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.
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.
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Who cites it
6 citing papers in PubMed.
- Prognostic Value of the Osaka Prognostic Score for One-Year Mortality in Patients with ST-Segment Elevation Myocardial Infarction: A Retrospective Observational Cohort Study.Journal of clinical medicine · 2026Article
- Age-Dependent Inflammatory, Lipid, and Echocardiographic Phenotypes in Acute Myocardial Infarction: Associations with In-Hospital Adverse Clinical Events.Biomedicines · 2026Article
- Multidomain Biomarkers as Predictors of Cardiovascular Risk in Acute Coronary Syndrome: A Prospective Evaluation.International journal of molecular sciences · 2026Article
- Study of the prognostic value of the systemic immune-inflammation index combined with the triglyceride-glucose index in coronary heart disease: a retrospective study based on the MIMIC database.BMC cardiovascular disorders · 2026Article
- Prognostic significance of the advanced lung cancer inflammation index for long-term mortality in patients with acute myocardial infarction and diabetes.Frontiers in endocrinology · 2026Article
- Preliminary investigation on the correlation between karyopherin alpha 4 and acute cerebral infarction.CytoJournal · 2025Article
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12 authors.
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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.
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