Abstract Introduction: The Glasgow prognostic score (GPS) reflects host systemic inflammatory response and has been reported to be significant as a prognostic indicator in cancer-bearing patients. The aim of this study was to evaluate the predictive value of GPS in outcomes of patients with severe aortic stenosis who were treated with transcatheter aortic valve implantation (TAVI). Methods: The study population consisted of 79 patients who underwent TAVI due to severe aortic stenosis between January 2018 and March 2019 in our clinic. Echocardiographic and laboratory data were recorded before the procedure and GPS was scored as 0, 1, or 2, based on serum albumin and C-reactive protein levels. European System for Cardiac Operative Risk Evaluation II scoring system was used for risk stratification. The primary endpoints of the study were postoperative in-hospital mortality, hospitalization due to cardiac causes, or mortality within a year. Results: The 79 patients were classified into two groups according to outcomes. Fifteen patients (19%) reached the primary endpoints at one year of follow-up. Compared to the patients who did not reach the endpoints, these 15 patients were not different in terms of age, preoperative mean gradient, and ejection fraction (P>0.05 for all). GPS was the only laboratory parameter with statistically significant difference between the groups (P=0.008) and multivariate analysis showed that GPS was independent predictor of primary endpoints (P=0.012, odds ratio 4.51, 95% confidence interval 1.39-14.60). Conclusion: GPS is an easy, noninvasive laboratory test which may be used as a predictive biomarker for outcomes in patients undergoing TAVI.

SUMMARY OBJECTIVE: 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). METHODS: 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. RESULTS: 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. CONCLUSION: 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.