LIVER FIBROSIS IN INDIVIDUALS WITH METABOLIC DYSFUNCTION–ASSOCIATED STEATOTIC LIVER DISEASE (MASLD) IN LATIN AMERICA: INTERIM RESULTS FROM THE STELLA STUDY Article Swipe
YOU?
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· 2025
· Open Access
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· DOI: https://doi.org/10.1016/j.aohep.2025.101966
Introduction and Objectives: Prospective data on liver-fibrosis risk among Latin Americans with MASLD remain scarce, although genetic susceptibility and lifestyle behaviors may heighten vulnerability. This multinational, prospective study aims to define the principal determinants of fibrosis in this high-risk population across Latin America. Materials and Methods: We performed a cross-sectional baseline analysis of the STELLA study, which is prospectively enrolling adults with MASLD (2023 criteria) at 10 centers (Argentina 15.1%, Brazil 66.2%, Chile 5.9%, Colombia 1.9%, Mexico 0.3%, Peru 10.6%). Alcohol intake, dietary patterns, and vibration-controlled transient elastography (VCTE) were assessed in all participants. When biopsy was unavailable, fibrosis was staged by liver stiffness measurements (LSMs) on VCTE cut-offs (advanced ≥ 8.8 kPa, cirrhosis ≥ 11.8 kPa). Factors associated with liver stiffness were examined with multivariable linear regression adjusted for age, sex, body mass index (BMI), type 2 diabetes mellitus (T2DM), hypertension, and dyslipidemia. Results: A total of 370 participants were analyzed (median age 66 [58–73] years; 66.7% women; median BMI 30.9 [27.5–34.8] kg/m2). The prevalence of T2DM was 55.8%, hypertension 38.3%, and dyslipidemia 39.4%. The median alcohol intake was 0 [0–28] grams/week. Median liver stiffness was 9.2 [6.1–16.6] kPa, with advanced fibrosis present in 53.2% and cirrhosis in 18.8%. In the adjusted model, female sex (β = +3.0 kPa; 95%CI 0.2–5.8; p=0.034), T2DM (β = +4.9 kPa; 95%CI 2.2–7.6; p<0.001), and dyslipidemia (β = +3.9 kPa; 95%CI 1.2–6.5; p=0.005) were independently associated with higher LSM values, with T2DM showing the strongest effect (Figure). Conclusions: In this well-characterized cohort of Latin-American adults with MASLD, female sex, T2DM, and dyslipidemia emerged as leading risk factors for liver fibrosis. The STELLA project, including a larger sample and longitudinal follow-up, may further clarify the natural history of MASLD in Latin America (FONDECYT 1241450).
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- Language
- en
- Landing Page
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- Title
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LIVER FIBROSIS IN INDIVIDUALS WITH METABOLIC DYSFUNCTION–ASSOCIATED STEATOTIC LIVER DISEASE (MASLD) IN LATIN AMERICA: INTERIM RESULTS FROM THE STELLA STUDYWork title
- Type
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articleOpenAlex work type
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enPrimary language
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2025Year of publication
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2025-09-01Full publication date if available
- Authors
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Luis Antonio Díaz Piga, Francisco Idalsoaga, Mário Guimarães Pessôa, Cláudia P. Oliveira, Patrícia Momoyo Zitelli, Ezequiel Ridruejo, Mirta Peralta, C Reygosa Castro, Jorge Garavito-Rentería, Gustavo Ayares, Nancy Solı́s, María Paz Orellana, Sebastián Marciano, Adrian Gadano, Jorge Martínez Morales, M. Acosta, Martín Tagle, Hugo Cedrón, Ismael Yepes Barreto, María Dolores Pérez, Estefanía Liza, Javier Díaz Ferrer, Daniela Simian, Juan Pablo Roblero, P. Ussetti Gil, Scherezada Mejía Loza, Veeral Ajmera, Arun J. Sanyal, Rohit Loomba, Juan Pablo Arab, Marco ArreseList of authors in order
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| abstract_inverted_index.8.8 | 111 |
| abstract_inverted_index.9.2 | 187 |
| abstract_inverted_index.BMI | 160 |
| abstract_inverted_index.LSM | 235 |
| abstract_inverted_index.The | 164, 175, 267 |
| abstract_inverted_index.age | 153 |
| abstract_inverted_index.all | 92 |
| abstract_inverted_index.and | 1, 18, 44, 84, 142, 172, 196, 221, 257, 274 |
| abstract_inverted_index.for | 129, 264 |
| abstract_inverted_index.may | 21, 277 |
| abstract_inverted_index.sex | 205 |
| abstract_inverted_index.the | 31, 53, 201, 240, 280 |
| abstract_inverted_index.was | 96, 99, 168, 179, 186 |
| abstract_inverted_index.≥ | 110, 114 |
| abstract_inverted_index.+3.0 | 208 |
| abstract_inverted_index.+3.9 | 225 |
| abstract_inverted_index.+4.9 | 216 |
| abstract_inverted_index.11.8 | 115 |
| abstract_inverted_index.30.9 | 161 |
| abstract_inverted_index.Peru | 78 |
| abstract_inverted_index.T2DM | 167, 213, 238 |
| abstract_inverted_index.This | 24 |
| abstract_inverted_index.VCTE | 107 |
| abstract_inverted_index.When | 94 |
| abstract_inverted_index.age, | 130 |
| abstract_inverted_index.aims | 28 |
| abstract_inverted_index.body | 132 |
| abstract_inverted_index.data | 4 |
| abstract_inverted_index.kPa, | 112, 189 |
| abstract_inverted_index.kPa; | 209, 217, 226 |
| abstract_inverted_index.mass | 133 |
| abstract_inverted_index.risk | 7, 262 |
| abstract_inverted_index.sex, | 131, 255 |
| abstract_inverted_index.this | 37, 246 |
| abstract_inverted_index.type | 136 |
| abstract_inverted_index.were | 89, 122, 150, 230 |
| abstract_inverted_index.with | 11, 61, 119, 124, 190, 233, 237, 252 |
| abstract_inverted_index.(2023 | 63 |
| abstract_inverted_index.0.3%, | 77 |
| abstract_inverted_index.1.9%, | 75 |
| abstract_inverted_index.5.9%, | 73 |
| abstract_inverted_index.53.2% | 195 |
| abstract_inverted_index.66.7% | 157 |
| abstract_inverted_index.95%CI | 210, 218, 227 |
| abstract_inverted_index.Chile | 72 |
| abstract_inverted_index.Latin | 9, 41, 286 |
| abstract_inverted_index.MASLD | 12, 62, 284 |
| abstract_inverted_index.T2DM, | 256 |
| abstract_inverted_index.among | 8 |
| abstract_inverted_index.index | 134 |
| abstract_inverted_index.kPa). | 116 |
| abstract_inverted_index.liver | 102, 120, 184, 265 |
| abstract_inverted_index.study | 27 |
| abstract_inverted_index.total | 146 |
| abstract_inverted_index.which | 56 |
| abstract_inverted_index.(BMI), | 135 |
| abstract_inverted_index.(LSMs) | 105 |
| abstract_inverted_index.(VCTE) | 88 |
| abstract_inverted_index.15.1%, | 69 |
| abstract_inverted_index.18.8%. | 199 |
| abstract_inverted_index.38.3%, | 171 |
| abstract_inverted_index.39.4%. | 174 |
| abstract_inverted_index.55.8%, | 169 |
| abstract_inverted_index.66.2%, | 71 |
| abstract_inverted_index.Brazil | 70 |
| abstract_inverted_index.MASLD, | 253 |
| abstract_inverted_index.Median | 183 |
| abstract_inverted_index.Mexico | 76 |
| abstract_inverted_index.STELLA | 54, 268 |
| abstract_inverted_index.across | 40 |
| abstract_inverted_index.adults | 60, 251 |
| abstract_inverted_index.biopsy | 95 |
| abstract_inverted_index.cohort | 248 |
| abstract_inverted_index.define | 30 |
| abstract_inverted_index.effect | 242 |
| abstract_inverted_index.female | 204, 254 |
| abstract_inverted_index.higher | 234 |
| abstract_inverted_index.intake | 178 |
| abstract_inverted_index.larger | 272 |
| abstract_inverted_index.linear | 126 |
| abstract_inverted_index.median | 159, 176 |
| abstract_inverted_index.model, | 203 |
| abstract_inverted_index.remain | 13 |
| abstract_inverted_index.sample | 273 |
| abstract_inverted_index.staged | 100 |
| abstract_inverted_index.study, | 55 |
| abstract_inverted_index.women; | 158 |
| abstract_inverted_index.years; | 156 |
| abstract_inverted_index.(T2DM), | 140 |
| abstract_inverted_index.(median | 152 |
| abstract_inverted_index.10.6%). | 79 |
| abstract_inverted_index.Alcohol | 80 |
| abstract_inverted_index.America | 287 |
| abstract_inverted_index.Factors | 117 |
| abstract_inverted_index.alcohol | 177 |
| abstract_inverted_index.centers | 67 |
| abstract_inverted_index.clarify | 279 |
| abstract_inverted_index.dietary | 82 |
| abstract_inverted_index.emerged | 259 |
| abstract_inverted_index.factors | 263 |
| abstract_inverted_index.further | 278 |
| abstract_inverted_index.genetic | 16 |
| abstract_inverted_index.history | 282 |
| abstract_inverted_index.intake, | 81 |
| abstract_inverted_index.kg/m2). | 163 |
| abstract_inverted_index.leading | 261 |
| abstract_inverted_index.natural | 281 |
| abstract_inverted_index.present | 193 |
| abstract_inverted_index.scarce, | 14 |
| abstract_inverted_index.showing | 239 |
| abstract_inverted_index.values, | 236 |
| abstract_inverted_index.America. | 42 |
| abstract_inverted_index.Colombia | 74 |
| abstract_inverted_index.Methods: | 45 |
| abstract_inverted_index.Results: | 144 |
| abstract_inverted_index.[0–28] | 181 |
| abstract_inverted_index.adjusted | 128, 202 |
| abstract_inverted_index.advanced | 191 |
| abstract_inverted_index.although | 15 |
| abstract_inverted_index.analysis | 51 |
| abstract_inverted_index.analyzed | 151 |
| abstract_inverted_index.assessed | 90 |
| abstract_inverted_index.baseline | 50 |
| abstract_inverted_index.cut-offs | 108 |
| abstract_inverted_index.diabetes | 138 |
| abstract_inverted_index.examined | 123 |
| abstract_inverted_index.fibrosis | 35, 98, 192 |
| abstract_inverted_index.heighten | 22 |
| abstract_inverted_index.mellitus | 139 |
| abstract_inverted_index.p=0.005) | 229 |
| abstract_inverted_index.project, | 269 |
| abstract_inverted_index.(FONDECYT | 288 |
| abstract_inverted_index.(Figure). | 243 |
| abstract_inverted_index.(advanced | 109 |
| abstract_inverted_index.1241450). | 289 |
| abstract_inverted_index.Americans | 10 |
| abstract_inverted_index.Materials | 43 |
| abstract_inverted_index.[58–73] | 155 |
| abstract_inverted_index.behaviors | 20 |
| abstract_inverted_index.cirrhosis | 113, 197 |
| abstract_inverted_index.criteria) | 64 |
| abstract_inverted_index.enrolling | 59 |
| abstract_inverted_index.fibrosis. | 266 |
| abstract_inverted_index.high-risk | 38 |
| abstract_inverted_index.including | 270 |
| abstract_inverted_index.lifestyle | 19 |
| abstract_inverted_index.p<0.001), | 220 |
| abstract_inverted_index.p=0.034), | 212 |
| abstract_inverted_index.patterns, | 83 |
| abstract_inverted_index.performed | 47 |
| abstract_inverted_index.principal | 32 |
| abstract_inverted_index.stiffness | 103, 121, 185 |
| abstract_inverted_index.strongest | 241 |
| abstract_inverted_index.transient | 86 |
| abstract_inverted_index.(Argentina | 68 |
| abstract_inverted_index.0.2–5.8; | 211 |
| abstract_inverted_index.1.2–6.5; | 228 |
| abstract_inverted_index.2.2–7.6; | 219 |
| abstract_inverted_index.associated | 118, 232 |
| abstract_inverted_index.follow-up, | 276 |
| abstract_inverted_index.population | 39 |
| abstract_inverted_index.prevalence | 165 |
| abstract_inverted_index.regression | 127 |
| abstract_inverted_index.Objectives: | 2 |
| abstract_inverted_index.Prospective | 3 |
| abstract_inverted_index.grams/week. | 182 |
| abstract_inverted_index.prospective | 26 |
| abstract_inverted_index.Conclusions: | 244 |
| abstract_inverted_index.Introduction | 0 |
| abstract_inverted_index.[6.1–16.6] | 188 |
| abstract_inverted_index.determinants | 33 |
| abstract_inverted_index.dyslipidemia | 173, 222, 258 |
| abstract_inverted_index.elastography | 87 |
| abstract_inverted_index.hypertension | 170 |
| abstract_inverted_index.longitudinal | 275 |
| abstract_inverted_index.measurements | 104 |
| abstract_inverted_index.participants | 149 |
| abstract_inverted_index.unavailable, | 97 |
| abstract_inverted_index.[27.5–34.8] | 162 |
| abstract_inverted_index.dyslipidemia. | 143 |
| abstract_inverted_index.hypertension, | 141 |
| abstract_inverted_index.independently | 231 |
| abstract_inverted_index.multivariable | 125 |
| abstract_inverted_index.participants. | 93 |
| abstract_inverted_index.prospectively | 58 |
| abstract_inverted_index.Latin-American | 250 |
| abstract_inverted_index.liver-fibrosis | 6 |
| abstract_inverted_index.multinational, | 25 |
| abstract_inverted_index.susceptibility | 17 |
| abstract_inverted_index.vulnerability. | 23 |
| abstract_inverted_index.cross-sectional | 49 |
| abstract_inverted_index.well-characterized | 247 |
| abstract_inverted_index.vibration-controlled | 85 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 31 |
| citation_normalized_percentile.value | 0.55911196 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |