The Importance of Mehran Score to Predict Acute Kidney Injury in Patients with TAVI: A Large Multicenter Cohort Study.

Autor:	Arrotti S; Cardiology Division, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Policlinico di Modena, 41124 Modena, Italy., Sgura FA; Cardiology Division, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Policlinico di Modena, 41124 Modena, Italy., Monopoli DE; Cardiology Division, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Policlinico di Modena, 41124 Modena, Italy., Siena V; Cardiology Division, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Policlinico di Modena, 41124 Modena, Italy., Leo G; Cardiology Division, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Policlinico di Modena, 41124 Modena, Italy., Morgante V; Cardiology Division, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Policlinico di Modena, 41124 Modena, Italy., Cataldo P; Cardiology Division, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Policlinico di Modena, 41124 Modena, Italy., Magnavacchi P; Cardiology Division, Baggiovara Hospital, 41100 Modena, Italy., Gabbieri D; Cardiac Surgery Division, Hesperia Hospital, 41125 Modena, Italy., Guiducci V; Division of Cardiology, AUSL-IRCCS Reggio Emilia, 42121 Reggio Emilia, Italy., Benatti G; Cardiology Division, Parma University Hospital, 44129 Parma, Italy., Vignali L; Cardiology Division, Parma University Hospital, 44129 Parma, Italy., Boriani G; Cardiology Division, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Policlinico di Modena, 41124 Modena, Italy., Rossi R; Cardiology Division, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Policlinico di Modena, 41124 Modena, Italy.
Jazyk:	angličtina
Zdroj:	Journal of cardiovascular development and disease [J Cardiovasc Dev Dis] 2023 May 24; Vol. 10 (6). Date of Electronic Publication: 2023 May 24.
DOI:	10.3390/jcdd10060228
Abstrakt:	Background: Transcatheter aortic valve implantation (TAVI) has developed as an alternative to surgery for symptomatic high-risk patients with aortic stenosis (AS). An important complication of TAVI is acute kidney injury. The purpose of the study was to investigate if the Mehran Score (MS) could be used to predict acute kidney injury (AKI) in TAVI patients. Methods: This is a multicenter, retrospective, observational study including 1180 patients with severe AS. The MS comprised eight clinical and procedural variables: hypotension, congestive heart failure class, glomerular filtration rate, diabetes, age >75 years, anemia, need for intra-aortic balloon pump, and contrast agent volume use. We assessed the sensitivity and specificity of the MS in predicting AKI following TAVI, as well as the predictive value of MS with each AKI-related characteristic. Results: Patients were categorized into four risk groups based on MS: low (≤5), moderate (6-10), high (11-15), and very high (≥16). Post-procedural AKI was observed in 139 patients (11.8%). MS classes had a higher risk of AKI in the multivariate analysis (HR 1.38, 95% CI, 1.43-1.63, p < 0.01). The best cutoff for MS to predict the onset of AKI was 13.0 (AUC, 0.62; 95% CI, 0.57-0.67), whereas the best cutoff for eGFR was 42.0 mL/min/1.73 m 2 (AUC, 0.61; 95% CI, 0.56-0.67). Conclusions: MS was shown to be a predictor of AKI development in TAVI patients.
Databáze:	MEDLINE
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