Evidence map›Paper›PMID 40547920›Full record

ArticleFrontiers in medicine2025

The prognostic nutritional index as a predictor of cardiovascular and all-cause mortality in chronic kidney disease: a population-based analysis of NHANES data (1999-2018).

Weiwei Li, Lumiao Chen, Linsen Jiang, Zhijian Zhang, Kai Song

Abstract read
In one paragraph

Article in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 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.

Weiwei Li *Department of Nephrology, The Second Affiliated Hospital of Soochow University, Suzhou, China.
Lumiao Chen *Department of Nephrology, The Second Affiliated Hospital of Soochow University, Suzhou, China.
Linsen JiangDepartment of Nephrology, The Second Affiliated Hospital of Soochow University, Suzhou, China.
Zhijian ZhangDepartment of Nephrology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical Center, Nanjing Medical University, Wuxi, Jiangsu, China.
Kai SongDepartment of Nephrology, The Second Affiliated Hospital of Soochow University, Suzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study evaluates the predictive value of prognostic nutritional index (PNI) for all-cause and cardiovascular mortality in chronic kidney disease (CKD) patients based on data from the National Health and Nutrition Examination Survey (NHANES), and to explore its variability across different CKD stages. Methods: A total of 4,528 CKD patients from the NHANES database (1999-2018) were included. Cox regression models were used to analyze the association between PNI quartiles (Q1-Q4) and mortality risk. Restricted cubic spline (RCS) analysis was employed to explore non-linear relationships, and subgroup and mediation analyses were conducted. Results: Patients in low PNI group (Q1) exhibited significant metabolic disturbances including elevated blood urea nitrogen and creatinine, reduced albumin and estimated glomerular filtration rate (eGFR). Compared to the Q4 group, the Q1 group had a 67% increased risk of all-cause mortality (HR: 0.598, 95% CI: 0.517-0.692) and a 103% increased risk of cardiovascular mortality (HR: 0.492, 95% CI: 0.374-0.648). RCS analysis revealed a non-linear relationship between PNI and mortality risk (threshold: 52), with significant predictive efficacy in CKD stages 1, 4, and 5 ( Conclusion: PNI is an independent predictor of all-cause and cardiovascular mortality in CKD patients. Future longitudinal studies are warranted to validate its clinical utility and intervention potential.

Indexed as

all-cause mortalitycardiovascular mortalitychronic kidney diseaselymphocyte countmediation analysisnutritional statusprognostic nutritional index

Identifiers

PMID40547920
PMCPMC12179091

What Socratic holds

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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.