Evidence map›Paper›PMID 40697546›Full record

ArticleFrontiers in nutrition2025

Controlling Nutritional Status (CONUT) score for predicting all-cause mortality in patients who underwent percutaneous coronary intervention after acute myocardial infarction: a cohort study.

Yang Song, Su Han, Shiru Zhang, Yalun Yuan, Meizhu Wang, Zhaoqing Sun

Abstract read
In one paragraph

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 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Yang Song *Department of Cardiology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.
Su Han *Department of Cardiology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.
Shiru ZhangDepartment of Cardiology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.
Yalun YuanDepartment of Cardiology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.
Meizhu WangDepartment of Cardiology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.
Zhaoqing SunDepartment of Cardiology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Controlling Nutritional Status (CONUT) score, a novel marker reflecting the malnutrition, has been demonstrated to predict all-cause mortality and major adverse cardiovascular events (MACE) in a wide range of diseases. The research intends to assess the clinical effects of malnutrition on patients who have percutaneous coronary intervention (PCI) after acute myocardial infarction (AMI). Methods: In this retrospective observational study, we consecutively enrolled 3258 patients diagnosed with AMI from 2010 to 2016. Patients were categorized into three groups based on the CONUT score: normal, mild malnutrition, and moderate and severe malnutrition. The primary outcome was all-cause mortality. We develop cox proportional hazards models to investigate the relationship between the CONUT score and all-cause mortality among patients who underwent PCI after AMI. Results: According to the assessment via the CONUT score, a total of 43.7% patients experienced mild malnutrition, and 4.8% patients experienced moderate and severe malnutrition. During a median follow-up period of 8.6 years, there were 610 patients (18.7%) suffered from all-cause mortality. As malnutrition severity intensified, the occurrence of the primary endpoint saw a steady rise. After adjusting for multiple variables, the group classified with moderate and severe malnutrition exhibited an odds ratio of 1.56 (95% CI 1.13 to 2.15, Conclusion: Malnutrition is prevalent among patients with AMI and is significantly associated with an increased incidence of all-cause mortality. As a nutritional assessment tool, the CONUT score effectively aids in risk stratification and predicts poor prognosis in patients. Additional prospective clinical trials are required to evaluate the influence of nutritional interventions on outcomes in patients undergoing PCI after AMI.

Indexed as

acute myocardial infarctionCONUTmalnutritionpercutaneous coronary interventionprognosis

Identifiers

PMID40697546
PMCPMC12279502

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