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Comparison of inflammation-related hematologic indices for predicting metabolic syndrome in adults

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International Journal of Diabetes in Developing Countries Aims and scope Submit manuscript

Abstract

Aim

It was planned to evaluate different hematologic indices (neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), lymphocyte/monocyte ratio (LMR), lymphocyte/high-density lipoprotein to cholesterol ratio (LHR), neutrophil/high-density lipoprotein to cholesterol ratio (NHR), and monocyte/high-density lipoprotein to cholesterol ratio (MHR)) associated with inflammation in predicting metabolic syndrome in adults and to predict which marker is the better predictor.

Materials and methods

This study comprised 399 adults between the ages of 18 and 65. Bodyweight, height, waist circumference, and blood pressure were measured; fasting blood glucose, total cholesterol, triglycerides, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, C-reactive protein, and hemogram values were analyzed. The International Diabetes Federation criteria were used to define metabolic syndrome.

Results

The study included 133 (33.3%) males and 266 (66.4%) females with an average age of 54.3 ± 11.8 years. The prevalence of metabolic syndrome is 58.6% (male 44.3%; female 65.7%). For both men (AUC = 0.730, cutoff = 4.5) and women (AUC = 0.669, cutoff = 4.2), the NHR index has the highest AUC. LHR has the second-highest metabolic syndrome determination in men (AUC = 0.647, cutoff = 6.9). Women’s LHR (AUC = 0.626, cutoff = 6.4) and LMR (AUC = 0.757, cutoff = 4.9) had the second and third highest AUCs, respectively, while NLR and PLR were not significant in either gender (p > 0.05).

Conclusion

The NHR index is a strong predictor of metabolic syndrome. In men, the NHR index is a better predictor of metabolic syndrome than the LHR index, and in women, the NHR index is better than the LHR and LMR.

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References

  1. Rochlani Y, Pothineni NV, Kovelamudi S, Mehta JL. Metabolic syndrome: pathophysiology, management, and modulation by natural compounds. Ther Adv Cardiovasc Dis. 2017;11:215–25. https://doi.org/10.1177/1753944717711379.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  2. Gluvic Z, Zaric B, Resanovic I, Obradovic M, Mitrovic A, Radak D, Isenovic E. Link between metabolic syndrome and insulin resistance. Curr Vasc Pharmacol. 2017;15:30–9. https://doi.org/10.2174/1570161114666161007164510.

    Article  CAS  PubMed  Google Scholar 

  3. Saklayen MG. The global epidemic of the metabolic syndrome. Curr Hypertens Rep. 2018;20:12. https://doi.org/10.1007/s11906-018-0812-z.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Yu S, Guo X, Li G, Yang H, Zheng L, Sun Y. Lymphocyte to high-density lipoprotein ratio but not platelet to lymphocyte ratio effectively predicts metabolic syndrome among subjects from rural China. Front Cardiovasc Med. 2021;8:583320. https://doi.org/10.3389/fcvm.2021.583320.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Chen H, Xiong C, Shao X, Ning J, Gao P, Xiao H, Chen Y, Zou Z, Hong G, Li X, Shao M, Sheng J, Yang X, You X, Zou H. Lymphocyte to high-density lipoprotein ratio as a new indicator of inflammation and metabolic syndrome. Diabetes Metabol Syndr Obes. 2019;12:2117–23. https://doi.org/10.2147/DMSO.S219363.

    Article  CAS  Google Scholar 

  6. McCracken E, Monaghan M, Sreenivasan S. Pathophysiology of the metabolic syndrome. Clin Dermatol. 2018;36:14–20. https://doi.org/10.1016/j.clindermatol.2017.09.004.

    Article  PubMed  Google Scholar 

  7. Akboga MK, Canpolat U, Balci KG, Akyel A, Sen F, Yayla C, Cay S, Aras D, Aydogdu S. Increased platelet to lymphocyte ratio is related to slow coronary flow. Angiology. 2016;67:21–6. https://doi.org/10.1177/0003319715574625.

    Article  CAS  PubMed  Google Scholar 

  8. Chen T, Chen H, Xiao H, Tang H, Xiang Z, Wang X, Wang X, Zou H. Comparison of the value of neutrophil to high-density lipoprotein cholesterol ratio and lymphocyte to high-density lipoprotein cholesterol ratio for predicting metabolic syndrome among a population in the southern coast of China. Diabetes Metabol Syndr Obes. 2020;13:597–605. https://doi.org/10.2147/DMSO.S238990.

    Article  CAS  Google Scholar 

  9. Battaglia S, Scialpi N, Berardi E, Antonica G, Suppressa P, Diella FA, et al. Gender, BMI and fasting hyperglycaemia influence monocyte to-HDL ratio (MHR) index in metabolic subjects. PLoS ONE. 2020;15(4):e0231927. https://doi.org/10.1371/journal.pone.0231927.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Liu CC, Ko HJ, Liu WS, Hung CL, Hu KC, Yu LY, et al. Neutrophil-to-lymphocyte ratio as a predictive marker of metabolic syndrome. Medicine. 2019;98(43):e17537.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Uslu AU, Sekin Y, Tarhan G, Canakcı N, Gunduz M, Karagulle M. Evaluation of monocyte to high-density lipoprotein cholesterol ratio in the presence and severity of metabolic syndrome. Clin Appl Thromb Hemost. 2018;24(5):828–33.

    Article  CAS  PubMed  Google Scholar 

  12. Barale C, Russo I. Influence of cardiometabolic risk factors on platelet function. Int J Mol Sci. 2020;21:623. https://doi.org/10.3390/ijms21020623.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Nardin M, Verdoia M, Barbieri L, Luca GD. Impact of metabolic syndrome on mean platelet volume and its relationship with coronary artery disease. Platelets. 2019;30:615–23.

    Article  CAS  PubMed  Google Scholar 

  14. Ding Q, Wang F, Guo X, Liang M. The relationship between mean platelet volume and metabolic syndrome in patients with type 2 diabetes mellitus: a retrospective study. Medicine. 2021;100(13):e25303. https://doi.org/10.1097/MD.0000000000025303.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Sun M, Zhang L, Chen S, Liu X, Shao X, Zou H. Association of C-reactive protein and metabolic disorder in a Chinese population. Int J Environ Res Public Health. 2015;12:8228–42. https://doi.org/10.3390/ijerph120708228.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Syauqy A, Hsu CY, Rau HH, Chao JCJ. Association of dietary patterns, anthropometric measurements, and metabolic parameters with C-reactive protein and neutrophil-to-lymphocyte ratio in middle-aged and older adults with metabolic syndrome in Taiwan: a cross-sectional study. Nutr J. 2018;17(1):1–12.

    Article  Google Scholar 

  17. Surendar J, Indulekha K, Mohan V, Pradeepa R. Association of neutrophillymphocyte ratio with metabolic syndrome and its components in Asian Indians (CURES-143). J Diabetes Complicat. 2016;30:1525–9. https://doi.org/10.1016/j.jdiacomp.2016.08.006.

    Article  Google Scholar 

  18. Buyukkaya E, Karakas MF, Karakas E, Akçay AB, Tanboga İH, Kurt M, et al. Correlation of neutrophil to lymphocyte ratio with the presence and severity of metabolic syndrome. Clin Appl Tromb Hemost. 2014;20:159–63. https://doi.org/10.1177/1076029612459675.

    Article  Google Scholar 

  19. Adams-Huet B, Jialal I. The neutrophil count is superior to the neutrophil/lymphocyte ratio as a biomarker of inflammation in nascent metabolic syndrome. Ann Clin Biochem. 2019;56:715–6. https://doi.org/10.1177/0004563219866221.

    Article  CAS  PubMed  Google Scholar 

  20. Lin HY, Zhang XJ, Liu YM, Geng LY, Guan LY, Li XH. Comparison of the triglyceride glucose index and blood leukocyte indices as predictors of metabolic syndrome in healthy Chinese population. Sci Rep. 2021;11(1):1–7.

    Google Scholar 

  21. Vahit D, Akboga MK, Samet Y, Hüseyin E. Assessment of monocyte to high density lipoprotein cholesterol ratio and lymphocyte-to-monocyte ratio in patients with metabolic syndrome. Biomark Med. 2017;11(7):535–40.

    Article  CAS  PubMed  Google Scholar 

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Authors and Affiliations

  1. Department of Nutrition and Dietetics, Faculty of Health Sciences, Erzincan Binali Yıldırım University, 24030, Erzincan, Turkey

    Sevil Karahan Yilmaz

  2. Department of Internal Medicine, Faculty of Medicine, Erzincan Binali Yıldırım University, 24100, Erzincan, Turkey

    Fatih Özçiçek

Authors
  1. Sevil Karahan Yilmaz
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  2. Fatih Özçiçek
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Correspondence to Sevil Karahan Yilmaz.

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Conflict of interest

The authors declare no competing interests.

Ethics approval

The study was approved by the Erzincan Binali Yildirim University Clinical Research Ethics Committee.

Consent to participate

Written informed consent was obtained from all participants before study commencement.

Ethics Committee Approval

dated 24/05/2021 and numbered 07/01 was obtained from Erzincan Binali Yıldırım University Clinical Research Ethics Committee for the study.

Informed Consent

Patients who volunteered to participate in the study were enrolled after reading and signing the informed consent form.

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Yilmaz, S.K., Özçiçek, F. Comparison of inflammation-related hematologic indices for predicting metabolic syndrome in adults. Int J Diabetes Dev Ctries 43, 184–190 (2023). https://doi.org/10.1007/s13410-022-01093-0

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  • DOI: https://doi.org/10.1007/s13410-022-01093-0

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