Evidence map›Paper›PMID 38269629›Full record

ArticleClinical cardiology2024

Elevated uric acid/albumin ratio as a predictor of poor coronary collateral circulation development in patients with non-ST segment elevation myocardial infarction.

Renlin Yin, Zongwei Ye, Hua You, Yanming Wu, Weixiang Chen, Tingbo Jiang

Abstract read
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Article in Clinical cardiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
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  5. Review
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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Renlin YinDepartment of Cardiology, The First Affiliated Hospital of Soochow University, Suzhou, China.ORCID http://orcid.org/0000-0001-8879-9862
Zongwei YeDepartment of Cardiology, Suzhou Ninth Hospital Affiliate to Soochow University, Suzhou, China.
Hua YouDepartment of Cardiology, Suzhou Ninth Hospital Affiliate to Soochow University, Suzhou, China.
Yanming WuDepartment of Cardiology, Suzhou Ninth Hospital Affiliate to Soochow University, Suzhou, China.
Weixiang ChenDepartment of Cardiology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Tingbo JiangDepartment of Cardiology, The First Affiliated Hospital of Soochow University, Suzhou, China.

Funding

Suzhou Special Project Fund for Key Clinical Disease Diagnosis and Treatment Technology LCZX202232
6 · The paper itself

Abstract

backgroundUric acid/albumin ratio (UAR) is a novel composite biomarker with superior predictive value for cardiovascular disease.

objectiveTo investigate the relationship between UAR and coronary collateral circulation (CCC) in patients with non-ST segment elevation myocardial infarction (NSTEMI).

methodsA total of 205 NSTEMI patients who underwent coronary arteriography with at least one major coronary stenosis, 95% were included. Patients were divided into two groups according to CCC development: poorly-developed CCC group (Rentrop 0-1) and well-developed CCC (Rentrop 2-3). Univariate analysis and logistic regression analysis were utilized to investigate the factors influencing adverse CCC formation in NSTEMI patients. The receiver operating characteristic (ROC) curve was plotted to evaluate the predictive value of UAR, C-reactive protein (CRP), uric acid, and albumin for patients with poorly developed CCC, and the area under the curve (AUC) was compared.

resultsThe UAR values of NSTEMI patients were significantly higher in the poorly developed CCC group than those in the well-developed CCC group (10.19 [8.80-11.74] vs. 7.79 [6.28-9.55], p < .001). In the multiple logistic regression tests, UAR (odds ratio [OR]: 1.365, 95% confidence interval [CI]: 1.195-1.560, p < .001), CRP (OR: 1.149, 95% CI: 1.072-1.231, p < .001), and diabetes (OR: 2.924, 95% CI: 1.444-5.920, p = .003) were independent predictors of poorly developed CCC. The ROC curve analysis showed that the optimal cut-off value of UAR was 8.78 in predicting poorly developed CCC with a sensitivity of 76.8% and specificity of 62.4%, with the AUC of 0.737 (95% Cl: 0.668-0.805, p < .001).

conclusionElevated UAR may be an independent and effective biomarker for predicting poorly-developed CCC development in NSTEMI patients.

Indexed as

Coronary StenosisNon-ST Elevated Myocardial InfarctionST Elevation Myocardial InfarctionAlbuminsBiomarkersCollateral CirculationC-Reactive ProteinHumansUric AcidAlbuminsBiomarkersC-Reactive ProteinUric Acidcoronary collateral circulationnon-ST segment elevation myocardial infarctionRentrop gradeuric acid to albumin ratio

Identifiers

PMID38269629
PMCPMC10790324

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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.