Why the study?
The Glasgow Prognostic Score has shown prognostic value in various cardiac pathologies, but its utility in predicting 1-year mortality after TAVI required investigation.
Does the Glasgow Prognostic Score predict 1-year mortality in patients undergoing TAVI for severe aortic stenosis?
Does the Glasgow Prognostic Score predict 1-year mortality in patients undergoing TAVI for severe aortic stenosis?
The Glasgow Prognostic Score, a simple metric combining CRP and albumin, can predict 1-year mortality in patients undergoing TAVI.
Aim The Glasgow Prognostic Score (GPS) is a scoring system obtained by using inflammatory (C-reactive protein) and nutritional (albumin) parameters together, and it has been shown to have prognostic value in various cardiac pathologies in previous studies. In this study, we aimed to investigate the usability of the Glasgow Prognostic Score (GPS) in predicting 1-year mortality in patients who underwent transcatheter aortic valve implantation (TAVI). Method Patients who underwent TAVI with the diagnosis of severe, symptomatic aortic stenosis in our hospital between 2013 and 2017 were included in this single center study retrospectively. Demographic, clinical and laboratory data were obtained by reviewing patient files. GPS value was calculated by using C-reactive protein and albumin values which was obtained on admission to. Two groups were formed as survivors and non-survivors according to 1-year mortality data. Results A total of 170 patients were included in this retrospective study and 59 patients constituted the non-survivors group. History of chronic obstructive pulmonary disease and cerebrovascular disease were higher in non-survivors’ group. High STS-TAVR, Euro SCORE II and GPS levels were also higher in non-survivors group. High GPS value calculated with pre-procedural data was determined as a predictor of 1-year mortality. Conclusion The Glasgow Prognostic Score allows the evaluation of inflammation and nutritional status together, is a practical method that can be obtained from routine laboratory parameters. It can be used as a predictor of mortality in patients undergoing TAVI. It can guide clinicians in taking preventive measures to reduce mortality before the procedure.
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Dönmez et al. (2023) studied this question.
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