Logistic regression for FIB4, FIB4Q.

<div><p>This study utilized data from the National Health and Nutrition Examination Survey (NHANES) 2005–2020 (n = 28,231, including 4,907 chronic kidney disease (CKD) patients) with weighted analyses and, through variance inflation factor (VIF) assessment to verify covariate selection,...

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محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Zheng-Yang Zhu (21956898) (author)
مؤلفون آخرون:	Ke-Jun Ren (21956901) (author), Xiao-Wei Duan (21956904) (author), Xu-Lei Hu (21956907) (author), Yong Lv (5682287) (author), Dong Wang (73290) (author), Hua Jin (320594) (author), Lei Zhang (38117) (author)
منشور في:	2025
الموضوعات:	Medicine Sociology Science Policy Biological Sciences not elsewhere classified verify covariate selection variance inflation factor supported model validity study utilized data restricted cubic spline receiver operating characteristic offering critical insights nutrition examination survey mediation analysis indicated low physical activity hispanic black individuals 64 &# 8211 51 &# 8211 27 &# 8211 24 &# 8211 2005 &# 8211 cvd mortality association fib4 &# 8211 auc ): 0 cvd mortality ), cvd mortality ). cause mortality association significant independent predictor cvd mortality cause mortality cardiovascular mortality independent predictor 08 ), 02 ). xlink "> weighted analyses unit increase strong dose risk stratification response gradient older adults national health lymphocyte ratio inflection points index serves increased risk hazard ratio first time findings establish fib4 index elevated risk confidence interval cardiovascular disease based tool
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Logistic regression for FIB4, FIB4Q.

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