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- Title
Blood Cell Ratios Unveiled: Predictive Markers of Myocardial Infarction Prognosis.
- Authors
Jercălău, Cosmina Elena; Andrei, Cătălina Liliana; Darabont, Roxana Oana; Guberna, Suzana; Staicu, Arina Maria; Rusu, Cătălin Teodor; Ceban, Octavian; Sinescu, Crina Julieta
- Abstract
Background: Even if the management and treatment of patients with non-ST-elevation myocardial infarction (NSTEMI) have significantly evolved, it is still a burgeoning disease, an active volcano with very high rates of morbidity and mortality. Therefore, novel management and therapeutic strategies for this condition are urgently needed. Lately, theories related to the role of various blood cells in NSTEMI have emerged, with most of this research having so far been focused on correlating the ratios between various leukocyte types (neutrophil/lymphocyte ratio-NLR, neutrophil/monocyte ratio-NMR). But what about erythrocytes? Is there an interaction between these cells and leukocytes, and furthermore, can this relationship influence NSTEMI prognosis? Are they partners in crime? Methods: Through the present study, we sought, over a period of sixteen months, to evaluate the neutrophil/red blood cell ratio (NRR), monocyte/red blood cell ratio (MRR) and lymphocyte/red blood cell ratio (LRR), assessing their potential role as novel prognostic markers in patients with NSTEMI. Results: There was a statistically significant correlation between the NRR, LRR, MRR and the prognosis of NSTEMI patients. Conclusions: These new predictive markers could represent the start of future innovative therapies that may influence crosstalk pathways and have greater benefits in terms of cardiac repair and the secondary prevention of NSTEMI.
- Subjects
ROMANIA; RISK assessment; STATISTICAL correlation; NON-ST elevated myocardial infarction; ERYTHROCYTES; MONOCYTES; STATISTICAL significance; AUTOANALYZERS; RECEIVER operating characteristic curves; NEUTROPHILS; SCIENTIFIC observation; ENZYME-linked immunosorbent assay; LOGISTIC regression analysis; LYMPHOCYTES; DESCRIPTIVE statistics; LONGITUDINAL method; PERCUTANEOUS coronary intervention; BIOMARKERS; REGRESSION analysis
- Publication
Healthcare (2227-9032), 2024, Vol 12, Issue 8, p824
- ISSN
2227-9032
- Publication type
Article
- DOI
10.3390/healthcare12080824