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Wang Y, Qin Y, Zhang J, Wu A, Qin X, Du L, Zhang H, Guo X, Zhang S. Sodium-Glucose Cotransporter-2 Inhibitors and Diabetic-Ketoacidosis in T2DM Patients: An Updated Meta-Analysis and a Mendelian Randomization Analysis. Clin Pharmacol Ther 2025; 117:1661-1669. [PMID: 40070044 DOI: 10.1002/cpt.3615] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2024] [Accepted: 02/10/2025] [Indexed: 05/20/2025]
Abstract
To evaluate the association of sodium-glucose cotransporter 2 inhibitors (SGLT2i) with diabetic ketoacidosis (DKA) in type 2 diabetes mellitus (T2DM) patients across different subgroups, we searched randomized controlled trials (RCTs) comparing SGLT2i with the control groups among T2DM patients and including DKA as a safety outcome. Pooled risk ratios (RRs) were calculated using random or fixed-effects models, as appropriate. An inverse-variance-weighted Mendelian randomization (MR) analysis was performed to estimate the genetic correlation. Twenty-two trials involving 80,235 patients were included. SGLT2i increased the risk of DKA compared to the control groups (RR 2.32, 95% CI 1.64-3.27). The risk was significantly increased in patients with higher HbA1c levels (> 7.9%) (RR 2.24, 95% CI 1.59-3.14), but not in those with lower HbA1c levels (≤ 7.9%) (RR 1.05, 95% CI 0.49-2.26; interaction P = 0.034). SGLT2i increased DKA risk in chronic kidney disease (CKD) (RR 2.70, 95% CI 1.55-4.71) and high atherosclerotic cardiovascular disease (ASCVD) risk trials (RR 2.46, 95% CI 1.47-4.11) but not significantly in heart failure (HF) trials (RR 1.23, 95% CI 0.51-2.96). Moreover, in the HF trials, SGLT2i consistently did not increase the risk of DKA in any clinical subgroups. Nevertheless, MR analysis still confirmed a genetic association between SGLT2i and the risk of DKA among overall T2DM patients. SGLT2i may increase the risk of DKA in T2DM patients, particularly in patients with higher levels of HbA1c and those with comorbid CKD or at high-risk ASCVD. However, the increased risk was not significant in patients with HF.
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Affiliation(s)
- Yufei Wang
- Department of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yuhan Qin
- Department of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jing Zhang
- Department of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Anhu Wu
- Department of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xiaohan Qin
- Department of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Le Du
- Department of Anesthesiology, Peking University Third Hospital, Beijing, China
| | - Huabing Zhang
- Department of Endocrinology, Key Laboratory of Endocrinology of the National Health Commission, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xiaoxiao Guo
- Department of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Department of Internal Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Shuyang Zhang
- Department of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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Sun F, Yu XJ, Huang XH, Lin J, Zhang J, Xu YM, Yang WM, Wang XZ. The association between Glycated Hemoglobin to High Density Lipoprotein Cholesterol Ratio and risk of cardiovascular diseases caused death among adult cancer survivors: evidence from NHANES 1999-2018. Lipids Health Dis 2025; 24:149. [PMID: 40264175 PMCID: PMC12016323 DOI: 10.1186/s12944-025-02566-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2025] [Accepted: 04/11/2025] [Indexed: 04/24/2025] Open
Abstract
BACKGROUND The population of cancer survivors is growing markedly, facing an elevated risk of overall mortality as well as death from cardiovascular diseases (CVDs). Uncovering biomarkers that associated with CVDs among cancer survivors appears to be vital. METHODS We collected data from NHANES (1999-2018), focusing on cancer survivors with comprehensive Glycated Hemoglobin (GH), High Density Lipoprotein Cholesterol (HDL-C), CVDs history and survival follow-up information. We first executed test for Proportional Hazards assumptions among the variables, paving the way for constructing the COX proportional hazards model. By stratifying participants by age, we explored the association between GH/HDL-C levels and the CVDs-caused mortality risk across various age segments. Restricted cubic spline (RCS) curves were employed to detect any potential non-linear associations. When non-linear associations were identified, we proceeded with segmented analyses based on reference values to better understand the association between GH/HDL-C and the risk of CVDs-related mortality among cancer survivors. To further affirm the robustness of our findings, subgroup and sensitivity analyses were conducted. RESULTS A total of 3,244 eligible participants were included in this study. The GH/HDL-C levels in cancer survivors died from CVDs were markedly higher than those who survived the follow-up period. According to the results from the Proportional Hazards assumptions test, the endpoint for CVDs mortality was established at 168 months, and the subjects were classified into three age groups: <60 years, between 60 and 74 years, and ≥ 75 years. For the young cohort (< 60 years), there was no significant association between GH/HDL-C levels and CVDs mortality. However, in the 60 ~ 74 age group, a linear association was noted, with higher GH/HDL-C levels indicating a greater CVDs-related mortality risk. For cancer survivors aged 75 and older, the association appeared nonlinear, resembling a U-shaped curve, where high GH/HDL-C levels were associated with higher mortality risk above the certain reference point (4.25mmol/L^-1), while lower levels were associated with reduced risk or no significant impact. CONCLUSION The study highlighted that in cancer survivors, the GH/HDL-C is significantly associated with the risk of CVDs mortality. Those between 60 and 74 years old showed a straightforward increase in CVD death risk with higher GH/HDL-C levels. In individuals aged 75 and older, the association was more complex, exhibiting a non-linear U-shaped trend.
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Affiliation(s)
- Fan Sun
- Jiangxi Province Key Laboratory of Immunology and Inflammation, Jiangxi Provincial Clinical Research Center for Laboratory Medicine, Department of Clinical Laboratory, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, 330006, China
| | - Xia-Jing Yu
- School of Public Health, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, 330006, China
| | - Xiao-Hong Huang
- Department of Pathology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, 330006, China
| | - Jin Lin
- Jiangxi Province Key Laboratory of Immunology and Inflammation, Jiangxi Provincial Clinical Research Center for Laboratory Medicine, Department of Clinical Laboratory, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, 330006, China
| | - Jing Zhang
- Jiangxi Province Key Laboratory of Immunology and Inflammation, Jiangxi Provincial Clinical Research Center for Laboratory Medicine, Department of Clinical Laboratory, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, 330006, China
| | - Yan-Mei Xu
- Jiangxi Province Key Laboratory of Immunology and Inflammation, Jiangxi Provincial Clinical Research Center for Laboratory Medicine, Department of Clinical Laboratory, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, 330006, China
| | - Wei-Ming Yang
- Jiangxi Province Key Laboratory of Immunology and Inflammation, Jiangxi Provincial Clinical Research Center for Laboratory Medicine, Department of Clinical Laboratory, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, 330006, China
| | - Xiao-Zhong Wang
- Jiangxi Province Key Laboratory of Immunology and Inflammation, Jiangxi Provincial Clinical Research Center for Laboratory Medicine, Department of Clinical Laboratory, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, 330006, China.
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Cui D, Xu H, Fu X, Ma S, Bee YM. Modeling recurrent heart failure risk in type 2 diabetes: impact of flexible HbA1c trajectories using nonhomogeneous Poisson processes. Front Endocrinol (Lausanne) 2025; 16:1472846. [PMID: 40331147 PMCID: PMC12051216 DOI: 10.3389/fendo.2025.1472846] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2024] [Accepted: 03/19/2025] [Indexed: 05/08/2025] Open
Abstract
Background Many clinical trials yielded inconsistent results regarding the effect of intensive glycated hemoglobin control on cardiovascular diseases in type 2 diabetes. We identified distinct HbA1c trajectories and their association with the recurrent hospitalization of heart failures (HHF) for patients with type 2 diabetes starting from the date of diabetes diagnosis. Methods In this study, we included 194,258 patients who entered the SingHealth Diabetes Registry from 2013 to 2020. Their diagnoses of type 2 diabetes spanned the years 1960-2020, encompassing HbA1c measurements, records of HHF, and other cardiovascular complications. Latent class growth models (LCGM) with splines were used to extract the subgroups with distinct HbA1c trajectories. The association between HbA1c trajectories and the recurrent risk of HHF was investigated by nonhomogeneous Poisson processes (NHPP). Results Eight distinct HbA1c trajectories were identified as follows: low stable (LowS, 22.2%), moderate low ascending (ModLowA, 12.7%), moderate high ascending (ModHighA, 11.5%), moderate low descending (ModLowD, 17.2%), moderate high descending (ModHighD, 10.1%), moderate high volatility (ModHighV, 10.1%), high with a sharp decline (HighSD, 8.0%), and high volatility (HighV, 10.2%). Using the Class LowS as a reference, the hazard ratios for recurrent HHF for the other classes are as follows: 0.79 for ModLowA, 1.30 for ModHighA, 1.17 for ModLowD, 1.89 for ModHighD, 1.94 for ModHighV, 1.25 for HighSD, and 2.88 for HighV. Considering recurrent HHFs, our NHPP model demonstrated predictive capability for type 2 diabetes patients' future HHF events. Conclusions Low baseline HbA1c levels are associated with a lower risk of recurrent HHF, while poor glycemic control significantly increases this risk. Our application of LCGM with splines effectively captures flexible, long-term HbA1c trajectories, while the innovative use of the NHPP model allows for precise modeling of HHF recurrence risk. This approach provides a foundation for personalized risk predictions and future HF management by incorporating dynamically updated risk factors.
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Affiliation(s)
- Di Cui
- Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (ASTAR), Singapore, Singapore
| | - Haiyan Xu
- Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (ASTAR), Singapore, Singapore
| | - Xiuju Fu
- Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (ASTAR), Singapore, Singapore
| | - Stefan Ma
- Public Health Group, Ministry of Health Singapore, Singapore, Singapore
| | - Yong Mong Bee
- Department of Endocrinology, Singapore General Hospital, Singapore, Singapore
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Wada S, Sakuraba M, Nakai M, Suzuki T, Miyamoto Y, Noguchi T, Iwanaga Y. Long-term Major Adverse Cardiac Event Prediction by Computed Tomography-derived Plaque Measures and Clinical Parameters Using Machine Learning. Intern Med 2025; 64:1001-1008. [PMID: 39231681 PMCID: PMC12021509 DOI: 10.2169/internalmedicine.3566-24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/28/2024] [Accepted: 07/21/2024] [Indexed: 09/06/2024] Open
Abstract
Objective The present study evaluated the usefulness of machine learning (ML) models with the coronary computed tomography imaging and clinical parameters for predicting major adverse cardiac events (MACEs). Methods The Nationwide Gender-specific Atherosclerosis Determinants Estimation and Ischemic Cardiovascular Disease Prospective Cohort study (NADESICO) of 1,187 patients with suspected coronary artery disease 50-74 years old was used to build a MACE prediction model. The ML random forest (RF) model was compared with a logistic regression analysis. The performance of the ML model was evaluated using the area under the curve (AUC) with the 95% confidence interval (CI). Results Among 1,178 patients from the NADESICO dataset, MACEs occurred in 103 (8.7%) patients during a median follow-up of 4.4 years. The AUC of the RF model for MACE prediction was 0.781 (95% CI: 0.670-0.870), which was significantly higher than that of the conventional logistic regression model [AUC, 0.750 (95% CI: 0.651-0.839)]. The important features in the RF model were coronary artery stenosis (CAS) at any site, CAS in the left anterior descending branch, HbA1c level, CAS in the right coronary artery, and sex. In the external validation cohort, the model accuracy of ensemble ML-RF models that were trained on and tuned using the NADESICO dataset was not similar [AUC: 0.635 (95% CI: 0.599-0.672)]. Conclusion The ML-RF model improved the long-term prediction of MACEs compared to the logistic regression model. However, the selected variables in the internal dataset were not highly predictive of the external dataset. Further investigations are required to validate the usefulness of this model.
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Affiliation(s)
- Shinichi Wada
- Department of Medical and Health Information Management, National Cerebral and Cardiovascular Center, Japan
- Department of Neurology, Kansai Electric Power Hospital, Japan
| | - Makino Sakuraba
- Technology Unit, AI Strategy Office, Softbank Corporation, Japan
| | - Michikazu Nakai
- Department of Medical and Health Information Management, National Cerebral and Cardiovascular Center, Japan
- Clinical Research Support Center, University of Miyazaki Hospital, Japan
| | - Takayuki Suzuki
- Technology Unit, AI Strategy Office, Softbank Corporation, Japan
| | - Yoshihiro Miyamoto
- Department of Medical and Health Information Management, National Cerebral and Cardiovascular Center, Japan
| | - Teruo Noguchi
- Department of Cardiology, National Cerebral and Cardiovascular Center, Japan
| | - Yoshitaka Iwanaga
- Department of Medical and Health Information Management, National Cerebral and Cardiovascular Center, Japan
- Department of Cardiology, Sakurabashi Watanabe Advanced Healthcare Hospital, Japan
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Wang J, Yang Y, Su Q, Wang J, Zeng H, Chen Y, Zhou J, Wang Y. Association between muscle strength and cardiometabolic multimorbidity risk among middle-aged and older Chinese adults: a nationwide longitudinal cohort study. BMC Public Health 2024; 24:2012. [PMID: 39068419 PMCID: PMC11282630 DOI: 10.1186/s12889-024-19521-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Accepted: 07/18/2024] [Indexed: 07/30/2024] Open
Abstract
BACKGROUND Cardiometabolic multimorbidity (CM) is emerging as a global health challenge. This study investigated the potential impact of muscle strength on the risk of CM in middle-aged and older Chinese adults. METHODS In total, 7610 participants were identified from the China Health and Retirement Longitudinal Study (CHARLS). Muscle strength was measured by absolute, relative grip strength (normalized for body mass index) and chair-rising time which were classified into three categories according to tertiles stratified by gender. Cox proportional hazards models were adopted to evaluate the effect of muscle strength on CM. RESULTS During follow-up, 235(3.76%) participants from none cardiometabolic diseases (CMD), 140 (19.23%) from diabetes, 119 (21.17%) from heart disease, and 22 (30.56%) from stroke progressed to CM. In participants who had low relative grip strength, CM was more likely to occur in individuals with heart disease at baseline (HR: 1.89, 95%CIs: 1.10 to 3.23). Those with high chair-rising time had a higher risk of CM than those with low chair-rising time in the individuals with diabetes (HR: 1.85, 95%CIs:1.20 to 2.86) and with heart disease (HR: 1.67, 95%CIs:1.04 to 2.70). However, we did not observe an association between muscle strength and CM in participants without CMD or with stroke at baseline. CONCLUSIONS In Chinese middle-aged and older adults, low relative grip strength was associated with a higher risk of CM in individuals with heart disease, while high chair-rising time was associated with a higher risk of CM in individuals with diabetes or heart disease.
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Affiliation(s)
- Jingxian Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Wenzhou Medical University, Chashan High Education Zone, Wenzhou, China
| | - Yi Yang
- Department of Epidemiology and Biostatistics, School of Public Health, Wenzhou Medical University, Chashan High Education Zone, Wenzhou, China
| | - Qing Su
- Department of Epidemiology and Biostatistics, School of Public Health, Wenzhou Medical University, Chashan High Education Zone, Wenzhou, China
| | - Juejin Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Wenzhou Medical University, Chashan High Education Zone, Wenzhou, China
| | - Hao Zeng
- Department of Epidemiology and Biostatistics, School of Public Health, Wenzhou Medical University, Chashan High Education Zone, Wenzhou, China
| | - Yaqing Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Wenzhou Medical University, Chashan High Education Zone, Wenzhou, China
| | - Junxi Zhou
- Department of Epidemiology and Biostatistics, School of Public Health, Wenzhou Medical University, Chashan High Education Zone, Wenzhou, China
| | - Yi Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Wenzhou Medical University, Chashan High Education Zone, Wenzhou, China.
- Oujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health), Wenzhou, Zhejiang, China.
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Mao X, Cheung KS, Tan JT, Mak LY, Lee CH, Chiang CL, Cheng HM, Hui RWH, Yuen MF, Leung WK, Seto WK. Optimal glycaemic control and the reduced risk of colorectal adenoma and cancer in patients with diabetes: a population-based cohort study. Gut 2024; 73:1313-1320. [PMID: 38569845 DOI: 10.1136/gutjnl-2023-331701] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Accepted: 03/22/2024] [Indexed: 04/05/2024]
Abstract
OBJECTIVE Whether varying degrees of glycaemic control impact colonic neoplasm risk in patients with diabetes mellitus (DM) remains uncertain. DESIGN Patients with newly diagnosed DM were retrieved from 2005 to 2013. Optimal glycaemic control at baseline was defined as mean haemoglobin A1c (HbA1c)<7%. Outcomes of interest included colorectal cancer (CRC) and colonic adenoma development. We used propensity score (PS) matching with competing risk models to estimate subdistribution HRs (SHRs). We further analysed the combined effect of baseline and postbaseline glycaemic control based on time-weighted mean HbA1c during follow-up. RESULTS Of 88 468 PS-matched patients with DM (mean (SD) age: 61.5 (±11.7) years; male: 47 127 (53.3%)), 1229 (1.4%) patients developed CRC during a median follow-up of 7.2 (IQR: 5.5-9.4) years. Optimal glycaemic control was associated with lower CRC risk (SHR 0.72; 95% CI 0.65 to 0.81). The beneficial effect was limited to left-sided colon (SHR 0.71; 95% CI 0.59 to 0.85) and rectum (SHR 0.71; 95% CI 0.57 to 0.89), but not right-sided colon (SHR 0.86; 95% CI 0.67 to 1.10). Setting suboptimal glycaemic control at baseline/postbaseline as a reference, a decreased CRC risk was found in optimal control at postbaseline (SHR 0.79), baseline (SHR 0.71) and both time periods (SHR 0.61). Similar associations were demonstrated using glycaemic control as a time-varying covariate (HR 0.75). A stepwise greater risk of CRC was found (Ptrend<0.001) with increasing HbA1c (SHRs 1.34, 1.30, 1.44, 1.58 for HbA1c 7.0% to <7.5%, 7.5% to <8.0%, 8.0% to <8.5% and ≥8.5%, respectively). Optimal glycaemic control was associated with a lower risk of any, non-advanced and advanced colonic adenoma (SHRs 0.73-0.87). CONCLUSION Glycaemic control in patients with DM was independently associated with the risk of colonic adenoma and CRC development with a biological gradient.
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Affiliation(s)
- Xianhua Mao
- Department of Medicine, The University of Hong Kong, Hong Kong, Hong Kong
| | - Ka Shing Cheung
- Department of Medicine, The University of Hong Kong, Hong Kong, Hong Kong
- Department of Medicine, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China
| | - Jing-Tong Tan
- Department of Medicine, The University of Hong Kong, Hong Kong, Hong Kong
| | - Lung-Yi Mak
- Department of Medicine, The University of Hong Kong, Hong Kong, Hong Kong
| | - Chi-Ho Lee
- Department of Medicine, The University of Hong Kong, Hong Kong, Hong Kong
| | - Chi-Leung Chiang
- Department of Clinical Oncology, The University of Hong Kong, Hong Kong, Hong Kong
| | - Ho Ming Cheng
- Department of Medicine, The University of Hong Kong, Hong Kong, Hong Kong
| | - Rex Wan-Hin Hui
- Department of Medicine, The University of Hong Kong, Hong Kong, Hong Kong
| | - Man Fung Yuen
- Department of Medicine, The University of Hong Kong, Hong Kong, Hong Kong
| | - Wai Keung Leung
- Department of Medicine, The University of Hong Kong, Hong Kong, Hong Kong
| | - Wai-Kay Seto
- Department of Medicine, The University of Hong Kong, Hong Kong, Hong Kong
- Department of Medicine, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China
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Zhao M, Dong Y, Chen L, Shen H. Influencing factors of stroke in patients with type 2 diabetes: A systematic review and meta-analysis. PLoS One 2024; 19:e0305954. [PMID: 38913694 PMCID: PMC11196000 DOI: 10.1371/journal.pone.0305954] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2024] [Accepted: 06/09/2024] [Indexed: 06/26/2024] Open
Abstract
BACKGROUND Stroke stands as a significant macrovascular complication among individuals with Type 2 diabetes mellitus (T2DM), often resulting in the primary cause of mortality and disability within this patient demographic. Presently, numerous studies have been conducted to investigate the underlying causes of stroke in individuals with T2DM, yet the findings exhibit inconsistencies. OBJECTIVE This paper aims to consolidate and summarize the available evidence concerning the influential factors contributing to stroke among patients diagnosed with T2DM. METHODS We conducted a comprehensive search across multiple databases, including Cochrane Library, PubMed, Web Of Science, Embase, China Biology Medicine (CBM), China National Knowledge Infrastructure (CNKI), Wanfang and Weipu up to August 2023. Google Scholar was also searched to retrieve gray literature. We calculated odds ratios (OR) and 95% confidence intervals (CI) using Stata software. RESULTS Our analysis encompassed 43 observational studies, exploring factors across sociodemographic, biochemical, complications, and hypoglycemic agent categories. The findings identified several risk factors for stroke in patients with T2DM: age, gender, T2DM duration, hypertension, body-mass index (BMI), smoking, Glycated hemoglobin (HbA1c), estimated Glomerular Filtration Rate (eGFR), albuminuria, Triglycerides (TG), Low density lipoprotein cholesterol (LDL-C), Coronary heart disease (CHD), Atrial fibrillation (AF), diabetic retinopathy (DR), Peripheral vascular disease (PVD), and carotid plaque. Conversely, exercise, High density lipoprotein cholesterol (HDL-C), metformin (MET), pioglitazone, and metformin combination therapy emerged as protective factors. CONCLUSION This study underscores the multitude of influencing factors contributing to stroke in people with T2DM patients, among which the microvascular complications of T2DM play an most important role. Therefore, we emphasize the importance of screening for microvascular complications in patients with T2DM. However, due to limitations arising from the number of articles reviewed, there remain areas where clarity is lacking. Further research efforts are warranted to expand upon and reinforce our current findings.
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Affiliation(s)
- Mengjiao Zhao
- School of Nursing, Zhejiang Chinese Medical University, Hangzhou, 310053, China
| | - Yongze Dong
- Department of Nursing, Zhejiang Provincial People’s Hospital (Affiliated People’s Hospital), Hangzhou Medical College, Hangzhou, 310014, China
| | - Luchen Chen
- School of Nursing, Zhejiang Chinese Medical University, Hangzhou, 310053, China
| | - Huajuan Shen
- Department of Nursing, Zhejiang Provincial People’s Hospital (Affiliated People’s Hospital), Hangzhou Medical College, Hangzhou, 310014, China
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Kunutsor SK, Balasubramanian VG, Zaccardi F, Gillies CL, Aroda VR, Seidu S, Khunti K. Glycaemic control and macrovascular and microvascular outcomes: A systematic review and meta-analysis of trials investigating intensive glucose-lowering strategies in people with type 2 diabetes. Diabetes Obes Metab 2024; 26:2069-2081. [PMID: 38409644 DOI: 10.1111/dom.15511] [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: 01/03/2024] [Revised: 02/04/2024] [Accepted: 02/05/2024] [Indexed: 02/28/2024]
Abstract
AIM We aimed to determine the macrovascular and microvascular outcomes of intensive versus standard glucose-lowering strategies in type 2 diabetes (T2D) and investigate the relationships between these outcomes and trial arm glycated haemoglobin (HbA1c) reduction. MATERIALS AND METHODS In this systematic review and meta-analysis, we identified relevant trials from MEDLINE, Embase, the Cochrane Library, and bibliographies up to August 2023. Macrovascular and microvascular outcomes, along with safety outcomes, were evaluated. Pooled study-specific hazard ratios (HRs) with 95% confidence intervals (CIs) were calculated, and meta-regression was employed to analyse the relationships between outcomes and HbA1c reduction. RESULTS We included 11 unique RCTs involving 51 469 patients with T2D (intensive therapy, N = 26 691; standard therapy, N = 24 778). Intensive versus standard therapy reduced the risk of non-fatal myocardial infarction (MI) (HR 0.84; 95% CI 0.75-0.94) with no difference in the risk of major adverse cardiovascular events (HR 0.97; 95% CI 0.92-1.03) and other adverse cardiovascular outcomes. Intensive versus standard therapy reduced the risk of retinopathy (HR 0.85; 0.78-0.93), nephropathy (HR 0.71; 0.58-0.87) and composite microvascular outcomes (HR 0.88; 0.77-1.00). Meta-regression analyses showed modest evidence of inverse linear relationships between HbA1c reduction and the outcomes of major adverse cardiovascular events, non-fatal MI, stroke and retinopathy, but these were not statistically significant. CONCLUSIONS In people with T2D, intensive glucose control was associated with a reduced risk of non-fatal MI and several microvascular outcomes, particularly retinopathy and nephropathy. The lack of an effect of intensive glucose-lowering on most macrovascular outcomes calls for a more comprehensive approach to managing cardiovascular risk factors alongside glycaemic control.
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Affiliation(s)
- Setor K Kunutsor
- Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, UK
- Diabetes Research Centre, University of Leicester, Leicester, UK
- NIHR Leicester Biomedical Research Centre, Leicester General Hospital, Leicester, UK
| | - Victoria G Balasubramanian
- Diabetes Research Centre, University of Leicester, Leicester, UK
- College of Life Sciences, University of Leicester, Leicester, UK
| | - Francesco Zaccardi
- Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, UK
- Diabetes Research Centre, University of Leicester, Leicester, UK
- NIHR Leicester Biomedical Research Centre, Leicester General Hospital, Leicester, UK
| | - Clare L Gillies
- Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, UK
- Diabetes Research Centre, University of Leicester, Leicester, UK
- NIHR Leicester Biomedical Research Centre, Leicester General Hospital, Leicester, UK
| | - Vanita R Aroda
- Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Samuel Seidu
- Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, UK
- Diabetes Research Centre, University of Leicester, Leicester, UK
- NIHR Leicester Biomedical Research Centre, Leicester General Hospital, Leicester, UK
| | - Kamlesh Khunti
- Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, UK
- Diabetes Research Centre, University of Leicester, Leicester, UK
- NIHR Leicester Biomedical Research Centre, Leicester General Hospital, Leicester, UK
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Kunutsor SK, Zaccardi F, Balasubramanian VG, Gillies CL, Aroda VR, Seidu S, Davies MJ, Khunti K. Glycaemic control and macrovascular and microvascular outcomes in type 2 diabetes: Systematic review and meta-analysis of cardiovascular outcome trials of novel glucose-lowering agents. Diabetes Obes Metab 2024; 26:1837-1849. [PMID: 38379094 DOI: 10.1111/dom.15500] [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: 12/14/2023] [Revised: 01/31/2024] [Accepted: 01/31/2024] [Indexed: 02/22/2024]
Abstract
AIM Using a systematic review and meta-analysis of placebo-controlled cardiovascular outcome trials (CVOTs) of newer glucose-lowering agents [sodium-glucose cotransporter-2 inhibitors (SGLT-2is), glucagon-like peptide-1 receptor agonists (GLP-1RAs), and dipeptidyl peptidase-4 inhibitors (DPP-4is)] in type 2 diabetes (T2D), we aimed to determine the macrovascular and microvascular outcomes of these agents and clarify the relationships between glycated haemoglobin (HbA1c) reduction and risk of these outcomes. MATERIALS AND METHODS Randomized controlled trials were identified from MEDLINE, Embase and the Cochrane Library until September 2023. Study-specific hazard ratios with 95% confidence intervals (CIs) were pooled, and meta-regression was used to assess the relationships between outcomes and between trial arm HbA1c reductions. RESULTS Twenty unique CVOTs (six SGLT-2is, nine GLP-1RAs, five DPP-4is), based on 169 513 participants with T2D, were eligible. Comparing SGLT-2is, GLP-1RAs and DPP-4is with placebo, the hazard ratios (95% CIs) for 3-point major adverse cardiovascular events were 0.88 (0.82-0.94), 0.85 (0.79-0.92) and 1.00 (0.94-1.06), respectively. SGLT-2is and GLP-1RAs consistently reduced the risk of several macrovascular and microvascular complications, particularly kidney events. DPP-4is showed no macrovascular benefits. There was potential evidence of an inverse linear relationship between HbA1c reduction and 3-point major adverse cardiovascular event risk (estimated risk per 1% reduction in HbA1c: 0.84, 95% CI 0.67-1.06; p = .14; R2 = 14.2%), which was driven by the component of non-fatal stroke (R2 = 100.0%; p = .094). There were non-significant inverse linear relationships between HbA1c reduction and the risk of several vascular outcomes. CONCLUSIONS SGLT-2is and GLP-1RAs showed consistent risk reductions in macrovascular and microvascular outcomes. The vascular benefits of SGLT-2is and GLP-1RAs in patients with T2D extend beyond mere glycaemic control.
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Affiliation(s)
- Setor K Kunutsor
- Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, UK
- Diabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester, UK
- NIHR Leicester Biomedical Research Centre, Leicester General Hospital, Leicester, UK
| | - Francesco Zaccardi
- Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, UK
- Diabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester, UK
- NIHR Leicester Biomedical Research Centre, Leicester General Hospital, Leicester, UK
| | - Victoria G Balasubramanian
- Diabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester, UK
- College of Life Sciences, University of Leicester, Leicester, UK
| | - Clare L Gillies
- Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, UK
- Diabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester, UK
- NIHR Leicester Biomedical Research Centre, Leicester General Hospital, Leicester, UK
| | - Vanita R Aroda
- Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Samuel Seidu
- Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, UK
- Diabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester, UK
- NIHR Leicester Biomedical Research Centre, Leicester General Hospital, Leicester, UK
| | - Melanie J Davies
- Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, UK
- Diabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester, UK
- NIHR Leicester Biomedical Research Centre, Leicester General Hospital, Leicester, UK
| | - Kamlesh Khunti
- Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, UK
- Diabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester, UK
- NIHR Leicester Biomedical Research Centre, Leicester General Hospital, Leicester, UK
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10
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Scheen AJ. Cardiovascular protection significantly depends on HbA1c improvement with GLP-1RAs but not with SGLT2 is in type 2 diabetes: A narrative review. DIABETES & METABOLISM 2024; 50:101508. [PMID: 38158077 DOI: 10.1016/j.diabet.2023.101508] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Accepted: 12/26/2023] [Indexed: 01/03/2024]
Abstract
BACKGROUND Glucagon-like peptide-1 receptor agonists (GLP-1RAs) and sodium-glucose cotransporter 2 inhibitors (SGLT2is), while developed as antihyperglycaemic medications for the treatment of type 2 diabetes, have proven to reduce major cardiovascular adverse events (MACEs) and hospitalization for heart failure (especially for SGLT2is) in dedicated cardiovascular outcome trials. The contribution of the glucose-lowering effect in the cardiovascular protection is uncertain and may differ between the two drug classes. METHODS This narrative review compares the relative effects of glycated hemoglobin (HbA1c) reduction on the cardiovascular protection provided by GLP-1RAs and SGLT2is in placebo-controlled cardiovascular outcome trials by using the results of either post-hoc mediation analyses or meta-regression studies. RESULTS Both mediation and meta-regression analyses suggest that the lower cardiovascular risk with GLP-1RAs partially but substantially tracks with their glucose-lowering effect, especially when considering the reduction in nonfatal strokes. In contrast, similar analyses fail to demonstrate any significant contribution of the glucose-lowering effect with SGLT2is, not only on MACEs but also on heart failure issues. CONCLUSION The contribution of improved glucose control in cardiovascular protection is limited, but is much greater for GLP-1RAs than for SGLT2is. Of note, such mediation or meta-regression analyses are exploratory and can only be viewed as hypothesis generating.
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Affiliation(s)
- André J Scheen
- Division of Clinical Pharmacology, Centre for Interdisciplinary Research on Medicines (CIRM), Liège University, Liège, Belgium; Division of Diabetes, Nutrition and Metabolic Disorders, CHU Liège, Liège, Belgium.
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11
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Arnold F, Kappes J, Rottmann FA, Westermann L, Welte T. HbA1c-dependent projection of long-term renal outcomes. J Intern Med 2024; 295:206-215. [PMID: 37925625 DOI: 10.1111/joim.13736] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/05/2023]
Abstract
BACKGROUND Diabetes mellitus is a major risk factor for the development of chronic kidney disease (CKD). There is limited data addressing the value of glycated hemoglobin (HbA1c) to predict renal outcomes independent of diabetes status. METHODS This single-center retrospective observational study presents data of 19,285 subjects, irrespective of initial CKD or diabetes status. The primary endpoint was defined as the time to manifestation of moderate CKD (estimated glomerular filtration rate [eGFR] <60 mL/min/1.73 m2 ) in subjects with eGFR ≥60 mL/min/1.73 m2 at baseline. The secondary endpoint was defined as time to progression of CKD (eGFR <30 mL/min/1.73 m2 ) in subjects with eGFR 30-60 mL/min/1.73 m2 . Multivariate time-to-event and logistic regression models were applied to estimate the influences of HbA1c, sex, age, eGFR, triglycerides, and cholesterol on both endpoints. RESULTS Lowest baseline HbA1c levels were associated with the slowest decline of kidney function (median time to manifestation of moderate CKD for HbA1c <5.7%: 15.9 years [95% confidence interval (CI): 15.2-16.7]; for HbA1c 5.7%-6.5%: 14.5 years [95% CI: 14.0-15.1]; for HbA1c 6.5%-8.5%: 11.1 years [95% CI: 10.4-11.7]; for HbA1c >8.5%: 8.3 years [95% CI: 7.8-9.2]; p < 0.001). Similar results were observed for the secondary endpoint. Covariate-adjusted time-to-event analysis demonstrated an almost linear correlation between continuous baseline HbA1c levels and the probabilities of reaching both endpoints. CONCLUSIONS HbA1c levels are a strong predictor for eGFR decline, irrespective of diabetes status or CKD stage, demonstrating a tight concentration-dependent relationship. This association becomes apparent in the prediabetic HbA1c range and remains constant over the entire HbA1c spectrum.
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Affiliation(s)
- Frederic Arnold
- Department of Medicine IV, Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- Institute for Microbiology and Hygiene, Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Julia Kappes
- Department of Medicine V, Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Felix A Rottmann
- Department of Medicine IV, Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Lukas Westermann
- Department of Medicine IV, Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Thomas Welte
- Department of Medicine IV, Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany
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12
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He HM, Wang Z, Xie YY, Zheng SW, Li J, Li XX, Jiao SQ, Yang FR, Sun YH. Maximum stress hyperglycemia ratio within the first 24 h of admission predicts mortality during and after the acute phase of acute coronary syndrome in patients with and without diabetes: A retrospective cohort study from the MIMIC-IV database. Diabetes Res Clin Pract 2024; 208:111122. [PMID: 38307141 DOI: 10.1016/j.diabres.2024.111122] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Revised: 01/16/2024] [Accepted: 01/28/2024] [Indexed: 02/04/2024]
Abstract
AIMS The stress hyperglycemia ratio (SHR) is significantly associated with short-term adverse cardiovascular events. However, the association between SHR and mortality after the acute phase of acute coronary syndrome (ACS) remains controversial. METHODS This study used data from the Medical Information Mart for Intensive Care-IV database. Patients with ACS hospitalized in the intensive care unit (ICU) were retrospectively enrolled. RESULTS A total of 2668 ACS patients were enrolled. The incidence of in-hospital and 1-year mortality was 4.7 % and 13.2 %, respectively. The maximum SHR had a higher prognostic value for predicting both in-hospital and 1-year mortality than the first SHR. Adding the maximum SHR to the SOFA score could significantly improve the prognostic prediction. In the landmark analysis at 30 days, the maximum SHR was a risk factor for mortality within 30 days regardless of whether patients had diabetes. However, it was no longer associated with mortality after 30 days in patients with diabetes after adjustment (HR = 1.237 per 1-point increment, 95 % CI 0.854-1.790). CONCLUSIONS The maximum SHR was significantly associated with mortality in patients with ACS hospitalized in the ICU. However, caution is warranted if it is used for predicting mortality after 30 days in patients with diabetes.
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Affiliation(s)
- Hao-Ming He
- Department of Cardiology, China-Japan Friendship Hospital (Institute of Clinical Medical Sciences), Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Zhe Wang
- Department of Cardiology, China-Japan Friendship Hospital (Institute of Clinical Medical Sciences), Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Ying-Ying Xie
- Department of Cardiology, China-Japan Friendship Hospital (Institute of Clinical Medical Sciences), Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Shu-Wen Zheng
- Department of Cardiology, Beijing University of Chinese Medicine School of Traditional Chinese Medicine, Beijing, China
| | - Jie Li
- Department of Cardiology, China-Japan Friendship Hospital (Institute of Clinical Medical Sciences), Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Xue-Xi Li
- Department of Cardiology, China-Japan Friendship Hospital (Institute of Clinical Medical Sciences), Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Si-Qi Jiao
- Department of Cardiology, Peking University China-Japan Friendship School of Clinical Medicine, Beijing, China
| | - Fu-Rong Yang
- Department of Cardiology, Beijing University of Chinese Medicine School of Traditional Chinese Medicine, Beijing, China
| | - Yi-Hong Sun
- Department of Cardiology, China-Japan Friendship Hospital (Institute of Clinical Medical Sciences), Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
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13
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Verma S, Mudaliar S, Greasley PJ. Potential Underlying Mechanisms Explaining the Cardiorenal Benefits of Sodium-Glucose Cotransporter 2 Inhibitors. Adv Ther 2024; 41:92-112. [PMID: 37943443 PMCID: PMC10796581 DOI: 10.1007/s12325-023-02652-5] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Accepted: 08/17/2023] [Indexed: 11/10/2023]
Abstract
There is a bidirectional pathophysiological interaction between the heart and the kidneys, and prolonged physiological stress to the heart and/or the kidneys can cause adverse cardiorenal complications, including but not limited to subclinical cardiomyopathy, heart failure and chronic kidney disease. Whilst more common in individuals with Type 2 diabetes, cardiorenal complications also occur in the absence of diabetes. Sodium-glucose cotransporter 2 inhibitors (SGLT2i) were initially approved to reduce hyperglycaemia in patients with Type 2 diabetes. Recently, these agents have been shown to significantly improve cardiovascular and renal outcomes in patients with and without Type 2 diabetes, demonstrating a robust reduction in hospitalisation for heart failure and reduced risk of progression of chronic kidney disease, thus gaining approval for use in treatment of heart failure and chronic kidney disease. Numerous potential mechanisms have been proposed to explain the cardiorenal effects of SGLT2i. This review provides a simplified summary of key potential cardiac and renal mechanisms underlying the cardiorenal benefits of SGT2i and explains these mechanisms in the clinical context. Key mechanisms related to the clinical effects of SGLT2i on the heart and kidneys explained in this publication include their impact on (1) tissue oxygen delivery, hypoxia and resultant ischaemic injury, (2) vascular health and function, (3) substrate utilisation and metabolic health and (4) cardiac remodelling. Knowing the mechanisms responsible for SGLT2i-imparted cardiorenal benefits in the clinical outcomes will help healthcare practitioners to identify more patients that can benefit from the use of SGLT2i.
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Affiliation(s)
- Subodh Verma
- Division of Cardiac Surgery, Keenan Research Centre for Biomedical Science, Li Ka Shing Knowledge Institute of St. Michael's Hospital, Toronto, ON, Canada.
- Department of Surgery, University of Toronto, Toronto, ON, Canada.
- Department of Pharmacology and Toxicology, University of Toronto, Toronto, ON, Canada.
| | - Sunder Mudaliar
- Endocrinology/Diabetes Section, Veterans Affairs Medical Centre, San Diego, CA, USA
- Department of Medicine, University of California, San Diego, CA, USA
| | - Peter J Greasley
- Early Discovery and Development, Cardiovascular, Renal and Metabolism, BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden
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Cheng Y, Zou J, Chu R, Wang D, Tian J, Sheng CS. Cumulative HbA1c exposure as a CVD risk in patients with type 2 diabetes: A post hoc analysis of ACCORD trial. Diabetes Res Clin Pract 2023; 206:111009. [PMID: 37952600 DOI: 10.1016/j.diabres.2023.111009] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Revised: 10/02/2023] [Accepted: 11/09/2023] [Indexed: 11/14/2023]
Abstract
AIMS The study aimed to investigate the relationship between cumulative HbA1c exposure and cardiovascular events in patients with type 2 diabetes (T2D). METHODS This study included 9307 participants from the Action to Control Cardiovascular Risk in Diabetes (ACCORD) trial. Cumulative HbA1c exposure was calculated as the area under the curve during exposure time. RESULTS After adjusting for covariates, a 1-SD increase in cumulative HbA1c exposure was significantly associated with a higher risk of the primary outcome (HR 1.32, 95 % CI: 1.22-1.43, P < 0.001), all-cause mortality (HR 1.33, 95 % CI: 1.21-1.46, P < 0.001), and cardiovascular death (HR 1.45, 95 % CI: 1.27-1.67, P < 0.001). These associations were independent of baseline HbA1c and the first HbA1c level after enrollment. Cross-tabulation analysis showed that participants in the intensive-therapy group with high baseline HbA1c and cumulative HbA1c exposure had a significantly higher risk of primary outcome, all-cause mortality and cardiovascular death. CONCLUSIONS Higher cumulative HbA1c exposure was significantly associated with an increased risk of the primary outcome, all-cause mortality and cardiovascular death among T2D patients. Patients with T2D should strive for stable glycemic control to reduce their risk of cardiovascular events, and that those with high baseline HbA1c may require more intensive therapy to achieve this goal.
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Affiliation(s)
- Yi Cheng
- Department of Cardiovascular Medicine, Center for Epidemiological Studies and Clinical Trials and Center for Vascular Evaluation, Shanghai Key Lab of Hypertension, Shanghai Institute of Hypertension, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Jun Zou
- Department of Nephrology, Xin Hua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Rui Chu
- Department of General Practice of Waigang Community Health Service Center of Jiading District, Shanghai, China
| | - Dan Wang
- Department of Cardiovascular Medicine, Center for Epidemiological Studies and Clinical Trials and Center for Vascular Evaluation, Shanghai Key Lab of Hypertension, Shanghai Institute of Hypertension, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Jingyan Tian
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Chang-Sheng Sheng
- Department of Cardiovascular Medicine, Center for Epidemiological Studies and Clinical Trials and Center for Vascular Evaluation, Shanghai Key Lab of Hypertension, Shanghai Institute of Hypertension, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
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15
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Lin Z, He X, Lin M, Chen L. Triglyceride-glucose index on risk of adverse events after drug-coated balloon angioplasty. Lipids Health Dis 2023; 22:184. [PMID: 37898751 PMCID: PMC10613374 DOI: 10.1186/s12944-023-01951-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Accepted: 10/18/2023] [Indexed: 10/30/2023] Open
Abstract
BACKGROUND The pathogenetic mechanism of atherosclerotic cardiovascular diseases is associated with insulin resistance (IR), which serves as a metabolic risk factor. As a novel indication for IR, triglyceride-glucose (TyG) index may predict cardiovascular disease outcomes. METHODS In current study, a cohort of 157 individuals with newly developed de novo lesions who received DCB angioplasty between January 2017 and May 2021 were included. The midterm follow-up clinical results consisted of the presence of vessel-oriented composite endpoint (VOCE). The baseline TyG index was divided into three groups by tertiles. This study compared various clinical characteristics and parameters among different groups during DCB angioplasty. A multivariate Cox regression model was built to investigate the potential predictors. RESULTS Higher TyG index indicated an increased risk of VOCE according to the adjusted model (HR = 4.0, 95%Cl: 1.0-15.4, P = 0.047). A non-linear correlation was uncovered between the index and VOCE from the smooth curve. Based on Kaplan-Meier curve, individuals in the highest TyG index group were more likely to develop VOCE (P < 0.05 for log-rank). CONCLUSIONS The incidence of VOCE was shown to be independently and positively correlated with an elevated TyG index in individuals with de novo coronary lesions who received DCB angioplasty.
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Affiliation(s)
- Zhaorong Lin
- Department of Cardiology, Fujian Medical Center for Cardiovascular Diseases, Fujian Institute of Coronary Heart Disease, Fujian Medical University Union Hospital, NO.29, Xinquan Road, Fuzhou City, 350001, Fujian Province, China
| | - Xi He
- Department of Cardiology, Fujian Medical Center for Cardiovascular Diseases, Fujian Institute of Coronary Heart Disease, Fujian Medical University Union Hospital, NO.29, Xinquan Road, Fuzhou City, 350001, Fujian Province, China
| | - Maosen Lin
- Department of Cardiology, Fujian Medical Center for Cardiovascular Diseases, Fujian Institute of Coronary Heart Disease, Fujian Medical University Union Hospital, NO.29, Xinquan Road, Fuzhou City, 350001, Fujian Province, China
| | - Lianglong Chen
- Department of Cardiology, Fujian Medical Center for Cardiovascular Diseases, Fujian Institute of Coronary Heart Disease, Fujian Medical University Union Hospital, NO.29, Xinquan Road, Fuzhou City, 350001, Fujian Province, China.
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16
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Cheng MD, Tang JN, Liu ZY, Guo QQ, Zhang JC, Zhang ZL, Song FH, Wang K, Jiang LZ, Fan L, Yue XT, Bai Y, Dai XY, Zheng RJ, Zheng YY, Zhang JY. Association of hemoglobin glycation index with prognosis of coronary artery disease after percutaneous coronary intervention: A retrospective cohort study. Diab Vasc Dis Res 2023; 20:14791641231193306. [PMID: 37561132 PMCID: PMC10416663 DOI: 10.1177/14791641231193306] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/11/2023] Open
Abstract
AIMS To analyze the association between hemoglobin glycation index (HGI) and the long-term prognosis of patients with coronary artery disease (CAD) after percutaneous coronary intervention (PCI). METHODS Predicted glycated hemoglobin (HbA1c) level was calculated using an established formula and HGI represented the difference between laboratory measured HbA1c and predicted HbA1c. A total of 1780 patients were stratified into three subgroups (HGI < -0.4, -0.4 ≦ HGI < 0.12 and HGI ≧ 0.12). The primary endpoints included all-cause mortality (ACM) and cardiac mortality (CM). The secondary endpoints were major adverse cardiac events (MACEs) and major adverse cardiac and cerebrovascular events (MACCEs). RESULTS ACM occurred in 54 patients: 22 (3.7) in the low-HGI subgroup, 8 (1.3) in the moderate-HGI subgroup and 24 (4.1) in the high-HGI subgroup (p = .012). After adjusting for the traditional clinical prognostic factors, multivariate Cox regression analysis showed that patients in both the low and high HGI subgroups had significantly increased risk of ACM as compared with patients in the moderate HGI subgroup (hazard ratio [HR] = 4.979, 95% confidence interval [CI]: 1.865-13.297, p = .001 and HR = 2.918, 95% CI: 1.075-7.922, p = .036). However, we did not find significant differences in the incidence of CM, MACEs and MACCEs. CONCLUSION HGI can predicts risk for long-term mortality in patients undergoing PCI. This index could be helpful for the effective clinical management of the CAD population.
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Affiliation(s)
- Meng-Die Cheng
- Department of Cardiology, Key Laboratory of Cardiac Injury and Repair of Henan Province, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Jun-Nan Tang
- Department of Cardiology, Key Laboratory of Cardiac Injury and Repair of Henan Province, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Zhi-Yu Liu
- Department of Cardiology, Key Laboratory of Cardiac Injury and Repair of Henan Province, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Qian-Qian Guo
- Department of Cardiology, Key Laboratory of Cardiac Injury and Repair of Henan Province, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Jian-Chao Zhang
- Department of Cardiology, Key Laboratory of Cardiac Injury and Repair of Henan Province, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Zeng-Lei Zhang
- Department of Cardiology, Key Laboratory of Cardiac Injury and Repair of Henan Province, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Feng-Hua Song
- Department of Cardiology, Key Laboratory of Cardiac Injury and Repair of Henan Province, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Kai Wang
- Department of Cardiology, Key Laboratory of Cardiac Injury and Repair of Henan Province, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Li-Zhu Jiang
- Department of Cardiology, Key Laboratory of Cardiac Injury and Repair of Henan Province, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Lei Fan
- Department of Cardiology, Key Laboratory of Cardiac Injury and Repair of Henan Province, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Xiao-Ting Yue
- Department of Cardiology, Key Laboratory of Cardiac Injury and Repair of Henan Province, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yan Bai
- Department of Cardiology, Key Laboratory of Cardiac Injury and Repair of Henan Province, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Xin-Ya Dai
- Department of Cardiology, Key Laboratory of Cardiac Injury and Repair of Henan Province, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Ru-Jie Zheng
- Department of Cardiology, Key Laboratory of Cardiac Injury and Repair of Henan Province, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Ying-Ying Zheng
- Department of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Jin-Ying Zhang
- Department of Cardiology, Key Laboratory of Cardiac Injury and Repair of Henan Province, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
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Chen J, Yin D, Dou K. Intensified glycemic control by HbA1c for patients with coronary heart disease and Type 2 diabetes: a review of findings and conclusions. Cardiovasc Diabetol 2023; 22:146. [PMID: 37349787 PMCID: PMC10288803 DOI: 10.1186/s12933-023-01875-8] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Accepted: 06/02/2023] [Indexed: 06/24/2023] Open
Abstract
The occurrence and development of coronary heart disease (CHD) are closely linked to fluctuations in blood glucose levels. While the efficacy of intensified treatment guided by HbA1c levels remains uncertain for individuals with diabetes and CHD, this review summarizes the findings and conclusions regarding HbA1c in the context of CHD. Our review showed a curvilinear correlation between regulated level of HbA1c and therapeutic effectiveness of intensified glycemic control among patients with type 2 diabetes and coronary heart disease. It is necessary to optimize the dynamic monitoring indicators of HbA1c, combine genetic profiles, haptoglobin phenotypes for example and select more suitable hypoglycemic drugs to establish more appropriate glucose-controlling guideline for patients with CHD at different stage of diabetes.
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Affiliation(s)
- Jingyang Chen
- Cardiometabolic Medicine Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037 China
| | - Dong Yin
- Cardiometabolic Medicine Center, Department of Cardiology, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037 China
| | - Kefei Dou
- Cardiometabolic Medicine Center, Department of Cardiology, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037 China
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Neumiller JJ, Alicic RZ, Tuttle KR. Incorporating Evidence and Guidelines for Personalized Care of Diabetes and Chronic Kidney Disease. Semin Nephrol 2023; 43:151427. [PMID: 37857231 DOI: 10.1016/j.semnephrol.2023.151427] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2023]
Abstract
Chronic kidney disease (CKD) represents a particularly challenging diabetes complication. Diabetes now is responsible for half of all cases of CKD, thus making diabetes the most common cause of kidney failure worldwide. In patients with diabetes, CKD frequently coexists with heart failure and atherosclerotic cardiovascular disease, which together are associated with marked increases in the risk of cardiovascular and all-cause mortality. Fortunately, new therapeutic agents from several classes now are available with proven benefits for kidney and heart protection when used in patients with type 2 diabetes and CKD. Agents from the sodium-glucose cotransporter-2 inhibitor, glucagon-like peptide-1-receptor agonist, and nonsteroidal mineralocorticoid-receptor antagonist classes now are considered standard of care to improve kidney, heart, and overall survival outcomes in patients with type 2 diabetes. Efforts to educate health care providers on the benefits of these therapies are critically needed to help increase their utilization and improve clinical outcomes. Care decisions should be driven by a holistic view of patient priorities and goals with consideration of a multimodal therapeutic approach to maximize heart and kidney benefits.
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Affiliation(s)
- Joshua J Neumiller
- Department of Pharmacotherapy, College of Pharmacy and Pharmaceutical Sciences, Washington State University, Spokane, WA; Providence Medical Research Center, Providence Inland Northwest Health, Spokane, WA.
| | - Radica Z Alicic
- Providence Medical Research Center, Providence Inland Northwest Health, Spokane, WA; Department of Medicine, University of Washington School of Medicine, Seattle, WA
| | - Katherine R Tuttle
- Providence Medical Research Center, Providence Inland Northwest Health, Spokane, WA; Department of Medicine, University of Washington School of Medicine, Seattle, WA; Nephrology Division, Kidney Research Institute, Institute of Translational Health Sciences, University of Washington, Seattle, WA
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19
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Moroney M, Verma R, Hibino M, Mazer CD, Connelly KA, Yan AT, Quan A, Teoh H, Verma S, Puar P. Impact of diabetes duration on left ventricular mass regression with empagliflozin. ESC Heart Fail 2023; 10:2134-2140. [PMID: 37038614 DOI: 10.1002/ehf2.14357] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Revised: 02/08/2023] [Accepted: 02/19/2023] [Indexed: 04/12/2023] Open
Abstract
AIMS The duration of type 2 diabetes mellitus (T2DM) is an important determinant of diabetes severity. The EMPA-HEART CardioLink-6 trial reported significant left ventricular (LV) mass indexed to body surface area (LVMi) regression in patients treated with the sodium-glucose cotransporter 2 inhibitor (SGLT2i) empagliflozin for 6 months. This exploratory sub-analysis of the same trial investigated the association between T2DM duration and LVMi regression. METHODS AND RESULTS A total of 97 individuals with T2DM and coronary artery disease (CAD) were randomly assigned to receive empagliflozin 10 mg daily or placebo. LVMi was measured at the baseline and 6 month visit using cardiac magnetic resonance imaging. The study population was divided into those with a baseline T2DM duration <10 years (n = 40) or ≥10 years (n = 57). A linear model adjusting for baseline values in each of the subgroups (ANCOVA) was used to assess the treatment effect of 6 month change in LVMi, LV end systolic volume indexed to body surface area, LV end diastolic volume indexed to body surface area and LV ejection fraction. Patients in the T2DM duration <10 years group (38 males [95.0%], median age 63 [IQR: 55 years to 70 years]) had a median T2DM duration of 4 years (IQR: 2.0 years to 7.0 years). Those in the T2DM duration ≥10 years group (52 males [91.2%], median age 65 [IQR: 57 years to 71 years]) had a median duration of 15 years (IQR: 12 years to 20 years). There was no significant difference in baseline LVMi according to T2DM duration (median 62 g/m2 [IQR: 53.1 g/m2 to 70.0 g/m2 ] for T2DM duration <10 years; median 57.5 g/m2 [IQR: 52.1 g/m2 to 66.2 g/m2 ] for T2DM duration ≥10 years; P = 0.11). Empagliflozin was associated with reductions in LVMi irrespective of duration of T2DM above and below 10 years (T2DM duration <10 years group, mean adjusted difference -2.90 g/m2 [95% CI: -6.64 g/m2 to 0.84 g/m2 ]; T2DM duration ≥10 years group, mean adjusted difference -3.69 g/m2 [95% CI: -0.14 g/m2 to -7.24 g/m2 ]; Pinteraction = 0.07). CONCLUSIONS In the EMPA-HEART CardioLink-6 trial, empagliflozin treatment was associated with reductions in LVMi in people with T2DM and CAD irrespective of the duration of diabetes assessed categorically above and below 10 years.
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Affiliation(s)
- Michael Moroney
- Division of Cardiac Surgery, St. Michael's Hospital of Unity Health Toronto, Toronto, Ontario, Canada
- School of Medicine, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Raj Verma
- Division of Cardiac Surgery, St. Michael's Hospital of Unity Health Toronto, Toronto, Ontario, Canada
- School of Medicine, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Makoto Hibino
- Division of Cardiothoracic Surgery, Emory University School of Medicine, Atlanta, Georgia, USA
| | - C David Mazer
- Department of Anesthesia, St. Michael's Hospital of Unity Health Toronto, Toronto, Ontario, Canada
- Li Ka Shing Knowledge Institute of St. Michael's Hospital, Toronto, Ontario, Canada
- Department of Anesthesiology and Pain Medicine, University of Toronto, Toronto, Ontario, Canada
- Department of Physiology, University of Toronto, Toronto, Ontario, Canada
| | - Kim A Connelly
- Li Ka Shing Knowledge Institute of St. Michael's Hospital, Toronto, Ontario, Canada
- Department of Physiology, University of Toronto, Toronto, Ontario, Canada
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
- Division of Cardiology, St. Michael's Hospital of Unity Health Toronto, Toronto, Ontario, Canada
| | - Andrew T Yan
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
- Division of Cardiology, St. Michael's Hospital of Unity Health Toronto, Toronto, Ontario, Canada
| | - Adrian Quan
- Division of Cardiac Surgery, St. Michael's Hospital of Unity Health Toronto, Toronto, Ontario, Canada
- Li Ka Shing Knowledge Institute of St. Michael's Hospital, Toronto, Ontario, Canada
| | - Hwee Teoh
- Division of Cardiac Surgery, St. Michael's Hospital of Unity Health Toronto, Toronto, Ontario, Canada
- Li Ka Shing Knowledge Institute of St. Michael's Hospital, Toronto, Ontario, Canada
- Division of Endocrinology and Metabolism, St. Michael's Hospital of Unity Health Toronto, Toronto, Ontario, Canada
| | - Subodh Verma
- Division of Cardiac Surgery, St. Michael's Hospital of Unity Health Toronto, Toronto, Ontario, Canada
- Li Ka Shing Knowledge Institute of St. Michael's Hospital, Toronto, Ontario, Canada
- Department of Surgery, University of Toronto, Toronto, Ontario, Canada
- Department of Pharmacology and Toxicology, University of Toronto, Toronto, Ontario, Canada
| | - Pankaj Puar
- Division of Cardiac Surgery, St. Michael's Hospital of Unity Health Toronto, Toronto, Ontario, Canada
- Department of Pharmacology and Toxicology, University of Toronto, Toronto, Ontario, Canada
- Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
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20
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Lan Z, Ding X, Yu Y, Yu L, Yang W, Dai X, Ling R, Wang Y, Yang W, Zhang J. CT-derived fractional flow reserve for prediction of major adverse cardiovascular events in diabetic patients. Cardiovasc Diabetol 2023; 22:65. [PMID: 36944990 PMCID: PMC10032006 DOI: 10.1186/s12933-023-01801-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Accepted: 03/13/2023] [Indexed: 03/23/2023] Open
Abstract
OBJECTIVES To investigate the prognostic value of computed tomography fractional flow reserve (CT-FFR) in patients with diabetes and to establish a risk stratification model for major adverse cardiac event (MACE). METHODS Diabetic patients with intermediate pre-test probability of coronary artery disease were prospectively enrolled. All patients were referred for coronary computed tomography angiography and followed up for at least 2 years. In the training cohort comprising of 957 patients, two models were developed: model1 with the inclusion of clinical and conventional imaging parameters, model2 incorporating the above parameters + CT-FFR. An internal validation cohort comprising 411 patients and an independent external test cohort of 429 patients were used to validate the proposed models. RESULTS 1797 patients (mean age: 61.0 ± 7.0 years, 1031 males) were finally included in the present study. MACE occurred in 7.18% (129/1797) of the current cohort during follow- up. Multivariate Cox regression analysis revealed that CT-FFR ≤ 0.80 (hazard ratio [HR] = 4.534, p < 0.001), HbA1c (HR = 1.142, p = 0.015) and low attenuation plaque (LAP) (HR = 3.973, p = 0.041) were the independent predictors for MACE. In the training cohort, the Log-likelihood test showed statistical significance between model1 and model2 (p < 0.001). The C-index of model2 was significantly larger than that of model1 (C-index = 0.82 [0.77-0.87] vs. 0.80 [0.75-0.85], p = 0.021). Similar findings were found in internal validation and external test cohorts. CONCLUSION CT-FFR was a strong independent predictor for MACE in diabetic cohort. The model incorporating CT-FFR, LAP and HbA1c yielded excellent performance in predicting MACE.
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Affiliation(s)
- Ziting Lan
- Department of Radiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, #85 Wujin Rd, Shanghai, 200080, China
| | - Xiaoying Ding
- Department of Endocrinology and Metabolism, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, #85 Wujin Rd, Shanghai, China
| | - Yarong Yu
- Department of Radiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, #85 Wujin Rd, Shanghai, 200080, China
| | - Lihua Yu
- Department of Radiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, #85 Wujin Rd, Shanghai, 200080, China
| | - Wenli Yang
- Department of Radiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, #85 Wujin Rd, Shanghai, 200080, China
| | - Xu Dai
- Institute of Diagnostic and Interventional Radiology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, #600, Yishan Rd, Shanghai, China
| | - Runjianya Ling
- Institute of Diagnostic and Interventional Radiology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, #600, Yishan Rd, Shanghai, China
| | - Yufan Wang
- Department of Endocrinology and Metabolism, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, #85 Wujin Rd, Shanghai, China
| | - Wenyi Yang
- Department of Cardiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, #85 Wujin Rd, Shanghai, China.
| | - Jiayin Zhang
- Department of Radiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, #85 Wujin Rd, Shanghai, 200080, China.
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21
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Pollack R, Raz I, Wiviott SD, Goodrich EL, Murphy SA, Yanuv I, Rozenberg A, Mosenzon O, Langkilde AM, Gause-Nilsson IAM, Bhatt DL, Leiter LA, McGuire DK, Wilding JPH, Sabatine MS, Cahn A. Efficacy and Safety of Dapagliflozin by Baseline Insulin Regimen and Dose: Post Hoc Analyses From DECLARE-TIMI 58. Diabetes Care 2023; 46:156-164. [PMID: 36399721 DOI: 10.2337/dc22-1318] [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: 07/05/2022] [Accepted: 10/13/2022] [Indexed: 11/19/2022]
Abstract
OBJECTIVE The cardiorenal benefits of adding sodium-glucose cotransporter 2 (SGLT2) inhibitor therapy for patients on insulin, particularly those on intensive regimens that include short-acting (SA) insulin, have not been explored. RESEARCH DESIGN AND METHODS In Dapagliflozin Effect on Cardiovascular Events trial (DECLARE-TIMI 58), 17,160 patients with type 2 diabetes were randomized to dapagliflozin or placebo for a median follow-up of 4.2 years. Cardiovascular (CV), renal, metabolic, and safety outcomes with dapagliflozin versus placebo by insulin dose and regimen were studied with Cox regression models. RESULTS The study included 7,013 insulin users at baseline, with 4,650 (66.3%) patients on regimens including SA insulin. Insulin doses varied, with 2,443 (34.8%) patients receiving <0.5 IU/kg, 2,795 (39.9%) 0.5 to ≤1 IU/kg, and 1,339 (19.1%) >1 IU/kg. Dapagliflozin reduced CV death/hospitalization for heart failure among overall insulin users (hazard ratio [HR] 0.82 [95% CI 0.69-0.97]) and consistently in patients on insulin regimens with or without SA insulin (0.83 [0.67-1.03] and 0.78 [0.57-1.07], respectively, Pinteraction = 0.75). No heterogeneity was observed by insulin dose (Pinteraction = 0.43). The HR for major adverse CV events with dapagliflozin among insulin users (0.84 [0.74-0.97]) was similar irrespective of regimen or dose (Pinteraction = 0.75 and 0.07). Dapagliflozin reduced the rate of adverse renal outcomes overall and consistently across subgroups of insulin users. Decreases in HbA1c, weight, and systolic blood pressure with dapagliflozin were seen regardless of insulin dose or regimen. The known safety profile of dapagliflozin was unchanged in patients on intensive insulin regimens. CONCLUSIONS The benefits and safety of dapagliflozin were maintained in high-risk patients receiving high-dose or intensive insulin regimens including SA insulin.
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Affiliation(s)
- Rena Pollack
- Diabetes Unit, Department of Endocrinology and Metabolism, Hadassah Medical Center, Jerusalem, Israel
- Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
| | - Itamar Raz
- Diabetes Unit, Department of Endocrinology and Metabolism, Hadassah Medical Center, Jerusalem, Israel
- Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
| | - Stephen D Wiviott
- TIMI Study Group, Cardiovascular Division, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Erica L Goodrich
- TIMI Study Group, Cardiovascular Division, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Sabina A Murphy
- TIMI Study Group, Cardiovascular Division, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Ilan Yanuv
- Diabetes Unit, Department of Endocrinology and Metabolism, Hadassah Medical Center, Jerusalem, Israel
- Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
| | - Aliza Rozenberg
- Diabetes Unit, Department of Endocrinology and Metabolism, Hadassah Medical Center, Jerusalem, Israel
- Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
| | - Ofri Mosenzon
- Diabetes Unit, Department of Endocrinology and Metabolism, Hadassah Medical Center, Jerusalem, Israel
- Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
| | | | | | - Deepak L Bhatt
- Mount Sinai Heart, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Lawrence A Leiter
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, University of Toronto, Toronto, Canada
| | - Darren K McGuire
- Division of Cardiology, University of Texas Southwestern Medical Center, Dallas, TX
- Parkland Health and Hospital System, Dallas, TX
| | - John P H Wilding
- Department of Cardiovascular and Metabolic Medicine, University of Liverpool, Liverpool, U.K
| | - Marc S Sabatine
- TIMI Study Group, Cardiovascular Division, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Avivit Cahn
- Diabetes Unit, Department of Endocrinology and Metabolism, Hadassah Medical Center, Jerusalem, Israel
- Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
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22
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Bouclaous C, Azar LJ, Barmo N, Daher R, Tabaja J, El Hout G, Berika L. Levels and Correlates of Numeracy Skills in Lebanese Adults with Diabetes: A Cross-Sectional Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:10557. [PMID: 36078271 PMCID: PMC9517913 DOI: 10.3390/ijerph191710557] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Revised: 08/20/2022] [Accepted: 08/22/2022] [Indexed: 06/15/2023]
Abstract
Diabetes numeracy skills are required in the interpretation of food labels, insulin pump dosage, the interpretation of blood glucose meter data, and the determination of carbohydrate intake. This study assessed the levels and correlates of numeracy skills in Lebanese adults with diabetes to identify those most at risk of uncontrolled diabetes. In total, 299 adults with diabetes, mean age 47.4 ± 19.8 years, took the questionnaire. It consisted of self-developed items on sociodemographic and health-related factors, in addition to the Diabetes Numeracy Test-15 (DNT-15) and the Single Item Literacy Screener. Many participants (62%) scored < 10 on the DNT-15 indicating insufficient numeracy skills. DNT-15 scores were positively associated with literacy, exercise, healthy diet, perceived diabetes control, frequency of glycaemia measurement, ability to afford treatment, and ease of understanding information related to diabetes. Age, BMI, and complications were negatively correlated with DNT-15 score. Numeracy skills were higher in males, single individuals, and in people with type 1 diabetes, fewer complications, controlled HbA1c, higher income, higher education, a prior visit to a dietician, and ability to maintain personal care despite COVID-19. Interventions to strengthen numeracy skills would empower individuals with diabetes, lead to appropriate self-management behaviors, and prevent health complications in at-risk individuals.
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Affiliation(s)
- Carmel Bouclaous
- Gilbert and Rose-Marie Chagoury School of Medicine, Lebanese American University, Byblos P.O. Box 36, Lebanon
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23
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Typ-2-Diabetes: Bedeutung des HbA1c-Werts für kardiovaskuläres und renales Outcome. DIABETOL STOFFWECHS 2022. [DOI: 10.1055/a-1732-9866] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/16/2022]
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24
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Li L, Lip GYH, Li S, Adachi JD, Thabane L, Li G. Associations between glycated hemoglobin and the risks of incident cardiovascular diseases in patients with gout. Cardiovasc Diabetol 2022; 21:133. [PMID: 35841094 PMCID: PMC9284835 DOI: 10.1186/s12933-022-01567-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Accepted: 07/08/2022] [Indexed: 11/28/2022] Open
Abstract
BACKGROUND Evidence for the relationship between glycated hemoglobin (HbA1c) levels and risk of cardiovascular diseases (CVD) in patients with gout remained sparse and limited. This study aims to explore the associations between HbA1c levels and risks of incident CVD in patients with gout. METHODS We included patients with gout who had an HbA1c measurement at baseline from the UK Biobank. CVD events were identified from through medical and death records. We used multivariable Cox proportional hazards model with a restricted cubic spline to assess the potential non-linear effect of HbA1c on CVD risk. RESULTS We included a total of 6,685 patients (mean age 59.7; 8.1% females) with gout for analyses. During a mean follow-up of 7.3 years, there were 1,095 CVD events documented with an incidence of 2.26 events per 100 person-years (95% confidence interval [CI]: 2.13-2.40). A quasi J-shaped association between HbA1c and risk of CVD was observed, with the potentially lowest risk found at the HbA1c of approximately 5.0% (hazard ratio [HR] = 0.65, 95% CI: 0.53-0.81). When compared with the HbAlc level of 7%, a significantly decreased risk of CVD was found from 5.0 to 6.5%, while an increased risk was observed at 7.5% (HR = 1.05) and 8.0% (HR = 1.09). Subgroup analyses yielded similar results to the main findings in general. CONCLUSIONS Based on data from a nationwide, prospective, population-based cohort, we found a quasi J-shaped relationship between HbA1c and risk of CVD in patients with gout. More high-quality evidence is needed to further clarify the relationship between HbA1c and CVD risk in patients with gout.
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Affiliation(s)
- Likang Li
- Center for Clinical Epidemiology and Methodology (CCEM), Guangdong Second Provincial General Hospital, 510317, Guangzhou, China
| | - Gregory Y H Lip
- Liverpool Centre for Cardiovascular Science, University of Liverpool, Liverpool, UK.,Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Shuai Li
- Center for Clinical Epidemiology and Methodology (CCEM), Guangdong Second Provincial General Hospital, 510317, Guangzhou, China
| | | | - Lehana Thabane
- Department of Health Research Methods, Evidence, and Impact (HEI), McMaster University, 1280 Main St West, Hamilton, ON, L8S 4L8, Canada.,Centre for Evaluation of Medicines, St Joseph's Health Care, Hamilton, ON, Canada.,Faculty of Health Sciences, University of Johannesburg, Johannesburg, South Africa
| | - Guowei Li
- Center for Clinical Epidemiology and Methodology (CCEM), Guangdong Second Provincial General Hospital, 510317, Guangzhou, China. .,Department of Health Research Methods, Evidence, and Impact (HEI), McMaster University, 1280 Main St West, Hamilton, ON, L8S 4L8, Canada.
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25
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Wilson S, Mone P, Kansakar U, Jankauskas SS, Donkor K, Adebayo A, Varzideh F, Eacobacci M, Gambardella J, Lombardi A, Santulli G. Diabetes and restenosis. Cardiovasc Diabetol 2022; 21:23. [PMID: 35164744 PMCID: PMC8845371 DOI: 10.1186/s12933-022-01460-5] [Citation(s) in RCA: 59] [Impact Index Per Article: 19.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Accepted: 01/21/2022] [Indexed: 01/05/2023] Open
Abstract
Restenosis, defined as the re-narrowing of an arterial lumen after revascularization, represents an increasingly important issue in clinical practice. Indeed, as the number of stent placements has risen to an estimate that exceeds 3 million annually worldwide, revascularization procedures have become much more common. Several investigators have demonstrated that vessels in patients with diabetes mellitus have an increased risk restenosis. Here we present a systematic overview of the effects of diabetes on in-stent restenosis. Current classification and updated epidemiology of restenosis are discussed, alongside the main mechanisms underlying the pathophysiology of this event. Then, we summarize the clinical presentation of restenosis, emphasizing the importance of glycemic control in diabetic patients. Indeed, in diabetic patients who underwent revascularization procedures a proper glycemic control remains imperative.
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Affiliation(s)
- Scott Wilson
- Department of Medicine, Einstein Institute for Aging Research, Einstein-Mount Sinai Diabetes Research Center (ES-DRC), The Fleischer Institute for Diabetes and Metabolism (FIDAM), Albert Einstein College of Medicine, New York, NY, USA
| | - Pasquale Mone
- Department of Medicine, Einstein Institute for Aging Research, Einstein-Mount Sinai Diabetes Research Center (ES-DRC), The Fleischer Institute for Diabetes and Metabolism (FIDAM), Albert Einstein College of Medicine, New York, NY, USA
- Department of Molecular Pharmacology, Wilf Family Cardiovascular Research Institute, Institute for Neuroimmunology and Inflammation (INI),, Albert Einstein College of Medicine, New York, NY, USA
| | - Urna Kansakar
- Department of Medicine, Einstein Institute for Aging Research, Einstein-Mount Sinai Diabetes Research Center (ES-DRC), The Fleischer Institute for Diabetes and Metabolism (FIDAM), Albert Einstein College of Medicine, New York, NY, USA
- Department of Molecular Pharmacology, Wilf Family Cardiovascular Research Institute, Institute for Neuroimmunology and Inflammation (INI),, Albert Einstein College of Medicine, New York, NY, USA
| | - Stanislovas S Jankauskas
- Department of Medicine, Einstein Institute for Aging Research, Einstein-Mount Sinai Diabetes Research Center (ES-DRC), The Fleischer Institute for Diabetes and Metabolism (FIDAM), Albert Einstein College of Medicine, New York, NY, USA
- Department of Molecular Pharmacology, Wilf Family Cardiovascular Research Institute, Institute for Neuroimmunology and Inflammation (INI),, Albert Einstein College of Medicine, New York, NY, USA
| | - Kwame Donkor
- Department of Medicine, Einstein Institute for Aging Research, Einstein-Mount Sinai Diabetes Research Center (ES-DRC), The Fleischer Institute for Diabetes and Metabolism (FIDAM), Albert Einstein College of Medicine, New York, NY, USA
| | - Ayobami Adebayo
- Department of Medicine, Einstein Institute for Aging Research, Einstein-Mount Sinai Diabetes Research Center (ES-DRC), The Fleischer Institute for Diabetes and Metabolism (FIDAM), Albert Einstein College of Medicine, New York, NY, USA
| | - Fahimeh Varzideh
- Department of Medicine, Einstein Institute for Aging Research, Einstein-Mount Sinai Diabetes Research Center (ES-DRC), The Fleischer Institute for Diabetes and Metabolism (FIDAM), Albert Einstein College of Medicine, New York, NY, USA
- Department of Molecular Pharmacology, Wilf Family Cardiovascular Research Institute, Institute for Neuroimmunology and Inflammation (INI),, Albert Einstein College of Medicine, New York, NY, USA
| | - Michael Eacobacci
- Department of Medicine, Einstein Institute for Aging Research, Einstein-Mount Sinai Diabetes Research Center (ES-DRC), The Fleischer Institute for Diabetes and Metabolism (FIDAM), Albert Einstein College of Medicine, New York, NY, USA
| | - Jessica Gambardella
- Department of Molecular Pharmacology, Wilf Family Cardiovascular Research Institute, Institute for Neuroimmunology and Inflammation (INI),, Albert Einstein College of Medicine, New York, NY, USA
- International Translational Research and Medical Education (ITME) Consortium, Department of Advanced Biomedical Sciences, "Federico II" University, Naples, Italy
| | - Angela Lombardi
- Department of Medicine, Einstein Institute for Aging Research, Einstein-Mount Sinai Diabetes Research Center (ES-DRC), The Fleischer Institute for Diabetes and Metabolism (FIDAM), Albert Einstein College of Medicine, New York, NY, USA
| | - Gaetano Santulli
- Department of Medicine, Einstein Institute for Aging Research, Einstein-Mount Sinai Diabetes Research Center (ES-DRC), The Fleischer Institute for Diabetes and Metabolism (FIDAM), Albert Einstein College of Medicine, New York, NY, USA.
- Department of Molecular Pharmacology, Wilf Family Cardiovascular Research Institute, Institute for Neuroimmunology and Inflammation (INI),, Albert Einstein College of Medicine, New York, NY, USA.
- International Translational Research and Medical Education (ITME) Consortium, Department of Advanced Biomedical Sciences, "Federico II" University, Naples, Italy.
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