Relationship of METS-IR with cardiometabolic multimorbidity in China: a nationwide longitudinal cohort study

Frontiers in Nutrition, Journal Year: 2025, Volume and Issue: 12

Published: Feb. 12, 2025

Cardiometabolic multimorbidity (CMM) has emerged as a global health challenge with high mortality risk. This study aimed to explore the association between metabolic score for insulin resistance (METS-IR) and incidence of CMM. included 6,977 individuals in CHARLS database. We used multiple cox proportional hazards regression restricted cubic splines (RCS) analysis evaluate METS-IR Subgroup analyses interaction tests were also performed. During median 109 (108-109) months follow-up, 745 (10.7%) participants diagnosed new-onset The incidences CMM among quartiles (Q) 1-4 4.99, 7.51, 10.67, 19.54%, respectively. was significantly higher compared those without (p < 0.001). After multivariate adjustment, associated an increased risk Compared Q1 METS-IR, hazard ratios (HRs) (95% confidence intervals [CIs]) using Q2-4 1.52 (1.15-2.00), 2.02 (1.56-2.63), 3.61 (2.80-4.64), RCS revealed significant nonlinear (nonlinear p 0.05). present almost all subgroups. Furthermore, predictive ability 0.669, which surpassed that both triglyceride high-density lipoprotein cholesterol ratio glucose index. A closely Further studies on could be beneficial preventing treating

Language: Английский

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Association of metabolic score for insulin resistance with incident metabolic syndrome: a cohort study in middle-aged and older adult Chinese population

Frontiers in Public Health, Journal Year: 2025, Volume and Issue: 13

Published: Feb. 18, 2025

Recent studies suggest that the metabolic score for insulin resistance (MetS-IR) is an effective indicator of disorders. However, evidence on relationship between MetS-IR and syndrome (MetS) among Chinese middle-aged older adult population limited. This cohort study aims to assess associations levels with MetS risk its components. Data used in this from National Basic Public Health Service Project Management System (2020-2023). Multivariable Cox proportional hazards model restricted cubic spline (RCS) were employed evaluate baseline components, receiver operating characteristic (ROC) curves further utilized efficacy predicting component. Of 1,498 subjects without at baseline, 392 incident cases observed during a median 27.70 months follow-up. The adjusted multivariable regression analysis indicated elevated 15% developing 1-SD increment [hazard ratios (HRs) 95% confidence intervals: 1.16 (1.13-1.18)]. Compared first tertile MetS-IR, HRs third second 6.31 (95% CI 4.55-8.76) 2.72 1.92-3.85), respectively. Consistent findings detected across subgroups. Moreover, nonlinear MetS, abdominal obesity, reduced high-density lipoprotein concentration (HDL-C) (P < 0.01), cutoff was 32.89. area under curve 0.740 0.713-0.768), which better than those other indicators. Our indicates positive association HDL-C, but linear blood pressure (BP), fasting glucose (FBG), triglycerides (TG) people, more are warranted verify our findings.

Language: Английский

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Associations between indicators of lipid and glucose metabolism and hypothyroidism

Lipids in Health and Disease, Journal Year: 2025, Volume and Issue: 24(1)

Published: Feb. 18, 2025

Language: Английский

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Assessing the impact of insulin resistance trajectories on cardiovascular disease risk using longitudinal targeted maximum likelihood estimation

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

Published: March 10, 2025

Abstract Background Cardiovascular disease (CVD) is closely associated with Insulin Resistance (IR). However, there limited research on the relationship between trajectories of IR and CVD incidence, considering both time-invariant time-varying confounders. We employed advanced causal inference methods to evaluate longitudinal impact risk. Methods The data for this study were extracted from a Chinese nationwide cohort, named China Health Retirement Longitudinal Study (CHARLS). Triglyceride-glucose (TyG) index TyG body mass (BMI) used as surrogate markers IR, their changes recorded exposures. targeted maximum likelihood estimation (LTMLE) was how dynamic shifts in (i.e., increase, decrease, etc.) influence long-term risk, adjusting Results A total 3,966 participants included analysis, 2,152 (54.3%) being female. average age at baseline 58.28 years. Over course 7-year follow-up period, 499 (12.6%) developed CVD. Four distinct TyG-BMI identified: low stable, increasing, decreasing, high stable. LTMLE analyses revealed individuals ‘high stable’ ‘increasing’ groups had significantly higher risk developing compared those ‘low group, while ‘decreasing’ group showed no significant differences. Specifically, when exposure set TyG-BMI, odds 1.694 (95% CI: 1.361–2.108) times than group. Similar trends observed across other models, ORs 1.708 1.367–2.134) Model 2, 1.389 (1.083–1.782) 3, 1.675 (1.185–2.366) 4, 1.375 CI:1.07 − 1.768) 5. When changed index, results remained consistent, slightly lower magnitude ratios. Conclusions High stable increasing consistently exhibited ratios (ORs) comparing index. Early identification could provide insights preventing later life.

Language: Английский

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Comparisons of three novel markers for insulin resistance to predict incident cardiovascular disease: a Korean cohort study from three different regions

European journal of medical research, Journal Year: 2025, Volume and Issue: 30(1)

Published: March 20, 2025

Abstract Background Cardiovascular disease (CVD) is a crucial human health challenge. Previous studies have shown an association between CVD and the triglyceride–glucose (TyG) index, atherogenic index of plasma (AIP), metabolic score for insulin resistance (METS–IR). However, comparison these novel markers predicting not well known. Therefore, we aimed to assess value TyG, AIP, METS–IR in incidence three large cohorts Korean adults. Methods Data from 28 437 participants Genome Epidemiology Study (KoGES) Korea Health Insurance Review Assessment (HERAS–HIRA) were assessed. The divided into four groups according quartiles TyG index: ln ([triglyceride × fasting glucose]/2), AIP calculated as log (triglyceride/high-density lipoprotein cholesterol), (ln ([2 glucose] + triglyceride) body mass index)/(ln [high-density cholesterol–cholesterol]). We prospectively assessed hazard ratios (HRs) with 95% confidence intervals (CIs) using multivariate Cox proportional regression models after adjusting potential confounding variables. Results During follow-up period, 987 (3.5%) developed CVD. Compared referent first quartiles, highest HRs 1.73 (95% CI 1.41–2.12), 1.47 1.19–1.80), 2.61 1.83–3.72), respectively, significantly predicted future CVD, age, sex, index. When comparing biomarkers resistance, showed similar predictive values, whereas had lower significance Conclusions Based on current findings, surrogate particularly may help predict risk Koreans.

Language: Английский

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The Metabolic Score for Insulin Resistance (METS-IR), a Predictor of Cardiovascular Events, Relates to Disease Activity in Patients with Rheumatoid Arthritis

Diagnostics, Journal Year: 2025, Volume and Issue: 15(7), P. 861 - 861

Published: March 28, 2025

Background: The Metabolic Score for Insulin Resistance (METS-IR) is a newly developed index that has been described to predict cardiovascular (CV) events. In this study, we calculated the METS-IR in patients with rheumatoid arthritis (RA), condition linked an elevated CV risk. We then examined its relationship disease characteristics and comorbidities, including activity, lipid profile, subclinical carotid atherosclerosis, insulin resistance indices. Methods: A total of 515 RA were recruited. Disease-related activity indices, Disease Activity (DAS28), Clinical Index (CDAI), Simple (SDAI) calculated. Additionally, complete metabolic syndrome criteria, ultrasound intima-media thickness plaque detection assessed. was multivariable linear regression analysis performed examine associations between METS-IR. Results: positively correlated age, body mass index, traditional risk factors such as Carotid thickness-but not presence plaque-was associated significantly higher values. Regarding disease-related characteristics, C-reactive protein indices demonstrated significant positive association after adjustment. Specifically, values (beta coefficient 0.2, 95% CI: 0.1-0.3, p < 0.001). All except CDAI, showed Conclusions: only but also, independently, inflammatory RA. Its events general population highlights role inflammation driving excessive This underscores intricate dysfunction, systemic inflammation, outcomes

Language: Английский

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Association Between Metabolic Score for Insulin Resistance (METS-IR) and Risk of Obstructive Sleep Apnea: Analysis of NHANES Database and a Chinese Cohort

Nature and Science of Sleep, Journal Year: 2025, Volume and Issue: Volume 17, P. 607 - 620

Published: April 1, 2025

Insulin resistance (IR) plays a significant role in the development of obstructive sleep apnea (OSA). The metabolic score for insulin (METS-IR) is novel method assessing IR. This study aims to explore relationship between METS-IR and risk OSA. cross-sectional included total 8297 subjects from NHANES (National Health Nutrition Examination Survey) database, as well 581 patients who underwent monitoring Renmin Hospital Wuhan University. Logistic regression, subgroup analysis, receiver operating characteristic (ROC) curve analysis were employed evaluation. In American population, positive association was found increased For each unit increase METS-IR, OSA by 4.4% (OR= 1.044; 95% CI: 1.037-1.059; P <0.001). A similar observed Chinese population. Multivariate regression model showed that prevalence 6.7% 1.067; 1.035-1.103; <0.001), apnea-hypopnea index (AHI) 0.732 (β= 0.732; 0.573-0.732; Gender further particularly male participants 1.111; 1.065-1.163; ROC area under (AUC) value predicting 0.777, but it not statistically significantly different triglyceride glucose (TyG) (AUC = 0.749; 0.054), body mass (BMI) 0.769; 0.269), glucose-body (TyG-BMI) 0.777; 0.996). associated with may serve an effective predictive marker identifying

Language: Английский

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Exploring the obesity paradox in chronic respiratory disease: the mediating effect of triglyceride-glucose index on mortality

npj Primary Care Respiratory Medicine, Journal Year: 2025, Volume and Issue: 35(1)

Published: April 26, 2025

Chronic respiratory diseases (CRD) are major contributors to mortality. The "obesity paradox" suggests that higher body mass index (BMI) may confer survival benefits in CRD patients. This study investigates the association between BMI and mortality risk patients, focusing on mediating role of triglyceride-glucose (TyG) index. A cross-sectional analysis 7689 participants with was conducted. Participants were categorized by into <25.0, 25.0-29.9, 30.0-34.9, 35.0-39.9, ≥40 kg/m2. Outcomes included all-cause mortality, cardiovascular disease (CVD) non-CVD Cox regression models assessed associations, mediation evaluated TyG Among associated lower (HR for 25.0-29.9: 0.81, 95% CI 0.70-0.94; HR 30.0-34.9: 0.72, 0.61-0.85; 35.0-39.9: 0.59-0.88; ≥ 40: 0.82, 0.66-1.02) 0.77, 0.65-0.91; 0.65, 0.54-0.79; 0.66, 0.52-0.83; 0.69, 0.53-0.89), but not CVD mediated a significant proportion (mediation effects: -22.39 -18.49%). Kaplan-Meier curves restricted cubic spline further illustrated associations while no observed Higher is particularly causes, highlights potential insulin resistance metabolic health interventions improve outcomes CRD.

Language: Английский

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Surrogate markers of insulin resistance and coronary artery disease in type 2 diabetes: U-shaped TyG association and insights from machine learning integration

Lipids in Health and Disease, Journal Year: 2025, Volume and Issue: 24(1)

Published: March 15, 2025

Surrogate insulin resistance (IR) indices are simpler and more practical alternatives to insulin-based IR indicators for clinical use. This study explored the association between surrogate indices, including triglyceride-glucose index (TyG), triglyceride glucose-body mass (TyG-BMI), glucose-waist circumference (TyG-WC), height ratio (TyG-WHtR), metabolic score (METS-IR), triglycerides/high-density lipoprotein cholesterol (TG/HDL-C) ratio, coronary artery disease (CAD) in patients with type 2 diabetes (T2D). Patients T2D were enrolled this divided into two groups, matched age duration: those CAD without CAD. The was evaluated using restricted cubic spline (RCS) multivariable logistic regression their discriminative ability assessed via Receiver operating characteristic (ROC) curve analysis. Additionally, machine learning models, Logistic Regression, Random Forest, eXtreme Gradient Boosting (XGBoost), Light Machine (LightGBM), Support Vector (SVM), employed predict presence multiple components. All exhibited non-linear associations TyG demonstrated a U-shaped relationship, where both extremely low high levels associated higher odds of compared intermediate levels. showed relatively strong CAD, AUC values exceeding 0.708 across all indices. TG/HDL-C displayed highest (0.721), accuracy (68%), sensitivity (71%), whereas TyG-WC specificity (78%). algorithms (except regression) greater power than individual forest XGBoost revealed best performance when either or could be used as valuable tools evaluating cardiometabolic risk T2D, who at Integrating models further improved prediction, underscoring potential better stratification. observed these may help clarify complex pathophysiology offer insights future research.

Language: Английский

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Triglyceride-glucose index and risk of all-cause and cardiovascular mortality in patients with cardiovascular disease: Analysis from 1999 to 2018 NHANES data

Medicine, Journal Year: 2024, Volume and Issue: 103(46), P. e40534 - e40534

Published: Nov. 15, 2024

This research seeks to examine the correlation between triglyceride-glucose index and hazard of all-cause cardiovascular death in individuals with disease (CVD). By evaluating index, we can better anticipate assess risk prognosis CVD patients, provide precise individualized guidance for clinical treatment management. Demographic data 2185 patients from 10 cycles National Health Nutrition Examination Survey database 1999 2018 were extracted analysis. Employed 3-level quantile method group data, a multivariate Cox proportional model along subgroup analysis study both mortalities. Additionally, restricted cubic spline examination was employed correlation, aiming enhance comprehension their interrelation. Over course an average post-observation duration 89.5 months involving individuals, 607 suffered mortality 313 CVD-related mortality. An inverted U-shaped identified through During COX regression analysis, it found that T2 T3 had dramatically lower mortalities as opposed those T1. The results overall consistent across analyses according age, gender, race, body mass diabetes, hypertension, interaction these characteristics not remarkable ( P > .05). Studies conducted on US have revealed death. However, further investigations are required particular function forecasting individuals. will be helpful accurately ultimately developing more personalized management strategies.

Language: Английский

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