Increased neutrophil-to-lymphocyte ratio predicts the development of post-stroke infections in patients with acute ischemic stroke

Lanying He, Jian Wang, Feng Wang, Lili Zhang, Lijuan Zhang, Wang Zhao, Lanying He, Jian Wang, Feng Wang, Lili Zhang, Lijuan Zhang, Wang Zhao

Abstract

Background: Infections could increase the risk of poor outcome in patients with acute ischemic stroke (AIS). The peripheral neutrophil-to-lymphocyte ratio (NLR) is an important indicator of inflammation. The purpose of our study was to investigate the association increased NLR with post stroke infections (PSI) in AIS.

Methods: In this study, we included 606 consecutive patients with AIS within 24 h. The NLR was calculated by dividing absolute neutrophil counts by absolute lymphocyte counts. Receiver operating characteristic (ROC) curve was performed to identify the optimal cut point of NLR for PSI. The relationship between NLR and PSI was analyzed by multivariable analysis.

Results: We assessed 606 consecutive patients with AIS. ROC curve analysis showed that the optimal cut point of NLR for PSI was NLR ≥ 5.79. Compared with no PSI, patients with PSI have higher NLR, older age, higher NIHSS, higher PCT, higher percentage of nasogastric tube feeding and indwelling urinary catheter (P < 0.05). Multivariable analysis showed that NLR ≥ 5.79 [adjusted odds ratio (aOR),4.52; 95% confidence interval (CI),3.02-6.76; P < 0.001], older age (aOR,1.03; 95% CI, 1.00-1.05; P = 0.009), higher admission NIHSS (aOR,1.13; 95%CI, 1.07-1.18; P < 0.001), indwelling urinary catheter (aOR1.83; 95%CI, 1.08-3.10; P = 0.026], and nasogastric tube feeding (aOR2.52; 95%CI, 1.38-4.59; P = 0.003) were associated with increased risk of PSI.

Conclusions: Higher NLR can predict PSI in AIS patients. The NLR may help to select high-risk patients to start intervention in time.

Keywords: Acute ischemic stroke; Neutrophil-to-lymphocyte ratio; Post stroke infections.

Conflict of interest statement

The authors declare that they have no competing interests.

Figures

Fig. 1
Fig. 1
Receiver operating characteristic curve analysis for NLR for prognostic value for PSI

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