How Well Can Matrix of Ferritin and Neutrophil to Lymphocyte Ratio Predict Metabolic Syndromein Korean Adults?
10.21215/kjfp.2020.10.4.256
- Author:
Jin Gu KIM
1
;
Mi Ji LEE
;
Young Hye KIM
;
Kyunam KIM
;
Seon Yeong LEE
;
Jong Woo KIM
;
Jeong Ki PAEK
Author Information
1. Department of Family Medicine, Sanggye Paik Hospital, Inje University College of Medicine, Seoul, Korea
- Publication Type:Original Article
- From:
Korean Journal of Family Practice
2020;10(4):256-261
- CountryRepublic of Korea
- Language:Korean
-
Abstract:
Background:Previous studies have shown that elevated ferritin level and neutrophil to lymphocyte ratio (NLR) are risk factors of chronic low-gradeinflammation and contribute to the onset and progression of cardiovascular disease. In addition, metabolic syndrome has a similar relevance; thus,in this study, we aimed to determine how well metabolic syndrome could be predicted by measuring ferritin level and NLR.
Methods:From January 2016 to September 2018, 1,815 adults who underwent medical interviews, physical measurements, and blood tests at amedical examination center of a university hospital in Seoul were evaluated. Data were analyzed using the Spearman correlation analysis, anaverage comparison using analysis of variance, and a t test. The prevalence of metabolic syndrome was determined according to ferritin level andNLR.
Results:We found a significant correlation between the components of metabolic syndrome and ferritin level, but not NLR. The NLRs were divided intoquartiles for comparison with the mean values of the components of metabolic syndrome, but the results were not significant. A significantdifference was found only in ferritin level when we compared the mean values of ferritin level and NLR according to the presence or absence of ametabolic syndrome diagnosis. When ferritin level and NLR were considered simultaneously, the prevalence of metabolic syndrome tended tochange only when the ferritin level changed.
Conclusion:In healthy Korean adults, ferritin level, but not NLR, could be used as a predictor of metabolic syndrome.
