AI Article Synopsis

  • This study investigates how inflammatory cells in peripheral blood can predict outcomes for patients with acute coronary syndrome (ACS) undergoing a specific heart procedure (PCI).
  • Patients were followed for about 1142 days, and the study categorized them based on their experience with major adverse cardiac events (MACE).
  • Results showed that certain ratios of inflammatory cells (NLR, MLR, PLR) were higher in patients experiencing MACE, suggesting these markers can help predict risks and guide treatment decisions.

Article Abstract

Objective: This study aimed to investigate the predictive value of inflammatory cells in peripheral blood on the prognosis of patients with acute coronary syndrome (ACS) undergoing percutaneous coronary intervention (PCI).

Methods: Patients (n=1558) were consecutively enrolled and the median follow-up was 1142 days. Patients were divided into the major adverse cardiac events (MACE) 1 group (n=63) (all-cause mortality [n=58] and rehospitalization for severe heart failure [n=5], no MACE1 group (n=1495), MACE2 group (n=38) (cardiac mortality [n=33] and rehospitalization for severe heart failure [n=5]), and no MACE2 group (n=1520). The neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), and platelet-to-lymphocyte ratio (PLR) were analyzed.

Results: The NLR, MLR, and PLR were higher in the MACE groups than in the no MACE groups. Different subsets of inflammatory cells had similar diagnostic values for MACE. Kaplan-Meier curves showed that the survival time gradually decreased with an increase in the degree of risk as determined by the NLR, MLR, and PLR. The risk of MACE was highest in the extremely high-risk group.

Conclusion: Peripheral blood inflammatory cell subsets can predict MACE in patients with ACS undergoing PCI. These cell subsets could be important laboratory markers for the prognosis and clinical treatment of these patients.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8755652PMC
http://dx.doi.org/10.1177/03000605211010059DOI Listing

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