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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] [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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Liang YL, Chen L, Wang T, Qu JC. Efficacy and safety of dapagliflozin and liraglutide in patients with type 2 diabetes mellitus and newly diagnosed as overweight/obese. Asian J Surg 2023; 46:1000-1001. [PMID: 35963674 DOI: 10.1016/j.asjsur.2022.07.115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Accepted: 07/21/2022] [Indexed: 02/08/2023] Open
Affiliation(s)
- Yan-Ling Liang
- Department of Endocrine, The 305 Hospital of PLA, Beijing, 100017, China
| | - Ling Chen
- Department of Respiration, The 305 Hospital of PLA, Beijing, 100017, China
| | - Tong Wang
- Department of Endocrine, The 305 Hospital of PLA, Beijing, 100017, China
| | - Jian-Chang Qu
- Department of Endocrine, The 305 Hospital of PLA, Beijing, 100017, China.
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Li T, Li G, Guo X, Li Z, Yang J, Sun Y. The influence of diabetes and prediabetes on left heart remodeling: A population-based study. J Diabetes Complications 2021; 35:107771. [PMID: 33144026 DOI: 10.1016/j.jdiacomp.2020.107771] [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: 08/17/2020] [Revised: 10/06/2020] [Accepted: 10/08/2020] [Indexed: 01/31/2023]
Abstract
BACKGROUND Diabetes was regarded as an independent risk factor for abnormal left heart remodeling. However, there was lacking population-based data on the relationship of glucose status with left ventricular hypertrophy (LVH) or left atrial enlargement (LAE). This study intended to clarify the influence of diabetes and prediabetes on the prevalence and incidence of LVH and LAE based on a northeast rural population of China. METHODS We analyzed clinical, laboratory and echocardiographic data of a total of 2824 participants aged over 35 years from a population-based prospective cohort NCRCHS study with 2 years of follow-up, which was carried out in rural areas of northeast China. All measurements were performed according to standardized protocols. RESULTS There were 2179 controls, 342 subjects with prediabetes and 303 ones with diabetes. The baseline distribution of LAD, IVSd, LVIDd, LVIDs, LVMI, E wave, A wave, E/A, E/e', diastolic dysfunction, LVEDV, LVESV and SV was significantly different among three groups (all Ptrend<0.05). After the adjustment for age, gender, BMI, waist circumference, heart rate, hypertension and dyslipidemia, glucose status remained associated with LVIDd and E/e' (all P < 0.05). At baseline, diabetes was independently related to the prevalence of LVH (OR = 1.53; 95%CI = 1.12-2.10; P < 0.01) and LAE (OR = 1.71; 95%CI = 1.19-2.43; P < 0.01) in the overall population, and the same significant results were also found in gender specific subgroups. During the 2-year follow-up, Cox regression models revealed that baseline diabetes had an independent association with the incidence of LAE in the total subjects (HR = 1.83; 95%CI = 1.10-3.06; P = 0.02) and females (HR = 1.90; 95%CI = 1.05-3.46; P = 0.04) after adjusting the potential confounders. CONCLUSION Diabetes, but not prediabetes, is an independent predictor for the prevalence of LVH and LAE, and for the new-onset LAE, it should be considered in the assessment of diabetes and cardiac structural remodeling.
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Affiliation(s)
- Tan Li
- Department of Cardiovascular Ultrasound, the First Hospital of China Medical University, Shenyang 110001, China.
| | - Guangxiao Li
- Department of Medical Record Management Center, the First Hospital of China Medical University, Shenyang 110001, China.
| | - Xiaofan Guo
- Department of Cardiology, the First Hospital of China Medical University, Shenyang 110001, China.
| | - Zhao Li
- Department of Cardiology, the First Hospital of China Medical University, Shenyang 110001, China.
| | - Jun Yang
- Department of Cardiovascular Ultrasound, the First Hospital of China Medical University, Shenyang 110001, China.
| | - Yingxian Sun
- Department of Cardiology, the First Hospital of China Medical University, Shenyang 110001, China.
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Chen HF, Chang YH, Lo HJ, Isfandiari MA, Martini S, Hou WH, Li CY. Incidence of idiopathic cardiomyopathy in patients with type 2 diabetes in Taiwan: age, sex, and urbanization status-stratified analysis. Cardiovasc Diabetol 2020; 19:177. [PMID: 33054769 PMCID: PMC7558694 DOI: 10.1186/s12933-020-01144-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Accepted: 09/27/2020] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND The epidemiology of diabetes and idiopathic cardiomyopathy have limited data. We investigated the overall and the age-, sex-, and urbanization-specific incidence and relative hazard of idiopathic cardiomyopathy in association with type 2 diabetes and various anti-diabetic medications used in Taiwan. METHODS A total of 474,268 patients with type 2 diabetes were identified from ambulatory care and inpatient claims in 2007-2009 from Taiwan's National Health Insurance (NHI) database. We randomly selected 474,266 age-, sex-, and diagnosis date-matched controls from the registry of NHI beneficiaries. All study subjects were linked to ambulatory care and inpatient claims (up to the end of 2016) to identify the possible diagnosis of idiopathic cardiomyopathy. The person-year approach with Poisson assumption was used to estimate the incidence, and Cox proportional hazard regression model with Fine and Gray's method was used to estimate the relative hazards of idiopathic cardiomyopathy in relation to type 2 diabetes. RESULTS The overall incidence of idiopathic cardiomyopathy for men and women patients, respectively, was 3.83 and 2.94 per 10,000 person-years, which were higher than the corresponding men and women controls (2.00 and 1.34 per 10,000 person-years). Compared with the control group, patients with type 2 diabetes were significantly associated with an increased hazard of idiopathic cardiomyopathy (adjusted hazard ratio [aHR]: 1.60, 95% confidence interval [CI]: 1.45-1.77] in all age and sex stratifications except in those men aged > 64 years. Patients with type 2 diabetes aged < 45 years confronted the greatest increase in the hazard of idiopathic cardiomyopathy, with an aHR of 3.35 (95% CI 2.21-5.06) and 3.48 (95% CI 1.60-7.56) for men and women, respectively. The usage of some anti-diabetic medications revealed lower risks of idiopathic cardiomyopathy. CONCLUSIONS In Taiwan, diabetes increased the risk of idiopathic cardiomyopathy in both sexes and in all age groups, except in men aged > 64 years. Younger patients were vulnerable to have higher HRs of idiopathic cardiomyopathy. Some anti-diabetic medications may reduce the risks of cardiomyopathy.
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Affiliation(s)
- Hua-Fen Chen
- Department of Endocrinology, Far Eastern Memorial Hospital, New Taipei City, Taiwan
- School of Medicine and Department of Public Health, College of Medicine, Fujen Catholic University, New Taipei City, Taiwan
| | - Ya-Hui Chang
- Department of Public Health, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Hsien-Jung Lo
- Department of Cardiology, Cardiovascular Center, Far Eastern Memorial Hospital, New Taipei City, Taiwan
| | | | - Santi Martini
- Department of Epidemiology, Faculty of Public Health, Universitas Airlangga, Surabaya, Indonesia
| | - Wen-Hsuan Hou
- Department of Physical Medicine and Rehabilitation, Taipei Medical University Hospital, Taipei, Taiwan
- Master Program in Long-Term Care, College of Nursing, Taipei Medical University, Taipei, Taiwan
- Graduate Institute of Clinical Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Chung-Yi Li
- Department of Public Health, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
- Department of Epidemiology, Faculty of Public Health, Universitas Airlangga, Surabaya, Indonesia.
- Department of Public Health, College of Public Health, China Medical University, Taichung City, Taiwan.
- Department of Healthcare Administration, College of Medical and Health Science, Asia University, Taichung City, Taiwan.
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