Non-Alcoholic Fatty Liver Disease in Patients with Polycystic Ovary Syndrome

Background: The metabolic effects of polycystic ovary syndrome (PCOS) may increase the risk of non-alcoholic fatty liver disease (NAFLD). However, the burden of NAFLD in PCOS has not been unequivocally defined. This systematic review (SR), meta-analysis (MA) assessed NAFLD's prevalence, and ris...

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Detalles Bibliográficos
Autores: Manzano-Nuñez, Ramiro|||0000-0001-7444-9634, Santana-Dominguez, Marta|||0000-0001-7990-6478, Rivera Esteban, Jesús|||0000-0003-4357-8817, Sabiote, Clara, Sena, Elena|||0000-0003-1220-5639, Bañares, Juan|||0000-0002-1966-1947, Tacke, Frank|||0000-0001-6206-0226, Pericàs, Juan M.|||0000-0002-3645-3293
Tipo de recurso: artículo
Fecha de publicación:2023
País:España
Institución:Universitat Autònoma de Barcelona
Repositorio:Dipòsit Digital de Documents de la UAB
Idioma:inglés
OAI Identifier:oai:ddd.uab.cat:273347
Acceso en línea:https://ddd.uab.cat/record/273347
https://dx.doi.org/urn:doi:10.3390/jcm12030856
Access Level:acceso abierto
Palabra clave:Non-alcoholic fatty liver disease
Metabolic dysfunction associated fatty liver disease
Polycystic ovary syndrome
Prevalence
Risk factors
Descripción
Sumario:Background: The metabolic effects of polycystic ovary syndrome (PCOS) may increase the risk of non-alcoholic fatty liver disease (NAFLD). However, the burden of NAFLD in PCOS has not been unequivocally defined. This systematic review (SR), meta-analysis (MA) assessed NAFLD's prevalence, and risk factors in patients with PCOS. Methods: A literature search was performed in MEDLINE, Scopus, and Scielo. First, we performed a MA of proportions to estimate the prevalence of NAFLD in PCOS. Second, we performed meta-analyses of precalculated adjusted odds ratios to examine NAFLD risk factors. Finally, we performed a meta-regression to model how the estimated prevalence changed with changes in prespecified variables. Results: We identified 817 articles from the database searches. Thirty-six were included. MA of proportions found a pooled NAFLD prevalence of 43% (95% CI, 35-52%) with high heterogeneity (I 2 = 97.2%). BMI, waist circumference, ALT values, HOMA-IR values, free androgen index levels, hyperandrogenism, and triglycerides were associated with significantly higher risk-adjusted odds of NAFLD among patients with PCOS. Meta-regression showed that rises in NAFLD prevalence were mediated through increases in metabolic syndrome prevalence and higher levels of HOMA-IR, free androgen index, and total testosterone. Conclusion: The prevalence of NAFLD (43%) among PCOS patients is high despite their average young age, with several metabolic and PCOS-specific factors influencing its occurrence. Screening programs may aid in detecting metabolic-associated fatty liver disease and prevent its consequences. Further work is required to establish the burden of liver-related outcomes once NAFLD has progressed in the PCOS population.