Evidence map›Paper›PMID 39911562›Full record

ArticleFrontiers in cardiovascular medicine2025

Prognostic value of inflammatory markers for all-cause mortality in patients with acute myocardial infarction in the coronary care unit: a retrospective study based on MIMIC-IV database.

Fen Cao, Jun-Jun Jiang, Gui Zhang, Jun Liu, Ping Xiao, Yang Tian, Wei Zhang, Sheng Zhang, Feng Hou, Zhong-Wu Bao and 2 more

Abstract read
In one paragraph

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. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

6 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Fen CaoDepartment of Cardiology, Hunan University of Medicine General Hospital, Huaihua, Hunan, China.
Jun-Jun JiangDepartment of Cardiology, Hunan University of Medicine General Hospital, Huaihua, Hunan, China.
Gui ZhangDepartment of Cardiology, Hunan University of Medicine General Hospital, Huaihua, Hunan, China.
Jun LiuDepartment of Cardiology, Hunan University of Medicine General Hospital, Huaihua, Hunan, China.
Ping XiaoDepartment of Cardiology, Hunan University of Medicine General Hospital, Huaihua, Hunan, China.
Yang TianDepartment of Cardiology, Hunan University of Medicine General Hospital, Huaihua, Hunan, China.
Wei ZhangDepartment of Cardiology, Hunan University of Medicine General Hospital, Huaihua, Hunan, China.
Sheng ZhangDepartment of Cardiology, Hunan University of Medicine General Hospital, Huaihua, Hunan, China.
Feng HouDepartment of Cardiology, Hunan University of Medicine General Hospital, Huaihua, Hunan, China.
Zhong-Wu BaoDepartment of Cardiology, Hunan University of Medicine General Hospital, Huaihua, Hunan, China.
Kun WuDepartment of Neurology, Hunan University of Medicine General Hospital, Huaihua, Hunan, China.
Yong-Zhi ZhuDepartment of Cardiology, Hunan University of Medicine General Hospital, Huaihua, Hunan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Acute myocardial infarction (AMI) is prevalent and perilous, leading to mortality and disability in the coronary care unit (CCU). This paper was to verify the correlation of neutrophil-to-lymphocyte ratio (NLR), systemic immune-inflammation index (SII), platelet-to-lymphocyte ratio (PLR), and systemic inflammation response index (SIRI) with all-cause mortality for AMI patients in the CCU. Methods: Adult patients diagnosed with AMI and admitted to CCU were selected from the MIMIC-IV database. Various clinical and laboratory data were extracted. Logistic regression models were employed to determine the correlation between NLR and in-hospital mortality, 30-day mortality, and 90-day mortality. Confounding factors were adjusted to validate the result robustness. Restricted cubic spline (RCS) curves were adopted to analyze the potential correlation between NLR and all-cause mortality. Meanwhile, the area under the receiver operating characteristic (ROC) curve (AUC) was utilized to compare the prediction ability of NLR, SII, PLR, and SIRI in all-cause mortality. Subsequently, subgroup analyses of gender and comorbidities were performed. Results: 1,386 AMI patients in the CCU were enrolled. The NLR was non-linearly and positively associated with in-hospital mortality [Q4: OR (95%CI) 2.61; (1.261-5.626), Conclusions: NLR is nonlinearly and positively associated with all-cause mortality of AMI patients in the CCU. The predictive ability of NLR in in-hospital mortality, 30-day mortality, and 90-day mortality is superior to that of SII, PLR, and SIRI.

Indexed as

acute myocardial infarctionall-cause mortalitycoronary care unitMIMIC-IVneutrophil-to-lymphocyte ratio

Identifiers

PMID39911562
PMCPMC11794309

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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.