
Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown
Published: Dec. 27, 2024
Language: Английский
Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown
Published: Dec. 27, 2024
Language: Английский
Cardiovascular Diabetology, Journal Year: 2024, Volume and Issue: 23(1)
Published: July 13, 2024
Abstract Background The triglyceride-glucose (TyG) index is associated with the development and prognosis of coronary artery disease (CAD). However, impact TyG on CAD severity across different glucose metabolism states exhibits significant disparities in previous research. Methods This cross-sectional study comprised 10,433 participants from a prospective cohort. Participants were categorized into four groups based state: normal regulation (NGR), prediabetes (pre-DM), diabetes mellitus (DM) without insulin prescribed (Rx), DM Rx. was determined by following formula: Ln [TG (mg/dL) × FPG / 2], where TG triglycerides fasting plasm glucose. Statistical methods such as binary logistic regression, interaction analysis, restricted cubic spline (RCS), receiver operating characteristic (ROC) employed to analyze relationship between entire population subgroups. Mediation analysis conducted examine mediating effects glycated hemoglobin (HbA1c) these relationships. Sensitivity performed ensure robustness findings. Results Multivariable regression revealed positive association multi-vessel (OR: 1.34; 95% CI: 1.22–1.47 per 1-unit increment). Subgroup demonstrated consistent associations NGR, pre-DM, non-insulin Rx groups, highest OR observed NGR group 1.67; 1.3–2.14 No correlation found subgroup. RCS analyses indicated distinct dose-response relationships Including established model slightly improved predictive accuracy, particularly group. showed varying HbA1c among confirmed aforementioned new-onset individuals not using antilipidemic medications. Conclusions positively all states, except for receiving treatment. Moreover, it might serve supplementary noninvasive predictor addition factors, especially patients. Graphical abstract
Language: Английский
Citations
8Frontiers in Endocrinology, Journal Year: 2025, Volume and Issue: 15
Published: Jan. 21, 2025
Objective The Estimated Glucose Disposal Rate (eGDR) serves as a surrogate marker for insulin resistance, with numerous studies highlighting its significant prognostic value. This paper aims to analyze the impact of eGDR on cardiovascular and all-cause mortality across different glycemic metabolic statuses, including normal fasting glucose (NFG), prediabetes, diabetes. Methods study included 46,016 American adults who underwent health examinations part National Health Nutrition Examination Survey from 1999 2018. Multivariable Cox regression was employed explore relationships between rates under varying states. Additionally, Kaplan-Meier curves were used compare cumulative incidence statuses. Finally, predictive value assessed using receiver operating characteristic curves. Results During an average follow-up 115 months, total 6,906 (15.01%) participants experienced mortality, 1,798 (3.91%) deaths attributed causes. analysis revealed that higher levels associated gradually reduced rates. After adjusting confounders, elevated protective against both mortality; effect notably stronger [Cardiovascular hazard ratio: 0.92; All-cause 0.94]. Further interaction tests indicated status significantly modified ( P -interaction<0.0001); specifically, high conferred protection in individuals NFG prediabetes compared those Receiver suggested had superior prediabetic populations diabetic group. Conclusion is straightforward acting factor adults, modifying this effect. Specifically, offer diabetes; moreover, appears be more suitable predicting events populations.
Language: Английский
Citations
1Lipids in Health and Disease, Journal Year: 2025, Volume and Issue: 24(1)
Published: March 6, 2025
Frailty is a multifactorial syndrome associated with adverse health outcomes. The metabolic underpinnings of frailty, particularly lipid metabolism, are not fully understood. Unlike isolated fractions or inflammatory markers, atherogenic index plasma (AIP) integrates profiles and systemic inflammation. However, its association frailty has been extensively studied. Six thousand four hundred participants from the National Health Nutrition Examination Survey (NHANES) were enrolled. was calculated (FI), scores ≥ 0.21 indicating frailty. Logistic regression adjusted for demographic, socioeconomic, lifestyle factors evaluated between AIP Restricted cubic splines (RCS) explored nonlinear associations, subgroup analyses assessed interactions across age, sex, race, poverty income ratio, smoking status, drinking marital status. This study demonstrated strong dose-response relationship After full adjustment, Individuals in quartile 3 4 showed higher odds than those lowest quartile, ORs (95% CI) 1.26(1.01,1.57) 1.73(1.34,2.23), respectively. Continuous measures also exhibited significant associations (OR: 1.82, 95% CI: 1.34-2.47). RCS analysis that risk Subgroup more pronounced females. sensitivity substantiated stability strength results. Our findings suggest elevated levels independently risk, females, highlighting potential as cost-effective biomarker stratification. Future longitudinal studies needed to validate AIP's predictive utility uncover underlying mechanisms.
Language: Английский
Citations
1Cardiovascular Diabetology, Journal Year: 2024, Volume and Issue: 23(1)
Published: June 29, 2024
Abstract Background The atherogenic index of plasma (AIP) is closely associated with the onset diabetes, obesity being a significant risk factor for type 2 diabetes mellitus (T2DM). However, association between AIP and T2DM in overweight obese populations has been infrequently studied. Therefore, this study aimed to explore individuals T2DM. Methods This cross-sectional analysis utilized data from 40,633 participants body mass (BMI) ≥ 24 kg/m who were screened January 2018 December 2023 at Henan Provincial People’s Hospital. Participants categorized into groups without according criteria. AIP, our dependent variable, was calculated using formula log10 [(TG mol/L)/HDL-C (mol/L)]. We investigated multivariate logistic regression, subgroup analysis, generalized additive models, smoothed curve fitting, threshold effect analysis. Additionally, mediation evaluated role inflammatory cells AIP-related Results Overweight patients exhibited higher levels than those diabetes. After adjusting confounders, results indicated (odds ratio (OR) = 5.17, 95% confidence interval (CI) 4.69–5.69). Notably, high baseline (Q4 group) had significantly greater Q1 group, an OR 3.18 (95% CI 2.94–3.45). Subgroup revealed that decreased increasing age (interaction P < 0.001). In populations, displayed J-shaped nonlinear pattern, > – 0.07 indicating increase risk. Various cells, including neutrophils, leukocytes, monocytes, mediated 4.66%, 4.16%, 1.93% associations, respectively. Conclusion individuals, independently T2DM, exhibiting association. advancing age. Multiple types mediate
Language: Английский
Citations
7Diagnostics, Journal Year: 2024, Volume and Issue: 14(14), P. 1495 - 1495
Published: July 11, 2024
(1) Background: Dyslipidaemia and insulin resistance are major risk factors for coronary artery disease (CAD). This study investigated the relationship between plasma atherogenic index (PA-I), triglyceride-glucose (TGI) other lipid ratios with presence prediction of CAD among different age categories. (2) Methods: The included 223 participants diagnosed those normal arteries (normal group) by computed tomography angiography (CCTA). Participants were categorised sex: premature (PCAD) men under 55 women 65, older groups as elderly. (3) Results: PA-I, Lipid Combined Index, Castelli Risk Indices, TGI significantly higher in PCAD group compared to control (p < 0.05). ROC analysis showed that a PA-I cut-off 0.41 had sensitivity 62% specificity 58% predicting PCAD, while 8.74 68% 62%. In elderly, no significant differences these indices found groups. (4) Conclusions: Traditional profiles non-traditional such show younger populations but not may be promising biomarkers PAD, although further validation is needed.
Language: Английский
Citations
5Journal of Psychosomatic Research, Journal Year: 2025, Volume and Issue: 189, P. 112034 - 112034
Published: Jan. 2, 2025
Language: Английский
Citations
0Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 20, 2025
Language: Английский
Citations
0Cardiovascular Diabetology, Journal Year: 2025, Volume and Issue: 24(1)
Published: Jan. 22, 2025
Abstract Background Atherogenic index of plasma (AIP), a novel logarithmic that combines fasting triglyceride and high-density lipoprotein cholesterol concentrations, is associated with the burden atherosclerosis. This study aimed to evaluate relationship between AIP coronary artery disease (CAD) risk, severity, prognosis in populations without established CAD. Methods PubMed, Embase, Web Science were systematically searched from inception each database August 13, 2024. Cross-sectional studies, case-control prospective or retrospective cohort studies using multivariate analysis included. Given true effect size may differ across random-effects model for all analyses was applied. Results Fifty-one observational included this study. Patients higher more likely have CAD (odds ratio (OR): 2.79, 95% CI 1.75–4.45, P < 0.00001). Furthermore, these patients calcification (OR: 2.28, 1.74–3.00, 0.00001), multivessel 2.04, 1.50–2.77, an increased risk plaque progression 1.49, 1.17–1.91, = 0.001). In CAD, levels Major adverse cardiovascular events (MACE) (hazard (HR): 1.28, 1.22–1.35, Interestingly, finding consistent presenting acute syndrome (HR: 1.59, 1.33–1.89, 0.00001) chronic stable 1.65, 1.15–2.37, 0.007). Conclusions meta-analysis demonstrates elevated strongly greater poorer However, are needed predictive performance determine optimal cut-off different populations. Graphical abstract
Language: Английский
Citations
0Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)
Published: Feb. 19, 2025
The atherogenic index of plasma (AIP) is a recent biomarker linked to atherosclerosis that has been validated as novel indicator for myocardial infarction (MI). However, the relationship between AIP and severity coronary artery disease (CAD) in MI patients still ambiguous, particularly among individuals with different glucose metabolic conditions. A total 741 participants who were immediately assessed angiography upon admission diagnosed acute recruited. CAD was based on number narrowed vessels. tertiles used divide into three groups (T1: < 0.030; T2: 0.030 ≤ 0.316; T3: > 0.316). American Diabetes Association's guidelines define types state: diabetes mellitus (DM), prediabetes (Pre-DM), normal regulation (NGR). Logistic regression analysis utilized confirm an association patients. ROC curves employed evaluate diagnostic utility In patients, statistically significant correlation found CAD, logistic revealing strong (OR: 2.055; 95% CI: 1.189–3.550; P = 0.009). Following adjustments risk factors model, remained independent predictor multi-vessel 2.902;95% 1.555–5.521 ; 0.001). Moreover, compared T1 group, odds ratios T2 T3 2.039 (95% 1.321–3.175; 0.001) 2.087 1.317–3.340; 0.001), respectively. area under curve predicting 0.568 0.520–0.616; p 0.006). addition, observed increased Pre-DM group. closely associated prediction CAD. clearly whereas this absent NGR DM groups.
Language: Английский
Citations
0Cardiovascular Diabetology, Journal Year: 2025, Volume and Issue: 24(1)
Published: Feb. 28, 2025
Triglyceride glucose index (TyG) serves as an effective parameter for assessing metabolic status. However, it remains uncertain whether TyG and other parameters can predict clinical outcomes in people with syndrome (MetS). We investigated the association of TyG, triglyceride glucose-waist to height ratio (TyG-WHtR), score insulin resistance (METS-IR) all-cause cardiovascular mortality MetS cohort determined this changes age. Participants enrolled National Health Nutrition Examination Survey (NHANES) between 2001 2018 were selected categorized into two groups: younger individuals (age < 65 years) older ≥ years). Three new indices TyG-WHtR, METS-IR constructed. The weighted Cox proportional hazards model restricted cubic spline (RCS) models employed evaluate relation three outcomes. time-dependent receiver operating characteristic (ROC) curve assessed ability different mortality. Sensitivity analysis was conducted robustness reliability findings. study comprised a total 8271 participants, including 5456 participants 2815 1407 deaths observed over median follow-up period 8.3 years. Compared first quartile (Q1), fourth quartile's (Q4) linked increased risk (HR 1.63, 95% CI 1.12–2.39; HR 2.78, 1.68–4.61; 1.36, 1.12–2.02, respectively) 2.04, 1.15–4.90; 4.99, 1.76–14.11; 2.69, 1.89–8.15, group but not group. RCS results showed no significant non-linear associations METS-IR, (P = 0.082; P 0.712; 0.062, or 0.176; 0.793; 0.482, age TyG-WHtR demonstrated highest area under predicting 3-year group, values 0.653 0.688 Our highlight predictive value population, providing evidence medical practice public health. A study, 100 months. Weighted COX regression (left), (upper right), (cut-off 36 months) (lower right). index; WHtR ratio; Metabolic resistance; syndrome.
Language: Английский
Citations
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