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Abstract

Background

Non-ST-elevation myocardial infarction (NSTEMI) represents a prevalent form of acute coronary syndrome associated with substantial early risk of adverse outcomes. Inflammatory and metabolic disturbances are increasingly recognized as key contributors to the disease. Hematologic indices such as the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), and pan-immune-inflammation value (PIV), along with the triglyceride-glucose index adjusted for BMI (TyG-BMI), have emerged as promising prognostic markers. However, their dynamic behavior in early NSTEMI remains insufficiently explored.

Materials and methods

This prospective study included 170 patients hospitalized for NSTEMI at the University Clinical Centre Tuzla between February 2022 and January 2023. Hematologic and metabolic indices were calculated at admission and repeated 24 hours later. Patients were followed for three months to document major adverse cardiovascular events (MACE), including cardiovascular death, reinfarction, and urgent revascularization. The median age was 67 years, and 60.6% of patients were male. Hypertension, hyperlipidemia, and diabetes mellitus were the most common comorbidities.

Results

Significant 24-hour reductions were observed in NLR, PLR, SII, SIRI, and PIV (all p < 0.01), while C-reactive protein (CRP) levels more than doubled (p < 0.001). Patients who developed MACE showed persistently elevated inflammatory indices and smaller declines in PIV and SIRI. Change in SIRI (ΔSIRI) demonstrated the strongest predictive value (AUC = 0.63), followed by SII and TyG-BMI. Notably, reduced resolution of PIV and persistently elevated TyG-BMI were significantly associated with adverse outcomes. Overall, MACE occurred in 51.2% of patients, including a 14.7% mortality rate.

Conclusion

Early changes in systemic inflammation and metabolic stress, particularly SIRI and TyG-BMI dynamics, offer valuable prognostic insight and may enhance early risk stratification in NSTEMI patients.

Details

1009240
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Title
Integration of Hematologic and Metabolic Biomarkers for Outcome Prediction in Acute Coronary Syndromes Without ST Elevation
Author
Becirovic Emir 1 ; Minela, Becirovic 2 ; Kenana, Ljuca 3 ; Becirovic Amir 4 ; Babic Mirza 5 ; Ljuca Nadina 6 ; Babic Jusic Zarina 7 ; Begagic Emir 8 ; Mujakovic Elma 9 ; Terzic Anesa 10 

 Internal Medicine Clinic, University Clinical Centre Tuzla, Tuzla, BIH, Intensive Care Unit, University Clinical Centre Tuzla, Tuzla, BIH 
 Internal Medicine Clinic, University Clinical Centre Tuzla, Tuzla, BIH, Nephrology, University Clinical Centre Tuzla, Tuzla, BIH 
 Gynecology and Obstetrics, University Clinical Centre Ljubljana, Ljubljana, SVN 
 Endocrinology, University Clinical Centre Tuzla, Tuzla, BIH 
 Internal Medicine, Cantonal Hospital Bihać, Bihać, BIH 
 Medicine, University of Tuzla, Tuzla, BIH 
 Radiology, Cantonal Hospital Bihać, Bihać, BIH 
 General Medicine, School of Medicine, University of Zenica, Zenica, BIH 
 Anatomy, Faculty of Medicine, University of Tuzla, Tuzla, BIH 
10  General Medicine, Health Center Gračanica, Gračanica, BIH 
Publication title
Cureus; Palo Alto
Volume
17
Issue
6
Number of pages
12
Publication year
2025
Publication date
2025
Publisher
Springer Nature B.V.
Place of publication
Palo Alto
Country of publication
Netherlands
University/institution
U.S. National Institutes of Health/National Library of Medicine
Publication subject
e-ISSN
21688184
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Online publication date
2025-06-20
Milestone dates
2025-06-20 (Accepted)
Publication history
 
 
   First posting date
20 Jun 2025
ProQuest document ID
3234802163
Document URL
https://www.proquest.com/scholarly-journals/integration-hematologic-metabolic-biomarkers/docview/3234802163/se-2?accountid=208611
Copyright
Copyright © 2025, Becirovic et al. This is an open access article distributed under the terms of the Creative Commons Attribution License CC-BY 4.0., which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2025-12-04
Database
ProQuest One Academic