ArticleImmunity, inflammation and disease2025
The Complex Inflammatory and Nutritional Indices to Predict Prognostic Risk for Patients With Acute Coronary Syndrome Undergoing Percutaneous Coronary Intervention.
Article in Immunity, inflammation and disease, 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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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.
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.
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Who cites it
6 citing papers in PubMed.
- Development of a Risk Stratification Model for Coronary In-Stent Restenosis Based on Clinical, Laboratory, and Procedural Factors: A Case-Control Study.Journal of clinical medicine · 2026Article
- The prognostic value of systemic inflammatory response index (SIRI) in acute coronary syndrome patients treated with primary percutaneous coronary intervention: a meta-analysis and systematic review.Clinical research in cardiology : official journal of the German Cardiac Society · 2026Article
- Clinical validation study of a novel prognostic risk prediction model (CHIP Score) for interventional therapy in patients with NSTE-ACS-a single-center retrospective cohort study based on 348 patients.BMC cardiovascular disorders · 2026Article
- Association of the Geriatric Nutritional Risk Index With Prognosis in Patients With Acute Coronary Syndrome Undergoing Percutaneous Coronary Intervention.Immunity, inflammation and disease · 2026Article
- Predictive Scoring Model for In-Stent Restenosis Risk in Coronary Artery Disease Patients.Medical science monitor : international medical journal of experimental and clinical research · 2025Article
- Prognostic Value of the Systemic Inflammatory Response Index in Patients with Acute Coronary Syndrome and Obstructive Sleep Apnea.Journal of inflammation research · 2025Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
purposeTo investigate the role of the systemic inflammatory response index (SIRI) and high-density lipoprotein cholesterol (HDL-C) and low-density lipoprotein cholesterol (LDL-C) levels in predicting the risk of major adverse cardiovascular events (MACEs) in patients with acute coronary syndrome (ACS) undergoing percutaneous coronary intervention (PCI). PATIENTS AND
methodsOverall, 1377 patients with ACS who underwent PCI between January 2016 and December 2018 were consecutively enrolled. The patients were divided into MACEs (n = 60) and non-MACEs (n = 1317) groups. The study endpoints were MACEs, including cardiac-related mortality and rehospitalization for severe heart failure (HF), myocardial infarction (MI), and in-stent restenosis.
resultsBoth groups showed significant differences in the patients with age > 65 years, history of HF, acute MI, cardiogenic shock, left ventricular ejection fraction < 40%, SIRI ≥ 2.848, SIRI/HDL-C ≥ 1.977, and SIRI × LDL-C ≥ 4.609. The Kaplan-Meier curve showed that the low SIRI group had higher cumulative survival than the high SIRI group. Additionally, the univariate and multivariate Cox proportional hazards model demonstrated that SIRI ≥ 2.848, SIRI/HDL-C ≥ 1.977, and SIRI × LDL-C ≥ 4.609 were independent risk factors for patients with ACS undergoing PCI. Restricted cubic spline models were generated to visualize the relationship between SIRI, SIRI/HDL-C, and SIRI × LDL-C and the prognostic risk.
conclusionSIRI ≥ 2.848, SIRI/HDL-C ≥ 1.977, and SIRI × LDL-C ≥ 4.609 were all independent prognostic risk factors in patients with ACS undergoing PCI, which may be useful markers for assessment for long prognosis.
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Registered trials
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 Socratic graph.