Association of Neutrophil-Lymphocyte Ratio with Mild Cognitive Impairment in Elderly Chinese Adults: A Case-control Study

Author:

An Peilin1,Zhou Xuan1,Du Yue2,Zhao Jiangang3,Song Aili3,Liu Huan1,Ma Fei4,Huang Guowei1

Affiliation:

1. Department of Nutrition & Food Science, School of Public Health, Tianjin Medical University, Tianjin, China

2. Department of Social Medicine and Health Management, School of Public Health, Tianjin Medical University, Tianjin, China

3. Community Health Service Center, Sanhuailu Street, Binhai New District, Tianjin, China

4. Department of Epidemiology & Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China

Abstract

Background: Inflammation plays a significant role in the pathophysiology of cognitive impairment in previous studies. Neutrophil-lymphocyte ratio (NLR) is a reliable measure of systemic inflammation. Objective: The aim of this study was to investigate the association between NLR and mild cognitive impairment (MCI), and further to explore the diagnostic potential of the inflammatory markers NLR for the diagnosis of MCI in elderly Chinese individuals. Methods: 186 MCI subjects and 153 subjects with normal cognitive function were evaluated consecutively in this study. Neutrophil (NEUT) count and Lymphocyte (LYM) count were measured in fasting blood samples. The NLR was calculated by dividing the absolute NEUT count by the absolute LYM count. Multivariable logistic regression was used to evaluate the potential association between NLR and MCI. NLR for predicting MCI was analyzed using Receiver Operating Characteristic (ROC) curve analysis. Results: The NLR of MCI group was significantly higher than that of subjects with normal cognitive function (2.39 ± 0.55 vs. 1.94 ± 0.51, P < 0.001). Logistic regression analysis showed that higher NLR was an independent risk factor for MCI (OR: 4.549, 95% CI: 2.623-7.889, P < 0.001). ROC analysis suggested that the optimum NLR cut-off point for MCI was 2.07 with 73.66% sensitivity, 69.28% specificity, 74.48% Positive Predictive Values (PPV) and 68.36% negative predictive values (NPV). Subjects with NLR ≥ 2.07 showed higher risk relative to NLR < 2.07 (OR: 5.933, 95% CI: 3.467-10.155, P < 0.001). Conclusion: The elevated NLR is significantly associated with increased risk of MCI. In particular, NLR level higher than the threshold of 2.07 was significantly associated with the probability of MCI.

Funder

Tianjin Medical University

Tianjin Science and Technology Support Program

National Natural Science Foundation of China

Publisher

Bentham Science Publishers Ltd.

Subject

Neurology (clinical),Neurology

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