Evaluating the Association between Contrast Medium Dosage and Acute Kidney Injury in Transcatheter Aortic Valve Replacement Using Different Predictive Models

Predicting pre- and post-operative acute kidney injury in elderly patients with coronary artery disease

Background

Limited evidence exists regarding the clinical baseline characteristics at admission for acute kidney injury (AKI) before and after interventional cardiac procedures (ICP) in elderly patients with coronary artery disease (CAD).

Methods

A total of 488 elderly patients were enrolled in this retrospective single-center study conducted from January 2019 to July 2022, and a classification and regression tree (CART) analysis was performed to identify the high-risk population.

Results

The AKI incidence was 21.1 % (103/488) in this study, with 27 and 76 individuals developing AKI before and after ICP, respectively. CART analysis revealed that exposure to nephrotoxic drugs and diuretics had the strongest predictive capacities for identifying patients at risk of developing pre-ICP AKI, with the incidence among these high-risk patients ranging from 6.5 % to 13.8 %. Meanwhile, the optimum discriminators for identifying those at high risk of post-ICP AKI were the administration of diuretics, D-value ≤ -860 mL, age >73 years, and administration of nephrotoxic drugs, and the latter model predicted that the AKI incidence among high-risk patients was between 50.0 % and 60.0 %.

Conclusions

Elderly patients with CAD exhibited an elevated incidence of AKI. CART models suggested that exposure to nephrotoxic drugs and diuretics, D-value, and age were significantly associated with AKI in the elderly with CAD. Importantly, these baseline characteristics at admission could be utilized to identify elderly patients at high risk of pre- and post-ICP AKI.

Predictive Value of the Modified Mehran Score for Contrast-Induced Nephropathy After Transcatheter Aortic Valve Implantation

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.

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

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 m2 (AUC, 0.61; 95% CI, 0.56-0.67).

CONCLUSIONS

MS was shown to be a predictor of AKI development in TAVI patients.

White paper on mitigating risk factors for acute kidney injury in TAVR: A protocol to decrease TAVR-associated AKI

Acute kidney injury (AKI) after transcatheter aortic valve replacement (TAVR) portends a poor prognosis. In the TVT registry, AKI after TAVR occurred in 10% of the patients. The etiology of AKI after TAVR is multifactorial but contrast volume remains one of the few modifiable risk factors. As patients referred for TAVR have multiple touch points within a siloed healthcare system, there remains an unmet clinical need of a well-defined clinical pathway to minimize the risk of AKI from the time of referral for TAVR to the completion of the procedure. This white paper aims to provide such a clinical pathway.

Acute Kidney Injury Following Transcatheter Aortic Valve Implantation: Association with Contrast Media Dosage and Contrast Media Based Risk Predication Models

The effect of contrast media (CM), delivered prior to- and during transcatheter aortic valve implantation (TAVI), on kidney function, following the procedure, is debatable. Consequently, the performance of CM-based, acute kidney injury (AKI) risk prediction models is also questionable. We retrospectively studied 210 patients that underwent TAVI. We recorded the dose of CM used prior and during TAVI, calculated the results of different AKI risk assessment models containing a CM module, and tested their association with AKI after the procedure. AKI was diagnosed in 38 patients (18.1%). The baseline estimated glomerular filtration rate (eGFR) was lower in the AKI+ group compared to AKI− group (51 ± 19.3 versus 64.5 ± 19 mL/min/1.73 mr², respectively). While the dose of CM delivered prior to TAVI, during TAVI or the cumulative amount of both did not differ between the groups, the results of all tested risk models were higher in AKI+ patients. However, by multivariable analysis, only eGFR had a consistent independent association with AKI. We suggest that the dose of CM delivered prior or during TAVI is not associated with AKI and that the predictive power of CM based AKI risk models is, in all probability, limited to eGFR alone.

Aortic Annular Sizing Using Novel Software in Three-Dimensional Transesophageal Echocardiography for Transcatheter Aortic Valve Replacement: A Systematic Review and Meta-Analysis

(1) Background: We performed this study to evaluate the agreement between novel automated software of three-dimensional transesophageal echocardiography (3D-TEE) and multidetector computed tomography (MDCT) for aortic annular measurements of preprocedural transcatheter aortic valve replacement (TAVR); (2) Methods: PubMed, EMBASE, Web of Science, and Cochrane Library (Wiley) databases were systematically searched for studies that compared 3D-TEE and MDCT as the reference standard for aortic annular measurement of the following parameters: annular area, annular perimeter, area derived-diameter, perimeter derived-diameter, maximum and minimum diameter. Meta-analytic methods were utilized to determine the pooled correlations and mean differences between 3D-TEE and MDCT. Heterogeneity and publication bias were also assessed. Meta-regression analyses were performed based on the potential factors affecting the correlation of aortic annular area; (3) Results: A total of 889 patients from 10 studies were included in the meta-analysis. Pooled correlation coefficients between 3D-TEE and MDCT of annulus area, perimeter, area derived-diameter, perimeter derived-diameter, maximum and minimum diameter measurements were strong 0.89 (95% CI: 0.84-0.92), 0.88 (95% CI: 0.83-0.92), 0.87 (95% CI: 0.77-0.93), 0.87 (95% CI: 0.77-0.93), 0.79 (95% CI: 0.64-0.87), and 0.75 (95% CI: 0.61-0.84) (Overall p < 0.0001), respectively. Pooled mean differences between 3D-TEE and MDCT of annulus area, perimeter, area derived-diameter, perimeter derived-diameter, maximum and minimum diameter measurements were -20.01 mm2 ((95% CI: -35.37 to -0.64), p = 0.011), -2.31 mm ((95% CI: -3.31 to -1.31), p < 0.0001), -0.22 mm ((95% CI: -0.73 to 0.29), p = 0.40), -0.47 mm ((95% CI: -1.06 to 0.12), p = 0.12), -1.36 mm ((95% CI: -2.43 to -0.30), p = 0.012), and 0.31 mm ((95% CI: -0.15 to 0.77), p = 0.18), respectively. There were no statistically significant associations with the baseline patient characteristics of sex, age, left ventricular ejection fraction, mean transaortic gradient, and aortic valve area to the correlation between 3D-TEE and MDCT for aortic annular area sizing; (4) Conclusions: The present study implies that 3D-TEE using novel software tools, automatically analysis, is feasible to MDCT for annulus sizing in clinical practice.