Evidence map›Paper›PMID 39600722›Full record

ArticleFrontiers in nutrition2024

Prognostic nutritional index and albuminuria in adults aged 20 years and above: a cross-sectional analysis in the United States.

Zhimeng Jiang, Xingyu Zhu, Huixin Jiang, Donglin Zhao, Feifei Su

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Article in Frontiers in nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Zhimeng JiangGraduate School of Hebei North University, Zhangjiakou, China.
Xingyu ZhuGraduate School of Hebei North University, Zhangjiakou, China.
Huixin JiangHaiyuan College of Kunming Medical University, Kunming, China.
Donglin ZhaoGraduate School of Hebei North University, Zhangjiakou, China.
Feifei SuDepartment of Cardiovascular Medicine, Air Force Medical Center, Chinese People's Liberation Army, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and objective: Albuminuria is an important early marker of kidney damage and progression of chronic kidney disease and is also linked to several chronic systemic diseases. The Prognostic Nutritional Index (PNI) is widely used in the assessment of multiple diseases. However, research dealing with the relationship between PNI and albuminuria remains scarce. This research project aims to examine this association. Methods and materials: The present study employed data from the National Health and Nutrition Examination Survey (NHANES) between 2017 and 2020, including 7,737 adult participants who met the study criteria. PNI was analyzed as a quartile-categorized variable. Multivariable regression models and smoothing curve fitting were adopted to examine the relationship between PNI and albuminuria. In order to ascertain the stability of the association across different populations, subgroup analyses were performed. Results: The study found a statistically significant inverse relationship between higher PNI levels and the prevalence of albuminuria. The fully adjusted model indicates that a one-unit increase in PNI is associated with a 4% reduced odds of albuminuria prevalence [0.96 (0.93, 0.98)]. Quartile analysis showed a stable inverse relationship, with the highest PNI quartile having the significantly lower odds of albuminuria prevalence [0.76 (0.62, 0.94), p for trend = 0.0004]. Smooth curve fitting and two-piecewise linear regression models indicated a nonlinear relationship between PNI and albuminuria, with a turning point at 42. Subgroup analysis confirmed the reliability of the inverse relationship between PNI and albuminuria across all groups. Conclusion: The findings of this study indicated that higher PNI levels are significantly inversely related to the odds prevalence of albuminuria. PNI could serve as an important predictor for the occurrence of albuminuria. Further prospective studies are needed to validate this association.

Indexed as

albuminuriacross-sectional studyinflammationkidney injurynutritionprognostic nutritional index

Identifiers

PMID39600722
PMCPMC11588494

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.