Glasgow Prognostic Score as a Marker of Mortality after TAVI

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.

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Bibliographic Details
Main Authors: Abacioglu,Ozge Ozcan, Koyunsever,Nermin Yildiz, Kilic,Salih, Yildirim,Arafat, Kurt,Ibrahim Halil
Format: Digital revista
Language:English
Published: Sociedade Brasileira de Cirurgia Cardiovascular 2021
Online Access:http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-76382021000600796
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