Clinical predictive model of new-onset atrial fibrillation in patients with acute myocardial infarction after percutaneous coronary intervention DOI Creative Commons
Xiaodan Wu, Wei Zhao, Quanwei Wang

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 17, 2024

Abstract Background New-onset atrial fibrillation (NOAF) is associated with increased morbidity and mortality. Despite identifying numerous factors contributing to NOAF, the underlying mechanisms remain uncertain. This study introduces triglyceride-glucose index (TyG index) as a predictive indicator establishes clinical model. Materials Methods We included 551 patients acute myocardial infarction (AMI) without history of (AF). These were divided into two groups based on occurrence postoperative NOAF during hospitalization: group (n = 94) sinus rhythm (SR) 457). utilized regression model analyze risk establish The performance, calibration, effectiveness evaluated using receiver operational characteristics (ROC), calibration curve, decision curve analysis, impact curve. Results 94 developed hospitalization. TyG was identified an independent predictor significantly higher in group. Left (LA) diameter, age, systemic inflammatory response (SIRI), creatinine also for NOAF. Combining these build prediction resulted area under (AUC) 0.780 (95% CI: 0.888, 0.358). ROC, demonstrated that performance new nomogram satisfactory. Conclusion By incorporating model, after AMI hospitalization can be effectively predicted. Early detection improve prognosis patients.

Language: Английский

The additive effect of the triglyceride-glucose index and estimated glucose disposal rate on long-term mortality among individuals with and without diabetes: a population-based study DOI Creative Commons
Haoming He, Yingying Xie, Qiang Chen

et al.

Cardiovascular Diabetology, Journal Year: 2024, Volume and Issue: 23(1)

Published: Aug. 22, 2024

The triglyceride-glucose (TyG) index and estimated glucose disposal rate (eGDR), which are calculated using different parameters, widely used as markers of insulin resistance associated with cardiovascular diseases prognosis. However, whether they have an additive effect on the risk mortality remains unclear. This study aimed to explore combined assessment TyG eGDR improved prediction long-term in individuals without diabetes. In this cross-sectional cohort study, data were derived from National Health Nutrition Examination Survey (NHANES) 2001–2018, death record information was obtained Death Index. associations all-cause determined by multivariate Cox regression analysis restricted cubic splines. Among 17,787 included analysis, there 1946 (10.9%) deaths 649 (3.6%) during a median follow-up 8.92 years. diabetes, spline curves for followed J-shape L-shape, respectively. significantly increased after > 9.04 (all-cause mortality) or 9.30 (cardiovascular mortality), < 4 mg/kg/min (both mortality). association between negative linear relationship. no mortality. Compared low high group, those group (TyG 4) showed highest (hazard ratio [HR] = 1.592, 95% confidence interval [CI] 1.284–1.975) (HR 1.683, CI 1.179-2.400) overall population. Similar results observed There potential provided additional prognostic contributed improving stratification.

Language: Английский

Citations

21

Long-term survival in stroke patients: insights into triglyceride-glucose body mass index from ICU data DOI Creative Commons
Yongwei Huang, Zongping Li,

Xiaoshuang Yin

et al.

Cardiovascular Diabetology, Journal Year: 2024, Volume and Issue: 23(1)

Published: April 25, 2024

Abstract Background The Triglyceride Glucose-Body Mass Index (TyG-BMI) has been established as a robust indicator of insulin resistance (IR), reflecting metabolic health across various populations. In general, lower TyG-BMI values are often associated with better outcomes and reduced risk adverse events in non-critically ill Previous studies have highlighted significant negative association between all-cause mortality (ACM) among critically atrial fibrillation patients. Given the high prevalence severe stroke, understanding how at time ICU admission correlates ACM stroke patients becomes imperative. This study aims to assess correlation this specific patient cohort, exploring traditional associations may differ context acute, life-threatening illness. Methods Patient data were retrieved by accessing Medical Information Mart for Intensive Care IV (MIMIC-IV 2.2) database, categorizing into three groups on basis tertiles. evaluated both primary secondary outcomes: included 90-day, 180-day, 1-year ACM, while encompassed ICU, in-hospital, 30-day ACM. Our employed Kaplan–Meier (K–M) curve method outcome comparison utilizing multivariate Cox proportional-hazards regression models restricted cubic splines (RCS) explore these outcomes. Additionally, interaction subgroup analyses performed, focusing different points. Results Among cohort 1707 individuals diagnosed average age was 68 years (interquartile range [IQR]: 58–78 years), 946 (55.42%) participants being male. analysis K-M curves suggested that having level faced heightened long-term whereas short-term exhibited no statistically differences groups. Furthermore, validated increased belonging lowest tertile. RCS results demonstrated L-shaped correlations index short- These findings underscore predictive value patients, highlighting nuanced relationship varies over frames. revealed interactions stratified variables, exception age. Conclusion our study, levels significantly related higher within United States. finding suggests potential marker stratifying population. However, it's crucial note not observed indicating utility be more pronounced prediction. conclusion could serve reliable managing long term is preliminary. To confirm universal applicability prognostic tool, it conduct rigorously designed research

Language: Английский

Citations

11

Changes in the combination of the triglyceride-glucose index and obesity indicators estimate the risk of cardiovascular disease DOI Creative Commons

Xiaoqing Zhu,

Weihao Xu, Tingting Song

et al.

Cardiovascular Diabetology, Journal Year: 2024, Volume and Issue: 23(1)

Published: June 6, 2024

Abstract Background Cardiovascular disease (CVD) is closely associated with the triglyceride glucose (TyG) index and its related indicators, particularly combination obesity indices. However, there limited research on relationship between changes in TyG-related indices CVD, as most studies have focused baseline Methods The data for this prospective cohort study were obtained from China Health Retirement Longitudinal Study. exposures cumulative 2012 to 2015. K-means algorithm was used classify each into four classes (Class 1 Class 4). Multivariate logistic regressions evaluate associations incidence of CVD. Results In total, 3243 participants included study, whom 1761 (54.4%) female, a mean age 57.62 years at baseline. Over 5-year follow-up, 637 (19.6%) developed Fully adjusted regression analyses revealed significant positive indices, Among these TyG-waist circumference (WC) showed strongest association incident Compared TyG-WC, odds ratio (OR) 2 1.41 (95% confidence interval (CI) 1.08–1.84), OR 3 1.54 CI 1.15–2.07), 4 1.94 1.34–2.80). Moreover, TyG-WC exhibited CVD among Quartile 1.33 1.00–1.76), 1.46 1.09–1.96), 1.79 1.30–2.47). Conclusions Changes are independently risk expected become more effective indicators identifying individuals heightened

Language: Английский

Citations

10

Association between non-insulin-based insulin resistance surrogate makers and Helicobacter pylori infection: a population-based study DOI Creative Commons
Jiayu Qiu, Yue‐Ming Yu, Dingwei Liu

et al.

BMC Gastroenterology, Journal Year: 2025, Volume and Issue: 25(1)

Published: Jan. 21, 2025

Current evidence on the associations between insulin resistance (IR) and Helicobacter pylori (H. pylori) infection remains limited. This study aimed to investigate association non-insulin-based surrogate markers of IR, including triglyceride glucose (TyG) index, high-density lipoprotein cholesterol (TG/HDL-C) ratio, metabolic score for IR (METS-IR), H. in U.S. populations. cross-sectional involving 939 participants from National Health Nutrition Examination Survey (NHANES) 1999–2000. The three were respectively investigated using logistic regression model, restricted cubic spline (RCS) curve subgroup analysis. Three levels significantly elevated participants. There was a positive infection, even after adjusting potential confounding variables by different models. In analysis, adjusted more likely be observed female Non-Hispanic White. Additionally, RCS revealed linear correlation TyG index across all models, METS-IR Model 3. However, nonlinear TG/HDL-C ratio These findings suggest that positively associated with infection. may serve as indicators identifying risk Not applicable.

Language: Английский

Citations

1

Association between non-insulin-based insulin resistance indicators and frailty progression: a national cohort study and mendelian randomization analysis DOI Creative Commons
Hui Tian, Y. Li, Chengqiang Wang

et al.

Cardiovascular Diabetology, Journal Year: 2025, Volume and Issue: 24(1)

Published: Jan. 22, 2025

Insulin resistance (IR) is linked to an increased risk of frailty, yet it remains unclear whether the non-insulin-based IR indicators are associated with frailty trajectories and physical function decline. It aimed examine associations triglyceride-glucose (TyG) index, metabolic score for insulin (METS-IR), estimated glucose disposal rate (eGDR) long-term deficit-accumulation Data from 6722 participants in China Health Retirement Longitudinal Study (CHARLS) were analyzed. Baseline TyG METS-IR, eGDR, along index (FI) over nine years, calculated. FI assessed using group-based trajectory model (GBTM). Logistic regression models used analyze between risk. Restricted cubic splines (RCS) utilized detect potential dose-response associations. Linear mixed-effects was evaluate development speed. Age, gender, educational level, marital status, smoking drinking life satisfaction, social activity sleep duration adjusted. Additionally, a two-sample Mendelian randomization (MR) performed assess causality observed Three including low-stable moderate-increasing accelerated rising identified. Regarding frail risk, each SD increment 16.1% increase (OR = 1.161; 95%CI: 1.092, 1.235). An inverse association eGDR OR (95%CI) being 0.741 (0.696, 0.788). A linear relationship baseline (P nonlinear 0.696), but patterns nonlinearity < 0.010) METS-IR 0.010). Each greater (β 0.005 SD/y; 95%CI 0.002, 0.008 P 0.001). similar pattern highest quartile showed significantly progression, β value 0.013 (95% CI 0.004, 0.022). slower (β=-0.006 SD/y, 95% CI=-0.009, -0.003 Participants presented lower annual change compared 1 group during follow-up (β=-0.013 CI=-0.022, -0.005 trend Similar findings Findings MR analysis causal higher 0.214, 0.079, 0.349; 0.002). The indicators, independently progression Monitoring managing abnormal metabolism should be recommended as part comprehensive strategies prevent or delay frailty.

Language: Английский

Citations

1

Association between estimated glucose disposal rate and atrial fibrillation recurrence in patients undergoing radiofrequency catheter ablation: a retrospective study DOI Creative Commons
Xiaozhong Li,

Zheng Zhou,

Zhen Xia

et al.

European journal of medical research, Journal Year: 2024, Volume and Issue: 29(1)

Published: June 12, 2024

Previous studies have shown a clear link between insulin resistance (IR) and an elevated risk of atrial fibrillation (AF). However, the relationship estimated glucose disposal rate (eGDR), which serves as marker for IR, AF recurrence after radiofrequency catheter ablation (RFCA) remains uncertain. Therefore, this study aimed to examine potential association eGDR following RFCA.

Language: Английский

Citations

6

Clinical predictive model of new-onset atrial fibrillation in patients with acute myocardial infarction after percutaneous coronary intervention DOI Creative Commons
Xiaodan Wu, Wei Zhao, Quanwei Wang

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Jan. 2, 2025

New-onset atrial fibrillation (NOAF) is associated with increased morbidity and mortality. Despite identifying numerous factors contributing to NOAF, the underlying mechanisms remain uncertain. This study introduces triglyceride-glucose index (TyG index) as a predictive indicator establishes clinical model. We included 551 patients acute myocardial infarction (AMI) without history of (AF). These were divided into two groups based on occurrence postoperative NOAF during hospitalization: group (n = 94) sinus rhythm (SR) 457). utilized regression model analyze risk establish The performance, calibration, effectiveness evaluated using receiver operational characteristics (ROC), calibration curve, decision curve analysis, impact curve. 94 developed hospitalization. TyG was identified an independent predictor significantly higher in group. Left (LA) diameter, age, systemic inflammatory response (SIRI), creatinine also for NOAF. Combining these build prediction resulted area under (AUC) 0.780 (95% CI 0.358–0.888). ROC, demonstrated that performance new nomogram satisfactory. By incorporating model, after AMI hospitalization can be effectively predicted. Early detection improve prognosis patients.

Language: Английский

Citations

0

The prognostic association of triglyceride-glucose index and its derived indicators with stable coronary artery disease patients undergoing percutaneous coronary intervention DOI Creative Commons
Yu Shan,

Maoning Lin,

Fangfang Gu

et al.

Frontiers in Endocrinology, Journal Year: 2025, Volume and Issue: 16

Published: Jan. 22, 2025

Aims Research on the triglyceride-glucose (TyG) index in patients with stable coronary artery disease (SCAD) remains relatively limited. Therefore, this study aims to investigate association of TyG and its derived indicators, including baseline index, triglyceride glucose-body mass (TyG-BMI), mean glucose index-standard deviation (TyG-SD), prognosis SCAD undergoing percutaneous intervention (PCI). Methods This retrospective enrolled 2,306 patients. The Cox proportional hazards model was utilized evaluate between four indicators major adverse cardiovascular cerebrovascular events (MACCE). predictive ability for MACCE assessed using time-dependent receiver operating characteristic (ROC) curve. Kaplan-Meier survival analysis employed assess prognostic differences among groups. Results After a median follow-up 26.1 months, total 352 (15.3%) experienced MACCE. regression revealed that under fully adjusted model, when were stratified by tertiles, highest tertile each indicator had significantly increased risk compared those lowest tertile. Specifically, hazard ratio 1.653 (95% confidence intervals (CI): 1.234-2.214), TyG-BMI 2.467 (95%CI: 1.849-3.293), 2.451 1.794-3.349), TyG-SD 1.896 1.430-2.513). Time-dependent ROC curve demonstrated strongest at time point. results showed grouped there significant cumulative incidence three groups (P &lt; 0.05). Conclusion Higher levels independently positively associated PCI. Among these greatest value Consequently, tracking long-term trends may be prioritized clinical practice.

Language: Английский

Citations

0

Associations of triglyceride glucose-body mass index and the combination of sedentary behavior and physical activity with risks of all-cause mortality and myocardial infarction: a cohort study from the UK biobank DOI Creative Commons
Ying Zhu, Tianci Yao, Tian Li

et al.

Cardiovascular Diabetology, Journal Year: 2025, Volume and Issue: 24(1)

Published: March 1, 2025

Triglyceride glucose-body mass (TyG-BMI) index, sedentary behavior (SB) and physical activity (PA) are independently associated with all-cause mortality myocardial infarction (MI). However, it remains unclear whether TyG-BMI index the combination of SB PA exhibit joint effects on MI. Among 502 356 participants from UK Biobank, 297 761 eligible were selected. The Cox proportional hazards model restricted cubic spline regression used to assess associations To conduct stratified analysis, classified into four groups by (<6 h/d ≥ 6 h/d) moderate vigorous (MVPA) (<150 min/wk 150 min/wk). Additionally, multiplicative interaction was assessed between & MVPA. Furthermore, estimate their associations, conjointly twelve new (tertiles) MVPA (four groups). During a median follow-up 13.8 13.6 years, 21 335 deaths 9 116 MI observed, respectively. dose-response relationship U-shaped cut-off point at 225.09, whereas positive nonlinear 266.87. A synergistic effect observed tertile 1 <150 (P for < 0.001). When combined either <6 or not, 2 showed no significant association risk, HRs(95%CIs) 0.98 (0.93-1.03) 1.00 (0.94-1.07) SB. one two healthy behaviors present (i.e., MVPA, SB), its 1.07(0.95-1.20) 1.09(0.94-1.25), jointly risks Our findings highlight importance improving insulin resistance reduce particularly in individuals long-term insufficient PA, who more susceptible adverse index. In individuals, meeting guidelines (≥ MVPA) effectively mitigated

Language: Английский

Citations

0

Association between triglyceride–glucose index and mortality in critically ill patients with atrial fibrillation: a retrospective cohort study DOI Creative Commons

Ding Rong,

Erjing Cheng,

Wei Miao

et al.

Cardiovascular Diabetology, Journal Year: 2025, Volume and Issue: 24(1)

Published: March 24, 2025

The triglyceride–glucose (TyG) index, an emerging surrogate marker of insulin resistance, has been implicated in adverse cardiovascular outcomes. However, its prognostic value critically ill patients with atrial fibrillation (AF) remains unclear. This study aimed to investigate the association between TyG index and all-cause mortality this high-risk population. We identified AF from Medical Information Mart for Intensive Care IV (MIMIC-IV) database categorized them into tertiles based on their levels. primary outcome was 30-day mortality, 90-day 365-day as secondary Cox proportional hazards regression analysis restricted cubic splines were used elucidate relationship mortality. Kaplan–Meier survival performed visualize differences among tertiles. A total 1473 included; 30-day, 90-day, rates 26.8%, 33.3%, 41.1%, respectively. Multivariate revealed that independently associated at 30 days [hazard ratio (HR) (95% confidence interval (CI)) 1.26 (1.09–1.45), P = 0.002], 90 [HR CI) 1.27 (1.11–1.45), < 0.001], 365 1.24 (1.10–1.40), 0.001]. Restricted showed a positive linear risk. curves further confirmed significant disparities across observed higher increased 30, 90, AF. underscores role key indicator risk stratification management intensive care.

Language: Английский

Citations

0