已发表论文

白细胞、中性粒细胞和血红蛋白与代谢综合征及其成分的相关性

 

Authors Li N, Liu C, Luo Q, Zhang F, Sheng D, Liu Z

Received 10 February 2023

Accepted for publication 29 April 2023

Published 10 May 2023 Volume 2023:16 Pages 1347—1355

DOI https://doi.org/10.2147/DMSO.S408081

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 2

Editor who approved publication: Prof. Dr. Juei-Tang Cheng

Background: Metabolic syndrome (MetS) is a global health problem. White blood cell (WBC), neutrophils and neutrophil-to-lymphocyte ratio (NLR) are valid indicators involved in acute and chronic inflammation. The aims of our study were to analyze the correlation and severity of these indicators with MetS and its components, and explore the diagnostic value of their combined tests for MetS.
Methods: A total of 7726 subjects were recruited, and laboratory biomarkers were collected. The differences of indicators between MetS group and non-MetS group were analyzed. The linear trend between each indicator and the increasing number of metabolic disorders was analyzed using trend variance test. The correlation between each indicator and MetS with its components was analyzed by logistic regression.
Results: The levels of WBC, neutrophil, and hemoglobin grew significantly in the MetS group compared to non-MetS group, and gradually increased with the increased number of MetS disorders. Logistic regression analysis indicated significant correlations between WBC, neutrophils, and hemoglobin with MetS and its components. ROC curve analysis showed WBC, neutrophils, and hemoglobin served as good predictors for MetS, especially in adults aged under 40.
Conclusion: Our study indicated that WBC, neutrophils, and hemoglobin are efficient indicators for predicting MetS and evaluate its severity.
Keywords: white blood cell, neutrophils, hemoglobin, neutrophil-to-lymphocyte ratio, metabolic syndrome