Aim: The study aimed to investigate and compare the predictive capacity of a systemic immune-inflammation index (SII), neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) to determine a hemodynamically significant coronary artery stenosis assessed by fractional flow reserve (FFR). Patients & methods: A total of 207 chronic coronary syndrome patients with FFR measurement were enrolled in the study. NLR, PLR and SII levels were calculated. Results: The cut-off value of the SII (620) was associated with 78.4% sensitivity and 64.0% specificity to predict a hemodynamically significant stenosis. SII level independently predicted FFR ≤0.80. Conclusion: SII is an independent predictor of functionally significant coronary stenosis detected by FFR in chronic coronary syndrome patients. SII levels can predict hemodynamically severe obstruction better than NLR and PLR.

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Aim: Chest computed tomography (CT) imaging plays a diagnostic and prognostic role in Coronavirus disease 2019 patients. This study aimed to investigate and compare predictive capacity of main pulmonary artery diameter (MPA), ascending aorta diameter (AAo), and MPA-to-AAo ratio to determine in-hospital mortality in COVID-19 patients. Materials and methods:This retrospective study included 255 hospitalized severe or critical COVID-19 patients. MPA was measured at the level of pulmonary artery bifurcation perpendicular to the direction of the vessel through transverse axial images and AAo was measured by using the same CT slice at its maximal diameter. MPA-to-AAo ratio was calculated by division of MPA to AAo.

Aim Calcific aortic stenosis (AS) is a common valvular disease especially in elderly population. Inflammation plays significant role in the pathophysiological mechanism. Systemic immune‐inflammation index (SII) is a novel marker of immune system and inflammation that includes neutrophil, lymphocyte, and platelet cell counts. The aim of this study was to investigate the predictive value of SII in calcific severe AS. Materials and Methods Severe calcific AS patients were categorized into two groups: High flow‐high gradient (HFHG) AS (n = 289) and low flow‐low gradient AS (n = 79). Control group included 273 patients with similar clinical and demographic characteristics but without AS. SII was calculated as absolute platelet count × absolute neutrophil count/absolute lymphocyte count. Results SII levels were 525 ± 188, 835 ± 402, and 784 ± 348 in control, HFHG AS, and LFLG AS groups, respectively (P < .001). Correlation analyses revealed significant and positive correlation between SII and mean aortic transvalvular pressure gradient (r = .342, P < .001), and negative and significant correlation between SII and AVA (r = −.461, P < .001). Multivariate analysis performed in separate models demonstrated sex, CAD, LDL, and SII levels (Odds ratio [OR]: 1.004, 95 CI%:1.003–1.004) as independent predictors of severe AS in Model 1. According to Model 2, sex, CAD, LDL, and high SII (>661) (OR:5.78, 95 CI%:3.93–4.89) remained as independent predictors of severe AS. Conclusion SII levels can be useful to predict severe calcific AS patients and significantly correlate with AVA and mean aortic transvalvular pressure gradient.