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临床试验/NCT07791589
NCT07791589已完成不适用

Fibrosis Versus Metabolic Risk in MASLD: Age-Adjusted Associations With PREVENT Cardiovascular Risk

Özgür Bahadır1 个研究点 分布在 1 个国家目标入组 271 人开始时间: 2026年6月1日最近更新:
适应症

试验速览

阶段
不适用
状态
已完成
发起方
入组人数
271
试验地点
1
主要终点
Correlation between FIB-4 score and 10-year PREVENT-CVD risk

研究概览

简要总结

This retrospective observational study evaluates the relationship between non-invasive liver fibrosis and metabolic markers and estimated cardiovascular risk in adults with metabolic dysfunction-associated steatotic liver disease (MASLD). The primary objective is to assess the association between the Fibrosis-4 index (FIB-4) and 10-year cardiovascular disease risk estimated using the American Heart Association PREVENT equations, with particular attention to the effect of age on this association. Secondary analyses evaluate the Fibrosis-3 index (FIB-3), triglyceride-glucose index (TyG), and liver stiffness measurement (LSM) in relation to PREVENT-estimated risks of cardiovascular disease, atherosclerotic cardiovascular disease, and heart failure.

详细描述

This is a retrospective, single-center, observational study of adults with metabolic dysfunction-associated steatotic liver disease (MASLD) evaluated between January 1, 2024 and April 30, 2026. MASLD was defined by hepatic steatosis on ultrasonography together with at least one cardiometabolic risk factor, after exclusion of alternative causes of chronic liver disease.

Clinical and laboratory data were obtained from electronic medical records. Non-invasive indices included the Fibrosis-4 index (FIB-4), Fibrosis-3 index (FIB-3), triglyceride-glucose index (TyG), and liver stiffness measurement (LSM) by transient elastography when available.

Cardiovascular risk was estimated using the American Heart Association Predicting Risk of Cardiovascular Disease EVENTs (PREVENT) base equations. Ten-year estimates were calculated for total cardiovascular disease (PREVENT-CVD), atherosclerotic cardiovascular disease (PREVENT-ASCVD), and heart failure (PREVENT-HF).

The primary analysis examines the association between FIB-4 and PREVENT-CVD risk. FIB-3 and TyG are evaluated as secondary markers, while analyses involving PREVENT-ASCVD, PREVENT-HF, and LSM are supportive. Because age is incorporated into FIB-4 and is also a major determinant of cardiovascular risk, crude associations are compared with age-adjusted partial Spearman correlations. A sensitivity analysis is also performed in participants without diabetes.

Participants with prior cardiovascular disease were excluded from the primary prevention cohort. Analyses are based on complete cases, without imputation of missing data.

研究设计

研究类型
Observational
观察模型
Other
时间视角
Retrospective

入排标准

年龄范围
30 Years 至 79 Years(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • Adults aged 30 to 79 years. Metabolic dysfunction-associated steatotic liver disease (MASLD), defined by hepatic steatosis on ultrasonography together with at least one cardiometabolic risk factor.
  • Clinical data available for calculation of the PREVENT cardiovascular risk estimates within the supported input ranges.

排除标准

  • Alternative causes of chronic liver disease. One or more required PREVENT input variables outside the supported ranges: systolic blood pressure 90-200 mmHg, total cholesterol 130-320 mg/dL, HDL cholesterol 20-100 mg/dL, eGFR 15-140 mL/min/1.73 m², or BMI 18.5-39.9 kg/m².
  • Prior cardiovascular disease, defined as a history of stroke, coronary artery disease, heart failure, atrial fibrillation, or peripheral arterial disease.

结局指标

主要结局

Correlation between FIB-4 score and 10-year PREVENT-CVD risk

时间窗: At the index clinical evaluation during the retrospective study period (January 1, 2024 to April 30, 2026)

FIB-4 score (unitless) was calculated as (age × AST)/(platelet count × √ALT). Ten-year PREVENT-CVD risk was expressed as a percentage (%) and calculated using the published sex-specific American Heart Association PREVENT base equation. Correlation was quantified using Spearman's rank correlation coefficient (rho; unitless, range -1 to +1). An age-adjusted partial Spearman correlation was also calculated.

次要结局

  • Correlation between FIB-3 score and 10-year PREVENT-CVD risk(At the index clinical evaluation during the retrospective study period (January 1, 2024 to April 30, 2026))
  • Correlation between TyG index and 10-year PREVENT-CVD risk(At the index clinical evaluation during the retrospective study period (January 1, 2024 to April 30, 2026))
  • Correlation between liver stiffness measurement and 10-year PREVENT-CVD risk(At the index clinical evaluation during the retrospective study period (January 1, 2024 to April 30, 2026))
  • Correlation between FIB-4 score and 10-year PREVENT-ASCVD risk(At the index clinical evaluation during the retrospective study period (January 1, 2024 to April 30, 2026))
  • Correlation between FIB-3 score and 10-year PREVENT-ASCVD risk(At the index clinical evaluation during the retrospective study period (January 1, 2024 to April 30, 2026))
  • Correlation between TyG index and 10-year PREVENT-ASCVD risk(At the index clinical evaluation during the retrospective study period (January 1, 2024 to April 30, 2026))
  • Correlation between liver stiffness measurement and 10-year PREVENT-ASCVD risk(At the index clinical evaluation during the retrospective study period (January 1, 2024 to April 30, 2026))
  • Correlation between FIB-4 score and 10-year PREVENT-HF risk(At the index clinical evaluation during the retrospective study period (January 1, 2024 to April 30, 2026))
  • Correlation between FIB-3 score and 10-year PREVENT-HF risk(At the index clinical evaluation during the retrospective study period (January 1, 2024 to April 30, 2026))
  • Correlation between TyG index and 10-year PREVENT-HF risk(At the index clinical evaluation during the retrospective study period (January 1, 2024 to April 30, 2026))
  • Correlation between liver stiffness measurement and 10-year PREVENT-HF risk(At the index clinical evaluation during the retrospective study period (January 1, 2024 to April 30, 2026))

研究者

发起方
Özgür Bahadır
申办方类型
Other
责任方
Sponsor Investigator
主要研究者

Özgür Bahadır

Assitant of Professor

Istanbul Medeniyet University

研究点 (1)

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