Evidence map›Paper›PMID 40093943›Full record

ArticleJournal of inflammation research2025

Association and Comparison of Systemic Inflammation Indicators and Myocardial Injury After Noncardiac Surgery in Older Patients.

Bingbing Meng, Kai Zhang, Chang Liu, Siyi Yao, Zhao Li, Jingsheng Lou, Qiang Fu, Yanhong Liu, Jiangbei Cao, Weidong Mi and 1 more

Abstract read
In one paragraph

Article in Journal of inflammation research, 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

11 authors.

Bingbing Meng *Medical School of Chinese People's Liberation Army (PLA), Beijing, People's Republic of China.
Kai Zhang *Medical School of Chinese People's Liberation Army (PLA), Beijing, People's Republic of China.
Chang LiuDepartment of Anesthesiology, The First Medical Center, Chinese People's Liberation Army General Hospital (PLAGH), Beijing, People's Republic of China.
Siyi YaoMedical School of Chinese People's Liberation Army (PLA), Beijing, People's Republic of China.
Zhao LiMedical School of Chinese People's Liberation Army (PLA), Beijing, People's Republic of China.
Jingsheng LouMedical School of Chinese People's Liberation Army (PLA), Beijing, People's Republic of China.ORCID 0000-0002-0295-5105
Qiang FuMedical School of Chinese People's Liberation Army (PLA), Beijing, People's Republic of China.
Yanhong LiuMedical School of Chinese People's Liberation Army (PLA), Beijing, People's Republic of China.
Jiangbei CaoMedical School of Chinese People's Liberation Army (PLA), Beijing, People's Republic of China.
Weidong MiMedical School of Chinese People's Liberation Army (PLA), Beijing, People's Republic of China.
Hao LiMedical School of Chinese People's Liberation Army (PLA), Beijing, People's Republic of China.ORCID 0000-0002-9759-2537

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To identify the association between preoperative inflammatory state and myocardial injury after noncardiac surgery (MINS) in older patients using systemic inflammation indicators neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and systemic immune-inflammation index (SII) and to compare their clinical predictive values. Methods: This study included patients aged ≥65 years who underwent noncardiac surgery between January 2017 and August 2019. The relationship between preoperative inflammatory state and MINS was investigated using univariate and multivariate logistic regression analyses. The predictive values of NLR, PLR, and SII were determined by receiver operating characteristic (ROC) curve analysis. Based on the basic model we constructed, the predictive values were compared through separately adding NLR, PLR and SII. Results: Among 12464 patients, 965 (7.74%) developed MINS. The optimal cut-off values of NLR, PLR, and SII were 597×10 Conclusion: Higher preoperative inflammation levels are associated with an increased risk of MINS. The NLR, PLR, and SII are independent risk factors for MINS and NLR demonstrated better predictive value than that of PLR and SII.

Indexed as

MINSmyocardial injury after noncardiac surgeryneutrophil-to-lymphocyte ratioNLRplatelet-to-lymphocyte ratioPLRSIIsystemic, immune, inflammation index

Identifiers

PMID40093943
PMCPMC11909506

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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.