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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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Atella V, Belotti F, Giaccherini M, Medea G, Piano Mortari A, Sbraccia P, Nicolucci A. The interplay between excess weight and hyper-glycemia on NCDs in Italy: results from a cross-sectional study. Acta Diabetol 2024:10.1007/s00592-024-02296-z. [PMID: 38739296 DOI: 10.1007/s00592-024-02296-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Accepted: 04/21/2024] [Indexed: 05/14/2024]
Abstract
PURPOSE To evaluate the prevalence of chronic comorbidities according to BMI classes and assess the interplay between excess body weight and blood glucose abnormalities in increasing the risk of major chronic diseases. METHODS The study is based on data from the Health Search/IQVIA Health LPD Longitudinal Patient Database, an Italian general practice registry, with data obtained from electronic clinical records of 800 general practitioners throughout Italy. Data relative to the year 2018 were analyzed. The study population was classified according to BMI (normal weight, overweight, and obesity classes 1, 2 and 3) and glucose metabolism status (normoglycemia-NGT; impaired fasting glucose-IFG; diabetes mellitus-DM). Comorbidities were identified through ICD-9 CM codes. RESULTS Data relative to 991,917 adults were analyzed. The prevalence of overweight was 39.4%, while the prevalence of obesity was 11.1% (class 1: 7.9%, class 2: 2.3%, class 3: 0.9%). In the whole population, the prevalence of DM and IFG was 8.9% and 4.2%, respectively. Both overweight and obesity were associated with an increasing prevalence of glucose metabolism alterations and a large array of different chronic conditions, including cardio-cerebrovascular diseases, heart failure, chronic kidney disease, osteoarticular diseases, depression, sleep apnea, and neoplasms of the gastrointestinal tract. Within each BMI class, the presence of IFG, and to a greater extent DM, identified subgroups of individuals with a marked increase in the risk of concomitant chronic conditions. CONCLUSION Addressing the double burden of excess weight and hyperglycemia represents an important challenge and a healthcare priority.
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Affiliation(s)
- Vincenzo Atella
- Department of Economics and Finance, University of Rome Tor Vergata, Rome, Italy
- CEIS Tor Vergata, University of Rome Tor Vergata, Rome, Italy
| | - Federico Belotti
- Department of Economics and Finance, University of Rome Tor Vergata, Rome, Italy
- CEIS Tor Vergata, University of Rome Tor Vergata, Rome, Italy
| | | | - Gerardo Medea
- Italian College of General Practitioners, Florence, Italy
| | | | - Paolo Sbraccia
- Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy
| | - Antonio Nicolucci
- Center for Outcomes Research and Clinical Epidemiology-CORESEARCH, Corso Umberto I, 103, 65122, Pescara, Italy.
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Sasaki N, Maeda R, Ozono R, Yoshimura K, Nakano Y, Higashi Y. Differences in the impact of newly diagnosed type 2 diabetes on cardiovascular mortality between normotensive and hypertensive individuals. J Hypertens 2024; 42:610-619. [PMID: 38441184 DOI: 10.1097/hjh.0000000000003671] [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: 03/07/2024]
Abstract
OBJECTIVE We investigated the interrelationship between hyperglycemia and hypertension on cardiovascular mortality in the middle-aged and elderly people. METHODS In this retrospective cohort study that used data from the Hiroshima Study on Glucose Metabolism and Cardiovascular Diseases, we included 16,564 participants without cardiovascular disease (mean age: 65.8 years; 6179 normoglycemic people, 3017 people with newly diagnosed type 2 diabetes, and 7368 people with prediabetes per the 75-g oral glucose tolerance test). Hypertension was defined as the use of antihypertensive medications and/or having a systolic/diastolic blood pressure of at least 140/90 mm Hg. RESULTS During a median follow-up period of 12.4 years, a total of 1513 cardiovascular death occurred. Cardiovascular death rates per 1000 participant-years were 4.01, 4.98, 8.33, 8.22, 8.81, and 11.1 among normotensive participants with normal glycemia, prediabetes, and diabetes and hypertensive participants with normal glycemia, prediabetes, and diabetes, respectively. Prediabetes was significantly associated with a high risk of cardiovascular mortality in normotensive individuals [hazard ratio: 1.24, 95% confidence interval (95% CI): 1.02-1.50] but not in hypertensive individuals. Type 2 diabetes was associated with a high risk of cardiovascular mortality in both normotensive (hazard ratio: 1.94, 95% CI: 1.55-2.43) and hypertensive individuals (hazard ratio: 1.35, 95% CI: 1.13-1.62). Stratified analyses revealed no significant impact of type 2 diabetes on cardiovascular mortality in hypertensive individuals aged at least 65 years. CONCLUSION The effect of hyperglycemia on cardiovascular death differed with age and the presence or absence of hypertension, demonstrating the clinical importance of case-specific risk assessments.
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Affiliation(s)
- Nobuo Sasaki
- Health Management and Promotion Center, Hiroshima Atomic Bomb Casualty Council
- Department of Regenerative Medicine, Research Institute for Radiation Biology and Medicine, Hiroshima University
| | - Ryo Maeda
- Health Management and Promotion Center, Hiroshima Atomic Bomb Casualty Council
| | - Ryoji Ozono
- Department of General Medicine, Hiroshima University Graduate School of Biomedical and Health Sciences
| | - Kenichi Yoshimura
- Department of Biostatistics, Medical Center for Translational and Clinical Research, Hiroshima University Hospital
| | - Yukiko Nakano
- Department of Cardiovascular Medicine, Hiroshima University Graduate School of Biomedical and Health Sciences, Hiroshima, Japan
| | - Yukihito Higashi
- Department of Regenerative Medicine, Research Institute for Radiation Biology and Medicine, Hiroshima University
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Qiu S, Cai X, Zhou X, Xu J, Sun Z, Guo H, Wu T. Muscle Quality in Relation to Prediabetes Phenotypes: A Population-Based Study With Mediation Analysis. J Clin Endocrinol Metab 2024; 109:e1151-e1158. [PMID: 37878955 DOI: 10.1210/clinem/dgad630] [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: 07/03/2023] [Revised: 10/05/2023] [Accepted: 10/20/2023] [Indexed: 10/27/2023]
Abstract
CONTEXT Prediabetes is associated with an increased risk of physical disability, yet no studies have assessed the extent to which muscle quality, a measure reflecting muscle functionality, was altered in prediabetes and its specific phenotype. OBJECTIVE We evaluated their associations in a general US population with mediation analysis. METHODS This was a cross-sectional study based on the National Health and Nutrition Examination Survey 2011-2014. Participants with prediabetes were stratified as having an isolated defect (impaired fasting glucose [IFG], impaired glucose tolerance [IGT], or impaired hemoglobin A1c [IA1c]), 2 defects (IFG + IGT, IFG + IA1c, or IGT + IA1c), or all defects (IFG + IGT + IA1c). Muscle quality was calculated as dominant grip strength divided by dominant arm muscle mass measured by dual-energy X-ray absorptiometry. RESULTS We included 2351 participants (938 with prediabetes and 1413 with normoglycemia). Despite higher grip strength and larger arm muscle mass, arm muscle quality was lower in prediabetes and all prediabetes phenotypes (except for IGT) than normoglycemia (all P < .04), and was unrelated to prediabetes awareness. Arm muscle quality was decreased and the odds of low arm muscle quality was increased in prediabetes with increasing numbers of glucometabolic defects (both P < .001), with insulin resistance being the predominant mediator. HbA1c-defined prediabetes (IA1c) had lower arm muscle quality and higher odds of low arm muscle quality than blood glucose-defined prediabetes (IFG, IGT, or IFG + IGT). CONCLUSION Muscle quality was impaired in prediabetes and its specific phenotype. Relative to blood glucose, elevated HbA1c might be a better predictor of reduced muscle quality.
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Affiliation(s)
- Shanhu Qiu
- Department of General Practice, Zhongda Hospital, Institute of Diabetes, School of Medicine, Southeast University, Nanjing 210009, China
- Research and Education Centre of General Practice, Zhongda Hospital, Southeast University, Nanjing 210009, China
| | - Xue Cai
- Department of Nursing Management, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210009, China
| | - Xiaoying Zhou
- Department of Endocrinology, Zhongda Hospital, Institute of Diabetes, School of Medicine, Southeast University, Nanjing 210009, China
| | - Jinshui Xu
- Department of Integrated Services, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210000, China
| | - Zilin Sun
- Department of Endocrinology, Zhongda Hospital, Institute of Diabetes, School of Medicine, Southeast University, Nanjing 210009, China
| | - Haijian Guo
- Department of Integrated Services, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210000, China
| | - Tongzhi Wu
- Adelaide Medical School and Centre of Research Excellence (CRE) in Translating Nutritional Science to Good Health, The University of Adelaide, Adelaide 5000, Australia
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Yue L, Tian Y, Ma M, Jing L, Sun Q, Shi L, Sun J, Wang W, Li G, Xing L, Liu S. Prevalence of prediabetes and risk of CVD mortality in individuals with prediabetes alone or plus hypertension in Northeast China: insight from a population based cohort study. BMC Public Health 2024; 24:475. [PMID: 38360567 PMCID: PMC10868051 DOI: 10.1186/s12889-024-17996-y] [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: 06/12/2023] [Accepted: 02/05/2024] [Indexed: 02/17/2024] Open
Abstract
BACKGROUND To evaluate the current prevalence of prediabetes in northeast China, and further determine the association between prediabetes alone or coexistent with hypertension and cardiovascular disease (CVD) mortality. METHODS In the prospective study, 15,557 participants without diabetes among aged ≥40 years in northeast China, were followed for a median of 5.5 years. Following the American Diabetes Association, prediabetes was defined as fasting plasma glucose (FPG) range of 5.6-6.9 mmol/L or glycated hemoglobin (HbA1c) range of 5.7-6.4% in people without diabetes. RESULTS The prevalence of prediabetes was 44.3% among population aged ≥40 years in northeast China. Prediabetes alone did not promote risk of CVD mortality. However, when the subgroups were stratified by hypertension, the CVD mortality risk in prediabetes plus hypertension subjects increased significantly compared with population without prediabetes and hypertension. Multivariate-adjusted hazard ratios for CVD mortality in prediabetes subgroups plus hypertension were 2.28 (95% CI: 1.50, 3.47) for those diagnosed by FPG < 5.6 mmol/L & HbA1c 5.7-6.4%, 2.18 (95% CI: 1.53, 3.10) for those diagnosed by FPG 5.6-6.0 mmol/L & HbA1c < 6.5% and 2.35 (95% CI: 1.65, 3.35) for those diagnosed by FPG 6.1-6.9 & HbA1c < 6.5% compared with the reference group. Moreover, the percentage of hypertension in prediabetes subjects was high (60.4%), but the awareness, treatment and control rates were far from satisfactory (45.3, 35.1 and 4.8%, respectively). CONCLUSIONS The prevalence of prediabetes remains high in northeast China, and the CVD mortality was elevated significantly in prediabetes coexistent with hypertension. Considering the high percentage and low control rate of hypertension in prediabetes, strategies focused on HbA1c screening, FPG lowering and blood pressure management should be emphasized in northeast China.
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Affiliation(s)
- Ling Yue
- Department of Ultrasound, The Fourth Hospital of China Medical University, Shenyang, Liaoning, China
| | - Yuanmeng Tian
- Institute of Preventive Medicine, China Medical University, Shenyang, Liaoning, China
- Department of Chronic Disease Preventive and Control, Liaoning Provincial Center for Disease Control and Prevention, Shenyang, Liaoning, China
| | - Mingxi Ma
- Department of Ultrasound, The Fourth Hospital of China Medical University, Shenyang, Liaoning, China
| | - Li Jing
- Institute of Preventive Medicine, China Medical University, Shenyang, Liaoning, China
- Department of Chronic Disease Preventive and Control, Liaoning Provincial Center for Disease Control and Prevention, Shenyang, Liaoning, China
| | - Qun Sun
- Department of Chronic Disease, Disease Control and Prevention of Chao Yang City, Chaoyang, Liaoning, China
| | - Lei Shi
- Department of Chronic Disease, Disease Control and Prevention of Liao Yang City, Liaoyang, Liaoning, China
| | - Jixu Sun
- Department of Chronic Disease, Disease Control and Prevention of Dan Dong City, Dandong, Liaoning, China
| | - Weizhong Wang
- Department of Neurology, Central Hospital of Dan Dong City, Dandong, Liaoning, China
| | - Guangxiao Li
- Department of Medical Record Management Center, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China
| | - Liying Xing
- Institute of Preventive Medicine, China Medical University, Shenyang, Liaoning, China.
- Department of Chronic Disease Preventive and Control, Liaoning Provincial Center for Disease Control and Prevention, Shenyang, Liaoning, China.
| | - Shuang Liu
- Department of Ultrasound, The Fourth Hospital of China Medical University, Shenyang, Liaoning, China.
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Slama L, Barrett BW, Abraham AG, Palella FJ, Magnani JW, Viard JP, Lake JE, Brown TT. Incident Proteinuria differs by HIV Serostatus among Men with Pre-diabetes: The Multicenter AIDS Cohort Study. Clin Infect Dis 2024:ciae065. [PMID: 38335094 DOI: 10.1093/cid/ciae065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Revised: 01/12/2024] [Accepted: 01/30/2024] [Indexed: 02/12/2024] Open
Abstract
BACKGROUND Pre-diabetes is associated with proteinuria, a risk factor for chronic kidney disease. While people living with HIV (PWH) have a higher risk of proteinuria than people without HIV (PWOH), it is unknown whether incident proteinuria differs by HIV serostatus among pre-diabetic persons. METHODS Urine protein-to-creatinine ratio (PCR) was measured at semi-annual visits among men in the Multicenter AIDS Cohort Study since April 2006. Men with pre-DM on or after April 2006 and no prevalent proteinuria or use of anti-diabetic medications were included. Pre-diabetes was defined as fasting glucose (FG) of 100-125 mg/dL confirmed within a year by a repeat FG or hemoglobin A1c 5.7-6.4%. Incident proteinuria was defined as PCR > 200 mg/g, confirmed within a year. We used Poisson regression models to determine whether incident proteinuria in participants with pre-diabetes differed by HIV serostatus and, among PWH, whether HIV-specific factors were related to incident proteinuria. RESULTS Between 2006 and 2019, among 1276 men with pre-diabetes, 128/613 PWH (21%) and 50/663 PWOH (8%) developed proteinuria over a median 10-year follow-up. After multivariable adjustment, the incidence of proteinuria in PWH with pre-diabetes was 3.3 times [95% CI: 2.3-4.8 times] greater than in PWOH (p < 0.01). Among PWH, current CD4 count <500 cells/mm3 (p < 0.01) and current use of protease inhibitors (p = 0.03) were associated with incident proteinuria, while lamivudine and integrase inhibitor use were associated with a lower risk. CONCLUSION Among men with pre-DM, the risk of incident proteinuria was 3 times higher in PWH. Strategies to preserve renal function are needed in this population.
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Affiliation(s)
- Laurence Slama
- APHP, Hotel-Dieu Hospital, Infectious diseases Unit, Paris, France
- University Paris Cité and University Sorbonne Paris Nord, Inserm, INRAE, Center for Research in Epidemiology and StatisticS (CRESS), Paris, France
- Feinberg School of Medicine, Northwestern University Chicago, IL, USA
| | | | | | - Frank J Palella
- Feinberg School of Medicine, Northwestern University Chicago, IL, USA
| | - Jared W Magnani
- University of Pittsburgh, School of Medicine, Pittsburgh, PA., USA
| | - Jean Paul Viard
- APHP, Hotel-Dieu Hospital, Infectious diseases Unit, Paris, France
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Ungvari Z, Tabák AG, Adany R, Purebl G, Kaposvári C, Fazekas-Pongor V, Csípő T, Szarvas Z, Horváth K, Mukli P, Balog P, Bodizs R, Ujma P, Stauder A, Belsky DW, Kovács I, Yabluchanskiy A, Maier AB, Moizs M, Östlin P, Yon Y, Varga P, Vokó Z, Papp M, Takács I, Vásárhelyi B, Torzsa P, Ferdinandy P, Csiszar A, Benyó Z, Szabó AJ, Dörnyei G, Kivimäki M, Kellermayer M, Merkely B. The Semmelweis Study: a longitudinal occupational cohort study within the framework of the Semmelweis Caring University Model Program for supporting healthy aging. GeroScience 2024; 46:191-218. [PMID: 38060158 PMCID: PMC10828351 DOI: 10.1007/s11357-023-01018-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Accepted: 11/11/2023] [Indexed: 12/08/2023] Open
Abstract
The Semmelweis Study is a prospective occupational cohort study that seeks to enroll all employees of Semmelweis University (Budapest, Hungary) aged 25 years and older, with a population of 8866 people, 70.5% of whom are women. The study builds on the successful experiences of the Whitehall II study and aims to investigate the complex relationships between lifestyle, environmental, and occupational risk factors, and the development and progression of chronic age-associated diseases. An important goal of the Semmelweis Study is to identify groups of people who are aging unsuccessfully and therefore have an increased risk of developing age-associated diseases. To achieve this, the study takes a multidisciplinary approach, collecting economic, social, psychological, cognitive, health, and biological data. The Semmelweis Study comprises a baseline data collection with open healthcare data linkage, followed by repeated data collection waves every 5 years. Data are collected through computer-assisted self-completed questionnaires, followed by a physical health examination, physiological measurements, and the assessment of biomarkers. This article provides a comprehensive overview of the Semmelweis Study, including its origin, context, objectives, design, relevance, and expected contributions.
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Affiliation(s)
- Zoltan Ungvari
- International Training Program in Geroscience/Healthy Aging Program, Doctoral School of Basic and Translational Medicine/Department of Public Health, Semmelweis University, Budapest, Hungary.
- Vascular Cognitive Impairment, Neurodegeneration and Healthy Brain Aging Program, Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.
- Department of Health Promotion Sciences, The Hudson College of Public Health, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.
| | - Adam G Tabák
- International Training Program in Geroscience/Healthy Aging Program, Doctoral School of Basic and Translational Medicine/Department of Public Health, Semmelweis University, Budapest, Hungary
- Department of Public Health, Faculty of Medicine, Semmelweis University, Budapest, Hungary
- UCL Brain Sciences, University College London, London, UK
- Department of Internal Medicine and Oncology, Semmelweis University, Faculty of Medicine, Budapest, Hungary
| | - Roza Adany
- International Training Program in Geroscience/Healthy Aging Program, Doctoral School of Basic and Translational Medicine/Department of Public Health, Semmelweis University, Budapest, Hungary
- Department of Public Health, Faculty of Medicine, Semmelweis University, Budapest, Hungary
- HUN-REN-UD Public Health Research Group, Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
| | - György Purebl
- Institute of Behavioral Sciences, Faculty of Medicine, Semmelweis University, Budapest, Hungary
| | - Csilla Kaposvári
- Department of Public Health, Faculty of Medicine, Semmelweis University, Budapest, Hungary
| | - Vince Fazekas-Pongor
- Department of Public Health, Faculty of Medicine, Semmelweis University, Budapest, Hungary
| | - Tamás Csípő
- International Training Program in Geroscience/Healthy Aging Program, Doctoral School of Basic and Translational Medicine/Department of Public Health, Semmelweis University, Budapest, Hungary
- Department of Public Health, Faculty of Medicine, Semmelweis University, Budapest, Hungary
| | - Zsófia Szarvas
- International Training Program in Geroscience/Healthy Aging Program, Doctoral School of Basic and Translational Medicine/Department of Public Health, Semmelweis University, Budapest, Hungary
- Vascular Cognitive Impairment, Neurodegeneration and Healthy Brain Aging Program, Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Department of Health Promotion Sciences, The Hudson College of Public Health, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Department of Public Health, Faculty of Medicine, Semmelweis University, Budapest, Hungary
| | - Krisztián Horváth
- Department of Public Health, Faculty of Medicine, Semmelweis University, Budapest, Hungary
| | - Peter Mukli
- International Training Program in Geroscience/Healthy Aging Program, Doctoral School of Basic and Translational Medicine/Department of Public Health, Semmelweis University, Budapest, Hungary
- Vascular Cognitive Impairment, Neurodegeneration and Healthy Brain Aging Program, Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Department of Public Health, Faculty of Medicine, Semmelweis University, Budapest, Hungary
| | - Piroska Balog
- Institute of Behavioral Sciences, Faculty of Medicine, Semmelweis University, Budapest, Hungary
| | - Robert Bodizs
- Institute of Behavioral Sciences, Faculty of Medicine, Semmelweis University, Budapest, Hungary
| | - Peter Ujma
- Institute of Behavioral Sciences, Faculty of Medicine, Semmelweis University, Budapest, Hungary
| | - Adrienne Stauder
- Institute of Behavioral Sciences, Faculty of Medicine, Semmelweis University, Budapest, Hungary
| | - Daniel W Belsky
- Robert N. Butler Columbia Aging Center, Columbia University, New York, NY, USA
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA
| | - Illés Kovács
- Department of Ophthalmology, Faculty of Medicine, Semmelweis University, Budapest, Hungary
- Department of Ophthalmology, Weill Cornell Medical College, New York City, NY, USA
- Department of Clinical Ophthalmology, Faculty of Health Sciences, Semmelweis University, Budapest, Hungary
| | - Andriy Yabluchanskiy
- Vascular Cognitive Impairment, Neurodegeneration and Healthy Brain Aging Program, Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Department of Health Promotion Sciences, The Hudson College of Public Health, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Andrea B Maier
- Healthy Longevity Translational Research Program, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Centre for Healthy Longevity, National University Health System, Singapore, Singapore
- Department of Human Movement Sciences, @AgeAmsterdam, Vrije Universiteit, Amsterdam Movement Sciences, Amsterdam, The Netherlands
| | - Mariann Moizs
- Department of Public Health, Faculty of Medicine, Semmelweis University, Budapest, Hungary
- Ministry of Interior of Hungary, Budapest, Hungary
| | | | - Yongjie Yon
- WHO Regional Office for Europe, Copenhagen, Denmark
| | - Péter Varga
- Department of Public Health, Faculty of Medicine, Semmelweis University, Budapest, Hungary
- Clinical Center, Semmelweis University, Budapest, Hungary
| | - Zoltán Vokó
- Center for Health Technology Assessment, Semmelweis University, Budapest, Hungary
| | - Magor Papp
- Department of Public Health, Faculty of Medicine, Semmelweis University, Budapest, Hungary
| | - István Takács
- UCL Brain Sciences, University College London, London, UK
| | - Barna Vásárhelyi
- Department of Laboratory Medicine, Faculty of Medicine, Semmelweis University, Budapest, Hungary
| | - Péter Torzsa
- Department of Family Medicine, Faculty of Medicine, Semmelweis University, Budapest, Hungary
| | - Péter Ferdinandy
- Department of Pharmacology and Pharmacotherapy, Faculty of Medicine, Semmelweis University, Budapest, Hungary
| | - Anna Csiszar
- Vascular Cognitive Impairment, Neurodegeneration and Healthy Brain Aging Program, Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Department of Health Promotion Sciences, The Hudson College of Public Health, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Zoltán Benyó
- Department of Translational Medicine, Faculty of Medicine, Semmelweis University, Budapest, Hungary
- HUN-REN-SU Cerebrovascular and Neurocognitive Diseases Research Group, Budapest, Hungary
| | - Attila J Szabó
- First Department of Pediatrics, Faculty of Medicine, Semmelweis University, Budapest, Hungary
- HUN-REN-SU Pediatrics and Nephrology Research Group, Semmelweis University, Budapest, Hungary
| | - Gabriella Dörnyei
- Department of Morphology and Physiology, Faculty of Health Sciences, Semmelweis University, Budapest, Hungary
| | - Mika Kivimäki
- UCL Brain Sciences, University College London, London, UK
| | - Miklos Kellermayer
- Department of Biophysics and Radiation Biology, Faculty of Medicine, Semmelweis University, Budapest, Hungary
| | - Bela Merkely
- Heart and Vascular Center, Semmelweis University, Budapest, Hungary
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Negm A, Stobbe K, Ben Fradj S, Sanchez C, Landra-Willm A, Richter M, Fleuriot L, Debayle D, Deval E, Lingueglia E, Rovere C, Noel J. Acid-sensing ion channel 3 mediates pain hypersensitivity associated with high-fat diet consumption in mice. Pain 2024; 165:470-486. [PMID: 37733484 DOI: 10.1097/j.pain.0000000000003030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Accepted: 07/07/2023] [Indexed: 09/23/2023]
Abstract
ABSTRACT Lipid-rich diet is the major cause of obesity, affecting 13% of the worldwide adult population. Obesity is a major risk factor for metabolic syndrome that includes hyperlipidemia and diabetes mellitus. The early phases of metabolic syndrome are often associated with hyperexcitability of peripheral small diameter sensory fibers and painful diabetic neuropathy. Here, we investigated the effect of high-fat diet-induced obesity on the activity of dorsal root ganglion (DRG) sensory neurons and pain perception. We deciphered the underlying cellular mechanisms involving the acid-sensing ion channel 3 (ASIC3). We show that mice made obese through consuming high-fat diet developed the metabolic syndrome and prediabetes that was associated with heat pain hypersensitivity, whereas mechanical sensitivity was not affected. Concurrently, the slow conducting C fibers in the skin of obese mice showed increased activity on heating, whereas their mechanosensitivity was not altered. Although ASIC3 knockout mice fed with high-fat diet became obese, and showed signs of metabolic syndrome and prediabetes, genetic deletion, and in vivo pharmacological inhibition of ASIC3, protected mice from obesity-induced thermal hypersensitivity. We then deciphered the mechanisms involved in the heat hypersensitivity of mice and found that serum from high-fat diet-fed mice was enriched in lysophosphatidylcholine (LPC16:0, LPC18:0, and LPC18:1). These enriched lipid species directly increased the activity of DRG neurons through activating the lipid sensitive ASIC3 channel. Our results identify ASIC3 channel in DRG neurons and circulating lipid species as a mechanism contributing to the hyperexcitability of nociceptive neurons that can cause pain associated with lipid-rich diet consumption and obesity.
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Affiliation(s)
- Ahmed Negm
- Université Côte d'Azur, CNRS, IPMC, LabEx ICST, FHU InovPain, Valbonne, France. Negm is now with the Université Clermont-Auvergne, Laboratoire Neurodol, UMR 1107 Inserm, Clermont-Ferrand, France
| | - Katharina Stobbe
- Université Côte d'Azur, CNRS, IPMC, LabEx SIGNALIFE, Valbonne, France
| | - Selma Ben Fradj
- Université Côte d'Azur, CNRS, IPMC, LabEx SIGNALIFE, Valbonne, France
| | - Clara Sanchez
- Université Côte d'Azur, CNRS, IPMC, LabEx SIGNALIFE, Valbonne, France
| | - Arnaud Landra-Willm
- Université Côte d'Azur, CNRS, IPMC, LabEx ICST, FHU InovPain, Valbonne, France. Negm is now with the Université Clermont-Auvergne, Laboratoire Neurodol, UMR 1107 Inserm, Clermont-Ferrand, France
| | - Margaux Richter
- Université Côte d'Azur, CNRS, IPMC, LabEx ICST, FHU InovPain, Valbonne, France. Negm is now with the Université Clermont-Auvergne, Laboratoire Neurodol, UMR 1107 Inserm, Clermont-Ferrand, France
| | | | | | - Emmanuel Deval
- Université Côte d'Azur, CNRS, IPMC, LabEx ICST, FHU InovPain, Valbonne, France. Negm is now with the Université Clermont-Auvergne, Laboratoire Neurodol, UMR 1107 Inserm, Clermont-Ferrand, France
| | - Eric Lingueglia
- Université Côte d'Azur, CNRS, IPMC, LabEx ICST, FHU InovPain, Valbonne, France. Negm is now with the Université Clermont-Auvergne, Laboratoire Neurodol, UMR 1107 Inserm, Clermont-Ferrand, France
| | - Carole Rovere
- Université Côte d'Azur, CNRS, IPMC, LabEx SIGNALIFE, Valbonne, France
| | - Jacques Noel
- Université Côte d'Azur, CNRS, IPMC, LabEx ICST, FHU InovPain, Valbonne, France. Negm is now with the Université Clermont-Auvergne, Laboratoire Neurodol, UMR 1107 Inserm, Clermont-Ferrand, France
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9
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Zhou H, Liang X, Tan K, Guo Y, Zhao X, Chen G, Guo B, Li S, Feng S, Pan Q, Li T, Pan J, Ma B, Gao Y, Guan H, Zhang X, Baima Y, Xie L, Zhang J. Mediation of metabolic syndrome in the association between long-term exposure to particulate matter and incident cardiovascular disease: Evidence from a population-based cohort in Chengdu. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 269:115827. [PMID: 38100852 DOI: 10.1016/j.ecoenv.2023.115827] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Revised: 12/09/2023] [Accepted: 12/11/2023] [Indexed: 12/17/2023]
Abstract
BACKGROUND Particulate matter (PM) exposure has been linked with cardiovascular disease (CVD) and metabolic syndrome (MetS), the latter characterized by concurrent multiple metabolic disorders. As a result, the mechanisms assumption from PM to CVD through MetS have emerged, thus requiring further epidemiological evidence. This cohort study aimed to assess whether MetS mediates the associations of PM with CVD risk. METHODS This study included 14,195 participants from the Chengdu cohort of the China Multi-Ethnic Cohort (CMEC) study in 2018. The primary outcome of incident CVD diagnoses was identified using matched hospital records from the Health Information Center of Sichuan Province. Residence-specific levels of PM with aerodynamic diameters of ≤ 1 µm (PM1), ≤ 2.5 µm (PM2.5), and ≤ 10 µm (PM10) were estimated by spatiotemporal models. Causal mediation analyses were applied to evaluate the indirect effect of MetS. RESULTS Increased exposure levels to PM were significantly associated with MetS and CVD. Mediation analyses indicated that the associations between PM exposure and CVD were mediated by MetS, with the proportion of multiple mediations being 19.3%, 12.1%, and 13.5% for PM1, PM2.5, and PM10, respectively. Further moderated mediation analyses suggested that male, overweight individuals, alcohol drinkers, and those suffering from indoor air pollution may experience more significant adverse effects from PM exposure on CVD via MetS than others. CONCLUSIONS Our findings suggest that MetS partially mediates the association between long-term exposure to PM and CVD. These mediation effects appear to be amplified by demographic characteristics and unhealthy lifestyles.
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Affiliation(s)
- Hanwen Zhou
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Xian Liang
- Chengdu Center for Disease Control and Prevention, Chengdu, Sichuan 610041, China
| | - Kun Tan
- Health information center of Sichuan Province, Chengdu, Sichuan 610041, China
| | - Yuming Guo
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne VIC 3004, Australia
| | - Xing Zhao
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Gongbo Chen
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne VIC 3004, Australia
| | - Bing Guo
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Shanshan Li
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne VIC 3004, Australia
| | - Shiyu Feng
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Qing Pan
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Tian Li
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Jingping Pan
- Health information center of Sichuan Province, Chengdu, Sichuan 610041, China
| | - Bangjing Ma
- Qingbaijiang District Center for Disease Control and Prevention of Chengdu, Chengdu, Sichuan 610399, China
| | - Yang Gao
- Chongqing Center for Disease Control and Prevention, Chongqing 400042, China
| | - Han Guan
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, Guizhou 550025, China
| | - Xuehui Zhang
- School of Public Health, Kunming Medical University, Kunming, Yunnan 650500, China
| | - Yangji Baima
- School of Medicine, Tibet University, Tibet 850000, China
| | - Linshen Xie
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan 610041, China.
| | - Juying Zhang
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan 610041, China.
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10
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Slurink IA, Corpeleijn E, Bakker SJ, Jongerling J, Kupper N, Smeets T, Soedamah-Muthu SS. Dairy consumption and incident prediabetes: prospective associations and network models in the large population-based Lifelines Study. Am J Clin Nutr 2023; 118:1077-1090. [PMID: 37813340 DOI: 10.1016/j.ajcnut.2023.10.002] [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: 01/30/2023] [Revised: 08/21/2023] [Accepted: 10/04/2023] [Indexed: 10/11/2023] Open
Abstract
BACKGROUND Evidence on associations between dairy consumption and incident prediabetes is inconsistent. One potential explanation for heterogeneity is that health behavior and food intake covary with the consumption of various high-fat and low-fat dairy types. OBJECTIVE The objective was to investigate the associations of total dairy and dairy types with incident prediabetes and to assess how dairy intake is linked with metabolic risk factors, lifestyle behaviors, and foods, as potential explanations for these associations. METHODS Overall, 74,132 participants from the prospective population-based Lifelines study were included (mean age, 45.5 ± 12.3 y; 59.7% female). Baseline dairy intake was measured using a validated food frequency questionnaire. Prediabetes at follow-up was defined based on the World Health Organization/International Expert Committee criteria as fasting plasma glucose of 110-125 mg/dL or glycated hemoglobin concentrations of 6.0%-6.5%. Associations were analyzed using Poisson regression models adjusted for social demographics, lifestyle behaviors, family history of diabetes, and food group intake. Interconnections were assessed with mixed graphical model networks. RESULTS At a mean follow-up of 4.1 ± 1.1 y, 2746 participants developed prediabetes (3.7%). In regression analyses, neutral associations were found for most dairy types. Intake of plain milk and low-fat milk were associated with a higher risk of prediabetes in the top compared with bottom quartiles (relative risk [RR]: 1.17; 95% confidence interval [CI]: 1.05, 1.30; P-trend = 0.04 and RR: 1.18; 95% CI: 1.06, 1.31; P-trend =0.01). Strong but nonsignificant effect estimates for high-fat yogurt in relation to prediabetes were found (RRservings/day: 0.80; 95% CI: 0.64, 1.01). The network analysis showed that low-fat milk clustered with energy-dense foods, including bread, meat, and high-fat cheese, whereas high-fat yogurt had no clear link with lifestyle risk factors and food intake. CONCLUSIONS In this large cohort of Dutch adults, low-fat milk intake was associated with higher prediabetes risk. Heterogeneous associations by dairy type and fat content might partly be attributed to confounding caused by behaviors and food intake related to dairy intake.
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Affiliation(s)
- Isabel Al Slurink
- Center of Research on Psychological disorders and Somatic diseases (CoRPS), Department of Medical and Clinical Psychology, Tilburg University, Tilburg, The Netherlands.
| | - Eva Corpeleijn
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Stephan Jl Bakker
- Department of Internal Medicine, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Joran Jongerling
- Department of Methodology and Statistics, Tilburg University, Tilburg, The Netherlands
| | - Nina Kupper
- Center of Research on Psychological disorders and Somatic diseases (CoRPS), Department of Medical and Clinical Psychology, Tilburg University, Tilburg, The Netherlands
| | - Tom Smeets
- Center of Research on Psychological disorders and Somatic diseases (CoRPS), Department of Medical and Clinical Psychology, Tilburg University, Tilburg, The Netherlands
| | - Sabita S Soedamah-Muthu
- Center of Research on Psychological disorders and Somatic diseases (CoRPS), Department of Medical and Clinical Psychology, Tilburg University, Tilburg, The Netherlands; Institute for Food, Nutrition and Health, University of Reading, Reading, United Kingdom
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11
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Devesa A, Ibanez B, Malick WA, Tinuoye EO, Bustamante J, Peyra C, Rosenson RS, Bhatt DL, Stone GW, Fuster V. Primary Prevention of Subclinical Atherosclerosis in Young Adults: JACC Review Topic of the Week. J Am Coll Cardiol 2023; 82:2152-2162. [PMID: 37993206 DOI: 10.1016/j.jacc.2023.09.817] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 09/05/2023] [Accepted: 09/11/2023] [Indexed: 11/24/2023]
Abstract
There is growing evidence that the atherosclerotic process that leads to symptomatic cardiovascular disease (CVD) starts at an early age. In young adults, exposure to low-density lipoprotein-cholesterol and other cardiovascular risk factor (CVRF) mediators, even at levels considered within normal limits, increases the prevalence of subclinical atherosclerosis and is associated with greater risk of cardiovascular events later in life. The optimal CVRF targets to prevent CVD in asymptomatic young individuals (<40 years) are unknown. The randomized controlled PRECAD (Prevent Coronary Artery Disease) trial has been developed to assess the potential benefit of an aggressive control of CVRF in otherwise healthy young adults. The hypothesis of PRECAD is that in subjects aged 20 to 39 years without known CVD, maintaining low-density lipoprotein-cholesterol <70 mg/dL and strict control of blood pressure and glucose will prevent the onset of atherosclerosis and/or its progression. The primary endpoint will be the change in total atherosclerosis burden, a surrogate for CVD.
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Affiliation(s)
- Ana Devesa
- Mount Sinai Heart, Icahn School of Medicine at Mount Sinai, New York, New York, USA; BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA; Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain. https://twitter.com/anadevesa5
| | - Borja Ibanez
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain; Cardiology Department, IIS Fundación Jiménez Díaz University Hospital, Madrid, Spain; CIBER de Enfermedades Cardiovasculares (CIBERCV), Madrid, Spain
| | - Waqas A Malick
- Mount Sinai Heart, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Elizabeth O Tinuoye
- Mount Sinai Heart, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Jessica Bustamante
- Mount Sinai Heart, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Carlos Peyra
- Mount Sinai Heart, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Robert S Rosenson
- Mount Sinai Heart, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Deepak L Bhatt
- Mount Sinai Heart, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Gregg W Stone
- Mount Sinai Heart, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Valentin Fuster
- Mount Sinai Heart, Icahn School of Medicine at Mount Sinai, New York, New York, USA; Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain.
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12
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Gumede N, Khathi A. The role of fibrinolysis in the development of prediabetes-associated coronary heart disease: a focus on the plasminogen activator inhibitor -1 and its potential use as a predictive marker in diet-induced prediabetes. Front Nutr 2023; 10:1256427. [PMID: 38024366 PMCID: PMC10652797 DOI: 10.3389/fnut.2023.1256427] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Accepted: 10/11/2023] [Indexed: 12/01/2023] Open
Abstract
Introduction Type 2 diabetes mellitus (T2DM) is associated with an increased risk of cardiovascular diseases (CVD). However, the onset of T2DM is preceded by prediabetes, which is associated with sedentary lifestyles and consumption of high-calorie diets. Studies have shown that impaired glucose homeostasis creates an environment for developing T2DM-related complications. Using a high-fat-high-carbohydrate diet-induced prediabetes animal model, this study sought to assess the risk factors of coronary heart disease (CHD) in diet-induced prediabetes and identify biomarkers that can be used for early detection of prediabetes-associated CHD. Methods Male Sprague Dawley rats were randomly grouped into two groups and were kept on different diets for 20 weeks (n = 6 in each group). One group was fed standard rat chow to serve as a non-prediabetes (NPD) control, while the other group consumed a high-fat-high-carbohydrate diet to induce prediabetes (PD). Post induction, the homeostasis model assessment- insulin resistance (HOMA-IR) and glycated haemoglobin (HbA1c) was used to test for insulin resistance. Body weight, mean arterial pressure (MAP), resting heart rate (HR), inflammatory cytokines (C-reactive protein (CRP), tumor necrosis factor (TNF-α), interleukin-6 (IL-6)), lipids (total cholesterol (TC), triglyceride (TG), lipoproteins (HDL, LDL, VLDL)), endothelial function (endothelial nitric oxide (eNOS), endothelin -1 (ET-1)), fibrinolysis (plasminogen activator inhibitor-1 (PAI-1)) were all measured to assess the risk of CHD. All data were expressed as means ± S.E.M. Statistical comparisons were performed with Graph Pad. Instat Software using Student's two-sided t-test. The Pearson correlation coefficient and linear regression were calculated to assess the association. The value of p < 0.05 was considered statistically significant. Results There was significant insulin resistance accompanied by significantly increased HbA1c and body weight in PD compared to NPD. Simultaneously, there was a significant increase in inflammatory cytokines in PD compared to NPD. This was accompanied by significantly increased TG and VLDL and endothelial dysfunction in PD. The association between HOMA-IR and PAI-1 was insignificantly positive in NPD, whereas a significantly strong positive association was observed in PD. Conclusion There is a positive correlation between insulin resistance and PAI-1 during prediabetes; therefore, suggesting that prediabetes increases the risk of developing vascular thrombosis. The current therefore study warrants further investigation on PAI-1 and other markers of fibrinolysis for the early detection of thrombosis and risk of CHD in prediabetes.
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Affiliation(s)
- Nompumelelo Gumede
- Department of Human Physiology, School of Laboratory Medicine and Medical Sciences, College of Health Sciences, University of KwaZulu-Natal, Durban, South Africa
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13
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Sune MP, Sune M, Sune P, Dhok A. Prevalence of Retinopathy in Prediabetic Populations: A Systematic Review and Meta-Analysis. Cureus 2023; 15:e49602. [PMID: 38161917 PMCID: PMC10755086 DOI: 10.7759/cureus.49602] [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: 08/24/2023] [Accepted: 11/28/2023] [Indexed: 01/03/2024] Open
Abstract
Among the leading causes of vision impairment and blindness globally, diabetic retinopathy (DR) is one of the most important causes. There is increasing evidence of DR prevalence in the prediabetic population. This systematic review presents collective data on retinopathy in the prediabetic population. This review article aimed to estimate the reported prevalence of retinopathy in prediabetes, impaired glucose tolerance test (GTT) without diabetes mellitus, and the risk factors involved and to summarize it. Literature searches were done using the Web of Science, CINAHL, Google Scholar, Cochrane, EMBASE, and PubMed databases from inception to April 2023. Our search included the words prediabetes, DR, and risk factors. All searches were looked at for methodological quality and evidence. Thirty-one studies were included after the screening. Population-based data were used in 23 studies (82.1%). The prediabetic population screened was 10,539. The prevalence of retinopathy ranged between 0.3% and 20.9%, showing a median of 8.1% with an interquartile range (IQR) of 4.2-11%, showing great variance in estimates due to the use of different screening methods, methods used for retinopathy grading, and study populations. Several studies compared the population with normal GTT with impaired glucose tolerance (IGT) and inferred that there was a lower prevalence of retinopathy in the normal GTT population (3.0%, IQR 0.3-7.4%) than prediabetes (6.7%, IQR 1.9-10.1%). According to this data, a greater retinopathy prevalence was found in prediabetic populations.
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Affiliation(s)
- Manjiri P Sune
- Ophthalmology, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education and Research, Wardha, IND
| | - Mona Sune
- Ophthalmology, Sune Eye Hospital, Wardha, IND
| | | | - Archana Dhok
- Biochemistry, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education and Research, Wardha, IND
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14
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Falkentoft AC, Gerds TA, Zareini B, Knop FK, Køber L, Torp-Pedersen C, Schou M, Bruun NE, Ruwald AC. Risk of first-time major cardiovascular event among individuals with newly diagnosed type 2 diabetes: data from Danish registers. Diabetologia 2023; 66:2017-2029. [PMID: 37528178 PMCID: PMC10541344 DOI: 10.1007/s00125-023-05977-6] [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: 02/02/2023] [Accepted: 05/30/2023] [Indexed: 08/03/2023]
Abstract
AIMS/HYPOTHESIS We aimed to examine whether individuals with initial omission of glucose-lowering drug treatment (GLDT), including those achieving initial remission of type 2 diabetes, may experience a higher risk of major adverse cardiovascular events (MACE) compared with well-controlled individuals on GLDT after a new type 2 diabetes diagnosis in real-world clinical practice. Furthermore, we examined whether a higher risk could be related to lower initiation of statins and renin-angiotensin system inhibitors (RASi). METHODS In this cohort study, we used Danish registers to identify individuals with a first measured HbA1c between 48 and 57 mmol/mol (6.5-7.4%) from 2014 to 2020. Six months later, we divided participants into four groups according to GLDT and achieved HbA1c (<48 vs ≥48 mmol/mol [6.5%]): well-controlled and poorly controlled on GLDT; remission and persistent type 2 diabetes not on GLDT. We reported how much the standardised 5 year risk of MACE could be reduced for each group if initiation of statins and RASi was the same as in the well-controlled group on GLDT. RESULTS We included 14,221 individuals. Compared with well-controlled participants on GLDT, the 5 year standardised risk of MACE was higher in the three other exposure groups: by 3.3% (95% CI 1.6, 5.1) in the persistent type 2 diabetes group not on GLDT; 2.0% (95% CI 0.4, 3.7) in the remission group not on GLDT; and 3.5% (95% CI 1.3, 5.7) in the poorly controlled group on GLDT. Fewer individuals not on GLDT initiated statins and RASi compared with individuals on GLDT. If initiation of statins and RASi had been the same as in the well-controlled group on GLDT, participants not on GLDT could have reduced their risk of MACE by 2.1% (95% CI 1.2, 2.9) in the persistent type 2 diabetes group and by 1.1% (95% CI 0.4, 1.9) in the remission group. CONCLUSIONS/INTERPRETATION Compared with well-controlled individuals on GLDT, individuals not on initial GLDT had a higher 5 year risk of MACE, even among those achieving remission of type 2 diabetes. This may be related to lower use of statins and RASi.
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Affiliation(s)
- Alexander C Falkentoft
- Department of Cardiology, Zealand University Hospital, University of Copenhagen, Roskilde, Denmark.
| | - Thomas Alexander Gerds
- Department of Cardiology, Herlev-Gentofte Hospital, University of Copenhagen, Hellerup, Denmark
- Section of Biostatistics, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Bochra Zareini
- Department of Cardiology, Nordsjællands Hospital, Hillerød, Denmark
| | - Filip K Knop
- Center for Clinical Metabolic Research, Gentofte Hospital, University of Copenhagen, Hellerup, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Steno Diabetes Center Copenhagen, Herlev, Denmark
| | - Lars Køber
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Cardiology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Christian Torp-Pedersen
- Department of Cardiology, Nordsjællands Hospital, Hillerød, Denmark
- Department of Cardiology, Aalborg University Hospital, Aalborg, Denmark
| | - Morten Schou
- Department of Cardiology, Herlev-Gentofte Hospital, University of Copenhagen, Hellerup, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Niels E Bruun
- Department of Cardiology, Zealand University Hospital, University of Copenhagen, Roskilde, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Clinical Institute, Aalborg University, Aalborg, Denmark
| | - Anne-Christine Ruwald
- Department of Cardiology, Zealand University Hospital, University of Copenhagen, Roskilde, Denmark
- Department of Cardiology, Herlev-Gentofte Hospital, University of Copenhagen, Hellerup, Denmark
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15
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Zhong P, Zhu Z, Wang Y, Huang W, He M, Wang W. Cardiovascular and microvascular outcomes according to vitamin D level and genetic variants among individuals with prediabetes: a prospective study. J Transl Med 2023; 21:724. [PMID: 37845735 PMCID: PMC10577927 DOI: 10.1186/s12967-023-04557-x] [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: 01/30/2023] [Accepted: 09/22/2023] [Indexed: 10/18/2023] Open
Abstract
BACKGROUND Whether serum vitamin D mediate vascular diseases in prediabetic populations remains unclear. This study aimed to determine the associations between circulating 25-hydroxyvitamin D [25(OH)D] levels and vitamin D receptor (VDR) polymorphisms with the risk of macrovascular complications, including myocardial infarction and stroke, and microvascular complications such as diabetic nephropathy and retinopathy, among adults with prediabetes. METHODS Participants with prediabetes in UK Biobank were included (N = 56,387). Multivariable dose-response and Cox proportion models were used to explore the relationship of serum 25(OH)D status and the risks of vascular complications. The interaction of VDR polymorphisms with serum 25(OH)D level on risks of vascular events was also assessed. RESULTS During a median follow-up of 12 years, higher levels of 25(OH)D were significantly and nonlinearly associated with a lower risk of macrovascular diseases among prediabetic individuals. The adjusted hazard ratios (95% confidential interval) of serum 25(OH)D levels of ≥ 75.0 nmol/L versus < 25 nmol/L were 0.75 (0.63-0.88) for myocardial infarction, 0.74 (0.55-1.00) for stroke, 1.02 (0.60-1.74) for diabetic nephropathy, and 1.30 (0.92-1.84) for diabetic retinopathy, respectively. The rs2228570 (FokI) polymorphisms significantly interacted with 25(OH)D on incident myocardial infarction (P-interaction = 0.042) and stroke (P-interaction = 0.033). The individuals with serum 25(OH)D level of 50.0-74.9 nmol/L and rs2228570 (FokI) homozygotes had the lowest risks of vascular complications. CONCLUSIONS Lower serum 25(OH)D levels are significantly and nonlinearly associated with an increased risk of cardiocerebrovascular diseases in prediabetic individuals, with VDR polymorphisms of rs2228570 (FokI) modify such associations. Monitoring a safe 25(OH)D concentration is suggested to prevent the vascular complications for prediabetes.
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Affiliation(s)
- Pingting Zhong
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Sun Yat-sen University, Guangzhou, China
- Hainan Eye Hospital and Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Haikou, China
| | - Zhuoting Zhu
- Centre for Eye Research Australia, University of Melbourne, Melbourne, Australia
| | - Yunlong Wang
- Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Wenyong Huang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Sun Yat-sen University, Guangzhou, China.
| | - Mingguang He
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Sun Yat-sen University, Guangzhou, China.
- Experimental Ophthalmology, The Hong Kong Polytechnic University, Hong Kong, China.
| | - Wei Wang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Sun Yat-sen University, Guangzhou, China.
- Hainan Eye Hospital and Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Haikou, China.
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16
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Cui K, Yin D, Song W, Wang H, Zhu C, Feng L, Li J, Jia L, Lu Y, Zhang R, Shi B, Song Y, Fu R, Dou K. The prognostic effect of prediabetes defined by different criteria in patients with stable coronary artery disease: a prospective cohort study in Asia. Eur J Prev Cardiol 2023; 30:1418-1426. [PMID: 36987575 DOI: 10.1093/eurjpc/zwad095] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 03/10/2023] [Accepted: 03/24/2023] [Indexed: 03/30/2023]
Abstract
AIMS To evaluate the impact of prediabetes identified by different glycemic thresholds (according to ADA or WHO/IEC criteria) and diagnostic tests (fasting plasma glucose [FPG] or hemoglobin A1c [HbA1c]) on clinical outcomes in patients with stable coronary artery disease (CAD). METHODS AND RESULTS In this prospective cohort study, we consecutively enrolled 4088 stable CAD non-diabetic patients with a median follow-up period of 3.2 years. Prediabetes was defined according to ADA criteria as FPG 5.6∼6.9 mmol/L and/or HbA1c 5.7∼6.4%, and WHO/IEC criteria as FPG 6.1∼6.9 mmol/L and/or HbA1c 6.0∼6.4%. The primary endpoint was major adverse cardiovascular event (MACE), including all-cause death, myocardial infarction, or stroke. The prevalence of prediabetes defined according to ADA criteria (67%) was double that of WHO/IEC criteria (34%). Compared with patients with normoglycaemia, those with WHO/IEC-defined prediabetes were significantly associated with higher risk of MACE [adjusted hazard ratio (HR) 1.50, 95% confidence interval (CI) 1.10-2.06], mainly driven by the higher incidence of events in individuals with HbA1c-defined prediabetes. However, this difference was not found in patients with ADA-defined prediabetes and normoglycaemia (adjusted HR 1.17, 95% CI 0.81-1.68). Although FPG was not associated with cardiovascular events, HbA1c improved the risk prediction for MACE in a model of traditional risk factors. Furthermore, the optimal cutoff value of HbA1c for predicting MACE was 5.85%, which was close to the threshold recommended by IEC. CONCLUSION This study supports the use of WHO/IEC criteria for the identification of prediabetes in stable CAD patients. Haemoglobin A1c, rather than FPG, should be considered as a useful marker for risk stratification in this population. REGISTRATION Not applicable.
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Affiliation(s)
- Kongyong Cui
- Cardiometabolic Medicine Center, Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167, Beilishi Road, Xicheng District, Beijing 100037, China
| | - Dong Yin
- Cardiometabolic Medicine Center, Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167, Beilishi Road, Xicheng District, Beijing 100037, China
| | - Weihua Song
- Cardiometabolic Medicine Center, Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167, Beilishi Road, Xicheng District, Beijing 100037, China
| | - Hongjian Wang
- Cardiometabolic Medicine Center, Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167, Beilishi Road, Xicheng District, Beijing 100037, China
| | - Chenggang Zhu
- Cardiometabolic Medicine Center, Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167, Beilishi Road, Xicheng District, Beijing 100037, China
| | - Lei Feng
- Cardiometabolic Medicine Center, Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167, Beilishi Road, Xicheng District, Beijing 100037, China
| | - Jianjun Li
- Cardiometabolic Medicine Center, Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167, Beilishi Road, Xicheng District, Beijing 100037, China
| | - Lei Jia
- Cardiometabolic Medicine Center, Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167, Beilishi Road, Xicheng District, Beijing 100037, China
| | - Ye Lu
- Medical Research & Biometrics Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Rui Zhang
- Cardiometabolic Medicine Center, Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167, Beilishi Road, Xicheng District, Beijing 100037, China
| | - Boqun Shi
- Cardiometabolic Medicine Center, Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167, Beilishi Road, Xicheng District, Beijing 100037, China
| | - Yanjun Song
- Cardiometabolic Medicine Center, Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167, Beilishi Road, Xicheng District, Beijing 100037, China
| | - Rui Fu
- Cardiometabolic Medicine Center, Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167, Beilishi Road, Xicheng District, Beijing 100037, China
| | - Kefei Dou
- Cardiometabolic Medicine Center, Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167, Beilishi Road, Xicheng District, Beijing 100037, China
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17
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Zhang Q, Wu C, Liu Y, Tan X, Li C, Li L, Hu S. Chronic Inflammation Plays a Role of a Bridge Between Cardiovascular Disease and Hyperglycemia. Metab Syndr Relat Disord 2023; 21:468-474. [PMID: 37792412 DOI: 10.1089/met.2023.0086] [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] [Indexed: 10/05/2023] Open
Abstract
Background: Chronic inflammation is believed to play a key role in managing cardiovascular disease (CVD) and glycometabolism, but the specific effects remain unclear. The subclinical features of CVD events and hyperglycemia linked to inflammatory status were evaluated in this study. In addition, independent factors associated with inflammatory status were identified. Methods: Inflammatory status was measured by high-sensitivity C-reactive protein (hs-CRP), CVD events estimated by carotid intima-media thickness (cIMT), and hyperglycemia determined by glycated hemoglobin (HbA1c). Univariate analysis was performed to identify the characteristics of HbA1c-defined normoglycemia, prediabetes, and diabetes, whereas multivariate linear regression analysis was conducted to identify independent factors that correlated with hs-CRP levels. Results: Compared with HbA1c-defined normoglycemia, individuals with prediabetes and diabetes had significantly higher risks of cIMT thickening [risk ratio (RR) was 2.21 and 2.40, respectively], carotid atherosclerosis (RR was 2.29 and 3.04, respectively), and carotid plaque (RR was 2.15 and 2.63, respectively). Diabetes had higher risks of carotid atherosclerosis (RR was 1.33) and carotid plaque (RR was 1.22) than prediabetes. Increasing prevalence of cIMT thickening, atherosclerosis, and plaque was correlated with hs-CRP levels rising. There was a notable linear relationship between HbA1c and hs-CRP levels (R2 = 0.8685). In addition, both men and women showed an independent correlation of hs-CRP levels with HbA1c and low-density lipoprotein cholesterol, whereas men also had thyroid-stimulating hormone and women had age as an independent factor. Conclusions: Chronic inflammation links hyperglycemia to CVD events, and the relevant risk factors would be potential targets for alleviating inflammation and delaying the progression of the atherogenic process.
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Affiliation(s)
- Qiang Zhang
- Health Management Center, Chongqing General Hospital, Chongqing, China
| | - Chunxi Wu
- Department of Blood Transfusion, Southwest Hospital, Army Medical University, Chongqing, China
| | - Ying Liu
- Health Management Center, Chongqing General Hospital, Chongqing, China
| | - Xiaoqing Tan
- Health Management Center, Chongqing General Hospital, Chongqing, China
| | - Can Li
- Health Management Center, Chongqing General Hospital, Chongqing, China
| | - Lanlan Li
- Health Management Center, Chongqing General Hospital, Chongqing, China
| | - Shixia Hu
- Health Management Center, Chongqing General Hospital, Chongqing, China
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18
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Kashyap SR, Desouza C, Aroda VR, Kim SH, Neff LM, Wu SS, Raskin P, Pratley R. Glycemic and metabolic sub-classification of prediabetes and risk factors for cardiovascular disease in the D2d cohort. Am J Prev Cardiol 2023; 15:100525. [PMID: 37650052 PMCID: PMC10462804 DOI: 10.1016/j.ajpc.2023.100525] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Revised: 07/05/2023] [Accepted: 07/13/2023] [Indexed: 09/01/2023] Open
Abstract
Objectives Prediabetes represents a spectrum of metabolic abnormalities, including insulin resistance and secretory impairment, that carries increased cardiovascular disease (CVD) risk. It is unclear whether specific glycemic and metabolic sub-classifications are associated with CVD risk. This cross-sectional analysis of 3946 participants from the Vitamin D and Type 2 Diabetes (D2d) study cohort aimed to determine the associations between various baseline CVD risk factors, glycemic sub-classifications of prediabetes (FPG, 2hPG, and HbA1c), and measures of insulin sensitivity and secretion from an OGTT. Methods The metabolic syndrome and atherosclerotic cardiovascular disease (ASCVD) risk scores were determined for tertiles of insulin sensitivity (HOMA2S) and insulinogenic index (IGI). Unadjusted analyses showed elevated CVD risk factors in the lowest tertile for both IGI and HOMA2S. Results After adjustment for age, gender, race, obesity, and smoking status, the association remained between HOMA2S and ASCVD score (r = -0.11, p< 0.001) but not for IGI. Those who met at least 2 diagnosic criteria for prediabetes had the largest proportion (> 40%) of participants with high ASCVD risk score >20. A higher percentage of individuals that met all 3 criteria for prediabetes had metabolic syndrome and ASCVD risk score >20 (87.2% and 15.3%, respectively) than those who only met 1 prediabetes criterion (51.6% and 7.1%, respectively). Conclusions In conclusion, multiple metabolic (HOMA2S, IGI) and glycemic criteria of prediabetes (FPG, 2hPG, & HbA1c) are needed to fully recognize the elevated CVD risk profile that can manifest in prediabetes.
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Affiliation(s)
| | - Cyrus Desouza
- Omaha VA Medical Center, University of Nebraska Medical Center, Omaha, NE, USA
| | - Vanita R. Aroda
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Sun H. Kim
- Stanford University School of Medicine, Stanford, CA, USA
| | | | - Shannon S. Wu
- Cleveland Clinic Lerner College of Medicine, Cleveland, OH, USA
| | - Philip Raskin
- University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Richard Pratley
- AdventHealth Translational Research Institute, Orlando, FL, USA
| | - D2d Research Group
- Cleveland Clinic, Cleveland, OH, USA
- Omaha VA Medical Center, University of Nebraska Medical Center, Omaha, NE, USA
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Stanford University School of Medicine, Stanford, CA, USA
- Chicago, IL, USA
- Cleveland Clinic Lerner College of Medicine, Cleveland, OH, USA
- University of Texas Southwestern Medical Center, Dallas, TX, USA
- AdventHealth Translational Research Institute, Orlando, FL, USA
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19
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Liu X, Li Y, Wan X, Zhuang P, Wu Y, Zhang L, Ao Y, Yao J, Zhang Y, Jiao J. Association of Fish Oil Supplementation with Risk of Coronary Heart Disease in Individuals with Diabetes and Prediabetes: A Prospective Study in the UK Biobank. Nutrients 2023; 15:3176. [PMID: 37513593 PMCID: PMC10386642 DOI: 10.3390/nu15143176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Revised: 07/08/2023] [Accepted: 07/09/2023] [Indexed: 07/30/2023] Open
Abstract
This study aimed to explore the association between habitual intake of fish oil supplementation and the risk of developing CHD in patients with prediabetes and diabetes. Habitual use of fish oil was assessed by repeated questionnaires. Cox proportional hazard models were applied to calculate hazard ratios (HRs) and 95% confidence intervals (CIs). Over a median follow-up of 11.6 years, 4304 and 3294 CHD cases were documented among 47,663 individuals with prediabetes and 22,146 patients with diabetes in the UK Biobank, respectively. After multivariable adjustment, the HRs (95% CI) of CHD were 0.91 (0.85-0.98) and 0.87 (0.80-0.95) for individuals utilizing fish oil supplementation compared with non-users among the participants with prediabetes and diabetes, respectively. Furthermore, we identified an inverse relationship between fish oil use and CHD incidence, which was significantly mediated by serum C-reactive protein (CRP) levels in individuals with prediabetes and by very-low-density lipoprotein cholesterol (VLDL-C) in patients with diabetes at baseline. The inverse associations were consistent in the analyses stratified by potential confounders. In conclusion, the consumption of fish oil supplements was linked to decreased serum CRP and VLDL-C levels and subsequent CHD risk among adults with prediabetes and diabetes. Our findings highlight the important role of the habitual intake of fish oil supplements in preventing CHD in individuals with impaired glucose metabolism.
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Affiliation(s)
- Xiaohui Liu
- Department of Endocrinology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China
- Department of Nutrition, School of Public Health, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Yin Li
- Department of Endocrinology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China
- Department of Nutrition, School of Public Health, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Xuzhi Wan
- Zhejiang Key Laboratory for Agro-Food Processing, College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China
| | - Pan Zhuang
- Zhejiang Key Laboratory for Agro-Food Processing, College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China
| | - Yuqi Wu
- Zhejiang Key Laboratory for Agro-Food Processing, College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China
| | - Lange Zhang
- Department of Endocrinology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China
- Department of Nutrition, School of Public Health, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Yang Ao
- Department of Endocrinology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China
- Department of Nutrition, School of Public Health, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Jianxin Yao
- Zhejiang Key Laboratory for Agro-Food Processing, College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China
| | - Yu Zhang
- Zhejiang Key Laboratory for Agro-Food Processing, College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China
| | - Jingjing Jiao
- Department of Endocrinology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China
- Department of Nutrition, School of Public Health, Zhejiang University School of Medicine, Hangzhou 310058, China
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20
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Suzuki D, Hoshide S, Kario K. Impact of diabetic status and contribution of office and home blood pressure across diabetic status for cardiovascular disease: the J-HOP study. Hypertens Res 2023; 46:1684-1693. [PMID: 36890269 DOI: 10.1038/s41440-023-01242-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Revised: 02/12/2023] [Accepted: 02/14/2023] [Indexed: 03/10/2023]
Abstract
Few studies have investigated whether the prognostic power of home blood pressure (BP) for cardiovascular disease (CVD) events differs across subjects with different diabetic status. We used the dataset of the J-HOP (Japan Morning Surge-Home Blood Pressure) study, which enrolled patients having cardiovascular risks to investigate relationships between home BP and CVD events. We classified the patients as having diabetes mellitus (DM), prediabetes or normal glucose metabolism (NGM) as follows: for DM, a self-reported history of physician-diagnosed DM and/or use of DM medication, a fasting plasma glucose ≥126 mg/dL, a casual plasma glucose level ≥200 mg/dL or hemoglobin A1c (HbA1c) ≥6.5% (n = 1034); for prediabetes, HbA1c of 5.7-6.4% (n = 1167), and for NGM, those who remained (n = 2024). CVD outcome was defined as coronary artery disease, stroke or heart failure. During a median 6.2 ± 3.8 years of follow-up, 259 CVD events occurred. Analysis found both prediabetes (Unadjusted Hazard ratio [uHR], 1.43; 95% confidence interval [CI], 1.05-1.95), and DM (uHR, 2.13; 95% CI, 1.59-2.85) as risks of CVD compared to NGM. In DM, patients with a 10-mmHg elevation of office systolic BP (SBP) and morning home SBP had 16% and 14% higher risks for CVD events. In the prediabetes group, only an elevated morning home SBP conferred a risk of CVD events (uHR, 1.15; 95% CI, 1.00-1.31), but this association did not hold for the adjusted model. Like DM, prediabetes should be recognized as a risk for CVD events, albeit weakly. Elevated home BP contributes to increased CVD risk in diabetes. Our study demonstrated the impact of prediabetes and diabetes on CVD and the impact of office and home BP on CVD events in each group.
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Affiliation(s)
- Daisuke Suzuki
- Division of Cardiovascular Medicine, Department of Medicine, Jichi Medical University School of Medicine, 3311-159 Yakushiji, Shimotsuke-shi, Tochigi, 329-0498, Japan
- Division of Endocrinology and Metabolism, Department of Medicine, Jichi Medical University Saitama Medical Center, 1-847 Amanuma-cho, Omiya-ku, Saitama, 330-8503, Japan
| | - Satoshi Hoshide
- Division of Cardiovascular Medicine, Department of Medicine, Jichi Medical University School of Medicine, 3311-159 Yakushiji, Shimotsuke-shi, Tochigi, 329-0498, Japan
| | - Kazuomi Kario
- Division of Cardiovascular Medicine, Department of Medicine, Jichi Medical University School of Medicine, 3311-159 Yakushiji, Shimotsuke-shi, Tochigi, 329-0498, Japan.
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21
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Sirkeci O, Erkus Sirkeci E, Ergün Süzer N, Tatlıparmak AC, Küçükçiloğlu Y, Ulaş T. Can orbital artery resistive indexes detect complications of diabetes in the prediabetic phase? Wien Klin Wochenschr 2023:10.1007/s00508-023-02212-5. [PMID: 37154918 DOI: 10.1007/s00508-023-02212-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Accepted: 04/20/2023] [Indexed: 05/10/2023]
Abstract
AIM Prediabetic patients have generalized microvascular dysfunction, which leads to end-organ damage, just like diabetes. Therefore, prediabetes is not just a mild elevation in blood sugar, and early detection and prevention of possible complications should be the main goal. Color Doppler imaging (CDI) provides morphologic and vascular information on various diseases. The Resistive Index (RI) is a widely used measure of resistance to arterial flow and is calculated from the CDI. CDI evaluation of vessels in the retrobulbar region may be the first sign of micro- and macrovascular complications. METHOD Consecutively, 55 prediabetic patients and 33 healthy subjects were recruited for the study. Prediabetic patients were divided into three groups according to their fasting and postprandial blood glucose values. The groups included an impaired fasting glucose (IFG) group (n = 15), an impaired glucose tolerance (IGT) group (n = 13), and an IFG+IGT group (n = 27). The RI of the ophthalmic artery, posterior ciliary artery, and central retinal artery were measured in all patients. RESULTS The orbital artery, central retinal artery, and posterior cerebral artery mean RI of prediabetic patients (0.76 ± 0.06, 0.69 ± 0.03, and 0.69 ± 0.04, respectively) were significantly higher than those of the healthy group (0.66 ± 0.04, 0.63 ± 0.04, and 0.66 ± 0.04, respectively; p < 0.001; Student's t-test). The mean ophthalmic artery RI of the healthy, IFG, IGT, and IFG+IGT groups were 0.66 ± 0.39, 0.7 ± 0.27, 0.72 ± 0.29, and 0.82 ± 0.16, respectively, with a significant difference between the groups (p < 0.001, ANOVA). The mean central retinal artery RI of the healthy, IFG, IGT, and IFG+IGT groups were 0.63 ± 0.04, 0.66 ± 0.02, 0.7 ± 0.02, and 0.71 ± 0.02, respectively (p < 0.001, post-hoc Tukey). The mean posterior cerebral artery RI of the healthy, IFG, IGT, and IFG+IGT groups were 0.66 ± 0.04, 0.66 ± 0.04, 0.69 ± 0.03, and 0.71 ± 0.03, respectively, with a significant difference between the groups (p < 0.001 Fisher ANOVA). CONCLUSION Increased RI may be the first sign of developing retinopathy, as well as the first sign of microangiopathies occurring simultaneously in the coronary, cerebral, and renal vessels. Precautions to be taken during the prediabetic stage can prevent many possible complications.
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Affiliation(s)
- Ozgur Sirkeci
- Faculty of Medicine, Department of Gastroenterology, Suleyman Demirel University, Isparta, Turkey.
| | | | | | | | | | - Turgay Ulaş
- Faculty of Medicine, Near East University, Mersin, Turkey
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22
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Kirthi V, Reed KI, Alattar K, Zuckerman BP, Bunce C, Nderitu P, Alam U, Clarke B, Hau S, Al-Shibani F, Petropoulos IN, Malik RA, Pissas T, Bergeles C, Vas P, Hopkins D, Jackson TL. Multimodal testing reveals subclinical neurovascular dysfunction in prediabetes, challenging the diagnostic threshold of diabetes. Diabet Med 2023; 40:e14952. [PMID: 36054221 PMCID: PMC10087038 DOI: 10.1111/dme.14952] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Revised: 08/18/2022] [Accepted: 08/22/2022] [Indexed: 11/28/2022]
Abstract
AIM To explore if novel non-invasive diagnostic technologies identify early small nerve fibre and retinal neurovascular pathology in prediabetes. METHODS Participants with normoglycaemia, prediabetes or type 2 diabetes underwent an exploratory cross-sectional analysis with optical coherence tomography angiography (OCT-A), handheld electroretinography (ERG), corneal confocal microscopy (CCM) and evaluation of electrochemical skin conductance (ESC). RESULTS Seventy-five participants with normoglycaemia (n = 20), prediabetes (n = 29) and type 2 diabetes (n = 26) were studied. Compared with normoglycaemia, mean peak ERG amplitudes of retinal responses at low (16-Td·s: 4.05 μV, 95% confidence interval [95% CI] 0.96-7.13) and high (32-Td·s: 5·20 μV, 95% CI 1.54-8.86) retinal illuminance were lower in prediabetes, as were OCT-A parafoveal vessel densities in superficial (0.051 pixels/mm2 , 95% CI 0.005-0.095) and deep (0.048 pixels/mm2 , 95% CI 0.003-0.093) retinal layers. There were no differences in CCM or ESC measurements between these two groups. Correlations between HbA1c and peak ERG amplitude at 32-Td·s (r = -0.256, p = 0.028), implicit time at 32-Td·s (r = 0.422, p < 0.001) and 16-Td·s (r = 0.327, p = 0.005), OCT parafoveal vessel density in the superficial (r = -0.238, p = 0.049) and deep (r = -0.3, p = 0.017) retinal layers, corneal nerve fibre length (CNFL) (r = -0.293, p = 0.017), and ESC-hands (r = -0.244, p = 0.035) were observed. HOMA-IR was a predictor of CNFD (β = -0.94, 95% CI -1.66 to -0.21, p = 0.012) and CNBD (β = -5.02, 95% CI -10.01 to -0.05, p = 0.048). CONCLUSIONS The glucose threshold for the diagnosis of diabetes is based on emergent retinopathy on fundus examination. We show that both abnormal retinal neurovascular structure (OCT-A) and function (ERG) may precede retinopathy in prediabetes, which require confirmation in larger, adequately powered studies.
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Affiliation(s)
- Varo Kirthi
- King's College London, London, UK
- King's College Hospital NHS Foundation Trust, London, UK
| | - Kate I Reed
- King's College Hospital NHS Foundation Trust, London, UK
| | | | | | - Catey Bunce
- Biomedical Research Centre, The Royal Marsden NHS Foundation Trust and the Institute of Cancer Research, London, UK
| | - Paul Nderitu
- King's College London, London, UK
- King's College Hospital NHS Foundation Trust, London, UK
| | - Uazman Alam
- University of Liverpool, Liverpool, UK
- Liverpool University Hospitals NHS Foundation Trust, Liverpool, UK
- Institute of Cardiovascular Sciences, Cardiac Centre, Faculty of Medical and Human Sciences, University of Manchester, Manchester, UK
| | - Bronagh Clarke
- Moorfields Eye Hospital NHS Foundation Trust, London, UK
| | - Scott Hau
- Moorfields Eye Hospital NHS Foundation Trust, London, UK
- University College London, London, UK
| | | | | | - Rayaz A Malik
- Institute of Cardiovascular Sciences, Cardiac Centre, Faculty of Medical and Human Sciences, University of Manchester, Manchester, UK
- Division of Research, Weill Cornell Medicine-Qatar, Doha, Qatar
| | - Theodoros Pissas
- King's College London, London, UK
- University College London, London, UK
| | | | - Prashanth Vas
- King's College London, London, UK
- King's College Hospital NHS Foundation Trust, London, UK
| | - David Hopkins
- King's College London, London, UK
- King's College Hospital NHS Foundation Trust, London, UK
| | - Timothy L Jackson
- King's College London, London, UK
- King's College Hospital NHS Foundation Trust, London, UK
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23
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Yu W, Li X, Zhong W, Dong S, Feng C, Yu B, Lin X, Yin Y, Chen T, Yang S, Jia P. Rural-urban disparities in the associations of residential greenness with diabetes and prediabetes among adults in southeastern China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 860:160492. [PMID: 36435247 DOI: 10.1016/j.scitotenv.2022.160492] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Revised: 11/18/2022] [Accepted: 11/21/2022] [Indexed: 06/16/2023]
Abstract
AIMS Greenness offers health benefits to prevent diabetes in urban areas. However, urban-rural disparities in this association have not been explored, with the underlying pathways understudied as well. We aimed to investigate and compare the associations and potential pathways between residential greenness and the risks for diabetes and prediabetes in urban and rural areas. METHODS Diabetes and prediabetes were diagnosed by fasting blood glucose (FBG). The participants' residential greenness exposure was estimated by the normalized difference vegetation index (NDVI) and enhanced vegetation index (EVI). The association of residential greenness with the risks for diabetes and prediabetes was estimated by logistic regression and the generalized additive model. The potential mediation effects of air pollution, body mass index (BMI), and physical activity (PA) were examined by causal mediation analysis. RESULTS Of the 50,593 included participants, and the prevalence of prediabetes and diabetes were 21.22 % and 5.63 %, respectively. Each 0.1-unit increase in EVI500m and NDVI500m for healthy people reduced the risk for prediabetes by 12 % and 8 %, respectively, and substantially reduced the risk for diabetes by 23 % and 19 %, respectively. For those with prediabetes, each 0.1-unit increase in EVI500m and NDVI500m reduced the diabetes risk by 14 % and 12 %, respectively. Compared to the risks for diabetes at the 25th percentile of EVI500m/NDVI500m, such risks significantly reduced when EVI500m (NDVI500m) increased over 0.43 (0.48) and 0.28 (0.39) in urban and rural areas, respectively. The residential greenness-prediabetes/diabetes associations were mediated by air pollution and PA in urban areas and by air pollution and BMI in rural areas. CONCLUSIONS Exposure to residential greenness was associated with a lower risk for prediabetes and diabetes in urban areas and, more strongly, in rural areas, which were partly mediated by air pollution, PA, and BMI.
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Affiliation(s)
- Wanqi Yu
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Xiaoqing Li
- Fujian Provincial Center for Disease Control and Prevention, Fuzhou, China
| | - Wenling Zhong
- Fujian Provincial Center for Disease Control and Prevention, Fuzhou, China
| | - Shu Dong
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Chuanteng Feng
- Institute for Disaster Management and Reconstruction, Sichuan University-The Hong Kong Polytechnic University, Chengdu, China; West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Bin Yu
- Institute for Disaster Management and Reconstruction, Sichuan University-The Hong Kong Polytechnic University, Chengdu, China
| | - Xi Lin
- Fujian Provincial Center for Disease Control and Prevention, Fuzhou, China
| | - Yanrong Yin
- Fujian Provincial Center for Disease Control and Prevention, Fuzhou, China
| | - Tiehui Chen
- Fujian Provincial Center for Disease Control and Prevention, Fuzhou, China
| | - Shujuan Yang
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China; International Institute of Spatial Lifecourse Health (ISLE), Wuhan University, Wuhan, China; Department of Health Management Center, Clinical Medical College & Affiliated Hospital, Chengdu University, Chengdu, China.
| | - Peng Jia
- International Institute of Spatial Lifecourse Health (ISLE), Wuhan University, Wuhan, China; School of Resource and Environmental Sciences, Wuhan University, Wuhan, China
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Hauguel-Moreau M, Hergault H, Cazabat L, Pépin M, Beauchet A, Aïdan V, Ouadahi M, Josseran L, Hage M, Rodon C, Dubourg O, Massy Z, Mansencal N. Prevalence of prediabetes and undiagnosed diabetes in a large urban middle-aged population: the CARVAR 92 cohort. Cardiovasc Diabetol 2023; 22:31. [PMID: 36782164 PMCID: PMC9926717 DOI: 10.1186/s12933-023-01761-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Accepted: 02/03/2023] [Indexed: 02/15/2023] Open
Abstract
BACKGROUND The aim of this study was to assess the prevalence of prediabetes and unknown diabetes and its long-term change in a large middle-aged urban population. METHODS We conducted a screening campaign between 2007 and 2018 for cardiovascular risk factors in the western suburbs of Paris including subjects aged 40-70 (CARVAR 92). Among subjects who reported no previous diabetes, prediabetes and undiagnosed diabetes were defined as follows: fasting plasma glucose (FPG) ≥ 6.1 mmol/l (110 mg/dl) and < 7 mmol/l (126 mg/dl) for prediabetes according to WHO criteria (FPG between 5.6 and 6.9 mmol/l according to ADA criteria) and FPG ≥ 7.0 mmol/l for undiagnosed diabetes. RESULTS Of the 32,721 subjects in the CARVAR 92 cohort, 32,675 were included in this analysis. The median age of the patients was 56 years [30, 94], 45.4% were male, 5.9% had known diabetes, 36.4% were overweight and 18.7% obese. Among patients without previously known diabetes (n = 30,759), 8.1% had prediabetes according to WHO criteria (27.2% according to ADA criteria) and 2.3% had diabetes. Subjects with prediabetes and unknown diabetes were more likely to be male, older, and overweight or obese than non-diabetic subjects. From 2007 to 2018, the prevalence of prediabetes, unknown diabetes, and known diabetes decreased, except for prediabetes which remained stable for people aged 55-64. CONCLUSION The prevalence of prediabetes and unknown diabetes remains high but decreased during a 12-year period. About one-quarter of diabetes cases remain undiagnosed. Our results highlight that there is still a room for screening and cardiovascular prevention campaigns. TRIAL REGISTRATION IRB00012437.
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Affiliation(s)
- Marie Hauguel-Moreau
- Department of Cardiology, Ambroise Paré Hospital, Assistance Publique-Hôpitaux de Paris (AP-HP), Centre de Référence Des Cardiomyopathies Et Des Troubles du Rythme Cardiaque Héréditaires Ou Rares, Université de Versailles-Saint Quentin (UVSQ), ACTION Study Group, Paris, 9, Avenue Charles de Gaulle, 92100, Boulogne-Billancourt, France. .,INSERM U-1018, CESP, Épidémiologie clinique, UVSQ, Villejuif, France.
| | - Hélène Hergault
- Department of Cardiology, Ambroise Paré Hospital, Assistance Publique-Hôpitaux de Paris (AP-HP), Centre de Référence Des Cardiomyopathies Et Des Troubles du Rythme Cardiaque Héréditaires Ou Rares, Université de Versailles-Saint Quentin (UVSQ), ACTION Study Group, Paris, 9, Avenue Charles de Gaulle, 92100, Boulogne-Billancourt, France.,INSERM U-1018, CESP, Épidémiologie clinique, UVSQ, Villejuif, France
| | - Laure Cazabat
- Department of Endocrinology, Diabetology and Nutrition, Ambroise Paré Hospital, AP-HP, UVSQ, Boulogne-Billancourt, France
| | - Marion Pépin
- INSERM U-1018, CESP, Épidémiologie clinique, UVSQ, Villejuif, France.,Department of Geriatrics, Ambroise Paré Hospital, AP-HP, UVSQ, Boulogne-Billancourt, France
| | - Alain Beauchet
- Public Health Department, APHP, UVSQ, Boulogne-Billancourt, France
| | - Vincent Aïdan
- Department of Cardiology, Ambroise Paré Hospital, Assistance Publique-Hôpitaux de Paris (AP-HP), Centre de Référence Des Cardiomyopathies Et Des Troubles du Rythme Cardiaque Héréditaires Ou Rares, Université de Versailles-Saint Quentin (UVSQ), ACTION Study Group, Paris, 9, Avenue Charles de Gaulle, 92100, Boulogne-Billancourt, France
| | - Mounir Ouadahi
- Department of Cardiology, Ambroise Paré Hospital, Assistance Publique-Hôpitaux de Paris (AP-HP), Centre de Référence Des Cardiomyopathies Et Des Troubles du Rythme Cardiaque Héréditaires Ou Rares, Université de Versailles-Saint Quentin (UVSQ), ACTION Study Group, Paris, 9, Avenue Charles de Gaulle, 92100, Boulogne-Billancourt, France
| | - Loïc Josseran
- Département Hospitalier d'Epidémiologie et de Santé Publique, AP-HP, GHU Paris Saclay, Hôpital Raymond-Poincaré, Garches, France
| | - Mirella Hage
- Department of Endocrinology, Diabetology and Nutrition, Ambroise Paré Hospital, AP-HP, UVSQ, Boulogne-Billancourt, France
| | - Christophe Rodon
- Local Health insurance, Hauts de Seine Department, Paris, France
| | - Olivier Dubourg
- Department of Cardiology, Ambroise Paré Hospital, Assistance Publique-Hôpitaux de Paris (AP-HP), Centre de Référence Des Cardiomyopathies Et Des Troubles du Rythme Cardiaque Héréditaires Ou Rares, Université de Versailles-Saint Quentin (UVSQ), ACTION Study Group, Paris, 9, Avenue Charles de Gaulle, 92100, Boulogne-Billancourt, France.,INSERM U-1018, CESP, Épidémiologie clinique, UVSQ, Villejuif, France
| | - Ziad Massy
- INSERM U-1018, CESP, Épidémiologie clinique, UVSQ, Villejuif, France.,Department of Nephrology, Ambroise Paré Hospital, AP-HP, UVSQ, Boulogne-Billancourt, France
| | - Nicolas Mansencal
- Department of Cardiology, Ambroise Paré Hospital, Assistance Publique-Hôpitaux de Paris (AP-HP), Centre de Référence Des Cardiomyopathies Et Des Troubles du Rythme Cardiaque Héréditaires Ou Rares, Université de Versailles-Saint Quentin (UVSQ), ACTION Study Group, Paris, 9, Avenue Charles de Gaulle, 92100, Boulogne-Billancourt, France.,INSERM U-1018, CESP, Épidémiologie clinique, UVSQ, Villejuif, France
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25
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Hepşen S, Keskin DB, Çakal E. The assessment of neuropathic pain in patients with prediabetes. Prim Care Diabetes 2023; 17:33-37. [PMID: 36435735 DOI: 10.1016/j.pcd.2022.11.004] [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: 08/13/2022] [Revised: 10/01/2022] [Accepted: 11/07/2022] [Indexed: 11/24/2022]
Abstract
AIMS Neuropathic pain is associated with several clinical conditions, including anxiety, depression, sleep disorders, and decreased quality of life; however, less evaluated in prediabetes. This study aims to assess neuropathic pain through validated diagnostic tools in prediabetes. METHODS One hundred and seventy-two patients with prediabetes and 170 controls were included in this cross-sectional study. The Leeds Assessment of Neuropathic Symptoms and Signs (LANSS) Pain Scale and Douleur Neuropathique 4 Questions (DN4) were used to evaluate neuropathic pain. The Visual Analog Scale (VAS) was used to estimate pain intensity. RESULTS Twenty-three (13.4%) and 12 (7%) patients with prediabetes were diagnosed with neuropathic pain using DN4 and LANSS questionnaires, respectively. Neuropathic pain rates of the patients were higher than controls with two pain scales (p < 0.001). VAS scores were higher in prediabetes group than in controls (p = 0.021). LANSS, DN4, and VAS scores were positively correlated with HbA1c level (r = 0.184, p = 0.016; r = 0.180, p = 0.018; r = 0.188, p = 0.014, respectively). LANNS and DN4 scores were higher in female patients than in males (p < 0.001). CONCLUSIONS Neuropathic pain was increased in prediabetes by DN4 and LANNS questionnaires. An appropriate diagnosis of neuropathic pain in prediabetes may prevent patients from different pain-related clinical conditions.
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Affiliation(s)
- Sema Hepşen
- University of Health Sciences, Diskapi Yildirim Beyazit Training and Research Hospital, Department of Endocrinology and Metabolism, Ankara, Turkey.
| | - Dilek Baday Keskin
- Kirikkale University Medical Faculty, Department of Physical Medicine and Rehabilitation, Kirikkale, Turkey
| | - Erman Çakal
- University of Health Sciences, Diskapi Yildirim Beyazit Training and Research Hospital, Department of Endocrinology and Metabolism, Ankara, Turkey
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26
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Zhang X, Wu H, Fan B, Shi M, Lau ES, Yang A, Chow E, Kong AP, Chan JC, Ma RC, Luk AO. The role of age on the risk relationship between prediabetes and major morbidities and mortality: Analysis of the Hong Kong diabetes surveillance database of 2 million Chinese adults. THE LANCET REGIONAL HEALTH. WESTERN PACIFIC 2023; 30:100599. [PMID: 36419741 PMCID: PMC9677132 DOI: 10.1016/j.lanwpc.2022.100599] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
BACKGROUND Intensive lifestyle modification showed variable success in the prevention of major clinical events and mortality among people with prediabetes. We propose that age may partly explain the heterogeneity and that health hazards related to prediabetes are age-specific. METHODS We conducted a retrospective analysis of a territory-wide diabetes surveillance dataset from the Hong Kong Hospital Authority between 2000 and 2019. Prediabetes was defined according to the American Diabetes Association criteria. Proportional Cox regression was performed, stratified by baseline age categories (20-39, 40-59, 60-79 and ≥80 years). FINDINGS 1,630,942 individuals were included in the analysis. Compared with normoglycaemia, prediabetes was associated with greater hazards for cardiovascular disease (CVD) and all-cause mortality in most age groups but the effect size attenuated with ascending age (p value for trend <0·05). In the youngest and in the oldest age categories, the respective hazard ratios (95% confidence interval) of prediabetes vs normoglycaemia were 1·79 (1·59, 2·01) and 1·00 (0·95, 1·05) for CVD, and 1·36 (1·20, 1·55) and 0·99 (0·97, 1·02) for all-cause mortality. Similar associations were found for chronic kidney disease, end-stage kidney disease, all-site cancer, all-site infection, subtypes of CVD, and cause-specific mortality. The associations became attenuated but remained after excluding people who later developed diabetes and adjusting for metabolic factors. Similar associations were observed in prediabetes defined by impaired fasting glucose, but not HbA1c. INTERPRETATION Prediabetes is associated with higher risk of major clinical events, even excluding subsequent development of diabetes and adjusting for metabolic factors. The risk relationships are stronger in young than older people. FUNDING This study did not receive any specific funding.
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Affiliation(s)
- Xinge Zhang
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China
| | - Hongjiang Wu
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China
| | - Baoqi Fan
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China
| | - Mai Shi
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China
| | - Eric S.H. Lau
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China
| | - Aimin Yang
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China
| | - Elaine Chow
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China
| | - Alice P.S Kong
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China
| | - Juliana C.N Chan
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China
| | - Ronald C.W Ma
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China
| | - Andrea O.Y Luk
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China
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27
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Ghannam N, Alahmed S, Aldahash R, Aljohani N, Alshammary A, Amir A, Kamal A, Khader S, Salah M, Shalabi H, Abdallah A, Elboghdady A. Addressing the Continuum of Dysglycaemia and Vascular Complications in Prediabetes and Type 2 Diabetes: Need for Early and Intensive Treatment. Diabetes Metab Syndr Obes 2023; 16:105-115. [PMID: 36760588 PMCID: PMC9844108 DOI: 10.2147/dmso.s396621] [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: 11/08/2022] [Accepted: 12/23/2022] [Indexed: 01/18/2023] Open
Abstract
The onset of type 2 diabetes increases the risk of vascular complications and death. We know now that that this risk begins long before the diabetes diagnosis. Prediabetes and type 2 diabetes are not separate entities in practice and exist within a continuum of dysglycaemia and vascular risk that increases in severity over time. This excess risk requires early intervention with lifestyle therapy supported with pharmacologic antidiabetic therapy, intensified promptly where necessary throughout the duration of the diabetes continuum. Metformin is an evidence-based treatment for preventing prediabetes and improves cardiovascular outcomes in people with type 2 diabetes from diagnosis onwards. Newer agents (SGLT2 inhibitors and GLP-1 agonists) are appropriate for people presenting with type 2 diabetes and significant cardiovascular comorbidity. Additional therapies should be used without delay to achieve patients' individualised HbA1c goals and to minimise cardiovascular risk.
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Affiliation(s)
- Nadia Ghannam
- Ghannam Clinic, Jeddah, Saudi Arabia
- Correspondence: Nadia Ghannam, Ghannam Clinic, King Abdulaziz Road, Jeddah, 21411, Saudi Arabia, Email
| | | | - Raed Aldahash
- Ministry of National Guard (Health Affairs) and King Abdullah International Medical Research Center, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
| | | | - Afaf Alshammary
- Ministry of National Guard (Health Affairs), King Abdulaziz Medical City, Riyadh and King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
| | - Ashraf Amir
- Family Medicine International Medical Center, Jeddah, Saudi Arabia
| | | | - Said Khader
- Dr. Sulaiman Al Habib Medical Group, Riyadh, Saudi Arabia
| | - Mohammed Salah
- Cairo University, Cairo, Egypt and GNP Hospital, Jeddah, Saudi Arabia
| | - Hani Shalabi
- University of Jeddah, Jeddah, Saudi Arabia
- Dr. Soliman Fakeeh Hospital, Jeddah, Saudi Arabia
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28
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Jang SA, Kim KM, Park SW, Kim CS. Risk of Carotid Atherosclerosis in Subjects with Prediabetes Overlapping Metabolic Syndrome. Metab Syndr Relat Disord 2022; 20:599-605. [PMID: 36251877 DOI: 10.1089/met.2022.0040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
Background: While the number of individuals with prediabetes and metabolic syndrome (MetS) is increasing, only a few studies have reported differences in cardiovascular risk according to the presence or absence of MetS in individuals with prediabetes. Here, we examined differences in carotid intima-media thickness (CIMT) and carotid plaques in individuals with prediabetes with or without MetS among subjects who visited a single center in Seoul (Huh Diabetes Center). Methods: A total of 328 participants aged ≥20 years, including the group with normoglycemia, were enrolled in the analysis, of which 273 had prediabetes. Individuals with prediabetes were defined as those who met one or more of the following two criteria: fasting plasma glucose of 100-125 mg/dL and/or HbA1c level of 5.7%-6.4%. Carotid atherosclerosis was determined by mean and maximal CIMT and by the presence of carotid plaques. Results: Eighty-nine subjects (32.6% of prediabetes group) were categorized as having MetS. Those with MetS had significantly higher mean CIMT and maximal CIMT than those without (P < 0.05). Moreover, the group with MetS had a significantly higher prevalence of carotid plaques than the group without MetS [odds ratio (OR): 2.45, 95% confidence interval (CI): 1.43-4.19; P = 0.001]. After adjusting for age, sex, body mass index, and low-density lipoprotein cholesterol, individuals with MetS still had greater mean and maximal CIMT than individuals without MetS (P < 0.05), and the presence of MetS was significantly associated with a higher risk of carotid plaques (OR: 2.55, 95% CI: 1.06-6.15; P = 0.037). Conclusion: These results suggest that MetS is independently associated with increased CIMT and the presence of carotid plaques in prediabetes. Our study indicates that the risk of cardiovascular disease (CVD) is high in prediabetic individuals with MetS, and that more attention is needed on the risk of CVD in these individuals.
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Affiliation(s)
- Seol A Jang
- Division of Endocrinology, Department of Internal Medicine, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Korea
| | - Kyoung Min Kim
- Division of Endocrinology, Department of Internal Medicine, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Korea
| | - Seok Won Park
- Division of Endocrinology, Department of Internal Medicine, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Korea
| | - Chul Sik Kim
- Division of Endocrinology, Department of Internal Medicine, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Korea
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Prevalence and correlates of pre-diabetes in adults of mixed ethnicities in the South African population: A systematic review and meta-analysis. PLoS One 2022; 17:e0278347. [PMID: 36445923 PMCID: PMC9707763 DOI: 10.1371/journal.pone.0278347] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Accepted: 11/14/2022] [Indexed: 12/02/2022] Open
Abstract
INTRODUCTION Pre-diabetes is a metabolic condition characterised by moderate glycaemic dysregulation and is a frontline risk factor for multiple metabolic complications such as type 2 diabetes mellitus. To the best of our knowledge, this will be the first systematic review and meta-analysis focusing on generating a comprehensive pooling of studies reporting on pre-diabetes prevalence in South Africa. Therefore, the review's purpose will be to screen and select reports that can be used to synthesise and provide the best estimate prevalence of pre-diabetes and its associated correlates in the South African population. METHODS AND ANALYSIS To determine the prevalence and correlates of pre-diabetes in South Africa, we searched PubMed, Web of Science, Google scholar and African Journal online for published or unpublished studies reporting the prevalence of pre-diabetes in South Africa starting from the year 2000 to 2020. Studies were assessed for eligibility by checking if they met the inclusion criteria. RESULTS & CONCLUSION The total number of studies deemed eligible is 13 and from these studies, an overall prevalence of pre-diabetes was reported to be 15,56% in the South African population. Hypertension, obesity and sedentary lifestyle were the common correlates recorded for the population of interest. Therefore, the review highlights the disturbingly high prevalence of pre-diabetes in South Africa and necessitates further investigations into the possible genetics, biochemical and hormonal changes in pre-diabetes. ETHICS AND DISSEMINATION The review will not require ethics clearance because non-identifiable data will be used. The review outcomes will give insight into the current burden that pre-diabetes has in South Africa. PROSPERO REGISTRATION NUMBER CRD42020182430.
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30
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Choi IY, Chang Y, Cho Y, Kang J, Jung HS, Wild SH, Byrne CD, Ryu S. Prediabetes diagnosis is associated with the progression of coronary artery calcification: The Kangbuk Samsung Health Study. Diabetes Obes Metab 2022; 24:2118-2126. [PMID: 35695046 DOI: 10.1111/dom.14797] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Revised: 05/30/2022] [Accepted: 06/06/2022] [Indexed: 11/29/2022]
Abstract
AIM To investigate the associations between prediabetes defined by different diagnostic criteria and coronary artery calcification (CAC) and its progression over time. MATERIALS AND METHODS This cross-sectional study included 146 436 Korean adults without diabetes who underwent CAC estimation computed tomography (CT) during health examinations from 2011 to 2019. We used multinomial logistic regression models. The longitudinal study comprised 41 100 participants with at least one follow-up cardiac CT and annual CAC progression rates and ratios were estimated. Prediabetes was categorized into three groups: isolated glucose prediabetes (fasting blood glucose [FBG] 100-125 mg/dl, HbA1c < 5.7%), isolated HbA1c prediabetes (FBG < 100 mg/dl, HbA1c 5.7%-6.4%) and prediabetes meeting both FBG and HbA1c criteria (FBG 100-125 mg/dl, HbA1c 5.7%-6.4%). RESULTS After adjusting for covariates, the prevalence ratios (95% CI) for CAC scores of more than 100 comparing isolated glucose prediabetes, isolated HbA1c prediabetes and prediabetes fulfilling both criteria with those of normoglycaemia were 1.12 (0.99-1.26), 1.24 (1.11-1.39) and 1.31 (1.18-1.45), respectively. The multivariable-adjusted ratio (CIs) of annual CAC progression rates comparing the corresponding groups with the normoglycaemia group were 1.031 (1.023-1.039), 1.025 (1.019-1.032) and 1.054 (1.047-1.062), respectively. CONCLUSIONS CAC risk and CAC progression were consistently highest in individuals meeting both glucose and HbA1c criteria, while all three prediabetes types showed a significantly increased risk of CAC progression. Atherosclerosis risk reduction management is necessary for prediabetes, especially in patients meeting both criteria.
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Affiliation(s)
- In Young Choi
- Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Yoosoo Chang
- Center for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
- Department of Occupational and Environmental Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
- Department of Clinical Research Design & Evaluation, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, Seoul, Republic of Korea
| | - Yoosun Cho
- Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Jeonggyu Kang
- Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
- Center for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Hyun-Suk Jung
- Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Sarah H Wild
- Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Christopher D Byrne
- Nutrition and Metabolism, Faculty of Medicine, University of Southampton, Southampton, UK
- National Institute for Health and Care Research Southampton Biomedical Research Centre, University Hospital Southampton, Southampton, UK
| | - Seungho Ryu
- Center for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
- Department of Occupational and Environmental Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
- Department of Clinical Research Design & Evaluation, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, Seoul, Republic of Korea
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Gottwald-Hostalek U, Gwilt M. Vascular complications in prediabetes and type 2 diabetes: a continuous process arising from a common pathology. Curr Med Res Opin 2022; 38:1841-1851. [PMID: 35833523 DOI: 10.1080/03007995.2022.2101805] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
The term, "prediabetes", describes a state of hyperglycaemia that is intermediate between true normoglycaemia and the diagnostic cut-offs for indices of glycaemia that are used to diagnose type 2 diabetes. The presence of prediabetes markedly increases the risk of developing type 2 diabetes. Numerous randomized, controlled evaluations of various agents have demonstrated significant prevention or delay of the onset of type 2 diabetes in subjects with prediabetes. Intensive lifestyle interventions and metformin have been studied most widely, with the lifestyle intervention being more effective in the majority of subjects. The application of therapeutic interventions at the time of prediabetes to preserve long-term outcomes has been controversial, however, due to a lack of evidence relating to the pathogenic effects of prediabetes and the effectiveness of interventions to produce a long-term clinical benefit. Recent studies have confirmed that prediabetes, however defined, is associated with a significantly increased risk of macrovascular and microvascular complications essentially identical to those of diabetes, and also with subclinical derangements of the function of microvasculature and neurons that likely signify increased risk of compilations in future. Normoglycaemia, prediabetes and type 2 diabetes appear to be part of a continuum of increased risk of adverse outcomes. Long-term (25-30 years) post-trial follow up of two major diabetes prevention trials have shown that short-term interventions to prevent diabetes lead to long-term reductions in the risk of complications. These findings support the concept of therapeutic intervention to preserve long-term health in people with prediabetes before type 2 diabetes becomes established.
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Zhu R, Jalo E, Silvestre MP, Poppitt SD, Handjieva-Darlenska T, Handjiev S, Huttunen-Lenz M, Mackintosh K, Stratton G, Navas-Carretero S, Pietiläinen KH, Simpson E, Macdonald IA, Muirhead R, Brand-Miller J, Fogelholm M, Færch K, Martinez JA, Westerterp-Plantenga MS, Adam TC, Raben A. Does the Effect of a 3-Year Lifestyle Intervention on Body Weight and Cardiometabolic Health Differ by Prediabetes Metabolic Phenotype? A Post Hoc Analysis of the PREVIEW Study. Diabetes Care 2022; 45:2698-2708. [PMID: 35696263 DOI: 10.2337/dc22-0549] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Accepted: 04/25/2022] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To examine whether the effect of a 3-year lifestyle intervention on body weight and cardiometabolic risk factors differs by prediabetes metabolic phenotype. RESEARCH DESIGN AND METHODS This post hoc analysis of the multicenter, randomized trial, PREVention of diabetes through lifestyle interventions and population studies In Europe and around the World (PREVIEW), included 1,510 participants with prediabetes (BMI ≥25 kg ⋅ m-2; defined using oral glucose tolerance tests). Of these, 58% had isolated impaired fasting glucose (iIFG), 6% had isolated impaired glucose tolerance (iIGT), and 36% had IFG+IGT; 73% had normal hemoglobin A1c (HbA1c; <39 mmol ⋅ mol-1) and 25% had intermediate HbA1c (39-47 mmol ⋅ mol-1). Participants underwent an 8-week diet-induced rapid weight loss, followed by a 148-week lifestyle-based weight maintenance intervention. Linear mixed models adjusted for intervention arm and other confounders were used. RESULTS In the available-case and complete-case analyses, participants with IFG+IGT had greater sustained weight loss after lifestyle intervention (adjusted mean at 156 weeks -3.5% [95% CI, -4.7%, -2.3%]) than those with iIFG (mean -2.5% [-3.6%, -1.3%]) relative to baseline (P = 0.011). Participants with IFG+IGT and iIFG had similar cardiometabolic benefits from the lifestyle intervention. The differences in cardiometabolic benefits between those with iIGT and IFG+IGT were minor or inconsistent in different analyses. Participants with normal versus intermediate HbA1c had similar weight loss over 3 years and minor differences in cardiometabolic benefits during weight loss, whereas those with normal HbA1c had greater improvements in fasting glucose, 2-h glucose (adjusted between-group difference at 156 weeks -0.54 mmol ⋅ L-1 [95% CI -0.70, -0.39], P < 0.001), and triglycerides (difference -0.07 mmol ⋅ L-1 [-0.11, -0.03], P < 0.001) during the lifestyle intervention. CONCLUSIONS Individuals with iIFG and IFG+IGT had similar improvements in cardiometabolic health from a lifestyle intervention. Those with normal HbA1c had greater improvements than those with intermediate HbA1c.
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Affiliation(s)
- Ruixin Zhu
- Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Copenhagen, Denmark
| | - Elli Jalo
- Department of Food and Nutrition, University of Helsinki, Helsinki, Finland
| | - Marta P Silvestre
- Human Nutrition Unit, Department of Medicine, School of Biological Sciences, University of Auckland, Auckland, New Zealand.,Center for Health Technology and Services Research (CINTESIS), NOVA Medical School (NMS), Universidade Nova de Lisboa, Lisboa, Portugal
| | - Sally D Poppitt
- Human Nutrition Unit, Department of Medicine, School of Biological Sciences, University of Auckland, Auckland, New Zealand
| | | | - Svetoslav Handjiev
- Department of Pharmacology and Toxicology, Medical University of Sofia, Sofia, Bulgaria
| | - Maija Huttunen-Lenz
- Institute for Nursing Science, University of Education Schwäbisch Gmünd, Schwäbisch Gmünd, Germany
| | - Kelly Mackintosh
- Applied Sports, Technology, Exercise and Medicine (A-STEM) Research Centre, Swansea University, Swansea, U.K
| | - Gareth Stratton
- Applied Sports, Technology, Exercise and Medicine (A-STEM) Research Centre, Swansea University, Swansea, U.K
| | - Santiago Navas-Carretero
- Centre for Nutrition Research, University of Navarra, Pamplona, Spain.,Centro de Investigacion Biomedica en Red Area de Fisiologia de la Obesidad y la Nutricion (CIBEROBN), Madrid, Spain.,Instituto de Investigación Sanitaria de Navarra (IdiSNA) Instituto for Health Research, Pamplona, Spain
| | - Kirsi H Pietiläinen
- Obesity Research Unit, Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland.,Abdominal Center, Endocrinology, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Elizabeth Simpson
- Division of Physiology, Pharmacology and Neuroscience, School of Life Sciences, Queen's Medical Centre, Medical Research Council (MRC)/Alzheimer's Research UK (ARUK) Centre for Musculoskeletal Ageing Research, ARUK Centre for Sport, Exercise and Osteoarthritis, National Institute for Health Research (NIHR) Nottingham Biomedical Research Centre, Nottingham, U.K
| | - Ian A Macdonald
- Division of Physiology, Pharmacology and Neuroscience, School of Life Sciences, Queen's Medical Centre, Medical Research Council (MRC)/Alzheimer's Research UK (ARUK) Centre for Musculoskeletal Ageing Research, ARUK Centre for Sport, Exercise and Osteoarthritis, National Institute for Health Research (NIHR) Nottingham Biomedical Research Centre, Nottingham, U.K
| | - Roslyn Muirhead
- School of Life and Environmental Sciences and Charles Perkins Centre, The University of Sydney, Sydney, Australia
| | - Jennie Brand-Miller
- School of Life and Environmental Sciences and Charles Perkins Centre, The University of Sydney, Sydney, Australia
| | - Mikael Fogelholm
- Department of Food and Nutrition, University of Helsinki, Helsinki, Finland
| | - Kristine Færch
- Clinical Research, Copenhagen University Hospital-Steno Diabetes Center Copenhagen, Herlev, Denmark.,Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - J Alfredo Martinez
- Centro de Investigacion Biomedica en Red Area de Fisiologia de la Obesidad y la Nutricion (CIBEROBN), Madrid, Spain.,Department of Nutrition and Physiology, University of Navarra, Pamplona, Spain.,Precision Nutrition and Cardiometabolic Health Program, IMDEA-Food Institute (Madrid Institute for Advanced Studies), Campus of International Excellence (CEI) Universidad Autónoma de Madrid (UAM) + Consejo Superior de Investigaciones Científicas (CSIC), Madrid, Spain
| | - Margriet S Westerterp-Plantenga
- Department of Nutrition and Movement Sciences, NUTRIM, School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, the Netherlands
| | - Tanja C Adam
- Department of Nutrition and Movement Sciences, NUTRIM, School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, the Netherlands
| | - Anne Raben
- Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Copenhagen, Denmark.,Clinical Research, Copenhagen University Hospital-Steno Diabetes Center Copenhagen, Herlev, Denmark
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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: 0] [Impact Index Per Article: 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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Yun JS, Jung SH, Shivakumar M, Xiao B, Khera AV, Park WY, Won HH, Kim D. Associations between polygenic risk of coronary artery disease and type 2 diabetes, lifestyle, and cardiovascular mortality: A prospective UK Biobank study. Front Cardiovasc Med 2022; 9:919374. [PMID: 36061534 PMCID: PMC9428483 DOI: 10.3389/fcvm.2022.919374] [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] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Accepted: 07/11/2022] [Indexed: 11/29/2022] Open
Abstract
Background Previous studies primarily targeted the ability of polygenic risk scores (PRSs) to predict a specific disease, and only a few studies have investigated the association between genetic risk scores and cardiovascular (CV) mortality. We assessed PRSs for coronary artery disease (CAD) and type 2 diabetes (T2DM) as the predictive factors for CV mortality, independent of traditional risk factors, and further investigated the additive effect between lifestyle behavior and PRS on CV mortality. Methods We used genetic and phenotypic data from UK Biobank participants aged 40-69 years at baseline, collected with standardized procedures. Genome-wide PRSs were constructed using >6 million genetic variants. Cox proportional hazard models were used to analyze the relationship between PRS and CV mortality with stratification by age, sex, disease status, and lifestyle behavior. Results Of 377,909 UK Biobank participants having European ancestry, 3,210 (0.8%) died due to CV disease during a median follow-up of 8.9 years. CV mortality risk was significantly associated with CAD PRS [low vs. very high genetic risk groups, CAD PRS hazard ratio (HR) 2.61 (2.02-3.36)] and T2DM PRS [HR 2.08 (1.58-2.73)], respectively. These relationships remained significant even after an adjustment for a comprehensive range of demographic and clinical factors. In the very high genetic risk group, adherence to an unfavorable lifestyle was further associated with a substantially increased risk of CV mortality [favorable vs. unfavorable lifestyle with very high genetic risk for CAD PRS, HR 8.31 (5.12-13.49); T2DM PRS, HR 5.84 (3.39-10.04)]. Across all genetic risk groups, 32.1% of CV mortality was attributable to lifestyle behavior [population attributable fraction (PAF) 32.1% (95% CI 28.8-35.3%)] and 14.1% was attributable to smoking [PAF 14.1% (95% CI 12.4-15.7%)]. There was no evidence of significant interaction between PRSs and age, sex, or lifestyle behavior in predicting the risk of CV mortality. Conclusion PRSs for CAD or T2DM and lifestyle behaviors are the independent predictive factors for future CV mortality in the white, middle-aged population. PRS-based risk assessment could be useful to identify the individuals who need intensive behavioral or therapeutic interventions to reduce the risk of CV mortality.
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Affiliation(s)
- Jae-Seung Yun
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
- Division of Endocrinology and Metabolism, Department of Internal Medicine, St. Vincent's Hospital, College of Medicine, The Catholic University of Korea, Seoul, South Korea
| | - Sang-Hyuk Jung
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
- Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Samsung Medical Center, Sungkyunkwan University, Seoul, South Korea
- Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, PA, United States
| | - Manu Shivakumar
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
- Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, PA, United States
- Genomics and Computational Biology Graduate Group, University of Pennsylvania, Philadelphia, PA, United States
| | - Brenda Xiao
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
- Genomics and Computational Biology Graduate Group, University of Pennsylvania, Philadelphia, PA, United States
| | - Amit V. Khera
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, United States
| | - Woong-Yang Park
- Samsung Genome Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Hong-Hee Won
- Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Samsung Medical Center, Sungkyunkwan University, Seoul, South Korea
- Samsung Genome Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Dokyoon Kim
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
- Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, PA, United States
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35
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Cao Q, Xin Z, He R, Wang T, Xu M, Lu J, Dai M, Zhang D, Chen Y, Zhao Z, Wang S, Lin H, Wang W, Ning G, Bi Y, Xu Y, Li M. Age-specific difference in the association between prediabetes and subclinical atherosclerosis: an analysis of a chinese prospective cohort study. Cardiovasc Diabetol 2022; 21:153. [PMID: 35948892 PMCID: PMC9364510 DOI: 10.1186/s12933-022-01592-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Accepted: 08/05/2022] [Indexed: 11/10/2022] Open
Abstract
Background Prediabetes is an important risk factor of cardiovascular disease (CVD) and is associated with subclinical atherosclerosis. However, the evidence of prediabetes as a cardiovascular risk factor is mainly derived from middle-aged adults. Recently, multiple studies supported that prediabetes in older adults would not lead to higher risk of CVD or mortality. We aimed to investigate the age-specific difference in the association between prediabetes and subclinical atherosclerosis in a Chinese prospective cohort study. Methods We included 4739 individuals aged ≥ 40 years and without diagnosed diabetes or CVD history, and divided them into middle-aged adults (age < 60) and older adults (age ≥ 60). Fasting plasma glucose (FPG), 2-h post-load plasma glucose (2 h-PPG) and glycated hemoglobin (HbA1c) were measured at baseline to identify prediabetes status. At follow-up visits, subclinical atherosclerosis status was assessed by branchial-ankle pulse wave velocity (baPWV) and carotid intima-media thickness (CIMT). Logistic regression analysis, restricted cubic splines and cross-lagged path analysis were used in statistical analysis. Results 1634 participants aged over 60 years, and 64.3% of them had prediabetes. 3105 participants aged 40–59 years, and 49.3% of them had prediabetes. We found that prediabetes was associated with increased risk of subclinical atherosclerosis in middle-aged adults, but the association attenuated substantially in older adults. Impaired glucose tolerance (IGT), compared to normal glucose tolerance, was associated with 39% lower risk of increased baPWV only in older adults. In accordance, the association between 2 h-PPG and risk of increased baPWV was “U-shaped” in older adults, while risk of elevated baPWV increased linearly with 2 h-PPG in middle-aged adults. In the cross-lagged analysis, increase in FPG and 2 h-PPG tended not to precede increase in baPWV in older adults, but appeared to increase simultaneously with baPWV in middle-aged ones. Conclusion Our results indicated that prediabetes might be less related to subclinical atherosclerosis in older adults than in middle-aged adults and suggested that age was important to consider in the care of adults with prediabetes. Supplementary Information The online version contains supplementary material available at 10.1186/s12933-022-01592-8.
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Affiliation(s)
- Qiuyu Cao
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhuojun Xin
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ruixin He
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Tiange Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Min Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jieli Lu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Meng Dai
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Di Zhang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yuhong Chen
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhiyun Zhao
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shuangyuan Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hong Lin
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Weiqing Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Guang Ning
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yufang Bi
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. .,Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Yu Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. .,Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Mian Li
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. .,Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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Gumede N, Ngubane P, Khathi A. Assessing the risk factors for myocardial infarction in diet-induced prediabetes: myocardial tissue changes. BMC Cardiovasc Disord 2022; 22:350. [PMID: 35918636 PMCID: PMC9347129 DOI: 10.1186/s12872-022-02758-8] [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: 01/07/2022] [Accepted: 04/19/2022] [Indexed: 11/24/2022] Open
Abstract
Background Hyperglycaemia is known to result in oxidative stress tissue injury and dysfunction. Interestingly, studies have reported hepatic and renal oxidative stress injury during prediabetes; however, any injury to the myocardium during prediabetes has not been investigated. Hence this study aims to assess changes in the myocardial tissue in an HFHC diet-induced model of prediabetes. Methods Male Sprague Dawley rats were randomly grouped into non-prediabetes and prediabetes (n = 6 in each group) and consumed a standard rat chow or fed a high-fat-high-carbohydrate diet respectively for a 20-week prediabetes induction period. Post induction, prediabetes was confirmed using the ADA criteria. Aldose reductase, NADH oxidase 1, superoxide dismutase, glutathione peroxide, cardiac troponins were analysed in cardiac tissue homogenate using specific ELISA kits. Lipid peroxidation was estimated by determining the concentration of malondialdehyde in the heart tissue homogenate according to the previously described protocol. Myocardial tissue sections were stained with H&E stain and analysed using Leica microsystem. All data were expressed as means ± SEM. Statistical comparisons were performed with Graph Pad instat Software using the Student's two-sided t-test. Pearson correlation coefficient was calculated to assess the association. Value of p < 0.05 was considered statistically significant. Results The prediabetes group showed a markedly high oxidative stress as indicated by significantly increased NADH oxidase 1 and malondialdehyde while superoxide dismutase and glutathione peroxide were decreased compared to non-prediabetes group. There was no statistical difference between cardiac troponin I and T in the non-prediabetes and prediabetes groups. Cardiac troponins had a weak positive association with glycated haemoglobin. Conclusion The findings of this study demonstrate that prediabetes is associated with myocardial injury through oxidative stress. Future studies are to investigate cardiac contractile function and include more cardiac biomarkers. Supplementary Information The online version contains supplementary material available at 10.1186/s12872-022-02758-8.
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Affiliation(s)
- Nompumelelo Gumede
- Department of Human Physiology, School of Laboratory Medicine and Medical Sciences, College of Health Sciences, University of KwaZulu-Natal, Durban, X54001, South Africa. .,Department of Human Physiology, School of Laboratory Medicine and Medical Sciences, College of Health Sciences, University of KwaZulu-Natal, Room E2 401, Westville, South Africa.
| | - Phikelelani Ngubane
- Department of Human Physiology, School of Laboratory Medicine and Medical Sciences, College of Health Sciences, University of KwaZulu-Natal, Durban, X54001, South Africa
| | - Andile Khathi
- Department of Human Physiology, School of Laboratory Medicine and Medical Sciences, College of Health Sciences, University of KwaZulu-Natal, Durban, X54001, South Africa
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Hung CC, Zhen YY, Niu SW, Lin KD, Lin HYH, Lee JJ, Chang JM, Kuo IC. Predictive Value of HbA1c and Metabolic Syndrome for Renal Outcome in Non-Diabetic CKD Stage 1-4 Patients. Biomedicines 2022; 10:biomedicines10081858. [PMID: 36009406 PMCID: PMC9404918 DOI: 10.3390/biomedicines10081858] [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: 05/26/2022] [Revised: 07/26/2022] [Accepted: 07/28/2022] [Indexed: 11/16/2022] Open
Abstract
Glycated hemoglobin (HbA1c) levels are commonly used to indicate long-term glycemic control. An HbA1c level of 6.5−5.7% is defined as pre-diabetes and is proposed as a criterion for diagnosing metabolic syndrome (MetS). However, HbA1c levels can be affected by chronic kidney disease (CKD). Whether HbA1c is associated with clinical outcomes in nondiabetic CKD patients with or without MetS is still unknown. This study included 1270 nondiabetic CKD stage 1−4 Asian patients, divided by HbA1c and MetS. Through linear regression, HbA1c was positively associated with age, waist circumference, hemoglobin levels, and C-reactive protein and was negatively associated with malnutrition−inflammation. HbA1c levels were 5.5% (0.6%) and 5.7% (0.6%) in non-MetS and MetS, respectively (p < 0.001). In Cox regression, higher-level HbA1c was associated with worse composite renal outcome in MetS patients, but with better renal outcome in non-MetS patients: Hazard ratio (HR) (95% confidence interval [CI]) of HbA1c ≥5.7%, compared with HbA1c <5%, was 2.00 (1.06−3.78) in MetS and 0.25 (0.14−0.45) in non-MetS. An association between HbA1c and all-cause mortality was not found. In conclusion, higher HbA1c levels are associated with worse renal outcomes in nondiabetic CKD stage 1−4 patients modified by the presence of MetS.
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Affiliation(s)
- Chi-Chih Hung
- Division of Nephrology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 807, Taiwan; (C.-C.H.); (Y.-Y.Z.); (S.-W.N.); (H.Y.-H.L.); (J.-J.L.); (J.-M.C.)
| | - Yen-Yi Zhen
- Division of Nephrology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 807, Taiwan; (C.-C.H.); (Y.-Y.Z.); (S.-W.N.); (H.Y.-H.L.); (J.-J.L.); (J.-M.C.)
| | - Sheng-Wen Niu
- Division of Nephrology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 807, Taiwan; (C.-C.H.); (Y.-Y.Z.); (S.-W.N.); (H.Y.-H.L.); (J.-J.L.); (J.-M.C.)
- Department of Internal Medicine, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University, Kaohsiung 801, Taiwan
| | - Kun-Der Lin
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 807, Taiwan;
| | - Hugo You-Hsien Lin
- Division of Nephrology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 807, Taiwan; (C.-C.H.); (Y.-Y.Z.); (S.-W.N.); (H.Y.-H.L.); (J.-J.L.); (J.-M.C.)
- Department of Internal Medicine, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University, Kaohsiung 801, Taiwan
| | - Jia-Jung Lee
- Division of Nephrology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 807, Taiwan; (C.-C.H.); (Y.-Y.Z.); (S.-W.N.); (H.Y.-H.L.); (J.-J.L.); (J.-M.C.)
| | - Jer-Ming Chang
- Division of Nephrology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 807, Taiwan; (C.-C.H.); (Y.-Y.Z.); (S.-W.N.); (H.Y.-H.L.); (J.-J.L.); (J.-M.C.)
| | - I-Ching Kuo
- Division of Nephrology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 807, Taiwan; (C.-C.H.); (Y.-Y.Z.); (S.-W.N.); (H.Y.-H.L.); (J.-J.L.); (J.-M.C.)
- Department of Internal Medicine, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University, Kaohsiung 801, Taiwan
- Correspondence:
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Arranz-Martínez E, Ruiz-García A, García Álvarez JC, Fernández Vicente T, Iturmendi Martínez N, Rivera-Teijido M. Prevalence of prediabetes and association with cardiometabolic and renal factors. SIMETAP-PRED study. CLINICA E INVESTIGACION EN ARTERIOSCLEROSIS : PUBLICACION OFICIAL DE LA SOCIEDAD ESPANOLA DE ARTERIOSCLEROSIS 2022; 34:193-204. [PMID: 35120792 DOI: 10.1016/j.arteri.2021.12.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/12/2021] [Revised: 11/29/2021] [Accepted: 12/01/2021] [Indexed: 06/14/2023]
Abstract
INTRODUCTION Prediabetes is a major public health problem. The aims of the SIMETAP-PRED study were to determine the prevalence rates of prediabetes according to two diagnostic criteria, and to compare the association of cardiometabolic and renal risk factors between populations with and without prediabetes. METHODS Cross-sectional observational study conducted in Primary Care. Based random sample: 6,588 study subjects (response rate: 66%). Two diagnostic criteria for prediabetes were used: 1) prediabetes according to the Spanish Diabetes Society (PRED-SDS): Fasting plasma glucose (FPG) 110-125mg/dL or HbA1c 6.0% -6.4%; 2) prediabetes according to the American Diabetes Association (PRED-ADA): FPG 100-125mg/dL or HbA1c 5.7%-6.4%. The crude and sex- and age-adjusted prevalence rates, and cardiometabolic and renal variables associated with prediabetes were assessed. RESULTS The crude prevalence rates of PRED-SDS and PRED-ADA were 7.9% (95% CI 7.3-8.6%), and 22.0% (95% CI 21.0-23.0%) respectively, their age-adjusted prevalence rates were 6.6% and 19.1 respectively. The high or very high cardiovascular risk of the PRED-SDS or PRED-ADA populations were 68.6% (95%CI 64.5-72.6%) and 61.7% (95%CI 59.1-64.1%) respectively. Hypertension, hypertriglyceridemia, overweight, obesity, and increased waist-to-height ratio were independently associated with PRED-SDS. In addition to these factors, low glomerular filtration rate and hypercholesterolemia were also independently associated with PRED-ADA. CONCLUSIONS The prevalence of PRED-ADA triples that of PRED-SDS. Two thirds of the population with prediabetes had a high cardiovascular risk. Several cardiometabolic and renal risk factors were associated with prediabetes. Compared to the SDS criteria, the ADA criteria make the diagnosis of prediabetes easier.
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Affiliation(s)
| | - Antonio Ruiz-García
- Unidad de Lípidos y Prevención Cardiovascular, Centro de Salud Universitario Pinto, Pinto, Madrid, España.
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Kirthi V, Nderitu P, Alam U, Evans JR, Nevitt S, Malik RA, Hopkins D, Jackson TL. The prevalence of retinopathy in prediabetes: A systematic review. Surv Ophthalmol 2022; 67:1332-1345. [DOI: 10.1016/j.survophthal.2022.04.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Revised: 04/07/2022] [Accepted: 04/11/2022] [Indexed: 12/21/2022]
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Finocchio T, Surbhi S, Madlock-Brown C. Time to Development of Overt Diabetes and Macrovascular and Microvascular Complications Among Patients With Prediabetes: A Retrospective Cohort Study. Cureus 2021; 13:e20079. [PMID: 34987939 PMCID: PMC8719530 DOI: 10.7759/cureus.20079] [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] [Accepted: 12/01/2021] [Indexed: 11/15/2022] Open
Abstract
Objective In this study, we aimed to determine the effect of age, gender, race, and obesity on the development of overt diabetes and macro/microvascular events among patients with prediabetes. Methods This was a retrospective cohort study of patient records available through a national electronic health record (EHR) database from 2012 to 2017. Patients with prediabetes in the baseline year of 2012 were identified. Macro/microvascular events were defined as the diagnosis of myocardial infarction (MI), stroke, or chronic kidney disease (CKD). The effects of age, gender, race, and obesity on the incidence of diabetes and macro/microvascular events between 2013-2017 were assessed using the multivariate Cox proportional-hazards model. Results Among the total 5,230 patients with prediabetes in 2012, 16.7% developed overt diabetes, and 19.7% developed a macro/microvascular event. Elderly patients (HR: 2.96, 95% CI: 2.12-4.13), males (HR: 1.38, 95% CI: 1.20-1.59), and African-Americans (HR: 1.47, 95% CI: 1.26-1.73) were at a higher risk of experiencing a macro/microvascular event. Additionally, male gender (HR: 1.27, 95% CI: 1.11-1.46) and obesity (HR: 1.24, 95% CI: 1.08-1.43) were significant factors associated with the development of overt diabetes. Furthermore, when diabetes status was added as an interaction term to the Cox proportional-hazards model, no statistical difference was found with respect to any of the other independent variables. It can therefore be inferred that those with prediabetes and overt diabetes had a similar risk of developing macro/microvascular events. Conclusions Based on our findings, factors including advanced age, obesity, male gender, and African race significantly impact the progression to diabetes and associated macro/microvascular events.
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Affiliation(s)
- Tyler Finocchio
- Department of Pharmacy Services, Yale New Haven Hospital, New Haven, USA
| | - Satya Surbhi
- Department of General Internal Medicine, College of Medicine, The University of Tennessee Health Science Center, Memphis, USA
| | - Charisse Madlock-Brown
- Health Informatics and Information Management, The University of Tennessee Health Science Center, Memphis, USA
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Lee CG, Heckman-Stoddard B, Dabelea D, Gadde KM, Ehrmann D, Ford L, Prorok P, Boyko EJ, Pi-Sunyer X, Wallia A, Knowler WC, Crandall JP, Temprosa M. Effect of Metformin and Lifestyle Interventions on Mortality in the Diabetes Prevention Program and Diabetes Prevention Program Outcomes Study. Diabetes Care 2021; 44:2775-2782. [PMID: 34697033 PMCID: PMC8669534 DOI: 10.2337/dc21-1046] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Accepted: 09/20/2021] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To determine whether metformin or lifestyle modification can lower rates of all-cause and cause-specific mortality in the Diabetes Prevention Program and Diabetes Prevention Program Outcomes Study. RESEARCH DESIGN AND METHODS From 1996 to 1999, 3,234 adults at high risk for type 2 diabetes were randomized to an intensive lifestyle intervention, masked metformin, or placebo. Placebo and lifestyle interventions stopped in 2001, and a modified lifestyle program was offered to everyone, but unmasked study metformin continued in those originally randomized. Causes of deaths through 31 December 2018 were adjudicated by blinded reviews. All-cause and cause-specific mortality hazard ratios (HRs) were estimated from Cox proportional hazards regression models and Fine-Gray models, respectively. RESULTS Over a median of 21 years (interquartile range 20-21), 453 participants died. Cancer was the leading cause of death (n = 170), followed by cardiovascular disease (n = 131). Compared with placebo, metformin did not influence mortality from all causes (HR 0.99 [95% CI 0.79, 1.25]), cancer (HR 1.04 [95% CI 0.72, 1.52]), or cardiovascular disease (HR 1.08 [95% CI 0.70, 1.66]). Similarly, lifestyle modification did not impact all-cause (HR 1.02 [95% CI 0.81, 1.28]), cancer (HR 1.07 [95% CI 0.74, 1.55]), or cardiovascular disease (HR 1.18 [95% CI 0.77, 1.81]) mortality. Analyses adjusted for diabetes status and duration, BMI, cumulative glycemic exposure, and cardiovascular risks yielded results similar to those for all-cause mortality. CONCLUSIONS Cancer was the leading cause of mortality among adults at high risk for type 2 diabetes. Although metformin and lifestyle modification prevented diabetes, neither strategy reduced all-cause, cancer, or cardiovascular mortality rates.
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Affiliation(s)
- Christine G Lee
- Division of Diabetes, Endocrinology and Metabolic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD
| | - Brandy Heckman-Stoddard
- Division of Cancer Prevention, National Cancer Institute, National Institutes of Health, Rockville, MD
| | - Dana Dabelea
- Department of Epidemiology and Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO
| | | | | | - Leslie Ford
- Division of Cancer Prevention, National Cancer Institute, National Institutes of Health, Rockville, MD
| | - Philip Prorok
- Division of Cancer Prevention, National Cancer Institute, National Institutes of Health, Rockville, MD
| | - Edward J Boyko
- Epidemiologic Research and Information Center, VA Puget Sound Health Care System, Seattle
| | | | - Amisha Wallia
- Division of Endocrinology, Metabolism and Molecular Medicine, Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL
| | - William C Knowler
- Diabetes Epidemiology and Clinical Research Section, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, AZ
| | - Jill P Crandall
- Division of Endocrinology and Fleischer Institute for Diabetes and Metabolism, Albert Einstein College of Medicine, Bronx, NY
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Li M, Zhao Z, Qin G, Chen L, Lu J, Huo Y, Chen L, Zeng T, Xu M, Chen Y, Wang T, Wang S, Xu Y, Shi L, Tang X, Su Q, Yu X, Yan L, Wan Q, Chen G, Gao Z, Wang G, Shen F, Luo Z, Zhang Y, Liu C, Wang Y, Hu R, Ye Z, Wu S, Deng H, Yang T, Li Q, Qin Y, Mu Y, Zhao J, Ning G, Bi Y, Xu Y, Wang W. Non-alcoholic fatty liver disease, metabolic goal achievement with incident cardiovascular disease and eGFR-based chronic kidney disease in patients with prediabetes and diabetes. Metabolism 2021; 124:154874. [PMID: 34517014 DOI: 10.1016/j.metabol.2021.154874] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Revised: 08/27/2021] [Accepted: 08/29/2021] [Indexed: 02/07/2023]
Abstract
AIMS/HYPOTHESIS We aimed to evaluate the effect of NAFLD on the risk of incident cardiovascular disease (CVD) and estimated glomerular filtration rate (eGFR)-based chronic kidney disease (CKD), and further test the joint effects and interactions between NAFLD status and individual metabolic element, as well as the total 'ABCs' metabolic goal achievement, on the CVD and CKD risk among 101,296 patients with prediabetes or diabetes from a prospective cohort study. METHODS We conducted the study based on the China Cardiometabolic Disease and Cancer Cohort (4C) study, a large-scale, population-based prospective cohort. After excluding alcohol abuse and other cause of hepatic diseases, we used fatty liver index (FLI) ≥ 60 as a proxy of NAFLD and stratified the probability of fibrosis by aspartate transaminase/alanine transaminase ratio (AAR) with cut-offs of 0.8 and 1.4. 'ABCs' metabolic goal was defined as subjects who had HbA1c < 6.5% (A), SBP/DBP < 130/80 mmHg (B), and LDL-C < 100 mg/dL (C). During 3.8 years follow-up, we validated 2340 CVD events based on medical records and identified 1943 participants developed CKD based on centrally tested eGFR. RESULTS The multivariable adjusted hazard ratios (HRs) were 1.15 (95% confidence interval (CI), 1.05-1.27) for CVD events and 1.33 (95% CI, 1.20-1.48) for CKD among NAFLD patients, compared with participants without NAFLD. Of NAFLD patients, relative to individuals with low AAR (<0.8), those with high AAR (≥1.4) were more likely to experience CVD events [1.62 (1.21-2.18)] and CKD [1.63 (1.17-2.28)]. Participants with NAFLD and comorbid poorly controlled metabolic risk factors had higher risk of CVD events or CKD than having either alone, with a significant interaction between poor glycemic control and NAFLD on the risk of vascular complications. CONCLUSIONS NAFLD was associated with incident CVD and CKD among patients with prediabetes or diabetes. Such associations were substantially modified by the comprehensive achievement of metabolic goal.
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Affiliation(s)
- Mian Li
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200025, China
| | - Zhiyun Zhao
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200025, China
| | - Guijun Qin
- The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Li Chen
- Qilu Hospital of Shandong University, Jinan, China
| | - Jieli Lu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200025, China
| | - Yanan Huo
- Jiangxi Provincial People's Hospital Affiliated to Nanchang University, Nanchang, China
| | - Lulu Chen
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Tianshu Zeng
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Min Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200025, China
| | - Yuhong Chen
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200025, China
| | - Tiange Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200025, China
| | - Shuangyuan Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200025, China
| | - Yiping Xu
- Clinical Trials Center, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Lixin Shi
- Affiliated Hospital of Guiyang Medical College, Guiyang, China
| | - Xulei Tang
- The First Hospital of Lanzhou University, Lanzhou, China
| | - Qing Su
- Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Xuefeng Yu
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Li Yan
- Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Qin Wan
- The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Gang Chen
- Fujian Provincial Hospital, Fujian Medical University, Fuzhou, China
| | - Zhengnan Gao
- Dalian Municipal Central Hospital, Dalian, China
| | - Guixia Wang
- The First Hospital of Jilin University, Changchun, China
| | - Feixia Shen
- The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Zuojie Luo
- The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Yinfei Zhang
- Central Hospital of Shanghai Jiading District, Shanghai, China
| | - Chao Liu
- Jiangsu Province Hospital on Integration of Chinese and Western Medicine, Nanjing, China
| | - Youmin Wang
- The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Ruying Hu
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Zhen Ye
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Shengli Wu
- Karamay Municipal People's Hospital, Xinjiang, China
| | - Huacong Deng
- The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Tao Yang
- The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Qiang Li
- The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Yingfen Qin
- The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Yiming Mu
- Chinese People's Liberation Army General Hospital, Beijing, China
| | - Jiajun Zhao
- Shandong Provincial Hospital Affiliated to Shandong University, Jinan, China
| | - Guang Ning
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200025, China
| | - Yufang Bi
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200025, China.
| | - Yu Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200025, China.
| | - Weiqing Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200025, China.
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Lee SH, Han K, Kwon HS, Kim MK. Frequency of Exposure to Impaired Fasting Glucose and Risk of Mortality and Cardiovascular Outcomes. Endocrinol Metab (Seoul) 2021; 36:1007-1015. [PMID: 34674499 PMCID: PMC8566122 DOI: 10.3803/enm.2021.1218] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Accepted: 09/02/2021] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND Metabolic abnormalities, such as impaired fasting glucose (IFG), are dynamic phenomena; however, it is unclear whether the timing of IFG exposure and cumulative exposure to IFG are related to cardiovascular disease (CVD) and mortality risk. METHODS Data were extracted from a nationwide population-based cohort in South Korea for adults (n=2,206,679) who were free of diabetes and had 4 years of consecutive health examination data. Fasting blood glucose levels of 100 to 125 mg/dL were defined as IFG, and the number of IFG diagnoses for each adult in the 4-year period was tabulated as the IFG exposure score (range, 0 to 4). Adults with persistent IFG for the 4-year period received a score of 4. RESULTS The median follow-up was 8.2 years. There were 24,820 deaths, 13,502 cases of stroke, and 13,057 cases of myocardial infarction (MI). IFG exposure scores of 1, 2, 3, and 4 were associated with all-cause mortality (multivariable-adjusted hazard ratio [aHR], 1.11; 95% confidence interval [CI], 1.08 to 1.15; aHR, 1.16; 95% CI, 1.12 to 1.20; aHR, 1.20; 95% CI, 1.15 to 1.25; aHR, 1.18; 95% CI, 1.11 to 1.25, respectively) compared with an IFG exposure score of 0. Adjusting for hypertension and dyslipidemia attenuated the slightly increased risk of MI or stroke associated with high IFG exposure scores, but significant associations for allcause mortality remained. CONCLUSION The intensity of IFG exposure was associated with an elevated risk of all-cause mortality, independent of cardiovascular risk factors. The association between IFG exposure and CVD risk was largely mediated by the coexistence of dyslipidemia and hypertension.
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Affiliation(s)
- Seung-Hwan Lee
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul,
Korea
| | - Kyungdo Han
- Department of Statistics and Actuarial Science, Soongsil University, Seoul,
Korea
| | - Hyuk-Sang Kwon
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Yeouido St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul,
Korea
| | - Mee Kyoung Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Yeouido St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul,
Korea
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Colagiuri S. Definition and Classification of Diabetes and Prediabetes and Emerging Data on Phenotypes. Endocrinol Metab Clin North Am 2021; 50:319-336. [PMID: 34399948 DOI: 10.1016/j.ecl.2021.06.004] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Diabetes diagnosis has important implications for individuals. Diagnostic criteria for fasting and 2-hour plasma glucose and HbA1c are universally agreed. Intermediate hyperglycemia/prediabetes is a risk factor for diabetes and cardiovascular disease. Because risk is a continuum, determining cut-point is problematic and reflected in significant differences in recommended fasting glucose and HbA1c criteria. Many types of diabetes are recognized. Diabetes classification systems are limited by a lack of understanding of etiopathogenetic pathways leading to diminished β-cell function. The World Health Organization classification system is designed to assist clinical care decisions. Newly recognized phenotypic clusters of diabetes might inform future classification systems.
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Affiliation(s)
- Stephen Colagiuri
- Boden Collaboration, Charles Perkins Centre, The University of Sydney, Sydney, New South Wales 2006, Australia.
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Busquets-Cortés C, Bennasar-Veny M, López-González AA, Fresneda S, Aguiló A, Yanez A. Fatty liver index and progression to type 2 diabetes: a 5-year longitudinal study in Spanish workers with pre-diabetes. BMJ Open 2021; 11:e045498. [PMID: 34433590 PMCID: PMC8388308 DOI: 10.1136/bmjopen-2020-045498] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
OBJECTIVE The main aim of the study was to evaluate the association between non-alcoholic fatty liver disease (NAFLD), estimated by fatty liver index (FLI), and the development of type 2 diabetes (T2D) in a large cohort of adult workers with pre-diabetes. DESIGN Prospective cohort study. SETTING Occupational health services from Spain. PARTICIPANTS 16 648 adult workers (aged 20-65 years) with pre-diabetes (fasting plasma glucose (FPG) of 100-125 mg/dL). OUTCOME AND MEASURES FLI was calculated based on measurements of triglycerides, body mass index, waist circumference and γ-glutamyltransferase. The population was classified into three categories: FLI<30 (no hepatic steatosis), FLI 30-60 (intermediate status) and FLI>60 (hepatic steatosis). Sociodemographic, anthropometric, dietary habits, physical activity and clinical data were collected from all subjects. The incidence rate of T2D was determined after 5 years of follow-up. RESULTS After 5 years of follow-up, 3706 of the 16 648 participants (22.2%) were diagnosed with T2D, corresponding to an annual rate of progression of 4.5%. FLI was strongly associated with T2D conversion. The incidence rates of T2D in the FLI<30, FLI 30-60 and FLI>60 groups were significantly different after 5 years of follow-up were 19/6,421 (0.3%), 338/4,318 (7.8%) and 3,349/5,909 (56.7%), respectively. This association remained significant for FLI>60 after adjustment for, age, diet, physical activity, FPG, blood pressure, social class and smoking habits (adjusted HR=6.879; 95% CI 5.873 to 8.057 for men, and HR=5.806; 95% CI 4.863 to 6.932 for women). CONCLUSION NAFLD assessed by FLI independently predicted the risk of conversion to T2D among people with pre-diabetes. FLI may be an easily determined and valuable early predictor for T2D in people with pre-diabetes. FLI-based assessment of NAFLD in subjects with pre-diabetes in routine clinical practice could allow the adoption of effective measures to prevent and reduce their progression to T2D.
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Affiliation(s)
- Carla Busquets-Cortés
- Nursing and Physiotherapy Department, University of the Balearic Islands, Palma de Mallorca, Illes Balears, Spain
- Escuela Universitaria ADEMA, Palma, Illes Balears, Spain
| | - Miquel Bennasar-Veny
- Nursing and Physiotherapy Department, University of the Balearic Islands, Palma de Mallorca, Illes Balears, Spain
- Global Health and Lifestyles research group, Insitut d'Investigació Sanitària Illes Balears (IdISBa), Palma, Spain
- CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Angel-Arturo López-González
- Escuela Universitaria ADEMA, Palma, Illes Balears, Spain
- Prevention of Occupational Risks in Health Services, Balearic Islands Health Services, Palma de Mallorca, Illes Balears, Spain
| | - Sergio Fresneda
- Nursing and Physiotherapy Department, University of the Balearic Islands, Palma de Mallorca, Illes Balears, Spain
- Global Health and Lifestyles research group, Insitut d'Investigació Sanitària Illes Balears (IdISBa), Palma, Spain
| | - Antoni Aguiló
- Nursing and Physiotherapy Department, University of the Balearic Islands, Palma de Mallorca, Illes Balears, Spain
- Global Health and Lifestyles research group, Insitut d'Investigació Sanitària Illes Balears (IdISBa), Palma, Spain
| | - Aina Yanez
- Nursing and Physiotherapy Department, University of the Balearic Islands, Palma de Mallorca, Illes Balears, Spain
- Global Health and Lifestyles research group, Insitut d'Investigació Sanitària Illes Balears (IdISBa), Palma, Spain
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Witkowski M, Wu Y, Hazen SL, Tang WHW. Prognostic value of subclinical myocardial necrosis using high-sensitivity cardiac troponin T in patients with prediabetes. Cardiovasc Diabetol 2021; 20:171. [PMID: 34419046 PMCID: PMC8379781 DOI: 10.1186/s12933-021-01365-9] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Accepted: 08/15/2021] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Risk stratification of patients with prediabetes is an unmet clinical need. Here, we examine the utility of subclinical myocardial necrosis assessed by high-sensitivity cardiac troponin T (hs-cTnT) in predicting health outcomes in stable subjects with prediabetes. METHODS hs-cTnT was analyzed by a high-sensitivity assay (Roche 5th generation) in 2631 stable subjects with prediabetes (HbA1c 5.7-6.4% or fasting glucose 100-125 mg/dL without previous diagnosis of diabetes or glucose-lowering therapy) who underwent elective coronary angiography for cardiac evaluation, and followed for major adverse cardiac events (MACE; death, myocardial infarction, stroke) over 3 years and all-cause mortality over 5 years. RESULTS In our study cohort, hs-cTnT was highly prevalent with a median level of 13 ng/L (interquartile range 8.2-21.6 ng/L). Hs-cTnT was independently associated with incident MACE at 3 years (Q4 vs. Q1 adjusted hazard ratio (HR) 2.42 [95% CI 1.69-3.46], P < 0.001) and 5-year mortality (adjusted HR 3.8 [95% CI 2.55-5.67], P < 0.001). This association remained significant in all subsets after adjustment for traditional risk factors and multiple factors known to increase hs-cTnT levels. Moreover, hs-cTnT independently predicted event risk in primary prevention subjects (n = 557, HR 5.46 [95% CI 1.50-19.89), p < 0.01) for MACE; HR 9.53 [95% CI 2.08-43.73] for all-cause mortality) and secondary prevention subjects (n = 2074, HR 1.86 [95% CI 1.31-2.66], P < 0.001 for MACE; and 2.7 [95% CI 1.79-4.08), P < 0.001 for all-cause mortality). CONCLUSIONS In stable prediabetic subjects, the presence of subclinical myocardial necrosis as detected by hs-cTnT portends heightened long-term adverse cardiovascular event risk. Hs-cTnT levels may help to stratify risk and improve clinical decision making in patients with prediabetes. Trial registration ClinicalTrials.gov Identifier: NCT00590200.
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Affiliation(s)
- Marco Witkowski
- Department of Cardiovascular & Metabolic Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Yuping Wu
- Department of Mathematics, Cleveland State University, Cleveland, OH, USA
| | - Stanley L Hazen
- Department of Cardiovascular & Metabolic Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA.,Department of Cardiovascular Medicine, Heart, Vascular and Thoracic Institute, Cleveland Clinic, 9500 Euclid Avenue, Desk J3-4, Cleveland, OH, 44195, USA
| | - W H Wilson Tang
- Department of Cardiovascular & Metabolic Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA. .,Department of Cardiovascular Medicine, Heart, Vascular and Thoracic Institute, Cleveland Clinic, 9500 Euclid Avenue, Desk J3-4, Cleveland, OH, 44195, USA.
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ÇAKMAK KARAASLAN Ö, ÖZİLHAN MO, ÇÖTELİ C, MADEN O. Impact of prediabetes on cardiovascular disease risk in patients with acute myocardial infarctions. ARCHIVES OF CLINICAL AND EXPERIMENTAL MEDICINE 2021. [DOI: 10.25000/acem.881170] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
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Ahmadizar F, Wang K, Aribas E, Fani L, Heshmatollah A, Ikram MK, Kavousi M. Impaired fasting glucose, type 2 diabetes mellitus, and lifetime risk of cardiovascular disease among women and men: the Rotterdam Study. BMJ Open Diabetes Res Care 2021; 9:9/1/e002406. [PMID: 34433547 PMCID: PMC8388277 DOI: 10.1136/bmjdrc-2021-002406] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Accepted: 08/15/2021] [Indexed: 12/20/2022] Open
Abstract
INTRODUCTION Data on sex-specific lifetime risk of cardiovascular disease (CVD) across the glycemic spectrum, in particular in impaired fasting glucose (IFG) state, are scarce. Whether overweight/obesity modifies the CVD burden also remains unclear. RESEARCH DESIGN AND METHODS Using a prospective population-based Rotterdam Study, normoglycemia, IFG, and type 2 diabetes mellitus (T2D) were defined. First incident cases of coronary heart disease, heart failure, and stroke during a follow-up time until January 1, 2015 were identified and formed the composite CVD end point. The remaining lifetime risks of CVD were estimated in each glucose category at 55, 65, 75, and 85 years of age, using a modified version of survival analysis adjusted for the competing risk of death. RESULTS Among 5698 women and 3803 men free of CVD at baseline, the mean age was 64.5 years (SD 9.6) and 60.0% of participants were women. At age 55 years, the remaining lifetime risk of any CVD event among women was 55.1% (95% CI 48.3 to 61.9) for IFG, compared with 52.7% (95% CI 49.5 to 55.9) for normoglycemia and 61.5% (95% CI 54.7 to 68.3) for T2D. For men, the remaining lifetime risk of any CVD event was 62.1% (95% CI 55.2 to 69.1) for IFG, compared with 59.1% (95% CI 55.5 to 62.7) for normoglycemia and 60.3% (95% CI 53.1 to 67.5) for T2D. At age 55 years, the lifetime risk for incident CVD was higher, although not statistically significant, among women and men with IFG who were overweight or had obesity compared with normal-weight women and men. CONCLUSION IFG carried a large lifetime risk for incident CVD among both women and men compared with normoglycemia. In particular among men, the risk was comparable to that of T2D. Overweight/Obesity modifies the risk and conferred a larger burden of lifetime CVD risk among women and men with IFG.
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Affiliation(s)
- Fariba Ahmadizar
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Kan Wang
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Elif Aribas
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Lana Fani
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Alis Heshmatollah
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - M Kamran Ikram
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Department of Neurology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Maryam Kavousi
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
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Mata Marín LA, Schmucker J, Fach A, Osteresch R, Rühle S, Garstka D, Eitel I, Hambrecht R, Wienbergen H. Prevalence and clinical characteristics of prediabetes and diabetes mellitus in young patients with ST-segment elevation myocardial infarction. Clin Res Cardiol 2021; 110:1647-1658. [PMID: 34216252 DOI: 10.1007/s00392-021-01868-1] [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: 02/11/2021] [Accepted: 05/03/2021] [Indexed: 10/20/2022]
Abstract
BACKGROUND Only few data on the prevalence of DM in young patients with ST-elevation myocardial infarction (STEMI) exist. Aim of the present study was to analyse this prevalence, its association to other cardiovascular risk factors and its impact on severity of CAD. In a substudy, consecutive HbA1c measurements in each patient were evaluated. METHODS All patients ≤ 45 years old, admitted with STEMI to an overregional German Heart Centre and treated with primary coronary intervention between 2006 and 2019, entered analysis. Since 2015 HbA1c measurements were performed to detect unknown dysglycaemia. RESULTS Out of 776 young patients of the total cohort, 88 patients (11.4%) had a DM, while 688 (88.6%) did not. Diabetics were more likely to be obese (BMI ≥ 30 kg/m2, OR 2.4, 95%CI 1.4-4.0, p < 0.01) and very obese (BMI ≥ 40 kg/m2, OR 5.1, 95%CI 2.1-12.2, p < 0.01). In diabetics, a higher likelihood of subacute STEMI (OR 2.2, 95% CI 1.1-4.5, p < 0.05) and more advanced CAD (OR 1.6, 95% CI 1.0-2.6, p < 0.05) compared to non-diabetics was observed. 208 patients were included in the substudy with HbA1c measurements. Out of those, 26 patients (12%) had known DM, while 17 patients (8%) had newly diagnosed DM and 49 patients (24%) preDM. The combined prevalence of any type of dysglycaemia was 44%. CONCLUSION DM in young patients with STEMI was associated with (severe) obesity, a higher likelihood of subacute STEMI and more advanced CAD compared to non-diabetics. Measurement of HbA1c in every consecutive STEMI-patient increased the rate of detected dysglycaemias more than three times higher than in general population.
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Affiliation(s)
- Luis Alberto Mata Marín
- Bremen Institute for Heart and Circulation Resarch, Klinikum Links Der Weser, Stiftung Bremer Herzen, Senator-Weßling-Str. 1, 28277, Bremen, Germany.
| | - Johannes Schmucker
- Bremen Institute for Heart and Circulation Resarch, Klinikum Links Der Weser, Stiftung Bremer Herzen, Senator-Weßling-Str. 1, 28277, Bremen, Germany
| | - Andreas Fach
- Bremen Institute for Heart and Circulation Resarch, Klinikum Links Der Weser, Stiftung Bremer Herzen, Senator-Weßling-Str. 1, 28277, Bremen, Germany
| | - Rico Osteresch
- Bremen Institute for Heart and Circulation Resarch, Klinikum Links Der Weser, Stiftung Bremer Herzen, Senator-Weßling-Str. 1, 28277, Bremen, Germany
| | - Stephan Rühle
- Bremen Institute for Heart and Circulation Resarch, Klinikum Links Der Weser, Stiftung Bremer Herzen, Senator-Weßling-Str. 1, 28277, Bremen, Germany
| | - Daniela Garstka
- Bremen Institute for Heart and Circulation Resarch, Klinikum Links Der Weser, Stiftung Bremer Herzen, Senator-Weßling-Str. 1, 28277, Bremen, Germany
| | - Ingo Eitel
- Medical Clinic II, University Heart Centre Lübeck, Lübeck, Germany
| | - Rainer Hambrecht
- Bremen Institute for Heart and Circulation Resarch, Klinikum Links Der Weser, Stiftung Bremer Herzen, Senator-Weßling-Str. 1, 28277, Bremen, Germany
| | - Harm Wienbergen
- Bremen Institute for Heart and Circulation Resarch, Klinikum Links Der Weser, Stiftung Bremer Herzen, Senator-Weßling-Str. 1, 28277, Bremen, Germany.,Medical Clinic II, University Heart Centre Lübeck, Lübeck, Germany
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50
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Barbu E, Popescu MR, Popescu AC, Balanescu SM. Phenotyping the Prediabetic Population-A Closer Look at Intermediate Glucose Status and Cardiovascular Disease. Int J Mol Sci 2021; 22:6864. [PMID: 34202289 PMCID: PMC8268766 DOI: 10.3390/ijms22136864] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2021] [Revised: 06/12/2021] [Accepted: 06/17/2021] [Indexed: 01/08/2023] Open
Abstract
Even though the new thresholds for defining prediabetes have been around for more than ten years, there is still controversy surrounding the precise characterization of this intermediate glucose metabolism status. The risk of developing diabetes and macro and microvascular disease linked to prediabetes is well known. Still, the prediabetic population is far from being homogenous, and phenotyping it into less heterogeneous groups might prove useful for long-term risk assessment, follow-up, and primary prevention. Unfortunately, the current definition of prediabetes is quite rigid and disregards the underlying pathophysiologic mechanisms and their potential metabolic progression towards overt disease. In addition, prediabetes is commonly associated with a cluster of risk factors that worsen the prognosis. These risk factors all revolve around a common denominator: inflammation. This review focuses on identifying the population that needs to be screened for prediabetes and the already declared prediabetic patients who are at a higher risk of cardiovascular disease and require closer monitoring.
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Affiliation(s)
| | - Mihaela-Roxana Popescu
- Department of Cardiology, Elias Emergency University Hospital, Carol Davila University of Medicine and Pharmacy, 011461 Bucharest, Romania; (E.B.); (S.-M.B.)
| | - Andreea-Catarina Popescu
- Department of Cardiology, Elias Emergency University Hospital, Carol Davila University of Medicine and Pharmacy, 011461 Bucharest, Romania; (E.B.); (S.-M.B.)
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