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Hoek AG, Dal Canto E, Wenker E, Bindraban N, Handoko ML, Elders PJM, Beulens JWJ. Epidemiology of heart failure in diabetes: a disease in disguise. Diabetologia 2024; 67:574-601. [PMID: 38334818 PMCID: PMC10904471 DOI: 10.1007/s00125-023-06068-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/01/2023] [Accepted: 09/12/2023] [Indexed: 02/10/2024]
Abstract
Left ventricular diastolic dysfunction (LVDD) without symptoms, and heart failure (HF) with preserved ejection fraction (HFpEF) represent the most common phenotypes of HF in individuals with type 2 diabetes mellitus, and are more common than HF with reduced ejection fraction (HFrEF), HF with mildly reduced ejection fraction (HFmrEF) and left ventricular systolic dysfunction (LVSD) in these individuals. However, diagnostic criteria for HF have changed over the years, resulting in heterogeneity in the prevalence/incidence rates reported in different studies. We aimed to give an overview of the diagnosis and epidemiology of HF in type 2 diabetes, using both a narrative and systematic review approach; we focus narratively on diagnosing (using the 2021 European Society of Cardiology [ESC] guidelines) and screening for HF in type 2 diabetes. We performed an updated (2016-October 2022) systematic review and meta-analysis of studies reporting the prevalence and incidence of HF subtypes in adults ≥18 years with type 2 diabetes, using echocardiographic data. Embase and MEDLINE databases were searched and data were assessed using random-effects meta-analyses, with findings presented as forest plots. From the 5015 studies found, 209 were screened using the full-text article. In total, 57 studies were included, together with 29 studies that were identified in a prior meta-analysis; these studies reported on the prevalence of LVSD (n=25 studies, 24,460 individuals), LVDD (n=65 studies, 25,729 individuals), HFrEF (n=4 studies, 4090 individuals), HFmrEF (n=2 studies, 2442 individuals) and/or HFpEF (n=8 studies, 5292 individuals), and on HF incidence (n=7 studies, 17,935 individuals). Using Hoy et al's risk-of-bias tool, we found that the studies included generally had a high risk of bias. They showed a prevalence of 43% (95% CI 37%, 50%) for LVDD, 17% (95% CI 7%, 35%) for HFpEF, 6% (95% CI 3%, 10%) for LVSD, 7% (95% CI 3%, 15%) for HFrEF, and 12% (95% CI 7%, 22%) for HFmrEF. For LVDD, grade I was found to be most prevalent. Additionally, we reported a higher incidence rate of HFpEF (7% [95% CI 4%, 11%]) than HFrEF 4% [95% CI 3%, 7%]). The evidence is limited by the heterogeneity of the diagnostic criteria over the years. The systematic section of this review provides new insights on the prevalence/incidence of HF in type 2 diabetes, unveiling a large pre-clinical target group with LVDD/HFpEF in which disease progression could be halted by early recognition and treatment.Registration PROSPERO ID CRD42022368035.
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Affiliation(s)
- Anna G Hoek
- Epidemiology and Data Science, Amsterdam UMC, location Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
- Amsterdam Cardiovascular Sciences, Amsterdam UMC, Amsterdam, the Netherlands.
| | - Elisa Dal Canto
- Department of Experimental Cardiology, University Medical Center Utrecht, Utrecht, the Netherlands
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Eva Wenker
- Epidemiology and Data Science, Amsterdam UMC, location Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Navin Bindraban
- Heartcenter, Department of Cardiology, Amsterdam UMC, location AMC, Amsterdam, the Netherlands
| | - M Louis Handoko
- Amsterdam Cardiovascular Sciences, Amsterdam UMC, Amsterdam, the Netherlands
- Heartcenter, Department of Cardiology, Amsterdam UMC, location Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Petra J M Elders
- Department of General Practice, Amsterdam UMC, location Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Amsterdam Public Health, Amsterdam UMC, Amsterdam, the Netherlands
| | - Joline W J Beulens
- Epidemiology and Data Science, Amsterdam UMC, location Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Amsterdam Cardiovascular Sciences, Amsterdam UMC, Amsterdam, the Netherlands
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
- Amsterdam Public Health, Amsterdam UMC, Amsterdam, the Netherlands
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Meer R, Hoek AG, Bouman EJ, Doesburg T, Elders PJM, de Jong PA, Beulens J, Study Group US. Association between lower extremity arterial calcification and coronary arterial calcification in a population at increased risk of cardiovascular disease. BMJ Open Diabetes Res Care 2024; 12:e003811. [PMID: 38336383 PMCID: PMC10859972 DOI: 10.1136/bmjdrc-2023-003811] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Accepted: 01/12/2024] [Indexed: 02/12/2024] Open
Abstract
INTRODUCTION There is conflicting evidence whether lower extremity arterial calcification coincides with coronary arterial calcification (CAC). The aims of this study were to investigate the associations between (1) femoral and crural calcification with CAC, and (2) femoral and crural calcification pattern with CAC. RESEARCH DESIGN AND METHODS This cross-sectional study included 405 individuals (74% men, 62.6±10.9 years) from the ARTEMIS cohort study at high risk of cardiovascular disease (CVD) who underwent a CT scan of the femoral, crural and coronary arteries. High CVD risk was defined as history/presence of cerebrovascular disease, coronary artery disease, abdominal aortic aneurysm, renal artery stenosis, peripheral artery disease or CVD risk factors: diabetes mellitus type 2, hypertension, hyperlipidemia. Calcification score within each arterial bed was expressed in Agatston units. Dominant calcification patterns (intimal, medial, absent/indistinguishable) were determined via a CT-guided histologically validated scoring algorithm. Multivariable-adjusted multinomial logistic regression analyses were used. Replication was performed in an independent population of individuals with diabetes mellitus type 2 (Early-HFpEF cohort study). RESULTS Every 100-point increase in femoral and crural calcification score was associated with 1.23 (95% CI=1.09 to 1.37, p<0.001) and 1.28 (95% CI=1.11 to 1.47, p=0.001) times higher odds of having CAC within tertile 3 (high) versus tertile 1 (low), respectively. The association appeared stronger for crural versus femoral arteries. Moreover, the presence of femoral intimal (OR=10.81, 95% CI=4.23 to 27.62, p<0.001), femoral medial (OR=10.37, 95% CI=3.92 to 27.38, p<0.001) and crural intimal (OR=6.70, 95% CI=2.73 to 16.43, p<0.001) calcification patterns were associated with higher odds of having CAC within tertile 3 versus tertile 1, independently from concomitant calcification score. This association appeared stronger for intimal versus medial calcification patterns. The replication analysis yielded similar results. CONCLUSIONS Higher femoral and crural calcification scores were associated with higher CAC. Moreover, the presence of femoral intimal, femoral medial and crural intimal calcification patterns was associated with increased CAC. It appears that arterial calcification is a systemic process which occurs simultaneously in various arterial beds.
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Affiliation(s)
- Romain Meer
- Epidemiology & Data Science, Amsterdam UMC Locatie VUmc, Amsterdam, The Netherlands
- Amsterdam Cardiovascular Sciences Research Institute, Amsterdam, The Netherlands
| | - Anna G Hoek
- Epidemiology & Data Science, Amsterdam UMC Locatie VUmc, Amsterdam, The Netherlands
- Amsterdam Cardiovascular Sciences Research Institute, Amsterdam, The Netherlands
| | - Emma J Bouman
- Epidemiology & Data Science, Amsterdam UMC Locatie VUmc, Amsterdam, The Netherlands
- Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | | | - Petra J M Elders
- Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
- Department of General Practice, Amsterdam UMC - Locatie AMC, Amsterdam, The Netherlands
| | | | - Joline Beulens
- Epidemiology & Data Science, Amsterdam UMC Locatie VUmc, Amsterdam, The Netherlands
- Amsterdam Cardiovascular Sciences Research Institute, Amsterdam, The Netherlands
- Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
- Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht, The Netherlands
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Canto ED, van Deursen L, Hoek AG, Elders PJM, den Ruijter HM, van der Velden J, van Empel V, Serné EH, Eringa EC, Beulens JWJ. Microvascular endothelial dysfunction in skin is associated with higher risk of heart failure with preserved ejection fraction in women with type 2 diabetes: the Hoorn Diabetes Care System Cohort. Cardiovasc Diabetol 2023; 22:234. [PMID: 37658327 PMCID: PMC10474683 DOI: 10.1186/s12933-023-01935-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Accepted: 07/22/2023] [Indexed: 09/03/2023] Open
Abstract
BACKGROUND Microvascular dysfunction plays a crucial role in complications of type 2 diabetes and might contribute to heart failure with preserved ejection fraction (HFpEF), a disease that disproportionally affects women. We aimed to investigate if presence and degree of microvascular dysfunction (MVD) in skin relates to markers of left ventricular diastolic dysfunction (LVDD) and HFpEF risk in adults with type 2 diabetes, and whether sex modifies this association. METHODS We recruited 154 participants (50% women) from the Hoorn Diabetes Care System Cohort, a prospective cohort study, for in vivo evaluation of skin MVD, echocardiography and blood sampling. MVD was assessed by laser speckle contrast analysis combined with iontophoresis of insulin, acetylcholine and sodium nitroprusside (SNP). We performed a cross-sectional analysis of the association between perfusion responses and echocardiographic and clinical markers of LVDD and the H2FPEF score by multivariable linear regression analysis adjusted for confounders. Sex was evaluated as a potential effect modifier and the analysis was stratified. RESULTS Mean age was 67 ± 6y, mean HbA1c 7.6 ± 1.3%. Women were more frequently obese (54.5 vs. 35.1%), had higher NT-proBNP plasma levels (80, IQR:34-165 vs. 46, 27-117 pg/ml) and E/E'(13.3 ± 4.3 vs. 11.4 ± 3.0) than men. Eleven women and three men were diagnosed with HFpEF, and showed lower perfusion response to insulin than those without HFpEF. A lower perfusion response to insulin and acetylcholine was associated with higher HFpEF risk in women, but not men (10% decreased perfusion response was associated with 5.8% [95%CI: 2.3;9.4%] and 5.9% [1.7;10.1%] increase of the H2FPEF score, respectively). A lower perfusion response to SNP was associated with higher pulmonary arterial systolic pressure in men while a lower perfusion response to acetylcholine associated with higher LV mass index in women and with worse LV longitudinal strain in the total population. No significant associations were found between perfusion responses and conventional LVDD markers. CONCLUSIONS Impaired microvascular responses to insulin and acetylcholine in skin confers a higher risk of HFpEF in women with type 2 diabetes. In vivo measures of systemic MVD could represent novel risk markers for HFpEF, opening new avenues for the prevention of HFpEF in type 2 diabetes.
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Affiliation(s)
- Elisa Dal Canto
- Department of Experimental Cardiology, Division Heart and Lungs, UMC Utrecht, Mathias van Geunsgebouw, room 03.03. Postbus 85500 | 3508 GA, Utrecht, The Netherlands
- Department of General Practice and Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
| | - L van Deursen
- Department of Epidemiology and Data Science, Amsterdam University Medical Center, location Vrije Universiteit, Amsterdam, The Netherlands
| | - A G Hoek
- Department of Epidemiology and Data Science, Amsterdam University Medical Center, location Vrije Universiteit, Amsterdam, The Netherlands
- Amsterdam Cardiovascular Sciences, Amsterdam, The Netherlands
| | - P J M Elders
- Department of Epidemiology and Data Science, Amsterdam University Medical Center, location Vrije Universiteit, Amsterdam, The Netherlands
- Amsterdam Cardiovascular Sciences, Amsterdam, The Netherlands
- Department of General Practice and Elderly Care Medicine, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - H M den Ruijter
- Department of Experimental Cardiology, Division Heart and Lungs, UMC Utrecht, Mathias van Geunsgebouw, room 03.03. Postbus 85500 | 3508 GA, Utrecht, The Netherlands
| | - J van der Velden
- Amsterdam Cardiovascular Sciences, Amsterdam, The Netherlands
- Department of Physiology, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - V van Empel
- Department of Cardiology, CARIM School for Cardiovascular Diseases, Maastricht University Medical Center, Maastricht, The Netherlands
| | - E H Serné
- Department of Vascular Medicine & Diabetes Center, Amsterdam University Medical Center, location Vrije Universiteit, Amsterdam, The Netherlands
| | - E C Eringa
- Amsterdam Cardiovascular Sciences, Amsterdam, The Netherlands.
- Department of Physiology, Amsterdam University Medical Center, Amsterdam, The Netherlands.
- Department of Cardiology, CARIM School for Cardiovascular Diseases, Maastricht University Medical Center, Maastricht, The Netherlands.
| | - J W J Beulens
- Department of Epidemiology and Data Science, Amsterdam University Medical Center, location Vrije Universiteit, Amsterdam, The Netherlands
- Amsterdam Cardiovascular Sciences, Amsterdam, The Netherlands
- Department of Physiology, CARIM School for Cardiovascular Diseases, Maastricht, The Netherlands
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
- Amsterdam Public Health, Amsterdam, The Netherlands
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Hoek AG, van Oort S, Elders PJM, Beulens JWJ. Causal Association of Cardiovascular Risk Factors and Lifestyle Behaviors With Peripheral Artery Disease: A Mendelian Randomization Approach. J Am Heart Assoc 2022; 11:e025644. [PMID: 35929454 PMCID: PMC9496309 DOI: 10.1161/jaha.122.025644] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Background We investigated the causal associations between the genetic liability to cardiovascular and lifestyle risk factors and peripheral artery disease (PAD), using a Mendelian randomization approach. Methods and Results We performed a 2‐sample inverse‐variance weighted Mendelian randomization analysis, multiple sensitivity analyses to assess pleiotropy and multivariate Mendelian randomization analyses to assess mediating/confounding factors. European‐ancestry genomic summary data (P<5×10−8) for type 2 diabetes, lipid‐fractions, smoking, alcohol and coffee consumption, physical activity, sleep, and education level were selected. Genetic associations with PAD were extracted from the Million‐Veteran‐Program genome‐wide association studies (cases=31 307, controls=211 753, 72% European‐ancestry) and the GoLEAD‐SUMMIT genome‐wide association studies (11 independent genome‐wide association studies, European‐ancestry, cases=12 086, controls=449 548). Associations were categorized as robust (Bonferroni‐significant (P<0.00294), consistent over PAD‐cohorts/sensitivity analyses), suggestive (P value: 0.00294–0.05, associations in 1 PAD‐cohort/inconsistent sensitivity analyses) or not present. Robust evidence for genetic liability to type 2 diabetes, smoking, insomnia, and inverse associations for higher education level with PAD were found. Suggestive evidence for the genetic liability to higher low‐density lipoprotein cholesterol, triglyceride‐levels, alcohol consumption, and inverse associations for high‐density lipoprotein cholesterol, and increased sleep duration were found. No associations were found for physical activity and coffee consumption. However, effects fully attenuated for low‐density lipoprotein cholesterol and triglycerides after correcting for apoB, and for insomnia after correcting for body mass index and lipid‐fractions. Nonsignificant attenuation by potential mediators was observed for education level and type 2 diabetes. Conclusions Detrimental effects of smoking and type 2 diabetes, but not of low‐density lipoprotein cholesterol and triglycerides, on PAD were confirmed. Lower education level and insomnia were identified as novel risk factors for PAD; however, complete mediation for insomnia and incomplete mediation for education level by downstream risk factors was observed.
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Affiliation(s)
- Anna G Hoek
- Amsterdam UMC location Vrije Universiteit Amsterdam Epidemiology and Data Science Amsterdam The Netherlands.,Amsterdam Cardiovascular Sciences Amsterdam The Netherlands
| | - Sabine van Oort
- Amsterdam UMC location Vrije Universiteit Amsterdam Epidemiology and Data Science Amsterdam The Netherlands.,Amsterdam UMC location Vrije Universiteit Amsterdam General Practice Amsterdam The Netherlands
| | - Petra J M Elders
- Amsterdam UMC location Vrije Universiteit Amsterdam General Practice Amsterdam The Netherlands.,Amsterdam Public Health, Methodology Amsterdam The Netherlands
| | - Joline W J Beulens
- Amsterdam UMC location Vrije Universiteit Amsterdam Epidemiology and Data Science Amsterdam The Netherlands.,Amsterdam Cardiovascular Sciences Amsterdam The Netherlands.,Amsterdam Public Health, Methodology Amsterdam The Netherlands.,University Medical Centre Utrecht Utrecht University, Julius Center for Health Sciences and Primary Care Utrecht The Netherlands
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Abstract
Purpose of Review A clear link between excessive alcohol consumption and cardiovascular disease (CVD) has been established, but no consensus exists on the effects of moderate alcohol consumption on CVD. Recent Findings A lower risk of coronary heart disease and myocardial infarction among moderate drinkers compared to abstainers has been consistently observed in epidemiological studies and meta-analyses of these studies. However, ambiguity remains on the effect of alcohol on other CVDs and all-cause mortality. Short-term randomized controlled trials (RCT) have identified potentially beneficial effects of alcohol consumption on cardiovascular risk factors, but studies investigating genetic polymorphisms that influence alcohol consumption (i.e., Mendelian randomization) have yielded inconclusive results. To date, a long-term RCT providing causal evidence is lacking but urgently needed. Summary Triangulation of evidence from different study designs, including long-term RCTs, pragmatic trials and the evaluation of policy measures, combined will lead to the best available evidence.
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Affiliation(s)
- Anna G Hoek
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Epidemiology & Data Science, Amsterdam Cardiovascular Sciences Research Institute, De Boelelaan 1117, Amsterdam, The Netherlands.
| | - Sabine van Oort
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Epidemiology & Data Science, Amsterdam Cardiovascular Sciences Research Institute, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Kenneth J Mukamal
- Beth Israel Deaconess Medical Center, Harvard Medical School and Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Joline W J Beulens
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Epidemiology & Data Science, Amsterdam Cardiovascular Sciences Research Institute, De Boelelaan 1117, Amsterdam, The Netherlands.,University Medical Centre Utrecht, Julius Center for Health Sciences and Primary Care, Utrecht University, Utrecht, The Netherlands
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