Background/Objectives: Some calculated total blood count readings are investigated as novel additional readings to help with evaluation of personalized CAD patients’ clinical management and prognosis. We aimed to investigate the association between readings such as NLR, MLR, PLR, NMR, LMR, MHR, SII, and SIRI and the severity of CAD in patients with SAP. Methods: This retrospective pilot study included 166 patients. All patients underwent CA or CCTA, or both, to assess severity of CAD. Patients were divided three ways: (1) according to presence (n = 146) or absence (n = 20) of CAD; (2) according to Gensini score; (3) according to the CAD-RADS score. Results: Patients with CAD had lower LMR, higher NLR, SIRI, MLR, and SII compared to patients without CAD (p < 0.001 and p = 0.018, respectively for SII). According to the CAD severity by Gensini score, the NLR, MLR, SII, and SIRI values increase and LMR decreases gradually with severity of CAD (p < 0.001). A moderate correlation was found between SII (r = 0.511, p < 0.001), NLR (r = 0.567, p < 0.001), and SIRI (r = 0.474, p < 0.001) and severity of CAD according to Gensini score. MLR and LMR had a low corelation with severity of CAD according to Gensini score (r = 0.356, p < 0.001; r = −0.355, p < 0.001, respectively). The CAD-RADS score weakly correlated with NLR and MHR (r = 0.365, p < 0.001; r = 0.346, p < 0.001, respectively), and moderately with LMR, MLR, and SIRI (r = −0.454, p < 0.001; r = 0.455, p < 0.001; r = 0.522, p < 0.001, respectively). Conclusions: NLR, LMR, and SIRI appear to be potential predictors of chronic inflammation, and SIRI is the best predictor of the degree of atherosclerosis of all the other assessed blood parameters.

(1) The aim of the study was to reveal what differences in patients’ lipidogram, oxidative stress, and echocardiographic readings are reflected by SII, SIRI, and MHR of the patients with chronic heart failure (CHF). (2) A total of 220 patients diagnosed with CHF were investigated. They were stratified into groups according to averages of SII (neutrophil * platelet/lymphocyte count), SII ≤ 684.757 (n = 115), and SII > 684.757 (n = 62); SIRI (neutrophil * monocyte/lymphocyte count), SIRI ≤ 2.098 (n = 110), SIRI > 2.098 (n = 67); and monocyte count/high-density lipoprotein cholesterol concentration (MHR), MHR ≤ 0.5854 (n = 54), and MHR > 0.5854 (n = 64) values. The analysis of transthoracic echocardiogram, complete blood count test, C reactive protein, lipidogram, oxHDL, nitrotirozine, ditirozine, TAC, protein carbonyl, catalase, and MDA were performed; (3) Between the groups, according to SII and SIRI, there were no statistically significant differences in lipidogram, oxidative stress, and echocardiography readings. In those with higher MHR, HDL concentration was lower (0.91 (0.44; 1.45) and 1.27 (0.72; 2.69), p < 0.001). In those with higher MHR, LVEDD was higher (58.12 (10.03) and 51.53 (10.34), p < 0.001), LVMM was higher (274.92 (92.24) and 233.07 (74.84), p = 0.010), MMI was higher (130.88 (34.28; 227.97) and 114.27 (70.34; 270.00), p = 0.022), and LVEF was lower (28.5 (10.0; 55.0) and 40.0 (20.0; 55.0), p < 0.001). MHR correlated with MMI (r = 0.287, p = 0.028) and LVMI (r = 0.287, p = 0.028). Nitrotyrosine concentration was higher in those with higher MHR (4.52 (1.12; 93.58) and 3.52 (1.74; 28.32), p = 0.022). MHR correlated with protein carbonyl (r = 0.321, p = 0.013), nitrotyrosine concentration (r = 0.356, p = 0.006). SIRI correlated with carbonyl protein concentration (r = 0.321, p = 0.013); (4) 1. In CHF patients, MHR could reflect the worsening of patients’ conditions related to oxidative stress. 2. The possibility to use SII and SIRI still needs to be confirmed.

This pilot hypothesis-generating study evaluated whether lipid-related biomarkers (Lp(a), ApoB, and oxLDL), endothelial injury markers (endocan, vimentin), and extracellular matrix glycoproteins (TSP-1, TSP-2) reflect the severity of coronary artery disease (CAD) in patients with stable angina pectoris. 93 patients underwent invasive coronary angiography/coronary CT angiography. CAD severity was evaluated using Gensini, SIS, SSS, and CAD-RADS scores. CAD was confirmed in 76.3% (n = 71). OxLDL correlated with Gensini (r = 0.455; p = 0.006), atherosclerotic segments (r = 0.469; p = 0.005), arteries (r = 0.479; p = 0.004), revascularization indication (r = 0.318; p = 0.003), circumflex artery stenosis (r = 0.323; p = 0.005). OxLDL also correlated with vimentin (r = 0.459; p < 0.001). Vimentin correlated with Gensini (r = 0.480; p = 0.005), SIS (r = 0.349; p = 0.003), SSS (r = 0.320; p = 0.008), CAD-RADS (r = 0.331; p = 0.005), atherosclerotic segments (r = 0.515; p = 0.003), arteries (r = 0.384; p = 0.030), revascularization indication (r = 0.324; p = 0.003). Endocan, TSP-1, and TSP-2 showed no significant associations. These exploratory findings suggest that oxLDL and vimentin may be associated with CAD severity; however, confirmation in larger, prospective cohorts is required.

Background: Some calculated total blood count readings are investigated as additional readings to help with evaluation of CAD patients’ clinical management and prognosis. Aim: We aimed to investigate the association between readings such as NLR, MLR, PLR, NMR, LMR, MHR, SII, SIRI and the severity of CAD in patients with SAP. Methods: This retrospective pilot study included 166 patients. All these patients underwent CA or CCTA, or both, to assess severity of CAD. Patients were divided into three ways: 1) according to presence (n=146) or absence (n=20) of CAD; 2) according to Gensini score; 3) according to the CAD-RADS score. Results: Patients with CAD had lower LMR, higher NLR, SIRI, MLR and SII compared to patients without CAD (p<0.001 and p=0.018, respectively for SII). According to the CAD severity by Gensini score, the NLR, MLR, SII and SIRI values increases and LMR decreases gradually with severity of CAD (p<0.001). It was found moderate correlation between SII (r=0.511, p <0.001) , NLR (r=0.567, p <0.001) and SIRI (r=0.474, p <0.001) and severity of CAD according to Gensini score. MLR and LMR low correlated with severity of CAD according to Gensini score (r=0.356, p <0.001 ; r=-0.355, p <0.001, respectively ) . The CAD-RADS score weakly correlated with NLR and MHR (r=0.365, p<0.001; r=0.346, p<0.001 , respectively), and moderately – with LMR, MLR and SIRI ( r=-0.454, p<0.001; r=0.455, p<0.001; r=0.522, p<0.001, respectively ) . Conclusions: NLR, LMR and SIRI appear to be potential predictors of chronic inflammation, and SIRI is the best predictor of the degree of atherosclerosis of all the other assessed blood parameters.