Investigating the relationship between haematological parameters and metabolic syndrome: A population‐based study

Abstract

Background: Metabolic syndrome (MetS) is a global public health concern. Chronic inflammation plays a role in MetS; haematological inflammatory parameters can be used as MetS predicting factors. Objective: Hereditary and environmental factors play an important role in the development of MetS. This study aimed to determine the relationship between haematological parameters and MetS in the adult population of southeastern Iran, Kerman. Methods: This cross-sectional study was a sub-analysis of 1033 subjects who participated in the second phase of the Kerman Coronary Artery Disease Risk Factor Study (KERCADRS). Metabolic syndrome was diagnosed according to Adult Treatment Panel III (ATP III) definition. Pearson correlation coefficient was used to investigate the relationship between haematological parameters with age and components of metabolic syndrome. The role of WBC, neutrophil, lymphocyte and monocyte in predicting metabolic syndrome was evaluated using the receiver operating characteristic (ROC) curve.Results: White blood cell (WBC) and its subcomponent cells count, red cell distribution width (RDW), monocyte to HDL ratio (MHR) and Neutrophil to HDL ratio (NHR) had a significant positive correlation with the severity of MetS. The cut-off value of WBC was 6.1 (×10 3 /μL), the sensitivity was 70%, the specificity was 52.9% for females, the cut-off value of WBC was 6.3 (×10 3 /μL), the sensitivity was 68.2% and the specificity was 46.7%, for males. Conclusion:WBC and its subcomponent count, RDW, MHR and NHR parameters are valuable biomarkers for further risk appraisal of MetS in adults. These markers are helpful in early diagnoses of individuals with MetS.

Association of Red Blood Cell and Platelet Parameters with Metabolic Syndrome: A Systematic Review and Meta-Analysis of 170,000 Patients

“…Regarding research design, all studies were observational and two were RCTs. Twenty-nine studies 7 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 defined MetS according to the third report of the National Cholesterol Education Program (NCEP-Adult Treatment Panel (ATP III) 40 . Twelve studies 4 41 42 43 44 45 46 47 48 49 50 51 assessed MetS using the International Diabetes Federation (IDF) criteria 52 .…”

“…width (RDW) have been linked significantly to MetS, according to certain studies 7 . Additionally, insulin resistance and a pro-inflammatory, pro-thrombotic state in MetS lead to metabolic imbalances, including elevated platelet count 4 .…”

“…With rapidly increasing rates of obesity with nearly 1 billion worldwide, this makes Metabolic Syndrome a growing global pandemic, intensifying cardiovascular disease burden and mortality [5,6]. Hematological indicators like hemoglobin, red blood cell (RBC) count, and other RBC indices such as red cell distribution width (RDW) have been linked significantly to MetS, according to certain studies [7]. Additionally, insulin resistance and a pro-inflammatory, pro-thrombotic state in MetS lead to metabolic imbalances, including elevated platelet count [4].…”

The Association Between Neutrophil/High-Density Lipoprotein Cholesterol Ratio and Non-Alcoholic Fatty Liver Disease in a Healthy Population

“… 12 In addition, in a cross-sectional study of 1033 adults from southeastern Iran, NHR was found to be a valuable biomarker for assessing the risk of metabolic syndrome. 13 Taken together, NHR, a novel indicator of inflammatory cells and cholesterol, may comprehensively reflect the inflammatory state and dyslipidemia in diseases such as coronary heart disease, stroke, and metabolic syndrome. The relationship between NHR and NAFLD has not been extensively studied.…”

Correlation of White Blood Cell, Neutrophils, and Hemoglobin with Metabolic Syndrome and Its Components

“…13,30 Similarly, a cross-sectional study based on the population of Kerman in southeast Iran also confirmed a positive correlation between WBC and its subcomponent cells counts such as neutrophil, lymphocyte and monocyte and the severity of MetS, especially in females, but NLR was not recognized as a predictor for MetS. 31 Hence, the relationship and mechanism between NLR and MetS needed to be further studied.…”