ArticleFrontiers in nutrition2025
Association between prognostic nutritional index and all-cause mortality and cardiovascular disease mortality in American adults with non-alcoholic fatty liver disease.
Article in Frontiers in nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Association of Prognostic Nutritional Index With Mortality in High-Risk OSA Individuals and with Disease Severity in Clinical OSA Patients.Nature and science of sleep · 2026Article
- Analysis of the correlation and predictive performance of GNRI, CONUT, and PNI with MAFLD in Chinese adult physical examination population.Frontiers in nutrition · 2026Article
- Electroacupuncture in the treatment of non-alcoholic fatty liver disease: mechanistic insights and therapeutic potential.Frontiers in medicine · 2026Review
- Obesity indicators mediate the association between the aggregate index of systemic inflammation (AISI) and type 2 diabetes mellitus (T2DM).Lipids in health and disease · 2025Article
- Association of blood cadmium levels with all-cause and cause-specific mortality among adults with non-alcoholic fatty liver disease: a prospective cohort study.Frontiers in public health · 2025Article
- Association of prognostic nutritional index with all-cause and cardiovascular mortality in adults with depression: NHANES 2005-2018.Frontiers in nutrition · 2025Article
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Authors and funding
5 authors.
Funding
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Abstract
Background: The current research was to investigate the relationship between prognostic nutritional index (PNI) and mortality, with a focus on all-cause and cardiovascular disease (CVD) mortality, for those with non-alcoholic fatty liver disease (NAFLD). Methods: Data from 20,142 patients who participated in the National Health and Nutrition Examination Survey (NHANES), which was carried out between 2005 and 2014, were included in this research. To examine the relationship between PNI and both all-cause and cardiovascular mortality, we employed weighted Cox regression models with multiple variables. Kaplan-Meier survival curves were utilized to visualize the survival distribution across different levels of PNI. The non-linear association between PNI and mortality was addressed through penalized spline smoothing. Subgroup analyses were conducted to examine the potential influence of relevant clinical variables on the relationship between PNI and mortality. The precision of PNI in forecasting the outcome of survival was assessed as well using time-dependent receiver operating characteristic curve (ROC) analysis. Results: Kaplan-Meier analysis linked higher PNI to significantly reduced all-cause and CVD mortality. Multivariable Cox models demonstrated that increasing PNI consistently lowered mortality risks. With a threshold value of 50.5, the link between PNI and mortality showed a non-linear pattern after adjusting for confounding factors. Subgroup analyses confirmed robust associations, particularly in race, education, BMI, and fibrosis. Time-dependent ROC analysis highlighted the strong predictive performance of PNI across various time points. Conclusion: PNI played a significant role as an effective predictor of prognosis in individuals diagnosed with NAFLD.
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