scholarly journals Association of neutrophil to lymphocyte ratio (NLR) with angiographic SYNTAX score in patients with non-ST-Segment elevation acute coronary syndrome (NSTE-ACS)

2021 ◽  
Vol 13 (3) ◽  
pp. 216-221
Author(s):  
Mehdi Maleki ◽  
Arezou Tajlil ◽  
Ahmad Separham ◽  
Bahram Sohrabi ◽  
Leili Pourafkari ◽  
...  

Introduction: Considering the role of inflammation in pathogenesis of atherosclerosis, we aimed to investigate the association of presentation neutrophil to lymphocyte ratio (NLR) with complexity of coronary artery lesions determined by SYNTAX score in patients with non-ST-elevation acute coronary syndrome (NSTE-ACS). Methods: From March 2018 to March 2019, we recruited 202 consecutive patients, who were hospitalized for NSTE-ACS and had undergone percutaneous coronary intervention in our hospital. The association of presentation NLR with SYNTAX score was determined in univariate and multivariate linear regression analysis. Results: Higher NLR was significantly associated with higher SYNTAX score (beta= 0.162, P=0.021). In addition, older age, having hypertension, higher TIMI score, and lower ejection fraction on echocardiographic examination were significantly associated with higher SYNTAX score. TIMI score had the largest beta coefficient among the studied variables (TIMI score beta=0.302, P<0.001). In two separate multivariate linear regression models, we assessed the unique contribution of NLR in predicting SYNTAX score in patients with NSTE-ACS. In the first model, NLR was significantly contributed to predicting SYNTAX score after adjustment for age, sex, and hypertension as covariates available on patient presentation (beta=0.142, P=0.040). In the second model, NLR was not an independent predictor of SYNTAX score after adjustment for TIMI score (beta=0.121, P=0.076). Conclusion: In NSTE-ACS, presentation NLR is associated with SYNTAX score. However, NLR does not contribute significantly to the prediction of SYNTAX score after adjustment for TIMI score. TIMI risk score might be a better predictor of the SYNTAX score in comparison to NLR.

2018 ◽  
Vol 08 (05) ◽  
pp. 265-275
Author(s):  
Wassam Eldin Hadad El Shafey ◽  
Ahmed Mohamed Emara ◽  
Walaa Farid Mosa ◽  
Khaled Hussein El-Sharnouby

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Yi Yang ◽  
Yanan Xu ◽  
Jun Wang ◽  
Xueqin Zhai ◽  
Haibing Jiang

Abstract Background Inflammation is involved in the pathogenesis and progression of coronary artery diseases (CADs), including acute coronary syndrome. The neutrophil-to-lymphocyte ratio (NLR) has been identified as a novel marker of the pro-inflammatory state. We aimed to evaluate the predictive efficacy of the NLR for the prognosis of patients with new-onset ACS. Methods We retrospectively included consecutive patients with new-onset ACS treated with emergency coronary angiography. NLR was measured at baseline and analyzed by tertiles. The severity of coronary lesions was evaluated by the Gensini score. Correlations of NLR with the severity of CAD and the incidence of major adverse cardiovascular diseases (MACEs) during follow-up were determined. Results Overall, 737 patients were included. The NLR was positively correlated with the severity of coronary lesions as assessed by Gensini score (P < 0.05). During the follow-up period (mean, 43.49 ± 23.97 months), 65 MACEs occurred. No significant association was detected between baseline NLR and the risk of MACEs during follow-up by either Kaplan–Meier or Cox regression analysis. Multivariable logistic regression analysis showed that a higher NLR was independently associated with coronary lesion severity as measured by the Gensini score (1st tertile vs. 3rd tertile hazard ratio [HR]: 0.527, P < 0.001, and 2nd tertile vs. 3rd tertile HR: 0.474, P = 0.025). Conclusions The NLR may be associated with coronary disease severity at baseline but is not associated with adverse outcomes in patients with new-onset ACS. Ethics Approval Number 2019XE0208


2019 ◽  
Vol 37 ◽  
pp. 4
Author(s):  
Wassam Eldin Hadad El Shafey ◽  
Ahmed Mohamed Emara ◽  
Walaa Farid Mosa ◽  
KhaledHussein El-Sharnouby

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