The aim of this study was to investigate the performance of controlling nutritional status (CONUT) index, geriatric nutritional risk index (GNRI), and prognostic nutritional index (PNI) scores in predicting the long-term prognosis of patients with non-ST-elevated myocardial infarction (NSTEMI) who underwent percutaneous coronary intervention (PCI). A total of 915 patients with NSTEMI (female: 48.4%; mean age: 73.1±9.0 years) who underwent PCI at Adana Numune Training and Research Hospital, Cardiology Clinic between January 2014 and January 2015 were included in this cross-sectional and retrospective study. CONUT, GNRI, and PNI scores were calculated based on the admission data derived from samples of peripheral venous blood. The mean follow-up duration was 64.5±15.4 months. During follow-up (mean 64.5±15.4 months), 179 patients (19.6%) died. The mean GNRI and PNI scores were significantly lower in the nonsurvivor group; however, the median CONUT score was significantly higher in the nonsurvivor group compared with the survivor group. The receiver operating characteristic (ROC) curve analyses have shown that GNRI score has similar performance to the CONUT score and has better performance than PNI score in predicting 5-year mortality. The Kaplan-Meier curve analysis has shown that patients with lower PNI or GNRI had higher cumulative mortality than the patients with higher PNI or GNRI. Also, the patients with higher CONUT scores had higher cumulative mortality compared with those with lower scores. The multivariate analyses have shown that GNRI (HR: 0.973), PNI (HR: 0.967), CONUT score (HR: 1.527), and body mass index (BMI) (HR: 0.818) were independent predictors of the 5-year mortality in patients with NSTEMI. In this study, we have shown that CONUT score, GNRI, and PNI values were associated with the long-term mortality in patients with NSTEMI who underwent PCI, and GNRI yielded similar results to CONUT score but was better than PNI.

As inflammation plays a significant role in the development of coronary artery disease, we hypothesized that there may be a relation between the systemic immune inflammation index (SII) and saphenous vein graft disease (SVGD). The study population consisted of 716 consecutive patients who underwent elective coronary angiography (CAG) >1 year after bypass grafting. The patients were divided into 2 groups depending on the extent of SVG patency. SII value was significantly higher in the SVGD(+) group compared with the SVGD(−) group ( P < .001). In multivariate logistic regression analysis, SII ( P < .001, odds ratio (OR) = 3.27, 95% CI = 1.94–5.65) and neutrophil-to-lymphocyte ratio (NLR) ( P < .001, OR = 2.08, 95% CI = 1.59–3.11) were found to be independent predictors of SVGD. An SII value of >935 (x10 ³ /ml) has 89.2% sensitivity and 70.6% specificity for the prediction of the SVGD, and an NLR value of >4.15 has 54.6% sensitivity and 68.5% specificity for the prediction of the SVGD. The AUC of SII was found to be greater than the AUC of NLR ( P = .002), platelet-to-lymphocyte ratio (PLR) ( P = .009), lymphocyte-to-monocyte ratio (LMR) ( P = .013), MPV ( P = .011), and C-reactive protein (CRP) ( P = .034) in predicting SVGD. In conclusion, we demonstrated that SII, which is among the new inflammation indexes, is a more reliable predictor in determining SVGD than the NLR, PLR, and LMR.

To investigate whether the MAPH score, which is a new score that combines blood viscosity biomarkers such as mean platelet volume (MPV), total protein and hematocrit, can be used to predict thrombus burden in ST-segment elevation myocardial infarction (STEMI) patients. A total of 473 consecutive patients with STEMI were included in the study. Intracoronary tirofiban/abciximab infusion was applied to patients with thrombus load ≥3 and these patients (n = 71) were defined as the patient group with high thrombus load. MPV, age, hematocrit and total protein values of the patients were recorded. High shear rate (HSR) and low shear rate (LSR) were calculated from total protein and hematocrit values. Cut-off values were determined for high thrombus load by using Youden index, and score was determined as 0 or 1 according to cut-offs. The sum of the scores was calculated as the MAPH score. The mean age of the patients included in the study was 59.6 ± 12.6 (n = 354 male, 74.8%). There was no difference between the groups in terms of gender, HT and DM (P = .127, P = .402 and P = .576, respectively). In the group with high thrombus load; total protein, MPV and hematocrit values were higher (P < .001, P = .001 and P = .03, respectively). Comparison of receiver operating characteristic (ROC) curve analysis revealed that the MAPH score had better performance in predicting higher thrombus load than both other self-containing parameters and HSR and LSR. The MAPH score may be a new score that can be used to determine thrombus burden in STEMI patients.

Stent thrombosis (ST) is an uncommon but serious complication in patients undergoing percutaneous coronary intervention (PCI). This study aimed to investigate the effect of atherogenic index of plasma (AIP) on ST. Among the 10,258 patients who underwent coronary angiography between January 2018 and December 2020, 239 patients who underwent PCI with the diagnosis of acute coronary syndrome (ACS) due to ST were included as the study group (ST group) and 459 patients who underwent percutaneous intervention for ACS and did not have any in-stent lesion as the control group (non-ST group). ST classification was done according to the Academic Research Consortium definition. The mean age of the patients was 63.3±10.6 years (483 male, 69.2%). The groups were similar in terms of characteristic properties, comorbidities, and the drugs being used (p>0.05 for all). Drug eluting stents were used in 86.5% of the patients. In the ST group, the median time from stent implantation to thrombosis was 285 days. Mean AIP and the ratio of triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) were statistically significantly higher in the ST group than in the controls (p<0.001 and p=0.018, respectively), and a positive correlation was observed between time from stent implantation to thrombosis and AIP and TG/HDL-C (rS=0.229, p=0.010 and r_S=0.222, p=0.010, respectively). Multivariate logistic regression analysis revealed that stent length, prior ST elevation myocardial infarction, TG/HDL-C, and AIP were independent predictors of ST. AIP is an easy calculable biomarker, and the performance of AIP to predict ST is better than TG/HDL-C.

Resumo Fundamento A patologia subjacente da ectasia da artéria coronária (EC) isolada não foi totalmente elucidada. Objetivo Nosso objetivo foi examinar a relação entre o índice de inflamação imune sistêmica (Sıı), que corresponde à multiplicação da razão neutrófilos-linfócitos (RNL) e as contagens de plaquetas, e EC isolada. Método A população do estudo retrospectivo incluiu 200 pacientes com EC isolada, 200 consecutivos com doença arterial coronariana obstrutiva e 200 consecutivos com angiografia coronária normal. Um valor de p bicaudal Resumo Fundamento A patologia subjacente da ectasia da artéria coronária (EC) isolada não foi totalmente elucidada. Objetivo Nosso objetivo foi examinar a relação entre o índice de inflamação imune sistêmica (Sıı), que corresponde à multiplicação da razão neutrófilos-linfócitos (RNL) e as contagens de plaquetas, e EC isolada. Método A população do estudo retrospectivo incluiu 200 pacientes com EC isolada, 200 consecutivos com doença arterial coronariana obstrutiva e 200 consecutivos com angiografia coronária normal. Um valor de p bicaudal