Literature DB >> 32681888

Higher neutrophil-to-lymphocyte ratio (NLR) increases the risk of suboptimal platelet inhibition and major cardiovascular ischemic events among ACS patients receiving dual antiplatelet therapy with ticagrelor.

Monica Verdoia1, Matteo Nardin2, Rocco Gioscia3, Federica Negro2, Marco Marcolongo4, Harry Suryapranata5, Elvin Kedhi6, Giuseppe De Luca7.   

Abstract

BACKGROUND: Neutrophil to lymphocyte ratio (NLR) has emerged as a useful and easy-to-assess prognostic tool and biomarker of cardiovascular risk. However, few studies have evaluated its role on platelet inhibition among patients on dual antiplatelet therapy (DAPT), and especially in the settings of acute coronary syndromes (ACS). We aimed at assessing the impact of NLR on platelet reactivity and the risk of major ischemic events at long-term follow-up among ACS patients on DAPT with ticagrelor.
METHODS: Patients on dual antiplatelet therapy with ASA + ticagrelor (90 mg/twice a day) after percutaneous coronary revascularization for ACS were scheduled for platelet function assessment 30-90 days post-discharge. Aggregation tests were performed by Multiple Electrode Aggregometry (MEA). Suboptimal platelet inhibition (HRPR-high residual platelet reactivity was defined if above the lower limit of normality (417 AU*min). The primary study endpoint was defined as the occurrence of major cardiovascular events (a composite of cardiovascular death, recurrent acute coronary syndrome, target vessel revascularization) at longest available follow-up.
RESULTS: We included 397 patients, that were divided according to NLR tertiles. Patients with higher NLR were older (p < .001), less frequently smokers (p = .03), with higher rates of renal failure (p = .001), previous bypass surgery (p = .05) and use of statins (p = .03) and diuretics (p = .01). Higher white blood cells count and C-reactive protein (p < .001) and lower haemoglobin (p = .001) were associated with NLR. Mean platelet reactivity and the prevalence of high platelet reactivity (HRPR) on ticagrelor were significantly associated to higher NLR tertiles values (7% vs 12% vs 14.3%, p = .04), with a significant relationship between NLR and platelet reactivity being confirmed for all the different activating stimuli. At a mean follow-up of 939 ± 581.4 days, 21.2% of the patients experienced the primary composite endpoint, with a trend for a higher risk of events across NLR tertiles (15.4% vs 24.2% vs 24.4%, p = .09), that became statistically significant after correction for baseline confounders (adjusted HR[95%CI] = 1.13[1.008-1.26], p = .036). Moreover, NLR was significantly associated to overall mortality and recurrent ACS (adjusted p = .008, p = .06 and p = .02 respectively).
CONCLUSIONS: In the present study we found that among ACS patients treated with ASA and ticagrelor after PCI, suboptimal platelet inhibition despite DAPT was significantly increased for higher values of Neutrophil-to-Lymphocyte Ratio. Moreover, mortality and the risk of recurrent major ischemic events at long-term were associated to NLR.
Copyright © 2020. Published by Elsevier Inc.

Entities:  

Keywords:  Acute coronary syndrome; Lymphocyte; Neutrophil; Outcome; Percutaneous coronary intervention; Platelet aggregation inhibitors; White blood cells

Year:  2020        PMID: 32681888     DOI: 10.1016/j.vph.2020.106765

Source DB:  PubMed          Journal:  Vascul Pharmacol        ISSN: 1537-1891            Impact factor:   5.773


  3 in total

1.  Prognostic Impact of Multiple Lymphocyte-Based Inflammatory Indices in Acute Coronary Syndrome Patients.

Authors:  Qiuxuan Li; Xiaoteng Ma; Qiaoyu Shao; Zhiqiang Yang; Yufei Wang; Fei Gao; Yujie Zhou; Lixia Yang; Zhijian Wang
Journal:  Front Cardiovasc Med       Date:  2022-05-03

2.  High neutrophil to lymphocyte ratio with type 2 diabetes mellitus predicts poor prognosis in patients undergoing percutaneous coronary intervention: a large-scale cohort study.

Authors:  Jining He; Xiaohui Bian; Chenxi Song; Rui Zhang; Sheng Yuan; Dong Yin; Kefei Dou
Journal:  Cardiovasc Diabetol       Date:  2022-08-13       Impact factor: 8.949

3.  Machine learning algorithms identifying the risk of new-onset ACS in patients with type 2 diabetes mellitus: A retrospective cohort study.

Authors:  Zuoquan Zhong; Shiming Sun; Jingfan Weng; Hanlin Zhang; Hui Lin; Jing Sun; Miaohong Pan; Hangyuan Guo; Jufang Chi
Journal:  Front Public Health       Date:  2022-09-06
  3 in total

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