{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,9]],"date-time":"2026-11-09T08:58:25Z","timestamp":1794214705898,"version":"4.8.0"},"reference-count":33,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2025,5,27]],"date-time":"2025-05-27T00:00:00Z","timestamp":1748304000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Medicina"],"abstract":"<jats:p>Background and Objectives: The myocardial performance index (MPI) is a diagnostic tool that assesses both the systolic and diastolic function of ventricles. The MPI provides a comprehensive view of the overall efficiency of the heart\u2019s pumping ability, making it a valuable tool for detecting early signs of heart dysfunction, even in the absence of overt symptoms. In this regard, we aimed to explore the relationship between the triglyceride\u2013glucose (TyG) index and subclinical heart failure (HF), as well as its correlation with the MPI, in asymptomatic patients visiting a routine cardiology outpatient clinic. The study specifically excluded individuals with known diabetes, hypertension, and HF, focusing instead on those who had undergone 12 h fasting blood glucose (FBG) and triglyceride (TG) tests. Materials and Methods: The study included 125 patients with FBG, TG, total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C) data after the exclusion criteria were applied. Results: When asymptomatic patients were categorized as MPI normal or MPI (+) subjects, significant differences were found between the groups in terms of body mass index (BMI), metabolic syndrome (MetS) components, and serum TG values. Pearson correlation analysis revealed a significant and positive correlation between the MPI and TyG index (r = 0.358, p &lt; 0.001). Regression analysis was used to determine the effective parameters in subclinical left ventricular dysfunction (SCLVD). In univariate regression analysis, obesity, the presence of MetS, serum TG, and the TyG index were identified as risk factors. In multivariate regression analysis, the TyG index was found to be the independent risk factor. Conclusions: The positive association found between the MPI and TyG index suggests a link with metabolic disorders and myocardial performance. Obesity, the presence of MetS, serum TG, and the TyG index were identified as risk factors for SCLVD in asymptomatic patients. Notably, the TyG index was identified as an independent risk factor for SCLVD, highlighting its potential role in the early identification and risk stratification of individuals at risk for cardiac dysfunction. These findings suggest that monitoring the TyG index could provide valuable insights into subclinical heart dysfunction, particularly in patients with metabolic abnormalities.<\/jats:p>","DOI":"10.3390\/medicina61060987","type":"journal-article","created":{"date-parts":[[2025,5,29]],"date-time":"2025-05-29T07:46:26Z","timestamp":1748504786000},"page":"987","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["The Triglyceride\u2013Glucose Index, a Marker of Insulin Resistance, Is Associated with the Myocardial Performance Index in Asymptomatic Subjects"],"prefix":"10.3390","volume":"61","author":[{"given":"Necip","family":"Nas","sequence":"first","affiliation":[{"name":"Department of Internal Medicine, Medical Faculty, Siirt University, 56100 Siirt, Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Muzaffer","family":"Aslan","sequence":"additional","affiliation":[{"name":"Department of Cardiology, Medical Faculty, Siirt University, 56100 Siirt, Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4224-9272","authenticated-orcid":false,"given":"Semih","family":"Saglik","sequence":"additional","affiliation":[{"name":"Department of Radiology, Siirt Training and Research Hospital, 56000 Siirt, Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1347-8498","authenticated-orcid":false,"given":"Hafize","family":"Uzun","sequence":"additional","affiliation":[{"name":"Department of Medical Biochemistry, Faculty of Medicine, Istanbul Atlas University, 34403 Istanbul, Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2025,5,27]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"e106","DOI":"10.1093\/eurjpc\/zwad392","article-title":"Risk factors for cardiovascular disease: The known unknown","volume":"31","author":"Beigrezaei","year":"2024","journal-title":"Eur. 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