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

被引:0
|
作者
Xie, Jiao [1 ]
He, Qingliu [2 ]
Fisher, David [3 ]
Pronyuk, Khrystyna [4 ]
Musabaev, Erkin [5 ]
Zhao, Lei [6 ]
机构
[1] Huazhong Univ Sci & Technol, Union Hosp, Tongji Med Coll, Hlth Management Ctr, Wuhan 430022, Peoples R China
[2] Fujian Med Univ, Dept Urol, Affiliated Hosp 2, Quanzhou 362000, Peoples R China
[3] Univ Western Cape, Fac Nat Sci, Dept Med Biosci, Cape Town, South Africa
[4] O Bogomolets Natl Med Univ, Infect Dis Dept, Kyiv, Ukraine
[5] Minist Hlth, Res Inst Virol, Tashkent 100122, Uzbekistan
[6] Huazhong Univ Sci & Technol, Union Hosp, Tongji Med Coll, Dept Infect Dis, Wuhan 430022, Hubei, Peoples R China
来源
SCIENTIFIC REPORTS | 2025年 / 15卷 / 01期
基金
中国国家自然科学基金;
关键词
Metabolic dysfunction-associated steatotic liver disease; Steatosis; PAR; NHANES; PREOPERATIVE PLATELET; SERUM-ALBUMIN; INFLAMMATION;
D O I
10.1038/s41598-025-92837-5
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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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页数:10
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