Predictive Value of the Modified Mehran Score for Contrast-Induced Nephropathy After Transcatheter Aortic Valve Implantation.
Emre ÖzdemirFiliz Akyıldız AkçaySaban EsenSadık Volkan EmrenMustafa KaracaCem NazlıTuncay KırışPublished in: Angiology (2023)
Considering the increasing use of the transcatheter aortic valve implantation (TAVI) procedure, the relationship of contrast-induced nephropathy (CIN) with post-TAVI mortality has become important. The Mehran score was developed to detect the risk of CIN development after cardiac intervention. We aimed to compare the role of the modified Mehran score, which can be calculated pre-procedure, in predicting CIN development and compare it with the original Mehran score. We retrospectively collected data from TAVI procedures at our institution between December 2016 and June 2021; of 171 patients, 44 (25.7%) had CIN. We found no association between contrast media volume and CIN (387 ± 120 vs 418 ± 139 mL, P = .303). High and very high modified Mehran score and preoperative C-reactive protein (CRP) level were independent risk factors for CIN development after TAVI procedure. The area under curve (AUC) was .686 with 95% CI: .591-.780 and P < .001, and also, with a cut-off point of >7.5 points, there was 79.5% sensitivity and 63.0% specificity; otherwise, with a cut-off point of >9.5 points, there was 54.5% sensitivity and 71.7% specificity, for the modified Mehran score. The modified Mehran score comes into prominence compared with the original Mehran score since it can be calculated pre-procedure.
Keyphrases
- transcatheter aortic valve implantation
- aortic valve
- aortic stenosis
- aortic valve replacement
- ejection fraction
- transcatheter aortic valve replacement
- magnetic resonance
- randomized controlled trial
- minimally invasive
- cardiovascular disease
- high glucose
- computed tomography
- heart failure
- chronic kidney disease
- magnetic resonance imaging
- risk factors
- machine learning
- prognostic factors
- coronary artery disease
- electronic health record
- cardiovascular events
- diabetic rats
- left ventricular
- drug induced
- oxidative stress
- patients undergoing
- endothelial cells
- big data
- atrial fibrillation
- data analysis