Articles producció científicaMedicina i Cirurgia

Utility of Insulin Resistance in Estimating Cardiovascular Risk in Subjects with Type 1 Diabetes According to the Scores of the Steno Type 1 Risk Engine

  • Dades identificatives

    Identificador:  imarina:7473809
    Autors:  Cano, A; Llauradó, G; Albert, L; Mazarico, I; Astiarraga, B; González-Sastre, M; Martínez, L; Fernández-Veledo, S; Simó, R; Vendrell, J; González-Clemente, JM
    Resum:
    Background: We sought to assess the potential of insulin resistance (IR) for estimating cardiovascular disease (CVD) risk in adults with type 1 diabetes (T1DM) according to the scores of the Steno Type 1 Risk Engine (ST1RE). Methods: A total of 179 adults with T1DM (50.8% men, age 41.2 +/- 13.1 years, duration of T1DM 16 (12-23) years) without established CVD were evaluated. IR was assessed by the estimation of insulin sensitivity (eIS) using two validated prediction equations: the estimated insulin sensitivity developed from the Pittsburgh Epidemiology of Diabetes Complications Study (eIS-EDC) and the estimated insulin sensitivity developed from Coronary Artery Calcification in T1DM Study (eIS-CACTI) ST1RE was used to estimate 10-year CVD risk and to classify subjects into three groups according to their risk: low (n= 105), moderate (10-20%;n= 53), and high (>= 20%;n= 21). Results: Both eIS-EDC and eIS-CACTI correlated negatively with ST1RE scores (eIS-EDC: r = -0.636,p< 0.001; eIS-CACTI: r = -0.291,p< 0.001). The C-statistic for predicting moderate/high risk and high risk was 0.816 (95% confidence interval (CI): 0.754-0.878) and 0.843 (95% CI: 0.772-0.913), respectively, for the eIS-EDC equation, and was 0.686 (95% CI: 0.609-0.763) and 0.646 (95% CI: 0.513-0.778), respectively, for the eIS-CACTI equation. The eIS-EDC equation had a significantly higher C-statistic both for moderate-/high-risk (p= 0.001) and high-risk (p= 0.007) subjects. Two cut-off points of eIS-EDC were identified for detecting moderate/high risk (8.52 mg center dot kg(-1)center dot min(-1); sensitivity 74% and specificity 76%) and high risk (8.08 mg center dot kg(-1)center dot min(-1); sensitivity 65% and specificity 95%) with potential applicability in clinical practice. Conclusions: eIS negatively correlates with the score of CVD risk in the ST1RE. Two cut-off points of eIS are reported with potential utility in clinical practice for detecting adults with T1DM with the highest CVD risk.
  • Altres:

    Enllaç font original: https://www.mdpi.com/2077-0383/9/7/2192
    Referència de l'ítem segons les normes APA: Cano, A; Llauradó, G; Albert, L; Mazarico, I; Astiarraga, B; González-Sastre, M; Martínez, L; Fernández-Veledo, S; Simó, R; Vendrell, J; González-Clem (2020). Utility of Insulin Resistance in Estimating Cardiovascular Risk in Subjects with Type 1 Diabetes According to the Scores of the Steno Type 1 Risk Engine. Journal of Clinical Medicine, 9(7), 1-12. DOI: 10.3390/jcm9072192
    Referència a l'article segons font original: Journal of Clinical Medicine. 9 (7): 1-12
    DOI de l'article: 10.3390/jcm9072192
    Any de publicació de la revista: 2020-07-01
    Entitat: Universitat Rovira i Virgili
    Versió de l'article dipositat: info:eu-repo/semantics/publishedVersion
    Data d'alta del registre: 2026-05-09
    Autor/s de la URV: Domínguez Porfirio, Brenno / Fernandez Veledo, Sonia / Martínez Guasch, Laia / Vendrell Ortega, Juan José
    Departament: Medicina i Cirurgia, Ciències Mèdiques Bàsiques
    URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
    Tipus de publicació: Journal Publications
    Autor segons l'article: Cano, A; Llauradó, G; Albert, L; Mazarico, I; Astiarraga, B; González-Sastre, M; Martínez, L; Fernández-Veledo, S; Simó, R; Vendrell, J; González-Clemente, JM
    Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
    Àrees temàtiques: Medicine, general & internal, Medicine (miscellaneous), Medicine (all), Ciencias sociales, Ciencias humanas, Biotecnología
    Adreça de correu electrònic de l'autor: laia.martinez@urv.cat, laia.martinez@urv.cat, brenno.dominguez@urv.cat, brenno.dominguez@urv.cat, laia.martinez@urv.cat, sonia.fernandez@irbcatsud.cat, sonia.fernandez@irbcatsud.cat, sonia.fernandez@irbcatsud.cat, jvortega@irbcatsud.cat, jvortega@irbcatsud.cat
  • Paraules clau:

    Type 1 diabetes
    Steno type 1 risk engine
    Sensitivity
    Prediction
    Plasma
    Metabolic syndrome
    Mellitus
    Insulin resistance
    Glucose
    Excess mortality
    Estimated insulin sensitivity
    Disease
    Coronary-artery calcification
    Complications
    Cardiovascular risk
    Medicine (Miscellaneous)
    Medicine
    General & Internal
    Medicine (all)
    Ciencias sociales
    Ciencias humanas
    Biotecnología
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