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Rao VN, Sharma A, Stebbins A, Buse JB, Katona BG, Pagidipati NJ, Holman RR, Hernandez A, Mentz RJ, Lopes RD. Regional variation in cause of death in patients with type 2 diabetes: Insights from EXSCEL. Am Heart J 2024; 271:123-135. [PMID: 38395292 DOI: 10.1016/j.ahj.2024.02.013] [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: 02/17/2024] [Accepted: 02/17/2024] [Indexed: 02/25/2024]
Abstract
AIMS Type 2 diabetes (T2D) is a risk factor for cardiovascular and non-cardiovascular mortality. However, global distribution of cause-specific deaths in T2D is poorly understood. We characterized cause-specific deaths by geographic region among individuals with T2D at risk for cardiovascular disease (CVD). METHODS AND RESULTS The international EXSCEL trial included 14,752 participants with T2D (73% with established CVD). We identified the proportion of deaths over 5-year follow-up attributed to cardiovascular and non-cardiovascular causes, and associated risk factors. During median 3.2-year follow-up, 1,091 (7.4%) participants died. Adjudicated causes of death were 723 cardiovascular (66.3% of deaths), including 252 unknown, and 368 non-cardiovascular (33.7%). Most deaths occurred in North America (N = 356/9.6% across region) and Eastern Europe (N = 326/8.1%), with fewest in Asia/Pacific (N = 68/4.4%). The highest proportional cause-specific deaths by region were sudden cardiac in Asia/Pacific (23/34% of regional deaths) and North America (86/24%); unknown in Eastern Europe (90/28%) and Western Europe (39/21%); and non-malignant non-cardiovascular in Latin America (48/31%). Cox proportional hazards model for adjudicated causes of death showed prognostic risk factors (hazard ratio [95% CI]) for cardiovascular and non-cardiovascular deaths, respectively: heart failure 2.04 (1.72-2.42) and 1.86 (1.46-2.39); peripheral artery disease 1.83 (1.54-2.18) and 1.78 (1.40-2.26); and current smoking status 1.61 (1.29-2.01) and 1.77 (1.31-2.40). CONCLUSIONS In a contemporary T2D trial population, with and without established CVD, leading causes of death varied by geographic region. Underlying mechanisms leading to variability in cause of death across geographic regions and its impact on clinical trial endpoints warrant future research.
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Affiliation(s)
- Vishal N Rao
- Division of Cardiovascular Medicine, Medical University of South Carolina and the Ralph H. Johnson Department of Veterans Affairs Medical Center, Charleston, SC
| | - Abhinav Sharma
- Division of Cardiology, McGill University Health Centre, Montreal, Quebec, Canada
| | - Amanda Stebbins
- Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC
| | - John B Buse
- Department of Medicine, University of North Carolina School of Medicine, Chapel Hill, NC
| | | | - Neha J Pagidipati
- Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC; Division of Cardiology, Duke University School of Medicine, Durham, NC
| | - Rury R Holman
- Diabetes Trials Unit, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Adrian Hernandez
- Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC; Division of Cardiology, Duke University School of Medicine, Durham, NC
| | - Robert J Mentz
- Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC; Division of Cardiology, Duke University School of Medicine, Durham, NC
| | - Renato D Lopes
- Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC; Division of Cardiology, Duke University School of Medicine, Durham, NC.
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Ahmad A, Lim LL, Morieri ML, Tam CHT, Cheng F, Chikowore T, Dudenhöffer-Pfeifer M, Fitipaldi H, Huang C, Kanbour S, Sarkar S, Koivula RW, Motala AA, Tye SC, Yu G, Zhang Y, Provenzano M, Sherifali D, de Souza RJ, Tobias DK, Gomez MF, Ma RCW, Mathioudakis N. Precision prognostics for cardiovascular disease in Type 2 diabetes: a systematic review and meta-analysis. COMMUNICATIONS MEDICINE 2024; 4:11. [PMID: 38253823 PMCID: PMC10803333 DOI: 10.1038/s43856-023-00429-z] [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: 05/12/2023] [Accepted: 12/14/2023] [Indexed: 01/24/2024] Open
Abstract
BACKGROUND Precision medicine has the potential to improve cardiovascular disease (CVD) risk prediction in individuals with Type 2 diabetes (T2D). METHODS We conducted a systematic review and meta-analysis of longitudinal studies to identify potentially novel prognostic factors that may improve CVD risk prediction in T2D. Out of 9380 studies identified, 416 studies met inclusion criteria. Outcomes were reported for 321 biomarker studies, 48 genetic marker studies, and 47 risk score/model studies. RESULTS Out of all evaluated biomarkers, only 13 showed improvement in prediction performance. Results of pooled meta-analyses, non-pooled analyses, and assessments of improvement in prediction performance and risk of bias, yielded the highest predictive utility for N-terminal pro b-type natriuretic peptide (NT-proBNP) (high-evidence), troponin-T (TnT) (moderate-evidence), triglyceride-glucose (TyG) index (moderate-evidence), Genetic Risk Score for Coronary Heart Disease (GRS-CHD) (moderate-evidence); moderate predictive utility for coronary computed tomography angiography (low-evidence), single-photon emission computed tomography (low-evidence), pulse wave velocity (moderate-evidence); and low predictive utility for C-reactive protein (moderate-evidence), coronary artery calcium score (low-evidence), galectin-3 (low-evidence), troponin-I (low-evidence), carotid plaque (low-evidence), and growth differentiation factor-15 (low-evidence). Risk scores showed modest discrimination, with lower performance in populations different from the original development cohort. CONCLUSIONS Despite high interest in this topic, very few studies conducted rigorous analyses to demonstrate incremental predictive utility beyond established CVD risk factors for T2D. The most promising markers identified were NT-proBNP, TnT, TyG and GRS-CHD, with the highest strength of evidence for NT-proBNP. Further research is needed to determine their clinical utility in risk stratification and management of CVD in T2D.
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Affiliation(s)
- Abrar Ahmad
- Department of Clinical Sciences, Lund University Diabetes Centre, Lund University, Malmö, Sweden
| | - Lee-Ling Lim
- Department of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
- Asia Diabetes Foundation, Hong Kong SAR, China
| | - Mario Luca Morieri
- Metabolic Disease Unit, University Hospital of Padova, Padova, Italy
- Department of Medicine, University of Padova, Padova, Italy
| | - Claudia Ha-Ting Tam
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
- Laboratory for Molecular Epidemiology in Diabetes, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Feifei Cheng
- Health Management Center, The Second Affiliated Hospital of Chongqing Medical University, Chongqing Medical University, Chongqing, China
| | - Tinashe Chikowore
- MRC/Wits Developmental Pathways for Health Research Unit, Department of Paediatrics, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | | | - Hugo Fitipaldi
- Department of Clinical Sciences, Lund University Diabetes Centre, Lund University, Malmö, Sweden
| | - Chuiguo Huang
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
- Laboratory for Molecular Epidemiology in Diabetes, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong SAR, China
| | | | - Sudipa Sarkar
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Robert Wilhelm Koivula
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, United Kingdom
| | - Ayesha A Motala
- Department of Diabetes and Endocrinology, Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa
| | - Sok Cin Tye
- Department of Clinical Pharmacy and Pharmacology, University Medical Center Groningen, Groningen, the Netherlands
- Sections on Genetics and Epidemiology, Joslin Diabetes Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Gechang Yu
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
- Laboratory for Molecular Epidemiology in Diabetes, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Yingchai Zhang
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
- Laboratory for Molecular Epidemiology in Diabetes, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Michele Provenzano
- Nephrology, Dialysis and Renal Transplant Unit, IRCCS-Azienda Ospedaliero-Universitaria di Bologna, Alma Mater Studiorum University of Bologna, Bologna, Italy
| | - Diana Sherifali
- Heather M. Arthur Population Health Research Institute, McMaster University, Ontario, Canada
| | - Russell J de Souza
- Department of Health Research Methods, Evidence, and Impact, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
- Population Health Research Institute, Hamilton Health Sciences Corporation, Hamilton, Ontario, Canada
| | | | - Maria F Gomez
- Department of Clinical Sciences, Lund University Diabetes Centre, Lund University, Malmö, Sweden.
- Faculty of Health, Aarhus University, Aarhus, Denmark.
| | - Ronald C W Ma
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China.
- Laboratory for Molecular Epidemiology in Diabetes, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China.
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong SAR, China.
| | - Nestoras Mathioudakis
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
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3
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Young KG, McInnes EH, Massey RJ, Kahkoska AR, Pilla SJ, Raghavan S, Stanislawski MA, Tobias DK, McGovern AP, Dawed AY, Jones AG, Pearson ER, Dennis JM. Treatment effect heterogeneity following type 2 diabetes treatment with GLP1-receptor agonists and SGLT2-inhibitors: a systematic review. COMMUNICATIONS MEDICINE 2023; 3:131. [PMID: 37794166 PMCID: PMC10551026 DOI: 10.1038/s43856-023-00359-w] [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: 05/10/2023] [Accepted: 09/15/2023] [Indexed: 10/06/2023] Open
Abstract
BACKGROUND A precision medicine approach in type 2 diabetes requires the identification of clinical and biological features that are reproducibly associated with differences in clinical outcomes with specific anti-hyperglycaemic therapies. Robust evidence of such treatment effect heterogeneity could support more individualized clinical decisions on optimal type 2 diabetes therapy. METHODS We performed a pre-registered systematic review of meta-analysis studies, randomized control trials, and observational studies evaluating clinical and biological features associated with heterogenous treatment effects for SGLT2-inhibitor and GLP1-receptor agonist therapies, considering glycaemic, cardiovascular, and renal outcomes. After screening 5,686 studies, we included 101 studies of SGLT2-inhibitors and 75 studies of GLP1-receptor agonists in the final systematic review. RESULTS Here we show that the majority of included papers have methodological limitations precluding robust assessment of treatment effect heterogeneity. For SGLT2-inhibitors, multiple observational studies suggest lower renal function as a predictor of lesser glycaemic response, while markers of reduced insulin secretion predict lesser glycaemic response with GLP1-receptor agonists. For both therapies, multiple post-hoc analyses of randomized control trials (including trial meta-analysis) identify minimal clinically relevant treatment effect heterogeneity for cardiovascular and renal outcomes. CONCLUSIONS Current evidence on treatment effect heterogeneity for SGLT2-inhibitor and GLP1-receptor agonist therapies is limited, likely reflecting the methodological limitations of published studies. Robust and appropriately powered studies are required to understand type 2 diabetes treatment effect heterogeneity and evaluate the potential for precision medicine to inform future clinical care.
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Affiliation(s)
- Katherine G Young
- Exeter Centre of Excellence in Diabetes (EXCEED), University of Exeter Medical School, RILD Building, Royal Devon & Exeter Hospital, Exeter, UK
| | - Eram Haider McInnes
- Division of Population Health & Genomics, School of Medicine, University of Dundee, Dundee, UK
| | - Robert J Massey
- Division of Population Health & Genomics, School of Medicine, University of Dundee, Dundee, UK
| | - Anna R Kahkoska
- Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Scott J Pilla
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Sridharan Raghavan
- Section of Academic Primary Care, US Department of Veterans Affairs Eastern Colorado Health Care System, Aurora, CO, USA
| | - Maggie A Stanislawski
- Department of Biomedical Informatics, School of Medicine, University of Colorado, Aurora, USA
| | - Deirdre K Tobias
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Andrew P McGovern
- Exeter Centre of Excellence in Diabetes (EXCEED), University of Exeter Medical School, RILD Building, Royal Devon & Exeter Hospital, Exeter, UK
| | - Adem Y Dawed
- Division of Population Health & Genomics, School of Medicine, University of Dundee, Dundee, UK
| | - Angus G Jones
- Exeter Centre of Excellence in Diabetes (EXCEED), University of Exeter Medical School, RILD Building, Royal Devon & Exeter Hospital, Exeter, UK
| | - Ewan R Pearson
- Division of Population Health & Genomics, School of Medicine, University of Dundee, Dundee, UK.
| | - John M Dennis
- Exeter Centre of Excellence in Diabetes (EXCEED), University of Exeter Medical School, RILD Building, Royal Devon & Exeter Hospital, Exeter, UK.
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4
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Ahmad A, Lim LL, Morieri ML, Tam CHT, Cheng F, Chikowore T, Dudenhöffer-Pfeifer M, Fitipaldi H, Huang C, Kanbour S, Sarkar S, Koivula RW, Motala AA, Tye SC, Yu G, Zhang Y, Provenzano M, Sherifali D, de Souza R, Tobias DK, Gomez MF, Ma RCW, Mathioudakis NN. Precision Prognostics for Cardiovascular Disease in Type 2 Diabetes: A Systematic Review and Meta-analysis. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.04.26.23289177. [PMID: 37162891 PMCID: PMC10168509 DOI: 10.1101/2023.04.26.23289177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
Abstract
Background Precision medicine has the potential to improve cardiovascular disease (CVD) risk prediction in individuals with type 2 diabetes (T2D). Methods We conducted a systematic review and meta-analysis of longitudinal studies to identify potentially novel prognostic factors that may improve CVD risk prediction in T2D. Out of 9380 studies identified, 416 studies met inclusion criteria. Outcomes were reported for 321 biomarker studies, 48 genetic marker studies, and 47 risk score/model studies. Results Out of all evaluated biomarkers, only 13 showed improvement in prediction performance. Results of pooled meta-analyses, non-pooled analyses, and assessments of improvement in prediction performance and risk of bias, yielded the highest predictive utility for N-terminal pro b-type natriuretic peptide (NT-proBNP) (high-evidence), troponin-T (TnT) (moderate-evidence), triglyceride-glucose (TyG) index (moderate-evidence), Genetic Risk Score for Coronary Heart Disease (GRS-CHD) (moderate-evidence); moderate predictive utility for coronary computed tomography angiography (low-evidence), single-photon emission computed tomography (low-evidence), pulse wave velocity (moderate-evidence); and low predictive utility for C-reactive protein (moderate-evidence), coronary artery calcium score (low-evidence), galectin-3 (low-evidence), troponin-I (low-evidence), carotid plaque (low-evidence), and growth differentiation factor-15 (low-evidence). Risk scores showed modest discrimination, with lower performance in populations different from the original development cohort. Conclusions Despite high interest in this topic, very few studies conducted rigorous analyses to demonstrate incremental predictive utility beyond established CVD risk factors for T2D. The most promising markers identified were NT-proBNP, TnT, TyG and GRS-CHD, with the highest strength of evidence for NT-proBNP. Further research is needed to determine their clinical utility in risk stratification and management of CVD in T2D.
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5
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Young KG, McInnes EH, Massey RJ, Kahkohska AR, Pilla SJ, Raghaven S, Stanislawski MA, Tobias DK, McGovern AP, Dawed AY, Jones AG, Pearson ER, Dennis JM. Precision medicine in type 2 diabetes: A systematic review of treatment effect heterogeneity for GLP1-receptor agonists and SGLT2-inhibitors. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.04.21.23288868. [PMID: 37131814 PMCID: PMC10153311 DOI: 10.1101/2023.04.21.23288868] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
Background A precision medicine approach in type 2 diabetes requires identification of clinical and biological features that are reproducibly associated with differences in clinical outcomes with specific anti-hyperglycaemic therapies. Robust evidence of such treatment effect heterogeneity could support more individualized clinical decisions on optimal type 2 diabetes therapy. Methods We performed a pre-registered systematic review of meta-analysis studies, randomized control trials, and observational studies evaluating clinical and biological features associated with heterogenous treatment effects for SGLT2-inhibitor and GLP1-receptor agonist therapies, considering glycaemic, cardiovascular, and renal outcomes. Results After screening 5,686 studies, we included 101 studies of SGLT2-inhibitors and 75 studies of GLP1-receptor agonists in the final systematic review. The majority of papers had methodological limitations precluding robust assessment of treatment effect heterogeneity. For glycaemic outcomes, most cohorts were observational, with multiple analyses identifying lower renal function as a predictor of lesser glycaemic response with SGLT2-inhibitors and markers of reduced insulin secretion as predictors of lesser response with GLP1-receptor agonists. For cardiovascular and renal outcomes, the majority of included studies were post-hoc analyses of randomized control trials (including meta-analysis studies) which identified limited clinically relevant treatment effect heterogeneity. Conclusions Current evidence on treatment effect heterogeneity for SGLT2-inhibitor and GLP1-receptor agonist therapies is limited, likely reflecting the methodological limitations of published studies. Robust and appropriately powered studies are required to understand type 2 diabetes treatment effect heterogeneity and evaluate the potential for precision medicine to inform future clinical care. Plain language summary This review identifies research that helps understand which clinical and biological factors that are associated with different outcomes for specific type 2 diabetes treatments. This information could help clinical providers and patients make better informed personalized decisions about type 2 diabetes treatments. We focused on two common type 2 diabetes treatments: SGLT2-inhibitors and GLP1-receptor agonists, and three outcomes: blood glucose control, heart disease, and kidney disease. We identified some potential factors that are likely to lessen blood glucose control including lower kidney function for SGLT2-inhibitors and lower insulin secretion for GLP1-receptor agonists. We did not identify clear factors that alter heart and renal disease outcomes for either treatment. Most of the studies had limitations, meaning more research is needed to fully understand the factors that influence treatment outcomes in type 2 diabetes.
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Affiliation(s)
- Katherine G Young
- Exeter Centre of Excellence in Diabetes (EXCEED), University of Exeter Medical School, RILD Building, Royal Devon & Exeter Hospital, Barrack Road, Exeter, UK
| | - Eram Haider McInnes
- Division of Population Health & Genomics, School of Medicine, University of Dundee, Dundee, UK
| | - Robert J Massey
- Division of Population Health & Genomics, School of Medicine, University of Dundee, Dundee, UK
| | - Anna R Kahkohska
- Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Scott J Pilla
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Sridharan Raghaven
- Section of Academic Primary Care, US Department of Veterans Affairs Eastern Colorado Health Care System, Aurora, CO, USA
| | - Maggie A Stanislawski
- Department of Biomedical Informatics, School of Medicine, University of Colorado, Aurora, USA, 80045
| | - Deirdre K Tobias
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Andrew P McGovern
- Exeter Centre of Excellence in Diabetes (EXCEED), University of Exeter Medical School, RILD Building, Royal Devon & Exeter Hospital, Barrack Road, Exeter, UK
| | - Adem Y Dawed
- Division of Population Health & Genomics, School of Medicine, University of Dundee, Dundee, UK
| | - Angus G Jones
- Exeter Centre of Excellence in Diabetes (EXCEED), University of Exeter Medical School, RILD Building, Royal Devon & Exeter Hospital, Barrack Road, Exeter, UK
| | - Ewan R Pearson
- Division of Population Health & Genomics, School of Medicine, University of Dundee, Dundee, UK
| | - John M Dennis
- Exeter Centre of Excellence in Diabetes (EXCEED), University of Exeter Medical School, RILD Building, Royal Devon & Exeter Hospital, Barrack Road, Exeter, UK
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Samsky MD, Mentz RJ, Stebbins A, Lokhnygina Y, Aday AW, Pagidipati NJ, Jones WS, Katona BG, Patel MR, Holman RR, Hernandez AF, Gutierrez JA. Polyvascular disease and increased risk of cardiovascular events in patients with type 2 diabetes: Insights from the EXSCEL trial. Atherosclerosis 2021; 338:1-6. [PMID: 34741929 DOI: 10.1016/j.atherosclerosis.2021.10.011] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Revised: 10/12/2021] [Accepted: 10/29/2021] [Indexed: 11/26/2022]
Abstract
BACKGROUND AND AIMS Polyvascular disease is an independent predictor of major adverse cardiovascular events (MACE). The relationship between the number of diseased arterial beds and MACE is unknown. How MACE risk changes in individuals with type 2 diabetes (T2D) is also understudied. Furthermore, it is unknown whether heart failure (HF) status and hemoglobin A1c (HbA1c) levels influence outcomes in polyvascular disease. This analysis from the Exenatide Study of Cardiovascular Event Lowering trial (EXSCEL) aimed to examine the risk associated with increasing number of diseased arterial beds on MACE and all-cause mortality (ACM). METHODS Cox models were used to test associations between the number of diseased arterial beds and MACE and ACM. Prespecified interaction testing between number of diseased arterial beds with baseline HF, HbA1c (≤8% vs. >8%), and treatment assignment was performed. RESULTS Overall, 14,751 participants were included; 26.5% were without atherosclerosis, 58.9% had 1-bed, 12.3% had 2-bed, and 2.3% had 3-bed disease. An increasing burden of atherosclerotic disease was associated with increasing risk of MACE (adjusted HR [aHR] 1.71 [95% CI 1.46-2.02]; 2.61 [2.17-3.15]; 3.46 [2.69-4.45] for 1, 2, and 3 beds, respectively, p < 0.001 for all) and ACM (1.94 [1.56-2.42]; 3.03 [2.33-3.95]; 3.66 [2.59-5.18] for 1, 2, and 3 beds, respectively, p < 0.001 for all). Prespecified interaction testing did not reveal any significant associations. CONCLUSIONS In patients with T2D, compared to those without atherosclerotic vascular disease, risk of MACE and ACM increases incrementally with each additional diseased arterial bed.
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Affiliation(s)
- Marc D Samsky
- Department of Medicine, Duke University School of Medicine, Durham, NC, USA; Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC, USA.
| | - Robert J Mentz
- Department of Medicine, Duke University School of Medicine, Durham, NC, USA; Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC, USA
| | - Amanda Stebbins
- Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC, USA
| | - Yuliya Lokhnygina
- Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC, USA
| | - Aaron W Aday
- Division of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Neha J Pagidipati
- Department of Medicine, Duke University School of Medicine, Durham, NC, USA; Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC, USA
| | - W Schuyler Jones
- Department of Medicine, Duke University School of Medicine, Durham, NC, USA; Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC, USA
| | | | - Manesh R Patel
- Department of Medicine, Duke University School of Medicine, Durham, NC, USA; Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC, USA
| | - Rury R Holman
- Diabetes Trials Unit, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Adrian F Hernandez
- Department of Medicine, Duke University School of Medicine, Durham, NC, USA; Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC, USA
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Kanie T, Mizuno A, Takaoka Y, Suzuki T, Yoneoka D, Nishikawa Y, Tam WWS, Morze J, Rynkiewicz A, Xin Y, Wu O, Providencia R, Kwong JS. Dipeptidyl peptidase-4 inhibitors, glucagon-like peptide 1 receptor agonists and sodium-glucose co-transporter-2 inhibitors for people with cardiovascular disease: a network meta-analysis. Cochrane Database Syst Rev 2021; 10:CD013650. [PMID: 34693515 PMCID: PMC8812344 DOI: 10.1002/14651858.cd013650.pub2] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
BACKGROUND Cardiovascular disease (CVD) is a leading cause of death globally. Recently, dipeptidyl peptidase-4 inhibitors (DPP4i), glucagon-like peptide-1 receptor agonists (GLP-1RA) and sodium-glucose co-transporter-2 inhibitors (SGLT2i) were approved for treating people with type 2 diabetes mellitus. Although metformin remains the first-line pharmacotherapy for people with type 2 diabetes mellitus, a body of evidence has recently emerged indicating that DPP4i, GLP-1RA and SGLT2i may exert positive effects on patients with known CVD. OBJECTIVES To systematically review the available evidence on the benefits and harms of DPP4i, GLP-1RA, and SGLT2i in people with established CVD, using network meta-analysis. SEARCH METHODS We searched CENTRAL, MEDLINE, Embase, and the Conference Proceedings Citation Index on 16 July 2020. We also searched clinical trials registers on 22 August 2020. We did not restrict by language or publication status. SELECTION CRITERIA We searched for randomised controlled trials (RCTs) investigating DPP4i, GLP-1RA, or SGLT2i that included participants with established CVD. Outcome measures of interest were CVD mortality, fatal and non-fatal myocardial infarction, fatal and non-fatal stroke, all-cause mortality, hospitalisation for heart failure (HF), and safety outcomes. DATA COLLECTION AND ANALYSIS Three review authors independently screened the results of searches to identify eligible studies and extracted study data. We used the GRADE approach to assess the certainty of the evidence. We conducted standard pairwise meta-analyses and network meta-analyses by pooling studies that we assessed to be of substantial homogeneity; subgroup and sensitivity analyses were also pursued to explore how study characteristics and potential effect modifiers could affect the robustness of our review findings. We analysed study data using the odds ratios (ORs) and log odds ratios (LORs) with their respective 95% confidence intervals (CIs) and credible intervals (Crls), where appropriate. We also performed narrative synthesis for included studies that were of substantial heterogeneity and that did not report quantitative data in a usable format, in order to discuss their individual findings and relevance to our review scope. MAIN RESULTS We included 31 studies (287 records), of which we pooled data from 20 studies (129,465 participants) for our meta-analysis. The majority of the included studies were at low risk of bias, using Cochrane's tool for assessing risk of bias. Among the 20 pooled studies, six investigated DPP4i, seven studied GLP-1RA, and the remaining seven trials evaluated SGLT2i. All outcome data described below were reported at the longest follow-up duration. 1. DPP4i versus placebo Our review suggests that DPP4i do not reduce any risk of efficacy outcomes: CVD mortality (OR 1.00, 95% CI 0.91 to 1.09; high-certainty evidence), myocardial infarction (OR 0.97, 95% CI 0.88 to 1.08; high-certainty evidence), stroke (OR 1.00, 95% CI 0.87 to 1.14; high-certainty evidence), and all-cause mortality (OR 1.03, 95% CI 0.96 to 1.11; high-certainty evidence). DPP4i probably do not reduce hospitalisation for HF (OR 0.99, 95% CI 0.80 to 1.23; moderate-certainty evidence). DPP4i may not increase the likelihood of worsening renal function (OR 1.08, 95% CI 0.88 to 1.33; low-certainty evidence) and probably do not increase the risk of bone fracture (OR 1.00, 95% CI 0.83 to 1.19; moderate-certainty evidence) or hypoglycaemia (OR 1.11, 95% CI 0.95 to 1.29; moderate-certainty evidence). They are likely to increase the risk of pancreatitis (OR 1.63, 95% CI 1.12 to 2.37; moderate-certainty evidence). 2. GLP-1RA versus placebo Our findings indicate that GLP-1RA reduce the risk of CV mortality (OR 0.87, 95% CI 0.79 to 0.95; high-certainty evidence), all-cause mortality (OR 0.88, 95% CI 0.82 to 0.95; high-certainty evidence), and stroke (OR 0.87, 95% CI 0.77 to 0.98; high-certainty evidence). GLP-1RA probably do not reduce the risk of myocardial infarction (OR 0.89, 95% CI 0.78 to 1.01; moderate-certainty evidence), and hospitalisation for HF (OR 0.95, 95% CI 0.85 to 1.06; high-certainty evidence). GLP-1RA may reduce the risk of worsening renal function (OR 0.61, 95% CI 0.44 to 0.84; low-certainty evidence), but may have no impact on pancreatitis (OR 0.96, 95% CI 0.68 to 1.35; low-certainty evidence). We are uncertain about the effect of GLP-1RA on hypoglycaemia and bone fractures. 3. SGLT2i versus placebo This review shows that SGLT2i probably reduce the risk of CV mortality (OR 0.82, 95% CI 0.70 to 0.95; moderate-certainty evidence), all-cause mortality (OR 0.84, 95% CI 0.74 to 0.96; moderate-certainty evidence), and reduce the risk of HF hospitalisation (OR 0.65, 95% CI 0.59 to 0.71; high-certainty evidence); they do not reduce the risk of myocardial infarction (OR 0.97, 95% CI 0.84 to 1.12; high-certainty evidence) and probably do not reduce the risk of stroke (OR 1.12, 95% CI 0.92 to 1.36; moderate-certainty evidence). In terms of treatment safety, SGLT2i probably reduce the incidence of worsening renal function (OR 0.59, 95% CI 0.43 to 0.82; moderate-certainty evidence), and probably have no effect on hypoglycaemia (OR 0.90, 95% CI 0.75 to 1.07; moderate-certainty evidence) or bone fracture (OR 1.02, 95% CI 0.88 to 1.18; high-certainty evidence), and may have no impact on pancreatitis (OR 0.85, 95% CI 0.39 to 1.86; low-certainty evidence). 4. Network meta-analysis Because we failed to identify direct comparisons between each class of the agents, findings from our network meta-analysis provided limited novel insights. Almost all findings from our network meta-analysis agree with those from the standard meta-analysis. GLP-1RA may not reduce the risk of stroke compared with placebo (OR 0.87, 95% CrI 0.75 to 1.0; moderate-certainty evidence), which showed similar odds estimates and wider 95% Crl compared with standard pairwise meta-analysis. Indirect estimates also supported comparison across all three classes. SGLT2i was ranked the best for CVD and all-cause mortality. AUTHORS' CONCLUSIONS Findings from both standard and network meta-analyses of moderate- to high-certainty evidence suggest that GLP-1RA and SGLT2i are likely to reduce the risk of CVD mortality and all-cause mortality in people with established CVD; high-certainty evidence demonstrates that treatment with SGLT2i reduce the risk of hospitalisation for HF, while moderate-certainty evidence likely supports the use of GLP-1RA to reduce fatal and non-fatal stroke. Future studies conducted in the non-diabetic CVD population will reveal the mechanisms behind how these agents improve clinical outcomes irrespective of their glucose-lowering effects.
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Affiliation(s)
- Takayoshi Kanie
- Department of Cardiology, St. Luke's International Hospital, Tokyo, Japan
| | - Atsushi Mizuno
- Department of Cardiology, St. Luke's International Hospital, Tokyo, Japan
- Penn Medicine Nudge Unit, University of Pennsylvania Philadelphia, Philadelphia, PA, USA
- Leonard Davis Institute for Health Economics, University of Pennsylvania, Philadelphia, PA, USA
- Division of Cardiovascular Medicine, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| | - Yoshimitsu Takaoka
- Department of Cardiology, St. Luke's International Hospital, Tokyo, Japan
| | - Takahiro Suzuki
- Department of Cardiology, St. Luke's International Hospital, Tokyo, Japan
| | - Daisuke Yoneoka
- Division of Biostatistics and Bioinformatics, Graduate School of Public Health, St. Luke's International University, Tokyo, Japan
| | - Yuri Nishikawa
- Department of Gerontological Nursing and Healthcare Systems Management, Graduate School of Health Care Sciences, Tokyo Medical and Dental University, Tokyo, Japan
- Department of Gerontological Nursing, Kyorin University, Tokyo, Japan
| | - Wilson Wai San Tam
- Alice Lee Center for Nursing Studies, NUS Yong Loo Lin School of Medicine, Singapore, Singapore
| | - Jakub Morze
- Department of Human Nutrition, University of Warmia and Mazury, Olsztyn, Poland
| | - Andrzej Rynkiewicz
- Department of Cardiology and Cardiosurgery, School of Medicine, University of Warmia and Mazury, Olsztyn, Poland
| | - Yiqiao Xin
- Health Economics and Health Technology Assessment (HEHTA), Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Olivia Wu
- Health Economics and Health Technology Assessment (HEHTA), Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Rui Providencia
- Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, London, UK
| | - Joey Sw Kwong
- Global Health Nursing, Graduate School of Nursing Science, St. Luke's International University, Tokyo, Japan
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8
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Goto S, Goto S. Safety of antithrombotic therapy in East Asian patients. Intern Emerg Med 2021; 16:1443-1450. [PMID: 33683537 DOI: 10.1007/s11739-021-02672-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Accepted: 02/12/2021] [Indexed: 12/16/2022]
Abstract
Antithrombotic agents are widely used on the globe for prevention of thrombotic events such as atherothrombotic events and thromboembolic stroke in atrial fibrillation or for prevention and treatment of venous thromboembolism. However, the net clinical benefit of antithrombotic intervention may differ substantially in various sub-population of patients. Here, the authors attempt to address the risk of serious bleeding in East Asian as compared to the other regions of the world. The community-based epidemiological data suggest numerically higher risk of hemorrhage stroke in East Asian as compared to the globe. Importantly, the life-time risk of ischemic stroke in East Asia is higher than that of the globe. Regarding the serious bleeding risk in East Asians with the use of antithrombotic agents, various clinical trials and international registries provided conflicting information. It is hard to draw generalized conclusion, but there are some specific sub-population in East Asian with higher risk of specific serious bleeding events with the use of specific antithrombotic agents such as the risk of intra-cranial bleeding (ICH) with Vitamin K antagonists. Specific characteristics in East Asian such as higher prevalence of lacunar stroke may contribute higher risk of ICH in East Asian, but the detailed mechanism is still to be elucidated. In conclusion, further investigations are necessary to clarify the specific conditions where the risk of serious bleeding events in East Asian patients differ substantially compared to the global. In addition, further understanding of the mechanisms causing the different bleeding response in specific conditions in East Asian is awaited.
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Affiliation(s)
- Shinya Goto
- Department of Medicine (Cardiology), Tokai University School of Medicine, 143 Shimokasuya, Isehara, 259-1193, Japan.
| | - Shinichi Goto
- Department of Medicine (Cardiology), Tokai University School of Medicine, 143 Shimokasuya, Isehara, 259-1193, Japan
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9
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Savarese G, Butler J, Lund LH, Bhatt DL, Anker SD. CARDIOVASCULAR EFFECTS OF NON-INSULIN GLUCOSE-LOWERING AGENTS: A COMPREHENSIVE REVIEW OF TRIAL EVIDENCE AND POTENTIAL CARDIOPROTECTIVE MECHANISMS. Cardiovasc Res 2021; 118:2231-2252. [PMID: 34390570 DOI: 10.1093/cvr/cvab271] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/13/2021] [Accepted: 08/12/2021] [Indexed: 11/12/2022] Open
Abstract
Type 2 diabetes mellitus (T2DM) is highly prevalent and associated with a 2-fold increased mortality, mostly explained by cardiovascular diseases. Trial evidence on older glucose-lowering agents such as metformin and sulfonylureas is limited in terms of cardiovascular efficacy. Since 2008, after rosiglitazone was observed to increase the risk of myocardial infarction and heart failure (HF), cardiovascular outcome trials (CVOT) have been required by regulators for licensing new glucose-lowering agents. In the following CVOTs, dipeptidyl peptidase 4 inhibitors (DPP4i) have been shown to be safe but not to improve morbidity/mortality, except for saxagliptin which increased the risk of HF. Several glucagon-like peptide-1 receptor agonists (GLP1-Ra) and sodium-glucose cotransporter-2 inhibitors (SGLT2i) have been demonstrated to reduce the risk of cardiovascular morbidity and mortality. SGLT2i have shown a class effect for the reduction in risk of HF events in patients with T2DM, leading to trials testing their efficacy/safety in HF regardless of T2DM. In the DAPA-HF and the EMPEROR-Reduced trials dapagliflozin and empagliflozin, respectively, improved cardiovascular mortality/morbidity in patients with HF and reduced ejection fraction (HFrEF), with and without T2DM. Therefore, these drugs are now key part of HFrEF pharmacotherapy. In the SOLOIST-WHF, sotagliflozin reduced cardiovascular mortality/morbidity in patients with T2DM and a recent acute episode of HF regardless of EF. The DELIVER and the EMPEROR-Preserved are testing dapagliflozin and empagliflozin, respectively, in patients with HF with mildly reduced and preserved EF. A strong renal protective role of SGLT2i has also emerged in trials enrolling patients with and without T2DM.
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Affiliation(s)
- Gianluigi Savarese
- Division of Cardiology, Department of Medicine, Karolinska Institutet, Stockholm, Sweden. Heart and Vascular Theme, Karolinska University Hospital, Stockholm, Sweden
| | - Javed Butler
- University of Mississippi School of Medicine, Jackson, MI, USA
| | - Lars H Lund
- Division of Cardiology, Department of Medicine, Karolinska Institutet, Stockholm, Sweden. Heart and Vascular Theme, Karolinska University Hospital, Stockholm, Sweden
| | - Deepak L Bhatt
- Brigham and Women's Hospital Heart and Vascular Center and Harvard Medical School, Boston, MA, USA
| | - Stefan D Anker
- Department of Cardiology (CVK), Berlin Institute of Health Center for Regenerative Therapies (BCRT), and German Centre for Cardiovascular Research (DZHK) Partner Site Berlin, Charité Universitätsmedizin Berlin, Germany
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10
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Riddle MC, Gerstein HC, Xavier D, Cushman WC, Leiter LA, Raubenheimer PJ, Atisso CM, Raha S, Varnado OJ, Konig M, Lakshmanan M, Franek E. Efficacy and Safety of Dulaglutide in Older Patients: A post hoc Analysis of the REWIND trial. J Clin Endocrinol Metab 2021; 106:1345-1351. [PMID: 33537745 PMCID: PMC8063250 DOI: 10.1210/clinem/dgab065] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2020] [Indexed: 01/14/2023]
Abstract
CONTEXT Dulaglutide reduced major adverse cardiovascular events (MACE) in the Researching Cardiovascular Events with a Weekly INcretin in Diabetes (REWIND) trial. Its efficacy and safety in older vs younger patients have not been explicitly analyzed. OBJECTIVE This work aimed to assess efficacy and safety of dulaglutide vs placebo in REWIND by age subgroups (≥ 65 and < 65 years). METHODS A post hoc subgroup analysis of REWIND was conducted at 371 sites in 24 countries. Participants included type 2 diabetes patients aged 50 years or older with established cardiovascular (CV) disease or multiple CV risk factors, and a wide range of glycemic control. Patients were randomly assigned (1:1) to dulaglutide 1.5 mg or placebo as an add-on to country-specific standard of care. Main outcomes measures included MACE (first occurrence of the composite of nonfatal myocardial infarction, nonfatal stroke, or death from CV or unknown causes). RESULTS There were 5256 randomly assigned patients who were 65 years or older (mean = 71.0), and 4645 were younger than 65 years (mean = 60.7). Baseline characteristics were similar in randomized treatment groups. Dulaglutide treatment showed a similar reduction in the incidence (11% vs 13%) of MACE in older vs younger patients. The rate of permanent study drug discontinuation, incidence of all-cause mortality, hospitalizations for heart failure, severe hypoglycemia, severe renal or urinary events, and serious gastrointestinal events were similar between randomized treatment groups within each age subgroup. The incidence rate of serious cardiac conduction disorders was numerically higher in the dulaglutide group compared to placebo within each age subgroup but the difference was not statistically significant. CONCLUSION Dulaglutide had similar efficacy and safety in REWIND in patients65 years and older and those younger than 65 years.
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Affiliation(s)
- Matthew C Riddle
- Department of Medicine, Oregon Health & Science University, Portland, Oregon, USA
| | - Hertzel C Gerstein
- Population Health Research Institute, McMaster University and Hamilton Health Sciences, Hamilton, Ontario, Canada
| | - Denis Xavier
- St. John’s Medical College, Bangalore, Karnataka, India
| | - William C Cushman
- Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis, Tennessee, USA
| | - Lawrence A Leiter
- Li Ka Shing Knowledge Institute, St. Michael’s Hospital, University of Toronto, Toronto, Ontario, Canada
| | | | | | - Sohini Raha
- Eli Lilly and Company, Indianapolis, Indiana, USA
| | | | - Manige Konig
- Eli Lilly and Company, Indianapolis, Indiana, USA
| | | | - Edward Franek
- Mossakowski Medical Research Centre, Polish Academy of Sciences and Central Clinical Hospital MSWiA, Warsaw, Poland
- Correspondence: Edward Franek, MD, Mossakowski Medical Research Centre, Polish Academy of Sciences, ul. Pawinskiego 5, 02-106 Warsaw, Poland.
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11
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Standl E, Stevens SR, Lokhnygina Y, Bethel MA, Buse JB, Gustavson SM, Maggioni AP, Mentz RJ, Hernandez AF, Holman RR. Confirming the Bidirectional Nature of the Association Between Severe Hypoglycemic and Cardiovascular Events in Type 2 Diabetes: Insights From EXSCEL. Diabetes Care 2020; 43:643-652. [PMID: 31882409 DOI: 10.2337/dc19-1079] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/29/2019] [Accepted: 10/21/2019] [Indexed: 02/03/2023]
Abstract
OBJECTIVE We sought to confirm a bidirectional association between severe hypoglycemic events (SHEs) and cardiovascular (CV) event risk and to characterize individuals at dual risk. RESEARCH DESIGN AND METHODS In a post hoc analysis of 14,752 Exenatide Study of Cardiovascular Event Lowering (EXSCEL) participants, we examined time-dependent associations between SHEs and subsequent major adverse cardiac events (CV death, nonfatal myocardial infarction [MI] or stroke), fatal/nonfatal MI, fatal/nonfatal stroke, hospitalization for acute coronary syndrome (hACS), hospitalization for heart failure (hHF), and all-cause mortality (ACM), as well as time-dependent associations between nonfatal CV events and subsequent SHEs. RESULTS SHEs were uncommon and not associated with once-weekly exenatide therapy (hazard ratio 1.13 [95% CI 0.94-1.36], P = 0.179). In fully adjusted models, SHEs were associated with an increased risk of subsequent ACM (1.83 [1.38-2.42], P < 0.001), CV death (1.60 [1.11-2.30], P = 0.012), and hHF (2.09 [1.37-3.17], P = 0.001), while nonfatal MI (2.02 [1.35-3.01], P = 0.001), nonfatal stroke (2.30 [1.25-4.23], P = 0.007), hACS (2.00 [1.39-2.90], P < 0.001), and hHF (3.24 [1.98-5.30], P < 0.001) were all associated with a subsequent increased risk of SHEs. The elevated bidirectional time-dependent hazards linking SHEs and a composite of all CV events were approximately constant over time, with those individuals at dual risk showing higher comorbidity scores compared with those without. CONCLUSIONS These findings, showing greater risk of SHEs after CV events as well as greater risk of CV events after SHEs, validate a bidirectional relationship between CV events and SHEs in patients with high comorbidity scores.
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Affiliation(s)
- Eberhard Standl
- Munich Diabetes Research Group e.V. at Helmholtz Centre, Neuherberg, Germany
| | - Susanna R Stevens
- Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC
| | - Yuliya Lokhnygina
- Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC
| | - M Angelyn Bethel
- Diabetes Trials Unit, Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, U.K
| | - John B Buse
- University of North Carolina School of Medicine, Chapel Hill, NC
| | | | | | - Robert J Mentz
- Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC
| | - Adrian F Hernandez
- Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC
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12
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Glycaemic Control and Vascular Complications in Diabetes Mellitus Type 2. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2020; 1307:129-152. [PMID: 32266607 DOI: 10.1007/5584_2020_514] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Diabetes mellitus is constantly increasing worldwide. Vascular complications are the most common in the setting of long-standing disease, claiming the greatest burden in terms of morbidity and mortality. Glucotoxicity is involved in vascular damage through different metabolic pathways, such as production of advanced glycation end-products, activation of protein kinase C, polyol pathway activation and production of reactive oxygen species. Vascular complications can be classified according to the calibre of the vessels involved as microvascular (such as diabetic retinopathy, nephropathy and neuropathy) or macrovascular (such as cerebrovascular, coronary and peripheral artery disease). Previous studies showed that the severity of vascular complications depends on duration and degree of hyperglycaemia and, as consequence, early trials were designed to prove that intensive glucose control could reduce the number of vascular events. Unfortunately, results were not as satisfactory as expected. Trials showed good results in reducing incidence of microvascular complications but coronary heart diseases, strokes and peripheral artery diseases were not affected despite optimal glycemia control. In 2008, after the demonstration that rosiglitazone increases cardiovascular risk, FDA demanded stricter rules for marketing glucose-lowering drugs, marking the beginning of cardiovascular outcome trials, whose function is to demonstrate the cardiovascular safety of anti-diabetic drugs. The introduction of new molecules led to a change in diabetes treatment, as some new glucose-lowering drugs showed not only to be safe but also to ensure cardiovascular benefit to diabetic patients. Empaglifozin, a sodium-glucose cotransporter 2 inhibitor, was the first molecule to show impressing results, followed on by glucagon-like peptide 1 receptor agonists, such as liraglutide. A combination of anti-atherogenic effects and hemodynamic improvements are likely explanations of the observed reduction in cardiovascular events and mortality. These evidences have opened a completely new era in the field of glucose-lowering drugs and of diabetes treatment in particular with respect to vascular complications.
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13
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Badjatiya A, Merrill P, Buse JB, Goodman SG, Katona B, Iqbal N, Pagidipati NJ, Sattar N, Holman RR, Hernandez AF, Mentz RJ, Patel MR, Jones WS. Clinical Outcomes in Patients With Type 2 Diabetes Mellitus and Peripheral Artery Disease. Circ Cardiovasc Interv 2019; 12:e008018. [DOI: 10.1161/circinterventions.119.008018] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background:
Recent trials have identified anti–diabetes mellitus agents that lower major adverse cardiovascular event (MACE) rates, although some increase rates of lower-extremity amputation (LEA). Patients with peripheral artery disease (PAD) have greater incidence of diabetes mellitus and risk for LEA, prompting this investigation of clinical outcomes in patients with diabetes mellitus and PAD in the EXSCEL trial (Exenatide Study of Cardiovascular Event Lowering).
Methods:
EXSCEL evaluated the effects of once-weekly exenatide (a GLP-1 [glucagon-like peptide-1] receptor agonist) versus placebo on the rates of the primary composite MACE end point (cardiovascular death, myocardial infarction, or stroke) among patients with type 2 diabetes mellitus. In this post hoc analysis, we assessed the association of baseline PAD with rates of MACE, LEA, and the effects of exenatide versus placebo in patients with and without PAD.
Results:
EXSCEL included 2800 patients with PAD (19% of the trial population). These individuals had higher unadjusted and adjusted rates of MACE compared with patients without PAD (13.6% versus 11.4%, respectively) as well as a higher adjusted hazard ratio (adjusted hazard ratio, 1.13 [95% CI, 1.00–1.27];
P
=0.047). Patients with PAD had higher all-cause mortality (adjusted hazard ratio 1.38 [95% CI, 1.20–1.60];
P
<0.001) and more frequent LEA (adjusted hazard ratio 5.48 [95% CI, 4.16–7.22];
P
<0.001). Patients treated with exenatide or placebo had similar rates of MACE and LEA, regardless of PAD status.
Conclusions:
EXSCEL participants with PAD had higher rates of all-cause mortality and LEA compared with those without PAD. There were no differences in MACE or LEA rates with exenatide versus placebo.
Clinical Trial Registration URL:
https://www.clinicaltrials.gov
. Unique identifier: NCT01144338.
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Affiliation(s)
- Anish Badjatiya
- Department of Internal Medicine (A.B.), Duke University School of Medicine, Durham, NC
| | - Peter Merrill
- Duke Clinical Research Institute (P.M., N.J.P., A.F.H., R.J.M., M.R.P. W.S.J.), Duke University School of Medicine, Durham, NC
| | - John B. Buse
- Division of Endocrinology, University of North Carolina School of Medicine, Chapel Hill (J.B.B.)
| | - Shaun G. Goodman
- Canadian VIGOUR Centre, University of Alberta, Edmonton, Canada (S.G.G.)
- St. Michael’s Hospital, Department of Medicine, University of Toronto, ON, Canada (S.G.G.)
| | - Brian Katona
- AstraZeneca Research and Development, Gaithersburg, MD (B.K.)
| | | | - Neha J. Pagidipati
- Duke Clinical Research Institute (P.M., N.J.P., A.F.H., R.J.M., M.R.P. W.S.J.), Duke University School of Medicine, Durham, NC
- Division of Cardiology, Duke University School of Medicine, Durham, NC (N.J.P., A.F.H., R.J.M., M.R.P. W.S.J.)
| | - Naveed Sattar
- Institute of Cardiovascular and Medical Sciences, University of Glasgow (N.S.)
| | - Rury R. Holman
- Diabetes Trials Unit, Oxford Centre for Diabetes, Endocrinology, and Metabolism, University of Oxford, United Kingdom (R.R.H.)
| | - Adrian F. Hernandez
- Duke Clinical Research Institute (P.M., N.J.P., A.F.H., R.J.M., M.R.P. W.S.J.), Duke University School of Medicine, Durham, NC
- Division of Cardiology, Duke University School of Medicine, Durham, NC (N.J.P., A.F.H., R.J.M., M.R.P. W.S.J.)
| | - Robert J. Mentz
- Duke Clinical Research Institute (P.M., N.J.P., A.F.H., R.J.M., M.R.P. W.S.J.), Duke University School of Medicine, Durham, NC
- Division of Cardiology, Duke University School of Medicine, Durham, NC (N.J.P., A.F.H., R.J.M., M.R.P. W.S.J.)
| | - Manesh R. Patel
- Duke Clinical Research Institute (P.M., N.J.P., A.F.H., R.J.M., M.R.P. W.S.J.), Duke University School of Medicine, Durham, NC
- Division of Cardiology, Duke University School of Medicine, Durham, NC (N.J.P., A.F.H., R.J.M., M.R.P. W.S.J.)
| | - W. Schuyler Jones
- Duke Clinical Research Institute (P.M., N.J.P., A.F.H., R.J.M., M.R.P. W.S.J.), Duke University School of Medicine, Durham, NC
- Division of Cardiology, Duke University School of Medicine, Durham, NC (N.J.P., A.F.H., R.J.M., M.R.P. W.S.J.)
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14
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Mentz RJ, Bethel MA, Merrill P, Lokhnygina Y, Buse JB, Chan JC, Felício JS, Goodman SG, Choi J, Gustavson SM, Iqbal N, Lopes RD, Maggioni AP, Öhman P, Pagidipati NJ, Poulter NR, Ramachandran A, Reicher B, Holman RR, Hernandez AF. Effect of Once-Weekly Exenatide on Clinical Outcomes According to Baseline Risk in Patients With Type 2 Diabetes Mellitus: Insights From the EXSCEL Trial. J Am Heart Assoc 2019; 7:e009304. [PMID: 30371301 PMCID: PMC6404902 DOI: 10.1161/jaha.118.009304] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
Background In the EXSCEL (Exenatide Study of Cardiovascular Event Lowering), exenatide once‐weekly resulted in a nonsignificant reduction in major adverse cardiovascular events (MACEs) and a nominal 14% reduction in all‐cause mortality in 14 752 patients with type 2 diabetes mellitus (T2DM) with and without cardiovascular disease. Whether patients at increased risk for events experienced a comparatively greater treatment benefit with exenatide is unknown. Methods and Results In the EXSCEL population, we created risk scores for MACEs and all‐cause mortality using step‐wise selection of baseline characteristics. A risk score was calculated for each patient, and a time‐to‐event model for each end point was developed including the risk score, treatment assignment, and risk‐treatment interaction. Interaction P values evaluating for a differential treatment effect by baseline risk were reported. Over a median follow‐up of 3.2 years (interquartile range, 2.2, 4.4), 1091 (7.4%) patients died and 1744 (11.8%) experienced a MACE. Independent predictors of MACEs and all‐cause mortality included age, sex, comorbidities (eg, previous cardiovascular event), body mass index, blood pressure, hemoglobin A1c, and estimated glomerular filtration rate. The all‐cause mortality and MACE risk models had modest discrimination with optimism‐corrected c‐indices of 0.73 and 0.71, respectively. No interaction was observed between treatment effect and risk profile for either end point (both interactions, P>0.1). Conclusions Baseline characteristics (eg, age, previous cardiovascular events) and routine laboratory values (eg, hemoglobin A1c, estimated glomerular filtration rate) provided modest prognostic value for mortality and MACEs in a broad population of patients with type 2 diabetes mellitus. Exenatide's effects on mortality and MACEs were consistent across the spectrum of baseline risk. Clinical Trial Registration URL: https://www.clinicaltrials.gov. Unique identifier: NCT01144338.
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Affiliation(s)
- Robert J Mentz
- 1 Duke Clinical Research Institute Duke University School of Medicine Durham NC
| | - M Angelyn Bethel
- 2 Diabetes Trials Unit Oxford Centre for Diabetes, Endocrinology and Metabolism University of Oxford United Kingdom
| | - Peter Merrill
- 1 Duke Clinical Research Institute Duke University School of Medicine Durham NC
| | - Yuliya Lokhnygina
- 1 Duke Clinical Research Institute Duke University School of Medicine Durham NC
| | - John B Buse
- 3 Department of Medicine University of North Carolina School of Medicine Chapel Hill NC
| | - Juliana C Chan
- 4 Department of Medicine & Therapeutics The Chinese University of Hong Kong China
| | - João S Felício
- 5 Hospital Universitário João de Barros Barreto-UFPA Belém Brazil
| | - Shaun G Goodman
- 6 St. Michael's Hospital University of Toronto Ontario Canada.,7 Canadian VIGOUR Centre University of Alberta Edmonton Alberta Canada
| | - Jasmine Choi
- 8 AstraZeneca Research and Development Gaithersburg MD
| | | | - Nayyar Iqbal
- 8 AstraZeneca Research and Development Gaithersburg MD
| | - Renato D Lopes
- 1 Duke Clinical Research Institute Duke University School of Medicine Durham NC
| | | | - Peter Öhman
- 8 AstraZeneca Research and Development Gaithersburg MD
| | - Neha J Pagidipati
- 1 Duke Clinical Research Institute Duke University School of Medicine Durham NC
| | - Neil R Poulter
- 10 International Centre for Circulatory Health Imperial College London United Kingdom
| | - Ambady Ramachandran
- 11 India Diabetes Research Foundation and Dr. A. Ramachandran's Diabetes Hospitals Chennai India
| | - Barry Reicher
- 8 AstraZeneca Research and Development Gaithersburg MD
| | - Rury R Holman
- 2 Diabetes Trials Unit Oxford Centre for Diabetes, Endocrinology and Metabolism University of Oxford United Kingdom
| | - Adrian F Hernandez
- 1 Duke Clinical Research Institute Duke University School of Medicine Durham NC
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15
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Bloomgarden Z. The heart in diabetes meeting. J Diabetes 2019; 11:840-841. [PMID: 31373114 DOI: 10.1111/1753-0407.12973] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
Affiliation(s)
- Zachary Bloomgarden
- Department of Medicine, Division of Endocrinology, Diabetes, and Bone Disease, Icahn School of Medicine at Mount Sinai, New York, New York
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16
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Handelsman Y. Rationale for the Early Use of Sodium-Glucose Cotransporter-2 Inhibitors in Patients with Type 2 Diabetes. Adv Ther 2019; 36:2567-2586. [PMID: 31444707 PMCID: PMC6822830 DOI: 10.1007/s12325-019-01054-w] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2019] [Indexed: 02/08/2023]
Abstract
Diabetes-related complications including cardiovascular disease, heart failure (HF), chronic kidney disease, retinopathy, and neuropathy are associated with a high burden of disease. Early initiation of glucose-lowering therapy in patients with type 2 diabetes to achieve glycemic control is important for reduction of not only microvascular risk but also of CV (cardiovascular) risk. Clinical studies have indicated that early achievement of glycemic targets is likely to have the greatest effect on preventing microvascular and macrovascular complications. In addition to improvements in glycemic control and CV risk factors, CV outcomes trials (CVOTs) of empagliflozin (EMPA-REG OUTCOME), canagliflozin (CANVAS), and dapagliflozin (DECLARE-TIMI 58) showed significant glucose-independent reductions in the risk of major adverse CV events and/or hospitalization for HF, as well as reductions in the risk of kidney disease progression, versus placebo. These CVOTs and a renal outcomes study of canagliflozin (CREDENCE) support the early initiation of sodium-glucose cotransporter (SGLT)-2 inhibitors to potentially provide the most benefit toward glycemic control and CV and renal risk. Thus, current treatment recommendations include the early addition of SGLT-2 inhibitor therapy, not only in patients with established CVD, HF, and/or CKD but also in the general population of patients with T2D.Funding: AstraZeneca.
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17
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Leiter LA, Bain SC, Hramiak I, Jódar E, Madsbad S, Gondolf T, Hansen T, Holst I, Lingvay I. Cardiovascular risk reduction with once-weekly semaglutide in subjects with type 2 diabetes: a post hoc analysis of gender, age, and baseline CV risk profile in the SUSTAIN 6 trial. Cardiovasc Diabetol 2019; 18:73. [PMID: 31167654 PMCID: PMC6551895 DOI: 10.1186/s12933-019-0871-8] [Citation(s) in RCA: 55] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2019] [Accepted: 05/17/2019] [Indexed: 12/16/2022] Open
Abstract
Background The SUSTAIN 6 trial demonstrated that once-weekly semaglutide (0.5 and 1.0 mg) significantly reduced major adverse cardiovascular (CV) events (MACE) vs placebo in subjects with type 2 diabetes (T2D) and high CV risk. The effects of gender, age and baseline CV risk on outcomes are important considerations for further study. Methods Subjects were grouped according to gender, age (50–65 years and > 65 years), and CV risk profile at baseline (prior myocardial infarction [MI] or stroke vs no prior MI or stroke, and established CV disease [CVD] vs CV risk factors alone, including subjects with chronic kidney disease). Time to MACE and its individual components (CV death, nonfatal MI, nonfatal stroke), hospitalization for unstable angina or heart failure, and revascularization (coronary and peripheral) were analyzed for all subgroups. Additional analyses were performed for gender and age to investigate change from baseline in HbA1c and body weight, as well as tolerability. Results A total of 3297 subjects were included. The majority of subjects (60.7%) were male; 43% were > 65 years of age; 41.5% had a history of MI or stroke; and 76.8% had established CVD. Compared with placebo, semaglutide reduced the risk of the first occurrence of MACE and each MACE component consistently across all subgroups (gender, age, and baseline CV risk profile). Revascularizations, HbA1c and body weight were also reduced consistently across all subgroups compared with placebo. Gastrointestinal adverse events in all treatment groups were more common among women than men, but rates of premature treatment discontinuation were similar for both genders. Conclusions In this post hoc analysis of SUSTAIN 6, once-weekly semaglutide vs placebo reduced the risk of MACE in all subjects included in the trial, regardless of gender, age, or baseline CV risk profile. Trial registry Clinicaltrials.gov, Identifying number: NCT01720446, Date of registration: October 29, 2012![]() Electronic supplementary material The online version of this article (10.1186/s12933-019-0871-8) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Lawrence A Leiter
- Division of Endocrinology and Metabolism, Li Ka Shing Knowledge Institute, St. Michael's Hospital, University of Toronto, 61 Queen St. East #6121, Toronto, ON, M5C 2T2, Canada.
| | - Stephen C Bain
- Diabetes Research Unit Cymru, Swansea University Medical School, Swansea, Wales, UK
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