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Rochmawati ID, Deo S, Lees JS, Mark PB, Sattar N, Celis-Morales C, Pell JP, Welsh P, Ho FK. Adding traditional and emerging biomarkers for risk assessment in secondary prevention: a prospective cohort study of 20 656 patients with cardiovascular disease. Eur J Prev Cardiol 2025; 32:585-595. [PMID: 39474888 DOI: 10.1093/eurjpc/zwae352] [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: 02/26/2024] [Revised: 04/26/2024] [Accepted: 10/14/2024] [Indexed: 05/13/2025]
Abstract
AIMS This study aims to explore whether conventional and emerging biomarkers could improve risk discrimination and calibration in the secondary prevention of recurrent atherosclerotic cardiovascular disease (ASCVD), based on a model using predictors from SMART2 (Secondary Manifestations of ARTerial Disease). METHODS AND RESULTS In a cohort of 20 658 UK Biobank participants with medical history of ASCVD, we analysed any improvement in C indices and net reclassification index (NRI) for future ASCVD events, following addition of lipoprotein A (LP-a), apolipoprotein B, Cystatin C, Hemoglobin A1c (HbA1c), gamma-glutamyl transferase (GGT), aspartate aminotransferase (AST), alanine aminotransferase, and alkaline phosphatase (ALP), to a model with predictors used in SMART2 for the outcome of recurrent major cardiovascular event. We also examined any improvement in C indices and NRIs replacing creatinine-based estimated glomerular filtration rate (eGFR) with Cystatin C-based estimates. Calibration plots between different models were also compared. Compared with the baseline model (C index = 0.663), modest increments in C indices were observed when adding HbA1c (ΔC = 0.0064, P < 0.001), Cystatin C (ΔC = 0.0037, P < 0.001), GGT (ΔC = 0.0023, P < 0.001), AST (ΔC = 0.0007, P < 0.005) or ALP (ΔC = 0.0010, P < 0.001) or replacing eGFRCr with eGFRCysC (ΔC = 0.0036, P < 0.001) or eGFRCr-CysC (ΔC = 0.00336, P < 0.001). Similarly, the strongest improvements in NRI were observed with the addition of HbA1c (NRI = 0.014) or Cystatin C (NRI = 0.006) or replacing eGFRCr with eGFRCr-CysC (NRI = 0.001) or eGFRCysC (NRI = 0.002). There was no evidence that adding biomarkers modified calibration. CONCLUSION Adding several biomarkers, most notably Cystatin C and HbA1c, but not LP-a, in a model using SMART2 predictors modestly improved discrimination.
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Affiliation(s)
- Ike Dhiah Rochmawati
- School of Health and Wellbeing, University of Glasgow, 90 Byres Road, Glasgow G12 8TB, UK
- Department of Clinical and Community Pharmacy, Faculty of Pharmacy, University of Surabaya, Jalan Raya Kalirungkut, Surabaya 60293, Indonesia
| | - Salil Deo
- Louis Stokes Cleveland VA Medical Center, 10701 East Blvd, Cleveland, OH 44106, USA
| | - Jennifer S Lees
- School of Cardiovascular and Metabolic Health, University of Glasgow, 126 University Place, Glasgow G12 8TA, UK
| | - Patrick B Mark
- School of Cardiovascular and Metabolic Health, University of Glasgow, 126 University Place, Glasgow G12 8TA, UK
| | - Naveed Sattar
- School of Cardiovascular and Metabolic Health, University of Glasgow, 126 University Place, Glasgow G12 8TA, UK
| | - Carlos Celis-Morales
- School of Cardiovascular and Metabolic Health, University of Glasgow, 126 University Place, Glasgow G12 8TA, UK
- Human Performance Lab, Education, Physical Activity and Health Research Unit, University Católica del Maule, San Miguel Avenue 3605, Talca 3466706, Chile
- Centro de Investigacion en Medicina de Altura (CEIMA), Universidad Arturo Prat, Avenue Arturo Prat, Iquique 2120, Chile
| | - Jill P Pell
- School of Health and Wellbeing, University of Glasgow, 90 Byres Road, Glasgow G12 8TB, UK
| | - Paul Welsh
- School of Cardiovascular and Metabolic Health, University of Glasgow, 126 University Place, Glasgow G12 8TA, UK
| | - Frederick K Ho
- School of Health and Wellbeing, University of Glasgow, 90 Byres Road, Glasgow G12 8TB, UK
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2
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Battelino T, Lalic N, Hussain S, Ceriello A, Klobucar S, Davies SJ, Topsever P, Heverly J, Ulivi F, Brady K, Tankova T, Galhardo J, Tagkalos K, Werson E, Mathieu C, Schwarz P. The use of continuous glucose monitoring in people living with obesity, intermediate hyperglycemia or type 2 diabetes. Diabetes Res Clin Pract 2025; 223:112111. [PMID: 40118193 DOI: 10.1016/j.diabres.2025.112111] [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: 02/17/2025] [Revised: 03/12/2025] [Accepted: 03/17/2025] [Indexed: 03/23/2025]
Abstract
A global trend towards increased obesity, intermediate hyperglycemia (previously termed prediabetes) and type 2 diabetes, has prompted a range of international initiatives to proactively raise awareness and provide action-driven recommendations to prevent and manage these linked disease states. One approach, that has shown success in managing people already diagnosed with type 2 diabetes mellitus, is to use continuous glucose monitoring (CGM) devices to help them manage their chronic condition through understanding and treating their daily glucose fluctuations, in assocation with glucose-lowering medications, including insulin. However, much of the burden of type 2 diabetes mellitus is founded in the delayed detection both of type 2 diabetes mellitus itself, and the intermediate hyperglycemia that precedes it. In this review, we provide evidence that using CGM technology in people at-risk of intermediate hyperglycemia or type 2 diabetes mellitus can significantly improve the rate and timing of detection of dysglycemia. Earlier detection allows intervention, including through continued use of CGM to guide changes to diet and lifestyle, that can delay or prevent harmful progression of early dysglycemia. Although further research is needed to fully understand the cost-effectiveness of this intervention in people at-risk or with early dysglycemia, the proposition for use of CGM technology is clear.
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Affiliation(s)
- Tadej Battelino
- University Medical Center Ljubljana, and University of Ljubljana, Faculty of Medicine, Ljubljana, Slovenia.
| | - Nebojsa Lalic
- Faculty of Medicine, University of Belgrade, Center for Diabetes and Lipid Disorders, Clinic for Endocrinology, Diabetes and Metabolic Diseases, University Clinical Centre of Serbia, Belgrade, Serbia
| | - Sufyan Hussain
- Department of Diabetes, School of Cardiovascular, Metabolic Medicine and Sciences, King's College London, London, UK; Department of Diabetes and Endocrinology, Guy's & St Thomas' NHS Foundation Trust, London, UK; Institute of Diabetes, Endocrinology and Obesity, King's Health Partners, London, UK
| | | | - Sanja Klobucar
- Department for Endocrinology, Diabetes and Metabolism, University Hospital Centre Rijeka, School of Medicine, University of Rijeka, Croatia
| | | | - Pinar Topsever
- Acibadem Mehmet Ali Aydinlar University, School of Medicine, Department of Family Medicine, Istanbul, Turkiye
| | - Julie Heverly
- diaTribe Foundation, San Francisco, CA, United States
| | | | - Kevin Brady
- diabetes Geneva, Avenue Cardinal-Mermillod 36, Carouge, Switzerland
| | - Tsvetalana Tankova
- Department of Endocrinology, Medical University - Sofia, Sofia, Bulgaria
| | | | | | | | - Chantal Mathieu
- Department of Endocrinology, University Hospitals Leuven, Louvain, Belgium
| | - Peter Schwarz
- Department for Prevention and Care of Diabetes, Faculty of Medicine Carl Gustav Carus at the Technische Universität/TU Dresden, Dresden, Germany; Paul Langerhans Institute Dresden of Helmholtz Zentrum München at University Hospital and Faculty of Medicine, TU Dresden 01307 Dresden, Germany
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3
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Pragati G, Paolo P. Divergence in prediabetes guidelines - A global perspective. Diabetes Res Clin Pract 2025; 223:112142. [PMID: 40157611 DOI: 10.1016/j.diabres.2025.112142] [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: 02/03/2025] [Revised: 03/11/2025] [Accepted: 03/24/2025] [Indexed: 04/01/2025]
Abstract
The global landscape of prediabetes diagnostic guidelines varies significantly, reflecting diverse healthcare priorities, population characteristics, and resource availability. Major international organisations, including the World Health Organisation (WHO), European Association for the Study of Diabetes (EASD), Italian Society of Diabetes (SID), American Diabetes Association (ADA), International Diabetes Federation (IDF), Diabetes UK, and Chinese Diabetes Society (CDS), adopt differing criteria for defining and diagnosing prediabetes. These discrepancies arise from variations in diagnostic tests-oral glucose tolerance test (OGTT), fasting plasma glucose (FPG), and glycated haemoglobin (HbA1c)-as well as differences in prevalence estimates, screening policies, and healthcare infrastructure. Ethnic variability in glucose metabolism further complicates standardisation, as some diagnostic tools, such as HbA1c, perform differently across populations. Additionally, individuals diagnosed via different criteria exhibit distinct metabolic risks and may respond differently to interventions. This heterogeneity poses challenges for global research, policy-making, and equitable access to care. While complete international harmonisation may be impractical, emerging diagnostic approaches, such as the 1-hour plasma glucose (1-h PG) test, offer a promising step toward improving diagnostic consistency. A hybrid model integrating universal standards with population-specific adaptations may offer a more effective global strategy for prediabetes identification and prevention.
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Affiliation(s)
- Gupta Pragati
- Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Pozzilli Paolo
- Campus Bio-Medico University of Rome, Italy; The Blizard Institute, St. Bartholomew's and the London School of Medicine, London, UK.
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Sumin AN, Bezdenezhnykh NA, Belik EV, Bezdenezhnykh AV, Gruzdeva OV, Barbarash OL. Active Detection of Glucose Metabolism Disorders Prior to Coronary Artery Bypass Grafting: Associations with In-Hospital Postoperative Complications. J Clin Med 2025; 14:3123. [PMID: 40364157 PMCID: PMC12072462 DOI: 10.3390/jcm14093123] [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: 03/21/2025] [Revised: 04/24/2025] [Accepted: 04/27/2025] [Indexed: 05/15/2025] Open
Abstract
Background/Objectives: Patients with coronary artery disease undergoing coronary artery bypass grafting (CABG) have a high prevalence of type 2 diabetes mellitus (T2DM) and prediabetes. Glucose metabolism disorders (GMDs) are often asymptomatic and remain undetected, but untreated they can have adverse effects. To evaluate the possibilities of active screening in identifying T2DM and prediabetes before CABG and to assess the impact of GMD on the incidence of postoperative complications. Methods: This study included 1021 patients who underwent CABG in 2016-2018 at the department of cardiovascular surgery, whose glycemic status was determined. All patients had their glycated hemoglobin (HbA1c) levels measured; those without a previous diagnosis of diabetes underwent an oral glucose tolerance test. The frequency of newly diagnosed diabetes and prediabetes was evaluated. Postoperative complication rates were analyzed among patient groups with various types of GMDs and normal blood glucose levels. Results: Screening before CABG increased the number of patients with established type 2 diabetes from 20.9 to 27.8% and the number of people with prediabetes from 2.7% to 31.7%. When analyzing hospital complications, patients with type 2 diabetes compared to patients with normoglycemia were significantly more likely to develop heart failure (p = 0.010), multiple organ failure (p = 0.002), require extracorporeal homeostasis correction (p = 0.011), and wound dehiscence (p = 0.004). Nine patients (0.9%) died following CABG without being discharged from the hospital, with 90% of these deaths occurring in patients with GMDs. Any GMD (diabetes or prediabetes) was associated with an increased incidence of postoperative heart failure (OR 1.259; p = 0.011), rhythm disturbances (OR 1.236; p = 0.010), major cardiovascular complications and/or heart failure (OR 1.193; p = 0.039), and all cardiovascular complications (OR 1.455; p = 0.002). In the presence of any GMD, the risk of multiple organ failure increased by 2.5 times (OR 2.506; p = 0.014), extracorporeal correction of homeostasis increased by 1.8 times (OR 1.821; p = 0.034), and diastasis of the wound edges increased by 1.3 times (OR 1.266; p = 0.005). It is important that, when adjusting for gender and age, the effect of GMD on the described complications remained significant. Conclusions: Active preoperative detection established an extremely high prevalence of GMD in patients with multivessel coronary artery disease (59.5%). T2DM and prediabetes are significant predictors of postoperative complications of coronary artery bypass grafting.
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Affiliation(s)
- Alexey N. Sumin
- Federal State Budgetary Scientific Institution “Research Institute for Complex Issues of Cardiovascular Diseases”, Academician L.S. Barbarash Boulevard, 6, Kemerovo 650002, Russia; (N.A.B.); (E.V.B.); (O.V.G.); (O.L.B.)
| | - Natalia A. Bezdenezhnykh
- Federal State Budgetary Scientific Institution “Research Institute for Complex Issues of Cardiovascular Diseases”, Academician L.S. Barbarash Boulevard, 6, Kemerovo 650002, Russia; (N.A.B.); (E.V.B.); (O.V.G.); (O.L.B.)
| | - Ekaterina. V. Belik
- Federal State Budgetary Scientific Institution “Research Institute for Complex Issues of Cardiovascular Diseases”, Academician L.S. Barbarash Boulevard, 6, Kemerovo 650002, Russia; (N.A.B.); (E.V.B.); (O.V.G.); (O.L.B.)
| | - Andrew V. Bezdenezhnykh
- Limited Liability Company “Family Health and Reproduction Center Krasnaya Gorka”, Suvorova St., 3A, Kemerovo 650044, Russia;
| | - Olga V. Gruzdeva
- Federal State Budgetary Scientific Institution “Research Institute for Complex Issues of Cardiovascular Diseases”, Academician L.S. Barbarash Boulevard, 6, Kemerovo 650002, Russia; (N.A.B.); (E.V.B.); (O.V.G.); (O.L.B.)
- Federal State Budgetary Educational Institution of Higher Education, Kemerovo State Medical University, Voroshilova St., 22A, Kemerovo 650056, Russia
| | - Olga L. Barbarash
- Federal State Budgetary Scientific Institution “Research Institute for Complex Issues of Cardiovascular Diseases”, Academician L.S. Barbarash Boulevard, 6, Kemerovo 650002, Russia; (N.A.B.); (E.V.B.); (O.V.G.); (O.L.B.)
- Federal State Budgetary Educational Institution of Higher Education, Kemerovo State Medical University, Voroshilova St., 22A, Kemerovo 650056, Russia
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Hsu JC, Huang KC, Lin TT, Lee JK, Su MYM, Juang JMJ, Wu CK, Lin LY. Epicardial Adipose Tissue Is Associated With Geometry Alteration and Diastolic Dysfunction in Prediabetic Cardiomyopathy. J Clin Endocrinol Metab 2025; 110:1478-1487. [PMID: 38864548 DOI: 10.1210/clinem/dgae400] [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: 02/14/2024] [Revised: 05/19/2024] [Accepted: 06/07/2024] [Indexed: 06/13/2024]
Abstract
BACKGROUND Diastolic dysfunction and alterations in cardiac geometry are early indicators of diabetic cardiomyopathy. However, the association between cardiac changes across the glucose continuum and the contribution of epicardial adipose tissue (EAT) to these changes has not yet been investigated. PURPOSE In this study, we aimed to investigate the EAT on cardiac diastolic function and structural alterations along the diabetic continuum using cardiac magnetic resonance imaging (CMRI). METHODS We enrolled individuals who were categorized into groups based on glucose tolerance status. Left ventricular structure and diastolic function were assessed using echocardiography and CMRI to determine the EAT, intramyocardial fat, and associated parameters. Multivariable logistic regression models were also used. RESULTS In a study of 370 patients (209 normal glucose tolerance, 82 prediabetes, 79 diabetes), those with prediabetes and diabetes showed increased heart dimensions and diastolic dysfunction, including the ratio of early mitral inflow velocity to mitral annular early diastolic velocity (7.9 ± 0.51 vs 8.5 ± 0.64 vs 10.0 ± 0.93, P = .010), left atrial volume index (28.21 ± 14.7 vs 33.2 ± 12.8 vs 37.4 ± 8.2 mL/m2, P < .001), and left ventricular peak filling rate (4.46 ± 1.75 vs 3.61 ± 1.55 vs 3.20 ± 1.30 mL/s, P < .001). EAT significantly increased in prediabetes and diabetes (26.3 ± 1.16 vs 31.3 ± 1.83 vs 33.9 ± 1.9 gm, P = .001), while intramyocardial fat did not differ significantly. Prediabetes altered heart geometry but not diastolic function (odds ratio [OR] 1.22 [1.02-1.83], P = .012; and 1.70 [0.79-3.68], P = .135). Diabetes significantly affected both heart structure and diastolic function (OR 1.42 [1.11-1.97], P = .032; and 2.56 [1.03-5.40], P = .034) after adjusting for covariates. CONCLUSION Elevated EAT was observed in patients with prediabetes and is associated with adverse alterations in cardiac structure and diastolic function, potentially serving as an underlying mechanism for the early onset of diabetic cardiomyopathy.
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Affiliation(s)
- Jung-Chi Hsu
- Division of Cardiology, Department of Internal Medicine, National Taiwan University Jinshan Branch, New Taipei City 20844, Taiwan
- Division of Cardiology, Department of Internal Medicine, National Taiwan University College of Medicine and Hospital, Taipei 100225, Taiwan
| | - Kuan-Chih Huang
- Division of Cardiology, Department of Internal Medicine, National Taiwan University College of Medicine and Hospital, Taipei 100225, Taiwan
- Division of Cardiology, Department of Internal Medicine, National Taiwan University Hospital Hsin-Chu Branch, Hsinchu 300195, Taiwan
| | - Ting-Tse Lin
- Division of Cardiology, Department of Internal Medicine, National Taiwan University College of Medicine and Hospital, Taipei 100225, Taiwan
- Department of Internal Medicine, College of Medicine National Taiwan University, Taipei 100233, Taiwan
| | - Jen-Kuang Lee
- Division of Cardiology, Department of Internal Medicine, National Taiwan University College of Medicine and Hospital, Taipei 100225, Taiwan
- Department of Internal Medicine, College of Medicine National Taiwan University, Taipei 100233, Taiwan
| | - Mao-Yuan M Su
- Department of Medical Imaging, National Taiwan University Hospital, Taipei 100225, Taiwan
| | - Jyh-Ming Jimmy Juang
- Division of Cardiology, Department of Internal Medicine, National Taiwan University College of Medicine and Hospital, Taipei 100225, Taiwan
- Department of Internal Medicine, College of Medicine National Taiwan University, Taipei 100233, Taiwan
- Heart Failure Center, National Taiwan University Hospital, Taipei 100225, Taiwan
| | - Cho-Kai Wu
- Division of Cardiology, Department of Internal Medicine, National Taiwan University College of Medicine and Hospital, Taipei 100225, Taiwan
- Department of Internal Medicine, College of Medicine National Taiwan University, Taipei 100233, Taiwan
| | - Lian-Yu Lin
- Division of Cardiology, Department of Internal Medicine, National Taiwan University College of Medicine and Hospital, Taipei 100225, Taiwan
- Department of Internal Medicine, College of Medicine National Taiwan University, Taipei 100233, Taiwan
- Master's Program in Smart Medicine and Health Informatics, National Taiwan University, Taipei 106319, Taiwan
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Liang X, Lai K, Li X, Ren D, Gui S, Xing Z, Li Y. Association between estimated glucose disposal rate and future cardiovascular disease risk across glucose metabolism status: a prospective cohort study. Diabetol Metab Syndr 2025; 17:131. [PMID: 40251696 PMCID: PMC12007373 DOI: 10.1186/s13098-025-01697-6] [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: 02/10/2025] [Accepted: 04/08/2025] [Indexed: 04/20/2025] Open
Abstract
BACKGROUND Cardiovascular disease (CVD) remains a major global health challenge, particularly affected by glucose metabolism status. However, the relationship between estimated glucose disposal rate (eGDR) and future CVD risk across different glucose metabolism status remains unclear. METHODS We analyzed data from the China Health and Retirement Longitudinal Study (2011-2020) of participants aged ≥ 45 years. The eGDR was calculated using waist circumference, hypertension status, and HbA1c levels. CVD events (stroke or cardiac events) were the outcome. Participants were categorized by glucose metabolism status (normoglycemia, prediabetes, diabetes). Cox proportional hazards models and restricted cubic splines were used to assess associations and potential non-linear relationships. RESULTS Among 7,828 participants (52.84% male, mean age 59.01 ± 9.21 years) followed for an average of 8.29 years, 1,944 participants (24.83%) developed CVD. Higher eGDR was inversely associated with CVD risk across all glucose metabolism states. Below the inflection points (11.77, 11.15, and 11.56 mg/kg/min for normoglycemia, prediabetes, and diabetes, respectively), each 1-unit increase in eGDR reduced CVD risk by 14% (HR = 0.86, 95%CI: 0.83-0.89), 10% (HR = 0.90, 95%CI: 0.86-0.93), and 14% (HR = 0.86, 95%CI: 0.81-0.91), respectively. CONCLUSION The eGDR demonstrates a potentially non-linear inverse association with future CVD risk across different glucose metabolism states.
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Affiliation(s)
- Xiaomin Liang
- Department of Critical Care Medicine, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China
| | - Kai Lai
- Department of Critical Care Medicine, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China
| | - Xiaohong Li
- Department of Critical Care Medicine, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China
| | - Di Ren
- Department of Critical Care Medicine, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China
| | - Shuiqing Gui
- Department of Critical Care Medicine, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China.
| | - Zemao Xing
- Department of Critical Care Medicine, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China.
| | - Ying Li
- Department of Critical Care Medicine, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China.
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Basu A, Hooyman A, Groven S, DeVillez P, Scofield RH, Ebersole JL, Champion A, Izuora K. Strawberries Improve Insulin Resistance and Related Cardiometabolic Markers in Adults with Prediabetes: A Randomized Controlled Crossover Trial. J Nutr 2025:S0022-3166(25)00224-X. [PMID: 40250566 DOI: 10.1016/j.tjnut.2025.04.015] [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: 12/06/2024] [Revised: 02/17/2025] [Accepted: 04/10/2025] [Indexed: 04/20/2025] Open
Abstract
BACKGROUND Prediabetes, as a risk factor for type 2 diabetes, as well as cardiovascular disease, is a burgeoning public health concern in the United States and worldwide. Dietary supplementation of polyphenol-rich berries has been demonstrated to be a feasible nutritional intervention in improving multiple cardiometabolic risk factors in adults. However, reported clinical trials are quite heterogeneous in study findings, and focus on prediabetes is lacking. OBJECTIVES We examined the effects of a feasible dietary dose of strawberries (32 g freeze-dried strawberries ∼2.5 servings fresh strawberries) on glycemic control (primary) and cardiometabolic markers in adults with prediabetes in a 28-wk randomized controlled (no strawberry) crossover single-blinded study (12 wk/period). METHODS A total of 25 adults were recruited in each period of the study, and anthropometric, clinical, and dietary data and blood samples were collected at baseline, 6 wk, 12 wk, 16 wk (washout), 22 wk, and 28 wk of the crossover study. A mixed-model analysis of variance was used to examine treatment effects accounting for the fixed effects of treatment, time, order of randomization, age, sex, ethnicity, body mass index (in kg/m2), dietary calories, and physical activity over time, as well as the baseline value for each outcome. RESULTS Strawberry period significantly improved glycemic control (serum insulin, insulin resistance, fasting glucose and glycated hemoglobin) and serum total cholesterol in an adjusted model compared with control; [adjusted mean difference 95% confidence interval (CI): -6.9 μIU/mL (-3.2, -10.7) μIU/mL, -2.3 (-1.3, -3.4), -8.9 mg/dL (-4.7, -13.2) mg/dL, and -0.2% (-0.1, -0.3)%, and -7.0 mg/dL (-2.0, -12.0) mg/dL, respectively, all P < 0.05]. Strawberry period also decreased body weight, high sensitivity C-reactive protein, and interleukin-6 in the adjusted model (all P < 0.05). CONCLUSIONS These findings show that a 2.5-serving dose of strawberries consumed daily for 12 wk can improve prediabetes status and overall cardiometabolic profile in adults.
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Affiliation(s)
- Arpita Basu
- Department of Kinesiology and Nutrition Sciences, University of Nevada, Las Vegas, NV, United States.
| | - Andrew Hooyman
- Department of Physical Therapy, Chapman University, Irvine, CA, United States
| | - Shauna Groven
- Kirk Kerkorian School of Medicine, University of Nevada, Las Vegas, NV, United States
| | - Pamela DeVillez
- Department of Kinesiology and Nutrition Sciences, University of Nevada, Las Vegas, NV, United States
| | - Robert H Scofield
- Arthritis and Clinical Immunology Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, United States
| | - Jeffrey L Ebersole
- Department of Biomedical Sciences, School of Dental Medicine, University of Nevada, Las Vegas, NV, United States
| | - Amber Champion
- Division of Endocrinology, Kirk Kerkorian School of Medicine, University of Nevada, Las Vegas, NV, United States
| | - Kenneth Izuora
- Division of Endocrinology, Kirk Kerkorian School of Medicine, University of Nevada, Las Vegas, NV, United States
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8
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Jastreboff AM, le Roux CW, Stefanski A, Aronne LJ, Halpern B, Wharton S, Wilding JPH, Perreault L, Zhang S, Battula R, Bunck MC, Ahmad NN, Jouravskaya I. Tirzepatide for Obesity Treatment and Diabetes Prevention. N Engl J Med 2025; 392:958-971. [PMID: 39536238 DOI: 10.1056/nejmoa2410819] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2024]
Abstract
BACKGROUND Obesity is a chronic disease and causal precursor to myriad other conditions, including type 2 diabetes. In an earlier analysis of the SURMOUNT-1 trial, tirzepatide was shown to provide substantial and sustained reductions in body weight in persons with obesity over a 72-week period. Here, we report the 3-year safety outcomes with tirzepatide and its efficacy in reducing weight and delaying progression to type 2 diabetes in persons with both obesity and prediabetes. METHODS We performed a phase 3, double-blind, randomized, controlled trial in which 2539 participants with obesity, of whom 1032 also had prediabetes, were assigned in a 1:1:1:1 ratio to receive tirzepatide at a once-weekly dose of 5 mg, 10 mg, or 15 mg or placebo. The current analysis involved the participants with both obesity and prediabetes, who received their assigned dose of tirzepatide or placebo for a total of 176 weeks, followed by a 17-week off-treatment period. The three key secondary end points, which were controlled for type I error, were the percent change in body weight from baseline to week 176 and onset of type 2 diabetes during the 176-week and 193-week periods. RESULTS At 176 weeks, the mean percent change in body weight among the participants who received tirzepatide was -12.3% with the 5-mg dose, -18.7% with the 10-mg dose, and -19.7% with the 15-mg dose, as compared with -1.3% among those who received placebo (P<0.001 for all comparisons with placebo). Fewer participants received a diagnosis of type 2 diabetes in the tirzepatide groups than in the placebo group (1.3% vs. 13.3%; hazard ratio, 0.07; 95% confidence interval [CI], 0.0 to 0.1; P<0.001). After 17 weeks off treatment or placebo, 2.4% of the participants who received tirzepatide and 13.7% of those who received placebo had type 2 diabetes (hazard ratio, 0.12; 95% CI, 0.1 to 0.2; P<0.001). Other than coronavirus disease 2019, the most common adverse events were gastrointestinal, most of which were mild to moderate in severity and occurred primarily during the dose-escalation period in the first 20 weeks of the trial. No new safety signals were identified. CONCLUSIONS Three years of treatment with tirzepatide in persons with obesity and prediabetes resulted in substantial and sustained weight reduction and a markedly lower risk of progression to type 2 diabetes than that with placebo. (Funded by Eli Lilly; SURMOUNT-1 ClinicalTrials.gov number, NCT04184622.).
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Affiliation(s)
- Ania M Jastreboff
- Y-Weight Yale Obesity Research Center, Section of Endocrinology and Metabolism, Department of Medicine, Yale School of Medicine, New Haven, CT
- Section of Pediatric Endocrinology, Department of Pediatrics, Yale School of Medicine, New Haven, CT
| | - Carel W le Roux
- Diabetes Complications Research Centre, University College Dublin, Dublin
| | | | - Louis J Aronne
- Comprehensive Weight Control Center, Division of Endocrinology, Diabetes, and Metabolism, Weill Cornell Medicine, New York
| | | | - Sean Wharton
- University of Toronto, Toronto
- Wharton Weight Management Clinic, Toronto
| | - John P H Wilding
- Department of Cardiovascular and Metabolic Medicine, University of Liverpool, Liverpool, United Kingdom
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Ferrannini G, Tuomilehto J, De Backer G, Kotseva K, Mellbin L, Schnell O, Wood D, De Bacquer D, Rydén L. Dysglycaemia screening and its prognostic impact in patients with coronary artery disease: experiences from the EUROASPIRE IV and V cohort studies. Lancet Diabetes Endocrinol 2024; 12:790-798. [PMID: 39326426 DOI: 10.1016/s2213-8587(24)00201-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/03/2024] [Revised: 07/10/2024] [Accepted: 07/11/2024] [Indexed: 09/28/2024]
Abstract
BACKGROUND Glucose perturbations can be detected by fasting plasma glucose (FPG), HbA1c, and the oral glucose tolerance test (OGTT). The highest yield is provided by OGTT. HbA1c is considered more practical. We compare the diagnostic and predictive performance of these glycaemic indicators based on combined data from the EUROASPIRE IV (EAIV) and V (EAV) studies. METHODS This cohort study was conducted in 79 centres in 24 European countries (EAIV) and 131 centres in 27 European countries (EAV). Eligible patients were aged 18-80 years, did not have diabetes, and were diagnosed with coronary artery disease 6-36 months (EAIV) or 6-24 months (EAV) before the investigation. Patients were investigated with OGTT (FPG and 2 h post-load glucose [2-hPG]) and HbA1c. Follow-up of subsequent cardiovascular events was done by means of a questionnaire at least 1 year after the baseline investigation. Analyses were done in patients with both OGTT and HbA1c data available. Outcome analysis in these patients was restricted to those with valid follow-up data available. FINDINGS 16 259 patients were interviewed in EAIV (2012-13) and EAV (2016-17). 8364 patients had both OGTT and HbA1C data and were included in the analysis population (3932 in EAIV and 4432 in EAV). Information on cardiovascular events was available in 7892 patients. Follow-up was for a median 1·6 years (IQR 1·2-2·0). The average patient age was 63·3 years (SD 9·8), and 6346 (75·9%) of 8364 patients were men. At baseline, 1856 (22·5%) of 8263 patients were determined to have newly detected type 2 diabetes using OGTT alone, compared with 346 (4·2%) using HbA1c alone. New dysglycaemia, defined as newly detected type 2 diabetes or impaired glucose tolerance (IGT), was present in 3896 (47·1%) of the patients according to 2hPG. 2hPG 9 mmol/L or greater (162 mg/dL, adjusted hazard ratio [aHR] 1·58; 95% CI 1·27-1·95, p<0·0001), and HbA1c 5·9% or greater (41 mmol/mol, aHR 1·48, 1·19-1·84; p=0·0010) were the strongest predictors of cardiovascular events, while FPG did not predict. A multivariable model showed that the effect of HbA1c on cardiovascular events was mainly explained by 2hPG (aHR for 1 unit increase in HbA1c 1·13, 0·98-1·30; p=0·11; and aHR for 1 unit increase in Ln[2hPG] 1·37, 1·08-1·74; p=0·0042). INTERPRETATION 2hPG appears better than HbA1c in detecting dysglycaemia and predicting its impact on future cardiovascular events in patients with coronary artery disease and should be recommended as the primary screening tool. FUNDING Swedish Heart-Lung Foundation, Region Stockholm (ALF), the Erling Persson Foundation, the Baltic Child Foundation.
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Affiliation(s)
- Giulia Ferrannini
- Södertälje hospital, Stockholm, Sweden; Department for Medicine Solna, Karolinska Institutet, Stockholm, Sweden
| | - Jaakko Tuomilehto
- Population Health Unit, Finnish Institute for Health and Welfare, Helsinki, Finland; Department of Public Health, University of Helsinki, Helsinki, Finland; Saudi Diabetes Research Group, King Abdulaziz University, Jeddah, Saudi Arabia; Department of International Health, National School of Public Health, Instituto de Salud Carlos III, Madrid, Spain
| | - Guy De Backer
- Department of Public Health and Primary Care, Ghent University, Gent, Belgium
| | - Kornelia Kotseva
- Imperial College Healthcare NHS Trust, London, UK; University of Galway School of Medicine and National Institute for Prevention and Cardiovascular Health, Moyola Lane, Newcastle, Galway, Ireland
| | - Linda Mellbin
- Department for Medicine Solna, Karolinska Institutet, Stockholm, Sweden
| | - Oliver Schnell
- Forschergruppe Diabetes e V, Helmholtz Center Munich, Neuherberg, Germany
| | - David Wood
- University of Galway School of Medicine and National Institute for Prevention and Cardiovascular Health, Moyola Lane, Newcastle, Galway, Ireland
| | - Dirk De Bacquer
- Department of Public Health and Primary Care, Ghent University, Gent, Belgium
| | - Lars Rydén
- Department for Medicine Solna, Karolinska Institutet, Stockholm, Sweden.
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10
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Ho FK, Dale C, Mizani MA, Bolton T, Pearson ER, Valabhji J, Delles C, Welsh P, Nakada S, Mackay D, Pell JP, Tomlinson C, Petersen SE, Bray B, Ashworth M, Rahimi K, Mamas M, Halcox J, Sudlow C, Sofat R, Sattar N. Routine measurement of cardiometabolic disease risk factors in primary care in England before, during, and after the COVID-19 pandemic: A population-based cohort study. PLoS Med 2024; 21:e1004485. [PMID: 39591388 PMCID: PMC11593757 DOI: 10.1371/journal.pmed.1004485] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Accepted: 10/04/2024] [Indexed: 11/28/2024] Open
Abstract
BACKGROUND This study estimated to what extent the number of measurements of cardiometabolic risk factors (e.g., blood pressure, cholesterol, glycated haemoglobin) were impacted by the COVID-19 pandemic and whether these have recovered to expected levels. METHODS AND FINDINGS A cohort of individuals aged ≥18 years in England with records in the primary care-COVID-19 General Practice Extraction Service Data for Pandemic Planning and Research (GDPPR) were identified. Their records of 12 risk factor measurements were extracted between November 2018 and March 2024. Number of measurements per 1,000 individuals were calculated by age group, sex, ethnicity, and area deprivation quintile. The observed number of measurements were compared to a composite expectation band, derived as the union of the 95% confidence intervals of 2 estimates: (1) a projected trend based on data prior to the COVID-19 pandemic; and (2) an assumed stable trend from before pandemic. Point estimates were calculated as the mid-point of the expectation band. A cohort of 49,303,410 individuals aged ≥18 years were included. There was sharp drop in all measurements in March 2020 to February 2022, but overall recovered to the expected levels during March 2022 to February 2023 except for blood pressure, which had prolonged recovery. In March 2023 to March 2024, blood pressure measurements were below expectation by 16% (-19 per 1,000) overall, in people aged 18 to 39 (-23%; -18 per 1,000), 60 to 79 (-17%; -27 per 1,000), and ≥80 (-31%; -57 per 1,000). There was suggestion that recovery in blood pressure measurements was socioeconomically patterned. The second most deprived quintile had the highest deviation (-20%; -23 per 1,000) from expectation compared to least deprived quintile (-13%; -15 per 1,000). CONCLUSIONS There was a substantial reduction in routine measurements of cardiometabolic risk factors following the COVID-19 pandemic, with variable recovery. The implications for missed diagnoses, worse prognosis, and health inequality are a concern.
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Affiliation(s)
- Frederick K. Ho
- School of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom
| | - Caroline Dale
- Department of Pharmacology & Therapeutics, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, United Kingdom
| | - Mehrdad A. Mizani
- British Heart Foundation Data Science Centre, Health Data Research UK, London, United Kingdom
| | - Thomas Bolton
- British Heart Foundation Data Science Centre, Health Data Research UK, London, United Kingdom
| | - Ewan R. Pearson
- British Heart Foundation Data Science Centre, Health Data Research UK, London, United Kingdom
- Division of Population Health & Genomics, University of Dundee, Dundee, United Kingdom
| | - Jonathan Valabhji
- Division of Metabolism, Digestion and Reproduction, Imperial College London, London, United Kingdom
| | - Christian Delles
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, United Kingdom
| | - Paul Welsh
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, United Kingdom
| | - Shinya Nakada
- School of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom
| | - Daniel Mackay
- School of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom
| | - Jill P. Pell
- School of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom
| | - Chris Tomlinson
- Institute of Health Informatics, University College London, London, United Kingdom
| | - Steffen E. Petersen
- British Heart Foundation Data Science Centre, Health Data Research UK, London, United Kingdom
- The William Harvey Research Institute, Queen Mary University of London, London, United Kingdom
| | - Benjamin Bray
- School of Population Health and Environmental Sciences, King’s College London, London, United Kingdom
| | - Mark Ashworth
- Department of Population Health Sciences, King’s College London, London, United Kingdom
| | - Kazem Rahimi
- Nuffield Department of Women’s & Reproductive Health, University of Oxford, Oxford, United Kingdom
| | - Mamas Mamas
- School of Medicine, Keele University, Keele, United Kingdom
| | - Julian Halcox
- Swansea University Medical School, Faculty of Medicine, Health and Life Science, Swansea University, Swansea, United Kingdom
| | - Cathie Sudlow
- Division of Population Health & Genomics, University of Dundee, Dundee, United Kingdom
| | - Reecha Sofat
- Department of Pharmacology & Therapeutics, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, United Kingdom
- Division of Population Health & Genomics, University of Dundee, Dundee, United Kingdom
| | - Naveed Sattar
- Institute of Health Informatics, University College London, London, United Kingdom
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11
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Liu Y, Jiang H, Luo L, Gao Z. Relationship between four visceral obesity indices and prediabetes and diabetes: a cross-sectional study in Dalian, China. BMC Endocr Disord 2024; 24:191. [PMID: 39294627 PMCID: PMC11409536 DOI: 10.1186/s12902-024-01718-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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/25/2024] [Accepted: 09/05/2024] [Indexed: 09/21/2024] Open
Abstract
BACKGROUND In recent times, a number of new indices for measuring visceral obesity have been developed. This research sought to investigate the relationship between four visceral obesity indices and prediabetes and diabetes. METHODS Conducted in 2011 as a cross-sectional analysis in Dalian, China, this study utilized logistic regression models to explore the relationships between four visceral obesity indices and prediabetes and diabetes. It also assessed the dose-response relationships using restricted cubic splines (RCS), performed subgroup analyses, and conducted interaction tests. The predictive values of four visceral obesity indices were evaluated using receiver operating characteristic (ROC) curves. RESULTS The study enrolled 10,090 participants, with prediabetes and diabetes prevalence at 80.53%. Multifactorial logistic regression revealed positive relationships between the four visceral obesity indices and prediabetes and diabetes. The results of the RCS analysis revealed a linear relationship between the body roundness index (BRI), cardiometabolic index (CMI) and prediabetes and diabetes. Conversely, a non-linear relationship was observed between Chinese visceral adiposity index (CVAI), lipid accumulation product (LAP) and prediabetes and diabetes. Subgroup analyses demonstrated stronger relationships of CMI, CVAI, and LAP with prediabetes and diabetes among females. ROC curves suggested that LAP could be an effective predictor of these conditions. CONCLUSION This research confirmed that four visceral obesity indices are linked with a higher risk of prediabetes and diabetes in middle-aged and elderly individuals in Dalian. Importantly, LAP could be an effective predictor of prediabetes and diabetes. Effective weight management significantly reduces the risk of both prediabetes and diabetes.
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Affiliation(s)
- Yuntong Liu
- Department of Endocrinology, Dalian Municipal Central Hospital, Dalian, China
- Dalian municipal Central Hospital, China Medical University, Shenyang, China
| | - Haodong Jiang
- Department of Cardiovascular, the Second Hospital of Jilin University, Changchun, China
| | - Lan Luo
- Department of Endocrinology, Dalian Municipal Central Hospital, Dalian, China.
| | - Zhengnan Gao
- Department of Endocrinology, Dalian Municipal Central Hospital, Dalian, China.
- Dalian municipal Central Hospital, China Medical University, Shenyang, China.
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12
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Zhang KP, Guo QC, Mu N, Liu CH. Establishment and validation of nomogram model for predicting major adverse cardiac events in patients with acute ST-segment elevation myocardial infarction based on glycosylated hemoglobin A1c to apolipoprotein A1 ratio: An observational study. Medicine (Baltimore) 2024; 103:e38563. [PMID: 38875361 PMCID: PMC11175862 DOI: 10.1097/md.0000000000038563] [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: 04/10/2024] [Revised: 05/21/2024] [Accepted: 05/22/2024] [Indexed: 06/16/2024] Open
Abstract
The objective of the current study is to assess the usefulness of HbA1cAp ratio in predicting in-hospital major adverse cardiac events (MACEs) among acute ST-segment elevation myocardial infarction (STEMI) patients that have undergone percutaneous coronary intervention (PCI). Further, the study aims to construct a ratio nomogram for prediction with this ratio. The training cohort comprised of 511 STEMI patients who underwent emergency PCI at the Huaibei Miners' General Hospital between January 2019 and May 2023. Simultaneously, 384 patients treated with the same strategy in First People's Hospital of Hefei formed the validation cohort during the study period. LASSO regression was used to screen predictors of nonzero coefficients, multivariate logistic regression was used to analyze the independent factors of in-hospital MACE in STEMI patients after PCI, and nomogram models and validation were established. The LASSO regression analysis demonstrated that systolic blood pressure, diastolic blood pressure, D-dimer, urea, and glycosylated hemoglobin A1c (HbA1c)/apolipoprotein A1 (ApoA1) were significant predictors with nonzero coefficients. Multivariate logistic regression analysis was further conducted to identify systolic blood pressure, D-dimer, urea, and HbA1c/ApoA1 as independent factors associated with in-hospital MACE after PCI in STEMI patients. Based on these findings, a nomogram model was developed and validated, with the C-index in the training set at 0.77 (95% CI: 0.723-0.817), and the C-index in the validation set at 0.788 (95% CI: 0.734-0.841), indicating excellent discrimination accuracy. The calibration curves and clinical decision curves also demonstrated the good performance of the nomogram models. In patients with STEMI who underwent PCI, it was noted that a higher HbA1c of the ApoA1 ratio is significantly associated with in-hospital MACE. In addition, a nomogram is constructed having considered the above-mentioned risk factors to provide predictive information on in-hospital MACE occurrence in these patients. In particular, this tool is of great value to the clinical practitioners in determination of patients with a high risk.
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Affiliation(s)
- Kang-Ping Zhang
- Department of Cardiology, Huaibei Miners’ General Hospital, Huaibei, Anhui, China
| | - Qiong-Chao Guo
- Department of Cardiology, The First People‘s Hospital of Hefei, Anhui, Hefei, China
| | - Nan Mu
- Department of Cardiology, Huaibei Miners’ General Hospital, Huaibei, Anhui, China
| | - Chong-Hui Liu
- Department of Cardiology, Huaibei Miners’ General Hospital, Huaibei, Anhui, China
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13
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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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14
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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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15
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Sattar N, Presslie C, Rutter MK, McGuire DK. Cardiovascular and Kidney Risks in Individuals With Type 2 Diabetes: Contemporary Understanding With Greater Emphasis on Excess Adiposity. Diabetes Care 2024; 47:531-543. [PMID: 38412040 DOI: 10.2337/dci23-0041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Accepted: 11/21/2023] [Indexed: 02/29/2024]
Abstract
In high-income countries, rates of atherosclerotic complications in type 2 diabetes have declined markedly over time due to better management of traditional risk factors including lipids, blood pressure, and glycemia levels. Population-wide reductions in smoking have also helped lower atherosclerotic complications and so reduce premature mortality in type 2 diabetes. However, as excess adiposity is a stronger driver for heart failure (HF), and obesity levels have remained largely unchanged, HF risks have not declined as much and may even be rising in the increasing number of people developing type 2 diabetes at younger ages. Excess weight is also an underrecognized risk factor for chronic kidney disease (CKD). Based on evidence from a range of sources, we explain how excess adiposity must be influencing most risks well before diabetes develops, particularly in younger-onset diabetes, which is linked to greater excess adiposity. We also review potential mechanisms linking excess adiposity to HF and CKD and speculate on how some of the responsible pathways-e.g., hemodynamic, cellular overnutrition, and inflammatory-could be favorably influenced by intentional weight loss (via lifestyle or drugs). On the basis of available evidence, we suggest that the cardiorenal outcome benefits seen with sodium-glucose cotransporter 2 inhibitors may partially derive from their interference of some of these same pathways. We also note that many other complications common in diabetes (e.g., hepatic, joint disease, perhaps mental health) are also variably linked to excess adiposity, the aggregated exposure to which has now increased in type 2 diabetes. All such observations suggest a greater need to tackle excess adiposity earlier in type 2 diabetes.
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Affiliation(s)
- Naveed Sattar
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, Scotland, U.K
| | - Calum Presslie
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, Scotland, U.K
| | - Martin K Rutter
- Division of Diabetes, Endocrinology and Gastroenterology, School of Medical Sciences, University of Manchester, Manchester, U.K
- Diabetes, Endocrinology and Metabolism Centre, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, NIHR Manchester Biomedical Research Centre, Manchester, U.K
| | - Darren K McGuire
- Division of Cardiology, University of Texas Southwestern Medical Center and Parkland Health, Dallas, TX
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Ping WX, Hu S, Su JQ, Ouyang SY. Metabolic disorders in prediabetes: From mechanisms to therapeutic management. World J Diabetes 2024; 15:361-377. [PMID: 38591088 PMCID: PMC10999048 DOI: 10.4239/wjd.v15.i3.361] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Revised: 01/04/2024] [Accepted: 02/07/2024] [Indexed: 03/15/2024] Open
Abstract
Diabetes, one of the world's top ten diseases, is known for its high mortality and complication rates and low cure rate. Prediabetes precedes the onset of diabetes, during which effective treatment can reduce diabetes risk. Prediabetes risk factors include high-calorie and high-fat diets, sedentary lifestyles, and stress. Consequences may include considerable damage to vital organs, including the retina, liver, and kidneys. Interventions for treating prediabetes include a healthy lifestyle diet and pharmacological treatments. However, while these options are effective in the short term, they may fail due to the difficulty of long-term implementation. Medications may also be used to treat prediabetes. This review examines prediabetic treatments, particularly metformin, glucagon-like peptide-1 receptor agonists, sodium glucose cotransporter 2 inhibitors, vitamin D, and herbal medicines. Given the remarkable impact of prediabetes on the progression of diabetes mellitus, it is crucial to intervene promptly and effectively to regulate prediabetes. However, the current body of research on prediabetes is limited, and there is considerable confusion surrounding clinically relevant medications. This paper aims to provide a comprehensive summary of the pathogenesis of pre-diabetes mellitus and its associated therapeutic drugs. The ultimate goal is to facilitate the clinical utilization of medications and achieve efficient and timely control of diabetes mellitus.
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Affiliation(s)
- Wen-Xin Ping
- Biomedical Research Center of South China, College of Life Sciences, Fujian Normal University, Fuzhou 350117, Fujian Province, China
| | - Shan Hu
- Biomedical Research Center of South China, College of Life Sciences, Fujian Normal University, Fuzhou 350117, Fujian Province, China
| | - Jing-Qian Su
- Biomedical Research Center of South China, College of Life Sciences, Fujian Normal University, Fuzhou 350117, Fujian Province, China
| | - Song-Ying Ouyang
- Biomedical Research Center of South China, College of Life Sciences, Fujian Normal University, Fuzhou 350117, Fujian Province, China
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Zhou L, Yang H, Zhang Y, Wang Y, Zhou X, Liu T, Yang Q, Wang Y. Predictive value of lung function measures for cardiovascular risk: a large prospective cohort study. Thorax 2024; 79:250-258. [PMID: 38050152 DOI: 10.1136/thorax-2023-220703] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Accepted: 11/08/2023] [Indexed: 12/06/2023]
Abstract
INTRODUCTION Although lung function measures are associated with cardiovascular disease (CVD), the added predictive values of these measures remain unclear. METHODS From the UK Biobank, 308 415 participants free of CVD with spirometry parameters were included. The CVD outcomes included were defined by QRISK3, the American College of Cardiology/American Heart Association (ACC/AHA) and the European Systematic Coronary Risk Evaluation (SCORE) prediction models, respectively. Cox proportional hazard models were used to estimate the associations of lung function measures with CVD outcomes. The predictive capability was determined by the decision curve analyses. RESULTS Over a median follow-up of 12.5 years, 21 885 QRISK3 events, 12 843 ACC/AHA events and 2987 SCORE events were recorded. The associations of spirometry parameters with CVD outcomes were L-shaped. Restrictive and obstructive impairments were associated with adjusted HRs of 1.84 (95% CI: 1.65 to 2.06) and 1.72 (95% CI: 1.55 to 1.90) for SCORE CVD, respectively, compared with normal spirometry. Similar associations were seen for QRISK3 CVD (restrictive vs normal, adjusted HR: 1.30, 95% CI: 1.25 to 1.36; obstructive vs normal, adjusted HR: 1.20, 95% CI: 1.15 to 1.25) and ACC/AHA CVD (restrictive vs normal, adjusted HR: 1.39, 95% CI: 1.31 to 1.47; obstructive vs normal, adjusted HR: 1.26, 95% CI: 1.19 to 1.33). Using models that integrated non-linear forced expiratory volume in 1 s led to additional 10-year net benefits per 100 000 persons of 25, 43 and 5 for QRISK3 CVD at the threshold of 10%, ACC/AHA CVD at 7.5% and SCORE CVD at 5.0%, respectively. CONCLUSION Clinicians could consider spirometry indicators in CVD risk assessment. Cost-effectiveness studies and clinical trials are needed to put new CVD risk assessment into practice.
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Affiliation(s)
- Lihui Zhou
- School of Public Health, Tianjin Medical University, Tianjin, China
| | - Hongxi Yang
- Department of Bioinformatics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China
| | - Yuan Zhang
- Raymond G. Perelman Centre for Cellular and Molecular Therapeutics, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Yuan Wang
- School of Public Health, Tianjin Medical University, Tianjin, China
| | - Xin Zhou
- Department of Cardiology, Tianjin Medical University General Hospital, Tianjin, China
| | - Tong Liu
- Department of Cardiology, Tianjin Institute of Cardiology, The Second Hospital of Tianjin Medical University, Tianjin, China
| | - Qing Yang
- Department of Cardiology, Tianjin Medical University General Hospital, Tianjin, China
| | - Yaogang Wang
- School of Public Health, Tianjin Medical University, Tianjin, China
- School of Integrative Medicine, Public Health Science and Engineering College, Tianjin University of Traditional Chinese Medicine, Tianjin, China
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Erandathi MA, Wang WYC, Mayo M, Lee CC. Comprehensive Factors for Predicting the Complications of DiabetesMellitus: A Systematic Review. Curr Diabetes Rev 2024; 20:e040124225240. [PMID: 38178670 PMCID: PMC11327746 DOI: 10.2174/0115733998271863231116062601] [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: 07/12/2023] [Revised: 09/05/2023] [Accepted: 09/06/2023] [Indexed: 01/06/2024]
Abstract
BACKGROUND This article focuses on extracting a standard feature set for predicting the complications of diabetes mellitus by systematically reviewing the literature. It is conducted and reported by following the guidelines of PRISMA, a well-known systematic review and meta-analysis method. The research articles included in this study are extracted using the search engine "Web of Science" over eight years. The most common complications of diabetes, diabetic neuropathy, retinopathy, nephropathy, and cardiovascular diseases are considered in the study. METHOD The features used to predict the complications are identified and categorised by scrutinising the standards of electronic health records. RESULT Overall, 102 research articles have been reviewed, resulting in 59 frequent features being identified. Nineteen attributes are recognised as a standard in all four considered complications, which are age, gender, ethnicity, weight, height, BMI, smoking history, HbA1c, SBP, eGFR, DBP, HDL, LDL, total cholesterol, triglyceride, use of insulin, duration of diabetes, family history of CVD, and diabetes. The existence of a well-accepted and updated feature set for health analytics models to predict the complications of diabetes mellitus is a vital and contemporary requirement. A widely accepted feature set is beneficial for benchmarking the risk factors of complications of diabetes. CONCLUSION This study is a thorough literature review to provide a clear state of the art for academicians, clinicians, and other stakeholders regarding the risk factors and their importance.
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Affiliation(s)
| | | | | | - Ching-Chi Lee
- National Chen Kung University Hospital, Tainan, Taiwan
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19
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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: 2] [Impact Index Per Article: 1.0] [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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20
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Parsons RE, Liu X, Collister JA, Clifton DA, Cairns BJ, Clifton L. Independent external validation of the QRISK3 cardiovascular disease risk prediction model using UK Biobank. Heart 2023; 109:1690-1697. [PMID: 37423742 PMCID: PMC10646868 DOI: 10.1136/heartjnl-2022-321231] [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: 03/10/2023] [Accepted: 06/20/2023] [Indexed: 07/11/2023] Open
Abstract
OBJECTIVE To externally evaluate the performance of QRISK3 for predicting 10 year risk of cardiovascular disease (CVD) in the UK Biobank cohort. METHODS We used data from the UK Biobank, a large-scale prospective cohort study of 403 370 participants aged 40-69 years recruited between 2006 and 2010 in the UK. We included participants with no previous history of CVD or statin treatment and defined the outcome to be the first occurrence of coronary heart disease, ischaemic stroke or transient ischaemic attack, derived from linked hospital inpatient records and death registrations. RESULTS Our study population included 233 233 women and 170 137 men, with 9295 and 13 028 incident CVD events, respectively. Overall, QRISK3 had moderate discrimination for UK Biobank participants (Harrell's C-statistic 0.722 in women and 0.697 in men) and discrimination declined by age (<0.62 in all participants aged 65 years or older). QRISK3 systematically overpredicted CVD risk in UK Biobank, particularly in older participants, by as much as 20%. CONCLUSIONS QRISK3 had moderate overall discrimination in UK Biobank, which was best in younger participants. The observed CVD risk for UK Biobank participants was lower than that predicted by QRISK3, particularly for older participants. It may be necessary to recalibrate QRISK3 or use an alternate model in studies that require accurate CVD risk prediction in UK Biobank.
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Affiliation(s)
- Ruth E Parsons
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Xiaonan Liu
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | | | - David A Clifton
- Institute of Biomedical Engineering, University of Oxford, Oxford, UK
| | - Benjamin J Cairns
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Lei Clifton
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
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21
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Wong ND, Sattar N. Cardiovascular risk in diabetes mellitus: epidemiology, assessment and prevention. Nat Rev Cardiol 2023; 20:685-695. [PMID: 37193856 DOI: 10.1038/s41569-023-00877-z] [Citation(s) in RCA: 129] [Impact Index Per Article: 64.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 04/06/2023] [Indexed: 05/18/2023]
Abstract
Cardiovascular diseases (CVDs) are the leading causes of morbidity and mortality in individuals with type 2 diabetes mellitus (T2DM). Secular changes in CVD outcomes have occurred over the past few decades, mainly due to a decline in the incidence of ischaemic heart disease. The onset of T2DM at a young age (<40 years), leading to a greater number of life-years lost, has also become increasingly common. Researchers are now looking beyond established risk factors in patients with T2DM towards the role of ectopic fat and, potentially, haemodynamic abnormalities in mediating important outcomes (such as heart failure). T2DM confers a wide spectrum of risk and is not necessarily a CVD risk equivalent, indicating the importance of risk assessment strategies (such as global risk scoring, consideration of risk-enhancing factors and assessment of subclinical atherosclerosis) to inform treatment. Data from epidemiological studies and clinical trials demonstrate that successful control of multiple risk factors can reduce the risk of CVD events by ≥50%; however, only ≤20% of patients achieve targets for risk factor reduction (plasma lipid levels, blood pressure, glycaemic control, body weight and non-smoking status). Improvements in composite risk factor control with lifestyle management (including a greater emphasis on weight loss interventions) and evidence-based generic and novel pharmacological therapies are therefore needed when the risk of CVD is high.
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Affiliation(s)
- Nathan D Wong
- Heart Disease Prevention Program, Division of Cardiology, University of California, Irvine, CA, USA.
| | - Naveed Sattar
- Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK.
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22
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Ahmed A, Amin H, Drenos F, Sattar N, Yaghootkar H. Genetic Evidence Strongly Supports Managing Weight and Blood Pressure in Addition to Glycemic Control in Preventing Vascular Complications in People With Type 2 Diabetes. Diabetes Care 2023; 46:1783-1791. [PMID: 37556814 DOI: 10.2337/dc23-0855] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2023] [Accepted: 07/05/2023] [Indexed: 08/11/2023]
Abstract
OBJECTIVE To investigate the causal association of type 2 diabetes and its components with risk of vascular complications independent of shared risk factors obesity and hypertension and to identify the main driver of this risk. RESEARCH DESIGN AND METHODS We conducted Mendelian randomization (MR) using independent genetic variants previously associated with type 2 diabetes, fasting glucose, HbA1c, fasting insulin, BMI, and systolic blood pressure as instrumental variables. We obtained summary-level data for 18 vascular diseases (15 for type 2 diabetes) from FinnGen and publicly available genome-wide association studies as our outcomes. We conducted univariable and multivariable MR, in addition to sensitivity tests to detect and minimize pleiotropic effects. RESULTS Univariable MR analysis showed that type 2 diabetes was associated with 9 of 15 outcomes; BMI and systolic blood pressure were associated with 13 and 15 of 18 vascular outcomes, respectively; and fasting insulin was associated with 4 and fasting glucose with 2. No robust association was found for HbA1c instruments. With adjustment for correlated traits in the multivariable test, BMI and systolic blood pressure, consistent causal effects were maintained, while five associations with type 2 diabetes (chronic kidney disease, ischemic heart disease, heart failure, subarachnoid hemorrhage, and intracerebral hemorrhage) were attenuated to null. CONCLUSIONS Our findings add strong evidence to support the importance of BMI and systolic blood pressure in the development of vascular complications in people with type 2 diabetes. Such findings strongly support the need for better weight and blood pressure management in type 2 diabetes, independent of glucose lowering, to limit important complications.
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Affiliation(s)
- Altayeb Ahmed
- Centre for Inflammation Research and Translational Medicine, Department of Life Sciences, Brunel University London, London, U.K
| | - Hasnat Amin
- Centre for Inflammation Research and Translational Medicine, Department of Life Sciences, Brunel University London, London, U.K
| | - Fotios Drenos
- Centre for Inflammation Research and Translational Medicine, Department of Life Sciences, Brunel University London, London, U.K
| | - Naveed Sattar
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, U.K
| | - Hanieh Yaghootkar
- College of Health and Science, University of Lincoln, Lincoln, Lincolnshire, U.K
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23
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Östgren CJ, Otten J, Festin K, Angerås O, Bergström G, Cederlund K, Engström G, Eriksson MJ, Eriksson M, Fall T, Gummesson A, Hagström E, Hellman U, James SK, Jernberg T, Kihlberg J, Kylhammar D, Markstad H, Nilsson P, Persson A, Persson M, Pirazzi C, Renklint R, Rosengren A, Söderberg S, Sundström J. Prevalence of atherosclerosis in individuals with prediabetes and diabetes compared to normoglycaemic individuals-a Swedish population-based study. Cardiovasc Diabetol 2023; 22:261. [PMID: 37759237 PMCID: PMC10537533 DOI: 10.1186/s12933-023-01982-6] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Accepted: 09/05/2023] [Indexed: 09/29/2023] Open
Abstract
BACKGROUND Patients with type 2 diabetes have an increased risk of death and cardiovascular events and people with diabetes or prediabetes have been found to have increased atherosclerotic burden in the coronary and carotid arteries. This study will estimate the cross-sectional prevalence of atherosclerosis in the coronary and carotid arteries in individuals with prediabetes and diabetes, compared with normoglycaemic individuals in a large population-based cohort. METHODS The 30,154 study participants, 50-64 years, were categorized according to their fasting glycaemic status or self-reported data as normoglycaemic, prediabetes, and previously undetected or known diabetes. Prevalence of affected coronary artery segments, severity of stenosis and coronary artery calcium score (CACS) were determined by coronary computed tomography angiography. Total atherosclerotic burden was assessed in the 11 clinically most relevant segments using the Segment Involvement Score and as the presence of any coronary atherosclerosis. The presence of atherosclerotic plaque in the carotid arteries was determined by ultrasound examination. RESULTS Study participants with prediabetes (n = 4804, 16.0%) or diabetes (n = 2282, 7.6%) had greater coronary artery plaque burden, more coronary stenosis and higher CACS than normoglycaemic participants (all, p < 0.01). Among male participants with diabetes 35.3% had CACS ≥ 100 compared to 16.1% among normoglycaemic participants. For women, the corresponding figures were 8.9% vs 6.1%. The prevalence of atherosclerosis in the coronary arteries was higher in participants with previously undetected diabetes than prediabetes, but lower than in patients with known diabetes. The prevalence of any plaque in the carotid arteries was higher in participants with prediabetes or diabetes than in normoglycaemic participants. CONCLUSIONS In this large population-based cohort of currently asymptomatic people, the atherosclerotic burden in the coronary and carotid arteries increased with increasing degree of dysglycaemia. The finding that the atherosclerotic burden in the coronary arteries in the undetected diabetes category was midway between the prediabetes category and patients with known diabetes may have implications for screening strategies and tailored prevention interventions for people with dysglycaemia in the future.
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Affiliation(s)
- Carl Johan Östgren
- Department of Health, Medicine and Caring Sciences, Centre of Medical Image Science and Visualization (CMIV), Linköping University, 581 83, Linköping, SE, Sweden.
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.
| | - Julia Otten
- Department of Public Health and Clinical Medicine, Section of Medicine, Umeå University, Umeå, Sweden
| | - Karin Festin
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
| | - Oskar Angerås
- Department of Cardiology, Sahlgrenska University Hospital, Gothenburg, Sweden
- Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Göran Bergström
- Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Clinical Physiology, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Kerstin Cederlund
- Department of Clinical Science, Intervention and Technology, Karolinska Institute, Stockholm, Sweden
| | - Gunnar Engström
- Department of Clinical Sciences in Malmö, Lund University, Malmö, Sweden
| | - Maria J Eriksson
- Department of Molecular Medicine and Surgery, Karolinska Institute, Stockholm, Sweden
- Department of Clinical Physiology, Karolinska University Hospital, Stockholm, Sweden
| | - Mats Eriksson
- Medicine Unit Endocrinology, Theme Inflammation and Ageing, Karolinska University Hospital, Stockholm, Sweden
- Unit of Endocrinology, Department of Medicine, Karolinska Institute at Karolinska University Hospital Huddinge, Stockholm, Sweden
| | - Tove Fall
- Department of Medical Sciences, Molecular Epidemiology, Uppsala University, Uppsala, Sweden
| | - Anders Gummesson
- Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Clinical Genetics and Genomics, Sahlgrenska University Hospital, Region Västra Götaland, Gothenburg, Sweden
| | - Emil Hagström
- Department of Medical Sciences, Cardiology, Uppsala University, Uppsala, Sweden
- Uppsala Clinical Research Center, Uppsala University, Uppsala, Sweden
| | - Urban Hellman
- Department of Public Health and Clinical Medicine, Section of Medicine, Umeå University, Umeå, Sweden
| | - Stefan K James
- Department of Medical Sciences, Cardiology, Uppsala University, Uppsala, Sweden
- Uppsala Clinical Research Center, Uppsala University, Uppsala, Sweden
| | - Tomas Jernberg
- Department of Clinical Sciences, Danderyd University Hospital, Karolinska Institute, Stockholm, Sweden
| | - Johan Kihlberg
- Department of Health, Medicine and Caring Sciences, Centre of Medical Image Science and Visualization (CMIV), Linköping University, 581 83, Linköping, SE, Sweden
- Department of Radiology and Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
| | - David Kylhammar
- Division of Diagnostics and Specialist Medicine, Department of Health, Medicine and Caring Sciences and Department of Clinical Physiology, Linköping University, Linköping, Sweden
| | - Hanna Markstad
- Center for Medical Imaging and Physiology, Skåne University Hospital and Lund University, Lund, Sweden
- Experimental Cardiovascular Research, Clinical Research Center, Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - Peter Nilsson
- Department of Clinical Sciences in Malmö, Lund University, Malmö, Sweden
- Department of Internal Medicine, Skåne University Hospital, Malmö, Sweden
| | - Anders Persson
- Department of Health, Medicine and Caring Sciences, Centre of Medical Image Science and Visualization (CMIV), Linköping University, 581 83, Linköping, SE, Sweden
- Department of Radiology and Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
- Department of Clinical Sciences, Huddinge University Hospital, Karolinska Institute, Stockholm, Sweden
| | - Margaretha Persson
- Department of Clinical Sciences in Malmö, Lund University, Malmö, Sweden
- Department of Internal Medicine, Skåne University Hospital, Malmö, Sweden
| | - Carlo Pirazzi
- Department of Cardiology, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Rebecka Renklint
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Annika Rosengren
- Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Medicine, Geriatrics and Emergency Medicine, Sahlgrenska University Hospital Östra Hospital, Gothenburg, Sweden
| | - Stefan Söderberg
- Department of Public Health and Clinical Medicine, Section of Medicine, Umeå University, Umeå, Sweden
| | - Johan Sundström
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
- The George Institute for Global Health, University of New South Wales, Sydney, Australia
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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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Rentsch CT, Garfield V, Mathur R, Eastwood SV, Smeeth L, Chaturvedi N, Bhaskaran K. Sex-specific risks for cardiovascular disease across the glycaemic spectrum: a population-based cohort study using the UK Biobank. THE LANCET REGIONAL HEALTH. EUROPE 2023; 32:100693. [PMID: 37671124 PMCID: PMC10477037 DOI: 10.1016/j.lanepe.2023.100693] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 07/05/2023] [Accepted: 07/05/2023] [Indexed: 09/07/2023]
Abstract
Background We sought to examine sex-specific risks for incident cardiovascular disease (CVD) across the full glycaemic spectrum. Methods Using data from UK Biobank, we categorised participants' glycated haemoglobin (HbA1c) at baseline as low-normal (<35 mmol/mol), normal (35-41 mmol/mol), pre-diabetes (42-47 mmol/mol), undiagnosed diabetes (≥48 mmol/mol), or diagnosed diabetes. Our outcomes were coronary artery disease (CAD), atrial fibrillation, deep vein thrombosis (DVT), pulmonary embolism (PE), stroke, heart failure, and a composite outcome of any CVD. Cox regression estimated sex-specific associations between HbA1c and each outcome, sequentially adjusting for socio-demographic, lifestyle, and clinical characteristics. Findings Among 427,435 people, CVD rates were 16.9 and 9.1 events/1000 person-years for men and women, respectively. Both men and women with pre-diabetes, undiagnosed diabetes, and, more markedly, diagnosed diabetes were at higher risks of CVD than those with normal HbA1c, with relative increases more pronounced in women than men. Age-adjusted HRs for pre-diabetes and undiagnosed diabetes ranged from 1.30 to 1.47; HRs for diagnosed diabetes were 1.55 (1.49-1.61) in men and 2.00 (1.89-2.12) in women (p-interaction <0.0001). Excess risks attenuated and were more similar between men and women after adjusting for clinical and lifestyle factors particularly obesity and antihypertensive or statin use (fully adjusted HRs for diagnosed diabetes: 1.06 [1.02-1.11] and 1.17 [1.10-1.24], respectively). Interpretation Excess risks in men and women were largely explained by modifiable factors, and could be ameliorated by attention to weight reduction strategies and greater use of antihypertensive and statin medications. Addressing these risk factors could reduce sex disparities in risk of CVD among people with and without diabetes. Funding Diabetes UK (#15/0005250) and British Heart Foundation (SP/16/6/32726).
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Affiliation(s)
- Christopher T. Rentsch
- Department of Non-Communicable Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, Keppel Street, London, WC1E 7HT, UK
- Department of Internal Medicine, Yale School of Medicine, New Haven, CT, 06510, USA
| | - Victoria Garfield
- MRC Unit for Lifelong Health and Ageing at UCL, Institute of Cardiovascular Science, University College London, London, WC1E 7HB, UK
| | - Rohini Mathur
- Centre for Primary Care, Wolfson Institute of Population Health, Queen Mary, University of London, London, EC1M 6BQ, UK
| | - Sophie V. Eastwood
- Department of Non-Communicable Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, Keppel Street, London, WC1E 7HT, UK
- MRC Unit for Lifelong Health and Ageing at UCL, Institute of Cardiovascular Science, University College London, London, WC1E 7HB, UK
| | - Liam Smeeth
- Department of Non-Communicable Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, Keppel Street, London, WC1E 7HT, UK
| | - Nish Chaturvedi
- MRC Unit for Lifelong Health and Ageing at UCL, Institute of Cardiovascular Science, University College London, London, WC1E 7HB, UK
| | - Krishnan Bhaskaran
- Department of Non-Communicable Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, Keppel Street, London, WC1E 7HT, UK
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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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Yang J, Xia Y, Sun Y, Guo Y, Shi Z, Cristina do Vale Moreira N, Zuo H, Hussain A. Effect of lifestyle intervention on HbA1c levels in overweight and obese adults with type 2 diabetes across ethnicities: A systematic review and meta-analysis of randomized controlled trials. Diabetes Res Clin Pract 2023; 199:110662. [PMID: 37028602 DOI: 10.1016/j.diabres.2023.110662] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Accepted: 03/31/2023] [Indexed: 04/09/2023]
Abstract
AIMS Weight reduction is fundamental for the management and remission of diabetes. We aimed to assess ethnic differences in the effects of lifestyle weight-loss interventions on HbA1c levels in overweight or obese adults with type 2 diabetes mellitus (T2DM). METHODS We systematically searched PubMed/MEDLINE and Web of Science online databases up to 31 Dec 2022. Randomized controlled trials using lifestyle weight-loss interventions in overweight or obese adults with T2DM were selected. We performed subgroup analyses to explore the heterogeneity across different ethnicities (Asians, White/Caucasians, Black/Africans and Hispanics). A random effects model was applied to calculate weighted mean difference (WMD) with 95% confidence interval (CI). RESULTS Thirty studies including 7580 subjects from different ethnicities were identified according to the predefined inclusion and exclusion criteria. HbA1c levels were significantly reduced by lifestyle weight-loss intervention. Notably, a significantly beneficial effect on HbA1c was observed in White/Caucasians (WMD = -0.59, 95% CI: -0.90, -0.28, P < 0.001) and Asians (WMD = -0.48, 95% CI: -0.63, -0.33, P < 0.001), but not in the Black/African or Hispanic group (both P > 0.05). The findings remained essentially unchanged in the sensitivity analysis. CONCLUSIONS Lifestyle weight-loss interventions had distinct beneficial effects on HbA1c levels in different ethnic groups with T2DM, especially in Caucasians and Asians.
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Affiliation(s)
- Jie Yang
- School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China
| | - Yujia Xia
- School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China
| | - Yanan Sun
- School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China
| | - Yufei Guo
- School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China
| | - Zumin Shi
- Department of Human Nutrition, College of Health Sciences, QU Health, Qatar University, Qatar
| | | | - Hui Zuo
- School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China; Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Suzhou Medical College of Soochow University, Suzhou, China.
| | - Akhtar Hussain
- Faculty of Health Sciences, NORD University, Bodø, Norway; Faculty of Medicine, Federal University of Ceará (FAMED-UFC), Brazil; International Diabetes Federation. 166 Chaussee de La Hulpe B-1170, Brussels, Belgium.
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28
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He Y, Lu H, Ling Y, Liu J, Yu S, Zhou Z, Chang T, Liu Y, Chen S, Chen J. Prediabetes and all-cause mortality in young patients undergoing coronary artery angiography: a multicenter cohort study in China. Cardiovasc Diabetol 2023; 22:42. [PMID: 36859269 PMCID: PMC9979507 DOI: 10.1186/s12933-023-01776-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Accepted: 02/19/2023] [Indexed: 03/03/2023] Open
Abstract
BACKGROUND The prevalence of prediabetes is increasing in young adults and patients undergoing coronary angiography. However, whether prediabetes is a considerable risk factor for all-cause mortality remains undetermined in young patients undergoing coronary angiography. METHODS In this study, we retrospectively included 8868 young patients (men aged < 45 years, women aged < 55 years) who underwent coronary angiography (CAG). Patients were categorized as normoglycemic, prediabetes and diabetes according to the HbA1c level or documented history of diabetes. The association of all-cause mortality with diabetes and prediabetes was detected by Cox proportional hazards regression analysis. RESULTS A total of 3240 (36.5%) among 8868 young patients receiving CAG were prediabetes and 2218 (25.0%) were diabetes. 728 patients died during a median follow-up of 4.92 years. Compared to the normoglycemic group, prediabetes increased the risk of all-cause mortality in young CAG patients by 24%(adjusted HR: 1.24, 95% CI: 1.04-1.49, p = 0.019) and diabetes increased the risk of all-cause mortality by 46%(adjusted HR:1.46, 95% CI:1.2-1.79, p < 0.001). Subgroup analysis showed that diabetes and prediabetes increased the risk of death mainly in patients without comorbidities. CONCLUSION Prediabetes accounts for more than one-third of the young adults undergoing CAG and was associated with an increased risk of all-cause mortality, active prevention strategy should be considered for these patients.
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Affiliation(s)
- Yibo He
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.,Department of Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, 510080, China
| | - Hongyu Lu
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.,Department of Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, 510080, China
| | - Yihang Ling
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.,Department of Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, 510080, China.,The Second School of Clinical Medicine, Southern Medical University, Guangzhou, 510515, Guangdong, China
| | - Jin Liu
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.,Department of Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, 510080, China
| | - Sijia Yu
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.,Department of Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, 510080, China.,The Second School of Clinical Medicine, Southern Medical University, Guangzhou, 510515, Guangdong, China
| | - Ziyou Zhou
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.,Department of Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, 510080, China.,School of Medicine, South China University of Technology, Guangzhou, 510006, China
| | - Tian Chang
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.,Department of Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, 510080, China.,School of Medicine, South China University of Technology, Guangzhou, 510006, China
| | - Yong Liu
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China. .,Department of Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, 510080, China.
| | - Shiqun Chen
- Department of Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, 510080, China. .,Global Health Research Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Science, Southern Medical University, Guangzhou, 510100, China.
| | - Jiyan Chen
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China. .,Department of Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, 510080, China.
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Hsu JC, Yang YY, Chuang SL, Lin LY, Chen THH. Prediabetes as a risk factor for new-onset atrial fibrillation: the propensity-score matching cohort analyzed using the Cox regression model coupled with the random survival forest. Cardiovasc Diabetol 2023; 22:35. [PMID: 36804876 PMCID: PMC9940357 DOI: 10.1186/s12933-023-01767-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/03/2022] [Accepted: 02/06/2023] [Indexed: 02/22/2023] Open
Abstract
BACKGROUND The glycemic continuum often indicates a gradual decline in insulin sensitivity leading to an increase in glucose levels. Although prediabetes is an established risk factor for both macrovascular and microvascular diseases, whether prediabetes is independently associated with the risk of developing atrial fibrillation (AF), particularly the occurrence time, has not been well studied using a high-quality research design in combination with statistical machine-learning algorithms. METHODS Using data available from electronic medical records collected from the National Taiwan University Hospital, a tertiary medical center in Taiwan, we conducted a retrospective cohort study consisting 174,835 adult patients between 2014 and 2019 to investigate the relationship between prediabetes and AF. To render patients with prediabetes as comparable to those with normal glucose test, a propensity-score matching design was used to select the matched pairs of two groups with a 1:1 ratio. The Kaplan-Meier method was used to compare the cumulative risk of AF between prediabetes and normal glucose test using log-rank test. The multivariable Cox regression model was employed to estimate adjusted hazard ratio (HR) for prediabetes versus normal glucose test by stratifying three levels of glycosylated hemoglobin (HbA1c). The machine-learning algorithm using the random survival forest (RSF) method was further used to identify the importance of clinical factors associated with AF in patients with prediabetes. RESULTS A sample of 14,309 pairs of patients with prediabetes and normal glucose test result were selected. The incidence of AF was 11.6 cases per 1000 person-years during a median follow-up period of 47.1 months. The Kaplan-Meier analysis revealed that the risk of AF was significantly higher in patients with prediabetes (log-rank p < 0.001). The multivariable Cox regression model indicated that prediabetes was independently associated with a significant increased risk of AF (HR 1.24, 95% confidence interval 1.11-1.39, p < 0.001), particularly for patients with HbA1c above 5.5%. The RSF method identified elevated N-terminal natriuretic peptide and altered left heart structure as the two most important risk factors for AF among patients with prediabetes. CONCLUSIONS Our study found that prediabetes is independently associated with a higher risk of AF. Furthermore, alterations in left heart structure make a significant contribution to this elevated risk, and these structural changes may begin during the prediabetes stage.
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Affiliation(s)
- Jung-Chi Hsu
- Division of Cardiology, Department of Internal Medicine, Fu Jen Catholic University Hospital, Fu Jen Catholic University, New Taipei City, Taiwan.,Division of Cardiology, Department of Internal Medicine, National Taiwan University College of Medicine and Hospital, No.7, Chung-Chan South Road, Taipei, 100, Taiwan
| | - Yen-Yun Yang
- Department of Medical Research, National Taiwan University Hospital, Taipei, Taiwan
| | - Shu-Lin Chuang
- Department of Medical Research, National Taiwan University Hospital, Taipei, Taiwan
| | - Lian-Yu Lin
- Division of Cardiology, Department of Internal Medicine, National Taiwan University College of Medicine and Hospital, No.7, Chung-Chan South Road, Taipei, 100, Taiwan. .,Department of Internal Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan.
| | - Tony Hsiu-Hsi Chen
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan
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30
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Chua SYL, Welsh P, Sun Z, Balaskas K, Warwick A, Steel D, Sivaprasad S, Channa R, Ko T, Sattar N, Khawaja AP, Foster PJ, Patel PJ. Associations Between HbA1c Across the Normal Range, Diagnosed, and Undiagnosed Diabetes and Retinal Layer Thickness in UK Biobank Cohort. Transl Vis Sci Technol 2023; 12:25. [PMID: 36795065 PMCID: PMC9940769 DOI: 10.1167/tvst.12.2.25] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/17/2023] Open
Abstract
Purpose The purpose of this study was to investigate the association between glycated hemoglobin (HbA1c) levels and retinal sub-layer thicknesses in people with and without diabetes. Methods We included 41,453 UK Biobank participants aged 40 to 69 years old. Diabetes status was defined by self-report of diagnosis or use of insulin. Participants were categorized into groups: (1) those with HbA1c <48 mmol/mol were subdivided into quintiles according to normal range of HbA1c; (2) those previously diagnosed with diabetes with no evidence of diabetic retinopathy; and (3) undiagnosed diabetes: >48 mmol/mol. Total macular and retinal sub-layer thicknesses were derived from spectral-domain optical coherence tomography (SD-OCT) images. Multivariable linear regression was used to evaluate the associations between diabetes status and retinal layer thickness. Results Compared with participants in the second quintile of the normal HbA1c range, those in the fifth quintile had a thinner photoreceptor layer thickness (-0.33 µm, P = 0.006). Participants with diagnosed diabetes had a thinner macular retinal nerve fiber layer (mRNFL; -0.58 µm, P < 0.001), photoreceptor layer thickness (-0.94 µm, P < 0.001), and total macular thickness (-1.61 µm, P < 0.001), whereas undiagnosed diabetes participants had a reduced photoreceptor layer thickness (-1.22 µm, P = 0.009) and total macular thickness (-2.26 µm, P = 0.005). Compared to participants without diabetes, those with diabetes had a thinner mRNFL (-0.50 µm, P < 0.001), photoreceptor layer thickness (-0.77 µm, P < 0.001), and total macular thickness (-1.36 µm, P < 0.001). Conclusions Participants with higher HbA1c in the normal range had marginally thinner photoreceptor thickness, whereas those with diabetes (including undiagnosed diabetes) had meaningfully thinner retinal sublayer and total macular thickness. Translational Relevance We showed that early retinal neurodegeneration occurs in people whose HbA1c levels are below the current diabetes diagnostic threshold; this might impact the management of pre-diabetes individuals.
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Affiliation(s)
- Sharon Y. L. Chua
- NIHR Biomedical Research Centre at Moorfields Eye Hospital NHS Foundation Trust & UCL Institute of Ophthalmology, London, UK
| | - Paul Welsh
- Institute of Cardiovascular & Medical Sciences, University of Glasgow, Glasgow, UK
| | - Zihan Sun
- NIHR Biomedical Research Centre at Moorfields Eye Hospital NHS Foundation Trust & UCL Institute of Ophthalmology, London, UK
| | - Konstantinos Balaskas
- NIHR Biomedical Research Centre at Moorfields Eye Hospital NHS Foundation Trust & UCL Institute of Ophthalmology, London, UK
- School of Biological Sciences, University of Manchester, Manchester, UK
| | - Alasdair Warwick
- UCL Institute of Cardiovascular Science, University College London, London, UK
| | - David Steel
- Sunderland Eye Infirmary, Sunderland, UK
- Bioscience Institute, Newcastle University, Newcastle Upon Tyne, UK
| | - Sobha Sivaprasad
- NIHR Biomedical Research Centre at Moorfields Eye Hospital NHS Foundation Trust & UCL Institute of Ophthalmology, London, UK
| | - Roomasa Channa
- Department of Ophthalmology, University of Wisconsin - Madison, Madison, WI, USA
| | - Tony Ko
- Topcon Healthcare Solutions Research & Development, Oakland, NJ, USA
| | - Naveed Sattar
- Institute of Cardiovascular & Medical Sciences, University of Glasgow, Glasgow, UK
| | - Anthony P. Khawaja
- NIHR Biomedical Research Centre at Moorfields Eye Hospital NHS Foundation Trust & UCL Institute of Ophthalmology, London, UK
| | - Paul J. Foster
- NIHR Biomedical Research Centre at Moorfields Eye Hospital NHS Foundation Trust & UCL Institute of Ophthalmology, London, UK
| | - Praveen J. Patel
- NIHR Biomedical Research Centre at Moorfields Eye Hospital NHS Foundation Trust & UCL Institute of Ophthalmology, London, UK
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31
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Tseng RMWW, Rim TH, Shantsila E, Yi JK, Park S, Kim SS, Lee CJ, Thakur S, Nusinovici S, Peng Q, Kim H, Lee G, Yu M, Tham YC, Bakhai A, Leeson P, Lip GYH, Wong TY, Cheng CY. Validation of a deep-learning-based retinal biomarker (Reti-CVD) in the prediction of cardiovascular disease: data from UK Biobank. BMC Med 2023; 21:28. [PMID: 36691041 PMCID: PMC9872417 DOI: 10.1186/s12916-022-02684-8] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Accepted: 11/28/2022] [Indexed: 01/25/2023] Open
Abstract
BACKGROUND Currently in the United Kingdom, cardiovascular disease (CVD) risk assessment is based on the QRISK3 score, in which 10% 10-year CVD risk indicates clinical intervention. However, this benchmark has limited efficacy in clinical practice and the need for a more simple, non-invasive risk stratification tool is necessary. Retinal photography is becoming increasingly acceptable as a non-invasive imaging tool for CVD. Previously, we developed a novel CVD risk stratification system based on retinal photographs predicting future CVD risk. This study aims to further validate our biomarker, Reti-CVD, (1) to detect risk group of ≥ 10% in 10-year CVD risk and (2) enhance risk assessment in individuals with QRISK3 of 7.5-10% (termed as borderline-QRISK3 group) using the UK Biobank. METHODS Reti-CVD scores were calculated and stratified into three risk groups based on optimized cut-off values from the UK Biobank. We used Cox proportional-hazards models to evaluate the ability of Reti-CVD to predict CVD events in the general population. C-statistics was used to assess the prognostic value of adding Reti-CVD to QRISK3 in borderline-QRISK3 group and three vulnerable subgroups. RESULTS Among 48,260 participants with no history of CVD, 6.3% had CVD events during the 11-year follow-up. Reti-CVD was associated with an increased risk of CVD (adjusted hazard ratio [HR] 1.41; 95% confidence interval [CI], 1.30-1.52) with a 13.1% (95% CI, 11.7-14.6%) 10-year CVD risk in Reti-CVD-high-risk group. The 10-year CVD risk of the borderline-QRISK3 group was greater than 10% in Reti-CVD-high-risk group (11.5% in non-statin cohort [n = 45,473], 11.5% in stage 1 hypertension cohort [n = 11,966], and 14.2% in middle-aged cohort [n = 38,941]). C statistics increased by 0.014 (0.010-0.017) in non-statin cohort, 0.013 (0.007-0.019) in stage 1 hypertension cohort, and 0.023 (0.018-0.029) in middle-aged cohort for CVD event prediction after adding Reti-CVD to QRISK3. CONCLUSIONS Reti-CVD has the potential to identify individuals with ≥ 10% 10-year CVD risk who are likely to benefit from earlier preventative CVD interventions. For borderline-QRISK3 individuals with 10-year CVD risk between 7.5 and 10%, Reti-CVD could be used as a risk enhancer tool to help improve discernment accuracy, especially in adult groups that may be pre-disposed to CVD.
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Affiliation(s)
- Rachel Marjorie Wei Wen Tseng
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
| | - Tyler Hyungtaek Rim
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore.
- Ophthalmology and Visual Sciences Academic Clinical Program (Eye ACP), Duke-NUS Medical School, Singapore, Singapore.
- Mediwhale Inc., Seoul, South Korea.
| | - Eduard Shantsila
- Department of Primary Care and Mental Health, University of Liverpool, Liverpool, UK
| | - Joseph K Yi
- Albert Einstein College of Medicine, New York, NY, USA
| | - Sungha Park
- Division of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul, South Korea
| | - Sung Soo Kim
- Division of Retina, Severance Eye Hospital, Yonsei University College of Medicine, Seoul, South Korea
| | - Chan Joo Lee
- Division of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul, South Korea
| | - Sahil Thakur
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
| | - Simon Nusinovici
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
- Ophthalmology and Visual Sciences Academic Clinical Program (Eye ACP), Duke-NUS Medical School, Singapore, Singapore
| | - Qingsheng Peng
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
- Clinical and Translational Sciences Program, Duke-NUS Medical School, Singapore, Singapore
| | | | | | - Marco Yu
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
- Ophthalmology and Visual Sciences Academic Clinical Program (Eye ACP), Duke-NUS Medical School, Singapore, Singapore
| | - Yih-Chung Tham
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
- Ophthalmology and Visual Sciences Academic Clinical Program (Eye ACP), Duke-NUS Medical School, Singapore, Singapore
- Center for Innovation and Precision Eye Health, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Ameet Bakhai
- Royal Free Hospital London NHS Foundation Trust, London, UK
- Cardiology Department, Barnet General Hospital, Thames House, Enfield, UK
| | - Paul Leeson
- Cardiovascular Clinical Research Facility, RDM Division of Cardiovascular Medicine, University of Oxford, Oxford, UK
| | - Gregory Y H Lip
- Liverpool Centre for Cardiovascular Science, University of Liverpool and Liverpool John Moores University and Liverpool Heart & Chest Hospital, Liverpool, United Kingdom; and Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Tien Yin Wong
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
- Tsinghua Medicine, Tsinghua University, Beijing, China
| | - Ching-Yu Cheng
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
- Ophthalmology and Visual Sciences Academic Clinical Program (Eye ACP), Duke-NUS Medical School, Singapore, Singapore
- Center for Innovation and Precision Eye Health, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
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32
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Zhang J, Dong D, Zeng Y, Yang B, Li F, Chen X, Lu J, Guan M, He N, Qiao H, Li K, Xu A, Huang L, Zhu H. The association between stress hyperglycemia and unfavorable outcomes in patients with anterior circulation stroke after mechanical thrombectomy. Front Aging Neurosci 2023; 14:1071377. [PMID: 36688168 PMCID: PMC9849891 DOI: 10.3389/fnagi.2022.1071377] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2022] [Accepted: 12/14/2022] [Indexed: 01/07/2023] Open
Abstract
Background and purpose Stress hyperglycemia is common in critical and severe diseases. However, few studies have examined the association between stress hyperglycemia and the functional outcomes of patients with anterior circulation stroke, after mechanical thrombectomy (MT), in different diabetes status. This study therefore aimed to determine the relationship between stress hyperglycemia and the risk of adverse neurological functional outcomes in anterior circulation stroke patients with and without diabetes after MT. Methods Data of 408 patients with acute anterior circulation stroke treated with MT through the green-channel treatment system for emergency stroke at the First Affiliated Hospital of Jinan University between January 2016 and December 2020 were reviewed retrospectively. The stress hyperglycemia ratio (SHR) was calculated as fasting plasma glucose (mmol/L) divided by glycosylated hemoglobin (%). The patients were stratified into four groups by quartiles of SHR (Q1-Q4). The primary outcome was an excellent (nondisabled) functional outcome at 3 months after admission (modified Rankin Scale score of 0-1). The relationship between stress hyperglycemia and neurological outcome after stroke was assessed using multivariate logistic regression. Results After adjusting for potential confounders, compared with patients in Q1, those in Q4 were less likely to have an excellent outcome at 3 months (odds ratio [OR], 0.32, 95% confidence interval [CI], 0.14-0.66, p = 0.003), a good outcome at 3 months (OR, 0.41, 95% CI, 0.20-0.84, p = 0.020), and major neurological improvement (OR, 0.38, 95% CI, 0.19-0.73, p = 0.004). Severe stress hyperglycemia increased risks of 3-months all-cause mortality (OR, 2.82, 95% CI, 1.09-8.29, p = 0.041) and ICH (OR, 2.54, 95% CI, 1.21-5.50, p = 0.015). Conclusion Stress hyperglycemia was associated with a reduced rate of excellent neurological outcomes, and increased mortality and ICH risks in patients with anterior circulation stroke after MT regardless of diabetes status.
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Affiliation(s)
- Junrun Zhang
- Department of Neurology and Stroke Center, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China,Clinical Neuroscience Institute, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China
| | - Dawei Dong
- Department of Neurology and Stroke Center, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China,Clinical Neuroscience Institute, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China
| | - You Zeng
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
| | - Bing Yang
- Department of Neurology and Stroke Center, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China,Clinical Neuroscience Institute, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China
| | - Fangze Li
- Department of Neurology and Stroke Center, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China,Clinical Neuroscience Institute, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China
| | - Xuefang Chen
- Department of Neurology and Stroke Center, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China,Clinical Neuroscience Institute, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China
| | - Jingchong Lu
- Department of Neurology and Stroke Center, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China,Clinical Neuroscience Institute, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China
| | - Min Guan
- Department of Neurology and Stroke Center, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China,Clinical Neuroscience Institute, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China
| | - Niu He
- Department of Neurology and Stroke Center, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China,Clinical Neuroscience Institute, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China
| | - Hongyu Qiao
- Department of Neurology and Stroke Center, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China,Clinical Neuroscience Institute, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China
| | - Keshen Li
- Department of Neurology and Stroke Center, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China,Clinical Neuroscience Institute, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China
| | - Anding Xu
- Department of Neurology and Stroke Center, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China,Clinical Neuroscience Institute, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China
| | - Li’an Huang
- Department of Neurology and Stroke Center, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China,Clinical Neuroscience Institute, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China,Li’an Huang,
| | - Huili Zhu
- Department of Neurology and Stroke Center, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China,Clinical Neuroscience Institute, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China,*Correspondence: Huili Zhu,
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Liu J, Chen Y, Lu X, Xu X, Bulloch G, Zhu S, Zhu Z, Ge Z, Wang W, Shang X, He M. The Association between Dietary Iron Intake and Incidence of Dementia in Adults Aged 60 Years or over in the UK Biobank. Nutrients 2023; 15:nu15020260. [PMID: 36678132 PMCID: PMC9865143 DOI: 10.3390/nu15020260] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Revised: 12/22/2022] [Accepted: 12/26/2022] [Indexed: 01/06/2023] Open
Abstract
Background Several studies have investigated the association between dietary iron intake and cognitive impairment, but little is known about the relationship between iron intake and dementia incidence. Objectives This study explored the association between dietary iron intake and incident dementia in males and females. Whether this association was modified by factors such as age and medical diseases was also examined. Methods We included 41,213 males and 48,892 females aged 60 years or over, from the UK-Biobank cohort. Dietary iron intake was measured using a web-based 24-h dietary recall questionnaire from between 2009 and 2012. Incident dementia was ascertained using hospital inpatient records and death registers until April 2021. Cox proportional regression models examined the association between iron intake and incident dementia, and hazard ratio curves were constructed with knots from the analysis indicating insufficient or excessive iron intake. Results During a mean follow-up of 11.8 years, 560 males and 492 females developed dementia. A non-linear relationship between iron intake and incident dementia was observed in both males and females. The lowest incidence rates were observed in the higher iron intake quintile (Q4: ≥15.73, <17.57 mg/day) for males, and the intermediate iron intake quintile (Q3: ≥12.4, <13.71 mg/day) for females. Among those aged 60 and above, all-cause dementia in males was associated with deficient iron intake (Q1 versus Q4: Hazard ratio [HR]: 1.37, 95% Confidence interval [95%CI]: 1.01−1.86, p = 0.042) and excessive iron intake (Q5 versus Q4: HR: 1.49, 95%CI: 1.14−1.96, p = 0.003), whilst significant associations between all-cause dementia and deficient iron intake were only observed in females without hypertension. Smoking status was a significant moderator (p-value for trend = 0.017) for dementia in males only. Conclusions Excessive iron intake (≥17.57 mg/day) is associated with a higher incidence of all-cause dementia in males and smoking status modified this association amongst males. Deficient iron intake (<10.93 mg/day) was associated with a higher incidence of all-cause dementia in females without a history of hypertension.
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Affiliation(s)
- Jiahao Liu
- Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, VIC 3010, Australia
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, Melbourne, VIC 3002, Australia
| | - Yutong Chen
- Faculty of Medicine, Nursing and Health Science, Monash University, Clayton, VIC 3800, Australia
| | - Xi Lu
- Charles Perkins Centre, Faculty of Medicine and Health, University of Sydney, Sydney, NSW 2006, Australia
| | - Xiaojing Xu
- Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC 3010, Australia
| | - Gabriella Bulloch
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, Melbourne, VIC 3002, Australia
| | - Susan Zhu
- Austin Hospital, University of Melbourne, Melbourne, VIC 3084, Australia
| | - Zhuoting Zhu
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, Melbourne, VIC 3002, Australia
| | - Zongyuan Ge
- Monash e-Research Center, Faculty of Engineering, Airdoc Research, Nvidia AI Technology Research Center, Monash University, Melbourne, VIC 3800, Australia
| | - Wei Wang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou 510060, China
| | - Xianwen Shang
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, Melbourne, VIC 3002, Australia
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China
| | - Mingguang He
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, Melbourne, VIC 3002, Australia
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou 510060, China
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China
- Correspondence:
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The relationship between glycated hemoglobin level and the stage of periodontitis in individuals without diabetes. PLoS One 2023; 18:e0279755. [PMID: 36608039 PMCID: PMC9821507 DOI: 10.1371/journal.pone.0279755] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Accepted: 12/14/2022] [Indexed: 01/07/2023] Open
Abstract
Glycemic control appears to have a significant impact on the relationship between periodontitis and diabetes. The current study aimed to investigate the association between the stage of periodontitis and hemoglobin A1c (HbA1c) levels in patients considered to be normoglycemic. A total of 135 patients (100 females and 35 males) with no history of diabetes were included in the study. The mean age of the participants was 38.4 years old. All patients underwent a full-mouth periodontal examination. Periodontal diagnosis was determined according to the 2017 World Workshop on the Classification of Periodontal Disease. The glycemic state of the patients was assessed using a chair-side HbA1c analyzer. Ninety patients were diagnosed with periodontitis. Higher average HbA1c levels were associated with the different stages of periodontitis (p<0.01). Most of the non-periodontitis patients were in the non-diabetes group (67%), while most of the periodontitis patients were in the undiagnosed pre-diabetes group (47% of the stages I and II group, and 44% of the stages III and IV groups) (p<0.001). Periodontitis was found to be significantly associated with elevated glycated hemoglobin levels in patients not previously diagnosed with diabetes, and the elevation in HbA1c levels was more evident in patients with stage III and IV periodontitis.
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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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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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Rudnicka AR, Welikala R, Barman S, Foster PJ, Luben R, Hayat S, Khaw KT, Whincup P, Strachan D, Owen CG. Artificial intelligence-enabled retinal vasculometry for prediction of circulatory mortality, myocardial infarction and stroke. Br J Ophthalmol 2022; 106:1722-1729. [PMID: 36195457 PMCID: PMC9685715 DOI: 10.1136/bjo-2022-321842] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Accepted: 08/03/2022] [Indexed: 02/02/2023]
Abstract
AIMS We examine whether inclusion of artificial intelligence (AI)-enabled retinal vasculometry (RV) improves existing risk algorithms for incident stroke, myocardial infarction (MI) and circulatory mortality. METHODS AI-enabled retinal vessel image analysis processed images from 88 052 UK Biobank (UKB) participants (aged 40-69 years at image capture) and 7411 European Prospective Investigation into Cancer (EPIC)-Norfolk participants (aged 48-92). Retinal arteriolar and venular width, tortuosity and area were extracted. Prediction models were developed in UKB using multivariable Cox proportional hazards regression for circulatory mortality, incident stroke and MI, and externally validated in EPIC-Norfolk. Model performance was assessed using optimism adjusted calibration, C-statistics and R2 statistics. Performance of Framingham risk scores (FRS) for incident stroke and incident MI, with addition of RV to FRS, were compared with a simpler model based on RV, age, smoking status and medical history (antihypertensive/cholesterol lowering medication, diabetes, prevalent stroke/MI). RESULTS UKB prognostic models were developed on 65 144 participants (mean age 56.8; median follow-up 7.7 years) and validated in 5862 EPIC-Norfolk participants (67.6, 9.1 years, respectively). Prediction models for circulatory mortality in men and women had optimism adjusted C-statistics and R2 statistics between 0.75-0.77 and 0.33-0.44, respectively. For incident stroke and MI, addition of RV to FRS did not improve model performance in either cohort. However, the simpler RV model performed equally or better than FRS. CONCLUSION RV offers an alternative predictive biomarker to traditional risk-scores for vascular health, without the need for blood sampling or blood pressure measurement. Further work is needed to examine RV in population screening to triage individuals at high-risk.
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Affiliation(s)
| | - Roshan Welikala
- Faculty of Science, Engineering and Computing, Kingston University, Kingston-Upon-Thames, UK
| | - Sarah Barman
- Faculty of Science, Engineering and Computing, Kingston University, Kingston-Upon-Thames, UK
| | - Paul J Foster
- NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology, University College London, London, UK
| | - Robert Luben
- MRC Epidemiology Unit, Cambridge University, Cambridge, UK
| | - Shabina Hayat
- Department of Psychiatry, Cambridge Public Health, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Kay-Tee Khaw
- MRC Epidemiology Unit, Cambridge University, Cambridge, UK
| | - Peter Whincup
- Population Health Research Institute, St George's University of London, London, UK
| | - David Strachan
- Population Health Research Institute, St George's University of London, London, UK
| | - Christopher G Owen
- Population Health Research Institute, St George's University of London, London, UK
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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: 1.7] [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: 5] [Impact Index Per Article: 1.7] [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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Nazarzadeh M, Bidel Z, Canoy D, Copland E, Bennett DA, Dehghan A, Davey Smith G, Holman RR, Woodward M, Gupta A, Adler AI, Wamil M, Sattar N, Cushman WC, McManus RJ, Teo K, Davis BR, Chalmers J, Pepine CJ, Rahimi K. Blood pressure-lowering treatment for prevention of major cardiovascular diseases in people with and without type 2 diabetes: an individual participant-level data meta-analysis. Lancet Diabetes Endocrinol 2022; 10:645-654. [PMID: 35878651 PMCID: PMC9622419 DOI: 10.1016/s2213-8587(22)00172-3] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Revised: 06/05/2022] [Accepted: 06/07/2022] [Indexed: 02/06/2023]
Abstract
BACKGROUND Controversy exists as to whether the threshold for blood pressure-lowering treatment should differ between people with and without type 2 diabetes. We aimed to investigate the effects of blood pressure-lowering treatment on the risk of major cardiovascular events by type 2 diabetes status, as well as by baseline levels of systolic blood pressure. METHODS We conducted a one-stage individual participant-level data meta-analysis of major randomised controlled trials using the Blood Pressure Lowering Treatment Trialists' Collaboration dataset. Trials with information on type 2 diabetes status at baseline were eligible if they compared blood pressure-lowering medications versus placebo or other classes of blood pressure-lowering medications, or an intensive versus a standard blood pressure-lowering strategy, and reported at least 1000 persons-years of follow-up in each group. Trials exclusively on participants with heart failure or with short-term therapies and acute myocardial infarction or other acute settings were excluded. We expressed treatment effect per 5 mm Hg reduction in systolic blood pressure on the risk of developing a major cardiovascular event as the primary outcome, defined as the first occurrence of fatal or non-fatal stroke or cerebrovascular disease, fatal or non-fatal ischaemic heart disease, or heart failure causing death or requiring hospitalisation. Cox proportional hazard models, stratified by trial, were used to estimate hazard ratios (HRs) separately by type 2 diabetes status at baseline, with further stratification by baseline categories of systolic blood pressure (in 10 mm Hg increments from <120 mm Hg to ≥170 mm Hg). To estimate absolute risk reductions, we used a Poisson regression model over the follow-up duration. The effect of each of the five major blood pressure-lowering drug classes, including angiotensin-converting enzyme inhibitors, angiotensin II receptor blockers, β blockers, calcium channel blockers, and thiazide diuretics, was estimated using a network meta-analysis framework. This study is registered with PROSPERO, CRD42018099283. FINDINGS We included data from 51 randomised clinical trials published between 1981 and 2014 involving 358 533 participants (58% men), among whom 103 325 (29%) had known type 2 diabetes at baseline. The baseline mean systolic/diastolic blood pressure of those with and without type 2 diabetes was 149/84 mm Hg (SD 19/11) and 153/88 mm Hg (SD 21/12), respectively. Over 4·2 years median follow-up (IQR 3·0-5·0), a 5 mm Hg reduction in systolic blood pressure decreased the risk of major cardiovascular events in both groups, but with a weaker relative treatment effect in participants with type 2 diabetes (HR 0·94 [95% CI 0·91-0·98]) compared with those without type 2 diabetes (0·89 [0·87-0·92]; pinteraction=0·0013). However, absolute risk reductions did not differ substantially between people with and without type 2 diabetes because of the higher absolute cardiovascular risk among participants with type 2 diabetes. We found no reliable evidence for heterogeneity of treatment effects by baseline systolic blood pressure in either group. In keeping with the primary findings, analysis using stratified network meta-analysis showed no evidence that relative treatment effects differed substantially between participants with type 2 diabetes and those without for any of the drug classes investigated. INTERPRETATION Although the relative beneficial effects of blood pressure reduction on major cardiovascular events were weaker in participants with type 2 diabetes than in those without, absolute effects were similar. The difference in relative risk reduction was not related to the baseline blood pressure or allocation to different drug classes. Therefore, the adoption of differential blood pressure thresholds, intensities of blood pressure lowering, or drug classes used in people with and without type 2 diabetes is not warranted. FUNDING British Heart Foundation, UK National Institute for Health Research, and Oxford Martin School.
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Affiliation(s)
- Milad Nazarzadeh
- Deep Medicine, Oxford Martin School, University of Oxford, Oxford, UK; Nuffield Department of Women's and Reproductive Health, Medical Science Division, University of Oxford, Oxford, UK
| | - Zeinab Bidel
- Deep Medicine, Oxford Martin School, University of Oxford, Oxford, UK; Nuffield Department of Women's and Reproductive Health, Medical Science Division, University of Oxford, Oxford, UK
| | - Dexter Canoy
- Deep Medicine, Oxford Martin School, University of Oxford, Oxford, UK; Nuffield Department of Women's and Reproductive Health, Medical Science Division, University of Oxford, Oxford, UK; NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Emma Copland
- Deep Medicine, Oxford Martin School, University of Oxford, Oxford, UK; Nuffield Department of Women's and Reproductive Health, Medical Science Division, University of Oxford, Oxford, UK
| | - Derrick A Bennett
- NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, UK; Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Abbas Dehghan
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK; MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, Norfolk Place, London, UK
| | | | - Rury R Holman
- Diabetes Trials Unit, Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Mark Woodward
- The George Institute for Global Health, School of Public Health, Imperial College London, London, UK; The George Institute for Global Health, University of New South Wales, Sydney, NSW, Australia
| | - Ajay Gupta
- William Harvey Research Institute, Queen Mary University of London, London, UK
| | - Amanda I Adler
- Diabetes Trials Unit, Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Malgorzata Wamil
- Deep Medicine, Oxford Martin School, University of Oxford, Oxford, UK
| | - Naveed Sattar
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - William C Cushman
- Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Richard J McManus
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Koon Teo
- Population Health Research Institute, McMaster University, Hamilton, ON, Canada
| | - Barry R Davis
- University of Texas School of Public Health, Houston, TX, USA
| | - John Chalmers
- The George Institute for Global Health, University of New South Wales, Sydney, NSW, Australia
| | - Carl J Pepine
- Department of Medicine, University of Florida, Gainesville, FL, USA
| | - Kazem Rahimi
- Deep Medicine, Oxford Martin School, University of Oxford, Oxford, UK; Nuffield Department of Women's and Reproductive Health, Medical Science Division, University of Oxford, Oxford, UK; NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.
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41
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Zhu R, Craciun I, Bernhards-Werge J, Jalo E, Poppitt SD, Silvestre MP, Huttunen-Lenz M, McNarry MA, Stratton G, Handjiev S, Handjieva-Darlenska T, Navas-Carretero S, Sundvall J, Adam TC, Drummen M, Simpson EJ, Macdonald IA, Brand-Miller J, Muirhead R, Lam T, Vestentoft PS, Færch K, Martinez JA, Fogelholm M, Raben A. Age- and sex-specific effects of a long-term lifestyle intervention on body weight and cardiometabolic health markers in adults with prediabetes: results from the diabetes prevention study PREVIEW. Diabetologia 2022; 65:1262-1277. [PMID: 35610522 PMCID: PMC9283166 DOI: 10.1007/s00125-022-05716-3] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Accepted: 03/31/2022] [Indexed: 02/05/2023]
Abstract
AIMS/HYPOTHESIS Lifestyle interventions are the first-line treatment option for body weight and cardiometabolic health management. However, whether age groups or women and men respond differently to lifestyle interventions is under debate. We aimed to examine age- and sex-specific effects of a low-energy diet (LED) followed by a long-term lifestyle intervention on body weight, body composition and cardiometabolic health markers in adults with prediabetes (i.e. impaired fasting glucose and/or impaired glucose tolerance). METHODS This observational study used longitudinal data from 2223 overweight participants with prediabetes in the multicentre diabetes prevention study PREVIEW. The participants underwent a LED-induced rapid weight loss (WL) period followed by a 3 year lifestyle-based weight maintenance (WM) intervention. Changes in outcomes of interest in prespecified age (younger: 25-45 years; middle-aged: 46-54 years; older: 55-70 years) or sex (women and men) groups were compared. RESULTS In total, 783 younger, 319 middle-aged and 1121 older adults and 1503 women and 720 men were included in the analysis. In the available case and complete case analyses, multivariable-adjusted linear mixed models showed that younger and older adults had similar weight loss after the LED, whereas older adults had greater sustained weight loss after the WM intervention (adjusted difference for older vs younger adults -1.25% [95% CI -1.92, -0.58], p<0.001). After the WM intervention, older adults lost more fat-free mass and bone mass and had smaller improvements in 2 h plasma glucose (adjusted difference for older vs younger adults 0.65 mmol/l [95% CI 0.50, 0.80], p<0.001) and systolic blood pressure (adjusted difference for older vs younger adults 2.57 mmHg [95% CI 1.37, 3.77], p<0.001) than younger adults. Older adults had smaller decreases in fasting and 2 h glucose, HbA1c and systolic blood pressure after the WM intervention than middle-aged adults. In the complete case analysis, the above-mentioned differences between middle-aged and older adults disappeared, but the direction of the effect size did not change. After the WL period, compared with men, women had less weight loss (adjusted difference for women vs men 1.78% [95% CI 1.12, 2.43], p<0.001) with greater fat-free mass and bone mass loss and smaller improvements in HbA1c, LDL-cholesterol and diastolic blood pressure. After the WM intervention, women had greater fat-free mass and bone mass loss and smaller improvements in HbA1c and LDL-cholesterol, while they had greater improvements in fasting glucose, triacylglycerol (adjusted difference for women vs men -0.08 mmol/l [-0.11, -0.04], p<0.001) and HDL-cholesterol. CONCLUSIONS/INTERPRETATION Older adults benefited less from a lifestyle intervention in relation to body composition and cardiometabolic health markers than younger adults, despite greater sustained weight loss. Women benefited less from a LED followed by a lifestyle intervention in relation to body weight and body composition than men. Future interventions targeting older adults or women should take prevention of fat-free mass and bone mass loss into consideration. CLINICAL TRIAL REGISTRATION NUMBER ClinicalTrials.gov NCT01777893.
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Affiliation(s)
- Ruixin Zhu
- Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Copenhagen, Denmark
| | - Ionut Craciun
- Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Copenhagen, Denmark
| | - Jan Bernhards-Werge
- 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
| | - Sally D Poppitt
- Human Nutrition Unit, School of Biological Sciences, Department of Medicine, University of Auckland, Auckland, New Zealand
| | - Marta P Silvestre
- Human Nutrition Unit, School of Biological Sciences, Department of Medicine, University of Auckland, Auckland, New Zealand
- CINTESIS, NOVA Medical School (NMS), Universidade Nova de Lisboa, Lisboa, Portugal
| | - Maija Huttunen-Lenz
- Institute for Nursing Science, University of Education Schwäbisch Gmünd, Schwäbisch Gmünd, Germany
| | - Melitta A McNarry
- Applied Sports, Technology, Exercise and Medicine (A-STEM) Research Centre, Swansea University, Swansea, UK
| | - Gareth Stratton
- Applied Sports, Technology, Exercise and Medicine (A-STEM) Research Centre, Swansea University, Swansea, UK
| | - Svetoslav Handjiev
- Department of Pharmacology and Toxicology, Medical University of Sofia, Sofia, Bulgaria
| | | | - 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), Instituto de Salud Carlos III (ISCII), Madrid, Spain
- IdisNA Instituto for Health Research, Pamplona, Spain
| | - Jouko Sundvall
- Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Tanja C Adam
- Department of Nutrition and Movement Sciences, NUTRIM, School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, the Netherlands
| | - Mathijs Drummen
- Department of Nutrition and Movement Sciences, NUTRIM, School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, the Netherlands
| | - Elizabeth J Simpson
- MRC/ARUK Centre for Musculoskeletal Ageing Research, National Institute for Health Research (NIHR) Nottingham Biomedical Research Centre, School of Life Sciences, University of Nottingham, Nottingham, UK
| | - Ian A Macdonald
- MRC/ARUK Centre for Musculoskeletal Ageing Research, National Institute for Health Research (NIHR) Nottingham Biomedical Research Centre, School of Life Sciences, University of Nottingham, Nottingham, UK
| | - Jennie Brand-Miller
- School of Life and Environmental Sciences and Charles Perkins Centre, University of Sydney, Sydney, Australia
| | - Roslyn Muirhead
- School of Life and Environmental Sciences and Charles Perkins Centre, University of Sydney, Sydney, Australia
| | | | - Pia S Vestentoft
- Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Copenhagen, Denmark
| | - 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), Instituto de Salud Carlos III (ISCII), 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, CEI UAM + CSIC, Madrid, Spain
| | - Mikael Fogelholm
- Department of Food and Nutrition, University of Helsinki, Helsinki, Finland.
| | - 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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Li S, Wang Y, Wang W, Zhang Q, Wang A, Zhao X. Stress hyperglycemia is predictive of clinical outcomes in patients with spontaneous intracerebral hemorrhage. BMC Neurol 2022; 22:236. [PMID: 35761206 PMCID: PMC9235136 DOI: 10.1186/s12883-022-02760-9] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Accepted: 06/20/2022] [Indexed: 02/06/2023] Open
Abstract
Background Stress hyperglycemia is a common condition in patients suffering from critical illness such as spontaneous intracerebral hemorrhage (ICH). Our study aimed to use glucose-to-glycated hemoglobin (HbA1c) ratio to investigate the impact of stress hyperglycemia on clinical outcomes in patients with ICH. Methods A sample of eligible 586 patients with spontaneous intracerebral hemorrhage from a multicenter, hospital-based cohort between 2014 and 2016 were recruited in our study. Stress hyperglycemia was evaluated by the index of the glucose-to-HbA1c ratio that was calculated by fasting blood glucose (mmol/L) divided by HbA1c (%). Patients were divided into two groups based on the median of the glucose-to-HbA1c ratio. The main outcomes were poor functional outcomes (modified Rankin Scale score of 3–6) at discharge and 90 days. Multivariable logistic regression and stratified analyses were performed to explore the association of stress hyperglycemia with poor prognosis of ICH. Results On multivariable analysis, higher glucose-to-HbA1c ratio (≥1.02) was independently correlated with poor functional outcomes at discharge (adjusted OR = 3.52, 95%CI: 1.98–6.23) and 90 days (adjusted OR = 2.27, 95%CI: 1.38–3.73) after adjusting for potential confounding factors. The correlation between glucose-to-HbA1c ratio and worse functional outcomes still retained in patients with or without diabetes mellitus. Conclusions Stress hyperglycemia, calculated by glucose-to-HbA1c ratio, was independently correlated with worse functional outcomes at discharge and 90 days in patients with ICH. Moreover, glucose-to-HbA1c ratio, might not only be used as a simple and readily available index to predict clinical outcomes of ICH but also provide meaningful insight into future analysis to investigate the optimal range of glucose levels among ICH patients and develop tailored glucose-lowering strategies. Supplementary Information The online version contains supplementary material available at 10.1186/s12883-022-02760-9.
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Affiliation(s)
- Sijia Li
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119 South 4th Ring West Road, Fengtai District, Beijing, 100070, China
| | - Yu Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119 South 4th Ring West Road, Fengtai District, Beijing, 100070, China
| | - Wenjuan Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119 South 4th Ring West Road, Fengtai District, Beijing, 100070, China.,China National Clinical Research Center for Neurological Diseases, No.119 South 4th Ring West Road, Fengtai District, Beijing, 100070, China.,Research Unit of Artificial Intelligence in Cerebrovascular Disease, Chinese Academy of Medical Sciences, No.119 South 4th Ring West Road, Fengtai District, Beijing, 100070, China
| | - Qian Zhang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119 South 4th Ring West Road, Fengtai District, Beijing, 100070, China.,China National Clinical Research Center for Neurological Diseases, No.119 South 4th Ring West Road, Fengtai District, Beijing, 100070, China.,Research Unit of Artificial Intelligence in Cerebrovascular Disease, Chinese Academy of Medical Sciences, No.119 South 4th Ring West Road, Fengtai District, Beijing, 100070, China
| | - Anxin Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119 South 4th Ring West Road, Fengtai District, Beijing, 100070, China.,China National Clinical Research Center for Neurological Diseases, No.119 South 4th Ring West Road, Fengtai District, Beijing, 100070, China.,Research Unit of Artificial Intelligence in Cerebrovascular Disease, Chinese Academy of Medical Sciences, No.119 South 4th Ring West Road, Fengtai District, Beijing, 100070, China
| | - Xingquan Zhao
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119 South 4th Ring West Road, Fengtai District, Beijing, 100070, China. .,China National Clinical Research Center for Neurological Diseases, No.119 South 4th Ring West Road, Fengtai District, Beijing, 100070, China. .,Research Unit of Artificial Intelligence in Cerebrovascular Disease, Chinese Academy of Medical Sciences, No.119 South 4th Ring West Road, Fengtai District, Beijing, 100070, China.
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43
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Ho FK, Gray SR, Welsh P, Gill JMR, Sattar N, Pell JP, Celis-Morales C. Ethnic differences in cardiovascular risk: examining differential exposure and susceptibility to risk factors. BMC Med 2022; 20:149. [PMID: 35473626 PMCID: PMC9042646 DOI: 10.1186/s12916-022-02337-w] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Accepted: 03/14/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Ethnic differences in cardiovascular disease (CVD) risk have been known for decades, but a systematic exploration of how exposure and susceptibility to risk factors may contribute is lacking. This study aimed to investigate the potential impact of differential exposure and susceptibility between South Asian, Black, and White individuals. METHODS This is a population-based prospective cohort study of UK Biobank participants with a median follow-up of 11.3 years. The association between ethnic group and CVD risk was studied. Additional risk factors were then adjusted to examine mediations. Moderation analysis was conducted to identify whether risk factors had a stronger association in the ethnic minority groups. Population attributable fractions were also calculated to quantify the relative contributions of risk factors for each ethnic group. RESULTS When adjusted for only age and sex, there was a higher risk of CVD among South Asian (n=8815; HR [95% CI] 1.69 [1.59-1.79]) and Black (n=7526; HR [95% CI] 1.12 [1.03-1.22]) compared with White participants (n=434,809). The excess risk of Black participants was completely attenuated following adjustment for deprivation. Compared with White participants, the associations of BMI, triglycerides, and HbA1c with CVD were stronger in South Asians. Adiposity was attributable to the highest proportion of CVD regardless of ethnicity. Smoking had the second largest contribution to CVD among White and Black participants, and HbA1c among South Asian participants. CONCLUSIONS Adiposity is an important risk factor for CVD regardless of ethnicity. Ethnic inequalities in CVD incidence may be best tackled by targeting interventions according to ethnic differences in risk profiles.
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Affiliation(s)
- Frederick K Ho
- Institute of Health and Wellbeing, University of Glasgow, 1 Lilybank Gardens, Glasgow, G12 8RZ, UK.
| | - Stuart R Gray
- Institute of Cardiovascular & Medical Sciences, Glasgow, UK
| | - Paul Welsh
- Institute of Cardiovascular & Medical Sciences, Glasgow, UK
| | - Jason M R Gill
- Institute of Cardiovascular & Medical Sciences, Glasgow, UK
| | - Naveed Sattar
- Institute of Cardiovascular & Medical Sciences, Glasgow, UK
| | - Jill P Pell
- Institute of Health and Wellbeing, University of Glasgow, 1 Lilybank Gardens, Glasgow, G12 8RZ, UK
| | - Carlos Celis-Morales
- Institute of Health and Wellbeing, University of Glasgow, 1 Lilybank Gardens, Glasgow, G12 8RZ, UK
- Institute of Cardiovascular & Medical Sciences, Glasgow, UK
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Hara H, Kawashima H, Ono M, Takahashi K, Mack MJ, Holmes DR, Morice MC, Davierwala PM, Mohr FW, Thuijs DJFM, Kappetein AP, O'Leary N, van Klaveren D, Onuma Y, Serruys PW. Impact of preprocedural biological markers on 10-year mortality in the SYNTAXES trial. EUROINTERVENTION 2022; 17:1477-1487. [PMID: 34669586 PMCID: PMC9896405 DOI: 10.4244/eij-d-21-00415] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
BACKGROUND Creatinine clearance (CrCl) is an independent determinant of mortality in predictive models of revascularisation outcomes for complex coronary artery disease. AIMS This study aimed to investigate the impact of preprocedural biological markers on 10-year mortality following coronary revascularisation. METHODS The SYNTAX Extended Survival (SYNTAXES) study evaluated the 10-year vital status follow-up of 1,800 patients with de novo three-vessel (3VD) and/or left main coronary artery disease (LMCAD) randomised to include percutaneous or surgical coronary revascularisation. The associations between mortality and preprocedural C-reactive protein (CRP), haemoglobin, HbA1c, CrCl, fasting triglycerides, low-density lipoprotein cholesterol, and high-density lipoprotein cholesterol were analysed. RESULTS Out of 1,800 patients, 460 patients died before the 10-year follow-up. CRP, HbA1c and CrCl with threshold values of ≥2 mg/L, ≥6% (42 mmol/mol) and <60 ml/min, respectively, were associated with 10-year all-cause death (adjusted hazard ratio [95% confidence interval]: 1.35 [1.01-1.82], 1.51 [1.16-1.95], and 1.46 [1.07-2.00], respectively). There was no significant interaction between the biological markers on all-cause mortality and the type of revascularisation. Preprocedural lipid markers were not significantly associated with 10-year all-cause death, but the non-use of statins was a determinant factor of worse prognosis (adjusted hazard ratio [95% confidence interval]: 1.68 [1.26-2.25]). CONCLUSIONS Preprocedural biomarkers, such as CRP and HbA1c, are associated with long-term mortality post revascularisation, regardless of the revascularisation technique. Conventional lipidic biomarkers associated with high-risk of cardiovascular events seem to be effectively mitigated by the long-term use of statins, whereas the non-use of statins was a factor of a worse prognosis, emphasising the importance of pharmacological treatment. TRIAL REGISTRATION SYNTAXES ClinicalTrials.gov: NCT03417050. SYNTAX ClinicalTrials.gov: NCT00114972.
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Affiliation(s)
- Hironori Hara
- Department of Cardiology, Academic Medical Center, University of Amsterdam, Amsterdam, the Netherlands.,Department of Cardiology, National University of Ireland, Galway (NUIG), Galway, Ireland
| | - Hideyuki Kawashima
- Department of Cardiology, Academic Medical Center, University of Amsterdam, Amsterdam, the Netherlands.,Department of Cardiology, National University of Ireland, Galway (NUIG), Galway, Ireland
| | - Masafumi Ono
- Department of Cardiology, Academic Medical Center, University of Amsterdam, Amsterdam, the Netherlands.,Department of Cardiology, National University of Ireland, Galway (NUIG), Galway, Ireland
| | - Kuniaki Takahashi
- Department of Cardiology, Academic Medical Center, University of Amsterdam, Amsterdam, the Netherlands
| | - Michael J Mack
- Department of Cardiothoracic Surgery, Baylor Scott & White Health, Dallas, TX, USA
| | - David R Holmes
- Department of Cardiovascular Diseases and Internal Medicine, Mayo Clinic, Rochester, MN, USA
| | - Marie-Claude Morice
- Unité de Cardiologie, Hôpital Privé Jacques Cartier, Générale de Santé Massy, Massy, France
| | - Piroze M Davierwala
- University Department of Cardiac Surgery, Heart Centre Leipzig, Leipzig, Germany
| | - Friedrich W Mohr
- University Department of Cardiac Surgery, Heart Centre Leipzig, Leipzig, Germany
| | - Daniel J F M Thuijs
- Department of Cardiothoracic Surgery, Erasmus University Medical Centre, Rotterdam, the Netherlands
| | - Arie Pieter Kappetein
- Department of Cardiology, National University of Ireland, Galway (NUIG), Galway, Ireland
| | - Neil O'Leary
- Health Research Board Clinical Research Facility, Department of Medicine, NUIG, Galway, Ireland
| | - David van Klaveren
- Department of Public Health, Center for Medical Decision Making, Erasmus MC, Rotterdam, the Netherlands.,Predictive Analytics and Comparative Effectiveness Center, Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA, USA
| | - Yoshinobu Onuma
- Department of Cardiology, National University of Ireland, Galway (NUIG), Galway, Ireland
| | - Patrick W Serruys
- Department of Cardiology, National University of Ireland, Galway (NUIG), Galway, Ireland.,NHLI, Imperial College London, London, United Kingdom
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Huang M, Laina-Nicaise LD, Zha L, Tang T, Cheng X. Causal Association of Type 2 Diabetes Mellitus and Glycemic Traits With Cardiovascular Diseases and Lipid Traits: A Mendelian Randomization Study. Front Endocrinol (Lausanne) 2022; 13:840579. [PMID: 35528012 PMCID: PMC9072667 DOI: 10.3389/fendo.2022.840579] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Accepted: 02/16/2022] [Indexed: 11/23/2022] Open
Abstract
Objective We aimed to evaluate the causal effect of type 2 diabetes mellitus (T2DM) and glycemic traits on the risk of a wide range of cardiovascular diseases (CVDs) and lipid traits using Mendelian randomization (MR). Methods Genetic variants associated with T2DM, fasting glucose, fasting insulin, and hemoglobin A1c were selected as instrumental variables to perform both univariable and multivariable MR analyses. Results In univariable MR, genetically predicted T2DM was associated with higher odds of peripheral artery disease (pooled odds ratio (OR) =1.207, 95% CI: 1.162-1.254), myocardial infarction (OR =1.132, 95% CI: 1.104-1.160), ischemic heart disease (OR =1.129, 95% CI: 1.105-1.154), heart failure (OR =1.050, 95% CI: 1.029-1.072), stroke (OR =1.087, 95% CI: 1.068-1.107), ischemic stroke (OR =1.080, 95% CI: 1.059-1.102), essential hypertension (OR =1.013, 95% CI: 1.010-1.015), coronary atherosclerosis (OR =1.005, 95% CI: 1.004-1.007), and major coronary heart disease event (OR =1.003, 95% CI: 1.002-1.004). Additionally, T2DM was causally related to lower levels of high-density lipoprotein cholesterol (OR =0.965, 95% CI: 0.958-0.973) and apolipoprotein A (OR =0.982, 95% CI: 0.977-0.987) but a higher level of triglycerides (OR =1.060, 95% CI: 1.036-1.084). Moreover, causal effect of glycemic traits on CVDs and lipid traits were also observed. Finally, most results of univariable MR were supported by multivariable MR. Conclusion We provided evidence for the causal effects of T2DM and glycemic traits on the risk of CVDs and dyslipidemia. Further investigations to elucidate the underlying mechanisms are warranted.
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Affiliation(s)
- Mingkai Huang
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Key Laboratory of Biological Targeted Therapy of the Ministry of Education, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Loum-Davadi Laina-Nicaise
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Key Laboratory of Biological Targeted Therapy of the Ministry of Education, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Lingfeng Zha
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Key Laboratory of Biological Targeted Therapy of the Ministry of Education, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Tingting Tang
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Key Laboratory of Biological Targeted Therapy of the Ministry of Education, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiang Cheng
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Key Laboratory of Biological Targeted Therapy of the Ministry of Education, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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46
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Hoffmann AP, Honigberg MC. Glycated Hemoglobin as an Integrator of Cardiovascular Risk in Individuals Without Diabetes: Lessons from Recent Epidemiologic Studies. Curr Atheroscler Rep 2022; 24:435-442. [PMID: 35386092 DOI: 10.1007/s11883-022-01024-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/14/2022] [Indexed: 12/19/2022]
Abstract
PURPOSE OF REVIEW Prediabetes, or dysglycemia in the absence of diabetes, is a prevalent condition typically defined by a glycated hemoglobin (HgbA1c) of 5.7- < 6.5%. This article reviews current contemporary data examining the association between prediabetes and cardiovascular disease (CVD) as well as HgbA1c as a continuous measure of cardiovascular risk across the glycemic spectrum. RECENT FINDINGS Dysglycemia in the prediabetic range is associated with an increased risk of both subclinical and clinical CVD, including atherosclerotic CVD, chronic kidney disease, and heart failure. Several recent large, prospective studies demonstrate roughly linear risk with increasing HgbA1c, even below the threshold for prediabetes. "High-risk" patients with prediabetes have similar CVD risk as those with diabetes. HgbA1c below the threshold for diabetes stratifies CVD risk. Use of HgbA1c as a continuous measure, rather than simply dichotomized, may inform current and future prevention strategies. Given the high population attributable risk associated with prediabetes, targeted prevention strategies in this population warrant dedicated study.
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Affiliation(s)
- Alexander P Hoffmann
- Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA
| | - Michael C Honigberg
- Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA.
- Cardiovascular Research Center, Massachusetts General Hospital, 185 Cambridge Street, Boston, MA, 02114, USA.
- Cardiology Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, MA, Boston, 02114, USA.
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47
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Davidson MB. Historical review of the diagnosis of prediabetes/intermediate hyperglycemia: Case for the international criteria. Diabetes Res Clin Pract 2022; 185:109219. [PMID: 35134465 DOI: 10.1016/j.diabres.2022.109219] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Revised: 12/03/2021] [Accepted: 01/25/2022] [Indexed: 11/29/2022]
Abstract
In 1997, the ADA recommended an IFG criterion for diagnosing prediabetes/intermediate hyperglycemia of FPG concentrations of 6.1-6.9 mmol/L (110-125 mg/dL). In 2003, they lowered it to 5.6-6.9 mmol/L (100-125 mg/dL) to equalize developing diabetes between IGT and IFG. International organizations accepted the first IFG criterion but not the second. The ADA subsequently recommended HbA1c levels for diagnosing prediabetes/intermediate hyperglycemia of 39-47 mmol/mol (5.7-6.4%) based on a model that utilized the composite risk of developing diabetes and CVD. However, the evidence that the intermediate hyperglycemia that defines prediabetes is independently associated with CVD is weak. Rather, the other risk factors for CVD in the metabolic syndrome are responsible. The WHO opined that prediabetes/intermediate hyperglycemia could not be diagnosed by HbA1c levels but the Canadians and Europeans recommended its diagnosis by values of 42-47 mmol/mol (6.0-6.4%). With the ADA criteria, approximately one-half of people are normal on re-testing, one-third spontaneously revert to normal over time and two-thirds never develop diabetes in their lifetimes. The international criteria for prediabetes/intermediate hyperglycemia increase the risk of developing diabetes and might motivate these individuals to more seriously undertake lifestyle interventions as a preventive measure.
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Affiliation(s)
- Mayer B Davidson
- Charles R. Drew University, 1731 East 120(th) Street, Los Angeles, CA 90059, United States.
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48
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Zolton JR, Sjaarda LA, Mumford SL, Holland TL, Kim K, Flannagan KS, Yisahak SF, Hinkle SN, Connell MT, White MV, Perkins NJ, Silver RM, Hill MJ, DeCherney AH, Schisterman EF. Preconception hemoglobin A1c in healthy women is not associated with fecundability or pregnancy loss. F S Rep 2022; 3:39-46. [PMID: 35386497 PMCID: PMC8978107 DOI: 10.1016/j.xfre.2022.01.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Revised: 01/12/2022] [Accepted: 01/13/2022] [Indexed: 11/29/2022] Open
Abstract
Objective To examine the relationship of preconception hemoglobin A1c, a marker of cumulative exposure to glucose over the preceding 2–3 months, with time to pregnancy, pregnancy loss, and live birth among fecund women without diagnosed diabetes or other medical diseases. Design A secondary analysis of a prospective cohort of women participating in the Effects of Aspirin in Gestation and Reproduction (EAGeR) trial. Setting Four US academic medical centers. Patient(s) A total of 1,194 healthy women aged 18–40 years with a history of one or two pregnancy losses attempting spontaneous conception were observed for up to six cycles while attempting pregnancy and throughout pregnancy if they conceived. Intervention(s) Not applicable. Main Outcome Measure(s) Time to pregnancy, human chorionic gonadotropin pregnancy, clinical pregnancy, pregnancy loss, and live birth. Result(s) Although increasing preconception A1c level was associated with reduced fecundability (fecundability odds ratio [FOR] per unit increase in A1c 0.74; 95% confidence interval [CI] 0.57, 0.96) in unadjusted models and models adjusted for age, race, smoking and treatment arm (FOR 0.79; 95% CI 0.60, 1.04), results were attenuated after further adjustment for body mass index (FOR 0.91; 95% CI 0.68, 1.21). Preconception A1c levels among women without diagnosed diabetes were not associated with live birth or pregnancy loss. Conclusions(s) Among healthy women without diagnosed diabetes, we observed no association of A1c with live birth or pregnancy loss. The association between A1c and fecundability was influenced by body mass index, a strong risk factor for both diabetes and infertility. These data support current recommendations that preconception A1c screening should be reserved for patients with risk factors for diabetes. Clinical Trial Registration Number ClinicalTrials.gov: NCT00467363.
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49
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Chen X, Zhao S, Hsue C, Dai X, Liu L, Miller JD, Fang Z, Feng J, Huang Y, Wang X, Lou Q. Effects of aerobic training and resistance training in reducing cardiovascular disease risk for patients with prediabetes: A multi-center randomized controlled trial. Prim Care Diabetes 2021; 15:1063-1070. [PMID: 34649825 DOI: 10.1016/j.pcd.2021.08.013] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/04/2020] [Revised: 08/17/2021] [Accepted: 08/24/2021] [Indexed: 11/20/2022]
Abstract
AIMS Aerobic training (AT) and resistance training (RT) can reduce blood glucose and type 2 diabetes risk, and increase muscle mass for prediabetes patients. However, the impact of long-term AT and RT on cardiovascular disease (CVD) risk remains unclear. The purpose of this study was to investigate the impact of AT and RT on CVD risk reduction in prediabetes patients. MATERIALS AND METHODS 248 prediabetes patients were enrolled in this multi-center randomized controlled trial (RCT). Patients were randomly divided into 3 groups: RT (n = 82), aerobic training (AT (n = 83)), and control group (n = 83). Participants in RT and AT groups had moderate RT or AT 3 times a week (150 min/week) under supervision in 3 research centers for 24 months. Primary outcome was CVD risk measured by Framingham Risk Score (FRS) and The Chinese 10-year ischemic cardiovascular disease (ICVD) risk assessment tool. Secondary outcomes included in HOMA2-IR, HbA1c, blood pressure and serum lipid profile. RESULTS Both RT and AT groups experienced a significant reduction in HOMA2-IR, HbA1c, LDL-C, TC, SBP, and DBP at the end of 12 and 24 months. Compared to the control group, Both RT and AT groups had significant reduction of the Chinese 10-year ICVD risk (P < 0.05), but FRS CVD risk declined significantly only in the AT group (all P < 0.05). Although FRS CVD risk decreased more in the RT group than in the control group, the difference was not statistically significant. After adjusting for age, gender, statin use, BMI, and WHR, in COX's proportional hazard model, RT (HR = 0.419, P = 0.037) and AT (HR = 0.310, P = 0.026) were protective factors for CVD risk in prediabetes patients. 24-month RT and AT decreased respectively 58.1% and 69.0% of CVD risk (10-year ICVD risk assessment) in prediabetes patients. CONCLUSIONS This study demonstrated that 24-month moderate AT reduces the Chinese 10-year ICVD risk and FRS CVD risk in prediabetes patients. RT groups had significant reduction of CVD risk (10-year ICVD risk assessment) in prediabetes patients. TRIAL REGISTRATION Clinical trial registration number: NCT02561377. DATE OF REGISTRATION 24/09/2015.
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Affiliation(s)
- Xue Chen
- Hainan General Hospital, Haikou, Hainan, China; Jiangsu College of Nursing, Huai'an, Jiangsu, China
| | - Songqing Zhao
- Huai'an Hospital Affiliated to Nanjing Medical University, China
| | - Cunyi Hsue
- University of Massachusetts Amherst, USA
| | - Xia Dai
- The First Affiliated Hospital of Guangxi Medical University, China
| | | | | | - Zhaohui Fang
- The First Affiliated Hospital of Anhui University of Chinese Medicine, China
| | - Jitao Feng
- Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Yong Huang
- Danyang People's Hospital of Jiangsu Province, China
| | - Xindong Wang
- Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
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50
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Yahyavi SK, Snorgaard O, Knop FK, Schou M, Lee C, Selmer C, Gislason G, Torp-Pedersen C, Blomberg Jensen M, Nissen Bonde A. Prediabetes Defined by First Measured HbA 1c Predicts Higher Cardiovascular Risk Compared With HbA 1c in the Diabetes Range: A Cohort Study of Nationwide Registries. Diabetes Care 2021; 44:2767-2774. [PMID: 34675054 DOI: 10.2337/dc21-1062] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Accepted: 09/16/2021] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To assess the risk of major adverse cardiovascular events (MACE), all-cause mortality, and initiation of medical treatment in subjects with prediabetes according to first-time measured HbA1c. RESEARCH DESIGN AND METHODS Through registry databases, we identified 326,305 Danish patients with a first HbA1c between 40 and 51 mmol/mol (5.8-6.8%) from 2011 to 2017. After exclusion of patients with prior disease, 84,678 patients were followed 12 months after first HbA1c measurement. Cox regression models were used to estimate hazard ratios (HRs) of MACE and standardized absolute risks. Cumulative incidences were used to analyze initiation of glucose-lowering, antihypertensive, cholesterol-lowering, and antithrombotic medication. RESULTS The 12-month risk of MACE and all-cause mortality increased gradually with increasing HbA1c until 47 mmol/mol (6.5%). In comparisons of subjects with HbA1c 40-41 mmol/mol (5.8-5.9%), subjects with HbA1c 46-47 mmol/mol (6.4-6.5%) had a 0.79% (95% CI 0.33-1.24) higher standardized absolute risk and an HR of 2.21 (95% CI 1.67-2.92) of MACE. Patients with HbA1c 48-49 mmol/mol (6.5-6.6%) had a 0.09% (95% CI -0.35 to 0.52) lower absolute risk and an HR of 1.33 (95% CI 0.87-2.05) of MACE. Initiation of medication was significantly lower among patients with HbA1c of 46-47 mmol/mol (6.4-6.5%) than among patients with HbA1c of 48-49 mmol/mol (6.5-6.6%). CONCLUSIONS In the Danish population screened for diabetes with HbA1c, the highest risk of MACE and all-cause mortality was found in subjects with HbA1c just below the diagnostic threshold for diabetes. Our results highlight the need for increased focus on the treatment of cardiovascular risk factors for subjects with prediabetes.
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Affiliation(s)
- Sam Kafai Yahyavi
- Group of Skeletal, Mineral, and Gonadal Endocrinology, Department of Growth and Reproduction, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
| | - Ole Snorgaard
- Department of Endocrinology, Hvidovre Hospital, University of Copenhagen, Hvidovre, Denmark
| | - Filip Krag 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, Gentofte, Denmark
| | - Morten Schou
- Department of Cardiology, Copenhagen University Hospital Herlev and Gentofte, Hellerup, Denmark
| | - Christina Lee
- Department of Cardiology, Copenhagen University Hospital Herlev and Gentofte, Hellerup, Denmark
| | - Christian Selmer
- Department of Endocrinology, Bispebjerg and Frederiksberg University Hospital, Copenhagen, Denmark
| | - Gunnar Gislason
- Department of Cardiology, Copenhagen University Hospital Herlev and Gentofte, Hellerup, Denmark
| | - Christian Torp-Pedersen
- Department of Cardiology, Nordsjaellands Hospital, Hillerød, Denmark.,Department of Cardiology, Aalborg University Hospital, Aalborg, Denmark.,Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Martin Blomberg Jensen
- Group of Skeletal, Mineral, and Gonadal Endocrinology, Department of Growth and Reproduction, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark.,Division of Bone and Mineral Research, Harvard School of Dental Medicine/Harvard Medical School, Harvard University, Boston, MA
| | - Anders Nissen Bonde
- Department of Cardiology, Copenhagen University Hospital Herlev and Gentofte, Hellerup, Denmark
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