RESUMO
BACKGROUND: Metabolic dysfunction-associated steatotic liver disease (MASLD) primarily affects the adult population and is closely related to obesity. The most severe form of MASLD, metabolic dysfunction-associated steatohepatitis (MASH), can progress to liver fibrosis. While lipoprotein(a) (Lp(a)) is known to be associated with cardiovascular disease, its relationship with MASLD remains unclear. This study aims to determine the prevalence of MASLD in ambulatory patients and to explore the association between Lp(a) levels and advanced liver damage. METHODS: This retrospective cross-sectional study included 130 patients older than 18 years seen in a healthcare center in Medellin, Colombia, between April 2023 and May 2024. Sociodemographic, clinical, and specific biomarker data were collected. Patients with cirrhosis, previous liver disease, frequent alcohol consumption, cancer, and other severe conditions were excluded. Continuous variables were analyzed using Student's t-tests or Mann-Whitney tests according to their distribution, and categorical variables were analyzed using contingency tables and chi-square tests. RESULTS: Of the 130 patients, 57.9% (n=73) had MASLD, with a higher prevalence in patients with obesity (80%, n=32). Lp(a) levels were abnormally high in 43.1% (n=31) of patients; however, a weak but significant inverse correlation was found between Lp(a) levels and the Fibrosis-4 (FIB-4) score, which is used to assess the severity of liver fibrosis. Patients with MASLD had significantly lower high-density lipoprotein (HDL) and vitamin D levels, and higher levels of gamma-glutamyl transferase (GGT). CONCLUSIONS: This study highlights the significant prevalence of MASLD in outpatients and its relationship with various biomarkers, including Lp(a), HDL, vitamin D, and GGT. Although the findings suggest a possible utility of Lp(a) as a biomarker in MASLD, longitudinal studies are needed to confirm these associations and clarify their role in liver disease progression. The study's limitations include its cross-sectional nature and potential selection bias, indicating the need for further research to validate these results.
RESUMO
COVID-19 is an illness caused by the SARS-CoV-2 virus, a type of coronavirus initially identified in China in late 2019, emerging as the leading cause of death attributed to a single infectious agent worldwide. The COVID-19 pandemic poses a substantial challenge to global public health in the first quarter of this century. The rapid evolution of the pandemic and its intricate response have hindered the formulation of definitive conclusions, and it may take years to comprehend its long-term effects. Assessing the extent of organ damage beyond the lungs could guide physicians in the disease's severity or progression. Based on these characteristics, an earlier and more targeted approach can be initiated at the appropriate moment. The association between hepatic profile and mortality in COVID-19 patients is a subject of scientific interest, as SARS-CoV-2 infection can lead to hepatitis. In severe cases, it may induce sepsis-related liver injury, potentially culminating in hepatic failure. METHODOLOGY: The study's objective is to determine the prevalence of mortality in adult patients with elevated hepatic profile hospitalized due to SARS-CoV-2 infection. This cross-sectional, monocentric study was conducted at a healthcare institution in Bogotá, Colombia. RESULTS: This study includes 91 patients with confirmed diagnoses of COVID-19, revealing a prevalence of hepatic profile alterations in 61.5% (n=56) of hospitalized patients. The mortality rate observed is 17.6% (n= 16), with an odds ratio (OR) of 12.4 (95% CI = 1.56-99.0) in patients with hepatic profile alterations. CONCLUSIONS: This research underscores the importance of early detection of hepatic profile alterations in hospitalized patients with COVID-19. Not only are these alterations prevalent, but they are also potentially associated with an increased risk of mortality. These findings emphasize the necessity for further research to enhance strategies and prognostication for patients with COVID-19 in the future.