Diabetes Obesity and Metabolism, Journal Year: 2024, Volume and Issue: 27(2), P. 683 - 696
Published: Nov. 11, 2024
Metabolic dysfunction-associated steatotic liver disease (MASLD) and obesity increases risk of cardiovascular disease. This cohort study examines the prognostic value MASLD, across body weight categories, in a secondary preventative acute myocardial infarction (AMI) cohort.
Language: Английский
European Journal of Preventive Cardiology, Journal Year: 2024, Volume and Issue: unknown
Published: Sept. 13, 2024
Abstract Aims The prediction of future trends in cardiovascular disease (CVD) mortality and their risk factors can assist policy-makers healthcare planning. This study aims to project geospatial CVDs underlying from 2025 2050. Methods results Using historical data on disability-adjusted life years (DALYs) the Global Burden Disease (GBD) 2019 study, encompassing period 1990 2019, Poisson regression was performed model DALYs associated with CVD its Subgroup analysis based GBD super-regions. Between 2050, a 90.0% increase prevalence, 73.4% crude mortality, 54.7% are projected, an expected 35.6 million deaths 2050 (from 20.5 2025). However, age-standardized prevalence will be relatively constant (−3.6%), decreasing (−30.5%) (−29.6%). In ischaemic heart remain leading cause (20 deaths) while high systolic blood pressure main factor driving (18.9 deaths). Central Europe, Eastern Asia super-region is set incur highest rate (305 per 100 000 population). Conclusion coming decades, global suggests that net effect summative preventative efforts likely continue unchanged. fall reflects improvement medical care following diagnosis. systems expect rapid rise driven by ageing populace. continued burden largely attributed atherosclerotic diseases. Registration Not applicable.
Language: Английский
Citations
46
Diabetes Research and Clinical Practice, Journal Year: 2024, Volume and Issue: 211, P. 111652 - 111652
Published: April 2, 2024
Language: Английский
Citations
11
The Lancet Regional Health - Western Pacific, Journal Year: 2024, Volume and Issue: 49, P. 101138 - 101138
Published: July 10, 2024
Given the rapidly growing burden of cardiovascular disease (CVD) in Asia, this study forecasts CVD and associated risk factors Asia from 2025 to 2050.
Language: Английский
Citations
11
Cardiovascular Diabetology, Journal Year: 2025, Volume and Issue: 24(1)
Published: Feb. 7, 2025
Emerging evidence has demonstrated the unfavourable cardiovascular risk of individuals with lean type 2 diabetes mellitus (T2DM). Our study aims to investigate prognostic value T2DM in patients acute myocardial infarction (AMI), stratified by sex. The cohort examines clinical characteristics and long-term outcomes AMI, four phenotypes based on body category—lean T2DM, non-lean non-T2DM non-T2DM. primary outcome was all-cause mortality. Cox regression model constructed associations mortality, adjusted for age, ethnicity, previous AMI type, chronic kidney disease, angiotensin converting enzyme inhibitor or receptor blockers, beta-blockers, smoking status. A 9545 examined, a mean follow-up duration 3.4 ± 2.4 years. Majority had phenotype (40.4%), followed (29.8%), (15.9%), (13.9%). In group, one-quarter (N = 1324), while vast majority (74.5%) non-lean. Individuals tended be female older. Patients highest rates heart failure (23.3%, p < 0.001), cardiogenic shock (9.1%, 0.036), mortality (32.6%, 0.001). that an independent predictor (adjusted hazard ratio [aHR] 1.171, 95% CI 1.040–1.319, 0.009) after adjustment. presence higher following present males (aHR 1.201, 1.037–1.391, 0.015), but not females 1.066, 0.869–1.308, 0.538). T2DM. although this association stronger than females.
Language: Английский
Citations
1
The Lancet, Journal Year: 2025, Volume and Issue: unknown
Published: March 1, 2025
Language: Английский
Citations
1
Nutrition Reviews, Journal Year: 2024, Volume and Issue: 82(11), P. 1556 - 1593
Published: Jan. 12, 2024
Abstract Context Polyphenols are plant-based compounds with potential anti-inflammatory, antioxidant, and anti-obesogenic properties. However, their effects on health outcomes remain unclear. Objective To evaluate the of polyphenols anthropometric cardiometabolic markers. Data Sources Six electronic databases—namely, EMBASE, CINAHL, PubMed, Scopus, The Cochrane Library (reviews only), Web Science—were searched for relevant systematic reviews meta-analyses (SRMAs). Extraction Three reviewers performed data extraction via a data-extraction Microsoft Excel spreadsheet. Analysis An umbrella review meta-analysis existing SRMAs was conducted. Eighteen published from 2015 to 2023, representing 445 primary studies 838 unique effect sizes, were identified. Meta-analyses conducted using random-effects models general inverse variance. Polyphenol-containing foods found significantly improve weight (-0.36 kg; 95% confidence interval [CI]: −0.62, 0.77 P < 0.01, I2 = 64.9%), body mass index (−0.25 kg/m2; CI: −0.34, −0.17 0.001, 82.4%), waist circumference (−0.74 cm; −1.34, −0.15 99.3%), low-density-lipoprotein cholesterol (−1.75 mg/dL; −2.56, −0.94; 98.6%), total (−1.23 −2.00, −0.46; 0.002, 94.6%), systolic blood pressure (−1.77 mmHg; −1.77, −0.93 72.4%), diastolic (−1.45 −2.09, −0.80 61.0%), fat percentage (−0.70%; −1.03, −0.36%; 52.6%), fasting glucose (−0.18 −0.35, −0.01 0.04, 62.0%), C-reactive protein (CRP; including high-sensitivity-CRP [hs-CRP]) (−0.2972 −0.52, −0.08 87.9%). No significant changes high-density-lipoprotein (−0.12 −1.44, 0.69; 0.67, 89.4%) triglycerides (−1.29 −2.74, 0.16; 0.08, 85.4%). Between-study heterogeneity could be explained by polyphenol subclass differences. Conclusion findings this support beneficial metabolic markers, but discretion is warranted determine clinical significance magnitude biomarker improvements. Systematic Review Registration International Prospective Register Reviews no. CRD42023420206.
Language: Английский
Citations
6
Clinical Nutrition, Journal Year: 2024, Volume and Issue: 43(6), P. 1563 - 1583
Published: May 10, 2024
Language: Английский
Citations
5
Diabetes Obesity and Metabolism, Journal Year: 2024, Volume and Issue: 26(8), P. 3328 - 3338
Published: May 23, 2024
Abstract Aim Patients with metabolic dysfunction‐associated steatotic liver disease (MASLD) are at increased risk of incident cardiovascular disease. However, the clinical characteristics and prognostic importance MASLD in patients presenting acute myocardial infarction (AMI) have yet to be examined. Methods This study compared outcomes without AMI a tertiary centre Singapore. was defined as hepatic steatosis, least one five criteria. Hepatic steatosis determined using Steatosis Index. Propensity score matching performed adjust for age sex. The Kaplan‐Meier curve constructed long‐term all‐cause mortality. Cox regression analysis used investigate independent predictors Results In this 4446 AMI, 2223 were matched propensity scores. mean follow‐up duration 3.4 ± 2.4 years. group had higher rates obesity, diabetes chronic kidney than their counterparts. early excess mortality (6.8% vs. 3.6%, p < .001) 30 days, unfavourable sustained (18.3% 14.5%, = those MASLD. After adjustment, remained independently associated (hazard ratio 1.330, 95% confidence interval 1.106‐1.598, .002). Conclusion embodies burden dysfunction is an predictor population. Its identification may beneficial stratification provide therapeutic targets secondary preventive strategies AMI.
Language: Английский
Citations
5
BMJ Open, Journal Year: 2024, Volume and Issue: 14(12), P. e089047 - e089047
Published: Dec. 1, 2024
Purpose Coronary CT angiography (CCTA) is well established for the diagnostic evaluation and prognostication of coronary artery disease (CAD). The growing burden CAD in Asia emergence novel CT-based risk markers highlight need an automated platform that integrates patient data with CCTA findings to provide tailored, accurate cardiovascular assessments. This study aims develop artificial intelligence (AI)-driven assessment using Singapore’s multiethnic population. We will conduct a hybrid retrospective-prospective recruitment patients who have undergone as part workup CAD, along prospective follow-up clinical endpoints. images be analysed locally by core lab stenosis grading, Agatston scoring, epicardial adipose tissue plaque analysis. analyses also uploaded AI deidentification, integration reporting, generating precision toolkits each parameter. Participants baseline characteristics been collected verified 4196 recruited patients, comprising 75% Chinese, 6% Malay, 10% Indian 9% from other ethnic groups. Among participants, 41% are female, mean age 55±11 years. Additionally, hypertension, 51% dyslipidaemia, 15% diabetes 22% history smoking. Findings date cohort used four modules training, testing validation. During development process, preprocessing standardised format, resolution relevant attributes images. Future plans on track endpoints, including events, hospitalisations mortality. we monitor long-term impact AI-driven outcomes healthcare delivery. Trial registration number NCT05509010 .
Language: Английский
Citations
4
Journal of Drug Delivery Science and Technology, Journal Year: 2024, Volume and Issue: 99, P. 105937 - 105937
Published: July 4, 2024
Language: Английский
Citations
3