The Prognostic Significance of Uric Acid/Albumin Ratio in Patients with Aortic Stenosis Following Transcatheter Aortic Valve Implantation for Major Adverse Cardiac and Cerebral Events.

Autor: Biter HI; Sultangazi Haseki Training and Research Hospital, Istanbul 34260, Turkey., Tosu AR; Sultangazi Haseki Training and Research Hospital, Istanbul 34260, Turkey.
Jazyk: angličtina
Zdroj: Medicina (Kaunas, Lithuania) [Medicina (Kaunas)] 2023 Mar 30; Vol. 59 (4). Date of Electronic Publication: 2023 Mar 30.
DOI: 10.3390/medicina59040686
Abstrakt: Background : The goal of this study was to examine if the uric acid/albumin ratio (UAR) could predict major adverse cardiac and cerebral events (MACCEs) such as stroke, readmission, and short-term all-cause death in aortic stenosis (AS) patients, after transcatheter aortic valve implantation (TAVI). Material and Methods : A total of 150 patients who had TAVI for AS between 2013 and 2022 were included in our study, retrospectively. Before the TAVI, each patient's baseline uric acid/albumin was determined. The study's major endpoint was MACCEs, which included stroke, re-hospitalization, and 12-month all-cause death. Results : The UAR was found to be higher in TAVI patients who developed MACCEs than in those who did not develop them. Multivariate Cox regression analysis revealed that the UAR (HR: 95% CI; 2.478 (1.779-3.453) p < 0.01), was an independent predictor of MACCEs in AS patients after TAVI. The optimal value of the UAR for MACCEs in AS patients following TAVI was >1.68 with 88% sensitivity and 66% specificity (AUC (the area under the curve): 0.899, p < 0.01). We noted that the AUC of UAR in predicting MACCEs was significantly higher than the AUC of albumin (AUC: 0.823) and uric acid (AUC: 0.805, respectively). Conclusion : MACCEs in AS patients who received TAVI may be predicted by high pre-procedural uric acid/albumin levels. The uric acid/albumin ratio (UAR) can be used to determine MACCEs in such patients following TAVI because it is inexpensive and straightforward to calculate inflammatory parameters.
Databáze: MEDLINE