Dataset Information

Prediction of incident hypertension and arterial stiffness using the non-insulin-based metabolic score for insulin resistance (METS-IR) index.

ABSTRACT: Hypertension is associated with insulin resistance (IR), metabolic syndrome (MS), and arterial stiffness. Non-insulin-based IR indexes were developed as tools for metabolic screening. Here, we aimed to evaluate the novel non-insulin-based Metabolic Score for IR (METS-IR) index for the prediction of incident hypertension and arterial stiffness evaluated using pulse wave velocity (PWV) analysis, compared with other non-insulin-based IR indexes. We evaluated two populations, a cross-sectional evaluation of high-risk individuals (n = 305) with a wide range of metabolic comorbidities and dyslipidemia in whom PWV measurement was performed and a 3-year prospective cohort of normotensive individuals (N = 6850). We observed a positive correlation between METS-IR and PWV in the cross-sectional cohort, which was higher compared with other non-insulin-based fasting IR indexes; furthermore, PWV values >75th percentile were associated with the upper tercile of METS-IR values. In the prospective cohort, we observed an increased risk for incident hypertension for the upper METS-IR tercile (METS-IR ≥ 46.42; HR: 1.81, 95% CI: 1.41-2.34), adjusted for known cardiovascular risk factors, and observed that METS-IR had greater increases in the predictive capacity for hypertension along with SBP and the Framingham Hypertension Risk Prediction Model compared with other non-insulin-based IR indexes. Therefore, METS-IR is a novel non-insulin-based IR index which correlates with arterial stiffness and is a predictor of incident hypertension, complementary to previously validated risk prediction models.

SUBMITTER: Bello-Chavolla OY

PROVIDER: S-EPMC8030285 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature

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Prediction of incident hypertension and arterial stiffness using the non-insulin-based metabolic score for insulin resistance (METS-IR) index.

Bello-Chavolla Omar Yaxmehen OY Antonio-Villa Neftali E NE Vargas-Vázquez Arsenio A Martagón Alexandro J AJ Mehta Roopa R Arellano-Campos Olimpia O Gómez-Velasco Donaji V DV Almeda-Valdés Paloma P Cruz-Bautista Ivette I Melgarejo-Hernandez Marco A MA Muñoz-Hernandez Liliana L Guillén Luz E LE Garduño-García José de Jesús JJ Alvirde Ulices U Ono-Yoshikawa Yukiko Y Choza-Romero Ricardo R Sauque-Reyna Leobardo L Garay-Sevilla Ma Eugenia ME Malacara-Hernandez Juan M JM Tusié-Luna María T MT Gutierrez-Robledo Luis M LM Gómez-Pérez Francisco J FJ Rojas Rosalba R Aguilar-Salinas Carlos A CA

Journal of clinical hypertension (Greenwich, Conn.) 20190718 8

Hypertension is associated with insulin resistance (IR), metabolic syndrome (MS), and arterial stiffness. Non-insulin-based IR indexes were developed as tools for metabolic screening. Here, we aimed to evaluate the novel non-insulin-based Metabolic Score for IR (METS-IR) index for the prediction of incident hypertension and arterial stiffness evaluated using pulse wave velocity (PWV) analysis, compared with other non-insulin-based IR indexes. We evaluated two populations, a cross-sectional evalu ...[more]

PMID: 31318156

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Project description:AimThis study examined the association between the metabolic score for insulin resistance (METS-IR), a novel surrogate indicator of insulin resistance, and brachial-ankle pulse wave velocity (baPWV) in Japanese health check participants.MethodsA cross-sectional research was conducted involving individuals in a program of medical health screening at the Medical Health Check-up Center in Japan. The study assessed the connection between METS-IR and baPWV in 912 participants who joined the program between 3/1/2004 and 12/31/2012. Serum laboratory tests and lifestyle surveys were the covariates. Multivariate linear regression analysis and subgroup analyses were performed.Results912 participants were involved in this cross-sectional study. Adjusted for age, sex, BMI, AST, UA, HDL, eGFR, ankle-brachial index (ABI), alcohol consumption, and smoking status, multivariate linear regression analysis showed that METS-IR and baPWV showed a significant positive association (adjusted β=15.3, 95% confidence interval (CI): 6.61~23.98) with METS-IR as a continuous variable. When converting METS-IR to quartile categorical variables, higher quartile METS-IR indices had longer baPWV (Q3 vs Q1, β=86.14, 95% CI: 23.45~148.83; Q4 vs Q1, β=125.41, 95% CI: 39.99~210.84). In subgroup analysis, METS-IR was associated with baPWV in people with eGFR > 60 ml/min (adjusted β= 14.44, 95% CI: 5.61~23.26, P=0.001), none or light alcohol consumption (adjusted β=16.92, 95% CI: 6.85~27, P=0.001), non-smokers (adjusted β=15.48, 95% CI: 5.86~25.1, P=0.002), non-regular exercisers(adjusted β=17.34, 95% CI: 8.03~26.65, P<0.001), non-fatty liver (adjusted β=17.65, 95% CI: 5.92~29.39, P=0.003), and non-hypertensive (adjusted β=16.13, 95% CI:8.45~23.8, P<0.001).ConclusionMETS-IR are remarkably associated with baPWV among health check-up participants in Gifu, Japan. As a simple, easily calculated predictor of arterial stiffness, METS-IR could be considered for primary care as a monitoring tool to identify people with high risk of cardiovascular disease in order to intervene early on risk factors. Future prospective, large-sample researches are still needed to confirm this.

Project description:Insulin resistance (IR) is strongly associated with obstructive sleep apnea (OSA). Whereas, few studies have focused on the potential association between the Metabolic Score for Insulin Resistance (METS-IR), a novel non-insulin-dependent IR index, and OSA. Subjects from the National Health and Nutrition Examination Survey (NHANES) spanning 2005-2008 and 2015-2018 were recruited. The potential relationship between METS-IR and other IR indices with OSA was explored through three logistic regression analysis models and restricted cubic spline (RCS) curves. Receiver operating characteristic (ROC) curves were used to assess the diagnostic value of these indicators for OSA. On the basis of age, sex, race, body mass index (BMI), hypertension, diabetes， and cardiovascular disease (CVD), subgroup analyses were conducted to test the robustness of the METS-IR and OSA relationship. A total of 8,306 participants were enrolled, with an OSA prevalence of 30.69%. After adjusting for potential confounders, METS-IR, the triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) ratio, the triglyceride glucose Index (TyG), and the homeostatic model assessment of insulin resistance (HOMA-IR) showed positive associations with OSA prevalence. In the highest tertile of METS-IR, TG/HDL-C, TyG index, and HOMA-IR, OSA prevalence was 2.96-fold, 1.42-fold, 1.29-fold, and 1.41-fold higher, respectively, compared to the lowest tertile (METS-IR: OR = 2.96, 95% CI: 2.50, 3.52, P < 0.0001; TG/HDL-C: OR = 1.42, 95% CI: 1.17, 1.73, P < 0.001; TyG index: OR = 1.29, 95% CI: 1.07, 1.55, P = 0.008; HOMA-IR: OR = 1.41, 95% CI: 1.18, 1.69, P < 0.001). ROC analysis revealed that METS-IR had the highest diagnostic accuracy for OSA (AUC = 0.652). The positive associations between these four IR indices and OSA remain stable across most cases (P for interaction > 0.05); however, all of them show significant interactions with diabetes (P for interaction < 0.05). The METS-IR index is positively associated with the prevalence of OSA and shows superior diagnostic accuracy compared to HOMA-IR, TG/HDL-C, and TyG index.

Project description:BackgroundThe triglyceride-glucose index (TyG index) has emerged as a reliable surrogate marker of insulin resistance associated with arterial stiffness. However, most studies were based on a cross-sectional design, and few studies have evaluated the longitudinal impact of the TyG index on arterial stiffness. This study aimed to investigate the associations of single time point measurement and the long-term trajectory of the TyG index with arterial stiffness in a Chinese cohort.MethodsData are derived from the Hanzhong Adolescent Hypertension Cohort study. A total of 2480 individuals who participated in the 2017 survey was included in the cross-sectional analysis. A sample of 180 individuals from the sub-cohort with follow-up data in 2005, 2013, and 2017 was enrolled in the longitudinal analysis. The TyG index was calculated as ln (fasting triglyceride [mg/dL] × fasting glucose [mg/dL]/2), and arterial stiffness was determined using brachial-ankle pulse wave velocity (baPWV). The latent class growth mixture modeling method was used to identify the TyG index trajectories from 2005 to 2017.ResultsIn the cross-sectional analysis, the median age of the study population was 42.8 (39.8, 44.9) years, and 1351 (54.5%) were males. Each one-unit increment in TyG index was associated with a 37.1 cm/s increase (95% confidence interval [CI] 23.7-50.6 cm/s; P < 0.001) in baPWV, and similar results were observed when the TyG index was in the form of quartiles. In the longitudinal analysis, we identified three distinct TyG index trajectories and found that the highest TyG index trajectory carried the greatest odds of increased arterial stiffness, with a fully adjusted odds ratio (OR) of 2.76 (95% CI 1.40, 7.54).ConclusionsElevated levels of baseline TyG index and higher long-term trajectory of TyG index were independently associated with increased arterial stiffness. Monitoring immediate levels and longitudinal trends of the TyG index may help with the prevention of arterial stiffness in the long run.

Project description:Psoriasis is linked to insulin resistance (IR). Nevertheless, the applicability of the METS-IR index, a new IR evaluation tool, for evaluating changes in insulin sensitivity in psoriasis populations is currently unknown. This study aimed to investigate the relationship between the METS-IR index and psoriasis in a US adult population. This cross-sectional study utilized data from adults aged 20 to 80 years from the U.S. National Health and Nutrition Examination Survey (NHANES) spanning 2003-2006 and 2009-2014. The associations between the METS-IR index and psoriasis were examined using multivariate logistic regression and smoothed curve fitting. Subgroup analyses and interaction tests were conducted to verify the stability of the association within the population. This study included 5,966 participants, of whom 182 had psoriasis. In the fully adjusted model, the METS-IR index was positively associated with psoriasis, showing a 1.7% increase in psoriasis prevalence for each one-unit increase in the METS-IR index (Model 2: OR 1.017, 95% CI 1.006-1.028). Participants in the highest quartile group were 91.9% more likely to develop psoriasis compared to those in the lowest quartile group (OR = 1.919, 95% CI 1.180-3.118). Smooth curve fitting revealed a nonlinear association between the METS-IR index and psoriasis, with an inflection point of 41.675. This positive association was more pronounced in females, non-obese individuals, those with light alcohol consumption, comorbid coronary heart disease and hyperlipidemia, non-hypertensive and non-diabetic individuals. The results of the study suggest that higher METS-IR scores are associated with an increased likelihood of psoriasis among U.S. adults. The METS-IR index is specifically recommended as a clinical indicator for the management and treatment of psoriasis in women, non-obese individuals, light alcohol consumers, individuals with comorbid coronary artery disease andhyperlipidemia, non-hypertensive and non-diabetic individuals. However, Considering the many known and unknown covariates that may be associated with psoriasis and influence theresults of the study, we remain cautious about the results obtained and look forward to the addition of subsequent studies.

Dataset Information

Prediction of incident hypertension and arterial stiffness using the non-insulin-based metabolic score for insulin resistance (METS-IR) index.

Publications

Prediction of incident hypertension and arterial stiffness using the non-insulin-based metabolic score for insulin resistance (METS-IR) index.

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