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Xu Q, Wang J, Lin Z, Song D, Ji K, Xiang H. The glycemic gap as a prognostic indicator in cardiogenic shock: a retrospective cohort study. BMC Cardiovasc Disord 2024; 24:468. [PMID: 39223451 PMCID: PMC11368036 DOI: 10.1186/s12872-024-04138-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2024] [Accepted: 08/21/2024] [Indexed: 09/04/2024] Open
Abstract
BACKGROUND Stress-induced hyperglycemia (SIH) is associated with poor outcomes in cardiogenic shock (CS), and there have been inconsistent results among patients with or without diabetes mellitus (DM). The glycemic gap (GG) is derived by subtracting A1c-derived average glucose from blood glucose levels; it is a superior indicator of SIH. We aimed to explore the role of GG in the outcomes of patients with CS. METHODS Data on patients diagnosed with CS were extracted from the MIMIC-IV v2.0 database to investigate the relationship between GG and 30-day mortality (Number of absolute GG subjects = 359; Number of relative GG subjects = 357). CS patients from the Second Affiliated Hospital of Wenzhou Medical University were enrolled to explore the correlation between GG and lactic acid (Number of absolute GG subjects = 252; Number of relative GG subjects = 251). Multivariate analysis, propensity score-matched (PSM) analysis, inverse probability treatment weighting (IPTW), and Pearson correlation analysis were applied. RESULTS Absolute GG was associated with 30-day all-cause mortality in CS patients (HRadjusted: 1.779 95% CI: 1.137-2.783; HRPSM: 1.954 95% CI: 1.186-3.220; HRIPTW: 1.634 95% CI: 1.213-2.202). The higher the absolute GG level, the higher the lactic acid level (βadjusted: 1.448 95% CI: 0.474-2.423). A similar trend existed in relative GG (HRadjusted: 1.562 95% CI: 1.003-2.432; HRPSM: 1.790 95% CI: 1.127-2.845; HRIPTW: 1.740 95% CI: 1.287-2.352; βadjusted:1.294 95% CI: 0.369-2.219). Subgroup analysis showed that the relationship existed irrespective of DM. The area under the curve of GG combined with the Glasgow Coma Scale (GCS) for 30-day all-cause mortality was higher than that of GCS (absolute GG: 0.689 vs. 0.637; relative GG: 0.688 vs. 0.633). GG was positively related to the triglyceride-glucose index. Kaplan-Meier curves revealed that groups of higher GG with DM had the worst outcomes. The outcomes differed among races and GG levels (all P < 0.05). CONCLUSIONS Among patients with CS, absolute and relative GGs were associated with increased 30-day all-cause mortality, regardless of DM. The relationship was stable after multivariate Cox regression analysis, PSM, and IPTW analysis. Furthermore, they reflect the severity of CS to some extent. Hyperlactatemia and insulin resistance may underlie the relationship between stress-induced hyperglycemia and poor outcomes in CS patients. They both improve the predictive efficacy of the GCS.
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Affiliation(s)
- Qianqian Xu
- Department of Cardiology, The Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, Xueyuanxi Road, No 109, Wenzhou , Zhejiang, 325027, China
| | - Jinsheng Wang
- Department of Cardiology, The Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, Xueyuanxi Road, No 109, Wenzhou , Zhejiang, 325027, China
| | - Zhihui Lin
- Department of Cardiology, The Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, Xueyuanxi Road, No 109, Wenzhou , Zhejiang, 325027, China
| | - Dongyan Song
- Department of Cardiology, The Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, Xueyuanxi Road, No 109, Wenzhou , Zhejiang, 325027, China
| | - Kangting Ji
- Department of Cardiology, The Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, Xueyuanxi Road, No 109, Wenzhou , Zhejiang, 325027, China.
| | - Huaqiang Xiang
- Department of Cardiology, The Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, Xueyuanxi Road, No 109, Wenzhou , Zhejiang, 325027, China.
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Huang Y, Huang X, Zhong L, Yang J. Glycated haemoglobin index is a new predictor for all-cause mortality and cardiovascular mortality in the adults. Sci Rep 2024; 14:19629. [PMID: 39179628 PMCID: PMC11343730 DOI: 10.1038/s41598-024-70666-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Accepted: 08/20/2024] [Indexed: 08/26/2024] Open
Abstract
Glycosylated haemoglobin index (HGI) has been shown to correlate with the prognosis of metabolic diseases, but the relationship with mortality remains unclear. This study included 18,285 US adults who participated in the National Health and Nutrition Examination Survey (NHANES) between 1999 and 2018. During the median follow-up period of 115 months, a total of 2572 all-cause deaths and 671 cardiovascular disease (CVD) deaths occurred. The restricted cubic spline revealed a U-shaped correlation between HGI and all-cause and CVD mortality. After adjusting for all covariates, the optimal inflection point values in all-cause and CVD deaths were 0.17 and 0.02, respectively. In the left side of the inflection point, the risk of all-cause mortality and CVD mortality decreased by approximately 24% (HR 0.76, 95% CI 0.69, 0.84) and 25% (HR 0.75, 95% CI 0.60, 0.96) with the increase in HGI. Conversely, in the right of the inflection point, an increase of 1 unit in the HGI was linked with a 17% (HR 1.17, 95% CI 1.07, 1.27) and 31% (HR 1.31, 95% CI 1.15, 1.49) increase in all-cause and CVD mortality. Our study showed that HGI is an important tool for predicting the risk of all-cause mortality and CVD death in US adults and there is a U-shaped relationship between HGI and mortality.
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Affiliation(s)
- Yi Huang
- School of Pharmacy, Jiangxi University of Traditional Chinese Medicine, Nanchang, Jiangxi, China
| | - Xiantao Huang
- Department of Cardiovascular Medicine, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi, China
| | - Lingyun Zhong
- School of Pharmacy, Jiangxi University of Traditional Chinese Medicine, Nanchang, Jiangxi, China.
| | - Jingqi Yang
- Department of Cardiovascular Medicine, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi, China.
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Eng PC, Teo AED, Yew TW, Khoo CM. Implementing care for women with gestational diabetes after delivery-the challenges ahead. Front Glob Womens Health 2024; 5:1391213. [PMID: 39221169 PMCID: PMC11362992 DOI: 10.3389/fgwh.2024.1391213] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2024] [Accepted: 07/31/2024] [Indexed: 09/04/2024] Open
Abstract
Gestational diabetes (GDM), defined as glucose intolerance during pregnancy, affects one in six pregnancies globally and significantly increases a woman's lifetime risk of type 2 diabetes mellitus (T2DM). Being a relatively young group, women with GDM are also at higher risk of developing diabetes related complications (e.g., cardiovascular disease, non-alcoholic fatty liver disease) later in life. Children of women with GDM are also likely to develop GDM and this perpetuates a cycle of diabetes, escalating our current pandemic of metabolic disease. The global prevalence of GDM has now risen by more than 30% over the last two decades, making it an emerging public health concern. Antepartum management of maternal glucose is unable to fully mitigate the associated lifetime cardiometabolic risk. Thus, efforts may need to focus on improving care for women with GDM during the postpartum period where prevention or therapeutic strategies could be implemented to attenuate progression of GDM to DM and its associated vascular complications. However, strategies to provide care for women in the postpartum period often showed disappointing results. This has led to a missed opportunity to halt the progression of impaired glucose tolerance/impaired fasting glucose to DM in women with GDM. In this review, we examined the challenges in the management of women with GDM after delivery and considered how each of these challenges are defined and could present as a gap in translating evidence to clinical care. We highlighted challenges related to postpartum surveillance, postpartum glucose testing strategies, postpartum risk factor modification, and problems encountered in engagement of patients/providers to implement interventions strategies in women with GDM after delivery. We reasoned that a multisystem approach is needed to address these challenges and to retard progression to DM and cardiovascular disease (CVD) in women with GDM pregnancies. This is very much needed to pave way for an improved, precise, culturally sensitive and wholistic care for women with GDM.
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Affiliation(s)
- Pei Chia Eng
- Department of Endocrinology, National University Health Systems, Singapore, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Department of Digestion, Metabolism and Reproduction, Imperial College London, London, United Kingdom
| | - Ada Ee Der Teo
- Department of Endocrinology, National University Health Systems, Singapore, Singapore
| | - Tong Wei Yew
- Department of Endocrinology, National University Health Systems, Singapore, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Chin Meng Khoo
- Department of Endocrinology, National University Health Systems, Singapore, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
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Momenzadeh A, Cranney C, Choi SY, Bresee C, Tighiouart M, Gianchandani R, Pevnick J, Moore JH, Meyer JG. Medications that Regulate Gastrointestinal Transit Influence Inpatient Blood Glucose. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.07.31.24311287. [PMID: 39132476 PMCID: PMC11312652 DOI: 10.1101/2024.07.31.24311287] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 08/13/2024]
Abstract
Objective A multitude of factors affect a hospitalized individual's blood glucose (BG), making BG difficult to predict and manage. Beyond medications well established to alter BG, such as beta-blockers, there are likely many medications with undiscovered effects on BG variability. Identification of these medications and the strength and timing of these relationships has potential to improve glycemic management and patient safety. Materials and Methods EHR data from 103,871 inpatient encounters over 8 years within a large, urban health system was used to extract over 500 medications, laboratory measurements, and clinical predictors of BG. Feature selection was performed using an optimized Lasso model with repeated 5-fold cross-validation on the 80% training set, followed by a linear mixed regression model to evaluate statistical significance. Significant medication predictors were then evaluated for novelty against a comprehensive adverse drug event database. Results We found 29 statistically significant features associated with BG; 24 were medications including 10 medications not previously documented to alter BG. The remaining five factors were Black/African American race, history of type 2 diabetes mellitus, prior BG (mean and last) and creatinine. Discussion The unexpected medications, including several agents involved in gastrointestinal motility, found to affect BG were supported by available studies. This study may bring to light medications to use with caution in individuals with hyper- or hypoglycemia. Further investigation of these potential candidates is needed to enhance clinical utility of these findings. Conclusion This study uniquely identifies medications involved in gastrointestinal transit to be predictors of BG that may not well established and recognized in clinical practice.
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Affiliation(s)
- Amanda Momenzadeh
- Department of Computational Biomedicine; Cedars-Sinai; Los Angeles, CA USA
| | - Caleb Cranney
- Department of Computational Biomedicine; Cedars-Sinai; Los Angeles, CA
| | - So Yung Choi
- Biostatistics Shared Resource; Cedars-Sinai; Los Angeles, CA
| | | | | | - Roma Gianchandani
- Division of Endocrinology, Diabetes & Metabolism; Cedars-Sinai; Los Angeles, CA
| | - Joshua Pevnick
- Division of General Internal Medicine; Cedars-Sinai; Los Angeles, CA
| | - Jason H Moore
- Department of Computational Biomedicine; Cedars-Sinai; Los Angeles, CA
| | - Jesse G Meyer
- Department of Computational Biomedicine; Cedars-Sinai; Los Angeles, CA
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Schoonejans JM, Fan HM, Mitchell AL, Lövgren-Sandblom A, Sukumar N, Periyathambi N, Weldeselassie Y, Seed PT, Molinaro A, Marschall HU, Saravanan P, Williamson C. Serum bile acid measurements in women of European and South Asian ethnicity with or without gestational diabetes mellitus: A cohort study. BJOG 2024; 131:1218-1228. [PMID: 38424005 DOI: 10.1111/1471-0528.17798] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Revised: 02/13/2024] [Accepted: 02/16/2024] [Indexed: 03/02/2024]
Abstract
OBJECTIVE Investigation of serum bile acid profiles in pregnancies complicated by gestational diabetes mellitus (GDM) in a multi-ethnic cohort of women who are lean or obese. DESIGN Prospective cohort study. SETTING UK multicentre study. POPULATION Fasting serum from participants of European or South Asian self-reported ethnicity from the PRiDE study, between 23 and 31 weeks of gestation. METHODS Bile acids were measured using ultra-performance liquid chromatography-tandem mass spectrometry. Log-transformed data were analysed using linear regression in STATA/IC 15.0. MAIN OUTCOME MEASURES Total bile acids (TBAs), C4, fasting glucose and insulin. RESULTS The TBAs were 1.327-fold (1.105-1.594) increased with GDM in European women (P = 0.003). Women with GDM had 1.162-fold (1.002-1.347) increased levels of the BA synthesis marker C4 (P = 0.047). In South Asian women, obesity (but not GDM) increased TBAs 1.522-fold (1.193-1.942, P = 0.001). Obesity was associated with 1.420-fold (1.185-1.702) increased primary/secondary BA ratio (P < 0.001) related to 1.355-fold (1.140-1.611) increased primary BA concentrations (P = 0.001). TBAs were positively correlated with fasting glucose (P = 0.039) in all women, and with insulin (P = 0.001) and the Homeostatic Model Assessment for Insulin Resistance (HOMA-IR) (P = 0.001) in women with GDM. CONCLUSIONS Serum BA homeostasis in late gestation depends on body mass index and GDM in ethnicity-specific ways. This suggests ethnicity-specific aetiologies may contribute to metabolic risk in European and South Asian women, with the relationship between BAs and insulin resistance of greater importance in European women. Further studies into ethnicity-specific precision medicine for GDM are required.
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Affiliation(s)
- Josca M Schoonejans
- Department of Women and Children's Health, School of Life Course Sciences, King's College London, London, UK
- Department of Metabolism, Digestion & Reproduction, Institute of Reproductive and Developmental Biology, Imperial College London, London, UK
| | - Hei Man Fan
- Department of Women and Children's Health, School of Life Course Sciences, King's College London, London, UK
| | - Alice L Mitchell
- Department of Women and Children's Health, School of Life Course Sciences, King's College London, London, UK
- Department of Metabolism, Digestion & Reproduction, Institute of Reproductive and Developmental Biology, Imperial College London, London, UK
| | | | - Nithya Sukumar
- Department of Diabetes, Endocrinology and Metabolism, George Eliot Hospital, Nuneaton, UK
- Populations, Evidence and Technologies, Division of Health Sciences, Warwick Medical School, University of Warwick, Coventry, UK
| | - Nishanthi Periyathambi
- Department of Diabetes, Endocrinology and Metabolism, George Eliot Hospital, Nuneaton, UK
- Populations, Evidence and Technologies, Division of Health Sciences, Warwick Medical School, University of Warwick, Coventry, UK
| | - Yonas Weldeselassie
- Department of Diabetes, Endocrinology and Metabolism, George Eliot Hospital, Nuneaton, UK
- Populations, Evidence and Technologies, Division of Health Sciences, Warwick Medical School, University of Warwick, Coventry, UK
| | - Paul T Seed
- Department of Women and Children's Health, School of Life Course Sciences, King's College London, London, UK
| | - Antonio Molinaro
- Department of Molecular and Clinical Medicine, Wallenberg Laboratory, University of Gothenburg, Gothenburg, Sweden
| | - Hanns-Ulrich Marschall
- Department of Molecular and Clinical Medicine, Wallenberg Laboratory, University of Gothenburg, Gothenburg, Sweden
| | - Ponnusamy Saravanan
- Department of Diabetes, Endocrinology and Metabolism, George Eliot Hospital, Nuneaton, UK
- Populations, Evidence and Technologies, Division of Health Sciences, Warwick Medical School, University of Warwick, Coventry, UK
| | - Catherine Williamson
- Department of Women and Children's Health, School of Life Course Sciences, King's College London, London, UK
- Department of Metabolism, Digestion & Reproduction, Institute of Reproductive and Developmental Biology, Imperial College London, London, UK
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McDonough C, Li YC, Vangeepuram N, Liu B, Pandey G. A Comprehensive Youth Diabetes Epidemiological Data Set and Web Portal: Resource Development and Case Studies. JMIR Public Health Surveill 2024; 10:e53330. [PMID: 38666756 PMCID: PMC11252623 DOI: 10.2196/53330] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Revised: 02/06/2024] [Accepted: 04/26/2024] [Indexed: 05/03/2024] Open
Abstract
BACKGROUND The prevalence of type 2 diabetes mellitus (DM) and pre-diabetes mellitus (pre-DM) has been increasing among youth in recent decades in the United States, prompting an urgent need for understanding and identifying their associated risk factors. Such efforts, however, have been hindered by the lack of easily accessible youth pre-DM/DM data. OBJECTIVE We aimed to first build a high-quality, comprehensive epidemiological data set focused on youth pre-DM/DM. Subsequently, we aimed to make these data accessible by creating a user-friendly web portal to share them and the corresponding codes. Through this, we hope to address this significant gap and facilitate youth pre-DM/DM research. METHODS Building on data from the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2018, we cleaned and harmonized hundreds of variables relevant to pre-DM/DM (fasting plasma glucose level ≥100 mg/dL or glycated hemoglobin ≥5.7%) for youth aged 12-19 years (N=15,149). We identified individual factors associated with pre-DM/DM risk using bivariate statistical analyses and predicted pre-DM/DM status using our Ensemble Integration (EI) framework for multidomain machine learning. We then developed a user-friendly web portal named Prediabetes/diabetes in youth Online Dashboard (POND) to share the data and codes. RESULTS We extracted 95 variables potentially relevant to pre-DM/DM risk organized into 4 domains (sociodemographic, health status, diet, and other lifestyle behaviors). The bivariate analyses identified 27 significant correlates of pre-DM/DM (P<.001, Bonferroni adjusted), including race or ethnicity, health insurance, BMI, added sugar intake, and screen time. Among these factors, 16 factors were also identified based on the EI methodology (Fisher P of overlap=7.06×106). In addition to those, the EI approach identified 11 additional predictive variables, including some known (eg, meat and fruit intake and family income) and less recognized factors (eg, number of rooms in homes). The factors identified in both analyses spanned across all 4 of the domains mentioned. These data and results, as well as other exploratory tools, can be accessed on POND. CONCLUSIONS Using NHANES data, we built one of the largest public epidemiological data sets for studying youth pre-DM/DM and identified potential risk factors using complementary analytical approaches. Our results align with the multifactorial nature of pre-DM/DM with correlates across several domains. Also, our data-sharing platform, POND, facilitates a wide range of applications to inform future youth pre-DM/DM studies.
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Affiliation(s)
- Catherine McDonough
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Yan Chak Li
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Nita Vangeepuram
- Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, United States
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Bian Liu
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Gaurav Pandey
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States
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Kim SH. Reframing prediabetes: A call for better risk stratification and intervention. J Intern Med 2024; 295:735-747. [PMID: 38606904 DOI: 10.1111/joim.13786] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/13/2024]
Abstract
Prediabetes is an intermediate state of glucose homeostasis whereby plasma glucose concentrations are above normal but below the threshold of diagnosis for diabetes. Over the last several decades, criteria for prediabetes have changed as the cut points for normal glucose concentration and diagnosis of diabetes have shifted. Global consensus does not exist for prediabetes criteria; as a result, the clinical course and risk for type 2 diabetes vary. At present, we can identify individuals with prediabetes based on three glycemic tests (hemoglobin A1c, fasting plasma glucose, and 2-h plasma glucose during an oral glucose tolerance test). The majority of individuals diagnosed with prediabetes meet only one of these criteria. Meeting one, two, or all glycemic criteria changes risk for type 2 diabetes, but this information is not widely known and does not currently guide intervention strategies for individuals with prediabetes. This review summarizes current epidemiology, prognosis, and intervention strategies for individuals diagnosed with prediabetes and suggests a call for more precise risk stratification of individuals with prediabetes as elevated (one prediabetes criterion), high risk (two prediabetes criteria), and very high risk (three prediabetes criteria). In addition, the roles of oral glucose tolerance testing and continuous glucose monitoring in the diagnostic criteria for prediabetes need reassessment. Finally, we must reframe our goals for prediabetes and prioritize intensive interventions for those at high and very high risk for type 2 diabetes.
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Affiliation(s)
- Sun H Kim
- Division of Endocrinology, Gerontology and Metabolism, Stanford University School of Medicine, Stanford, California, USA
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Yang J, Shangguan Q, Xie G, Yang M, Sheng G. Sex-specific associations between haemoglobin glycation index and the risk of cardiovascular and all-cause mortality in individuals with pre-diabetes and diabetes: A large prospective cohort study. Diabetes Obes Metab 2024; 26:2275-2283. [PMID: 38454654 DOI: 10.1111/dom.15541] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Revised: 02/12/2024] [Accepted: 02/22/2024] [Indexed: 03/09/2024]
Abstract
AIM The aim of this study was to investigate the relationship between the haemoglobin glycation index (HGI), and cardiovascular disease (CVD) and all-cause mortality in adults with pre-diabetes and diabetes. METHODS This study included 10 267 adults with pre-diabetes and diabetes from the National Health and Nutrition Examination Survey (NHANES) 1999-2018. Sex-differentiated relationships between HGI and mortality were elucidated using multivariate Cox proportional hazards models, restricted cubic splines and a two-piecewise Cox proportional hazards model. RESULTS During the median follow-up time of 103.5 months, a total of 535 CVD deaths and 1918 all-cause deaths were recorded. After multivariate adjustment, in males with pre-diabetes and diabetes, there was a U-shaped relationship between HGI and CVD mortality and all-cause mortality, with threshold points of -0.68 and -0.63, respectively. Before the threshold point, HGI was negatively associated with CVD mortality [hazard ratio (HR) 0.60; 95% confidence interval (CI) 0.41, 0.89] and all-cause mortality (HR 0.56; 95% CI 0.43, 0.74), and after the threshold point, HGI was positively associated with CVD mortality (HR 1.46; 95% CI 1.23, 1.73) and all-cause mortality (HR 1.40; 95% CI 1.23, 1.59). In contrast, HGI had an L-shaped relationship with all-cause mortality and no significant association with CVD mortality in females. To the left of the threshold points, the risk of all-cause mortality decreased (HR 0.50; 95% CI 0.35, 0.71) progressively with increasing HGI. CONCLUSIONS In the cohort study, HGI in pre-diabetic and diabetic populations was found to have a U-shaped association with CVD mortality and all-cause mortality in males and an L-shaped association with all-cause mortality only in females. Further prospective and mechanistic studies are warranted.
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Affiliation(s)
- Jingqi Yang
- Department of Cardiovascular Medicine, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China
| | - Qing Shangguan
- Department of Cardiovascular Medicine, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China
| | - Guobo Xie
- Department of Cardiovascular Medicine, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China
| | - Ming Yang
- Department of Cardiovascular Medicine, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China
| | - Guotai Sheng
- Department of Cardiovascular Medicine, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China
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Low CG, Merchant M, Hung Y, Liu YH, Vu J, Pursnani S. Assessing Glycosylated Hemoglobin Thresholds for Development of Cardiovascular Disease by Racial and Ethnic Groups. J Am Heart Assoc 2024; 13:e033559. [PMID: 38761085 PMCID: PMC11179793 DOI: 10.1161/jaha.123.033559] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Accepted: 04/15/2024] [Indexed: 05/20/2024]
Abstract
BACKGROUND Diabetes is the strongest risk factor for cardiovascular disease, and although glycosylated hemoglobin (HbA1c) levels are known to vary by race, no racial and ethnic-specific diagnostic thresholds exist for diabetes in prediction of cardiovascular disease events. The purpose of this study is to determine whether HbA1c thresholds for predicting major adverse cardiovascular events (MACEs) differ among racial and ethnic groups. METHODS AND RESULTS This is a retrospective cohort study of Kaiser Permanente Northern California adult members (n=309 636) with no history of cardiovascular disease who had HbA1c values and race and ethnicity data available between 2014 and 2019. Multivariable logistic regression was used to evaluate the odds of MACEs by the following racial and ethnic groups: Filipino, South Asian, East Asian, Black, White, and Hispanic. A Youden index was used to calculate HbA1c thresholds for MACE prediction by each racial and ethnic group, stratified by sex. Among studied racial and ethnic groups, South Asian race was associated with the greatest odds of MACEs (1.641 [95% CI, 1.456-1.843]; P<0.0001). HbA1c was a positive predictor for MACEs, with an odds ratio of 1.024 (95% CI, 1.022-1.025) for each 0.1% increment increase in HbA1c. HbA1c values varied between 6.0% and 7.6% in MACE prediction by race and ethnicity and sex. White individuals, South Asian individuals, East Asian women, and Black men had HbA1c thresholds for MACE prediction in the prediabetic range, between 6.0% and 6.2%. Black women, Hispanic men, and East Asian men had HbA1c thresholds of 6.2% to 6.6%, less than the typical threshold of 7.0% that is used as a treatment goal. CONCLUSIONS Findings suggest that the use of race and ethnic- and sex-specific HbA1c thresholds may need to be considered in treatment goals and cardiovascular disease risk estimation.
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Affiliation(s)
| | | | - Yun‐Yi Hung
- Kaiser Permanente Division of ResearchOaklandCA
| | - Yu Hsin Liu
- Kaiser Permanente Medical CenterSanta ClaraCA
| | - Joseph Vu
- Kaiser Permanente Medical CenterSanta ClaraCA
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Klonoff DC, Aaron RE, Tian T, DuNova AY, Pandey A, Rhee C, Fleming GA, Sacks DB, Pop-Busui R, Kerr D. Advanced Glycation Endproducts: A Marker of Long-term Exposure to Glycemia. J Diabetes Sci Technol 2024:19322968241240436. [PMID: 38525944 DOI: 10.1177/19322968241240436] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/26/2024]
Abstract
This article examines the importance of advanced glycation endproducts (AGEs) and summarizes the structure of AGEs, pathological changes associated with AGEs, the contribution of AGEs to metabolic memory, and the value of AGEs as a predictor of diabetic complications and cardiovascular disease in people with and without diabetes. As a practical focus, skin autofluorescence (SAF) is examined as an attractive approach for estimating AGE burden. The measurement of AGEs may be of significant value to specific individuals and groups, including Black and Hispanic/Latino Americans, as they appear to have higher concentrations of hemoglobin A1c (HbA1c) than would be predicted by other metrics of mean glycemia. We hypothesize that if the amount of glycation of HbA1c is greater than expected from measured glucose levels, and if AGEs are accumulating, then this accumulation of AGEs might account for the increased rate of complications of diabetes in populations with high rates of vascular disease and other complications. Thus, identifying and modifying the burden of AGEs based on measurement of AGEs by SAF may turn out to be a worthwhile metric to determine individuals who are at high risk for the complications of diabetes as well as others without diabetes at risk of vascular disease. We conclude that available evidence supports SAF as both a clinical measurement and as a means of evaluating interventions aimed at reducing the risks of vascular disease and diabetic complications.
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Affiliation(s)
- David C Klonoff
- Diabetes Research Institute, Mills-Peninsula Medical Center, San Mateo, CA, USA
| | | | - Tiffany Tian
- Diabetes Technology Society, Burlingame, CA, USA
| | | | - Ambarish Pandey
- Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Connie Rhee
- VA Greater Los Angeles Healthcare System, UCLA, Los Angeles, CA, USA
| | | | | | | | - David Kerr
- Sutter Health Center for Health Systems Research, Santa Barbara, CA, USA
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11
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Borai A, Ichihara K, Bahijri S, Alsofyani A, Elsayid M, Husain H, Boraie S, Sannan N, Kalantan Z, Jan M, Gassas M, Harbi M, Alrowaili N, Almohammadi M, Zarif H, Qurashi M. Establishment of reference interval for hemoglobin A1C and other hemoglobin subfractions for healthy Saudi adults. PLoS One 2024; 19:e0300028. [PMID: 38527010 PMCID: PMC10962850 DOI: 10.1371/journal.pone.0300028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Accepted: 02/20/2024] [Indexed: 03/27/2024] Open
Abstract
BACKGROUND The establishment of Reference Intervals (RIs) for Hemoglobin A1C and other hemoglobin subfractions (A1A, A1B, F, LA1C, A0) is of utmost importance in screening, diagnosing, and monitoring diabetes and other hemoglobin abnormalities through the application of high-pressure liquid chromatography (HPLC) technique. Because there are no locally established RIs for these parameters, it is essential to establish RIs specific to the Saudi population to accurately diagnose and monitor diabetic individuals and identify abnormal levels in hemoglobin subfractions. METHODS As part of the IFCC global multicenter study of laboratory reference values, a cross-sectional study was conducted in Saudi Arabia. The study involved recruiting a total of 381 healthy adult subjects (>18 years, BMI 28.3 ± 6 kg/m2). Blood samples were analyzed for A1C, biochemical and other immunoassay parameters. The need for RIs based on sex, age, and BMI was determined using the standard deviation ratio (SDR) through a 3-level nested ANOVA. RESULTS Based on the threshold of SDR≥0.4, RIs for A1C and other Hb subfractions were not partitioned by sex or BMI, but partitioned by age (<45 & ≥45 years) for A1C, LA1C, A0 and F. Spearman's correlation between glucose, insulin, and C-peptide showed a positive association with different hemoglobin subtractions of A1B, F, A1C, and LA1C. The RIs were obtained by using the parametric method and the latent abnormal values exclusion (LAVE) principle was applied on A1C. CONCLUSION This study established RIs for A1C and other Hb subfractions for healthy adult Saudis. Age was found to be an important source of variation for most of the parameters including A1C. These findings will enhance the understanding and clinical decision-making concerning A1C and other hemoglobin subfractions. The elevated upper limit of RIs for A1C reflects the high prevalence of diabetes in the Saudi population specially in those with increased age.
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Affiliation(s)
- Anwar Borai
- King Abdullah International Medical Research Center (KAIMRC), King Saud bin Abdulaziz University for Health Sciences (KSAU-HS), King Abdulaziz Medical City, Ministry of National Guard Health Affairs, Saudi Arabia
| | - Kiyoshi Ichihara
- Faculty of Health Sciences, Yamaguchi University Graduate School of Medicine, Ube, Japan
| | - Suhad Bahijri
- Department of Clinical Biochemistry–Faculty of Medicine- King Abdulaziz University, Jeddah, Saudi Arabia
| | - Abeer Alsofyani
- King Abdullah International Medical Research Center (KAIMRC), King Saud bin Abdulaziz University for Health Sciences (KSAU-HS), King Abdulaziz Medical City, Ministry of National Guard Health Affairs, Saudi Arabia
| | - Mohieldin Elsayid
- King Abdullah International Medical Research Center (KAIMRC), King Saud bin Abdulaziz University for Health Sciences (KSAU-HS), King Abdulaziz Medical City, Ministry of National Guard Health Affairs, Saudi Arabia
| | - Haitham Husain
- King Abdullah International Medical Research Center (KAIMRC), King Saud bin Abdulaziz University for Health Sciences (KSAU-HS), King Abdulaziz Medical City, Ministry of National Guard Health Affairs, Saudi Arabia
| | - Sultanah Boraie
- King Abdullah International Medical Research Center (KAIMRC), King Saud bin Abdulaziz University for Health Sciences (KSAU-HS), King Abdulaziz Medical City, Ministry of National Guard Health Affairs, Saudi Arabia
| | - Naif Sannan
- King Abdullah International Medical Research Center (KAIMRC), King Saud bin Abdulaziz University for Health Sciences (KSAU-HS), King Abdulaziz Medical City, Ministry of National Guard Health Affairs, Saudi Arabia
| | - Ziad Kalantan
- King Abdullah International Medical Research Center (KAIMRC), King Saud bin Abdulaziz University for Health Sciences (KSAU-HS), King Abdulaziz Medical City, Ministry of National Guard Health Affairs, Saudi Arabia
| | - Majdi Jan
- King Abdullah International Medical Research Center (KAIMRC), King Saud bin Abdulaziz University for Health Sciences (KSAU-HS), King Abdulaziz Medical City, Ministry of National Guard Health Affairs, Saudi Arabia
| | - Maha Gassas
- King Abdullah International Medical Research Center (KAIMRC), King Saud bin Abdulaziz University for Health Sciences (KSAU-HS), King Abdulaziz Medical City, Ministry of National Guard Health Affairs, Saudi Arabia
| | - Mohammed Harbi
- King Abdullah International Medical Research Center (KAIMRC), King Saud bin Abdulaziz University for Health Sciences (KSAU-HS), King Abdulaziz Medical City, Ministry of National Guard Health Affairs, Saudi Arabia
| | | | - Mohammed Almohammadi
- King Abdullah International Medical Research Center (KAIMRC), King Saud bin Abdulaziz University for Health Sciences (KSAU-HS), King Abdulaziz Medical City, Ministry of National Guard Health Affairs, Saudi Arabia
| | - Hawazen Zarif
- King Abdullah International Medical Research Center (KAIMRC), King Saud bin Abdulaziz University for Health Sciences (KSAU-HS), King Abdulaziz Medical City, Ministry of National Guard Health Affairs, Saudi Arabia
| | - Mansour Qurashi
- King Abdullah International Medical Research Center (KAIMRC), King Saud bin Abdulaziz University for Health Sciences (KSAU-HS), King Abdulaziz Medical City, Ministry of National Guard Health Affairs, Saudi Arabia
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12
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Gómez AM, Henao C DC, Rebolledo M, Jaramillo P PE, Muñoz V OM, Niño G LM, Yepes C CA. Determination of Time in Range Associated With HbA1c ≤7% in a Prospective Cohort of Patients With Type 1 Diabetes Using Continuous Glucose Monitoring for Three Months. J Diabetes Sci Technol 2024; 18:345-350. [PMID: 35791440 PMCID: PMC10973842 DOI: 10.1177/19322968221108424] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
INTRODUCTION Finding a goal of time in range (%TIR) that defines good glycemic control is necessary. Previous retrospective studies suggest good concordance between HbA1c ≤7% with a TIR >70%; however, the studies that included the largest number of patients used blood glucose measurement data with a follow-up time of less than 90 days. This study defined the TIR value that best discriminates HbA1c ≤7%. METHODS We performed a prospective study of diagnostic tests based on a cohort of patients with type 1 diabetes (T1D) treated with a hybrid closed loop (HCL) followed for three months. The ability of %TIR to distinguish patients with HbA1c ≤7% was evaluated through receiver operating characteristic curve analysis. We determined the %TIR cutoff point with the best operating characteristics. RESULTS A total of 118 patients were included (58.1% women, 47% overweight or obese, and 33% with high glycemic variability). A moderate negative correlation (R = -.54, P < .001) was found between %TIR and HbA1c. The discrimination ability was moderate, with an area under the curve of 0.7485 (95% confidence interval = 0.6608-0.8363). The cutoff point that best predicted HbA1c ≤7% was %TIR ≥75.5 (sensitivity 70%, specificity 67%). The findings were similar among those with a coefficient of variation (CV%) ≥36%. CONCLUSIONS Our data suggest that the %TIR adequately identifies patients with HbA1c ≤7%. A target of TIR ≥75%, rather than the currently recommended TIR ≥70%, may be a more suitable value for optimal glycemic control.
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Affiliation(s)
- Ana María Gómez
- Endocrinology Unit, Hospital Universitario San Ignacio, Pontificia Universidad Javeriana, Bogotá, Colombia
| | - Diana Cristina Henao C
- Endocrinology Unit, Hospital Universitario San Ignacio, Pontificia Universidad Javeriana, Bogotá, Colombia
| | - Martín Rebolledo
- Department of Internal Medicine, Hospital Universitario San Ignacio, Pontificia Universidad Javeriana, Bogotá, Colombia
| | - Pablo Esteban Jaramillo P
- Endocrinology Unit, Hospital Universitario San Ignacio, Pontificia Universidad Javeriana, Bogotá, Colombia
| | - Oscar Mauricio Muñoz V
- Department of Internal Medicine, Hospital Universitario San Ignacio, Pontificia Universidad Javeriana, Bogotá, Colombia
| | | | - Carlos Augusto Yepes C
- Endocrinology Unit, Hospital Universitario San Ignacio, Pontificia Universidad Javeriana, Bogotá, Colombia
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Craig KJT, Zaleski AL, MacKenzie SM, Butler BL, Youngerman RA, McNutt SL, Baquet-Simpson AM. Pharmacoinformatics-enabled Interventions Improved Care Coordination and Identified Pharmacy-Related Safety Issues in a Multicultural Medicare Population. Appl Clin Inform 2024; 15:320-326. [PMID: 38560989 DOI: 10.1055/a-2297-4334] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/04/2024] Open
Abstract
BACKGROUND Compared to White populations, multicultural older adults experience more gaps in preventive care (e.g., vaccinations, screenings, chronic condition monitoring), social determinants of health barriers (e.g., access to care, language, transportation), and disparities and inequities (e.g., comorbidities, disease burden, and health care costs). OBJECTIVES This study aims to describe an informatics-based approach used to execute and evaluate results of a member-centric, pharmacoinformatics-informed engagement program to deliver culturally tailored microinterventions to close medication-related gaps in care utilizing multidisciplinary care coordination that leverages the expanded role of the pharmacist. The operational framework will be described, and the influence of the medication use processes will be reported in a multicultural Medicare Advantage cohort. METHODS A pharmacoinformatics framework was leveraged to conduct a retrospective, observational cohort analysis of the program. Claims data were used to evaluate the influence of medication use process microinterventions from a large Medicare Advantage cohort of members who self-identify as Black and/or Hispanic, and have type 2 diabetes mellitus and/or hypertension, and meet eligibility criteria for multidisciplinary (e.g., nursing and pharmacy) care management (CM) and received pharmacy referral from January 1, 2022, through September 30, 2023. RESULTS A total of 3,265 Medicare Advantage members (78.3% Black and 21.7% Hispanic) received CM and pharmacy referral. Pharmacovigilance reviews conducted during this timeframe identified 258 acute events that escalated member CM. Provider outreach (n = 185) informed of safety issues (drug duplication, n = 48; drug interactions, n = 21; drug-disease interactions, n = 5; noncompliance and/or dosing issues, n = 27). Outreach to members (n = 160) and providers (n = 164) informed of open quality-related measure gaps for medication adherence. CONCLUSION The application of pharmacoinformatics by a payor-led multicultural clinical program demonstrated quality improvements in Medicare Advantage member identification including risk stratification, timely outreach for pharmacy-related safety issues, and improved efficiency of multidisciplinary care coordination involving medication use process workflows.
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Affiliation(s)
- Kelly J T Craig
- Clinical Evidence Development, Aetna® Medical Affairs, CVS Health®, Hartford, Connecticut, United States
| | - Amanda L Zaleski
- Clinical Evidence Development, Aetna® Medical Affairs, CVS Health®, Hartford, Connecticut, United States
| | - Shannon M MacKenzie
- Aetna Medicare Strategic Programs, CVS Health, New York, New York, United States
| | - Brenda L Butler
- Aetna Medicare Clinical Pharmacy, CVS Health, Hartford, Connecticut, United States
| | - Rebecca A Youngerman
- Aetna Clinical Analytics & Behavior Change, CVS Health, New York, New York, United States
| | - Sherrie L McNutt
- Aetna Medicare Clinical Services, CVS Health, Hartford, Connecticut, United States
| | - Alena M Baquet-Simpson
- Clinical Evidence Development, Aetna® Medical Affairs, CVS Health®, Hartford, Connecticut, United States
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14
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Akhter A, Alouffi S, Shahab U, Akasha R, Fazal-Ur-Rehman M, Ghoniem ME, Ahmad N, Kaur K, Pandey RP, Alshammari A, Akhter F, Ahmad S. Vitamin D supplementation modulates glycated hemoglobin (HBA1c) in diabetes mellitus. Arch Biochem Biophys 2024; 753:109911. [PMID: 38280562 DOI: 10.1016/j.abb.2024.109911] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2023] [Revised: 01/20/2024] [Accepted: 01/23/2024] [Indexed: 01/29/2024]
Abstract
Diabetes is a metabolic illness that increases protein glycosylation in hyperglycemic conditions, which can have an impact on almost every organ system in the body. The role of vitamin D in the etiology of diabetes under RAGE (receptor for advanced glycation end products) stress has recently received some attention on a global scale. Vitamin D's other skeletal benefits have generated a great deal of research. Vitamin D's function in the development of type 1 and type 2 diabetes is supported by the discovery of 1,25 (OH)2D3 and 1-Alpha-Hydroylase expression in immune cells, pancreatic beta cells, and several other organs besides the bone system. A lower HBA1c level, metabolic syndrome, and diabetes mellitus all seems to be associated with vitamin D insufficiency. Most of the cross-sectional and prospective observational studies that were used to gather human evidence revealed an inverse relationship between vitamin D level and the prevalence or incidence of elevated HBA1c in type 2 diabetes. Several trials have reported on the impact of vitamin D supplementation for glycemia or incidence of type 2 diabetes, with varying degrees of success. The current paper examines the available data for a relationship between vitamin D supplementation and HBA1c level in diabetes and discusses the biological plausibility of such a relationship.
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Affiliation(s)
- Asma Akhter
- Department of Biomedical Engineering, Stony Brook University, Stony Brook, NY, 11790, United States.
| | - Sultan Alouffi
- Department of Medical Laboratory Sciences, College of Applied Medical Sciences, University of Hail, 2440, Saudi Arabia.
| | - Uzma Shahab
- Department of Biochemistry, King George Medical University, Lucknow, U.P., India.
| | - Rihab Akasha
- Department of Medical Laboratory Sciences, College of Applied Medical Sciences, University of Hail, 2440, Saudi Arabia.
| | | | - Mohamed E Ghoniem
- Department of Internal Medicine, College of Medicine, University of Hail, 2440, Saudi Arabia; Department of Internal Medicine, Faculty of Medicine, Zagazig University, Zagazig, 44519, Egypt.
| | - Naved Ahmad
- Department of Computer Science and Information System, College of Applied Sciences, AlMaarefa University, P.O.Box 71666, Riyadh, 13713, Saudi Arabia.
| | - Kirtanjot Kaur
- University Centre for Research and Development, Chandigarh University, Mohali, Punjab, India.
| | - Ramendra Pati Pandey
- School of Health Sciences and Technology (SOHST), UPES, Dehradun, 248007, Uttarakhand, India.
| | - Ahmed Alshammari
- Department of Internal Medicine, College of Medicine, University of Hail, Saudi Arabia.
| | - Firoz Akhter
- Department of Biomedical Engineering, Stony Brook University, Stony Brook, NY, 11790, United States.
| | - Saheem Ahmad
- Department of Medical Laboratory Sciences, College of Applied Medical Sciences, University of Hail, 2440, Saudi Arabia.
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15
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LeBlanc ES, Pittas AG, Nelson J, Chatterjee R, Rasouli N, Rhee MK, Pratley RE, Desouza CV, Neff LM, Peters AM, Dagogo-Jack S, Hsia DS. Racial differences in measures of glycemia in the Vitamin D and Type 2 Diabetes (D2d) Study: a secondary analysis of a randomized trial. BMJ Open Diabetes Res Care 2024; 12:e003613. [PMID: 38350671 PMCID: PMC10862329 DOI: 10.1136/bmjdrc-2023-003613] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Accepted: 01/12/2024] [Indexed: 02/15/2024] Open
Abstract
INTRODUCTION Understanding how race may influence the association between A1c and glycemia can improve diabetes screening. We sought to determine whether, for a given A1c level, glucose levels during an oral glucose tolerance test (OGTT) differed by race. RESEARCH DESIGN AND METHODS From data collected at 22 US clinical sites, we conducted a cross-sectional study of concurrently measured A1c and OGTT and observational longitudinal follow-up of the subset with high-risk pre-diabetes. Numerical integration methods were used to calculate area under the glycemic curve (AUCglu) during OGTT and least squares regression model to estimate A1c for a given AUCglu by race, controlling for potential confounders. RESULTS 1016 black, 2658 white, and 193 Asian persons at risk of diabetes were included in cross-sectional analysis. Of these, 2154 with high-risk pre-diabetes were followed for 2.5 years. For a given A1c level, AUCglu was lower in black versus white participants. After adjustment for potential confounders, A1c levels for a given AUCglu quintile were 0.15-0.20 and 0.02-0.19 percentage points higher in black and Asian compared with white participants, respectively (p<0.05). In longitudinal analyses, black participants were more likely to be diagnosed with diabetes by A1c than white participants (28% vs 10%, respectively; p<0.01). Black and Asian participants were less likely to be diagnosed by fasting glucose than white participants (16% vs 15% vs 37%, respectively; p<0.05). Black participants with A1c levels in the lower-level quintiles had greater increase in A1c over time compared with white participants. CONCLUSIONS Use of additional testing beyond A1c to screen for diabetes may better stratify diabetes risk in the diverse US population.
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Affiliation(s)
- Erin S LeBlanc
- Kaiser Permanente Center for Health Research, Portland, Oregon, USA
| | - Anastassios G Pittas
- Division of Endocrinology, Diabetes and Metabolism, Tufts Medical Center, Boston, Massachusetts, USA
| | - Jason Nelson
- Tufts Medical Center, Boston, Massachusetts, USA
| | | | - Neda Rasouli
- Endocrinology, Metabolism and Diabetes, University of Colorado Denver School of Medicine, Aurora, Colorado, USA
- Endocrinology, VA Eastern Colorado Health Care System, Denver, Colorado, USA
| | - Mary K Rhee
- Medicine/Endocrinology, Metabolism, and Lipids, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Richard E Pratley
- Translational Research Institute, AdventHealth Research Institute, Orlando, Florida, USA
| | | | - Lisa M Neff
- Northwestern Medicine, Chicago, Illinois, USA
| | - Anne M Peters
- Endocrinology, USC, Manhattan Beach, California, USA
| | - Samuel Dagogo-Jack
- Division of Endocrinology, Diabetes & Metabolism General Clinical Research Center, University of Tennessee Health Science Center, Memphis, Tennessee, USA
| | - Daniel S Hsia
- Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA
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16
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ElSayed NA, Aleppo G, Bannuru RR, Bruemmer D, Collins BS, Ekhlaspour L, Gaglia JL, Hilliard ME, Johnson EL, Khunti K, Lingvay I, Matfin G, McCoy RG, Perry ML, Pilla SJ, Polsky S, Prahalad P, Pratley RE, Segal AR, Seley JJ, Selvin E, Stanton RC, Gabbay RA. 2. Diagnosis and Classification of Diabetes: Standards of Care in Diabetes-2024. Diabetes Care 2024; 47:S20-S42. [PMID: 38078589 PMCID: PMC10725812 DOI: 10.2337/dc24-s002] [Citation(s) in RCA: 54] [Impact Index Per Article: 54.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Abstract
The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, an interprofessional expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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17
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ElSayed NA, Aleppo G, Bannuru RR, Bruemmer D, Collins BS, Ekhlaspour L, Hilliard ME, Johnson EL, Khunti K, Lingvay I, Matfin G, McCoy RG, Perry ML, Pilla SJ, Polsky S, Prahalad P, Pratley RE, Segal AR, Seley JJ, Selvin E, Stanton RC, Gabbay RA. 6. Glycemic Goals and Hypoglycemia: Standards of Care in Diabetes-2024. Diabetes Care 2024; 47:S111-S125. [PMID: 38078586 PMCID: PMC10725808 DOI: 10.2337/dc24-s006] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Abstract
The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, an interprofessional expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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18
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Rosen RH, Epee-Bounya A, Curran D, Chung S, Hoffmann R, Lee LK, Marcus C, Mateo CM, Miller JE, Nereim C, Silberholz E, Shah SN, Theodoris CV, Wardell H, Winn AS, Toomey S, Finkelstein JA, Ward VL, Starmer A. Race, Ethnicity, and Ancestry in Clinical Pathways: A Framework for Evaluation. Pediatrics 2023; 152:e2022060730. [PMID: 37974460 DOI: 10.1542/peds.2022-060730] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 09/06/2023] [Indexed: 11/19/2023] Open
Abstract
Clinical algorithms, or "pathways," promote the delivery of medical care that is consistent and equitable. Race, ethnicity, and/or ancestry terms are sometimes included in these types of guidelines, but it is unclear if this is appropriate for clinical decision-making. At our institution, we developed and applied a structured framework to determine whether race, ethnicity, or ancestry terms identified in our clinical pathways library should be retained, modified, or removed. First, we reviewed all text and associated reference documents for 132 institutionally-developed clinical pathways and identified 8 pathways that included race, ethnicity, or ancestry terms. Five pathways had clear evidence or a change in institutional policy that supported removal of the term. Multispecialty teams conducted additional in-depth evaluation of the 3 remaining pathways (Acute Viral Illness, Hyperbilirubinemia, and Weight Management) by applying the framework. In total, based on these reviews, race, ethnicity, or ancestry terms were removed (n = 6) or modified (n = 2) in all 8 pathways. Application of the framework established several recommended practices, including: (1) define race, ethnicity, and ancestry rigorously; (2) assess the most likely mechanisms underlying epidemiologic associations; (3) consider whether inclusion of the term is likely to mitigate or exacerbate existing inequities; and (4) exercise caution when applying population-level data to individual patient encounters. This process and framework may be useful to other institutional programs and national organizations in evaluating the inclusion of race, ethnicity, and ancestry in clinical guidelines.
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Affiliation(s)
- Robert H Rosen
- Boston Children's Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Alexandra Epee-Bounya
- Boston Children's Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Dorothy Curran
- Boston Children's Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Sarita Chung
- Boston Children's Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Robert Hoffmann
- Boston Children's Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Lois K Lee
- Boston Children's Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Carolyn Marcus
- Boston Children's Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Camila M Mateo
- Boston Children's Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | | | - Cameron Nereim
- Boston Children's Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
- University of South Florida Morsani College of Medicine, Tampa, Florida
| | - Elizabeth Silberholz
- Boston Children's Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Snehal N Shah
- Boston Children's Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Christina V Theodoris
- Boston Children's Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Hanna Wardell
- Boston Children's Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Ariel S Winn
- Boston Children's Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Sara Toomey
- Boston Children's Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | | | - Valerie L Ward
- Boston Children's Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Amy Starmer
- Boston Children's Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
- Baystate Children's Hospital, Springfield, Massachusetts
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19
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Karter AJ, Parker MM, Moffet HH, Gilliam LK. Racial and Ethnic Differences in the Association Between Mean Glucose and Hemoglobin A1c. Diabetes Technol Ther 2023; 25:697-704. [PMID: 37535058 PMCID: PMC10611955 DOI: 10.1089/dia.2023.0153] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/04/2023]
Abstract
Background: Studies have reported significantly higher hemoglobin A1c (A1C) in African American patients than in White patients with the same mean glucose, but less is known about other racial/ethnic groups. We evaluated racial/ethnic differences in the association between mean glucose, based on continuous glucose monitor (CGM) data, and A1C. Methods: Retrospective study among 1788 patients with diabetes from Kaiser Permanente Northern California (KPNC) who used CGM devices during 2016 to 2021. In this study population, there were 5264 A1C results; mean glucose was calculated from 124,388,901 CGM readings captured during the 90 days before each A1C result. Hierarchical mixed models were specified to estimate racial/ethnic differences in the association between mean glucose and A1C. Results: Mean A1C was 0.33 (95% confidence interval: 0.23-0.44; P < 0.0001) percentage points higher among African American patients relative to White patients for a given mean glucose. A1C results for Asians, Latinos, and multiethnic patients were not significantly different from those of White patients. The slope of the association between mean glucose and A1C did not differ significantly across racial/ethnic groups. Variance for the association between mean glucose and A1C was substantially greater within groups than between racial/ethnic groups (65% vs. 9%, respectively). Conclusions: For African American patients, A1C results may overestimate glycemia and could lead to premature diabetes diagnoses, overtreatment, or invalid assessments of health disparities. However, most of the variability in the mean glucose-A1C association was within racial/ethnic groups. Treatment decisions driven by guideline-based A1C targets should be individualized and supported by direct measurement of glycemia.
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Affiliation(s)
- Andrew J. Karter
- Kaiser Permanente—Division of Research, Oakland, California, USA
- Department of General Internal Medicine, University of California, San Francisco, California, USA
- Department of Health Systems and Population Health, University of Washington, Seattle, Washington, USA
| | | | - Howard H. Moffet
- Kaiser Permanente—Division of Research, Oakland, California, USA
| | - Lisa K. Gilliam
- Kaiser Northern California Diabetes Program, Endocrinology and Internal Medicine, Kaiser Permanente, South San Francisco Medical Center, South San Francisco, California, USA
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Sacks DB, Arnold M, Bakris GL, Bruns DE, Horvath AR, Lernmark Å, Metzger BE, Nathan DM, Kirkman MS. Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus. Diabetes Care 2023; 46:e151-e199. [PMID: 37471273 PMCID: PMC10516260 DOI: 10.2337/dci23-0036] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Accepted: 05/11/2023] [Indexed: 07/22/2023]
Abstract
BACKGROUND Numerous laboratory tests are used in the diagnosis and management of diabetes mellitus. The quality of the scientific evidence supporting the use of these assays varies substantially. APPROACH An expert committee compiled evidence-based recommendations for laboratory analysis in screening, diagnosis, or monitoring of diabetes. The overall quality of the evidence and the strength of the recommendations were evaluated. The draft consensus recommendations were evaluated by invited reviewers and presented for public comment. Suggestions were incorporated as deemed appropriate by the authors (see Acknowledgments). The guidelines were reviewed by the Evidence Based Laboratory Medicine Committee and the Board of Directors of the American Association for Clinical Chemistry and by the Professional Practice Committee of the American Diabetes Association. CONTENT Diabetes can be diagnosed by demonstrating increased concentrations of glucose in venous plasma or increased hemoglobin A1c (HbA1c) in the blood. Glycemic control is monitored by the people with diabetes measuring their own blood glucose with meters and/or with continuous interstitial glucose monitoring (CGM) devices and also by laboratory analysis of HbA1c. The potential roles of noninvasive glucose monitoring, genetic testing, and measurement of ketones, autoantibodies, urine albumin, insulin, proinsulin, and C-peptide are addressed. SUMMARY The guidelines provide specific recommendations based on published data or derived from expert consensus. Several analytes are found to have minimal clinical value at the present time, and measurement of them is not recommended.
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Affiliation(s)
- David B. Sacks
- Department of Laboratory Medicine, National Institutes of Health, Bethesda, MD
| | - Mark Arnold
- Department of Chemistry, University of Iowa, Iowa City, IA
| | - George L. Bakris
- Department of Medicine, American Heart Association Comprehensive Hypertension Center, Section of Endocrinology, Diabetes and Metabolism, University of Chicago Medicine, Chicago, IL
| | - David E. Bruns
- Department of Pathology, University of Virginia Medical School, Charlottesville, VA
| | - Andrea R. Horvath
- New South Wales Health Pathology Department of Chemical Pathology, Prince of Wales Hospital, Sydney, New South Wales, Australia
| | - Åke Lernmark
- Department of Clinical Sciences, Lund University/CRC, Skane University Hospital Malmö, Malmö, Sweden
| | - Boyd E. Metzger
- Division of Endocrinology, Northwestern University, The Feinberg School of Medicine, Chicago, IL
| | - David M. Nathan
- Massachusetts General Hospital Diabetes Center and Harvard Medical School, Boston, MA
| | - M. Sue Kirkman
- Department of Medicine, University of North Carolina, Chapel Hill, NC
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21
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Treister-Goltzman Y, Liberty IF, Peleg R. Ethnicity Affects A1C Levels in Patients With Diagnosed Type 2 Diabetes in Southern Israel. Diabetes Spectr 2023; 37:86-94. [PMID: 38385090 PMCID: PMC10877214 DOI: 10.2337/ds23-0009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/23/2024]
Abstract
Purpose To assess whether ethnicity affects the association between A1C and fasting glucose in people with type 2 diabetes. Methods This investigation was an epidemiological, cross-sectional study based on computerized medical records of the Southern District of Clalit Health Services. The study population comprised patients ≥40 years of age with type 2 diabetes who underwent blood tests between 8 August 2015 and 20 July 2020. A normal-error multiple linear regression model was used to assess differences in associations among ethnic groups (i.e., Arabs, Ethiopian Jews, and non-Ethiopian Jews) and A1C. Results A total of 59,432 patients with type 2 diabetes were included in the study. Of these, 1,804 were Jews of Ethiopian origin, 49,296 were non-Ethiopian Jews, and 8,332 were Arabs. Compared with non-Ethiopian Jews, A1C levels were increased by 0.1% (1 mmol/mol) among Ethiopian Jews and by 0.3% (3 mmol/mol) among Arabs. Ethnicity was a strong predictor of A1C, explaining 0.6% of its variance. An A1C level of 7% (53 mmol/mol) correlated with fasting glucose levels of 141, 136, and 126 mg/dL in non-Ethiopian Jews, Ethiopian Jews, and Arabs, respectively. Conclusion Ethnic differences in A1C should be considered by clinicians, researchers, and policymakers.
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Affiliation(s)
- Yulia Treister-Goltzman
- Department of Family Medicine and Siaal Research Center for Family Practice and Primary Care, Haim Doron Division of Community Health, Ben-Gurion University of the Negev, Beer-Sheva, Israel
- Clalit Health Services, Southern District, Israel
- Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel
| | - Idit F. Liberty
- Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel
- Diabetes Clinic, Soroka University Medical Center, Beer-Sheva, Israel
| | - Roni Peleg
- Department of Family Medicine and Siaal Research Center for Family Practice and Primary Care, Haim Doron Division of Community Health, Ben-Gurion University of the Negev, Beer-Sheva, Israel
- Clalit Health Services, Southern District, Israel
- Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel
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22
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McDonough C, Li YC, Vangeepuram N, Liu B, Pandey G. Facilitating youth diabetes studies with the most comprehensive epidemiological dataset available through a public web portal. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.08.02.23293517. [PMID: 37577465 PMCID: PMC10418570 DOI: 10.1101/2023.08.02.23293517] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/15/2023]
Abstract
The prevalence of type 2 diabetes mellitus (DM) and prediabetes (preDM) is rapidly increasing among youth, posing significant health and economic consequences. To address this growing concern, we created the most comprehensive youth-focused diabetes dataset to date derived from National Health and Nutrition Examination Survey (NHANES) data from 1999 to 2018. The dataset, consisting of 15,149 youth aged 12 to 19 years, encompasses preDM/DM relevant variables from sociodemographic, health status, diet, and other lifestyle behavior domains. An interactive web portal, POND (Prediabetes/diabetes in youth ONline Dashboard), was developed to provide public access to the dataset, allowing users to explore variables potentially associated with youth preDM/DM. Leveraging statistical and machine learning methods, we conducted two case studies, revealing established and lesser-known variables linked to youth preDM/DM. This dataset and portal can facilitate future studies to inform prevention and management strategies for youth prediabetes and diabetes.
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Affiliation(s)
- Catherine McDonough
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Yan Chak Li
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Nita Vangeepuram
- Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Bian Liu
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Gaurav Pandey
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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23
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Sacks DB, Arnold M, Bakris GL, Bruns DE, Horvath AR, Lernmark Å, Metzger BE, Nathan DM, Kirkman MS. Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus. Clin Chem 2023:hvad080. [PMID: 37473453 DOI: 10.1093/clinchem/hvad080] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Accepted: 05/12/2023] [Indexed: 07/22/2023]
Abstract
BACKGROUND Numerous laboratory tests are used in the diagnosis and management of diabetes mellitus. The quality of the scientific evidence supporting the use of these assays varies substantially. APPROACH An expert committee compiled evidence-based recommendations for laboratory analysis in screening, diagnosis, or monitoring of diabetes. The overall quality of the evidence and the strength of the recommendations were evaluated. The draft consensus recommendations were evaluated by invited reviewers and presented for public comment. Suggestions were incorporated as deemed appropriate by the authors (see Acknowledgments). The guidelines were reviewed by the Evidence Based Laboratory Medicine Committee and the Board of Directors of the American Association of Clinical Chemistry and by the Professional Practice Committee of the American Diabetes Association. CONTENT Diabetes can be diagnosed by demonstrating increased concentrations of glucose in venous plasma or increased hemoglobin A1c (Hb A1c) in the blood. Glycemic control is monitored by the people with diabetes measuring their own blood glucose with meters and/or with continuous interstitial glucose monitoring (CGM) devices and also by laboratory analysis of Hb A1c. The potential roles of noninvasive glucose monitoring, genetic testing, and measurement of ketones, autoantibodies, urine albumin, insulin, proinsulin, and C-peptide are addressed. SUMMARY The guidelines provide specific recommendations based on published data or derived from expert consensus. Several analytes are found to have minimal clinical value at the present time, and measurement of them is not recommended.
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Affiliation(s)
- David B Sacks
- Department of Laboratory Medicine, National Institutes of Health, Bethesda, MD, United States
| | - Mark Arnold
- Department of Chemistry, University of Iowa, Iowa City, IA, United States
| | - George L Bakris
- Department of Medicine, American Heart Association Comprehensive Hypertension Center, Section of Endocrinology, Diabetes and Metabolism, University of Chicago Medicine, Chicago, ILUnited States
| | - David E Bruns
- Department of Pathology, University of Virginia Medical School, Charlottesville, VA, United States
| | - Andrea R Horvath
- New South Wales Health Pathology Department of Chemical Pathology, Prince of Wales Hospital, Sydney, NSW, Australia
| | - Åke Lernmark
- Department of Clinical Sciences, Lund University/CRC, Skane University Hospital Malmö, Malmö, Sweden
| | - Boyd E Metzger
- Division of Endocrinology, Northwestern University, The Feinberg School of Medicine, Chicago, IL, United States
| | - David M Nathan
- Massachusetts General Hospital Diabetes Center and Harvard Medical School, Boston, MA, United States
| | - M Sue Kirkman
- Department of Medicine, University of North Carolina, Chapel Hill, NC, United States
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Ajayi IO, Balogun WO, Olopade OB, Ajani GO, Soyoye DO, Bolarinwa OA, Olamoyegun MA, Alatishe-Muhammad BW, Odeniyi IA, Odukoya O, Fasanmade OA, Diyaolu FP, Otrofanowei E, Akase I, Agabi PO, Adejimi A, Ajetunmobi OA, Durowade KA, Gabriel-Alayode EO, Ibrahim AO, Ezekpo OO, Elegbede TO, Lamidi AO, Owolabi FA, Yusuf AO, Adetunji TA, Ogunmodede AJ, Ameen AH, Biliaminu AS, Nasiru S. Prevalence of haemoglobin A1c based dysglycaemia among adult community dwellers in selected states in Nigeria: a descriptive cross-sectional study. Front Endocrinol (Lausanne) 2023; 14:1192491. [PMID: 37547317 PMCID: PMC10399573 DOI: 10.3389/fendo.2023.1192491] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Accepted: 06/14/2023] [Indexed: 08/08/2023] Open
Abstract
Background Type 2 diabetes mellitus (T2DM) is a disease of public health importance globally with an increasing burden of undiagnosed pre-diabetes and diabetes in low- and middle-income countries, Nigeria in particular. Pre-diabetes and diabetes are established risk factors for cardiovascular complications. However, data are scanty on the current prevalence of these conditions in Nigeria, based on haemoglobin A1c (HbA1c) diagnosis as recommended by the WHO in 2009. We aimed to determine the prevalence of pre-diabetes, diabetes, and undiagnosed diabetes among the adult population of Nigeria using HbA1c. Methodology A cross-sectional, multi-site population study was carried out in selected states in Nigeria (namely, Ekiti, Lagos, Osun, Oyo, and Kwara states) involving 2,708 adults (≥18 years) in rural and urban community dwellers, without prior diagnosis of pre-diabetes or diabetes. Participants with ongoing acute or debilitating illnesses were excluded. Data were collected using an interviewer-administered pretested, semi-structured questionnaire. Socio-demographic, clinical (weight, height, blood pressure, etc.), and laboratory characteristics of participants including HbA1c were obtained. Data were analysed using STATA version 16. Results The mean age of participants was 48.1 ± 15.8 years, and 65.5% were female. The overall prevalence of pre-diabetes and undiagnosed diabetes was 40.5% and 10.7%, respectively, while the prevalence of high blood pressure was 36.7%. The prevalence of pre-diabetes was the highest in Lagos (48.1%) and the lowest in Ekiti (36.7%), while the prevalence of diabetes was the highest in Kwara (14.2%) and the lowest in Ekiti (10%). There was a significant association between age of the participants (p< 0.001), gender (p = 0.009), educational status (p = 0.008), occupation (p< 0.001), tribe (p = 0.004), marital status (p< 0.001), blood pressure (p< 0.001), and their diabetic or pre-diabetic status. Independent predictors of diabetes and pre-diabetes include excess weight gain, sedentary living, and ageing. Participants within the age group 45-54 years had the highest total prevalence (26.6%) of pre-diabetes and diabetes. Conclusion Over half of the respondents had pre-diabetes and diabetes, with a high prevalence of undiagnosed diabetes. A nationwide screening campaign will promote early detection of pre-diabetes and undiagnosed diabetes among adult Nigerians. Health education campaigns could be an effective tool in community settings to improve knowledge of the risk factors for diabetes to reduce the prevalence of dysglycaemia.
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Affiliation(s)
| | - William O. Balogun
- College of Medicine, University of Ibadan, Ibadan, Nigeria
- Department of Medicine, University College Hospital Ibadan, Ibadan, Nigeria
| | | | - Gbadebo O. Ajani
- College of Medicine and Health Sciences, Afe Babalola University, Ekiti, Nigeria
| | - David O. Soyoye
- College of Health Sciences, Obafemi Awolowo University, Ile-Ife, Nigeria
| | | | - Michael A. Olamoyegun
- Department of Medicine, Ladoke Akintola University of Technology, Ogbomosho, Nigeria
| | | | | | | | | | | | | | - Iorhen Akase
- College of Medicine, University of Lagos, Lagos, Nigeria
| | - Paul O. Agabi
- College of Medicine, University of Lagos, Lagos, Nigeria
| | | | | | - Kabir A. Durowade
- College of Medicine and Health Sciences, Afe Babalola University, Ekiti, Nigeria
| | | | - Azeez O. Ibrahim
- Department of Medicine, Federal Teaching Hospital Ido-Ekiti, Ido-Ekiti, Nigeria
| | - Okechukwu O. Ezekpo
- College of Medicine and Health Sciences, Afe Babalola University, Ekiti, Nigeria
| | - Toyin O. Elegbede
- College of Medicine and Health Sciences, Afe Babalola University, Ekiti, Nigeria
| | - Ayodeji O. Lamidi
- College of Health Sciences, Obafemi Awolowo University, Ile-Ife, Nigeria
| | | | - Adebimpe O. Yusuf
- College of Health Sciences, Obafemi Awolowo University, Ile-Ife, Nigeria
| | | | | | - Abolore H. Ameen
- College of Health Sciences, University of Ilorin, Ilorin, Nigeria
| | | | - Sanni Nasiru
- Department of Medicine, University of Ilorin Teaching Hospital, Ilorin, Nigeria
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Brown SA, Becker HA, García AA, Velasquez MM, Tanaka H, Winter MA, Perkison WB, Brown EL, Aguilar D, Hanis CL. The effects of gender and country of origin on acculturation, psychological factors, lifestyle factors, and diabetes-related physiological outcomes among Mexican Americans: The Starr County diabetes prevention initiative. Chronic Illn 2023; 19:444-457. [PMID: 35331025 PMCID: PMC9508285 DOI: 10.1177/17423953221089315] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
OBJECTIVES Examine acculturation and psychological, lifestyle, and physiological factors based on gender and country of origin (U.S. vs. Mexico). METHODS Baseline data from the Starr County diabetes prevention study (N = 300) were analyzed - acculturation (language), psychological factors (depression), lifestyle factors (sedentary behaviors), and diabetes-related physiological outcomes (insulin resistance). MANOVA and linear regression were used to examine variable relationships based on gender and country of origin and identify predictors of depression and insulin resistance. RESULTS Participants were: predominantly female (73%); 51 years of age, on average; born in Mexico (71%); and Spanish-speaking. Individuals spent 11 of their waking hours (range = 0-18 h) in sedentary activities. Compared to females, more males spoke English and reported fewer hours in sedentary activities. Compared to participants born in Mexico, those born in the U.S. were more likely to: speak English; report depressive symptoms; and exhibit elevated BMI and insulin resistance rates. Two distinct models significantly predicted depression (R2 = 14.5%) and insulin resistance (R2 = 26.8%), with acculturation-language entering into both models. DISCUSSION Significant gender and country-of-origin differences were found. Future research on diabetes prevention should examine other Hispanic subgroups and strategies for addressing individual differences, while employing cost-effective group interventions that incorporate these differences and reach more at-risk individuals.
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Affiliation(s)
- Sharon A Brown
- School of Nursing, 12330The University of Texas at Austin, Austin, TX, USA
| | - Heather A Becker
- School of Nursing, 12330The University of Texas at Austin, Austin, TX, USA
| | - Alexandra A García
- School of Nursing, 12330The University of Texas at Austin, Austin, TX, USA
| | - Mary M Velasquez
- 143057School of Social Work, The University of Texas at Austin, Austin, TX, USA
| | - Hirofumi Tanaka
- Department of Kinesiology & Health Education, College of Education, 12330The University of Texas at Austin, Austin, TX, USA
| | - Mary A Winter
- School of Nursing, 12330The University of Texas at Austin, Austin, TX, USA
| | - William B Perkison
- 49219School of Public Health, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA
| | - Eric L Brown
- 49219School of Public Health, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA
| | - David Aguilar
- UK HealthCare, Department of Internal Medicine, 12252University of Kentucky, Lexington, KY, USA
| | - Craig L Hanis
- 49219School of Public Health, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA
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Abstract
Importance Prediabetes, an intermediate stage between normal glucose regulation and diabetes, affects 1 in 3 adults in the US and approximately 720 million individuals worldwide. Observations Prediabetes is defined by a fasting glucose level of 100 to 125 mg/dL, a glucose level of 140 to 199 mg/dL measured 2 hours after a 75-g oral glucose load, or glycated hemoglobin level (HbA1C) of 5.7% to 6.4% or 6.0% to 6.4%. In the US, approximately 10% of people with prediabetes progress to having diabetes each year. A meta-analysis found that prediabetes at baseline was associated with increased mortality and increased cardiovascular event rates (excess absolute risk, 7.36 per 10 000 person-years for mortality and 8.75 per 10 000 person-years for cardiovascular disease during 6.6 years). Intensive lifestyle modification, consisting of calorie restriction, increased physical activity (≥150 min/wk), self-monitoring, and motivational support, decreased the incidence of diabetes by 6.2 cases per 100 person-years during a 3-year period. Metformin decreased the risk of diabetes among individuals with prediabetes by 3.2 cases per 100 person-years during 3 years. Metformin is most effective for women with prior gestational diabetes and for individuals younger than 60 years with body mass index of 35 or greater, fasting plasma glucose level of 110 mg/dL or higher, or HbA1c level of 6.0% or higher. Conclusions and Relevance Prediabetes is associated with increased risk of diabetes, cardiovascular events, and mortality. First-line therapy for prediabetes is lifestyle modification that includes weight loss and exercise or metformin. Lifestyle modification is associated with a larger benefit than metformin.
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Affiliation(s)
- Justin B Echouffo-Tcheugui
- Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, Johns Hopkins School of Medicine, Baltimore, Maryland
| | - Leigh Perreault
- Department of Medicine, Division of Endocrinology, Metabolism and Diabetes, University of Colorado Anschutz Medical Campus, Aurora
| | - Linong Ji
- Department of Endocrinology, Peking University People's Hospital, Xicheng District, Beijing, China
| | - Sam Dagogo-Jack
- Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, University of Tennessee Health Science Center, Memphis
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Yang J, Xia Y, Sun Y, Guo Y, Shi Z, Cristina do Vale Moreira N, Zuo H, Hussain A. Effect of lifestyle intervention on HbA1c levels in overweight and obese adults with type 2 diabetes across ethnicities: A systematic review and meta-analysis of randomized controlled trials. Diabetes Res Clin Pract 2023; 199:110662. [PMID: 37028602 DOI: 10.1016/j.diabres.2023.110662] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Accepted: 03/31/2023] [Indexed: 04/09/2023]
Abstract
AIMS Weight reduction is fundamental for the management and remission of diabetes. We aimed to assess ethnic differences in the effects of lifestyle weight-loss interventions on HbA1c levels in overweight or obese adults with type 2 diabetes mellitus (T2DM). METHODS We systematically searched PubMed/MEDLINE and Web of Science online databases up to 31 Dec 2022. Randomized controlled trials using lifestyle weight-loss interventions in overweight or obese adults with T2DM were selected. We performed subgroup analyses to explore the heterogeneity across different ethnicities (Asians, White/Caucasians, Black/Africans and Hispanics). A random effects model was applied to calculate weighted mean difference (WMD) with 95% confidence interval (CI). RESULTS Thirty studies including 7580 subjects from different ethnicities were identified according to the predefined inclusion and exclusion criteria. HbA1c levels were significantly reduced by lifestyle weight-loss intervention. Notably, a significantly beneficial effect on HbA1c was observed in White/Caucasians (WMD = -0.59, 95% CI: -0.90, -0.28, P < 0.001) and Asians (WMD = -0.48, 95% CI: -0.63, -0.33, P < 0.001), but not in the Black/African or Hispanic group (both P > 0.05). The findings remained essentially unchanged in the sensitivity analysis. CONCLUSIONS Lifestyle weight-loss interventions had distinct beneficial effects on HbA1c levels in different ethnic groups with T2DM, especially in Caucasians and Asians.
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Affiliation(s)
- Jie Yang
- School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China
| | - Yujia Xia
- School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China
| | - Yanan Sun
- School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China
| | - Yufei Guo
- School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China
| | - Zumin Shi
- Department of Human Nutrition, College of Health Sciences, QU Health, Qatar University, Qatar
| | | | - Hui Zuo
- School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China; Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Suzhou Medical College of Soochow University, Suzhou, China.
| | - Akhtar Hussain
- Faculty of Health Sciences, NORD University, Bodø, Norway; Faculty of Medicine, Federal University of Ceará (FAMED-UFC), Brazil; International Diabetes Federation. 166 Chaussee de La Hulpe B-1170, Brussels, Belgium.
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28
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Denton JJ, Cedillo YE. Investigating family history of diabetes as a predictor of fasting insulin and fasting glucose activity in a sample of healthy weight adults. Acta Diabetol 2023; 60:535-543. [PMID: 36637530 DOI: 10.1007/s00592-023-02030-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Accepted: 01/04/2023] [Indexed: 01/14/2023]
Abstract
AIMS Type 2 diabetes is a major public health problem for the global community. Having a family history of diabetes significantly increases risk for diabetes development and understanding how family history contributes to diabetes risk could lead to more effective prevention efforts for at-risk individuals. In a previous study, we showed family history of diabetes is a significant predictor of fasting insulin in healthy weight children. The present study aimed to use the National Health and Nutrition Examination Survey (NHANES 2017) to apply similar multiple regression models to a population of healthy weight adults to determine if family history is a significant predictor of fasting glucose and fasting insulin. METHODS Fasting glucose (mg/dL) and fasting insulin (pmol/L) were used as dependent variables in each model, respectively, with family history of diabetes as the independent variable. Covariates for each model included age, gender, race/ethnicity, waist circumference, and macronutrient intake. RESULTS The model significantly predicted the variance of fasting glucose [(F(11,364) = 34.80, p < 0.001, R2 = 0.2342] and fasting insulin [F(11,343) = 17.58, p < 0.001, R2 = 0.1162]. After adjusting for covariates, family history was a significant predicator of fasting glucose (p = 0.0193) as well as age, gender, non-Hispanic black ethnicity, waist circumference, and fat intake. Significant predictors of fasting insulin included gender and waist circumference, but not family history (p = 0.8264). In addition, fasting glucose was higher in individuals with a family history of diabetes (p = 0.033). CONCLUSIONS These results add to the understanding of how family history influences the biomarkers that contribute to diabetes development. Knowledge of how family history of diabetes relates to fasting insulin and fasting glucose activity in healthy weight individuals can be used to design personalized screening and early prevention strategies.
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Affiliation(s)
- Jessica J Denton
- University of Alabama at Birmingham, School of Health Professions Building, Room 448, 1720 2nd Ave S., Birmingham, Alabama, 35294, USA.
| | - Yenni E Cedillo
- University of Alabama at Birmingham, Webb Building, Room 544, 1720 2nd Ave S., Birmingham, Alabama, 35294, USA
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Cioana M, Deng J, Nadarajah A, Hou M, Qiu Y, Chen SSJ, Rivas A, Toor PP, Banfield L, Thabane L, Chaudhary V, Samaan MC. Global Prevalence of Diabetic Retinopathy in Pediatric Type 2 Diabetes: A Systematic Review and Meta-analysis. JAMA Netw Open 2023; 6:e231887. [PMID: 36930156 PMCID: PMC10024209 DOI: 10.1001/jamanetworkopen.2023.1887] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/18/2023] Open
Abstract
IMPORTANCE Type 2 diabetes (T2D) is increasing globally. Diabetic retinopathy (DR) is a leading cause of blindness in adults with T2D; however, the global burden of DR in pediatric T2D is unknown. This knowledge can inform retinopathy screening and treatments to preserve vision in this population. OBJECTIVE To estimate the global prevalence of DR in pediatric T2D. DATA SOURCES MEDLINE, Embase, the Cumulative Index to Nursing and Allied Health Literature (CINAHL), the Cochrane Library, the Web of Science, and the gray literature (ie, literature containing information that is not available through traditional publishing and distribution channels) were searched for relevant records from the date of database inception to April 4, 2021, with updated searches conducted on May 17, 2022. Searches were limited to human studies. No language restrictions were applied. Search terms included diabetic retinopathy; diabetes mellitus, type 2; prevalence studies; and child, adolescent, teenage, youth, and pediatric. STUDY SELECTION Three teams, each with 2 reviewers, independently screened for observational studies with 10 or more participants that reported the prevalence of DR. Among 1989 screened articles, 27 studies met the inclusion criteria for the pooled analysis. DATA EXTRACTION AND SYNTHESIS This systematic review and meta-analysis followed the Meta-analysis of Observational Studies in Epidemiology (MOOSE) and the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) reporting guidelines for systematic reviews and meta-analyses. Two independent reviewers performed the risk of bias and level of evidence analyses. The results were pooled using a random-effects model, and heterogeneity was reported using χ2 and I2 statistics. MAIN OUTCOMES AND MEASURES The main outcome was the estimated pooled global prevalence of DR in pediatric T2D. Other outcomes included DR severity and current DR assessment methods. The association of diabetes duration, sex, race, age, and obesity with DR prevalence was also assessed. RESULTS Among the 27 studies included in the pooled analysis (5924 unique patients; age range at T2D diagnosis, 6.5-21.0 years), the global prevalence of DR in pediatric T2D was 6.99% (95% CI, 3.75%-11.00%; I2 = 95%; 615 patients). Fundoscopy was less sensitive than 7-field stereoscopic fundus photography in detecting retinopathy (0.47% [95% CI, 0%-3.30%; I2 = 0%] vs 13.55% [95% CI, 5.43%-24.29%; I2 = 92%]). The prevalence of DR increased over time and was 1.11% (95% CI, 0.04%-3.06%; I2 = 5%) at less than 2.5 years after T2D diagnosis, 9.04% (95% CI, 2.24%-19.55%; I2 = 88%) at 2.5 to 5.0 years after T2D diagnosis, and 28.14% (95% CI, 12.84%-46.45%; I2 = 96%) at more than 5 years after T2D diagnosis. The prevalence of DR increased with age, and no differences were noted based on sex, race, or obesity. Heterogeneity was high among studies. CONCLUSIONS AND RELEVANCE In this study, DR prevalence in pediatric T2D increased significantly at more than 5 years after diagnosis. These findings suggest that retinal microvasculature is an early target of T2D in children and adolescents, and annual screening with fundus photography beginning at diagnosis offers the best assessment method for early detection of DR in pediatric patients.
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Affiliation(s)
- Milena Cioana
- Department of Pediatrics, McMaster University, Hamilton, Ontario, Canada
- Division of Pediatric Endocrinology, McMaster Children's Hospital, Hamilton, Ontario, Canada
| | - Jiawen Deng
- Department of Pediatrics, McMaster University, Hamilton, Ontario, Canada
- Division of Pediatric Endocrinology, McMaster Children's Hospital, Hamilton, Ontario, Canada
| | - Ajantha Nadarajah
- Department of Pediatrics, McMaster University, Hamilton, Ontario, Canada
- Division of Pediatric Endocrinology, McMaster Children's Hospital, Hamilton, Ontario, Canada
| | - Maggie Hou
- Department of Pediatrics, McMaster University, Hamilton, Ontario, Canada
- Division of Pediatric Endocrinology, McMaster Children's Hospital, Hamilton, Ontario, Canada
| | - Yuan Qiu
- Department of Pediatrics, McMaster University, Hamilton, Ontario, Canada
- Division of Pediatric Endocrinology, McMaster Children's Hospital, Hamilton, Ontario, Canada
- Michael G. De Groote School of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Sondra Song Jie Chen
- Department of Pediatrics, McMaster University, Hamilton, Ontario, Canada
- Division of Pediatric Endocrinology, McMaster Children's Hospital, Hamilton, Ontario, Canada
| | - Angelica Rivas
- Department of Pediatrics, McMaster University, Hamilton, Ontario, Canada
- Division of Pediatric Endocrinology, McMaster Children's Hospital, Hamilton, Ontario, Canada
- Michael G. De Groote School of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Parm Pal Toor
- Department of Pediatrics, McMaster University, Hamilton, Ontario, Canada
- Division of Pediatric Endocrinology, McMaster Children's Hospital, Hamilton, Ontario, Canada
| | - Laura Banfield
- Health Sciences Library, McMaster University, Hamilton, Ontario, Canada
| | - Lehana Thabane
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada
- Department of Anesthesia, McMaster University, Hamilton, Ontario, Canada
- Centre for Evaluation of Medicines, St Joseph’s Health Care, Hamilton, Ontario, Canada
- Biostatistics Unit, St Joseph's Healthcare, Hamilton, Ontario, Canada
| | - Varun Chaudhary
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada
- Division of Ophthalmology, Department of Surgery, McMaster University, Hamilton, Ontario, Canada
| | - M. Constantine Samaan
- Department of Pediatrics, McMaster University, Hamilton, Ontario, Canada
- Division of Pediatric Endocrinology, McMaster Children's Hospital, Hamilton, Ontario, Canada
- Michael G. De Groote School of Medicine, McMaster University, Hamilton, Ontario, Canada
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada
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Hampl SE, Hassink SG, Skinner AC, Armstrong SC, Barlow SE, Bolling CF, Avila Edwards KC, Eneli I, Hamre R, Joseph MM, Lunsford D, Mendonca E, Michalsky MP, Mirza N, Ochoa ER, Sharifi M, Staiano AE, Weedn AE, Flinn SK, Lindros J, Okechukwu K. Clinical Practice Guideline for the Evaluation and Treatment of Children and Adolescents With Obesity. Pediatrics 2023; 151:e2022060640. [PMID: 36622115 DOI: 10.1542/peds.2022-060640] [Citation(s) in RCA: 271] [Impact Index Per Article: 271.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/16/2022] [Indexed: 01/10/2023] Open
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Sadiya A, Jakapure V, Kumar V. Ethnic Variability in Glucose and Insulin Response to Rice Among Healthy Overweight Adults: A Randomized Cross-Over Study. Diabetes Metab Syndr Obes 2023; 16:993-1002. [PMID: 37063254 PMCID: PMC10101220 DOI: 10.2147/dmso.s404212] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Accepted: 03/10/2023] [Indexed: 04/18/2023] Open
Abstract
BACKGROUND The influence of ethnicity on postprandial glucose and insulin responses has been reported earlier and rice is a major contributor to the overall glycaemic load of Asian and Arab diets. This study aims to compare postprandial glycaemic and insulinaemic responses to rice among healthy overweight Asian, Arab and European participants. METHODS In a randomized crossover design, 47 healthy overweight participants (23 Asian, 16 Arab, and 8 European) consumed 75 grams of glucose beverage or ate 270 grams of cooked basmati rice (75 g of available carbohydrate) on two separate occasions, separated by a one 1-week washout period. Blood glucose and insulin levels were determined at fasting 0 (fasting), 30, 60, and 120 minutes and used to determine the incremental area under the curve (iAUC). RESULTS The three groups were matched on body mass index and gender. Although no differences were noted statistically in most clinical features, a wide range of variation was noted in age, systolic, diastolic blood pressure. The fasting blood glucose and insulin levels were highest among Asians, followed by Arabs and Europeans (p < 0.01). According to the HOMA-IR test and the Matsuda index, Asians have a higher insulin resistance than Arabs or Europeans when consuming a glucose beverage (p < 0.001) and rice (p < 0.01). Postprandial glucose and insulin responses to glucose beverage did not differ between ethnic groups (p = 0.28; p = 0.10). Based on an unadjusted regression model, European participants had significantly lower iAUC-glucose (p = 0.02) and iAUC-insulin (p = 0.01) after rice consumption than Asian participants. In the adjusted model, the difference between the two groups remained for iAUC-insulin (p = 0.04) but not for iAUC-glucose (p = 0.07). CONCLUSION Our study found that ethnic differences exist among healthy overweight adults in terms of insulin resistance, glycaemic response and insulinaemic response to rice. As a result of their high insulin resistance, Asian participants had a higher postprandial insulin spike than Europeans after eating rice. These findings could have substantial implications for nutrition recommendations based on ethnicity, particularly for Asians.
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Affiliation(s)
- Amena Sadiya
- Lifestyle Clinic, Rashid Centre for Diabetes and Research, Sheikh Khalifa Medical City Ajman, Ajman, United Arab Emirates
- Correspondence: Amena Sadiya, Rashid Centre for Diabetes and Research, Sheikh Khalifa Medical City Ajman, PO Box-5166, Ajman, United Arab Emirates, Email
| | - Vidya Jakapure
- Research Department, Sheikh Khalifa Medical City Ajman, Ajman, United Arab Emirates
| | - Vijay Kumar
- Laboratory, Sheikh Khalifa Medical City Ajman, Ajman, United Arab Emirates
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ElSayed NA, Aleppo G, Aroda VR, Bannuru RR, Brown FM, Bruemmer D, Collins BS, Hilliard ME, Isaacs D, Johnson EL, Kahan S, Khunti K, Leon J, Lyons SK, Perry ML, Prahalad P, Pratley RE, Seley JJ, Stanton RC, Gabbay RA, on behalf of the American Diabetes Association. 2. Classification and Diagnosis of Diabetes: Standards of Care in Diabetes-2023. Diabetes Care 2023; 46:S19-S40. [PMID: 36507649 PMCID: PMC9810477 DOI: 10.2337/dc23-s002] [Citation(s) in RCA: 765] [Impact Index Per Article: 765.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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Xing Y, Zhen Y, Yang L, Huo L, Ma H. Association between hemoglobin glycation index and non-alcoholic fatty liver disease. Front Endocrinol (Lausanne) 2023; 14:1094101. [PMID: 36824362 PMCID: PMC9941148 DOI: 10.3389/fendo.2023.1094101] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Accepted: 01/26/2023] [Indexed: 02/10/2023] Open
Abstract
OBJECTIVE The hemoglobin glycation index (HGI) reflects biological variability in hemoglobin A1c. Even so, studies on the relationship between HGI and non-alcoholic fatty liver disease (NAFLD) are limited. Therefore, this study aimed to explore the relationship between HGI and NAFLD. In addition, the study also aimed to provide new methods to identify patients with a high risk for the development of NAFLD. METHODS This was a retrospective study based on physical examination data from Japan. Patients were divided into quartiles (Q1-Q4) according to their HGI level; the lowest quartile (Q1) was used as the reference group. Patents were also classified into two subgroups based on the presence or absence of NAFLD. Baseline characteristics between the groups were compared. Multivariate logistic regression analysis was used to investigate the association between the HGI and NAFLD. A mediation analysis examined the mediation relationship between HGI and NAFLD. Subgroup analyses were performed to the reliability of the results. RESULTS A total of 14280 patients were eligible for inclusion in this study; 2515 had NAFLD. Patients in the NAFLD group had higher levels of HGI than patients in the non-NAFLD group. Increases in HGI correlated with an increased risk of NAFLD. After adjusting for confounding factors, the multivariate logistic regression analysis revealed that HGI was positively related to the prevalence of NAFLD. In addition, mediation analysis showed that body mass index (BMI) partly mediated the indirect impact of HGI on NAFLD preference. Subgroup analyses were performed according to age, sex, smoking status, and waist circumference. Our results indicated that HGI significantly correlated with NAFLD in patients with one of the following factors: age ≤60 years, BMI >28 kg/m2, female sex, a history of smoking, and abdominal obesity. CONCLUSIONS HGI was an independent risk factor for NAFLD, and BMI partly mediated the association between HGI and NAFLD.
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Affiliation(s)
- Yuling Xing
- Department of Endocrinology, Hebei General Hospital, Shijiazhuang, China
- Department of School of Post Graduate Studies, Hebei Medical University, Shijiazhuang, Hebei, China
| | - Yunfeng Zhen
- Department of Endocrinology, Hebei General Hospital, Shijiazhuang, China
| | - Liqun Yang
- Department of Endocrinology, Hebei General Hospital, Shijiazhuang, China
| | - Lijing Huo
- Department of Clinical Laboratory, Hebei General Hospital, Shijiazhuang, China
| | - Huijuan Ma
- Department of Clinical Laboratory, Hebei General Hospital, Shijiazhuang, China
- Hebei Key Laboratory of Metabolic Diseases, Hebei General Hospital Shijiazhuang, Hebei, China
- Department of Internal Medicine, Hebei Medical University, Shijiazhuang, Hebei, China
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Liddy AM, Grundy S, Sreenan S, Tormey W. Impact of haemoglobin variants on the use of haemoglobin A1c for the diagnosis and monitoring of diabetes: a contextualised review. Ir J Med Sci 2023; 192:169-176. [PMID: 35362846 PMCID: PMC9892076 DOI: 10.1007/s11845-022-02967-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Accepted: 03/04/2022] [Indexed: 02/05/2023]
Abstract
HbA1c is the established test for monitoring glycaemic control in diabetes, and intervention trials studying the impact of treatment on glycaemic control and risk of complications focus predominantly on this parameter in terms of evaluating the glycaemic outcomes. It is also the main parameter used when targets for control are being individualised, and more recently, it has been used for the diagnosis of type 2 diabetes. For laboratories performing this test and clinicians utilising it in their decision-making process, a thorough understanding of factors that can impact on the accuracy, and appropriate interpretation of the test is essential. The changing demographic in the Irish population over the last two decades has brought this issue sharply into focus. It is therefore timely to review the utility, performance and interpretation of the HbA1c test to highlight factors impacting on the results, specifically the impact of haemoglobin variants, and the impact of these factors on its utilisation in clinical practice.
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Affiliation(s)
- Anne Marie Liddy
- Department of Diabetes and Endocrinology, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Stephan Grundy
- Department of Diabetes and Endocrinology, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Seamus Sreenan
- Department of Diabetes and Endocrinology, Connolly Hospital, Dublin 15, Blanchardstown, Ireland
| | - William Tormey
- Department of Chemical Pathology, Beaumont Hospital, Dublin, Ireland ,Biomedical Sciences, University of Ulster, Coleraine, Northern Ireland
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Garonzi C, Maguolo A, Maffeis C. Pros and Cons of Current Diagnostic Tools for Risk-Based Screening of Prediabetes and Type 2 Diabetes in Children and Adolescents with Overweight or Obesity. Horm Res Paediatr 2022; 96:356-365. [PMID: 36509067 DOI: 10.1159/000528342] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Accepted: 11/18/2022] [Indexed: 12/14/2022] Open
Abstract
It is still a matter of debate which is the most suitable diagnostic test for risk-based screening of prediabetes and type 2 diabetes (T2D) in children and adolescents with overweight or obesity. This review highlighted benefits and pitfalls of currently recommended screening tools (fasting plasma glucose [FPG], oral glucose tolerance test [OGTT], glycated hemoglobin A1c [HbA1c]). The greatest advantage of OGTT is the ability to detect people with impaired glucose tolerance, a subcategory at high risk of developing both T2D and cardiovascular disease. Important disadvantages are low reproducibility and inconvenience. FPG measurement is more practical, as it needs only one blood draw, although both OGTT and FPG require fasting. The reliability of HbA1c as a screening tool has been questioned, especially in children and adolescents, but its undeniable convenience can lead to increased adherence to screening. In contrast, it can be altered by several nonglycemic factors. Importantly, none of these tests have been validated in the pediatric population. Alternative tests have been recently proposed, including new OGTT-derived biomarkers and additional nonfasting glycemic markers. In conclusion, when choosing the most suitable test in clinical practice, advantages and disadvantages should be considered, as well as the possibility of performing different tests at once.
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Affiliation(s)
- Chiara Garonzi
- Section of Pediatric Diabetes and Metabolism, Department of Surgery, Dentistry, Pediatrics, and Gynecology, University of Verona, Verona, Italy
| | - Alice Maguolo
- Section of Pediatric Diabetes and Metabolism, Department of Surgery, Dentistry, Pediatrics, and Gynecology, University of Verona, Verona, Italy
| | - Claudio Maffeis
- Section of Pediatric Diabetes and Metabolism, Department of Surgery, Dentistry, Pediatrics, and Gynecology, University of Verona, Verona, Italy
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Xu S, Qin Z, Yuan R, Cui X, Zhang L, Bai J, Liu G, Wang Z, Yu F, Lv Y, Zhang J, Tang J. The hemoglobin glycation index predicts the risk of adverse cardiovascular events in coronary heart disease patients with type 2 diabetes mellitus. Front Cardiovasc Med 2022; 9:992252. [PMID: 36407464 PMCID: PMC9668857 DOI: 10.3389/fcvm.2022.992252] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Accepted: 10/06/2022] [Indexed: 11/06/2022] Open
Abstract
Background Previous studies have shown that the hemoglobin glycation index (HGI) can be used as a predictor of diabetic complications. However, limited information is currently available to indicate the correlation between HGI and comorbidity of coronary heart disease (CHD) and diabetes. This study aimed to evaluate the potential of HGI to predict major adverse cardiovascular events (MACEs) in CHD patients with type 2 diabetes mellitus (T2DM) undergoing percutaneous coronary intervention (PCI). Materials and methods A total of 918 CHD patients with T2DM were enrolled in a 3-year retrospective cohort study, from December 2017 to December 2020 at the First Affiliated Hospital of Zhengzhou University. Data including fasting blood glucose (FPG/FBG) and glycated hemoglobin A1c (HbA1c) were collected. HGI was calculated as actual measured HbA1c minus predicted HbA1c. Three groups were further divided based on the levels of HGI, including low, medium, and high levels. Result Kaplan Meier analysis indicated that elevated HGI was strongly associated with the occurence of MACE (log-rank P < 0.001). Multivariate Cox regression analysis revealed that elevated HGI was an independent risk factor for incident MACE in CHD patients with T2DM [adjusted hazard ratio (HR): 1.473; 95% confidence interval (CI): 1.365-1.589, P < 0.001]. Conclusions Hemoglobin glycation index is an independent predictor of MACE events in CHD patients with T2DM. High HGI indicates a higher risk of MACE occurrence.
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Affiliation(s)
- Shuai Xu
- Department of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan Province Key Laboratory of Cardiac Injury and Repair, Zhengzhou, China
- Henan Province Clinical Research Center for Cardiovascular Diseases, Zhengzhou, China
| | - Zhen Qin
- Department of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan Province Key Laboratory of Cardiac Injury and Repair, Zhengzhou, China
- Henan Province Clinical Research Center for Cardiovascular Diseases, Zhengzhou, China
| | - Ruixia Yuan
- Clinical Big Data Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Xiaolin Cui
- School of Medicine, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR, China
- Department of Bone and Joint, The First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Li Zhang
- Department of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan Province Key Laboratory of Cardiac Injury and Repair, Zhengzhou, China
- Henan Province Clinical Research Center for Cardiovascular Diseases, Zhengzhou, China
| | - Jing Bai
- Department of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan Province Key Laboratory of Cardiac Injury and Repair, Zhengzhou, China
- Henan Province Clinical Research Center for Cardiovascular Diseases, Zhengzhou, China
| | - Gangqiong Liu
- Department of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan Province Key Laboratory of Cardiac Injury and Repair, Zhengzhou, China
- Henan Province Clinical Research Center for Cardiovascular Diseases, Zhengzhou, China
| | - Zeyu Wang
- Department of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan Province Key Laboratory of Cardiac Injury and Repair, Zhengzhou, China
- Henan Province Clinical Research Center for Cardiovascular Diseases, Zhengzhou, China
| | - Fengyi Yu
- Department of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan Province Key Laboratory of Cardiac Injury and Repair, Zhengzhou, China
- Henan Province Clinical Research Center for Cardiovascular Diseases, Zhengzhou, China
| | - Yan Lv
- Department of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan Province Key Laboratory of Cardiac Injury and Repair, Zhengzhou, China
- Henan Province Clinical Research Center for Cardiovascular Diseases, Zhengzhou, China
| | - Jinying Zhang
- Department of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan Province Key Laboratory of Cardiac Injury and Repair, Zhengzhou, China
- Henan Province Clinical Research Center for Cardiovascular Diseases, Zhengzhou, China
- Jinying Zhang,
| | - Junnan Tang
- Department of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan Province Key Laboratory of Cardiac Injury and Repair, Zhengzhou, China
- Henan Province Clinical Research Center for Cardiovascular Diseases, Zhengzhou, China
- *Correspondence: Junnan Tang,
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Saju R, Castellon-Lopez Y, Turk N, Moin T, Mangione CM, Norris KC, Vu A, Maranon R, Fu J, Cheng F, Duru OK. Differences in Weight Loss by Race and Ethnicity in the PRIDE Trial: a Qualitative Analysis of Participant Perspectives. J Gen Intern Med 2022; 37:3715-3722. [PMID: 35469358 PMCID: PMC9037581 DOI: 10.1007/s11606-022-07521-5] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Accepted: 03/28/2022] [Indexed: 11/26/2022]
Abstract
BACKGROUND Many Diabetes Prevention Program (DPP) translation efforts have been less effective for underresourced populations. In the cluster-randomized Prediabetes Informed Decision and Education (PRIDE) trial, which evaluated a shared decision-making (SDM) intervention for diabetes prevention, Hispanic and non-Hispanic Black participants lost less weight than non-Hispanic White participants at 12-month follow-up. OBJECTIVE To explore perspectives about weight loss from PRIDE participants of different racial and ethnic groups. PARTICIPANTS Sample of participants with prediabetes who were randomized to the PRIDE intervention arm (n=24). APPROACH We conducted semi-structured interviews within three groups stratified by DPP participation and % weight loss at 12 months: (DPP+/WL+, enrolled in DPP and lost >5% weight; DPP+/WL-, enrolled in DPP and lost <3% weight; DPP-/WL-, did not enroll in DPP and lost <3% weight). Each group was further subdivided on race and ethnicity (non-Hispanic Black (NHB), non-Hispanic White (NHW), Hispanic). Interviews were conducted on Zoom and transcripts were coded and analyzed with Dedoose. KEY RESULTS Compared to NHW participants, Hispanic and NHB participants more often endorsed weight loss barriers of limited time to make lifestyle changes due to long work and commute hours, inconvenient DPP class locations and offerings, and limited disposable income for extra weight loss activities. Conversely, facilitators of weight loss regardless of race and ethnicity included retirement or having flexible work schedules; being able to identify convenient DPP classes; having a strong, positive support system; and purchasing supplementary resources to support lifestyle change (e.g., gym memberships, one-on-one activity classes). CONCLUSIONS We found that NHB and Hispanic SDM participants report certain barriers to weight loss more commonly than NHW participants, particularly barriers related to limited disposable income and/or time constraints. Our findings suggest that increased lifestyle change support and flexible program delivery options may be needed to ensure equity in DPP reach, participant engagement, and outcomes.
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Affiliation(s)
- Rintu Saju
- David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - Yelba Castellon-Lopez
- David Geffen School of Medicine, University of California, Los Angeles, CA, USA
- Department of Family Medicine, University of California, Los Angeles, CA, USA
| | - Norman Turk
- David Geffen School of Medicine, University of California, Los Angeles, CA, USA
- Department of Medicine, Division of General Internal Medicine and Health Services Research, University of California, Los Angeles, CA, USA
| | - Tannaz Moin
- David Geffen School of Medicine, University of California, Los Angeles, CA, USA
- Department of Medicine, Division of General Internal Medicine and Health Services Research, University of California, Los Angeles, CA, USA
- VA Greater Los Angeles Health System and HSR&D Center for Study of Healthcare Innovation, Implementation & Policy, University of California, Los Angeles, CA, USA
- Division of Endocrinology, Diabetes & Metabolism, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Carol M Mangione
- David Geffen School of Medicine, University of California, Los Angeles, CA, USA
- Department of Medicine, Division of General Internal Medicine and Health Services Research, University of California, Los Angeles, CA, USA
- Jonathan and Karin Fielding School of Public Health, University of California, Los Angeles, CA, USA
| | - Keith C Norris
- David Geffen School of Medicine, University of California, Los Angeles, CA, USA
- Department of Medicine, Division of General Internal Medicine and Health Services Research, University of California, Los Angeles, CA, USA
| | - Amanda Vu
- David Geffen School of Medicine, University of California, Los Angeles, CA, USA
- Department of Medicine, Division of General Internal Medicine and Health Services Research, University of California, Los Angeles, CA, USA
| | - Richard Maranon
- David Geffen School of Medicine, University of California, Los Angeles, CA, USA
- Department of Medicine, Division of General Internal Medicine and Health Services Research, University of California, Los Angeles, CA, USA
| | - Jeffery Fu
- David Geffen School of Medicine, University of California, Los Angeles, CA, USA
- Department of Medicine, Division of General Internal Medicine and Health Services Research, University of California, Los Angeles, CA, USA
| | - Felicia Cheng
- David Geffen School of Medicine, University of California, Los Angeles, CA, USA
- Department of Medicine, Division of General Internal Medicine and Health Services Research, University of California, Los Angeles, CA, USA
| | - O Kenrik Duru
- David Geffen School of Medicine, University of California, Los Angeles, CA, USA.
- Department of Medicine, Division of General Internal Medicine and Health Services Research, University of California, Los Angeles, CA, USA.
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Moore-Harrison T, Keane K, Jerome Brandon L. Cardiometabolic risk factors and cardiovascular disease predictions in older African and European Americans. Prev Med Rep 2022; 30:102019. [PMID: 36275039 PMCID: PMC9579359 DOI: 10.1016/j.pmedr.2022.102019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Revised: 09/23/2022] [Accepted: 10/09/2022] [Indexed: 11/11/2022] Open
Abstract
Cardiometabolic (CMO) risks factors do not provide similar cardiovascular disease (CVD) predictions in young African (AA) and European Americans (EA) adults. Whether CMO risk predictions contribute to this disparity in older adults is unclear. We hypothesize that older AA CMO clustering pattern will be different from EA clustering patterns when determine with non-fasting lipid and lipoproteins. The participants were 106 older adults (66 AA and 40 EA) from a working/middle class neighborhood (income $46,364 – $80,904) in an urban North Carolina community. The participants were evaluated for CMO risk factors (total cholesterol, high- (HDL) and low-density lipoproteins (LDL), triglyceride (TG), glycosylated hemoglobin (HbA1c), systolic –SBP- and diastolic blood pressures -DBP), body mass index (BMI), body fat % (BF%) and timed up and go test (assessed falls risk and physical function). The AA participants were heavier, had higher BMI, BF%, and timed up and go values (p < 0.01). The data were evaluated for differences (t-test) and Pearson correlations for relationships. If data differ by p < 0.05 the data were significantly different. The AA had a 17.6 % higher HDL (64.7 vs 55.1 mg/dL – p < 0.05) and 7.6 % higher HbA1c (5.8 vs 5.4 % – p < 0.01) than EA. Higher HDL values in EA indicate lower CVD risks. The HDL paradox for AA (AA had higher HDL values, but greater CVD risks) was observed and the HbA1c difference may be misleading, as similar glucose values in AA tend to have higher HbA1c values. Lipid, lipoprotein, and blood pressure was not different between the races. AA had higher body composition and HDL values. Although future research on this topic with larger samples, dietary data and detailed descriptions of participations medications is warranted to validate findings from this study. These data suggest older AA and EA adults with similar environmental conditions have similar CMO risks when measures with none fasting blood samples. Since AA have a greater prevalence of CVD, these finding suggests that population specific CMO risk factor clustering may be more effective predictors of CVD for AA.
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Affiliation(s)
- Trudy Moore-Harrison
- Dept. of Applied Physiology, Health and Clinical Sciences, University of North Carolina Charlotte, Charlotte, NC, USA,Corresponding author.
| | - Kivana Keane
- Dept. of Applied Physiology, Health and Clinical Sciences, University of North Carolina Charlotte, Charlotte, NC, USA
| | - L. Jerome Brandon
- Department of Kinesiology & Health, Georgia State Univ. Atlanta, GA, USA
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Dorans KS, Bazzano LA, Qi L, He H, Chen J, Appel LJ, Chen CS, Hsieh MH, Hu FB, Mills KT, Nguyen BT, O’Brien MJ, Samet JM, Uwaifo GI, He J. Effects of a Low-Carbohydrate Dietary Intervention on Hemoglobin A1c: A Randomized Clinical Trial. JAMA Netw Open 2022; 5:e2238645. [PMID: 36287562 PMCID: PMC9606840 DOI: 10.1001/jamanetworkopen.2022.38645] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
IMPORTANCE Low-carbohydrate diets decrease hemoglobin A1c (HbA1c) among patients with type 2 diabetes at least as much as low-fat diets. However, evidence on the effects of low-carbohydrate diets on HbA1c among individuals with HbA1c in the range of prediabetes to diabetes not treated by diabetes medications is limited. OBJECTIVE To study the effect of a behavioral intervention promoting a low-carbohydrate diet compared with usual diet on 6-month changes in HbA1c among individuals with elevated untreated HbA1c. DESIGN, SETTING, AND PARTICIPANTS This 6-month randomized clinical trial with 2 parallel groups was conducted from September 2018 to June 2021 at an academic medical center in New Orleans, Louisiana. Laboratory analysts were blinded to assignment. Participants were aged 40 to 70 years with untreated HbA1c of 6.0% to 6.9% (42-52 mmol/mol). Data analysis was performed from November 2021 to September 2022. INTERVENTIONS Participants were randomized to a low-carbohydrate diet intervention (target <40 net grams of carbohydrates during the first 3 months; <60 net grams for months 3 to 6) or usual diet. The low-carbohydrate diet group received dietary counseling. MAIN OUTCOMES AND MEASURES Six-month change in HbA1c was the primary outcome. Outcomes were measured at 0, 3, and 6 months. RESULTS Of 2722 prescreened participants, 962 underwent screening, and 150 were enrolled (mean [SD] age, 58.9 [7.9] years; 108 women [72%]; 88 Black participants [59%]) and randomized to either the low-carbohydrate diet intervention (75 participants) or usual diet (75 participants) group. Six-month data were collected on 142 participants (95%). Mean (SD) HbA1c was 6.16% (0.30%) at baseline. Compared with the usual diet group, the low-carbohydrate diet intervention group had significantly greater 6-month reductions in HbA1c (net difference, -0.23%; 95% CI, -0.32% to -0.14%; P < .001), fasting plasma glucose (-10.3 mg/dL; 95% CI, -15.6 to -4.9 mg/dL; P < .001), and body weight (-5.9 kg; 95% CI, -7.4 to -4.4 kg; P < .001). CONCLUSIONS AND RELEVANCE In this randomized clinical trial, a low-carbohydrate dietary intervention led to improvements in glycemia in individuals with elevated HbA1c not taking glucose-lowering medication, but the study was unable to evaluate its effects independently of weight loss. This diet, if sustained, might be a useful dietary approach for preventing and treating type 2 diabetes, but more research is needed. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT03675360.
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Affiliation(s)
- Kirsten S. Dorans
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana
- Tulane University Translational Science Institute, New Orleans, Louisiana
| | - Lydia A. Bazzano
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana
- Tulane University Translational Science Institute, New Orleans, Louisiana
- Department of Medicine, Tulane University School of Medicine, New Orleans, Louisiana
| | - Lu Qi
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana
- Tulane University Translational Science Institute, New Orleans, Louisiana
| | - Hua He
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana
- Tulane University Translational Science Institute, New Orleans, Louisiana
| | - Jing Chen
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana
- Tulane University Translational Science Institute, New Orleans, Louisiana
- Department of Medicine, Tulane University School of Medicine, New Orleans, Louisiana
| | - Lawrence J. Appel
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland
| | - Chung-Shiuan Chen
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana
- Tulane University Translational Science Institute, New Orleans, Louisiana
| | - Ming-Hui Hsieh
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana
| | - Frank B. Hu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Katherine T. Mills
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana
- Tulane University Translational Science Institute, New Orleans, Louisiana
| | - Bernadette T. Nguyen
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana
| | - Matthew J. O’Brien
- Division of General Internal Medicine and Geriatrics, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
- Institute of Public Health and Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Jonathan M. Samet
- Institute of Public Health and Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
- Colorado School of Public Health, Aurora
| | - Gabriel I. Uwaifo
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
- Department of Endocrinology, Diabetes, Metabolism, and Weight Management, Ochsner Medical Center, New Orleans, Louisiana
| | - Jiang He
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana
- Tulane University Translational Science Institute, New Orleans, Louisiana
- Department of Medicine, Tulane University School of Medicine, New Orleans, Louisiana
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Wallam S, Abusamaan MS, Clarke W, Mathioudakis N. Factors Associated With Discordant A1C-Estimated and Measured Average Glucose Among Hospitalized Patients With Diabetes. Clin Diabetes 2022; 41:208-219. [PMID: 37092143 PMCID: PMC10115769 DOI: 10.2337/cd22-0047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
In this retrospective analysis, we explored the correlation between measured average glucose (mAG) and A1C-estimated average glucose (eAG) in hospitalized patients with diabetes and identified factors associated with discordant mAG and eAG at the transition from home to hospital. Having mAG lower than eAG was associated with Black race, other race, increasing length of stay, community hospital setting, surgery, fever, metformin use, certain inpatient diets, home antihyperglycemic treatment, and coded type 1 or type 2 diabetes. Having mAG higher than eAG was associated with certain discharge services (e.g., intensive care unit), higher BMI, hypertension, tachycardia, higher albumin, higher potassium, anemia, inpatient glucocorticoid use, and treatment with home insulin, secretagogues, and glucocorticoids. These factors should be considered when using patients' A1C as an indicator of outpatient glycemic control to determine the inpatient antihyperglycemic regimens.
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Affiliation(s)
- Sara Wallam
- Division of Endocrinology, Diabetes, & Metabolism, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Mohammed S. Abusamaan
- Division of Endocrinology, Diabetes, & Metabolism, Johns Hopkins University School of Medicine, Baltimore, MD
| | - William Clarke
- Division of Clinical Chemistry, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Nestoras Mathioudakis
- Division of Endocrinology, Diabetes, & Metabolism, Johns Hopkins University School of Medicine, Baltimore, MD
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Sharma A, Nermoen I, Qvigstad E, Tran AT, Sommer C, Sattar N, Gill JMR, Gulseth HL, Sollid ST, Birkeland KI. High prevalence and significant ethnic differences in actionable HbA 1C after gestational diabetes mellitus in women living in Norway. BMC Med 2022; 20:318. [PMID: 36138475 PMCID: PMC9502889 DOI: 10.1186/s12916-022-02515-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Accepted: 08/03/2022] [Indexed: 11/20/2022] Open
Abstract
BACKGROUND The type 2 diabetes risk after gestational diabetes mellitus (GDM) is twice as high in South Asian compared to European women. Current guidelines differ regarding which test to use as a screening-tool post-GDM. We aimed to identify ethnic differences in the prevalence rates and early predictors for actionable HbA1c (defined as prediabetes and diabetes) short time after GDM. METHODS This cross-sectional study, enrolling South Asian and Nordic women 1-3 years after a diagnosis of GDM, was undertaken at three hospitals in Norway. We performed a clinical and laboratory evaluation including an oral glucose tolerance test (OGTT). Medical records were used to retrieve data during pregnancy. Prediabetes was classified with HbA1c alone or combined with OGTT glucose measurements according to the WHO, WHO-IEC, and ADA criteria (fasting plasma glucose (FPG) 6.1-6.9 mmol/L, FPG 6.1-6.9 mmol/L and/or HbA1c 42-47 mmol/mol (6.0-6.4%), and FPG 5.6-6.9 mmol/L and/or HbA1c 39-47 mmol/mol (5.7-6.4%)). Ethnic differences in prevalence and predictors of glucose deterioration were assed by χ2 (Pearson) tests and logistic regression models. RESULTS We included 163 South Asian and 108 Nordic women. Actionable HbA1c levels were highly prevalent and more so among South Asian than Nordic women (WHO-IEC-HbA1c: 25.8% vs. 6.5% (p ≤ 0.001), ADA-HbA1c: 58.3% vs. 22.2% (p ≤ 0.001)). Although adding OGTT-data gave higher combined prevalence rates of prediabetes and diabetes (WHO: 65.6% vs. 47.2% (p ≤ 0.05), WHO-IEC: 70.6% vs. 47.2% (p ≤ 0.001), ADA: 87.8% vs. 65.7% (p ≤ 0.001)), the excess risk in the South Asian women was best captured by the HbA1c. Important predictors for glucose deterioration after GDM were: South Asian ethnicity, GDM before the index pregnancy, use of glucose-lowering drugs in pregnancy, higher age, and higher in-pregnancy fasting glucose levels. CONCLUSIONS In women with GDM 1-3 year previously, we found high prevalence and significant ethnic differences in actionable ADA-HbA1c levels, with South Asian ethnicity, GDM before the index pregnancy, and the use of glucose-lowering drugs in pregnancy as the most important risk factors. This study reinforces the importance of annual screening-preferably with HbA1c measurements-to facilitate early intervention after GDM.
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Affiliation(s)
- Archana Sharma
- Department of Endocrinology, Akershus University Hospital, University of Oslo, 1478, Lørenskog, Norway. .,Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
| | - Ingrid Nermoen
- Department of Endocrinology, Akershus University Hospital, University of Oslo, 1478, Lørenskog, Norway.,Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Elisabeth Qvigstad
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, Norway
| | - Anh T Tran
- Institute of Health and Society, Department of General Practice, University of Oslo, Oslo, Norway
| | - Christine Sommer
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, Norway
| | - Naveed Sattar
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, BHF Glasgow Cardiovascular Research Centre, 126 University Place, Glasgow, G12 8TA, UK
| | - Jason M R Gill
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, BHF Glasgow Cardiovascular Research Centre, 126 University Place, Glasgow, G12 8TA, UK
| | | | - Stina T Sollid
- Department of Medicine, Drammen Hospital, Vestre Viken Health Trust, Drammen, Norway
| | - Kåre I Birkeland
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, Norway
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Gaillard T, Chen H, Effoe VS, Correa A, Carnethon M, Kalyani RR, Echouffo-Tcheugui JB, Joseph JJ, Bertoni AG. Glucometabolic State Transitions: The Jackson Heart Study. Ethn Dis 2022; 32:203-212. [PMID: 35909644 PMCID: PMC9311302 DOI: 10.18865/ed.32.3.203] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023] Open
Abstract
Background Diabetes and prediabetes are common among African Americans (AA), but the frequency and predictors of transition between normal, impaired glucose metabolism, and diabetes are not well-described. The aim of this study was to examine glucometabolic transitions and their association with the development of type 2 diabetes (T2D). Methods AA participants of the Jackson Heart Study who attended baseline exam (2000-2004) and at least one of two subsequent exams (2005-2008 and 2009-2013, ~8 years) were classified according to glycemic status. Transitions were defined as progression (deterioration) or remission (improvement) of glycemic status. Multinomial logistic regression models with repeated measures were used to estimate the odds ratios (OR) for remission and progression with adjustment for demographic, anthropometric, behavioral, and biochemical factors. Results Among 3353 participants, (mean age 54.6±12.3 years), 43% were normoglycemic, 32% were prediabetes, and 25% had diabetes at baseline. For those with normal glucose at a visit, the probability at the next visit (~4years) of having prediabetes or diabetes was 38.5% and 1.8%, respectively. For those with prediabetes, the probability was 9.9% to improve to normal and 19.9% to progress to diabetes. Progression was associated with baseline BMI, diabetes status, triglycerides, family history of diabetes, and weight gain (OR 1.04 kg, 95% CI:1.03-1.06, P=<.0001). Remission was strongly associated with weight loss (OR .97 kg, 95%CI: .95-.98, P<.001). Conclusions In AAs, glucometabolic transitions were frequent and most involved deterioration. From a public health perspective additional emphasis should be placed on weight control to preserve glucometabolic status and prevent progression to T2D.
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Affiliation(s)
| | - Haiying Chen
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston Salem, NC
| | - Valery S. Effoe
- Division of Cardiology, Morehouse School of Medicine, Atlanta, GA
| | - Adolfo Correa
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS
| | - Mercedes Carnethon
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL
| | - Rita R. Kalyani
- Division of Endocrinology, Metabolism and Diabetes, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Justin B. Echouffo-Tcheugui
- Division of Endocrinology, Metabolism and Diabetes, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Joshua J. Joseph
- Division of Endocrinology, Diabetes and Metabolism, The Ohio State University Wexner Medical Center, Columbus, OH
| | - Alain G. Bertoni
- Department of Epidemiology and Prevention, Wake Forest School of Medicine, Winston Salem, NC
- Maya Angelou Center for Health Equity, Wake Forest School of Medicine, Winston-Salem NC
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Chen WL, Sheu WHH, Li YH, Wang JS, Lee WJ, Liang KW, Lee WL, Lee IT. Newly diagnosed diabetes based on an oral glucose tolerance test predicts cardiovascular outcomes in patients with coronary artery disease: An observational study. Medicine (Baltimore) 2022; 101:e29557. [PMID: 35839026 PMCID: PMC11132382 DOI: 10.1097/md.0000000000029557] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Accepted: 04/21/2022] [Indexed: 11/26/2022] Open
Abstract
Diabetes is prevalent in patients with coronary artery disease (CAD). Using the oral glucose tolerance test (OGTT), abnormal glucose regulation can be detected early in CAD patients without known diabetes. In the present study, we assessed the impact of abnormal glucose regulation on the long-term cardiovascular outcomes of patients with established CAD. Patients hospitalized for a scheduled angiography due to angina were enrolled in Taichung Veterans General Hospital. Fasting plasma glucose (FPG) and 2-hour postload glucose (2hPG) were assessed using the OGTT. Hemoglobin A1c (HbA1c) and other biochemical analyses were assessed using fasting blood samples. During a median follow-up period of 4.6 years, a composite of all-cause mortality, nonfatal myocardial infarction, and nonfatal stroke was recorded as the primary endpoint. In 682 enrolled patients who completed the follow-up, there were 16 myocardial infarction events, 12 stroke events, and 58 deaths as composite endpoints. According to FPG and 2hPG, patients with newly diagnosed diabetes had a 2-fold higher risk for the composite endpoint than those in the normal glucose group (hazard ratio [HR], 2.011; 95% confidence interval (CI), 1.101-3.673; P = .023); however, prediabetes was not significantly associated with the composite endpoint (HR, 1.452; 95% CI, 0.788-2.675; P = .232). On the other hand, patients with diabetes diagnosed by FPG and HbA1c did not have a significantly higher risk for the composite endpoint than those in the normal glucose group (HR, 1.321; 95% CI, 0.686-2.545; P = .405). A 2hPG ≥7.8 mmol/L was a significant predictor for the composite endpoint (odds ratio, 1.743; 95% CI, 1.060-2.863; P = .028) after adjusting for age, sex, and estimated glomerular filtration rate. Diabetes, but not prediabetes, detected via OGTT is associated with a significantly increased risk for the composite endpoint in patients with established CAD. The 2hPG provided a greater predictive power for the composite endpoint than fasting glucose and HbA1c.
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Affiliation(s)
- Wei-Lin Chen
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Wayne Huey-Herng Sheu
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Yu-Hsuan Li
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
- Department of Computer Science & Information Engineering, National Taiwan University, Taipei, Taiwan
| | - Jun-Sing Wang
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Wen-Jane Lee
- Department of Medical Research, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Kae-Woei Liang
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
- Cardiovascular Center, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Wen-Lieng Lee
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
- Cardiovascular Center, Taichung Veterans General Hospital, Taichung, Taiwan
| | - I-Te Lee
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
- School of Medicine, Chung Shan Medical University, Taichung, Taiwan
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Song BM, Lee JH, Woo HD, Cho MJ, Kim SS. Association between haemoglobin A1c and all-cause and cause-specific mortality in middle-aged and older Koreans: a prospective cohort study. Nutr Metab (Lond) 2022; 19:46. [PMID: 35836264 PMCID: PMC9284843 DOI: 10.1186/s12986-022-00682-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Accepted: 06/30/2022] [Indexed: 11/21/2022] Open
Abstract
Background This study aimed to examine associations between haemoglobin A1c (HbA1c) levels over time and all-cause and cause-specific mortality in middle-aged and older Koreans. Methods Using 16 years of follow-up data from the Korean Genome and Epidemiology Study, we analysed 9294 individuals aged 40–69 years with no history of cardiovascular disease (CVD) or cancer. Participants were divided into a known diabetes group and five groups categorized by HbA1c levels (< 5.0%, 5.0–5.4%, 5.5–5.9%, 6.0–6.4%, and ≥ 6.5%). Hazard ratios (HRs) for all-cause and cause-specific mortality associated with HbA1c levels were calculated using a conventional and a time-dependent Cox proportional hazards model. Restricted cubic spline models were fitted to investigate the relationship between continuous HbA1c levels and mortality among people without known diabetes. Subgroup analyses were performed for age, sex, smoking, hypertension, liver diseases, and red blood cell counts. Results During a median follow-up period of 15.7 years, there were 944 deaths, including 185 deaths from CVD, 359 from cancer, and 125 from all external causes. Compared with participants with HbA1c levels of 5.5–5.9%, multivariate-adjusted HRs and 95% confidence intervals for all-cause death of participants with levels < 5.0%, 5.0–5.4%, 6.0–6.4%, and ≥ 6.5% and participants with known diabetes were 1.84 (1.35–2.51), 1.13 (0.95–1.34), 1.30 (1.04–1.62), 1.37 (0.97–1.93), and 2.03 (1.70–2.44), respectively. The risk of cancer mortality was significantly increased in HbA1c < 5.0% (HR, 2.21; 95% CI 1.42–3.44) and known diabetes (HR, 1.60; 95% CI 1.18–2.15). When we performed diverse subgroup analyses, low HbA1c levels at baseline were strongly associated with mortality in participants with liver diseases. Conclusions We found U-shaped associations between HbA1c levels at baseline and over time and all-cause mortality in middle-aged and older Koreans. Additionally, the risk of cancer mortality increased both in low and high HbA1c groups, but CVD mortality increased only in high HbA1c group. In particular, people with liver diseases and low HbA1c levels had a high risk of all-cause mortality. Therefore, more careful management of these groups is suggested to identify any deteriorating health conditions. Graphical abstract ![]()
Supplementary Information The online version contains supplementary material available at 10.1186/s12986-022-00682-4.
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Affiliation(s)
- Bo Mi Song
- Division of Population Health Research, Department of Precision Medicine, Korea National Institute of Health, Korea Disease Control and Prevention Agency, Cheongju, Chungcheongbuk-do, South Korea
| | - Jung Hyun Lee
- Division of Population Health Research, Department of Precision Medicine, Korea National Institute of Health, Korea Disease Control and Prevention Agency, Cheongju, Chungcheongbuk-do, South Korea
| | - Hae Dong Woo
- Division of Population Health Research, Department of Precision Medicine, Korea National Institute of Health, Korea Disease Control and Prevention Agency, Cheongju, Chungcheongbuk-do, South Korea
| | - Mi Jin Cho
- Division of Population Health Research, Department of Precision Medicine, Korea National Institute of Health, Korea Disease Control and Prevention Agency, Cheongju, Chungcheongbuk-do, South Korea
| | - Sung Soo Kim
- Department of Chronic Disease Convergence Research, Korea National Institute of Health, Korea Disease Control and Prevention Agency, Cheongju, Chungcheongbuk-do, South Korea.
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Staimez LR, Kipling LM, Nina Ham J, Legvold BT, Jackson SL, Wilson PWF, Rhee MK, Phillips LS. Potential misclassification of diabetes and prediabetes in the U.S.: Mismatched HbA1c and glucose in NHANES 2005-2016. Diabetes Res Clin Pract 2022; 189:109935. [PMID: 35662612 PMCID: PMC10148706 DOI: 10.1016/j.diabres.2022.109935] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Revised: 05/13/2022] [Accepted: 05/27/2022] [Indexed: 11/28/2022]
Abstract
AIMS To assess the prevalence and clinical implications of "mismatches" between HbA1c and glucose levels in the United States across the life course. METHODS Participants ages 12-79 years from U.S. National Health and Nutrition Examination Survey (NHANES) 2005-2016 without known diagnosis of diabetes and who had a 75 g oral glucose tolerance test were included. Previously undiagnosed diabetes (DM), prediabetes, and normal glucose metabolism (NGM) were defined using American Diabetes Association cut-points. Mismatches were defined by the hemoglobin glycation index (HGI). RESULTS In 10,361 participants, 5% and 41% had diabetes and prediabetes, respectively, by fasting or 2-hour glucose criteria. By HbA1c criteria, the high HGI tertile consisted of mostly abnormal classification (3% DM, 52% prediabetes) and the low HGI tertile contained mostly normal classification (78% NGM). Across all ages, 15% (weighted: 30 million individuals) had clinically significant mismatches of HGI magnitude ≥+0.5% (i.e., high mismatch) or ≤-0.5% (low mismatch). Mismatch was most common in older adults and non-Hispanic Black participants. CONCLUSIONS Mismatches of clinically significant magnitude could lead to HbA1c-related misdiagnosis or inappropriate management in up to 30 million Americans. Older adults, non-Hispanic Black individuals, and others with high mismatches may benefit from complementing HbA1c with additional diagnostic and management strategies.
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Affiliation(s)
- Lisa R Staimez
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, 1518 Clifton Rd NE, Atlanta, GA 30322, USA.
| | - Lauren M Kipling
- Department of Epidemiology, Rollins School of Public Health, Emory University, 1518 Clifton Rd NE, Atlanta, GA 30322, USA
| | - J Nina Ham
- Division of Pediatric Endocrinology and Diabetes, Department of Pediatrics, Emory University School of Medicine, Emory University, 100 Woodruff Circle, Atlanta, GA 30322, USA; Children's Healthcare of Atlanta, Atlanta, GA, USA
| | - Brian T Legvold
- Department of Epidemiology, Rollins School of Public Health, Emory University, 1518 Clifton Rd NE, Atlanta, GA 30322, USA
| | - Sandra L Jackson
- Division for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, 4770 Buford Hwy NE, Atlanta, GA 30341, USA
| | - Peter W F Wilson
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, 1518 Clifton Rd NE, Atlanta, GA 30322, USA; Division of Cardiology, Department of Medicine, School of Medicine, Emory University, 100 Woodruff Circle, Atlanta, GA 30322, USA; Atlanta Veterans Affairs Health Care System, 1670 Clairmont Rd, Decatur, GA 30033, USA
| | - Mary K Rhee
- Atlanta Veterans Affairs Health Care System, 1670 Clairmont Rd, Decatur, GA 30033, USA; Division of Endocrinology and Metabolism, Department of Medicine, Emory University School of Medicine, Emory University, 100 Woodruff Circle, Atlanta, GA 30322, USA
| | - Lawrence S Phillips
- Atlanta Veterans Affairs Health Care System, 1670 Clairmont Rd, Decatur, GA 30033, USA; Division of Endocrinology and Metabolism, Department of Medicine, Emory University School of Medicine, Emory University, 100 Woodruff Circle, Atlanta, GA 30322, USA
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46
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Coetzee A, Hall DR, Conradie M. Hyperglycemia First Detected in Pregnancy in South Africa: Facts, Gaps, and Opportunities. FRONTIERS IN CLINICAL DIABETES AND HEALTHCARE 2022; 3:895743. [PMID: 36992779 PMCID: PMC10012101 DOI: 10.3389/fcdhc.2022.895743] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Accepted: 04/01/2022] [Indexed: 06/19/2023]
Abstract
This review contextualizes hyperglycemia in pregnancy from a South-African perspective. It aims to create awareness of the importance of hyperglycemia in pregnancy in low-middle-income countries. We address unanswered questions to guide future research on sub-Saharan African women with hyperglycemia first detected in pregnancy (HFDP). South African women of childbearing age have the highest prevalence of obesity in sub-Saharan Africa. They are predisposed to Type 2 diabetes (T2DM), the leading cause of death in South African women. T2DM remains undiagnosed in many African countries, with two-thirds of people living with diabetes unaware. With the South African health policy's increased focus on improving antenatal care, women often gain access to screening for non-communicable diseases for the first time in pregnancy. While screening practices and diagnostic criteria for gestational diabetes mellitus (GDM) differ amongst geographical areas in South Africa (SA), hyperglycemia of varying degrees is often first detected in pregnancy. This is often erroneously ascribed to GDM, irrespective of the degree of hyperglycemia and not overt diabetes. T2DM and GDM convey a graded increased risk for the mother and fetus during and after pregnancy, with cardiometabolic risk accumulating across the lifespan. Resource limitations and high patient burden have hampered the opportunity to implement accessible preventative care in young women at increased risk of developing T2DM in the broader public health system in SA. All women with HFDP, including those with true GDM, should be followed and undergo glucose assessment postpartum. In SA, studies conducted early postpartum have noted persistent hyperglycemia in a third of women after GDM. Interpregnancy care is advantageous and may attain a favourable metabolic legacy in these young women, but the yield of return following delivery is suboptimal. We review the current best evidence regarding HFDP and contextualize the applicability in SA and other African or low-middle-income countries. The review identifies gaps and shares pragmatic solutions regarding clinical factors that may improve awareness, identification, diagnosis, and management of women with HFDP.
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Affiliation(s)
- Ankia Coetzee
- Department of Medicine, Division of Endocrinology Stellenbosch University and Tygerberg Hospital, Cape Town, South Africa
| | - David R. Hall
- Department of Obstetrics and Gynecology, Stellenbosch University and Tygerberg Hospital, Cape Town, South Africa
| | - Magda Conradie
- Department of Medicine, Division of Endocrinology Stellenbosch University and Tygerberg Hospital, Cape Town, South Africa
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Chen Z, Li D, Lin M, Jiang H, Xu T, Shan Y, Fu G, Wang M, Zhang W. Association of Hemoglobin Glycation Index With Contrast-Induced Acute Kidney Injury in Patients Undergoing Coronary Angiography: A Retrospective Study. Front Physiol 2022; 13:870694. [PMID: 35669583 PMCID: PMC9163394 DOI: 10.3389/fphys.2022.870694] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Accepted: 04/18/2022] [Indexed: 11/13/2022] Open
Abstract
Background: The hemoglobin glycation index (HGI) quantifies interindividual variation in glycation and is positively associated with cardiovascular diseases. However, the association between HGI and contrast-induced acute kidney injury (CI-AKI) remains unclear. Therefore, this study aimed to assess the association of HGI with CI-AKI. Methods: In this observational study, a total of 3,142 patients undergoing coronary angiography (CAG) or percutaneous coronary intervention (PCI) were included. The HGI was calculated as the difference between the measured glycated hemoglobin (HbA1c) and predicted HbA1c. CI-AKI was defined as an increase of either 25% or 0.5 mg/dl (44.2 μmol/L) in the serum creatinine (SCr) level within 72 h following the exposure to contrast medium. Piecewise linear regression analysis was conducted to testify the association of HGI with the proportion of SCr elevation. Modified Poisson’s regression analysis was performed to determine the association between HGI and CI-AKI. Exploratory analysis was also performed according to the stratification of HbA1c levels. Results: Among 3,142 patients, the average age was 66.9 years and 483 of them (15.4%) suffered CI-AKI. Piecewise linear regression analysis demonstrated the linear association of HGI with the proportion of SCr elevation on both positive and negative sides of HGI [HGI <0: β = −9.537, 95% CI (−12.057 to −7.017), p < 0.001; HGI ≥0: β = 1.655, 95% CI (0.125 to 3.186), p = 0.034]. Modified Poisson’s regression analysis showed that the higher absolute value of HGI was strongly associated with higher incidence of CI-AKI [(<−1.0 vs. −0.2 to 0.2): aRR = 1.897, 95% CI [1.467 to 2.452], p < 0.001 (≥1.0 vs. −0.2 to 0.2): aRR = 1.545, 95% CI (1.171 to 2.037), p = 0.002]. Furthermore, the results in exploratory analysis showed that such association still remained irrespective of HbA1c levels. Conclusion: The higher absolute value of HGI was strongly associated with higher incidence of CI-AKI in patients undergoing CAG and PCI.
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Affiliation(s)
- Zhezhe Chen
- Department of Cardiology, Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, Hangzhou, China
- Key Laboratory of Cardiovascular Intervention and Regenerative Medicine of Zhejiang Province, Hangzhou, China
| | - Duanbin Li
- Department of Cardiology, Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, Hangzhou, China
- Key Laboratory of Cardiovascular Intervention and Regenerative Medicine of Zhejiang Province, Hangzhou, China
| | - Maoning Lin
- Department of Cardiology, Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, Hangzhou, China
- Key Laboratory of Cardiovascular Intervention and Regenerative Medicine of Zhejiang Province, Hangzhou, China
| | - Hangpan Jiang
- Department of Cardiology, The Fourth Affiliated Hospital, College of Medicine, Zhejiang University, Yiwu, China
| | - Tian Xu
- Department of Cardiology, Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, Hangzhou, China
- Key Laboratory of Cardiovascular Intervention and Regenerative Medicine of Zhejiang Province, Hangzhou, China
| | - Yu Shan
- Department of Cardiology, Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, Hangzhou, China
- Key Laboratory of Cardiovascular Intervention and Regenerative Medicine of Zhejiang Province, Hangzhou, China
| | - Guosheng Fu
- Department of Cardiology, Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, Hangzhou, China
- Key Laboratory of Cardiovascular Intervention and Regenerative Medicine of Zhejiang Province, Hangzhou, China
| | - Min Wang
- Department of Cardiology, Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, Hangzhou, China
- Key Laboratory of Cardiovascular Intervention and Regenerative Medicine of Zhejiang Province, Hangzhou, China
- *Correspondence: Min Wang, ; Wenbin Zhang,
| | - Wenbin Zhang
- Department of Cardiology, Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, Hangzhou, China
- Key Laboratory of Cardiovascular Intervention and Regenerative Medicine of Zhejiang Province, Hangzhou, China
- *Correspondence: Min Wang, ; Wenbin Zhang,
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48
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Deng F, Mahmoodi B, Chan CB. Effectiveness and Acceptability of a Nutrition Intervention Targeting Chinese Adult Immigrants With Type 2 Diabetes in Canada: A Study Using Mixed Methods Analysis. Can J Diabetes 2022; 46:S1499-2671(22)00090-9. [PMID: 35927169 DOI: 10.1016/j.jcjd.2022.04.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Revised: 04/14/2022] [Accepted: 04/19/2022] [Indexed: 10/18/2022]
Abstract
OBJECTIVES Although culturally tailored diabetes treatment is recommended, there is a lack of relevant dietary resources for the Chinese population in Canada. In this study we assessed the feasibility and efficacy of a culturally tailored menu plan combined with nutrition education on clinical outcomes, diet quality and qualitative outcomes among Chinese immigrants with type 2 diabetes. METHODS Participants were 17 Chinese immigrants living with type 2 diabetes in Edmonton, Alberta, Canada. The design was a 12-week, single-arm intervention that included weekly nutrition education supported by a culturally tailored menu plan with mixed methods evaluation. Diet quality, clinical and other outcomes were assessed pre- and postintervention. One-on-one interviews were conducted postintervention to identify program feasibility and obstacles to adherence. RESULTS Waist circumference (mean ± standard deviation: -2.0±2.5 cm; p=0.004), total cholesterol (-21.4±28.2 mg/dL; p=0.007) and low-density lipoprotein cholesterol (-18.4±24.6 mg/dL; p=0.007) were decreased when compared with baseline. No significant change was detected in glycated hemoglobin. Postintervention, the Healthy Eating Index (p=0.01) and diabetes knowledge score (p=0.009) also increased. Participants reported that the program was culturally acceptable, easily understood and feasible to implement. Participants indicated the program helped them to improve their diabetes knowledge, adhere to the dietary guidelines, choose low glycemic index food and read food labels when shopping. CONCLUSIONS A flexible, culturally tailored menu plan was a feasible and effective tool for improving diabetes knowledge, diet quality and metabolic outcomes among Chinese immigrants with type 2 diabetes.
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Affiliation(s)
- Feiyue Deng
- Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada
| | - Behnaz Mahmoodi
- Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada
| | - Catherine B Chan
- Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada; Department of Physiology, University of Alberta, Edmonton, Alberta, Canada.
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49
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What is the optimal anthropometric index/ratio associated with two key measures of cardio-metabolic risk associated with hypertension and diabetes? Int J Obes (Lond) 2022; 46:1304-1310. [PMID: 35379906 DOI: 10.1038/s41366-022-01113-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2021] [Revised: 03/16/2022] [Accepted: 03/17/2022] [Indexed: 11/08/2022]
Abstract
BACKGROUND Few studies have investigated the optimal anthropometric index associated with potential cardio-metabolic risk. Using direct measures of standing height, body mass, and waist circumference, we sought to identify the optimal index for detecting cardio-metabolic risk associated with diabetes and hypertension in a nationally representative sample of US adults. METHODS Complete (non-missing) cross-sectional data from 8375 US adults aged 18-80+ years were obtained from the 2015-16 and 2017-March 2020 (pre-pandemic) cycles of the National Health and Nutrition Examination Survey. The cardio-metabolic risk was identified using blood pressure and glycohemoglobin (A1c). Allometric models were used to identify the optimal anthropometric indices associated with cardio-metabolic risk. Receiver operating characteristics curves were used to verify the discriminatory ability of the identified index in comparison with other anthropometric measures. RESULTS The optimal anthropometric index associated with cardio-metabolic risk was waist circumference divided by body mass to the power of 0.333 (WC/M0.333). The ability for this new index to discriminate those with diabetes (area under the ROC curve: 0.73 [95%CI: 0.71-0.74]) and hypertension (area under the curve: 0.70 [95%CI: 0.69-0.72]) was superior to all other anthropometric measure/indices investigated in this study (body mass index, waist circumference, waist-to-height ratio, and waist/height0.5). CONCLUSIONS We identified WC/M0.333 as the optimal anthropometric index for identifying US adults with hypertension and diabetes. Instead of using body mass index (kg/m2), we recommend using WC/M0.333 in clinical and public health practice to better identify US adults at potential cardio-metabolic risk associated with hypertension and diabetes.
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50
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Naseri S, Brewster RCL, Blumenthal PD. Novel use of menstrual blood for monitoring glycaemic control in patients with diabetes: a proof-of-concept study. BMJ SEXUAL & REPRODUCTIVE HEALTH 2022; 48:123-127. [PMID: 34759003 DOI: 10.1136/bmjsrh-2021-201211] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/31/2021] [Accepted: 10/24/2021] [Indexed: 06/13/2023]
Abstract
BACKGROUND Glycated haemoglobin (HbA1c) is the diagnostic and prognostic standard for clinical management of diabetes mellitus (DM). Unfortunately, patient adherence to guidelines for routine testing can be poor and there are significant gender-based disparities in DM management and outcomes. Recent evidence suggests that menstrual blood may be comparable to systemic blood for monitoring of common biomarkers. The objective of the present study was to assess the concordance of HbA1c levels between menstrual and systemic blood in healthy women and women with diabetes of reproductive age. METHODS In this prospective, observational cohort study, we enrolled healthy and diabetic (type 1 and type 2 DM) reproductive-age women (aged ≥18 and ≤45 years). Menstrual blood and venous systemic blood specimens were simultaneously obtained at time of menstruation, and analysed for HbA1c levels. Participants self-collected menstrual blood using a QPad, a novel, modified menstrual pad with an embedded dried blood spot strip. RESULTS Among 172 participants, 57.6% were healthy and 42.4% had a diagnosis of either type 1 or type 2 DM. There were no significant differences in mean HbA1c values in menstrual and systemic blood across the overall cohort or within the diabetic subgroup. Furthermore, HbA1c levels between blood sources were robustly correlated and demonstrated a significant linear relationship. CONCLUSIONS There is a strong concordance in HbA1c levels between menstrual and systemic blood. Empowered by self-collection technologies, these findings suggest that menstrual blood may serve as a reliable, non-invasive and potentially cost-effective alternative to serum for HbA1c monitoring among reproductive-age women with DM.
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Affiliation(s)
- Sara Naseri
- Obstetrics and Gynecology, Stanford University, Stanford, California, USA
| | | | - Paul D Blumenthal
- Obstetrics and Gynecology, Stanford University, Stanford, California, USA
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