Why the study?
Correlations between the derived neutrophil-lymphocyte ratio (dNLR) and clinical outcomes in patients with ACS undergoing PCI remain unclear.
Do high derived neutrophil-lymphocyte ratio (dNLR) and systemic immune-inflammatory index (SII) predict major adverse cardiovascular events in patients with acute coronary syndrome undergoing percutaneous coronary intervention?
Do high derived neutrophil-lymphocyte ratio (dNLR) and systemic immune-inflammatory index (SII) predict major adverse cardiovascular events in patients with acute coronary syndrome undergoing percutaneous coronary intervention?
Elevated derived neutrophil-lymphocyte ratio (dNLR) and systemic immune-inflammatory index (SII) serve as independent prognostic markers for increased risk of mortality and heart failure rehospitalization in ACS patients post-PCI.
The systemic immune-inflammatory index (SII) and derived neutrophil-lymphocyte ratio (dNLR) are novel indexes that simultaneously reflect the host inflammatory and immune status and have prognostic value in some cancers. SII was associated with major cardiovascular events in coronary artery disease patients who received percutaneous coronary intervention (PCI). However, dNLR correlations with clinical outcomes in acute coronary syndrome (ACS) patients undergoing PCI remain unclear. This study aimed to elucidate the predictive values of SII and dNLR on the long-term prognosis of patients with ACS undergoing PCI. In total, 1,553 ACS patients undergoing PCI were consecutively enrolled from January 2016 to December 2018. The subjects were divided into high and low SII and dNLR groups for comparison (high vs. low). The SII and dNLR cutoff values for predicting major adverse cardiovascular events (MACE) were calculated using receiver operating characteristic curves, and Kaplan-Meier curves and Cox regression models were used for survival analyses. The endpoint was a MACE, which included all-cause mortality and rehospitalization for severe heart failure during follow-up. The Kaplan-Meier curves showed that a higher SII or dNLR value was associated with a higher risk of MACE (all P < 0.001). Multivariate Cox regression models showed that SII (hazard ratio [HR]: 2.545; 95% confidence interval [CI]: 1.416-4.574; P = 0.002) and dNLR (HR: 2.610, 95% CI: 1.454-4.685, P = 0.001) were independent predictors for MACE. dNLR may be a suitable laboratory marker to identify high-risk ACS patients after PCI.
No takes yet. Share an insight, caveat, or question.
Fan et al. (2021) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: