Dynamic change of neutrophil‐to‐lymphocyte ratio and its predictive value of prognosis in acute ischemic stroke

Author:

Qian Kai12,Hu Jie3,Wang Chunyan2,Xu Chunxiang2,Chen Yanguo2,Feng Qing2,Feng Ya4ORCID,Wu Yuncheng4,Yu Xiaofeng2,Ji Qiuhong1

Affiliation:

1. Department of Neurology Affiliated Hospital of Nantong University, Medical School of Nantong University Nantong China

2. Department of Neurology Dongtai People's Hospital Dongtai China

3. Department of Emergency Dongtai People's Hospital Dongtai China

4. Department of Neurology Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine Shanghai China

Abstract

AbstractObjectiveThe present research aimed to explore the dynamic change of the neutrophil‐to‐lymphocyte ratio (NLR) and its relationship with functional outcome following an acute ischemic stroke (AIS), whether receiving intravenous thrombolysis (IVT) or not.MethodsWe retrospectively analyzed data that were prospectively acquired from patients with AIS treated with IVT or not. For patients receiving IVT, the NLR was based on a blood test performed prior to IVT (d0) and at different time points after disease onset (d1, d3, d7). In addition, in the non‐IVT group, the NLR was obtained at different time points after disease onset (d1, d3, d7). Follow‐ups were performed 3 months after onset via telephone. In addition, a good outcome was defined as a modified Rankin scale (mRS) ≤1; a poor outcome means 2 ≤ mRS ≤ 6.ResultsA total of 204 AIS patients were included in this study. The NLR presented a dynamic change as it increased to its peak at day 1 and gradually declined to its baseline at day 7, no matter whether patients were receiving IVT or not. Patients with poor outcomes have a higher NLR at various time points. The results of multivariate logistic regression analysis demonstrated that the National Institutes of Health Stroke Scale (NIHSS), NLR d1, NLR d3, and NLR d7 were independently associated with functional outcomes. The area under the receiver operating characteristic curve of NLR in predicting outcomes was as follows: NLR d3 demonstrated robust predictive power within the IVT therapy cohort, whereas NLR d7 was predictive in the non‐IVT cohort. However, the most potent predictor emerged as the combination of NIHSS and NLR.ConclusionNLR has the potential to predicate diagnosis for AIS, especially when combined with the NIHSS score.

Publisher

Wiley

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