Dear Editor,We read the recent article entitled "Plasma Leukocyte Cell-Derived Chemotaxin 2 (LECT2) as a Risk Factor of Coronary Artery Disease: A Cross-Sectional Study" by Wei et al. 1 with great interest. They demonstrated that the serum level of LECT2 was higher in patients with coronary artery disease (CAD) than in patients with non-CAD and was an independent predictor for CAD. The level of LECT-2 was also related to the synergy between percutaneous coronary intervention with taxus and cardiac surgery (SYNTAX) score and SYN-TAX II score. 1 Furthermore, patients with acute myocardial infarction (AMI) with elevated levels of LECT-2 had a higher risk of major adverse cardiovascular events (MACEs) within 12 months than those with lower levels of LECT-2. 1 They concluded that plasma LECT-2 levels may be useful for the diagnosis of CAD and as predictors of MACE in patients with AMI. 1 We reported that an increased monocyte count and decreased high-density lipoprotein cholesterol (HDL-C) level as well as a high monocyte-to-HDL-C ratio (MHR), robust and reliable indicators of inflammatory status, were closely associated with severe CAD assessed by SYNTAX score, instent restenosis, and saphenous vein graft disease. [2][3][4] In their study, 1 the monocyte count was significantly higher, whereas the HDL-C level was significantly lower in the CAD group than the non-CAD group (P = .01 and P < .001, respectively), as shown in Table 1. Thus, it seems that the MHR is significantly higher in the CAD group. However, Wei et al. 1 did not calculate the MHR for their study population.Our recent studies also pointed out that serum total bilirubin, resting heart rate, and the CHA2DS2-VASc (congestive heart failure, hypertension, age ≥75 years (doubled), diabetes mellitus, previous stroke or transient ischemic attack (doubled), vascular disease, age 65 to 74 years, and female gender) score were independent risk factors and novel prognostic markers for cardiovascular events, in-hospital mortality, as well as the extent, severity, and complexity of CAD. [5][6][7][8][9] The authors 1 did not report these parameters in their study, and they did not analyze these possible confounding factors in the univariate and multivariate logistic regression model.In conclusion, we suggest that their study findings should be evaluated for both the presence and severity of CAD after considering the variables mentioned above.