Evidence map›Paper›PMID 40041168›Full record

ArticleFrontiers in cardiovascular medicine2025

The Naples prognostic score as a new predictive index of severe abdominal aortic calcification: a population-based study.

Qiang Tan, Jian Zhang, Yanrong Peng, Rui Yang, Yanbin Zhu, Xi Yong, Hongshun Yin, Jianghua Zheng

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Article in Frontiers in cardiovascular medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Qiang TanVascular Surgery, Affiliated Hospital of North Sichuan Medical College, Nanchong Sichuan, China.
Jian ZhangVascular Surgery, Affiliated Hospital of North Sichuan Medical College, Nanchong Sichuan, China.
Yanrong PengVascular Surgery, Affiliated Hospital of North Sichuan Medical College, Nanchong Sichuan, China.
Rui YangVascular Surgery, Affiliated Hospital of North Sichuan Medical College, Nanchong Sichuan, China.
Yanbin ZhuVascular Surgery, Affiliated Hospital of North Sichuan Medical College, Nanchong Sichuan, China.
Xi YongVascular Surgery, Affiliated Hospital of North Sichuan Medical College, Nanchong Sichuan, China.
Hongshun YinVascular Surgery, Affiliated Hospital of North Sichuan Medical College, Nanchong Sichuan, China.
Jianghua ZhengVascular Surgery, Affiliated Hospital of North Sichuan Medical College, Nanchong Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Abdominal aortic calcification (AAC) is related to inflammation and nutritional status. The Naples prognostic score (NPS) is an innovative biological marker capable of reflecting systemic inflammation and nutritional status. This research seeks to investigate the correlation of NPS with severe abdominal aortic calcification (SAAC). Methods: The research evaluated data obtained from the National Health and Nutrition Examination Survey (NHANES) conducted between 2013 and 2014. The variables were filtered utilizing the Least Absolute Shrinkage and Selection Operator (LASSO) regression. Weighted logistic regression models were employed to examine the association of NPS with SAAC. The predictive value of NPS for the risk of SAAC was assessed utilizing the receiver operating characteristic (ROC) curve. A subgroup analysis was conducted to assess the strength and reliability of the research findings. Results: The research encompassed 2,854 participants, among whom 303 (11.87%) exhibited SAAC. The outcomes of multivariate weighted logistic regression revealed that participants with a NPS of 3-4 points was positively correlated with SAAC in comparison to the control group [odds ratio (OR) = 2.07, 95% confidence interval (95%CI): 1.17-3.67]. The area under the curve (AUC) for predicting the risk of SAAC using NPS was 0.635. The subgroup analysis results indicated that there was no significant difference noted in the association of NPS with SAAC across various population subgroups. Conclusion: A positive association of NPS with SAAC has been observed in this research. This study offers valuable insights into the prevention and diagnosis of SAAC. Future longitudinal studies are warranted to confirm causative relationships and assess the role of NPS in clinical decision-making for SAAC.

Indexed as

abdominal aortic calcificationcardiovascular diseasecross-sectional studyNaples prognostic scoreNHANES

Identifiers

PMID40041168
PMCPMC11876411

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