology Research Unit, Department of Biochemistry, University of Karachi, Karachi, Pakistan
| | - Bilal Tahir
- Department of Research, Baqai Institute of Diabetology and Endocrinology, Baqai Medical University, Karachi, Pakistan
| | | |
Collapse
|
6
|
HbA1c: High in acute cerebral infarction and low in brain trauma. PROGRESS IN MOLECULAR BIOLOGY AND TRANSLATIONAL SCIENCE 2019; 162:293-306. [DOI: 10.1016/bs.pmbts.2019.01.008] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
|
7
|
Richter B, Hemmingsen B, Metzendorf M, Takwoingi Y. Development of type 2 diabetes mellitus in people with intermediate hyperglycaemia. Cochrane Database Syst Rev 2018; 10:CD012661. [PMID: 30371961 PMCID: PMC6516891 DOI: 10.1002/14651858.cd012661.pub2] [Citation(s) in RCA: 91] [Impact Index Per Article: 15.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
BACKGROUND Intermediate hyperglycaemia (IH) is characterised by one or more measurements of elevated blood glucose concentrations, such as impaired fasting glucose (IFG), impaired glucose tolerance (IGT) and elevated glycosylated haemoglobin A1c (HbA1c). These levels are higher than normal but below the diagnostic threshold for type 2 diabetes mellitus (T2DM). The reduced threshold of 5.6 mmol/L (100 mg/dL) fasting plasma glucose (FPG) for defining IFG, introduced by the American Diabetes Association (ADA) in 2003, substantially increased the prevalence of IFG. Likewise, the lowering of the HbA1c threshold from 6.0% to 5.7% by the ADA in 2010 could potentially have significant medical, public health and socioeconomic impacts. OBJECTIVES To assess the overall prognosis of people with IH for developing T2DM, regression from IH to normoglycaemia and the difference in T2DM incidence in people with IH versus people with normoglycaemia. SEARCH METHODS We searched MEDLINE, Embase, ClincialTrials.gov and the International Clinical Trials Registry Platform (ICTRP) Search Portal up to December 2016 and updated the MEDLINE search in February 2018. We used several complementary search methods in addition to a Boolean search based on analytical text mining. SELECTION CRITERIA We included prospective cohort studies investigating the development of T2DM in people with IH. We used standard definitions of IH as described by the ADA or World Health Organization (WHO). We excluded intervention trials and studies on cohorts with additional comorbidities at baseline, studies with missing data on the transition from IH to T2DM, and studies where T2DM incidence was evaluated by documents or self-report only. DATA COLLECTION AND ANALYSIS One review author extracted study characteristics, and a second author checked the extracted data. We used a tailored version of the Quality In Prognosis Studies (QUIPS) tool for assessing risk of bias. We pooled incidence and incidence rate ratios (IRR) using a random-effects model to account for between-study heterogeneity. To meta-analyse incidence data, we used a method for pooling proportions. For hazard ratios (HR) and odds ratios (OR) of IH versus normoglycaemia, reported with 95% confidence intervals (CI), we obtained standard errors from these CIs and performed random-effects meta-analyses using the generic inverse-variance method. We used multivariable HRs and the model with the greatest number of covariates. We evaluated the certainty of the evidence with an adapted version of the GRADE framework. MAIN RESULTS We included 103 prospective cohort studies. The studies mainly defined IH by IFG5.6 (FPG mmol/L 5.6 to 6.9 mmol/L or 100 mg/dL to 125 mg/dL), IFG6.1 (FPG 6.1 mmol/L to 6.9 mmol/L or 110 mg/dL to 125 mg/dL), IGT (plasma glucose 7.8 mmol/L to 11.1 mmol/L or 140 mg/dL to 199 mg/dL two hours after a 75 g glucose load on the oral glucose tolerance test, combined IFG and IGT (IFG/IGT), and elevated HbA1c (HbA1c5.7: HbA1c 5.7% to 6.4% or 39 mmol/mol to 46 mmol/mol; HbA1c6.0: HbA1c 6.0% to 6.4% or 42 mmol/mol to 46 mmol/mol). The follow-up period ranged from 1 to 24 years. Ninety-three studies evaluated the overall prognosis of people with IH measured by cumulative T2DM incidence, and 52 studies evaluated glycaemic status as a prognostic factor for T2DM by comparing a cohort with IH to a cohort with normoglycaemia. Participants were of Australian, European or North American origin in 41 studies; Latin American in 7; Asian or Middle Eastern in 50; and Islanders or American Indians in 5. Six studies included children and/or adolescents.Cumulative incidence of T2DM associated with IFG5.6, IFG6.1, IGT and the combination of IFG/IGT increased with length of follow-up. Cumulative incidence was highest with IFG/IGT, followed by IGT, IFG6.1 and IFG5.6. Limited data showed a higher T2DM incidence associated with HbA1c6.0 compared to HbA1c5.7. We rated the evidence for overall prognosis as of moderate certainty because of imprecision (wide CIs in most studies). In the 47 studies reporting restitution of normoglycaemia, regression ranged from 33% to 59% within one to five years follow-up, and from 17% to 42% for 6 to 11 years of follow-up (moderate-certainty evidence).Studies evaluating the prognostic effect of IH versus normoglycaemia reported different effect measures (HRs, IRRs and ORs). Overall, the effect measures all indicated an elevated risk of T2DM at 1 to 24 years of follow-up. Taking into account the long-term follow-up of cohort studies, estimation of HRs for time-dependent events like T2DM incidence appeared most reliable. The pooled HR and the number of studies and participants for different IH definitions as compared to normoglycaemia were: IFG5.6: HR 4.32 (95% CI 2.61 to 7.12), 8 studies, 9017 participants; IFG6.1: HR 5.47 (95% CI 3.50 to 8.54), 9 studies, 2818 participants; IGT: HR 3.61 (95% CI 2.31 to 5.64), 5 studies, 4010 participants; IFG and IGT: HR 6.90 (95% CI 4.15 to 11.45), 5 studies, 1038 participants; HbA1c5.7: HR 5.55 (95% CI 2.77 to 11.12), 4 studies, 5223 participants; HbA1c6.0: HR 10.10 (95% CI 3.59 to 28.43), 6 studies, 4532 participants. In subgroup analyses, there was no clear pattern of differences between geographic regions. We downgraded the evidence for the prognostic effect of IH versus normoglycaemia to low-certainty evidence due to study limitations because many studies did not adequately adjust for confounders. Imprecision and inconsistency required further downgrading due to wide 95% CIs and wide 95% prediction intervals (sometimes ranging from negative to positive prognostic factor to outcome associations), respectively.This evidence is up to date as of 26 February 2018. AUTHORS' CONCLUSIONS Overall prognosis of people with IH worsened over time. T2DM cumulative incidence generally increased over the course of follow-up but varied with IH definition. Regression from IH to normoglycaemia decreased over time but was observed even after 11 years of follow-up. The risk of developing T2DM when comparing IH with normoglycaemia at baseline varied by IH definition. Taking into consideration the uncertainty of the available evidence, as well as the fluctuating stages of normoglycaemia, IH and T2DM, which may transition from one stage to another in both directions even after years of follow-up, practitioners should be careful about the potential implications of any active intervention for people 'diagnosed' with IH.
Collapse
Affiliation(s)
- Bernd Richter
- Institute of General Practice, Medical Faculty of the Heinrich‐Heine‐University DüsseldorfCochrane Metabolic and Endocrine Disorders GroupPO Box 101007DüsseldorfGermany40001
| | - Bianca Hemmingsen
- Institute of General Practice, Medical Faculty of the Heinrich‐Heine‐University DüsseldorfCochrane Metabolic and Endocrine Disorders GroupPO Box 101007DüsseldorfGermany40001
| | - Maria‐Inti Metzendorf
- Institute of General Practice, Medical Faculty of the Heinrich‐Heine‐University DüsseldorfCochrane Metabolic and Endocrine Disorders GroupPO Box 101007DüsseldorfGermany40001
| | - Yemisi Takwoingi
- University of BirminghamInstitute of Applied Health ResearchEdgbastonBirminghamUKB15 2TT
| | | |
Collapse
|
8
|
Zhou X, Ruan X, Hao L, Zhou Y, Gu J, Qiu H, Wu K, Yu S, Rui X, Wang X, Liu X, Ke J, Zhao G, Sun Q. Optimal hemoglobin A1C cutoff value for diabetes mellitus and pre-diabetes in Pudong New Area, Shanghai, China. Prim Care Diabetes 2018; 12:238-244. [PMID: 29370998 DOI: 10.1016/j.pcd.2017.12.006] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2017] [Revised: 12/19/2017] [Accepted: 12/27/2017] [Indexed: 11/15/2022]
Abstract
AIMS Due to the diversity of the Chinese population, it requires considerable research to evaluate HbA1c diagnostic threshold for diagnosis of hyperglycemia. METHODS We included 7909 subjects aged ≥15 without known diabetes from the baseline of Pudong community cohort in 2013. Participants took oral glucose tolerance test (OGTT) and HbA1c assay. Receiver operating characteristic curve determined the HbA1c threshold in the diagnosis of hyperglycemia. RESULTS The optimal HbA1C threshold for diagnosing newly diagnosed diabetes (NDD) and pre-diabetes in this population was 6.0% (AUC=0.798, 95%CI: 0.779-0.818) and 5.6% (AUC=0.655, 95%CI: 0.638-0.671). When compared with elderly age group (≥70 years), HbA1c for detecting NDD performed better in youth (15-39 years: P=0.003, 40-49 years: P<0.001). There were 13.81% and 13.34% of participants would be newly detected as NDD and pre-diabetes via HbA1c criteria; meanwhile 3.20% and 15.52% diagnosed as NDD and pre-diabetes by OGTT criteria would be missed diagnosis. CONCLUSIONS The optimal HbA1c thresholds for NDD and pre-diabetes were lower than ADA criteria. It is necessary to carefully consider whether choose HbA1c as a diagnostic criterion or combine two diagnostic standards. Age-specific diagnostic thresholds should be considered when HbA1c was recommended as diagnostic standard.
Collapse
Affiliation(s)
- Xianfeng Zhou
- School of Public Health, Fudan University, No. 130, Dongan Road, Shanghai 200032, China; Center for Disease Prevention and Control, Pudong Preventive Medicine Research Institute of Fudan University, Pudong New Area, No. 3039, Zhangyang Road, Shanghai 200136, China
| | - Xiaonan Ruan
- Center for Disease Prevention and Control, Pudong Preventive Medicine Research Institute of Fudan University, Pudong New Area, No. 3039, Zhangyang Road, Shanghai 200136, China
| | - Lipeng Hao
- Center for Disease Prevention and Control, Pudong Preventive Medicine Research Institute of Fudan University, Pudong New Area, No. 3039, Zhangyang Road, Shanghai 200136, China
| | - Yi Zhou
- Center for Disease Prevention and Control, Pudong Preventive Medicine Research Institute of Fudan University, Pudong New Area, No. 3039, Zhangyang Road, Shanghai 200136, China
| | - Jianjun Gu
- Health and Family Planning Commission, Pudong New Area, No. 990, Chengshan Road, 200125 Shanghai, China
| | - Hua Qiu
- Center for Disease Prevention and Control, Pudong Preventive Medicine Research Institute of Fudan University, Pudong New Area, No. 3039, Zhangyang Road, Shanghai 200136, China
| | - Kang Wu
- Center for Disease Prevention and Control, Pudong Preventive Medicine Research Institute of Fudan University, Pudong New Area, No. 3039, Zhangyang Road, Shanghai 200136, China
| | - Siyu Yu
- Center for Disease Prevention and Control, Pudong Preventive Medicine Research Institute of Fudan University, Pudong New Area, No. 3039, Zhangyang Road, Shanghai 200136, China
| | - Xinyi Rui
- Center for Disease Prevention and Control, Pudong Preventive Medicine Research Institute of Fudan University, Pudong New Area, No. 3039, Zhangyang Road, Shanghai 200136, China
| | - Xiaonan Wang
- Center for Disease Prevention and Control, Pudong Preventive Medicine Research Institute of Fudan University, Pudong New Area, No. 3039, Zhangyang Road, Shanghai 200136, China
| | - Xiaolin Liu
- Center for Disease Prevention and Control, Pudong Preventive Medicine Research Institute of Fudan University, Pudong New Area, No. 3039, Zhangyang Road, Shanghai 200136, China
| | - Juzhong Ke
- Center for Disease Prevention and Control, Pudong Preventive Medicine Research Institute of Fudan University, Pudong New Area, No. 3039, Zhangyang Road, Shanghai 200136, China
| | - Genming Zhao
- School of Public Health, Fudan University, No. 130, Dongan Road, Shanghai 200032, China.
| | - Qiao Sun
- Center for Disease Prevention and Control, Pudong Preventive Medicine Research Institute of Fudan University, Pudong New Area, No. 3039, Zhangyang Road, Shanghai 200136, China.
| |
Collapse
|
9
|
Shu H, Lu J, Zhang P, Zhu D, Li X, Ji J, Zhao F, Ji L. Clinical characteristics of type 2 diabetes patients with discordance between HbA 1c and fasting plasma glucose in the real world: An analysis of the ORBIT study. Diabetes Metab Res Rev 2018; 34:e2977. [PMID: 29314667 DOI: 10.1002/dmrr.2977] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2017] [Revised: 11/27/2017] [Accepted: 12/12/2017] [Indexed: 12/16/2022]
Abstract
BACKGROUND We aimed to determine the clinical characteristics of type 2 diabetes patients on basal insulin therapy with inadequate glucose control due to discordance between glycated haemoglobin (HbA1c ) and fasting plasma glucose (FPG) in the real world. METHODS This was a retrospective analysis of data from the ORBIT study in China. Clinical characteristics of patients with discordance between HbA1c and FPG at baseline and at the end of 6 months of follow-up were analysed using multinomial logistic regression in 4 study groups divided by HbA1c and FPG. RESULTS Overall, of 6721 patients initiated on basal insulin, 853 achieved HbA1c < 7% but FPG ≥ 7 mmol/L (group 2), while 997 had FPG < 7 mmol/L but HbA1c ≥ 7% (group 3) at the end of follow-up. Patients in group 3 had a longer duration of type 2 diabetes compared with those in group 2 (7.22 ± 5.30 vs 6.00 ± 4.80 y, P < .05). Patients on glargine (32.90%) or detemir (36.88%) treatment accounted for a higher proportion of patients with both HbA1c and FPG controlled than those on neutral protamine Hagedorn therapy (23.45%; P < .05). Per the multinomial logistic analysis, higher frequency of self-monitoring of blood glucose (SMBG) and use of glargine or detemir therapy were significantly inversely associated with risk of discordance between HbA1c and FPG, while dose of insulin was a risk factor for discordance at the end of follow-up (all P < .05). CONCLUSIONS Patients treated with insulin analogues (glargine or detemir), instead of neutral protamine Hagedorn, and with more frequent SMBG are more likely to exhibit concordance between HbA1c and FPG.
Collapse
Affiliation(s)
- Hua Shu
- Department of Endocrinology, Chinese PLA General Hospital, Beijing, China
- Department of Endocrinology and Metabolism, Tianjin Medical University General Hospital, Tianjin, China
| | - Juming Lu
- Department of Endocrinology, Chinese PLA General Hospital, Beijing, China
| | - Puhong Zhang
- The George Institute for Global Health at Peking University Health Science Center, Beijing, China
| | - Dongshan Zhu
- The George Institute for Global Health at Peking University Health Science Center, Beijing, China
| | - Xian Li
- The George Institute for Global Health at Peking University Health Science Center, Beijing, China
| | - Jiachao Ji
- The George Institute for Global Health at Peking University Health Science Center, Beijing, China
| | - Fang Zhao
- The George Institute for Global Health at Peking University Health Science Center, Beijing, China
| | - Linong Ji
- Department of Endocrinology, Peking University People's Hospital, Beijing, China
| |
Collapse
|
10
|
Leong A, Daya N, Porneala B, Devlin JJ, Shiffman D, McPhaul MJ, Selvin E, Meigs JB. Prediction of Type 2 Diabetes by Hemoglobin A 1c in Two Community-Based Cohorts. Diabetes Care 2018; 41:60-68. [PMID: 29074816 PMCID: PMC5741154 DOI: 10.2337/dc17-0607] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/26/2017] [Accepted: 09/23/2017] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Hemoglobin A1c (HbA1c) can be used to assess type 2 diabetes (T2D) risk. We asked whether HbA1c was associated with T2D risk in four scenarios of clinical information availability: 1) HbA1c alone, 2) fasting laboratory tests, 3) clinic data, and 4) fasting laboratory tests and clinic data. RESEARCH DESIGN AND METHODS We studied a prospective cohort of white (N = 11,244) and black (N = 2,294) middle-aged participants without diabetes in the Framingham Heart Study and Atherosclerosis Risk in Communities study. Association of HbA1c with incident T2D (defined by medication use or fasting glucose [FG] ≥126 mg/dL) was evaluated in regression models adjusted for 1) age and sex (demographics); 2) demographics, FG, HDL, and triglycerides; 3) demographics, BMI, blood pressure, and T2D family history; or 4) all preceding covariates. We combined results from cohort and race analyses by random-effects meta-analyses. Subsidiary analyses tested the association of HbA1c with developing T2D within 8 years or only after 8 years. RESULTS Over 20 years, 3,315 individuals developed T2D. With adjustment for demographics, the odds of T2D increased fourfold for each percentage-unit increase in HbA1c. The odds ratio (OR) was 4.00 (95% CI 3.14, 5.10) for blacks and 4.73 (3.10, 7.21) for whites, resulting in a combined OR of 4.50 (3.35, 6.03). After adjustment for fasting laboratory tests and clinic data, the combined OR was 2.68 (2.15, 3.34) over 20 years, 5.79 (2.51, 13.36) within 8 years, and 2.23 (1.94, 2.57) after 8 years. CONCLUSIONS HbA1c predicts T2D in different common scenarios and is useful for identifying individuals with elevated T2D risk in both the short- and long-term.
Collapse
Affiliation(s)
- Aaron Leong
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA.,Harvard Medical School, Boston, MA
| | - Natalie Daya
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Bianca Porneala
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA
| | | | | | | | | | - James B Meigs
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA .,Harvard Medical School, Boston, MA
| |
Collapse
|
11
|
Wu L, Lin H, Gao J, Li X, Xia M, Wang D, Aleteng Q, Ma H, Pan B, Gao X. Effect of age on the diagnostic efficiency of HbA1c for diabetes in a Chinese middle-aged and elderly population: The Shanghai Changfeng Study. PLoS One 2017; 12:e0184607. [PMID: 28886160 PMCID: PMC5591004 DOI: 10.1371/journal.pone.0184607] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2017] [Accepted: 08/28/2017] [Indexed: 01/02/2023] Open
Abstract
Background and aims Glycated hemoglobin A1c (HbA1c) ≥6.5% (or 48mmol/mol) has been recommended as a new diagnostic criterion for diabetes; however, limited literature is available regarding the effect of age on the HbA1c for diagnosing diabetes and the causes for this age effect remain unknown. In this study, we investigated whether and why age affects the diagnostic efficiency of HbA1c for diabetes in a community-based Chinese population. Methods In total, 4325 participants without previously known diabetes were enrolled in this study. Participants were stratified by age. Receiver operating characteristic curve (ROC) was plotted for each age group and the area under the curve (AUC) represented the diagnostic efficiency of HbA1c for diabetes defined by the plasma glucose criteria. The area under the ROC curve in each one-year age group was defined as AUCage. Multiple regression analyses were performed to identify factors inducing the association between age and AUCage based on the changes in the β and P values of age. Results The current threshold of HbA1c (≥6.5% or 48mmol/mol) showed low sensitivity (35.6%) and high specificity (98.9%) in diagnosing diabetes. ROC curve analyses showed that the diagnostic efficiency of HbA1c in the ≥75 years age group was significantly lower than that in the 45–54 years age group (AUC: 0.755 vs. 0.878; P<0.001). Pearson correlation analysis showed that the AUCage of HbA1c was negatively correlated with age (r = -0.557, P = 0.001). When adjusting the red blood cell (RBC) count in the multiple regression model, the negative association between age and AUCage disappeared, with the regression coefficient of age reversed to 0.001 and the P value increased to 0.856. Conclusions The diagnostic efficiency of HbA1c for diabetes decreased with aging, and this age effect was induced by the decreasing RBC count with age. HbA1c is unsuitable for diagnosing diabetes in elderly individuals because of their physiologically decreased RBC count.
Collapse
Affiliation(s)
- Li Wu
- Department of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, China
- Fudan Institute for Metabolic Diseases, Shanghai, China
| | - Huandong Lin
- Department of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, China
- Fudan Institute for Metabolic Diseases, Shanghai, China
- Research Center on Aging and Medicine, Fudan University, Shanghai, China
| | - Jian Gao
- Department of Clinical Nutrition, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Xiaoming Li
- Department of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Mingfeng Xia
- Department of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, China
- Fudan Institute for Metabolic Diseases, Shanghai, China
| | - Dan Wang
- Department of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Qiqige Aleteng
- Department of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Hui Ma
- Department of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Baishen Pan
- Department of Laboratory Medicine, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Xin Gao
- Department of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, China
- Fudan Institute for Metabolic Diseases, Shanghai, China
- * E-mail:
| |
Collapse
|
12
|
Zhang Y, Yatsuya H, Li Y, Chiang C, Hirakawa Y, Kawazoe N, Tamakoshi K, Toyoshima H, Aoyama A. Long-term weight-change slope, weight fluctuation and risk of type 2 diabetes mellitus in middle-aged Japanese men and women: findings of Aichi Workers' Cohort Study. Nutr Diabetes 2017; 7:e252. [PMID: 28319107 PMCID: PMC5380898 DOI: 10.1038/nutd.2017.5] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/23/2016] [Revised: 12/19/2016] [Accepted: 01/17/2017] [Indexed: 12/16/2022] Open
Abstract
OBJECTIVE This study aims to investigate the association of long-term weight-change slopes, weight fluctuation and the risk of type 2 diabetes mellitus (T2DM) in middle-aged Japanese men and women. METHODS A total of 4234 participants of Aichi Workers' Cohort Study who were aged 35-66 years and free of diabetes in 2002 were followed through 2014. Past body weights at the ages of 20, 25, 30, 40 years, and 5 years before baseline as well as measured body weight at baseline were regressed on the ages. Slope and root-mean-square-error of the regression line were obtained and used to represent the weight changes and the weight fluctuation, respectively. The associations of the weight-change slopes and the weight fluctuation with incident T2DM were estimated by Cox proportional hazards models. RESULTS During the median follow-up of 12.2 years, 400 incident cases of T2DM were documented. After adjustment for baseline overweight and other lifestyle covariates, the weight-change slopes were significantly associated with higher incidence of T2DM (hazard ratio (HR): 1.80, 95% confident interval (CI): 1.17-2.77 for men; and HR: 2.78, 95% CI: 1.07-7.23 for women), while the weight fluctuation was not (HR: 1.08, 95% CI: 1.00-1.18 for men and HR: 1.02, 95% CI: 0.84-1.25 for women). CONCLUSIONS Regardless of the presence of overweight, the long-term weight-change slopes were significantly associated with the increased risk of T2DM; however, the weight fluctuation was not associated with the risk of T2DM in middle-aged Japanese men and women.
Collapse
Affiliation(s)
- Y Zhang
- Department of Public Health and Health Systems, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - H Yatsuya
- Department of Public Health and Health Systems, Nagoya University Graduate School of Medicine, Nagoya, Japan
- Department of Public Health, Fujita Health University School of Medicine, Toyoake, Aichi, Japan
| | - Y Li
- Department of Public Health, Fujita Health University School of Medicine, Toyoake, Aichi, Japan
| | - C Chiang
- Department of Public Health and Health Systems, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Y Hirakawa
- Department of Public Health and Health Systems, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - N Kawazoe
- Department of Public Health and Health Systems, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - K Tamakoshi
- Department of Nursing, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - H Toyoshima
- Education and Clinical Research Training Centre, Anjo Kosei Hospital, Anjo, Aichi, Japan
| | - A Aoyama
- Department of Public Health and Health Systems, Nagoya University Graduate School of Medicine, Nagoya, Japan
| |
Collapse
|
13
|
Diabetes Mellitus Affected Patients Classification and Diagnosis through Machine Learning Techniques. ACTA ACUST UNITED AC 2017. [DOI: 10.1016/j.procs.2017.08.193] [Citation(s) in RCA: 64] [Impact Index Per Article: 9.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
|
14
|
Yang BQ, Lu Y, He JJ, Wu TZ, Xie ZL, Lei CH, Zhou Y, Han J, Bian MQ, You H, Mei DX, Sun ZL. Performance of Fasting Plasma Glucose and Postprandial Urine Glucose in Screening for Diabetes in Chinese High-risk Population. Chin Med J (Engl) 2016; 128:3270-5. [PMID: 26668139 PMCID: PMC4797500 DOI: 10.4103/0366-6999.171353] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023] Open
Abstract
Background: The conventional approaches to diabetes screening are potentially limited by poor compliance and laboratory demand. This study aimed to evaluate the performance of fasting plasma glucose (FPG) and postprandial urine glucose (PUG) in screening for diabetes in Chinese high-risk population. Methods: Nine hundred and nine subjects with high-risk factors of diabetes underwent oral glucose tolerance test after an overnight fast. FPG, hemoglobin A1c, 2-h plasma glucose (2 h-PG), and 2 h-PUG were evaluated. Diabetes and prediabetes were defined by the American Diabetes Association criteria. The area under the receiver operating characteristic (ROC) curve was used to evaluate the diagnostic accuracy of 2 h-PUG, and the optimal cut-off determined to provide the largest Youden index. Spearman correlation was used for relationship analysis. Results: Among 909 subjects, 33.4% (304/909) of subjects had prediabetes, and 17.2% (156/909) had diabetes. The 2 h-PUG was positively related to FPG and 2 h-PG (r = 0.428 and 0.551, respectively, both P < 0.001). For estimation of 2 h-PG ≥ 7.8 mmol/L and 2 h-PG ≥ 11.1 mmol/L using 2 h-PUG, the area under the ROC curve were 0.772 (95% confidence interval [CI ]: 0.738–0.806) and 0.885 (95% CI: 0.850–0.921), respectively. The corresponding optimal cut-offs for 2 h-PUG were 5.6 mmol/L and 7.5 mmol/L, respectively. Compared with FPG alone, FPG combined with 2 h-PUG had a higher sensitivity for detecting glucose abnormalities (84.1% vs. 73.7%, P < 0.001) and diabetes (82.7% vs. 48.1%, P < 0.001). Conclusion: FPG combined with 2 h-PUG substantially improves the sensitivity in detecting prediabetes and diabetes relative to FPG alone, and may represent an efficient layperson-oriented diabetes screening method.
Collapse
Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | - Zi-Lin Sun
- Department of Endocrinology, Zhongda Hospital, Institute of Diabetes, School of Medicine, Southeast University, Nanjing, Jiangsu 210009, China,
| |
Collapse
|
15
|
Wang B, Liu MC, Li XY, Liu XH, Feng QX, Lu L, Zhu Z, Liu YS, Zhao W, Gao ZN. Cutoff Point of HbA1c for Diagnosis of Diabetes Mellitus in Chinese Individuals. PLoS One 2016; 11:e0166597. [PMID: 27861599 PMCID: PMC5115764 DOI: 10.1371/journal.pone.0166597] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2015] [Accepted: 11/01/2016] [Indexed: 01/15/2023] Open
Abstract
Background The purpose of the present study was to find the optimal threshold of glycated hemoglobin (HbA1c) for diagnosis of diabetes mellitus in Chinese individuals. Methods A total of 8 391 subjects (including 2 133 men and 6 258 women) aged 40–90 years with gradable retinal photographs were recruited. The relationship between HbA1c and diabetic retinopathy (DR) was examined. Receiver operating characteristic (ROC) curves were used to find the optimal threshold of HbA1c in screening DR and diagnosing diabetes. Results HbA1c values in patients with DR were significantly higher than in those with no DR. The ROC curve for HbA1c had an area under the curve of 0.881 (95%CI 0.857–0.905; P = 0.000). HbA1c at a cutoff of 6.5% had a high sensitivity (80.6%) and specificity (86.9%) for detecting DR. Conclusions HbA1c can be used to diagnose diabetes in a Chinese population, and the optimal HbA1c cutoff point for diagnosis is 6.5%.
Collapse
Affiliation(s)
- Bing Wang
- Department of Endocrinology, Dalian Municipal Central Hospital Affiliated Of Dalian Medical University, Dalian, China
| | - Ming-Chuan Liu
- Graduate School, Dalian Medical University, Dalian, China
| | - Xin-Yu Li
- Department of Endocrinology, Dalian Municipal Central Hospital Affiliated Of Dalian Medical University, Dalian, China
| | - Xu-Han Liu
- Department of Endocrinology, Dalian Municipal Central Hospital Affiliated Of Dalian Medical University, Dalian, China
| | - Qiu-Xia Feng
- Department of Endocrinology, Dalian Municipal Central Hospital Affiliated Of Dalian Medical University, Dalian, China
| | - Lu Lu
- Department of Endocrinology, Dalian Municipal Central Hospital Affiliated Of Dalian Medical University, Dalian, China
| | - Zhu Zhu
- Department of Endocrinology, Dalian Municipal Central Hospital Affiliated Of Dalian Medical University, Dalian, China
| | - Ying-Shu Liu
- Department of Endocrinology, Dalian Municipal Central Hospital Affiliated Of Dalian Medical University, Dalian, China
| | - Wei Zhao
- Department of Endocrinology, Dalian Municipal Central Hospital Affiliated Of Dalian Medical University, Dalian, China
| | - Zheng-Nan Gao
- Department of Endocrinology, Dalian Municipal Central Hospital Affiliated Of Dalian Medical University, Dalian, China
- * E-mail:
| |
Collapse
|
16
|
Xu Y, Zhao W, Wang W, Bi Y, Li J, Mi S, Xu M, Lu J, Wang T, Li M, Wang Z, Jiang Y, Wang L, Wang L, Dai M, Zhang D, Lai S, Ning G. Plasma glucose and hemoglobin A1c for the detection of diabetes in Chinese adults. J Diabetes 2016; 8:378-86. [PMID: 25940519 DOI: 10.1111/1753-0407.12305] [Citation(s) in RCA: 13] [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: 11/20/2014] [Revised: 04/23/2015] [Accepted: 04/27/2015] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND The aim of the present study was to evaluate the performance of plasma glucose (PG) and HbA1c for the detection of diabetes in the general population in China. METHODS A cross-sectional analysis was conducted in a nationally representative sample of 98,658 Chinese adults aged ≥18 years. Fasting plasma glucose and HbA1c levels were measured in all participants after at least a 10-h overnight fast. An oral glucose tolerance test (OGTT) was conducted among participants without a self-reported history of diagnosed diabetes. RESULTS An HbA1c ≥6.5% could identify 4.57% of Chinese adults as having newly detected diabetes, followed by fasting PG (FPG) and 2-h PG at 4.52% and 3.50%, respectively. Approximately 1.95% of the total population was detected by HbA1c but not by FPG or 2-h PG. However, FPG plus HbA1c could identify most (85.2%) diabetic individuals identified by any of the three tests (i.e., FPG, 2-h PG, and HbA1c). Levels of most cardiovascular risk factors, such as body mass index, waist circumference, and cholesterol, were higher in diabetes detected by HbA1c alone than in diabetes identified by the OGTT. CONCLUSIONS Although HbA1c ≥6.5% has been recommended by the American Diabetes Association as one of the diagnostic tests for diabetes, caution should be used to avoid potential overdiagnosis when interpreting diabetes identified by elevated HbA1c alone.
Collapse
Affiliation(s)
- Yu Xu
- State Key Laboratory of Medical Genomics, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, the National Clinical Research Center for Metabolic Diseases, and Shanghai Clinical Center for Endocrine and Metabolic Diseases, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Wenhua Zhao
- Chinese Center for Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Weiqing Wang
- State Key Laboratory of Medical Genomics, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, the National Clinical Research Center for Metabolic Diseases, and Shanghai Clinical Center for Endocrine and Metabolic Diseases, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Yufang Bi
- State Key Laboratory of Medical Genomics, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, the National Clinical Research Center for Metabolic Diseases, and Shanghai Clinical Center for Endocrine and Metabolic Diseases, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Jianhong Li
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Shengquan Mi
- Chinese Center for Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- Department of Food Science, College of Applied Art and Science, Beijing Union University, Beijing, China
| | - Min Xu
- State Key Laboratory of Medical Genomics, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, the National Clinical Research Center for Metabolic Diseases, and Shanghai Clinical Center for Endocrine and Metabolic Diseases, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Jieli Lu
- State Key Laboratory of Medical Genomics, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, the National Clinical Research Center for Metabolic Diseases, and Shanghai Clinical Center for Endocrine and Metabolic Diseases, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Tiange Wang
- State Key Laboratory of Medical Genomics, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, the National Clinical Research Center for Metabolic Diseases, and Shanghai Clinical Center for Endocrine and Metabolic Diseases, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Mian Li
- State Key Laboratory of Medical Genomics, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, the National Clinical Research Center for Metabolic Diseases, and Shanghai Clinical Center for Endocrine and Metabolic Diseases, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Zhuoqun Wang
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yong Jiang
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Limin Wang
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Linhong Wang
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Meng Dai
- State Key Laboratory of Medical Genomics, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, the National Clinical Research Center for Metabolic Diseases, and Shanghai Clinical Center for Endocrine and Metabolic Diseases, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Di Zhang
- State Key Laboratory of Medical Genomics, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, the National Clinical Research Center for Metabolic Diseases, and Shanghai Clinical Center for Endocrine and Metabolic Diseases, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Shenghan Lai
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Guang Ning
- State Key Laboratory of Medical Genomics, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, the National Clinical Research Center for Metabolic Diseases, and Shanghai Clinical Center for Endocrine and Metabolic Diseases, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| |
Collapse
|
17
|
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.
Collapse
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
| |
Collapse
|
18
|
Rajput R, Saini O, Rajput M, Shankar V. Comparison of HbA1c and FPG as a screening tool for diagnosis of pre-diabetes and diabetes in Indian population. Int J Diabetes Dev Ctries 2015. [DOI: 10.1007/s13410-015-0343-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
|
19
|
Effects of diabetes definition on global surveillance of diabetes prevalence and diagnosis: a pooled analysis of 96 population-based studies with 331,288 participants. Lancet Diabetes Endocrinol 2015; 3:624-37. [PMID: 26109024 PMCID: PMC4673089 DOI: 10.1016/s2213-8587(15)00129-1] [Citation(s) in RCA: 119] [Impact Index Per Article: 13.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/12/2015] [Revised: 04/23/2015] [Accepted: 04/29/2015] [Indexed: 12/16/2022]
Abstract
BACKGROUND Diabetes has been defined on the basis of different biomarkers, including fasting plasma glucose (FPG), 2-h plasma glucose in an oral glucose tolerance test (2hOGTT), and HbA1c. We assessed the effect of different diagnostic definitions on both the population prevalence of diabetes and the classification of previously undiagnosed individuals as having diabetes versus not having diabetes in a pooled analysis of data from population-based health examination surveys in different regions. METHODS We used data from 96 population-based health examination surveys that had measured at least two of the biomarkers used for defining diabetes. Diabetes was defined using HbA1c (HbA1c ≥6·5% or history of diabetes diagnosis or using insulin or oral hypoglycaemic drugs) compared with either FPG only or FPG-or-2hOGTT definitions (FPG ≥7·0 mmol/L or 2hOGTT ≥11·1 mmol/L or history of diabetes or using insulin or oral hypoglycaemic drugs). We calculated diabetes prevalence, taking into account complex survey design and survey sample weights. We compared the prevalences of diabetes using different definitions graphically and by regression analyses. We calculated sensitivity and specificity of diabetes diagnosis based on HbA1c compared with diagnosis based on glucose among previously undiagnosed individuals (ie, excluding those with history of diabetes or using insulin or oral hypoglycaemic drugs). We calculated sensitivity and specificity in each survey, and then pooled results using a random-effects model. We assessed the sources of heterogeneity of sensitivity by meta-regressions for study characteristics selected a priori. FINDINGS Population prevalence of diabetes based on FPG-or-2hOGTT was correlated with prevalence based on FPG alone (r=0·98), but was higher by 2-6 percentage points at different prevalence levels. Prevalence based on HbA1c was lower than prevalence based on FPG in 42·8% of age-sex-survey groups and higher in another 41·6%; in the other 15·6%, the two definitions provided similar prevalence estimates. The variation across studies in the relation between glucose-based and HbA1c-based prevalences was partly related to participants' age, followed by natural logarithm of per person gross domestic product, the year of survey, mean BMI, and whether the survey population was national, subnational, or from specific communities. Diabetes defined as HbA1c 6·5% or more had a pooled sensitivity of 52·8% (95% CI 51·3-54·3%) and a pooled specificity of 99·74% (99·71-99·78%) compared with FPG 7·0 mmol/L or more for diagnosing previously undiagnosed participants; sensitivity compared with diabetes defined based on FPG-or-2hOGTT was 30·5% (28·7-32·3%). None of the preselected study-level characteristics explained the heterogeneity in the sensitivity of HbA1c versus FPG. INTERPRETATION Different biomarkers and definitions for diabetes can provide different estimates of population prevalence of diabetes, and differentially identify people without previous diagnosis as having diabetes. Using an HbA1c-based definition alone in health surveys will not identify a substantial proportion of previously undiagnosed people who would be considered as having diabetes using a glucose-based test. FUNDING Wellcome Trust, US National Institutes of Health.
Collapse
|
20
|
Yan ST, Xiao HY, Tian H, Li CL, Fang FS, Li XY, Cheng XL, Li N, Miao XY, Yang Y, Wang LC, Zou XM, Ma FL, He Y, Sai XY. The cutoffs and performance of glycated hemoglobin for diagnosing diabetes and prediabetes in a young and middle-aged population and in an elderly population. Diabetes Res Clin Pract 2015; 109:238-45. [PMID: 26059072 DOI: 10.1016/j.diabres.2015.05.047] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2015] [Revised: 05/14/2015] [Accepted: 05/23/2015] [Indexed: 12/23/2022]
Abstract
The aims were to compare the appropriate cutoffs of glycated hemoglobin (HbA1c) in a population of varying ages and to evaluate the performance of HbA1c for diagnosing diabetes and prediabetes. A total of 1064 participants in the young and middle-aged group and 1671 in the elderly group were included and underwent HbA1c testing and an oral glucose tolerance test (OGTT). Sensitivity, specificity, and area under the receiver operating characteristic curve (AUC) were calculated to evaluate the optimal HbA1c cutoffs. Kappa coefficients were used to test for agreement between HbA1c categorization and OGTT-based diagnoses. The optimal HbA1c cutoffs for diagnosing diabetes were 5.7% (39 mmol/mol) in the young and middle-aged group with a sensitivity of 66.7%, specificity of 86.7%, and AUC of 0.821 (95% CI: 0.686, 0.955) and 5.9% (41 mmol/mol) in the elderly group with a sensitivity of 80.4%, specificity of 73.3%, and AUC of 0.831 (0.801, 0.861). The optimal cutoffs for diagnosing prediabetes were 5.6% (38 mmol/mol) and 5.7% (39 mmol/mol) in the young and middle-aged group and in the elderly group, respectively. Agreement between the OGTT-based diagnosis of diabetes or prediabetes and the optimal HbA1c cutoff was low (all kappa coefficients <0.4). The combination of HbA1c and fasting plasma glucose increased diagnostic sensitivities or specificities. In conclusion, age-specific HbA1c cutoffs for diagnosing diabetes or prediabetes were appropriate. Furthermore, the performance of HbA1c for diagnosing diabetes and prediabetes was poor. HbA1c should be used in combination with traditional glucose criteria when detecting and diagnosing diabetes or prediabetes.
Collapse
Affiliation(s)
- Shuang-Tong Yan
- Department of Geriatric Endocrinology, Chinese PLA General Hospital, 28 Fuxing Road, Beijing 100853, China
| | - Hai-Ying Xiao
- Department of Geriatric Endocrinology, Chinese PLA General Hospital, 28 Fuxing Road, Beijing 100853, China
| | - Hui Tian
- Department of Geriatric Endocrinology, Chinese PLA General Hospital, 28 Fuxing Road, Beijing 100853, China.
| | - Chun-Lin Li
- Department of Geriatric Endocrinology, Chinese PLA General Hospital, 28 Fuxing Road, Beijing 100853, China
| | - Fu-Sheng Fang
- Department of Geriatric Endocrinology, Chinese PLA General Hospital, 28 Fuxing Road, Beijing 100853, China
| | - Xiao-Ying Li
- Department of Geriatric Cardiology, Chinese PLA General Hospital, Beijing 100853, China
| | - Xiao-Ling Cheng
- Department of Geriatric Endocrinology, Chinese PLA General Hospital, 28 Fuxing Road, Beijing 100853, China
| | - Nan Li
- Department of Geriatric Endocrinology, Chinese PLA General Hospital, 28 Fuxing Road, Beijing 100853, China
| | - Xin-Yu Miao
- Department of Geriatric Endocrinology, Chinese PLA General Hospital, 28 Fuxing Road, Beijing 100853, China
| | - Yan Yang
- Department of Geriatric Endocrinology, Chinese PLA General Hospital, 28 Fuxing Road, Beijing 100853, China
| | - Liang-Chen Wang
- Department of Geriatric Endocrinology, Chinese PLA General Hospital, 28 Fuxing Road, Beijing 100853, China
| | - Xiao-Man Zou
- Laboratory of Endocrinology, Chinese PLA General Hospital, Beijing 100853, China
| | - Fang-Ling Ma
- Laboratory of Endocrinology, Chinese PLA General Hospital, Beijing 100853, China
| | - Yao He
- Institute of Geriatrics, Chinese PLA General Hospital, Beijing 100853, China
| | - Xiao-Yong Sai
- Institute of Geriatrics, Chinese PLA General Hospital, Beijing 100853, China
| |
Collapse
|
21
|
Zhang Y, Hu G, Zhang L, Mayo R, Chen L. A novel testing model for opportunistic screening of pre-diabetes and diabetes among U.S. adults. PLoS One 2015; 10:e0120382. [PMID: 25790106 PMCID: PMC4366186 DOI: 10.1371/journal.pone.0120382] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2014] [Accepted: 01/21/2015] [Indexed: 12/25/2022] Open
Abstract
Objective The study aim was to evaluate the performance of a novel simultaneous testing model, based on the Finnish Diabetes Risk Score (FINDRISC) and HbA1c, in detecting undiagnosed diabetes and pre-diabetes in Americans. Research Design and Methods This cross-sectional analysis included 3,886 men and women (≥ 20 years) without known diabetes from the U.S. National Health and Nutrition Examination Survey (NHANES) 2005-2010. The FINDRISC was developed based on eight variables (age, BMI, waist circumference, use of antihypertensive drug, history of high blood glucose, family history of diabetes, daily physical activity and fruit & vegetable intake). The sensitivity, specificity, and the receiver operating characteristic (ROC) curve of the testing model were calculated for undiagnosed diabetes and pre-diabetes, determined by oral glucose tolerance test (OGTT). Results The prevalence of undiagnosed diabetes was 7.0% and 43.1% for pre-diabetes (27.7% for isolated impaired fasting glucose (IFG), 5.1% for impaired glucose tolerance (IGT), and 10.3% for having both IFG and IGT). The sensitivity and specificity of using the HbA1c alone was 24.2% and 99.6% for diabetes (cutoff of ≥6.5%), and 35.2% and 86.4% for pre-diabetes (cutoff of ≥5.7%). The sensitivity and specificity of using the FINDRISC alone (cutoff of ≥9) was 79.1% and 48.6% for diabetes and 60.2% and 61.4% for pre-diabetes. Using the simultaneous testing model with a combination of FINDRISC and HbA1c improved the sensitivity to 84.2% for diabetes and 74.2% for pre-diabetes. The specificity for the simultaneous testing model was 48.4% of diabetes and 53.0% for pre-diabetes. Conclusions This simultaneous testing model is a practical and valid tool in diabetes screening in the general U.S. population.
Collapse
Affiliation(s)
- Yurong Zhang
- The First Affiliated Hospital of Medical School, Xi’an Jiaotong University, Xi’an, Shaanxi, China
| | - Gang Hu
- Pennington Biomedical Research Center, Baton Rouge, LA, United States of America
| | - Lu Zhang
- Epidemiology Program, School of Public Health, Louisiana State University Health Sciences Center, New Orleans, LA, United States of America
| | - Rachel Mayo
- Department of Public Health Sciences, Clemson University, Clemson, SC, United States of America
| | - Liwei Chen
- Department of Public Health Sciences, Clemson University, Clemson, SC, United States of America
- * E-mail:
| |
Collapse
|
22
|
Huang J, Ou HY, Karnchanasorn R, Samoa R, Chuang LM, Chiu KC, Feng W. Clinical implication of fasting and post-challenged plasma glucose in diagnosis of diabetes mellitus. Endocrine 2015; 48:511-8. [PMID: 24895042 DOI: 10.1007/s12020-014-0301-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2014] [Accepted: 05/12/2014] [Indexed: 12/22/2022]
Abstract
Fasting plasma glucose (FPG) is the preferred test in diagnosis of diabetes mellitus (DM) to 2-h post-challenged plasma glucose (2hPG). There is little information available on the comparison between FPG and 2hPG diagnostic criteria. This study included adult participants (≥18 years old) of the NHANES 2005-2010 with FPG, 2hPG, and BMI measured. Subjects with established DM were excluded. The sensitivity of FPG and 2hPG diagnostic criteria was compared as the main outcome measure. Among 5,782 subjects, 476 subjects (8.23 %) were diagnosed with DM by either FPG, 2hPG, or both criteria. Among the subjects meeting the criterion of FPG, those with 2hPG <200 mg/dL were younger (57 ± 16 vs. 61 ± 15 years old, P < 0.05, mean ± STD) and less obese (30.81 ± 7.89 vs. 32.71 ± 6.68 kg/m(2), P < 0.05) as compared to those with 2hPG ≥200 mg/dL. Among the subjects meeting the criterion of 2hPG, those with FPG <126 mg/dL were more female (55.41 vs. 39.88 %, P < 0.0002), less obese (29.24 ± 5.83 vs. 32.71 ± 6.68 kg/m(2), P < 0.000001), lower diastolic blood pressure (67 ± 12 vs. 71 ± 14 mmHg, P < 0.02), and less family history of DM (36.35 vs. 48.47 %, P < 0.02) as compared to those with FPG ≥126 mg/dL. The sensitivity of diagnosis of DM was only 41.37 % for FPG criterion, while it was 66.53 % for 2hPG criterion. Thus, compared to 2hPG criterion, FPG criterion had a lower sensitivity detecting new cases of DM. The use of FPG criterion would more likely result in underdiagnosing DM, especially in female and less obese subjects, as compared to the use of 2hPG criterion.
Collapse
Affiliation(s)
- Jean Huang
- Department of Clinical Diabetes, Endocrinology, and Metabolism, City of Hope National Medical Center, 1500 East Duarte Road, Duarte, CA, USA
| | | | | | | | | | | | | |
Collapse
|
23
|
Liang K, Sun Y, Li WJ, Zhang XP, Li CQ, Yang WF, Ma ZQ, Ma AX, Zheng HZ, Song J, Lin P, Hou XG, Chen L. Diagnostic efficiency of hemoglobin A1c for newly diagnosed diabetes and prediabetes in community-based Chinese adults aged 40 years or older. Diabetes Technol Ther 2014; 16:853-7. [PMID: 25014878 PMCID: PMC4241955 DOI: 10.1089/dia.2014.0157] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
BACKGROUND Europeans and Americans are gradually accepting the hemoglobin A1c (HbA1c) threshold of 6.5% for diagnosing diabetes proposed by the American Diabetes Association, but the cutoff of HbA1c for the Chinese population is unclear. We evaluated the diagnostic efficiency of HbA1c for diagnosing newly diagnosed diabetes and prediabetes in community-based Chinese adults 40 years of age or older. SUBJECTS AND METHODS In this study 8,239 subjects (5,496 women) 40-90 years of age underwent HbA1c and oral glucose tolerance test measurement after an overnight fast. Diabetes and prediabetes were defined by the World Health Organization criteria. The area under the receiver operating characteristic curve (AUC) was used to evaluate the diagnostic efficiency of HbA1c, and the optimal cutoff was defined as the point on the receiver operating characteristic curve with the largest Youden index. Spearman correlation was used for correlation analysis. RESULTS The prevalence of newly diagnosed diabetes and prediabetes was 10.7% (880/8,239) and 19.0% (1,564/8,239), respectively. Fasting plasma glucose and postprandial plasma glucose were positively correlated with HbA1c level (r=0.725 and r=0.673, both P<0.001, respectively). For diagnosing diabetes, the AUC was 0.857 (95% confidence interval, 0.841-0.873), and the optimal cutoff for HbA1c was 6.3%, with the largest Youden index being 0.581. For diagnosing prediabetes, the AUC was 0.681 (95% confidence interval, 0.666-0.697), and the optimal cutoff for HbA1c was 5.9%, with the largest Youden index being 0.280. CONCLUSIONS An HbA1c threshold of 6.3% was highly valuable for diagnosing newly diagnosed diabetes, and a value of 5.9% was weakly valuable for diagnosing prediabetes in community-based Chinese adults 40 years of age or older.
Collapse
Affiliation(s)
- Kai Liang
- Department of Endocrinology of Qilu Hospital and Institute of Endocrinology and Metabolism, Shandong University, Jinan, China
| | - Yu Sun
- Department of Endocrinology of Qilu Hospital and Institute of Endocrinology and Metabolism, Shandong University, Jinan, China
| | - Wen-juan Li
- Department of Endocrinology of Qilu Hospital and Institute of Endocrinology and Metabolism, Shandong University, Jinan, China
| | | | - Cheng-qiao Li
- Department of Endocrinology, Second People's Hospital, Jining, China
| | | | - Ze-qiang Ma
- China National Heavy Duty Truck Group Corporation Hospital, Jinan, China
| | - Ai-xia Ma
- Department of Endocrinology of Qilu Hospital and Institute of Endocrinology and Metabolism, Shandong University, Jinan, China
| | - Hui-zhen Zheng
- Department of Endocrinology of Qilu Hospital and Institute of Endocrinology and Metabolism, Shandong University, Jinan, China
| | - Jun Song
- Department of Endocrinology of Qilu Hospital and Institute of Endocrinology and Metabolism, Shandong University, Jinan, China
| | - Peng Lin
- Department of Endocrinology of Qilu Hospital and Institute of Endocrinology and Metabolism, Shandong University, Jinan, China
| | - Xin-guo Hou
- Department of Endocrinology of Qilu Hospital and Institute of Endocrinology and Metabolism, Shandong University, Jinan, China
| | - Li Chen
- Department of Endocrinology of Qilu Hospital and Institute of Endocrinology and Metabolism, Shandong University, Jinan, China
| |
Collapse
|
24
|
Lin S, Hu L, Li X, Chen Y, Xu H, He S, Ren Z, Tang X, Qiu Y, Xu J, Mu P, Zeng L. Glycated haemoglobin A₁c for diagnosing diabetes in Chinese subjects over 50 years old: a community-based cross-sectional study. Clin Endocrinol (Oxf) 2014; 80:656-61. [PMID: 23488681 DOI: 10.1111/cen.12202] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2012] [Revised: 03/07/2013] [Accepted: 03/11/2013] [Indexed: 11/30/2022]
Abstract
OBJECTIVE Little is known about using glycated haemoglobin A₁c (HbA₁c) to diagnose diabetes in Chinese subjects over 50 years old. This study aims to evaluate HbA₁c in diagnosing diabetes and identify the optimal threshold to be used in Chinese community subjects aged over 50 years. METHODS A community-based cross-sectional survey was conducted from October 2010 to January 2011 in Shipai community of Guangzhou, Guangdong, China. A total of 1494 subjects (72·8%) aged over 50 years were investigated. Fasting plasma glucose (FPG₁st ) and HbA₁c were assayed in each participant. Diabetic candidates with FPG₁st ≥ 5·6 mmol/l or HbA₁c ≥ 39 mmol/mol (5·7%) were informed to undergo a 75-g oral glucose tolerance test (OGTT). Diagnosis of diabetes was made by 1999 World Health Organization criteria. Sensitivity and specificity of HbA1 c for diagnosing diabetes were calculated by receiver operating characteristics (ROC) curve. RESULTS Among 1494 subjects, 161 subjects (10·8%) with previously diagnosed diabetes and 21 with missing data were excluded. Among the remaining 1312 subjects (87·8%), 861 subjects (65·6%) with either FPG1st ≥ 5·6 mmol/l or HbA₁c ≥ 39 mmol/mol (5·7%) were invited to perform OGTT. Finally, 453 subjects (52·6%) performed OGTT (FPG₂nd and 2-h plasma glucose were measured) and 54 subjects (11·9%) were identified as being diabetes. The area under ROC curve was 0·916 (0·887-0·940) for HbA₁c and 0·972 (0·953-0·985) for FPG₂nd in diagnosing diabetes (P = 0·045). An HbA₁c threshold of 48 mmol/mol (6·5%) yielded the highest combination of sensitivity (75·9%) and specificity (95·5%) for diagnosing diabetes. CONCLUSION An HbA1 c threshold of 48 mmol/mol (6·5%) was highly specific and had a good sensitivity for diagnosing diabetes among Chinese subjects aged over 50 years with FPG ≥ 5·6 mmol/l or HbA₁c ≥ 39 mmol/mol (5·7%). This threshold may be suitable for diagnosing diabetes in Chinese subjects over 50 years old.
Collapse
Affiliation(s)
- Shuo Lin
- Department of Endocrinology, The 3rd Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
25
|
Lerner N, Shani M, Vinker S. Predicting type 2 diabetes mellitus using haemoglobin A1c: A community-based historic cohort study. Eur J Gen Pract 2013; 20:100-6. [DOI: 10.3109/13814788.2013.826642] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023] Open
|
26
|
Kodama S, Horikawa C, Fujihara K, Hirasawa R, Yachi Y, Yoshizawa S, Tanaka S, Sone Y, Shimano H, Iida KT, Saito K, Sone H. Use of high-normal levels of haemoglobin A(1C) and fasting plasma glucose for diabetes screening and for prediction: a meta-analysis. Diabetes Metab Res Rev 2013; 29:680-92. [PMID: 23963843 DOI: 10.1002/dmrr.2445] [Citation(s) in RCA: 20] [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: 10/15/2012] [Revised: 06/13/2013] [Accepted: 08/07/2013] [Indexed: 01/14/2023]
Abstract
BACKGROUND Using high-normal levels of haemoglobin A1C (Abnormal-A1C ) or fasting plasma glucose (FPG) (Abnormal-FPG) for diabetes screening are expected to improve the ability to detect persons with or at high risk of diabetes. We assessed the diagnostic and predictive capacity for diabetes of Abnormal-A1C and Abnormal-FPG. We compared these to the combined use of the two measures to the single use of either measurement. METHODS We analysed 31 eligible cross-sectional or cohort studies that assessed diagnostic or predictive ability, respectively, by using lower A1C and FPG cutoff values than recommended by current diabetes criteria. Positive and negative likelihood ratios (LR+ and LR-) were calculated to assess the ability to confirm or exclude diabetes, respectively, on the basis of a bivariate random-effects model. RESULTS With both Abnormal-A1C and Abnormal-FPG, the pooled LR+ was above 4 for diagnosing diabetes and above 3 for predicting diabetes. However, the pooled LR- for predicting diabetes was higher with Abnormal-A1C (0.48) and Abnormal-FPG (0.49) in comparison with that for diagnosing diabetes (0.27, Abnormal-A1C ; 0.28, Abnormal-FPG). In eight studies that assessed the predictive ability of the combination of A1C and FPG, using either Abnormal-A1C or Abnormal-FPG could lower LR- to 0.17 from 0.43 for only Abnormal-A1C and from 0.38 for only Abnormal-FPG. Accordingly, LR+ was also lowered to 2.37 from 3.36 for only Abnormal-A1C and from 3.84 for only-Abnormal-FPG. CONCLUSION The use of the two blood glucose tests had insufficient capacity to identify subjects at high risk for diabetes but had considerable capacity to identify undiagnosed diabetes.
Collapse
Affiliation(s)
- Satoru Kodama
- Department of Health Management Center, Mito Kyodo General Hospital, Ibaraki, Japan; Department of Internal Medicine, Niigata University Faculty of Medicine, Niigata, Japan
| | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
27
|
Caldeira D, de Castro Linhares A, Bettega M, Clemente AC, Gama MP, Rossi PR. A1C as a diabetes diagnosis method. J Cardiovasc Med (Hagerstown) 2013; 14:827-32. [DOI: 10.2459/jcm.0b013e3283600a1f] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
|
28
|
Mukai N, Doi Y, Ninomiya T, Hirakawa Y, Nagata M, Yoshida D, Hata J, Fukuhara M, Nakamura U, Kitazono T, Kiyohara Y. Trends in the prevalence of type 2 diabetes and prediabetes in community-dwelling Japanese subjects: The Hisayama Study. J Diabetes Investig 2013; 5:162-9. [PMID: 24843756 PMCID: PMC4023579 DOI: 10.1111/jdi.12136] [Citation(s) in RCA: 42] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2013] [Revised: 06/29/2013] [Accepted: 07/21/2013] [Indexed: 11/30/2022] Open
Abstract
Aims/Introduction We examined secular trends in the prevalence of type 2 diabetes and prediabetes in community‐dwelling Japanese subjects. Materials and Methods A total of 2,490 subjects in 1988 and 2,852 subjects in 2002 aged 40–79 years underwent a 75‐g oral glucose tolerance test, and their glucose tolerance status was defined by the 1998 World Health Organization criteria. Results The age‐adjusted prevalence of type 2 diabetes increased significantly from 1988 to 2002 in men (14.6% in 1988 to 20.8% in 2002, P < 0.001) and women (9.1% in 1988 to 11.2% in 2002, P = 0.002). A significant rise in the age‐adjusted prevalence of prediabetes was also observed in both sexes (26.2% in 1988 to 35.3% in 2002, P < 0.001 for men; 22.5% in 1988 to 25.1% in 2002, P = 0.04 for women). In age‐stratified analysis, the prevalence of type 2 diabetes increased markedly over time in men aged 60–69 and 70–79 years (both P < 0.001) and women aged 70–79 years (P = 0.02). The prevalence of overall and central obesity increased significantly in men aged 60–69 and 70–79 years, and women aged 70–79 years from 1988 to 2002, whereas the frequency of regular exercise decreased significantly in men aged 70–79 years between the surveys. Conclusions Our findings suggest that the prevalence of type 2 diabetes and prediabetes increased significantly in both sexes from the 1980s to the 2000s in a general Japanese population, and that the increasing prevalence of obesity and the decline in physical activity exerted an influence on this rising trend.
Collapse
Affiliation(s)
- Naoko Mukai
- Department of Environmental Medicine Graduate School of Medical Sciences Kyushu University Fukuoka Japan ; Department of Medicine and Clinical Science Graduate School of Medical Sciences Kyushu University Fukuoka Japan
| | - Yasufumi Doi
- Department of Environmental Medicine Graduate School of Medical Sciences Kyushu University Fukuoka Japan ; Department of Medicine and Clinical Science Graduate School of Medical Sciences Kyushu University Fukuoka Japan
| | - Toshiharu Ninomiya
- Department of Environmental Medicine Graduate School of Medical Sciences Kyushu University Fukuoka Japan ; Department of Medicine and Clinical Science Graduate School of Medical Sciences Kyushu University Fukuoka Japan
| | - Yoichiro Hirakawa
- Department of Environmental Medicine Graduate School of Medical Sciences Kyushu University Fukuoka Japan ; Department of Medicine and Clinical Science Graduate School of Medical Sciences Kyushu University Fukuoka Japan
| | - Masaharu Nagata
- Department of Environmental Medicine Graduate School of Medical Sciences Kyushu University Fukuoka Japan ; Department of Medicine and Clinical Science Graduate School of Medical Sciences Kyushu University Fukuoka Japan
| | - Daigo Yoshida
- Department of Environmental Medicine Graduate School of Medical Sciences Kyushu University Fukuoka Japan
| | - Jun Hata
- Department of Environmental Medicine Graduate School of Medical Sciences Kyushu University Fukuoka Japan ; Department of Medicine and Clinical Science Graduate School of Medical Sciences Kyushu University Fukuoka Japan
| | - Masayo Fukuhara
- Department of Environmental Medicine Graduate School of Medical Sciences Kyushu University Fukuoka Japan ; Department of Medicine and Clinical Science Graduate School of Medical Sciences Kyushu University Fukuoka Japan
| | - Udai Nakamura
- Department of Medicine and Clinical Science Graduate School of Medical Sciences Kyushu University Fukuoka Japan
| | - Takanari Kitazono
- Department of Medicine and Clinical Science Graduate School of Medical Sciences Kyushu University Fukuoka Japan
| | - Yutaka Kiyohara
- Department of Environmental Medicine Graduate School of Medical Sciences Kyushu University Fukuoka Japan
| |
Collapse
|
29
|
Huang H, Peng G, Lin M, Zhang K, Wang Y, Yang Y, Zuo Z, Chen R, Wang J. The diagnostic threshold of HbA1c and impact of its use on diabetes prevalence-a population-based survey of 6898 Han participants from southern China. Prev Med 2013; 57:345-50. [PMID: 23777673 DOI: 10.1016/j.ypmed.2013.06.012] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2013] [Revised: 06/01/2013] [Accepted: 06/09/2013] [Indexed: 12/16/2022]
Abstract
OBJECTIVE The objective of this study is to determine the diagnostic threshold of HbA1c for diabetes and the impact of using it on diabetes prevalence. METHODS A population-based stratified study was conducted in 2010 among community-dwelling adults aged ≥35years in southern China. Participants without previously-diagnosed diabetes (PDD) took oral glucose tolerance test (OGTT) and HbA1c assay. HbA1c diagnostic threshold was determined by receiver operating characteristic curve. RESULTS A total of 6989 participants with mean age of 52years were recruited. The area under curve of HbA1c was 0.903 (95% CI: 0.883-0.922), with optimal cut-off value at 6.25% (sensitivity 75.6% and specificity 91.9%). There were 449 (6.42%) patients with PDD and 422 (6.04%), 815 (11.66%) and 918 (13.13%) new cases diagnosed by OGTT, HbA1c ≥6.25% or either, respectively. When either HbA1c or OGTT was used, newly-diagnosed diabetes prevalence increased by 117.4%. CONCLUSIONS Diabetes is prevalent in southern China. Near half of the patients go undetected with current diagnostic criteria. HbA1c ≥6.25% may be the diagnostic threshold value but needs further verification. The introduction of HbA1c threshold into diabetes diagnosis in China will cause a substantial increase in diabetes prevalence and great challenge on the public healthcare system.
Collapse
Affiliation(s)
- Hui Huang
- Department of Cardiology, Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University, Guangzhou 510120, China; Guangdong Province Key Laboratory of Arrhythmia and Electrophysiology, Guangzhou 510120, China
| | | | | | | | | | | | | | | | | |
Collapse
|
30
|
Wu S, Yi F, Zhou C, Zhang M, Zhu Y, Tuniyazi Y, Huang L, Huang X, Wang F, Bi Y, Ning G. HbA1c and the diagnosis of diabetes and prediabetes in a middle-aged and elderly Han population from northwest China (HbA1c). J Diabetes 2013; 5:282-90. [PMID: 23452328 DOI: 10.1111/1753-0407.12035] [Citation(s) in RCA: 20] [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: 04/26/2012] [Revised: 01/22/2013] [Accepted: 02/18/2013] [Indexed: 11/28/2022] Open
Abstract
OBJECTIVE To identify the optimal threshold of HbA1c and to evaluate the predictive performance of HbA1c levels in diagnosing diabetes and prediabetes in a middle-aged and elderly Han Chinese population from northwest China. METHODS In all, 3354 participants aged ≥ 40 years with no history of diabetes from northwest China were enrolled in the present cross-sectional study. All subjects underwent a 75-g oral glucose tolerance test (OGTT), as well as HbA1c testing. HbA1c thresholds for diagnosing diabetes and prediabetes were identified by the highest sum of sensitivity and specificity of each cut-off point, and the receiver operating characteristic (ROC) curve was used to evaluate the diagnostic accuracy of the HbA1c threshold. RESULTS The mean (± SD) age of the participants was 57 ± 8 years, and 70.75% were women. Based on results of the OGTT, 1347 (40.16%) subjects had impaired fasting glucose and/or impaired glucose tolerance, and 725 (21.62%) had diabetes. The area under the ROC curve for detecting undiagnosed diabetes and prediabetes by HbA1c levels was 0.810 (95% confidence interval [CI] 0.796-0.823) and 0.732 (95% CI 0.717-0.747), respectively. HbA1c threshold of 6.4% and 6.1% produced the highest sum of sensitivity (60.00% and 61.49%) and specificity (87.33% and 73.24%) for diagnosing diabetes and prediabetes, respectively. CONCLUSION HbA1c is an effective and convenient method for diagnosing diabetes and prediabetes. HbA1c thresholds of 6.4% and 6.1% may be used as diagnostic criteria for diabetes and prediabetes, respectively, in the Han Chinese population living in northwest China.
Collapse
Affiliation(s)
- Shengli Wu
- Department of Diabetes, Karamay People's Hospital, Karamay, Xinjiang Uygur Autonomous Region, China.
| | | | | | | | | | | | | | | | | | | | | |
Collapse
|
31
|
Yan S, Liu S, Zhao Y, Zhang W, Sun X, Li J, Jiang F, Ju J, Lang N, Zhang Y, Zhou W, Li Q. Diagnostic accuracy of HbA1c in diabetes between Eastern and Western. Eur J Clin Invest 2013; 43:716-26. [PMID: 23634648 DOI: 10.1111/eci.12098] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/13/2012] [Accepted: 03/22/2013] [Indexed: 01/03/2023]
Abstract
BACKGROUND In 2010, the American Diabetes Association recommended the use of HbA1c as a diagnostic criterion for diabetes. However, HbA1c is not an accepted diagnostic tool for diabetes in Eastern Asia, because genetic differences compromise the standardization of the diagnostic cut-off point. OBJECTIVES This study evaluated differences in the use of HbA1c for diagnosing diabetes in Eastern and Western populations and investigated whether HbA1c cut-off point of ≥ 6.5% is diagnostic of diabetes in patients from Eastern Asia. METHODS Literature was obtained from MEDLINE, EMBASE and Cochrane databases. The pooled sensitivity and specificity of each HbA1c cut-off point were extracted and compared between Western and Eastern populations. Differences in the cut-off point for diagnosing diabetes in each region were compared by examining differences in the area under summary receiver operating characteristic (SROC) curves. RESULTS Twelve publications from Eastern countries (n = 59,735) and 13 from Western countries (n = 22,954) were included in the analysis. Areas under SROC curves in the Eastern and Western groups were 0.9331 and 0.9120, respectively (P = 0.98). The cut-off point of the highest Youden index was 6.0%. At the HbA1c cut-off point of 6.5%, the pooled sensitivity and specificity were 58.7% and 98.4% for Eastern countries and 65.5% and 98.1% for Western countries, respectively. CONCLUSIONS HbA1c exhibits the same diagnostic value for diabetes in Eastern and Western populations. In both populations, HbA1c levels > 6.0% identify the population at high risk of diabetes, and HbA1c > 6.5% is diagnostic of clinically established diabetes.
Collapse
Affiliation(s)
- Shuang Yan
- Department of Endocrinology and Metabolism Disease, The 4th Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China
| | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
32
|
Lai YC, Li HY, Hung CS, Lin MS, Shih SR, Ma WY, Hua CH, Chuang LM, Sung FC, Wei JN. Performance of homeostasis model assessment and serum high-sensitivity C-reactive protein for prediction of isolated post-load hyperglycaemia. Diabet Med 2013; 30:318-25. [PMID: 22946586 DOI: 10.1111/dme.12008] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
AIMS To evaluate whether homeostasis model assessment and high-sensitivity C-reactive protein improve the prediction of isolated post-load hyperglycaemia. METHODS The subjects were 1458 adults without self-reported diabetes recruited between 2006 and 2010. Isolated post-load hyperglycaemia was defined as fasting plasma glucose < 7 mmol/l and 2-h post-load plasma glucose ≥ 11.1 mmol/l. Risk scores of isolated post-load hyperglycaemia were constructed by multivariate logistic regression. An independent group (n = 154) was enrolled from 2010 to 2011 to validate the models' performance. RESULTS One hundred and twenty-three subjects (8.28%) were newly diagnosed as having diabetes mellitus. Among those with undiagnosed diabetes, 64 subjects (52%) had isolated post-load hyperglycaemia. Subjects with isolated post-load hyperglycaemia were older, more centrally obese and had higher blood pressure, HbA(1c), fasting plasma glucose, triglycerides, LDL cholesterol, high-sensitivity C-reactive protein and homeostasis model assessment of insulin resistance and lower homeostasis model assessment of β-cell function than those without diabetes. The risk scores included age, gender, BMI, homeostasis model assessment, high-sensitivity C-reactive protein and HbA(1c). The full model had high sensitivity (84%) and specificity (87%) and area under the receiver operating characteristic curve (0.91), with a cut-off point of 23.81; validation in an independent data set showed 88% sensitivity, 77% specificity and an area under curve of 0.89. CONCLUSIONS Over half of those with undiagnosed diabetes had isolated post-load hyperglycaemia. Homeostasis model assessment and high-sensitivity C-reactive protein are useful to identify subjects with isolated post-load hyperglycaemia, with improved performance over fasting plasma glucose or HbA(1c) alone.
Collapse
Affiliation(s)
- Y-C Lai
- Department of Internal Medicine, National Taiwan University Hospital, Yun-Lin Branch, Yun-Lin, Taiwan
| | | | | | | | | | | | | | | | | | | |
Collapse
|
33
|
Lee H, Oh JY, Sung YA, Kim DJ, Kim SH, Kim SG, Moon S, Park IB, Rhee EJ, Chung CH, Kim BJ, Ku BJ. Optimal hemoglobin A1C Cutoff Value for Diagnosing type 2 diabetes mellitus in Korean adults. Diabetes Res Clin Pract 2013; 99:231-6. [PMID: 23541039 DOI: 10.1016/j.diabres.2012.09.030] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/09/2012] [Revised: 08/29/2012] [Accepted: 09/10/2012] [Indexed: 02/02/2023]
Abstract
Commonly used tests for the diagnosis of diabetes include measurements of fasting plasma glucose levels and the oral glucose tolerance test (OGTT). Recently, a hemoglobin A1C (A1C) level of 6.5% has been included as a criterion for diabetes diagnosis by the American Diabetes Association. We aimed to determine appropriate A1C cutoff values for identifying patients with diabetes or prediabetes, including impaired glucose tolerance and impaired fasting glucose among Korean adults and to determine whether these cutoffs vary according to age. We recruited 4616 adults without a history of diabetes from 10 university hospitals. A 75-g OGTT and A1C sampling were performed in all examinees. Pointwise area under the receiver operating characteristic curve was used to evaluate the diagnostic accuracy of the A1C cutoff. An A1C threshold of 6.1% proved to be the optimal limit for diagnosing diabetes, with 63.8% sensitivity and 88.1% specificity. The cutoff value increased with age (5.9% in 18-39 years, 6.2% in 40-64 years, and 6.4% in older than 65 years) and were similar for men and women. An A1C cutoff of 5.7% had reasonable sensitivity (48.6%) and specificity (65.7%) for the identification of prediabetes. Further prospective studies should be carried out to determine whether the application of age-specific diagnostic criteria is appropriate.
Collapse
Affiliation(s)
- Hyejin Lee
- Department of Internal Medicine, Ewha Womans University School of Medicine, Republic of Korea
| | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
34
|
Bhansali A, Walia R, Ravi Kumar P, Ravi Kiran M, Shanmugasundar G. Accuracy of glycated haemoglobin in screening for pre-diabetes in Asian Indians--a community survey: the Chandigarh Urban Diabetes Study (CUDS). Diabet Med 2012; 29:1385-9. [PMID: 22414322 DOI: 10.1111/j.1464-5491.2012.03634.x] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
AIM To compare American Diabetes Association and International Expert Committee recommended cut-off values of HbA(1c) for detecting the presence of pre-diabetes against plasma glucose values obtained from oral glucose tolerance tests in Asian Indians. METHODS A cross-sectional randomly sampled population survey involving 2368 adults, aged ≥ 20 years. HbA(1c) was measured on a Bio-Rad 10 system in 1972 subjects. RESULTS Of the 1972 subjects studied, 329 were detected to have pre-diabetes based on isolated impaired fasting glucose in 125 subjects (6.3%), isolated impaired glucose tolerance in 141 subjects (7.1%) and the presence of both in 63 subjects (3.2%). The HbA(1c) cut-off of 34 mmol/mol (5.7%), as recommended by the American Diabetes Association for detecting the presence of pre-diabetes, showed sensitivity of 62%, specificity 77%, with a positive predictive value of 34.7%, a negative predictive value of 89.5% and accuracy of 67.8%; whereas the HbA(1c) cut-off recommended by the International Expert Committee of 42 mmol/mol (6%) had a sensitivity of 36%, specificity of 90%, positive predictive value of 42.7%, negative predictive of 85.4% and an accuracy of 77%. However, both these HbA(1c) cut-offs underdiagnosed the presence of pre-diabetes in 38 and 64% of these subjects, respectively. CONCLUSIONS The American Diabetes Association and the International Expert Committee recommended HbA(1c) cut-off values and oral glucose tolerance tests identify different pre-diabetes cohorts. Long-term prospective studies are required to define the usefulness of one over the other.
Collapse
Affiliation(s)
- A Bhansali
- Department of Endocrinology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
| | | | | | | | | |
Collapse
|
35
|
Yang C, Liu Y, Li X, Liang H, Jiang X. Utility of hemoglobin A1c for the identification of individuals with diabetes and prediabetes in a Chinese high risk population. Scandinavian Journal of Clinical and Laboratory Investigation 2012; 72:403-9. [PMID: 22640413 DOI: 10.3109/00365513.2012.689324] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
BACKGROUND The aim of the study was to assess the utility of Hemoglobin A1c (HbA1c) to identify individuals with undiagnosed DM and prediabetes (preDM) in the high risk population of Chinese people. METHODS A total of 424 high risk individuals without known diabetes, who met at least three of the high risk factors for DM (hypertension, abnormal blood lipid, family history of DM and high BMI) were selected for this study, HbA1c, fasting plasma concentrations of glucose (FPG) and a 75 g oral glucose tolerance test (OGTT) were measured. The performance of HbA1c in relation to undiagnosed DM and preDM investigated through receiver operating characteristic (ROC) curves, the reference for DM and preDM, are according to the 2011 WHO-FPG/OGTT criteria and the appropriate cut-off points of HbA1c for DM and preDM were assessed. The properties of HbA1c diagnosing DM and preDM were also compared with that of the fasting plasma glucose (FPG). RESULTS It was shown that the AUC (area under the curve) of the ROC curve for HbA1c predicting undiagnosed DM was similar to that of FPG, and the cut-off point of HbA1c 6.2% was optimal for predicting DM, with a sensitivity of 66%, and a specificity of 91%. Furthermore, the cut-off point of HbA1c was 5.9% for preDM with a sensitivity of 70%, a specificity of 87%. CONCLUSION Collectively, this study found that the measurement of HbA1c may be efficient to diagnosis undiagnosed both DM and preDM with the cut-off point of 6.2% and 5.9%, respectively.
Collapse
Affiliation(s)
- Chun Yang
- Department of Clinical Biochemistry Laboratory, The 4th affiliated Hospital of Harbin Medical University, Harbin, China
| | | | | | | | | |
Collapse
|
36
|
Yu Y, Ouyang XJ, Lou QL, Gu LB, Mo YZ, Ko GT, Chow CC, So WY, Ma R, Kong A, Brown N, Nan J, Chan J, Bian RW. Validity of glycated hemoglobin in screening and diagnosing type 2 diabetes mellitus in Chinese subjects. Korean J Intern Med 2012; 27:41-6. [PMID: 22403498 PMCID: PMC3295987 DOI: 10.3904/kjim.2012.27.1.41] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2011] [Revised: 05/30/2011] [Accepted: 09/01/2011] [Indexed: 01/22/2023] Open
Abstract
BACKGROUND/AIMS The application of glycated hemoglobin (HbA(1c)) for the diagnosis of diabetes is currently under extensive discussion. In this study, we explored the validity of using HbA(1c) as a screening and diagnostic test in Chinese subjects recruited in Nanjing, China. METHODS In total, 497 subjects (361 men and 136 women) with fasting plasma glucose (PG) ≥ 5.6 mmol/L were recruited to undergo the oral glucose tolerance test (OGTT) and HbA(1c) test. Plasma lipid, uric acid, and blood pressure were also measured. RESULTS Using a receiver operating characteristic curve, the optimal cutoff point of HbA(1c) related to diabetes diagnosed by the OGTT was 6.3%, with a sensitivity and specificity of 79.6% and 82.2%, respectively, and the area under the curve was 0.87 (95% confidence interval, 0.83 to 0.92). A HbA(1c) level of 6.5% had a sensitivity and specificity of 62.7% and 93.5%, respectively. When comparing the HbA(1c) ≥ 6.5% or OGTT methods for diagnosing diabetes, the former group had significantly higher HbA(1c) levels and lower levels of fasting and 2-hour PG than the latter group. No significant difference was observed in the other metabolism indexes between the two groups. CONCLUSIONS Our results suggest that HbA(1c) ≥ 6.5% has reasonably good specificity for diagnosing diabetes in Chinese subjects, which is in concordance with the American Diabetes Association recommendations.
Collapse
Affiliation(s)
- Yun Yu
- Diabetes Care and Research Center, Jiangsu Province Institute of Geriatrics, Nanjing, China
- Department of Endocrinology and Metabolism, Jiangsu Province Official Hospital, Nanjing, China
| | - Xiao-Jun Ouyang
- Diabetes Care and Research Center, Jiangsu Province Institute of Geriatrics, Nanjing, China
- Department of Endocrinology and Metabolism, Jiangsu Province Official Hospital, Nanjing, China
| | - Qing-Lin Lou
- Diabetes Care and Research Center, Jiangsu Province Institute of Geriatrics, Nanjing, China
- Department of Endocrinology and Metabolism, Jiangsu Province Official Hospital, Nanjing, China
| | - Liu-Bao Gu
- Diabetes Care and Research Center, Jiangsu Province Institute of Geriatrics, Nanjing, China
- Department of Endocrinology and Metabolism, Jiangsu Province Official Hospital, Nanjing, China
| | - Yong-Zhen Mo
- Diabetes Care and Research Center, Jiangsu Province Institute of Geriatrics, Nanjing, China
| | - Gary T. Ko
- Department of Medicine and Therapeutics, Prince of Wales Hospital, the Chinese University of Hong Kong, Hong Kong, China
- Asia Diabetes Foundation, Hong Kong, China
| | - Chun-Chung Chow
- Department of Medicine and Therapeutics, Prince of Wales Hospital, the Chinese University of Hong Kong, Hong Kong, China
| | - Wing-Yee So
- Department of Medicine and Therapeutics, Prince of Wales Hospital, the Chinese University of Hong Kong, Hong Kong, China
| | - Ronald Ma
- Department of Medicine and Therapeutics, Prince of Wales Hospital, the Chinese University of Hong Kong, Hong Kong, China
| | - Alice Kong
- Department of Medicine and Therapeutics, Prince of Wales Hospital, the Chinese University of Hong Kong, Hong Kong, China
| | | | | | - Juliana Chan
- Department of Medicine and Therapeutics, Prince of Wales Hospital, the Chinese University of Hong Kong, Hong Kong, China
- Asia Diabetes Foundation, Hong Kong, China
| | - Rong-Wen Bian
- Diabetes Care and Research Center, Jiangsu Province Institute of Geriatrics, Nanjing, China
- Department of Endocrinology and Metabolism, Jiangsu Province Official Hospital, Nanjing, China
| |
Collapse
|
37
|
Kim JH, Kim GW, Lee MY, Shin JY, Shin YG, Koh SB, Chung CH. Role of HbA1c in the Screening of Diabetes Mellitus in a Korean Rural Community. Diabetes Metab J 2012; 36:37-42. [PMID: 22363920 PMCID: PMC3283825 DOI: 10.4093/dmj.2012.36.1.37] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/13/2010] [Accepted: 05/23/2011] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND Recently, the measurement of glycated hemoglobin (HbA1c) was recommended as an alternative to fasting plasma glucose or oral glucose tolerance tests for diagnosing diabetes mellitus (DM). In this study, we analyzed HbA1c levels for diabetes mellitus screening in a Korean rural population. METHODS We analyzed data from 10,111 subjects from a Korean Rural Genomic Cohort study and generated a receiver operating characteristic curve to determine an appropriate HbA1c cutoff value for diabetes. RESULTS The mean age of the subjects was 56.3±8.1 years. Fasting plasma glucose and 2-hour plasma glucose after 75 g oral glucose tolerance tests were 97.5±25.6 and 138.3±67.1 mg/dL, respectively. The mean HbA1c level of the subjects was 5.7±0.9%. There were 8,809 non-DM patients (87.1%) and 1,302 DM patients (12.9%). A positive relationship between HbA1c and plasma glucose levels and between HbA1c and 2-hour plasma glucose levels after oral glucose tolerance tests was found in a scatter plot of the data. Using Youden's index, the proper cutoff level of HbA1c for diabetes mellitus screening was 5.95% (sensitivity, 77%; specificity, 89.4%). CONCLUSION Our results suggest that the optimal HbA1c level for DM screening is 5.95%.
Collapse
Affiliation(s)
- Jae Hyun Kim
- Department of Internal Medicine, Yonsei University Wonju College of Medicine, Wonju, Korea
| | - Gun Woo Kim
- Department of Internal Medicine, Yonsei University Wonju College of Medicine, Wonju, Korea
| | - Mi Young Lee
- Department of Internal Medicine, Yonsei University Wonju College of Medicine, Wonju, Korea
| | - Jang Yel Shin
- Department of Internal Medicine, Yonsei University Wonju College of Medicine, Wonju, Korea
| | - Young Goo Shin
- Department of Internal Medicine, Yonsei University Wonju College of Medicine, Wonju, Korea
| | - Sang Baek Koh
- Department of Preventive Medicine, Yonsei University Wonju College of Medicine, Wonju, Korea
| | - Choon Hee Chung
- Department of Internal Medicine, Yonsei University Wonju College of Medicine, Wonju, Korea
- Institute of Lifestyle Medicine, Yonsei University Wonju College of Medicine, Wonju, Korea
| |
Collapse
|
38
|
Kim JH, Shin JH, Lee HJ, Kim SY, Bae HY. Discordance between HbA1c and fasting plasma glucose criteria for diabetes screening is associated with obesity and old age in Korean individuals. Diabetes Res Clin Pract 2011; 94:e27-9. [PMID: 21835487 DOI: 10.1016/j.diabres.2011.07.013] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/23/2011] [Accepted: 07/11/2011] [Indexed: 12/16/2022]
Abstract
We evaluated the agreement between HbA1c- and FPG-based criteria for screening of diabetes in an asymptomatic Korean population and identified independent factors associated with discordance. The discordance between the two diabetic criteria was significantly associated with obesity and older age.
Collapse
Affiliation(s)
- Jin Hwa Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Chosun University Hospital, 588 Seoseok-Dong, Dong-Gu, Gwangju 501-717, Republic of Korea
| | | | | | | | | |
Collapse
|
39
|
Nair M, Prabhakaran D, Venkat Narayan K, Sinha R, Lakshmy R, Devasenapathy N, Daniel CR, Gupta R, George PS, Mathew A, Tandon N, Reddy KS. HbA(1c) values for defining diabetes and impaired fasting glucose in Asian Indians. Prim Care Diabetes 2011; 5:95-102. [PMID: 21474403 PMCID: PMC3117965 DOI: 10.1016/j.pcd.2011.02.002] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2010] [Revised: 02/02/2011] [Accepted: 02/16/2011] [Indexed: 02/06/2023]
Abstract
AIM To determine the glycosylated haemoglobin (HbA(1c)) cut-points for diabetes and impaired fasting glucose (IFG) among Asian Indians. METHODS Participants (n=525) were a random sample selected from the India Health Study. Based on history and fasting plasma glucose (FPG), participants were classified into known diabetes, newly diagnosed diabetes (NDD), impaired fasting glucose (IFG) [ADA and WHO criteria] or normal fasting glucose (NFG). Receiver Operating Characteristic curves were used to identify the optimum sensitivity and specificity for defining HbA(1c) cut-points for NDD and IFG against the FPG criteria. RESULTS There were 64 participants with a known history of diabetes. Of the remaining 461, IFG was present in 44.7% (ADA) and 18.2% (WHO), and 10.4% were NDD. Mean HbA(1c) were 5.4 (±0.04)% for NFG; 5.7 (±0.06)% among IFG-ADA, 5.8 (±0.09)% among IFG-WHO; 7.5 (±0.33)% for NDD and 8.4 (±0.32)% for known diabetes. Optimal HbA(1c) cut-point for NDD was 5.8% (sensitivity=75%, specificity=75.5%, AUC=0.819). Cut-point for IFG (ADA) was 5.5% (sensitivity=59.7%, specificity=59.9%, AUC=0.628) and for IFG (WHO) was 5.6% (sensitivity=60.7%, specificity=65.1%, AUC=0.671). CONCLUSION In this study population from north and south regions of India, the HbA(1c) cut-point that defines NDD (≥5.8%) was much lower than that proposed by an international expert committee and the American Diabetes Association (≥6.5%). A cut-point of ≥5.5% or ≥5.6% defined IFG, and was slightly lower than the ≥5.7% for high risk proposed, but accuracy was less than 70%.
Collapse
Affiliation(s)
- Manisha Nair
- Fogarty International Centre & Centre of Excellence-Centre for Cardiometabolic Risk Reduction in South Asia, Public Health Foundation of India, New Delhi, India
| | - Dorairaj Prabhakaran
- Public Health Foundation of India and Centre for Chronic Disease Control, New Delhi, India
| | | | - Rashmi Sinha
- Nutritional Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, MD, USA
| | - Ramakrishna Lakshmy
- Department of Cardiac Biochemistry, All India Institute of Medical Sciences (AIIMS), New Delhi, India
| | | | - Carrie R. Daniel
- Nutritional Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, MD, USA
| | - Ruby Gupta
- Department of Cardiac Biochemistry, All India Institute of Medical Sciences (AIIMS), New Delhi, India
| | | | | | - Nikhil Tandon
- Dept of Endocrinology & Metabolism, All India Institute of Medical Sciences, New Delhi, India
| | | |
Collapse
|
40
|
Abstract
Hyperglycemia that does not satisfy the diagnostic criteria for diabetes mellitus (DM) is generally called prediabetes (preDM). The global prevalence of preDM has been increasing progressively in the past few decades, and it has been established that preDM status is a strong risk factor for DM and cardiovascular disease. Currently, preDM status is classified into two subtypes: impaired fasting glucose and impaired glucose tolerance. Currently, preDM is not regarded as an independent clinical entity, but only as a risk factor for others. In this article, we review various clinical aspects of preDM in terms of the working definition, changes in criteria over the years, epidemiology, and pathophysiological characteristics, and its clinical significance in current medicine.
Collapse
Affiliation(s)
- Sang Youl Rhee
- Department of Endocrinology and Metabolism, Kyung Hee University School of Medicine; Research Institute of Endocrinology, Kyung Hee University, Seoul, Korea
| | - Jeong-Taek Woo
- Department of Endocrinology and Metabolism, Kyung Hee University School of Medicine; Research Institute of Endocrinology, Kyung Hee University, Seoul, Korea
| |
Collapse
|
41
|
Choi SH, Kim TH, Lim S, Park KS, Jang HC, Cho NH. Hemoglobin A1c as a diagnostic tool for diabetes screening and new-onset diabetes prediction: a 6-year community-based prospective study. Diabetes Care 2011; 34:944-9. [PMID: 21335372 PMCID: PMC3064055 DOI: 10.2337/dc10-0644] [Citation(s) in RCA: 65] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Various cutoff levels of hemoglobin A(1c) (A1C) have been suggested to screen for diabetes, although more consensus about the best level, especially for different ethnicities, is required. We evaluated the usefulness of A1C levels when screening for undiagnosed diabetes and as a predictor of 6-year incident diabetes in a prospective, population-based cohort study. RESEARCH DESIGN AND METHODS A total 10,038 participants were recruited from the Ansung-Ansan cohort study. All subjects underwent a 75-g oral glucose tolerance test at baseline and at each biennial follow-up. Excluding subjects with a previous history of diabetes (n = 572), the receiver operating characteristic curve was used to evaluate the diagnostic accuracy of the A1C cutoff. The Cox proportional hazards model was used to predict diabetes at 6 years. RESULTS At baseline, 635 participants (6.8%) had previously undiagnosed diabetes. An A1C cutoff of 5.9% produced the highest sum of sensitivity (68%) and specificity (91%). At 6 years, 895 (10.2%) subjects had developed incident diabetes. An A1C cutoff of 5.6% had the highest sum of sensitivity (59%) and specificity (77%) for the identification of subsequent 6-year incident diabetes. After multivariate adjustment, men with baseline A1C ≥5.6% had a 2.4-fold increased risk and women had a 3.1-fold increased risk of new-onset diabetes. CONCLUSIONS A1C is an effective and convenient method for diabetes screening. An A1C cutoff of 5.9% may identify subjects with undiagnosed diabetes. Individuals with A1C ≥5.6% have an increased risk for future diabetes.
Collapse
Affiliation(s)
- Sung Hee Choi
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.
| | | | | | | | | | | |
Collapse
|
42
|
Mostafa SA, Khunti K, Srinivasan BT, Webb D, Davies MJ. Detecting Type 2 diabetes and impaired glucose regulation using glycated hemoglobin in different populations. ACTA ACUST UNITED AC 2011. [DOI: 10.2217/dmt.10.11] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
|
43
|
Oh SW, Kim YC, Koo HS, Jin DC, Na KY, Chae DW, Kim S, Chin HJ. Glycated haemoglobin and the incidence of end-stage renal disease in diabetics. Nephrol Dial Transplant 2010; 26:2238-44. [DOI: 10.1093/ndt/gfq707] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
|
44
|
Hu Y, Liu W, Chen Y, Zhang M, Wang L, Zhou H, Wu P, Teng X, Dong Y, Zhou JW, Xu H, Zheng J, Li S, Tao T, Hu Y, Jia Y. Combined use of fasting plasma glucose and glycated hemoglobin A1c in the screening of diabetes and impaired glucose tolerance. Acta Diabetol 2010; 47:231-6. [PMID: 19760291 DOI: 10.1007/s00592-009-0143-2] [Citation(s) in RCA: 78] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/10/2009] [Accepted: 09/03/2009] [Indexed: 11/25/2022]
Abstract
The aim of this study is to assess the validity of combined use of fasting plasma glucose (FPG) and glycated hemoglobin A1c (HbA1c) as screening tests for diabetes and impaired glucose tolerance (IGT) in high-risk subjects. A total of 2,298 subjects were included. All subjects underwent a 75-g oral glucose tolerance test (OGTT) and HbA1c measurement. Receiver operating characteristic curve (ROC curve) analysis was used to examine the sensitivity and specificity of FPG and HbA1c for detecting diabetes and IGT, which was defined according to the 1999 World Health Organization (WHO) criteria. (1) Based on the ROC curve, the optimal cut point of FPG related to diabetes diagnosed by OGTT was 6.1 mmol/l that was associated with a sensitivity and specificity of 81.5 and 81.0%, respectively; The optimal cut point of HbA1c related to diabetes diagnosed by OGTT was 6.1%, which was associated with a sensitivity and specificity of 81.0 and 81.0%, respectively; The screening model using FPG > or = 6.1 mmol/l or HbA1c > or = 6.1% had sensitivity of 96.5% for detecting undiagnosed diabetes; the screening model using FPG > or = 6.1 mmol/l and HbA1c > or = 6.1% had specificity of 96.3% for detecting undiagnosed diabetes. (2) Based on the ROC curve, the optimal cut point of FPG related to IGT diagnosed by OGTT was 5.6 mmol/l that was associated with a sensitivity and specificity of 64.1 and 65.4%, respectively; The optimal cut point of HbA1c related to IGT diagnosed by OGTT was 5.6%, which was associated with a sensitivity and specificity of 66.2 and 51.0%, respectively; The screening model using FPG > or = 5.6 mmol/l or HbA1c > or = 5.6% had sensitivity of 87.9% for detecting undiagnosed IGT; The screening model using FPG > or = 5.6 mmol/l and HbA1c > or = 5.6% had specificity of 82.4% for detecting undiagnosed IGT. Compared with FPG or HbA1c alone, the simultaneous measurement of FPG and HbA1c (FPG and/or HbA1C) might be a more sensitive and specific screening tool for identifying high-risk individuals with diabetes and IGT at an early stage.
Collapse
Affiliation(s)
- Yaomin Hu
- Department of Endocrinology, Renji Hospital, Shanghai Jiaotong University, China
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
45
|
Bao Y, Ma X, Li H, Zhou M, Hu C, Wu H, Tang J, Hou X, Xiang K, Jia W. Glycated haemoglobin A1c for diagnosing diabetes in Chinese population: cross sectional epidemiological survey. BMJ 2010; 340:c2249. [PMID: 20478961 PMCID: PMC2871988 DOI: 10.1136/bmj.c2249] [Citation(s) in RCA: 101] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
OBJECTIVES To evaluate haemoglobin A1c (HbA(1c)) in diagnosing diabetes and identify the optimal HbA(1c) threshold to be used in Chinese adults. DESIGN Multistage stratified cross sectional epidemiological survey. SETTING Shanghai, China, 2007-8. PARTICIPANTS 4886 Chinese adults over 20 years of age with no history of diabetes. MAIN OUTCOME MEASURES Performance of HbA(1c) at increasing thresholds for diagnosing diabetes. RESULTS The area under the receiver operating characteristics curve for detecting undiagnosed diabetes was 0.856 (95% confidence interval 0.828 to 0.883) for HbA(1c) alone and 0.920 (0.900 to 0.941) for fasting plasma glucose alone. Very high specificity (96.1%, 95% confidence interval 95.5% to 96.7%) was achieved at an HbA(1c) threshold of 6.3% (2 SD above the normal mean). Moreover, the corresponding sensitivity was 62.8% (57.1% to 68.3%), which was equivalent to that of a fasting plasma glucose threshold of 7.0 mmol/l (57.5%, 51.7% to 63.1%) in detecting undiagnosed diabetes. In participants at high risk of diabetes, the HbA(1c) threshold of 6.3% showed significantly higher sensitivity (66.9%, 61.0% to 72.5%) than both fasting plasma glucose >or=7.0 mmol/l (54.4%, 48.3% to 60.4%) and HbA(1c) >or=6.5% (53.7%, 47.6% to 59.7%) (P<0.01). CONCLUSIONS An HbA(1c) threshold of 6.3% was highly specific for detecting undiagnosed diabetes in Chinese adults and had sensitivity similar to that of using a fasting plasma glucose threshold of 7.0 mmol/l. This optimal HbA(1c) threshold may be suitable as a diagnostic criterion for diabetes in Chinese adults when fasting plasma glucose and oral glucose tolerance tests are not available.
Collapse
Affiliation(s)
- Yuqian Bao
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Diabetes Institute, Shanghai Clinical Center of Diabetes, Shanghai 200233, China
| | | | | | | | | | | | | | | | | | | |
Collapse
|
46
|
Bae JC, Rhee EJ, Choi ES, Kim JH, Kim WJ, Yoo SH, Park SE, Park CY, Lee WY, Oh KW, Park SW, Kim SW. The Cutoff Value of HbA1c in Predicting Diabetes in Korean Adults in a University Hospital in Seoul. KOREAN DIABETES JOURNAL 2009. [DOI: 10.4093/kdj.2009.33.6.503] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
- Ji Cheol Bae
- Department of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Eun Jung Rhee
- Department of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Eun Suk Choi
- Department of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Ji Hoon Kim
- Department of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Won Jun Kim
- Department of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Seung Hyun Yoo
- Department of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Se Eun Park
- Department of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Cheol Young Park
- Department of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Won Young Lee
- Department of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Ki Won Oh
- Department of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Sung Woo Park
- Department of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Sun Woo Kim
- Department of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea
| |
Collapse
|
47
|
Ginde AA, Cagliero E, Nathan DM, Camargo CA. Value of risk stratification to increase the predictive validity of HbA1c in screening for undiagnosed diabetes in the US population. J Gen Intern Med 2008; 23:1346-53. [PMID: 18543044 PMCID: PMC2517991 DOI: 10.1007/s11606-008-0661-6] [Citation(s) in RCA: 36] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/29/2007] [Revised: 01/29/2008] [Accepted: 04/25/2008] [Indexed: 10/22/2022]
Abstract
BACKGROUND Opportunistic screening using hemoglobin A1c (HbA1c) may improve detection of undiagnosed diabetes but remains controversial. OBJECTIVE To evaluate the predictive validity of HbA1c as a screening test for undiagnosed diabetes in a risk-stratified sample of the US population. DESIGN Weighted cross-sectional analysis of diabetes risk factors, HbA1c, and fasting plasma glucose (FPG) in National Health and Nutrition Examination Survey (NHANES), 1999-2004. SUBJECTS Six thousand seven hundred and twenty-three NHANES participants from morning examination session, aged > or = 18 years and without prior physician-diagnosed diabetes. MEASUREMENTS HbA1c and undiagnosed diabetes defined by FPG > or = 7.0 mmol/l (126 mg/dl). RESULTS The estimated prevalence of undiagnosed diabetes in the US population was 2.8% (5.5 million people). HbA1c had strong correlation with undiagnosed diabetes, with an area under the receiver-operating characteristic curve of 0.93. Independent predictors of undiagnosed diabetes were older age, male sex, black race, hypertension, elevated waist circumference, elevated triglycerides, and low high-density lipoprotein cholesterol. We derived a risk score for undiagnosed diabetes and stratified participants into low (0.44% prevalence), moderate (4.1% prevalence), and high (11.1% prevalence) risk subgroups. In moderate and high risk groups, a threshold HbA1c value > or = 6.1% identified patients requiring confirmatory FPG; HbA1c < or = 5.4% identified patients for whom diabetes could be reliably excluded. Intermediate HbA1c (5.5-6.0%) may exclude diabetes in moderate, but not high risk groups). CONCLUSIONS Risk stratification improves the predictive validity of HbA1c in screening for undiagnosed diabetes in the US population. Although opportunistic screening with HbA1c would improve detection of undiagnosed diabetes, cost-effectiveness studies are needed before implementation of specific screening strategies using HbA1c.
Collapse
Affiliation(s)
- Adit A Ginde
- Department of Emergency Medicine, University of Colorado Denver School of Medicine, Aurora, CO 80045, USA.
| | | | | | | |
Collapse
|
48
|
Berg AH, Sacks DB. Haemoglobin A1c analysis in the management of patients with diabetes: from chaos to harmony: Table 1. J Clin Pathol 2008; 61:983-7. [DOI: 10.1136/jcp.2007.049205] [Citation(s) in RCA: 27] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Effective management of patients with diabetes mellitus requires accurate assessments of blood glucose control. The best characterised marker of long term glycaemic control is whole blood haemoglobin A1c (HbA1c). Published clinical trials have identified quantitative and direct relationships between the HbA1c concentration and risks of diabetic microvascular complications. However, in order to practice evidence-based medicine, assays used to measure patient samples should ideally produce values comparable to the assays used in these trials. Numerous assays using chromatographic and immunological detection methods are used around the world. This paper briefly reviews the scientific evolution of HbA1c and its analysis, discusses the reasons why HbA1c assay standardisation is a challenge, describes the approaches that have been adopted to harmonise HbA1c assays, and addresses the current initiatives to standardise HbA1c globally. These efforts have established HbA1c as an essential component in the management of patients with diabetes mellitus and are likely to lead to the use of HbA1c in the screening/diagnosis of diabetes.
Collapse
|
49
|
Kim KS, Kim SK, Lee YK, Park SW, Cho YW. Diagnostic value of glycated haemoglobin HbA(1c) for the early detection of diabetes in high-risk subjects. Diabet Med 2008; 25:997-1000. [PMID: 18959616 DOI: 10.1111/j.1464-5491.2008.02489.x] [Citation(s) in RCA: 39] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
OBJECTIVE The aim of this study was to assess the validity of fasting plasma glucose (FPG) and/or glycated haemoglobin (HbA(1c)) as screening tests for the early detection of diabetes in high-risk subjects. METHODS A total of 392 subjects (149 male and 243 female) with risk factors for diabetes were included. All subjects underwent a 75-g oral glucose tolerance test and HbA(1c) measurement. Receiver operating characteristic curve analysis was used to examine the sensitivity and specificity of FPG and HbA(1c) for detecting diabetes, which was defined as a FPG > or = 7.0 mmol/l or a post-challenge 2-h plasma glucose > or = 11.1 mmol/l. RESULTS The prevalence of newly diagnosed diabetes was 22.4% (n = 88). The current guideline of FPG > or = 7.0 mmol/l for diabetes screening detected only 55.7% of diabetic subjects. The optimal cut-off points of HbA(1c) and FPG for the diagnosis of diabetes were 6.1% (sensitivity 81.8%, specificity 84.9%) and 6.1 mmol/l (sensitivity 85.2%, specificity 88.5%), respectively. The screening model using FPG > or = 6.1 mmol/l and/or HbA(1c) > or = 6.1% had sensitivities of 71.6-95.5% and specificities of 77.6-95.7% for detecting undiagnosed diabetes. CONCLUSIONS The current American Diabetes Association diagnostic criteria, based only on FPG, are relatively insensitive in the detection of diabetes in high-risk subjects. The simultaneous measurement of FPG and HbA(1c) might be a more sensitive screening tool for identifying high-risk individuals with diabetes at an early stage.
Collapse
Affiliation(s)
- K-S Kim
- Department of Internal Medicine, College of Medicine, Pochon CHA University, Bundang-Gu, Sungnam, Korea
| | | | | | | | | |
Collapse
|
50
|
Saudek CD, Herman WH, Sacks DB, Bergenstal RM, Edelman D, Davidson MB. A new look at screening and diagnosing diabetes mellitus. J Clin Endocrinol Metab 2008; 93:2447-53. [PMID: 18460560 DOI: 10.1210/jc.2007-2174] [Citation(s) in RCA: 265] [Impact Index Per Article: 16.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
OBJECTIVE Diabetes is underdiagnosed. About one third of people with diabetes do not know they have it, and the average lag between onset and diagnosis is 7 yr. This report reconsiders the criteria for diagnosing diabetes and recommends screening criteria to make case finding easier for clinicians and patients. PARTICIPANTS R.M.B. invited experts in the area of diagnosis, monitoring, and management of diabetes to form a panel to review the literature and develop consensus regarding the screening and diagnosis of diabetes with particular reference to the use of hemoglobin A1c (HbA1c). Participants met in open session and by E-mail thereafter. Metrika, Inc. sponsored the meeting. EVIDENCE A literature search was performed using standard search engines. CONSENSUS PROCESS The panel heard each member's discussion of the issues, reviewing evidence prior to drafting conclusions. Principal conclusions were agreed on, and then specific cut points were discussed in an iterative consensus process. CONCLUSIONS The main factors in support of using HbA1c as a screening and diagnostic test include: 1) HbA1c does not require patients to be fasting; 2) HbA1c reflects longer-term glycemia than does plasma glucose; 3) HbA1c laboratory methods are now well standardized and reliable; and 4) errors caused by nonglycemic factors affecting HbA1c such as hemoglobinopathies are infrequent and can be minimized by confirming the diagnosis of diabetes with a plasma glucose (PG)-specific test. Specific recommendations include: 1) screening standards should be established that prompt further testing and closer follow-up, including fasting PG of 100 mg/dl or greater, random PG of 130 mg/dl or greater, or HbA1c greater than 6.0%; 2) HbA1c of 6.5-6.9% or greater, confirmed by a PG-specific test (fasting plasma glucose or oral glucose tolerance test), should establish the diagnosis of diabetes; and 3) HbA1c of 7% or greater, confirmed by another HbA1c- or a PG-specific test (fasting plasma glucose or oral glucose tolerance test) should establish the diagnosis of diabetes. The recommendations are offered for consideration of the clinical community and interested associations and societies.
Collapse
|