Transvascular transcatheter aortic valve implantation in 2017

Troponin as a predictor of outcomes in transcatheter aortic valve implantation: systematic review and meta-analysis

BACKGROUND

Transcatheter aortic valve implantation (TAVI) is emerging as a therapeutic gold standard in the management of aortic stenosis. However, post-procedural complications of this procedure are being increasingly recognised. We therefore performed this systematic review and meta-analysis on the prognostic value of elevated troponin prior to TAVI to predict risk of post-procedural complications.

METHODS

We searched Medline (Ovid), Embase (Ovid), and the Cochrane Library from inception until May 2022, and included studies on the association between elevated pre-procedural troponin with 30-day mortality, long-term mortality, and post-procedural myocardial injury (PPMI). We generated summary odds ratios (OR) and hazards ratios (HR) using random-effects meta-analysis and performed subgroup analyses to evaluate differences in troponin threshold selection. Inter-study heterogeneity was tested using the I² test.

RESULTS

We included 10 studies involving 4200 patients. Serum troponin elevation prior to TAVI was significantly associated with long-term mortality [HR = 2.09 (95% CI 1.30-3.36)], but not with 30-day mortality [OR 1.76 (95% CI 0.96-3.22)]. Subgroup analysis showed a trend towards increased effect size and statistical significance for 30-day mortality as troponin elevation was more narrowly defined. Two studies reported on PPMI and found no statistically significant mean difference between groups.

CONCLUSIONS

Raised serum troponin is associated with increased long-term mortality following TAVI. Further clarification on the optimal troponin threshold for risk identification is required. High-quality studies that utilise ROC analysis for threshold selection are warranted.

Transcatheter aortic valve implantation vs. surgical aortic valve replacement for aortic stenosis in Taiwan: A population-based cohort study

OBJECTIVE

Aortic stenosis (AS) is a heart valve disease characterized by left ventricular outflow fixed obstruction. It can be managed by surgical aortic valve replacement (SAVR) or transcatheter aortic valve implantation (TAVI). However, real-world evidence for TAVI or SAVR outcomes is lacking in Taiwan. This study aimed to compare the clinical outcomes of TAVI and SAVR for treating of AS in Taiwan.

MATERIALS AND METHODS

The National Health Insurance Research Database is a nationally representative cohort that contains detailed registry and claims data from all 23 million residents of Taiwan. This retrospective cohort study used this database to compare patients who underwent SAVR (bioprosthetic valves) or TAVI from 2017 to 2019. Survival outcomes and length of hospital stay (LOS) and intensive care unit (ICU) stay between TAVI and SAVR in the matched cohort. A Cox proportional hazards model was performed to identify the effect of treatment type on survival rates while controlling variables including age, gender, and comorbidities.

RESULTS

We identified 475 and 1605 patients who underwent TAVI and SAVR with a bioprosthetic valve, respectively. Patients who underwent TAVI were older (82.19 vs. 68.75 y/o) and more likely to be female (55.79% vs. 42.31%) compared with patients who underwent SAVR. Propensity score matching (PSM) on age, gender, and Elixhauser Comorbidity Index (ECI) score revealed that 375 patients who underwent TAVI were matched with patients who underwent SAVR. A significant difference was found in survival rates between TAVI and SAVR. The 1-year mortality rate was 11.44% with TAVI and 17.55% with SAVR. Both the mean total LOS (19.86 vs. 28.24 days) and mean ICU stay (6.47 vs. 11.12 days) for patients who underwent TAVI were shorter than those who underwent SAVR.

CONCLUSION

Patients who had undergone TAVI had better survival outcomes and shorter LOS compared with patients who had undergone SAVR in Taiwan.

Left ventricular stroke volume index following transcatheter aortic valve replacement is an early predictor of 1-year survival

BACKGROUND

Adverse cardiac events are common following transcatheter aortic valve replacement (TAVR). Our aim was to investigate the low left ventricular stroke volume index (LVSVI) 30 days after TAVR as an early echocardiographic marker of survival.

HYPOTHESIS

Steady-state (30-day) LVSVI after TAVR is associated with 1-year mortality.

METHODS

A single-center retrospective analysis of all patients undergoing TAVR from 2017 to 2019. Baseline and 30-day post-TAVR echocardiographic LVSVI were calculated. Patients were stratified by pre-TAVR transaortic gradient, surgical risk, and change in transvalvular flow following TAVR.

RESULTS

This analysis focuses on 238 patients treated with TAVR. The 1-year mortality rate was 9% and 124 (52%) patients had normal flow post-TAVR. Of those with pre-TAVR low flow, 67% of patients did not normalize LVSVI at 30 days. The 30-day normal flow was associated with lower 1-year mortality when compared to low flow (4% vs. 14%, p = .007). This association remained significant after adjusting for known predictors of risk (adjusted odds ratio [OR] of 3.45, 95% confidence interval: 1.02-11.63 [per 1 ml/m² decrease], p = .046). Normalized transvalvular flow following TAVR was associated with reduced mortality (8%) when compared to those with persistent (15%) or new-onset low flow (12%) (p = .01).

CONCLUSIONS

LVSVI at 30 days following TAVR is an early echocardiographic predictor of 1-year mortality and identifies patients with worse intermediate outcomes. More work is needed to understand if this short-term imaging marker might represent a novel therapeutic target.

Artificial Intelligence-Based Spiral CT 3D Reconstruction in Transcatheter Aortic Valve Implantation

To evaluate the clinical application effect of spiral computed tomography (CT) three-dimensional (3D) reconstruction based on artificial intelligence in transcatheter aortic valve implantation (TAVI), a CT 3D reconstruction model based on deep convolutional neural networks (DCNN) was established in this research, which was compared with the model-based iterative reconstruction (MBIR) and used in clinical practice. Then, 62 patients with aortic stenosis (AS) who underwent TAVI surgery were recruited as the research objects. The accuracy, sensitivity, and specificity of the multislice spiral CT scan (MSCT) and transthoracic echocardiography (TTE) in predicting the type of TAVI surgical valve were compared and analyzed. The results showed that the mean absolute error (MAE) (0.01) and root mean square error (RMSE) (0.086) of the MBIR model were higher than the reconstruction model in this research. The structural similarity (SSIM) (0.831) and peak signal-to noise ratio (PSNR) (32.77 dB) of the MBIR model were lower than the reconstruction model, and the differences were considerable ( $P<0.05$ ). Of the valve models selected based on the TTE measurement results, 35 cases were accurately predicted and 27 cases were incorrectly predicted. The accuracy of MSCT was 87.1%, the specificity was 98.84%, and the sensitivity was 92.87%; all of which were significantly higher than TTE ( $P<0.05$ ). In summary, compared with the MBIR reconstruction model, the imaging results of the model established in this research were closer to the real image. Compared with TTE, MSCT had higher accuracy, sensitivity, and specificity and can provide more accurate preoperative predictions for patients undergoing TAVI surgery.

Risk-related short-term clinical outcomes after transcatheter aortic valve implantation and their impact on early mortality: an analysis of claims-based data from Germany

Objectives

We aimed to define and assess risk-specific adverse outcomes after transcatheter aortic valve implantation (TAVI) in an all-comers patient population based on German administrative claims data.

Methods

Administrative claims data of patients undergoing transvascular TAVI between 2017 and 2019 derived from the largest provider of statutory health-care insurance in Germany were used. Patients’ risk profile was assessed using the established Hospital Frailty Risk (HFR) score and 30-day adverse events were evaluated. Multivariable logistic regression models were applied to investigate the relation of patients’ risk factors to clinical outcomes and, subsequently, of clinical outcomes to mortality.

Results

A total of 21,430 patients were included in the analysis. Of those, 51% were categorized as low-, 37% as intermediate-, and 12% as high-risk TAVI patients according to HFR score. Whereas low-risk TAVI patients showed low rates of periprocedural adverse events, TAVI patients at intermediate or high risk suffered from worse outcomes. An increase in HFR score was associated with an increased risk for all adverse outcome measures. The strongest association of patients’ risk profile and outcome was present for cerebrovascular events and acute renal failure after TAVI. Independent of patients’ risk, the latter showed the strongest relation with early mortality after TAVI.

Conclusions

Differentiated outcomes after TAVI can be assessed using claims-based data and are highly dependent on patients’ risk profile. The present study might be of use to define risk-adjusted outcome margins for TAVI patients in Germany on the basis of health-insurance data.

Graphical abstract

Supplementary Information

The online version contains supplementary material available at 10.1007/s00392-022-02009-y.

Transcatheter-based aortic valve replacement vs. isolated surgical aortic valve replacement in 2020

BACKGROUND

Based on the results of several recent randomized trials, European and American guidelines on valvular heart disease management have substantially expanded the indications for transcatheter aortic valve implantation (TAVI). We present an all-comer data on peri-operative risk profile and in-hospital outcomes from Germany for patients treated by TAVI or isolated surgical aortic valve replacement (iSAVR) in 2020, providing an opportunity to compare study data with data from daily clinical practice.

METHODS

Data concerning all isolated aortic valve procedures performed in Germany in 2020 were retrieved from the mandatory nationwide quality control program. Expected mortality was calculated with the annually revised German Aortic valve score (AKL-score) based on the data of either catheter-based (AKL-CATH) or isolated surgical (AKL-CHIR) aortic valve replacement in Germany from the previous year (2019).

RESULTS

In 2020 21,903 TAVI procedures (20,810 transvascular (TV; vs. 2019: 22.973; - 9.4%), 1093 transapical (TA; vs. 2019: 1413; - 22.6%)) and 6144 (vs. 2019 7905; - 22.5%) iSAVR were performed in Germany. Patients who received TAVI showed a significantly higher perioperative risk profile than patients undergoing iSAVR based on older age and more severe co-morbidities. While in-hospital mortality after TAVI (2.3%) was numerically lower than in 2019 (2.5%), this difference was not significant (p = 0.11). In-hospital mortality after iSAVR was identical in 2020 and 2019 (2.8%) and thus higher than after TAVI (p = 0.003), resulting in an observed expected mortality ratio of 1.02 after TAVI and 1.05 after iSAVR. After exclusion of the emergency procedures, in-hospital mortality did not differ significantly between the groups (TAVI 2.2% vs. iSAVR 1.9%, p = 0.26).

CONCLUSION

Total numbers of both iSAVR and TAVI in Germany were lower in 2020 than in 2019, most likely due to the COVID-19 pandemic. However, the relative number of patients treated by TAVI as compared to iSAVR continues to increase. Despite older age and more severe comorbidities compared to patients undergoing iSAVR the in-hospital mortality after TAVI continued to decrease in 2020 and remains significantly lower than after iSAVR.

Aortic valve replacement in Germany in 2019

AIMS

Both surgical aortic valve replacement (SAVR) and transcatheter aortic valve implantation (TAVI) are established options to treat aortic valve stenosis. We present the outcome of the complete cohort of all patients undergoing SAVR or TAVI in Germany during the calendar year 2019.

METHODS AND RESULTS

Data concerning all isolated aortic valve procedures performed in Germany in 2019 were retrieved from the mandatory nationwide quality control program: 22,973 transvascular (TV)-TAVI procedures, 7905 isolated SAVR (iSAVR), and 1413 transapical (TA)-TAVI. Data was complete in 99.9% (n = 32,156). In-hospital mortality after TV-TAVI (2.3%) was significantly lower when compared with iSAVR (2.8%, p = 0.007) or TA-TAVI (6.3%; p < 0.001). Expected mortality was calculated with a new version of the German Aortic valve score (AKL Score) based on the data of either catheter-based (AKL-CATH) or surgical (AKL-CHIR) aortic valve replacements in Germany in 2018. TV-TAVI and iSAVR both showed lower observed mortality in 2019 than expected based on their respective performance in 2018, yielding an observed/expected (O/E) mortality ratio < 1. This was particularly apparent for patients at low risk. After exclusion of emergency procedures, in-hospital mortality after TV-TAVI (2.1%) and after iSAVR (2.1%) was identical, even though patients undergoing TV-TAVI showed a considerably higher perioperative risk profile.

CONCLUSION

After excluding emergency procedures, in-hospital mortality of TV-TAVI and iSAVR in 2019 in Germany was identical. In 2019, TV-TAVI and iSAVR both show lower matched mortality ratios compared with 2018, which suggests technical improvements of both therapies.

Metabolomic profiling of patients with high gradient aortic stenosis undergoing transcatheter aortic valve replacement

Aim

Aim of our study was to evaluate metabolic changes in patients with aortic stenosis (AS) before and after transcatheter aortic valve replacement (TAVR) and to assess whether this procedure reverses metabolomic alterations.

Methods

188 plasma metabolites of 30 patients with severe high-gradient aortic valve stenosis (pre-TAVR and 6 weeks post-TAVR) as well as 20 healthy controls (HC) were quantified by liquid chromatography tandem mass spectrometry. Significantly altered metabolites were then correlated to an extensive patient database of clinical parameters at the time of measurement.

Results

Out of the determined metabolites, 26.6% (n = 50) were significantly altered in patients with AS pre-TAVR compared to HC. In detail, 5/40 acylcarnitines as well as 10/42 amino acids and biogenic amines were mainly increased in AS, whereas 29/90 glycerophospholipids and 6/15 sphingomyelins were mainly reduced. In the post-TAVR group, 10.1% (n = 19) of metabolites showed significant differences when compared to pre-TAVR. Moreover, we found nine metabolites revealing reversible concentration levels. Correlation with clinically important parameters revealed strong correlations between sphingomyelins and cholesterol (r = 0.847), acylcarnitines and brain natriuretic peptide (r = 0.664) and showed correlation of acylcarnitine with an improvement of left ventricular (LV) ejection fraction (r = − 0.513) and phosphatidylcholines with an improvement of LV mass (r = − 0.637).

Conclusion

Metabolic profiling identified significant and reversible changes in circulating metabolites of patients with AS. The correlation of circulating metabolites with clinical parameters supports the use of these data to identify novel diagnostic as well as prognostic markers for disease screening, pathophysiological studies as well as patient surveillance.

Electronic supplementary material

The online version of this article (10.1007/s00392-020-01754-2) contains supplementary material, which is available to authorized users.

Prognosis of persistent mitral regurgitation in patients undergoing transcatheter aortic valve replacement

OBJECTIVE

The objective of this study was to assess imaging predictors of mitral regurgitation (MR) improvement and to evaluate the impact of MR regression on long-term outcome in patients undergoing transcatheter aortic valve replacement (TAVR).

BACKGROUND

Concomitant MR is a frequent finding in patients with severe aortic stenosis but usually left untreated at the time of TAVR.

METHODS

Mitral regurgitation was graded by transthoracic echocardiography before and after TAVR in 677 consecutive patients with severe aortic stenosis. 2-year mortality was related to the degree of baseline and discharge MR. Morphological echo analysis was performed to determine predictors of MR improvement.

RESULTS

15.2% of patients presented with baseline MR ≥ 3 +, which was associated with a significantly decreased 2-year survival (57.7% vs. 74.4%, P < 0.001). MR improved in 50% of patients following TAVR, with 44% regressing to MR ≤ 2 +. MR improvement to ≤ 2 + was associated with significantly better survival compared to patients with persistent MR ≥ 3 +. Baseline parameters including non-severe baseline MR, the extent of mitral annular calcification and large annular dimension (≥ 32 mm) predicted the likelihood of an improvement to MR ≤ 2 +. A score based on these parameters selected groups with differing probability of MR ≤ 2 + post TAVR ranging from 10.5 to 94.4% (AUC 0.816; P < 0.001), and was predictive for 2-year mortality.

CONCLUSION

Unresolved severe MR is a critical determinant of long term mortality following TAVR. Persistence of severe MR following TAVR can be predicted using selected parameters derived from TTE-imaging. These data call for close follow up and additional mitral valve treatment in this subgroup. Factors associated with MR persistence or regression after TAVR.

Machine learning-based risk prediction of intrahospital clinical outcomes in patients undergoing TAVI

BACKGROUND

Currently, patient selection in TAVI is based upon a multidisciplinary heart team assessment of patient comorbidities and surgical risk stratification. In an era of increasing need for precision medicine and quickly expanding TAVI indications, machine learning has shown promise in making accurate predictions of clinical outcomes. This study aims to predict different intrahospital clinical outcomes in patients undergoing TAVI using a machine learning-based approach. The main clinical outcomes include all-cause mortality, stroke, major vascular complications, paravalvular leakage, and new pacemaker implantations.

METHODS AND RESULTS

The dataset consists of 451 consecutive patients undergoing elective TAVI between February 2014 and June 2016. The applied machine learning methods were neural networks, support vector machines, and random forests. Their performance was evaluated using five-fold nested cross-validation. Considering all 83 features, the performance of all machine learning models in predicting all-cause intrahospital mortality (AUC 0.94-0.97) was significantly higher than both the STS risk score (AUC 0.64), the STS/ACC TAVR score (AUC 0.65), and all machine learning models using baseline characteristics only (AUC 0.72-0.82). Using an extreme boosting gradient, baseline troponin T was found to be the most important feature among all input variables. Overall, after feature selection, there was a slightly inferior performance. Stroke, major vascular complications, paravalvular leakage, and new pacemaker implantations could not be accurately predicted.

CONCLUSIONS

Machine learning has the potential to improve patient selection and risk management of interventional cardiovascular procedures, as it is capable of making superior predictions compared to current logistic risk scores.

Predictors for low TAVI-prosthesis position assessed by fusion imaging of pre- and post-procedural CT angiography

Background

Low prosthesis position after transcatheter aortic valve implantation (TAVI) is associated with higher rates of new onset conduction disturbances and permanent pacemaker implantations. Purpose of this study was to investigate possible predictors of a low prosthesis position of the SAPIEN 3 (Edwards Lifesciences, Irvine, California, USA) valve type using fusion imaging of pre- and post-procedural computed tomography angiography (CTA).

Methods

CTA fusion imaging was performed in 120 TAVI-patients with 3D-reconstruction of the transcatheter heart valve (THV) position within the device landing zone. A low implantation position was defined according to the manufacturer’s recommendations as > 30% of the prosthesis below the native annulus plane.

Results

A low THV position was found in 17 patients (14%). Patients with low THV position had less calcification of the annulus region and a smaller annulus size compared to patients with a normal or high THV position (P = 0.003 and 0.041, respectively). The only independent predictor of a low THV position in multivariate logistic regression analysis was the extent of calcification of the cusp region (odds ratio [CI] 0.842 [0.727–0.976], P = 0.022).

Conclusions

Fusion imaging of pre-and post-procedural CTA identified reduced calcification of the cusp region as an independent predictor of a low THV position of the SAPIEN 3. This should be considered when planning the TAVI procedure.

Graphic abstract

Correlation of cusp region calcification and prosthesis position after TAVI

Expert consensus document on the assessment of the severity of aortic valve stenosis by echocardiography to provide diagnostic conclusiveness by standardized verifiable documentation

According to recent recommendations on echocardiographic assessment of aortic valve stenosis direct measurement of transvalvular peak jet velocity, calculation of transvalvular mean gradient from the velocities using the Bernoulli equation and calculation of the effective aortic valve area by continuity equation are the appropriate primary key instruments for grading severity of aortic valve stenosis. It is obvious that no gold standard can be declared for grading the severity of aortic stenosis. Thus, conclusions of the exclusive evaluation of aortic stenosis by Doppler echocardiography seem to be questionable due to the susceptibility to errors caused by methodological limitations, mathematical simplifications and inappropriate documentation. The present paper will address practical issues of echocardiographic documentation to satisfy the needs to analyze different scenarios of aortic stenosis due to various flow conditions and pressure gradients. Transesophageal and multidimensional echocardiography should be implemented for reliable measurement of geometric aortic valve area and of cardiac dimensions at an early stage of the diagnostic procedure to avoid misinterpretation due to inconsistent results.