The present study aimed to clarify the effects of four inflammatory indicators (monocyte-to-high-density lipoprotein ratio [MHR], neutrophil-to-lymphocyte ratio [NLR], systematic immune-inflammation index [SII], and systemic inflammation response index [SIRI]) in evaluating the risk of metabolic diseases and cardiovascular disease (CVD), filling the gap of inflammation-metabolism system research in epidemiology.
We conducted a cross-sectional study and multivariable logistic regression analysis to elucidate the association between inflammatory indicators and metabolic diseases and CVD risk. Metabolic diseases were defined as metabolic disorders (MetDs) or their components, such as metabolic syndrome (MetS), dyslipidemia, and central obesity. We calculated the Framingham risk score (FRS) to evaluate 10-year CVD risk.
Odds ratios for the third vs. the first tertile of MHR were 2.653 (95% confidence interval [CI], 2.142–3.286) for MetD, 2.091 (95% CI, 1.620–2.698) for MetS, 1.547 (95% CI, 1.287–1.859) for dyslipidemia, and 1.515 (95% CI, 1.389–1.652) for central obesity. Odds ratios for the third vs. the first tertile of SIRI were 2.092 (95% CI, 1.622–2.699) for MetD, 3.441 (95% CI, 2.917–4.058) for MetS, 1.417 (95% CI, 1.218–1.649) for dyslipidemia, and 2.080 (95% CI, 1.613–2.683) for central obesity. The odds ratio of a 10-year CVD risk of >30% for the third vs. the first tertile of MHR was 4.607 (95% CI, 2.648–8.017) and 3.397 (95% CI, 1.958–5.849) for SIRI.
MHR and SIRI had a significant association with MetD and its components, in which a higher level of MHR or SIRI tended to accompany a higher risk of metabolic diseases. Furthermore, they also correlated with CVD, and the increment of these indicators caused a gradually evaluated risk of 10-year CVD risk.