We read with interest the study by Pan et al. 1 They report the sex-specific role of the neutrophil-to-lymphocyte ratio (NLR) in the presence and severity of coronary artery disease (CAD). These findings have implications, suggesting that sex-specific cut-offs for NLR could be warranted in clinical practice to stratify patients at increased risk. In low-resource settings, parameters that can be calculated from existing, routinely available hemogram variables are of great significance. The NLR is an effective, easily accessible, and inexpensive test, and this study further refines its utility in guiding clinical decisions. The NLR is also among several highly versatile laboratory parameters that have application in the diagnosis and prognostication of several pathological states. [2][3][4][5][6] We have previously demonstrated the utility of NLR in various disease conditions including CAD. [6][7][8][9][10][11] In our analysis of NLR as a predictor of CAD severity rather than the diagnosis of CAD, we found that it was a significant predictor among both sexes.The authors 1 also show that low-density lipoprotein (LDL) and total cholesterol were not significant predictors of the presence of CAD in their population, which is an uncommon finding when compared with reports from Western populations. Likewise, as more data on NLR from different ethnicities are collated, more light will be shed on the ethnicity and sex-specific complex mechanisms behind CAD.The authors describe NLR as an effective risk marker for CAD among males, when compared with non-CAD patients, and report no significant results for female patients. It is worth noting that on receiver operator characteristic (ROC) curve analysis, the area under the curve (AUC) value for NLR among males was .607, which although statistically significant, is quite low. In addition to the AUC, optimal cut-off values along with sensitivity and specificity could have been a valuable addition to the study, to allow more direct clinical application. While NLR may not be an excellent diagnostic marker for CAD vs non-CAD in this case, its role might lie in predicting the severity of CAD. The authors 1 have comprehensively assessed CAD severity using both the Gensini and SYNTAX scores. Although they have demonstrated significant correlation coefficients between NLR and CAD severity scores among males and females, multivariate regression analysis was not carried out to assess the role of NLR on CAD severity.