Evidence map›Paper›PMID 40325135›Full record

ArticleScientific reports2025

Association of neutrophil-percentage-to-albumin ratio with all-cause and cardiovascular mortality in patients with diabetes and prediabetes from the NHANES 1999-2018.

Jun Chen, Zhen Zhang, Zhonghua Teng, Qingchun Zeng

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Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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5citing 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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5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Jun ChenState Key Laboratory of Organ Failure Research, Department of Cardiology, Nanfang Hospital, Southern Medical University, 1838 Northern Guangzhou Ave, Guangzhou, 510515, China.
Zhen ZhangGuangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Southern Medical University, Guangzhou, China.
Zhonghua TengState Key Laboratory of Organ Failure Research, Department of Cardiology, Nanfang Hospital, Southern Medical University, 1838 Northern Guangzhou Ave, Guangzhou, 510515, China.
Qingchun ZengState Key Laboratory of Organ Failure Research, Department of Cardiology, Nanfang Hospital, Southern Medical University, 1838 Northern Guangzhou Ave, Guangzhou, 510515, China. qingchunzeng@smu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The neutrophil-percentage-to-albumin ratio (NPAR) has emerged as a concise and effective biomarker for assessing systemic inflammatory status, with established prognostic value for mortality risk across various disease populations. This study aimed to elucidate the association between NPAR and both all-cause and cardiovascular mortality in patients with diabetes and prediabetes. A cohort of 8560 patients with diabetes and prediabetes was recruited from the National Health and Nutrition Examination Survey (NHANES), with mortality outcomes tracked through the National Death Index up to December 31, 2019. A weighted Cox regression model was used to evaluate the association of NPAR with all-cause and cardiovascular mortality. The restricted cubic spline (RCS) curve was used to assess the nonlinear relationship between NPAR and mortality outcomes. Subgroup analysis was conducted to evaluate the differences in the predictive performance of various NPAR features across different subgroups. Cox regression analysis indicated that participants in the highest quartile of NPAR exhibited a substantially increased risk of all-cause mortality (hazard ratio [HR] 1.54; 95% confidence interval [CI] 1.28-1.87) and cardiovascular death (HR 2.04; 95% CI 1.47-2.84) compared to the reference group. The RCS curve further illustrated a significant nonlinear correlation between NPAR and outcomes in patients with diabetes and prediabetes. NPAR can serve as a robust nonlinear predictor for both all-cause and cardiovascular mortality in individuals diagnosed with diabetes or prediabetes.

Indexed as

Cardiovascular DiseasesDiabetes MellitusNeutrophilsPrediabetic StateSerum AlbuminAdultAgedBiomarkersFemaleHumansMaleMiddle AgedNutrition SurveysPrognosisProportional Hazards ModelsRisk FactorsBiomarkersSerum AlbuminCardiovascularDiabetesMortalityNHANESNPAR

Identifiers

PMID40325135
PMCPMC12052782

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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 OpenQuestion graph.