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Association of platelet to albumin ratio with metabolic dysfunction-associated steatotic liver disease based on the National Health and Nutrition Survey 2017–2018

Jinbo XieHealth Management Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, ChinaQingliu HeDepartment of Urology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, ChinaDavid FisherDepartment of Medical Biosciences, Faculty of Natural Sciences, University of The Western Cape, Cape Town, South AfricaKhrystyna PronyukInfectious Diseases Department, O.Bogomolets National Medical University, Kyiv, UkraineErkin MusabaevThe Research Institute of Virology, Ministry of Health, Tashkent, 100122, UzbekistanLei ZhaoDepartment of Infectious Diseases, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, Hubei, China. [email protected]
Scientific Reportsjournal2025en
ABI

Аннотация

The prevalence and incidence of metabolic dysfunction-associated steatotic liver disease (MASLD) are significantly increasing globally, but the index of non-invasive disease is limited. Platelet-albumin ratio(PAR) is a non-invasive biomarker of inflammation, the aim of this study was to evaluate the relationship between PAR and MASLD. This population-based cross-sectional retrospective study analyzed data extracted from the National Health and Nutrition Survey (NHANES) database from 2017 to 2018. Multivariate logistic regression analysis was used to evaluate the correlation between PAR and MASLD in different models. Model I was unadjusted, model II adjusted for race, sex and age, and model III was adjusted based on model II plus smoking status, hypertension, and diabetes. Further subgroup analysis was carried out according to sex, age, hypertension and diabetes status. The study involved 3287 participants, of whom 873 (26.5%) were diagnosed with MASLD. The PAR level in MASLD group was significantly higher than non-MASLD group (P < 0.05). Multivariate logistic regression revealed that high PAR level was an independent risk factor for MASLD (OR = 2.58, 95%CI: 1.26-5.27, P = 0.03), which adjusted for sex, age, race, smoking status, hypertension, and diabetes.The same results were observed in multiple subgroups of further subgroup analysis, and it can effectively predict the risk of MASLD (AUC = 0.842, 95% CI: 0.826-0.859). In conclusion, the new biomarker PAR shows a positive correlation with the risk of MASLD in the population, and can be used as a biomarker of MASLD to help clinicians identify people at high risk of MASLD.

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