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Impact of Steatotic Liver Disease Associated With Metabolic Dysfunction (MASLD) on Frailty, Cognition, and Quality of Life. A Gender-sensitive Approach Towards a Comprehensive and Equitable Perspective.

IIBSP-MAS-2025-133

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT07652892
Acronym
MASLD
Enrollment
140
Registered
2026-06-17
Start date
2026-05-26
Completion date
2028-05-25
Last updated
2026-06-17

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Steatosis of Liver

Keywords

A condition characterized by the accumulation of fat in the liver, which is closely linked to metabolic disorders and occurs with low or no alcohol consumption.

Brief summary

The goal of this observational study is to determine the differences in the prevalence, characteristics and evolution of frailty between men and women diagnosed with MASLD, and to establish its relationship with clinical, functional, hormonal and social parameters.

Interventions

None listed

Sponsors

Fundació Institut de Recerca de l'Hospital de la Santa Creu i Sant Pau
Lead SponsorOTHER

Study design

Observational model
CASE_ONLY
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
20 Years to 80 Years
Healthy volunteers
No

Inclusion criteria

* Patients will be included who are able to provide informed consent and actively participate in periodic assessments.

Exclusion criteria

* Risky alcohol consumption: \> 30 g/day in men and \> 20 g/day in women. AUDIT score: \> 7 points in men, \> 5 in women. * Other liver diseases (viral hepatitis, autoimmune hepatitis, etc.). * Advanced neurodegenerative diseases or severe psychiatric disorders. * Severe comorbidities or treatments that, in the researchers' judgment, may affect frailty and quality of life more than metabolic syndrome and liver disease.

Design outcomes

Primary

MeasureTime frameDescription
Change in Liver Frailty Index (LFI) scoreBaseline to Month 12Change in Liver Frailty Index (LFI) score from baseline to follow-up. Higher values indicate worsening frailty, whereas lower values indicate improvement in frailty.
Fried Frailty IndexBaseline to Month 12The Fried Frailty Index assesses frailty based on five components: unintentional weight loss, exhaustion, weakness, slow walking speed, and low physical activity. Higher scores indicate greater frailty. Positive change scores indicate worsening frailty, whereas negative change scores indicate improvement.

Secondary

MeasureTime frameDescription
Association Between Frailty and Functional Performance MeasuresBaseline to Month 12Association between frailty status (LFI and Fried Frailty Index) and functional performance assessed by gait speed, Timed Up and Go test, handgrip strength, and balance.
Association Between Frailty and Inflammatory, Metabolic, and Oxidative Stress BiomarkersBaseline to Month 12.Relationship between frailty status and circulating inflammatory, metabolic, and oxidative stress biomarkers.
Association Between Frailty and Hormonal ParametersBaseline to Month 12Relationship between frailty status and hormonal parameters, including female-specific variables such as menstrual status, menopausal status, and hormone replacement therapy use.
Association Between Frailty and Body CompositionBaseline to Month 12Relationship between frailty status and body composition parameters assessed by bioelectrical impedance analysis, including phase angle.
Association Between Frailty and Gut Microbiota CompositionBaseline to Month 12Relationship between frailty status and fecal microbiota composition assessed by shotgun metagenomic sequencing.
Association Between Frailty and Cognitive Function, Quality of Life, and Self-EsteemBaseline to Month 12Relationship between frailty status and cognitive performance, quality of life, illness perception, and self-esteem assessed using validated questionnaires.
Association Between Frailty and Social Determinants of Health and Gender RolesBaseline to Month 12Relationship between frailty status and social determinants of health, health literacy, and gender-related factors.
Development of an Artificial Intelligence-Based Frailty Risk Prediction ModelBaseline to Month 12Development and evaluation of a predictive model integrating clinical, functional, biochemical, hormonal, microbiota, cognitive, psychosocial, and gender-related variables to identify patients at increased risk of frailty progression over one year.

Countries

Spain

Contacts

CONTACTEva Román, Digestive Pathology Nurse
ERoman@santpau.cat0034630818580
CONTACTGerman Soriano, Digestive Pathology MD
gsoriano@santpau.cat
PRINCIPAL_INVESTIGATOREva Roman

Institut de Recerca IR Sant Pau

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Jun 18, 2026