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Fibrosis Predictive Score in Caucasian Patients with Metabolic Syndrome

INTRODUCTION: Many of the patients presenting with metabolic syndrome (MetS) also have liver steatosis (NAFLD) and some of them could develop liver fibrosis. PURPOSE: To develop a simple score that could rule out fibrosis, especially significant fibrosis (F≥2) and could be used in daily practice in...

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Autores principales: Mare, Ruxandra, Sporea, Ioan, Tomescu, Mirela, Pop, Gheorghe Nicușor, Vitel, Andrei, Popescu, Alina, Nistorescu, Silviu, Sirli, Roxana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9188395/
https://www.ncbi.nlm.nih.gov/pubmed/35698652
http://dx.doi.org/10.2147/DMSO.S358744
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author Mare, Ruxandra
Sporea, Ioan
Tomescu, Mirela
Pop, Gheorghe Nicușor
Vitel, Andrei
Popescu, Alina
Nistorescu, Silviu
Sirli, Roxana
author_facet Mare, Ruxandra
Sporea, Ioan
Tomescu, Mirela
Pop, Gheorghe Nicușor
Vitel, Andrei
Popescu, Alina
Nistorescu, Silviu
Sirli, Roxana
author_sort Mare, Ruxandra
collection PubMed
description INTRODUCTION: Many of the patients presenting with metabolic syndrome (MetS) also have liver steatosis (NAFLD) and some of them could develop liver fibrosis. PURPOSE: To develop a simple score that could rule out fibrosis, especially significant fibrosis (F≥2) and could be used in daily practice in patients with MetS, in order to identify patients at risk. PATIENTS AND METHODS: A total of 204 patients with MetS were prospectively enrolled. Evaluation of liver fibrosis was made using Vibration Controlled Transient Elastography while evaluation of steatosis was achieved using ultrasound (US). RESULTS: Out of 204 patients with MetS, 179 patients (87.7%) had reliable liver stiffness measurements and 22.9% (41/179) had F ≥2. To formulate the fibrosis predicting score, all clinical variables associated with F ≥2 in the univariate analysis were considered in a multivariate regression model. According to the power of correlation, by consensus, we attributed 1 point for BMI >31.4 kg/m(2), 1 point for female gender, 1 point for HDLc <47mg/dL, 1 point for mild steatosis at US, 1.5 point for moderate and 2 points for severe steatosis. CONCLUSION: At an optimal cut-off value of <3.5, our score could be used to rule-out the risk for developing at least significant fibrosis with a high negative predictive value (NPV 89.2%) in patients with MetS.
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spelling pubmed-91883952022-06-12 Fibrosis Predictive Score in Caucasian Patients with Metabolic Syndrome Mare, Ruxandra Sporea, Ioan Tomescu, Mirela Pop, Gheorghe Nicușor Vitel, Andrei Popescu, Alina Nistorescu, Silviu Sirli, Roxana Diabetes Metab Syndr Obes Original Research INTRODUCTION: Many of the patients presenting with metabolic syndrome (MetS) also have liver steatosis (NAFLD) and some of them could develop liver fibrosis. PURPOSE: To develop a simple score that could rule out fibrosis, especially significant fibrosis (F≥2) and could be used in daily practice in patients with MetS, in order to identify patients at risk. PATIENTS AND METHODS: A total of 204 patients with MetS were prospectively enrolled. Evaluation of liver fibrosis was made using Vibration Controlled Transient Elastography while evaluation of steatosis was achieved using ultrasound (US). RESULTS: Out of 204 patients with MetS, 179 patients (87.7%) had reliable liver stiffness measurements and 22.9% (41/179) had F ≥2. To formulate the fibrosis predicting score, all clinical variables associated with F ≥2 in the univariate analysis were considered in a multivariate regression model. According to the power of correlation, by consensus, we attributed 1 point for BMI >31.4 kg/m(2), 1 point for female gender, 1 point for HDLc <47mg/dL, 1 point for mild steatosis at US, 1.5 point for moderate and 2 points for severe steatosis. CONCLUSION: At an optimal cut-off value of <3.5, our score could be used to rule-out the risk for developing at least significant fibrosis with a high negative predictive value (NPV 89.2%) in patients with MetS. Dove 2022-06-07 /pmc/articles/PMC9188395/ /pubmed/35698652 http://dx.doi.org/10.2147/DMSO.S358744 Text en © 2022 Mare et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Mare, Ruxandra
Sporea, Ioan
Tomescu, Mirela
Pop, Gheorghe Nicușor
Vitel, Andrei
Popescu, Alina
Nistorescu, Silviu
Sirli, Roxana
Fibrosis Predictive Score in Caucasian Patients with Metabolic Syndrome
title Fibrosis Predictive Score in Caucasian Patients with Metabolic Syndrome
title_full Fibrosis Predictive Score in Caucasian Patients with Metabolic Syndrome
title_fullStr Fibrosis Predictive Score in Caucasian Patients with Metabolic Syndrome
title_full_unstemmed Fibrosis Predictive Score in Caucasian Patients with Metabolic Syndrome
title_short Fibrosis Predictive Score in Caucasian Patients with Metabolic Syndrome
title_sort fibrosis predictive score in caucasian patients with metabolic syndrome
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9188395/
https://www.ncbi.nlm.nih.gov/pubmed/35698652
http://dx.doi.org/10.2147/DMSO.S358744
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