Rates and predictors of hospital readmission after transcatheter aortic valve implantation

Clinical implications of Sokolow-Lyon voltage less than 3.5 mV in patients who have undergone transcatheter aortic valve replacement

BACKGROUND

Degenerative severe aortic valve stenosis (AS) is increasingly prevalent in the aging population, leading to the adoption of transcatheter aortic valve replacement (TAVR) as a less invasive alternative. While TAVR indications have expanded, the procedure is associated with a substantial incidence of major adverse cardiac events (MACE). The study aims to establish a preoperative risk-stratification system for TAVR candidates based on Sokolow-Lyon voltage (SLV) and other relevant factors.

METHODS

A total of 181 consecutive patients who underwent TAVR were retrospectively reviewed. Baseline characteristics, preoperative electrocardiogram (ECG) and echocardiography findings, and TAVR procedures were assessed. Low SLV (<3.5 mV) was defined based on ECG measurements.

RESULTS

Baseline characteristics revealed a mean age of 84 years, with 71.8% females. The two-year incidence of MACE defined as a composite of cardiac death and hospitalization due to heart failure, was 11.6%, significantly higher in the low SLV group. Low SLV emerged as an independent prognostic factor. The Tokyo Bay Risk (TBR) Score, including low SLV, Body Mass Index <18.5 kg/m2, and previous coronary artery disease, effectively stratified MACE risk. Higher TBR scores (2 or 3) correlated with increased MACE risk.

CONCLUSIONS

Patients with low SLV in pre-procedural ECG demonstrated a heightened risk of two-year MACE. The TBR score, incorporating low SLV, proved valuable for preoperative risk assessment. Careful consideration of TAVR indications, along with TBR score integration, is crucial for optimizing outcomes.

Quality of epicardial adipose tissue predicts major adverse cerebral and cardiovascular events following transcatheter aortic valve implantation

Epicardial adipose tissue (EAT) have been shown to be associated with several heart disease, including coronary artery disease (CAD), atrial fibrillation (AF), and heart failure (HF). It is reported that the quality of EAT, represented by fat attenuation determined using computed tomography (CT) imaging, can detect the histologically-assessed remodeled EAT. We tested the hypothesis that quality of EAT would predict major adverse cerebral and cardiovascular events (MACCE) following transcatheter aortic valve implantation (TAVI) in patients with aortic stenosis (AS). A total of 125 consecutive severe AS patients who underwent TAVI were enrolled (39 male, mean 85.4 ± 4.0 years). Using CT imaging before TAVI, we measured the average CT fat attenuation of EAT (EAT attenuation) and investigated the association with MACCE. During the mean follow up period of 567 ± 371 days, 21 cases of MACCE were observed. Patients with MACCE had greater levels of EAT attenuation compared to those without (- 74 ± 3.7 Hounsfield Units (HU) vs - 77 ± 5.5 HU, p = 0.010). Based on the ROC curves, the high EAT attenuation was defined as > - 74.3 HU. According to this cut-off index, 44 patients were classified into the high EAT attenuation group (28 female, mean age 87 ± 3.6 years), whereas 81 patients were classified into the low EAT attenuation group (13 female, 85 ± 4.1 years). Kaplan-Meier survival curve demonstrated that the patients in the high EAT attenuation group showed greater prevalence of MACCE (log-rank 6.64, p = 0.010). Cox proportional hazards regression analysis revealed that EAT attenuation and Logistic EuroSCORE were independently associated with the incidence of MACCE. Our results suggest that quality of EAT, assessed by EAT attenuation detected by CT imaging, can predict the cerebral and cardiovascular events after TAVI in patients with AS.

Paravalvular regurgitation after transcatheter aortic valve replacement: incidence, quantification, and prognostic impact

Transcatheter aortic valve replacement (TAVR) is the standard of care in aortic stenosis with results comparable to surgical aortic valve replacement. However, paravalvular regurgitation (PVR) is more common after TAVR. With the alteration of devices and implantation techniques, the incidence of moderate or more PVR has declined. Mild PVR is still common in around 30% of TAVR patients in low-risk trials. Progression of AS causes myocardial hypertrophy and varying degrees of diastolic dysfunction which may cause heart failure even in combination with small volumes of PVR. Any degree of PVR is associated with an increased risk of overall and cardiovascular mortality. Predictors of PVR are annular eccentricity, severe calcification of the aortic valve, bicuspid aortic valves, and type of prosthesis where balloon-expandable devices are associated with less PVR. PVR is diagnosed using echocardiography, aortic angiogram with or without videodensitometry, haemodynamic parameters, or cardiac magnetic resonance. PVR can be treated using post-dilation, interventional treatment using a vascular plug, or implantation of a second device. Successful post-dilation depends on balloon size which should at least be equal to or >95% of the mean annulus diameter. Implantation of a second device to reduce PVR is successful in ∼90% of cases, either through lengthening of the sealing skirt in case of inadequate position or through further expansion of the index device. Implantation of a vascular plug can successfully reduce PVR and reduce mortality.

Prognostic significance and clinical utility of left atrial reservoir strain in transcatheter aortic valve replacement

AIMS

Patients with diastolic dysfunction (DD) experience worse outcomes after transcatheter aortic valve replacement (TAVR). We investigated the prognostic value and clinical utility of left atrial reservoir strain (LARS) in patients undergoing TAVR for aortic stenosis (AS).

METHODS AND RESULTS

All consecutive patients undergoing TAVR between January 2018 and December 2018 were included if discharge echocardiography and follow-up were available. LARS was derived from 2D-speckle-tracking. Patients were grouped into three tertiles according to LARS. DD was analysed using the ASE/EACVI-algorithm. The primary outcome was a composite of all-cause death and readmission for worsening heart failure 12 months after TAVR. Overall, 606 patients were available [age 80 years, interquartile range (IQR) 77-84], including 53% women. Median LARS was 13.0% (IQR 8.4-18.3). Patients were classified by LARS tertiles [mildly impaired 21.4% (IQR 18.3-24.5), moderately impaired 13.0% (IQR 11.3-14.6), severely impaired 7.1% (IQR 5.4-8.4), P < 0.0001]. The primary outcome occurred more often in patients with impaired LARS (mildly impaired 7.4%, moderately impaired 13.4%, and severely impaired 25.7%, P < 0.0001). On adjusted multivariable Cox regression analysis, LARS tertiles [hazard ratio (HR) 0.62, 95% confidence interval (CI) 0.44-0.86, P = 0.005] and higher degree of tricuspid regurgitation (HR 1.82, 95% CI 1.23-2.98, P = 0.003) were the only significant predictors of the primary endpoint. Importantly, DD was unavailable in 56% of patients, but LARS assessment allowed for reliable prognostication regarding the primary endpoint in subgroups without DD assessment (HR 0.64, 95% CI 0.47-0.87, P = 0.003).

CONCLUSION

Impaired LARS is independently associated with worse outcomes in patients undergoing TAVR. LARS allows for risk stratification at discharge even in patients where DD cannot be assessed by conventional echocardiographic means.

Development and Validation of a Machine Learning Risk-Prediction Model for 30-Day Readmission for Heart Failure Following Transcatheter Aortic Valve Replacement (TAVR-HF Score)

Transcatheter aortic valve replacement (TAVR) is the treatment of choice for patients with severe aortic stenosis across the spectrum of surgical risk. About one-third of 30-day readmissions following TAVR are related to heart failure (HF). Hence, we aim to develop an easy-to-use clinical predictive model to identify patients at risk for HF readmission. We used data from the National Readmission Database (2015-2018) utilizing ICD-10 codes to identify TAVR procedures. Readmission was defined as the first unplanned HF readmission within 30-day of discharge. A machine learning framework was used to develop a 30-day TAVR-HF readmission score. The receiver operator characteristic curve was used to evaluate the predictive power of the model. A total of 92,363 cases of TAVR were included in the analysis. Of the included patients, 3299 (3.6%) were readmitted within 30 days of discharge with HF. Individuals who got readmitted, vs those without readmission, had more emergent admissions during index procedure (33.4% vs 19.8%), electrolyte abnormalities (38% vs 16.7%), chronic kidney disease (34.8% vs 21.2%), and atrial fibrillation (60.1% vs 40.7%). Candidate variables were ranked by importance using a parsimony plot. A total of 7 variables were selected based on predictive ability as well as clinical relevance: HF with reduced ejection fraction (25 points), HF preserved EF (20 points), electrolyte abnormalities (17 points), atrial fibrillation (12 points), Charlson comorbidity index (<6 = 0, 6-8 = 9, 9-10 = 13, >10 = 14 points), chronic kidney disease (7 points), and emergent index admission (5 points). On performance evaluation using the testing dataset, an area under the curve of 0.761 (95% CI 0.744-0.778) was achieved. Thirty-day TAVR-HF readmission score is an easy-to-use risk prediction tool. The score can be incorporated into electronic health record systems to identify at-risk individuals for readmissions with HF following TAVR. However, further external validation studies are needed.

Impact of left ventricular inflow-outflow angle on heart failure readmission post-transcatheter aortic valve implantation

Heart failure (HF) readmission post-transcatheter aortic valve implantation (TAVI) is common; however, its anatomical predictors remain unclear. This study identified a small systolic left ventricular inflow-outflow (LVIO) angle, evaluated using computed tomography, as a potential anatomical predictor associated with HF readmission post-TAVI. Patients with a small systolic LVIO angle may require close follow-up post-TAVI.

Fully independent external validation of the Transcatheter Aortic Valve Replacement 30-day (TAVR-30) hospital readmission model

BACKGROUND

Early and late readmissions after Transcatheter Aortic Valve Replacement (TAVR) are common and associated with worse outcome. A risk prediction model (TAVR-30) was recently developed using readily available clinical variables to identify patients at risk for hospital readmission within 30 days after TAVR. We performed an independent external validation of the TAVR-30 model.

METHODS

The Swedish TAVR-registry, linked together with other mandatory national registries was used to identify all TAVR procedures, variables from the original model, hospitalizations and deaths between the years 2008 to 2021.

RESULTS

A total of 8459 patients underwent TAVR, 7693 patients had complete data and were included in the analysis. Out of these, 928 patients experienced a readmission within 30 days. Using the estimates from the original model, a concordance (c)-index of 0.51, a calibration slope of 0.07 and intercept of -0.62 were obtained respectively, overall implying poor model performance.

CONCLUSIONS

This independent external validation indicates poor performance of the TAVR-30 model in a Swedish setting. Further research is needed to develop more reliable tools for predicting the risk of early hospital readmission after TAVR, as well as, for providing a deeper understanding of how to develop risk models that performs well in patients with multiple underlying comorbidities.

Heart Failure after Aortic Valve Replacement: Incidence, Risk Factors, and Implications

Severe aortic stenosis (AS) carries a poor prognosis with the onset of heart failure (HF) symptoms, and surgical or transcatheter aortic valve replacement (AVR) is its only definitive treatment. The management of AS has seen a paradigm shift with the adoption of transcatheter aortic valve replacement (TAVR), allowing for the treatment of AS in patients who would not otherwise be candidates for surgical AVR. Despite improving long-term survival after TAVR in recent years, residual HF symptoms and HF hospitalization are common and are associated with an increased mortality and a poor health status. This review article summarizes the incidence and risk factors for HF after AVR. Strategies for preventing and better managing HF after AVR are necessary to improve outcomes in this patient population. Extensive research is underway to assess whether earlier timing for AVR, prior to the development of severe symptomatic AS and associated extra-valvular cardiac damage, can improve post-AVR patient outcomes.

A Retrospective Review of 30-Day Hospital Readmission Risk After Open Heart Surgery in Patients With Atrial Fibrillation

Introduction Readmission rates after open heart surgery (OHS) remain an important clinical issue. The causes are varied, with identifying risk factors potentially providing valuable information to reduce healthcare costs and the rate of post-operative complications. This study aimed to characterize the reasons for 30-day hospital readmission rates of patients after open heart surgery. Methods All patients over 18 years of age undergoing OHS at a community hospital from January 2020 through December 2020 were identified. Demographic data, medical history, operative reports, post-operative complications, and telehealth interventions were obtained through chart review. Descriptive statistics and readmission rates were calculated, along with a logistic regression model, to understand the effects of medical history on readmission. Results A total of 357 OHS patients met the inclusion criteria for the study. Within the population, 8.68% of patients experienced readmission, 10.08% had an emergency department (ED) visit, and 95.80% had an outpatient office visit. A history of atrial fibrillation (AFib) significantly predicted 30-day hospital readmissions but not ED or outpatient office visits. Telehealth education was delivered to 66.11% of patients. Conclusion The study investigated factors associated with 30-day readmission following OHS. AFib patients were more likely to be readmitted than patients without atrial fibrillation. No other predictors of readmission, ED visits, or outpatient office visits were found. Patients reporting symptoms of tachycardia, pain, dyspnea, or "other" could be at increased risk for readmission.

Acute advanced aortic stenosis

Acute decompensation often represents the onset of symptoms associated with severe degenerative aortic stenosis (AS) and usually complicates the clinical course of the disease with a dismal impact on survival and quality of life. Several factors may derange the faint balance between left ventricular preload and afterload and precipitate the occurrence of symptoms and signs of acute heart failure (HF). A standardized approach for the management of this condition is currently lacking. Medical therapy finds very limited application in this setting, as drugs usually indicated for the control of acute HF might worsen hemodynamics in the presence of AS. Urgent aortic valve replacement is usually performed by transcatheter than surgical approach whereas, over the last decades, percutaneous balloon valvuloplasty gained renewed space as bridge to definitive therapy. This review focuses on the pathophysiological aspects of acute advanced AS and summarizes current evidence on its management.

Thirty-Day Readmission Rate & Healthcare Economic Effects of patients with Transcatheter Aortic Valve Replacement and Co-Existing Chronic Congestive Heart Failure

BACKGROUND

Transcatheter aortic valve replacement (TAVR) procedures have increased since adoption in 2010. Readmission for TAVR patients with underlying chronic congestive heart failure (cCHF) remains challenging. Therefore, we sought to determine the 30-day readmission rate (30-DRr) of patients who undergo TAVR & co-existing cCHF & its impact on mortality & healthcare utilization in the United States.

METHODS

We performed a retrospective study using the national readmission database year 2017 and 2018. The patients studied were discharged with TAVR as a principal diagnosis & underlying cCHF as a secondary diagnosis according to ICD-10 codes. The primary outcome was a 30-day readmission rate and mortality, while secondary outcomes were the most common diagnoses for readmission, & resource utilization.

RESULTS

A total of 76,892 index hospitalization for TAVR with co-existing cCHF: mean age was 79.7 years [SD: ± 2], & 54.5% of patients were males. In-hospital mortality rate for index admission was 1.63%. The 30-DRr was 9.5%. Among the group of readmitted patients, in-hospital mortality rate was 3.13%. Readmission mortality showed a statistically significant increase compared to index mortality (3.13% vs. 1.63%, adjusted p=<0.001, aOR: 2.1, 95% CI: 1.6-2.9). The total healthcare in-hospital economic spending was $94.4 million, and total patient charge of $412 million.

CONCLUSION

Approximately 1 in 10 patients who underwent TAVR with underlying cCHF had 30-DRr, with subsequent readmissions associated with increased healthcare spending. Readmission mortality showed a statistically significant increase when compared to index mortality. TAVR patients with cCHF are a vulnerable subset requiring additional outpatient care.

Heart failure and excess mortality after aortic valve replacement in aortic stenosis

INTRODUCTION

In aortic stenosis (AS), the heart transitions from adaptive compensation to an AS cardiomyopathy and eventually leads to decompensation with heart failure. Better understanding of the underpinning pathophysiological mechanisms is required in order to inform strategies to prevent decompensation.

AREAS COVERED

In this review, we therefore aim to appraise the current pathophysiological understanding of adaptive and maladaptive processes in AS, appraise potential avenues of adjunctive therapy before or after AVR and highlight areas of further research in the management of heart failure post AVR.

EXPERT OPINION

Tailored strategies for the timing of intervention accounting for individual patient's response to the afterload insult are underway, and promise to guide better management in the future. Further clinical trials of adjunctive pharmacological and device therapy to either cardioprotect prior to intervention or promote reverse remodeling and recovery after intervention are needed to mitigate the risk of heart failure and excess mortality.

Readmission rates and risk factors for readmission after transcatheter aortic valve replacement in patients with end-stage renal disease

Objectives

We sought to examine readmission rates and predictors of hospital readmission following TAVR in patients with ESRD.

Background

End-stage renal disease (ESRD) is associated with poor outcomes following transcatheter aortic valve replacement (TAVR).

Methods

We assessed index hospitalizations for TAVR from the National Readmissions Database from 2017 to 2018 and used propensity scores to match those with and without ESRD. We compared 90-day readmission for any cause or cardiovascular cause. Length of stay (LOS), mortality, and cost were assessed for index hospitalizations and 90-day readmissions. Multivariable logistic regression was performed to identify predictors of 90-day readmission.

Results

We identified 49,172 index hospitalizations for TAVR, including 1,219 patients with ESRD (2.5%). Patient with ESRD had higher rates of all-cause readmission (34.4% vs. 19.2%, HR 1.96, 95% CI 1.68–2.30, p<0.001) and cardiovascular readmission (13.2% vs. 7.7%, HR 1.85, 95% CI 1.44–2.38, p<0.001) at 90 days. During index hospitalization, patients with ESRD had longer length of stay (mean difference 1.9 days), increased hospital cost (mean difference $42,915), and increased in-hospital mortality (2.6% vs. 0.9%). Among those readmitted within 90 days, patients with ESRD had longer LOS and increased hospital charge, but similar in-hospital mortality. Diabetes (OR 1.86, 95% CI 1.31–2.64) and chronic pulmonary disease (OR 1.51, 95% CI 1.04–2.18) were independently associated with higher odds of 90-day readmission in patients with ESRD.

Conclusion

Patients with ESRD undergoing TAVR have higher mortality and increased cost associated with their index hospitalization and are at increased risk of readmission within 90 days following TAVR.

Risk Factors for Hospital Readmission Post-Transcatheter Aortic Valve Implantation in the Contemporary Era: A Systematic Review

Background

Despite transcatheter aortic valve implantation (TAVI) becoming a widely accepted therapeutic option for the management of aortic stenosis, post-procedure readmission rates remain high. Rehospitalization is associated with negative patient outcomes, as well as increased healthcare costs, and has therefore been identified as an important target for quality improvement. Strategies to reduce the post-TAVI readmission rate are needed but require the identification of patients at high risk for rehospitalization. Our systematic review aims to identify predictors of post-procedure readmission in patients eligible for TAVI.

Methods

We conducted a comprehensive search of the MEDLINE, Embase, and Cochrane Central Register of Controlled Trials (CENTRAL) databases for the time period from 2015 to the present for articles evaluating risk factors for rehospitalization post-TAVI with a follow-up period of at least 30 days in adults age ≥ 70 years with aortic stenosis. The quality of included studies was evaluated using the Newcastle-Ottawa Scale. We present the results as a qualitative narrative review.

Results

We identified 49 studies involving 828,528 patients. Post-TAVI readmission is frequent, and rates vary (14.9% to 54.3% at 1 year). The most-frequent predictors identified for both 30-day and 1-year post-TAVI readmission are atrial fibrillation, lung disease, renal disease, diabetes mellitus, in-hospital life-threatening bleeding, and non-femoral access.

Conclusions

This systematic review identifies the most-common predictors for 30-day and 1-year readmission post-TAVI, including comorbidities and potentially modifiable procedural approaches and complications. These predictors can be used to identify patients at high-risk for readmission who are most likely to benefit from increased support and follow-up post-TAVI.

[Aortic stenosis: An update]

Aortic stenosis remains one of the most frequent valvulopathy worldwide, burdened with great mortality and morbidity, and for which there is not yet an effective preventive approach, although the pathophysiological mechanisms involved in its development are better understood nowadays. Its cure, however, has been revolutionized in the last decade by the advent of transcatheter aortic valve implantation, or TAVI (also named transcatheter aortic valve replacement or TAVR). The technique of TAVI has been refined and its indications has been extended, following the publication of large randomized controlled trials where it was compared to surgical aortic valve replacement with favorable results. Consequently, transfemoral TAVR has become the first line of treatment in case of symptomatic severe aortic valve stenosis. In this review, we describe the pathophysiological mechanisms leading to severe aortic stenosis and the main ongoing randomized controlled trials targeting them. We describe the indication for surgical or percutaneous aortic valve replacement and the main complications following the procedure.

Understanding repeat hospitalizations in intermediate-to-high risk aortic stenosis patients following transcatheter aortic valve replacement

OBJECTIVES

We describe the causes, timing and predictors of readmissions and analyze its impact on clinical outcomes in intermediate-to-high-risk patients with severe symptomatic aortic stenosis (AS) who underwent transcatheter aortic valve replacement (TAVR).

BACKGROUND

Intermediate-high risk TAVR patients with severe AS have an increased risk for hospital readmissions due to the high burden of comorbidities.

METHODS

Patients who underwent TAVR from 2012 to 2018 at a single tertiary cardiac center were included and followed for 1 year. Readmissions were categorized as noncardiovascular (non-CV) and CV.

RESULTS

A total of 611 patients (410 with no readmissions, 201 with ≥1 readmissions) were included. There was a total of 317 readmissions (mean: 1.58 ± 1.09 per readmitted patient) with 65 patients having ≥2 readmissions. 64.0% were non-CV and 36.0% were CV. The top three CV causes were pacemaker/implantable cardioverter-defibrillator placement, bleeding, and stroke. About 23% occurred at 1 m, the majority were CV; 45% occurred between 7 and 12 m, the majority were non-CV. Those with ≥1 readmissions had a higher burden of comorbidities including peripheral arterial disease, diabetes, immunosuppression, prior percutaneous coronary interventions, and dialysis. Readmissions were associated with higher 1-year mortality (adjusted hazard ratio: 2.53, 95% confidence interval: 1.40-4.59; p = 0.002). High-risk patients had higher non-CV readmissions (0.37 ± 0.79 vs. 0.25 ± 0.62; p = 0.044) compared to intermediate-risk patients but similar CV readmissions (p = 0.645).

CONCLUSIONS

Understanding readmissions post-TAVR will promote the early identification of at-risk groups and the implementation of preventative measures to improve outcomes and reduce the burden and costs of readmissions.

Influence of polyvascular disease on clinical outcome in patients undergoing transcatheter aortic valve implantation via transfemoral access

BACKGROUND

The influence of polyvascular disease (PVD) on the short- and long-term clinical outcomes of patients undergoing transcatheter aortic valve implantation via trans-femoral access (TF-TAVI) has not been fully elucidated.

METHODS

A total of 2167 patients from the Optimized CathEter vAlvular iNtervention-TAVI (OCEAN-TAVI) registry who underwent TF-TAVI was studied. PVD was defined as the presence of at least two of the following vascular bed (VB) diseases: concomitant coronary artery disease (CAD), cerebrovascular disease (CVD), and peripheral artery disease (PAD).

RESULTS

Patients with PVD (288 patients, 13.3%) had a higher incidence of in-hospital complications, such as AKI (16.3% vs. 7.0%, p<0.01) and disabling stroke (3.5% vs. 1.2%, p<0.01) than patients without PVD. These complications caused higher rates of procedural mortality (4.5% vs. 2.0%, p<0.01). PVD increased the risk of the 2-year rate of cardiovascular death (adjusted hazard ratio [HR], 1.61; 95% confidence interval [CI], 1.04-2.50; p<0.05); however, non-cardiovascular death, myocardial infarction, or ischemic stroke was not associated with PVD. Worsening heart failure (4.6% vs. 1.1%, p<0.01) was the main cause of cardiovascular death among patients with PVD. In a sub-analysis, compared with patients with AS alone, those with 2 VB diseases (CAD+PAD; adjusted HR, 1.93; 95% CI, 1.06-3.53; p<0.05) and 3 VB diseases (CAD+CVD+PAD; adjusted HR, 2.61; 95% CI, 1.21-5.62; p<0.05) had a higher risk of 2-year cardiovascular death.

CONCLUSIONS

The increased prevalence of concomitant atherosclerotic VB diseases before TF-TAVI may increase the rates of in-hospital complications and 2-year cardiovascular death. Given the higher rate of mortality in patients with PVD undergoing TF-TAVI, future studies focusing on medical therapy are needed to reduce long-term cardiovascular events in this high-risk subset.

All-cause readmission after transcatheter aortic valve replacement in a community hospital - Long term follow-up: Readmissions after aortic valve replacement

BACKGROUND

Post-procedure readmissions are associated with lower quality of life and increased economic burden. The study aimed to identify predictors for long-term all-cause readmissions in patients who underwent transcatheter aortic valve replacement (TAVR) in a community hospital.

METHODS

A Historical cohort study of all adults who underwent TAVR at Cape-Cod hospital between June 2015 and December 2017 was performed and data on readmissions was collected up-to May 2020 (median follow up of 3.3 years). Pre-procedure, procedure and in-hospital post-procedure parameters were collected. Readmission rate was evaluated, and univariate and multivariable analyses were applied to identify predictors for readmission.

RESULTS

The study included 262 patients (mean age 83.7±7.9 years, 59.9% males). The median Society of Thoracic Surgeons (STS) probability of mortality (PROM) score was 4.9 (IQR, 3.1-7.9). Overall, 120 patients were readmitted. Ten percent were readmitted within 1-month, 20.8% within 3-months, 32.0% within 6-months and 44.5% within 1-year. New readmissions after 1-year were rare. STS PROM 5% or above (HR 1.50, p=0.039), pre-procedure anemia (HR 1.63, p=0.034), severely decreased pre-procedure renal function (HR 1.93, p=0.040) and procedural complication (HR 1.65, p=0.013) were independent predictors for all-cause readmission.

CONCLUSIONS

Elevated procedural risk, anemia, renal dysfunction and procedural complication are important predictors for readmission. Pre-procedure and ongoing treatment of the patient's background diseases and completion of treatment for complications prior to discharge may contribute to a reduction in the rate of readmissions.

Midterm Outcomes Following Sutureless and Transcatheter Aortic Valve Replacement in Low-Risk Patients With Aortic Stenosis

BACKGROUND

Sutureless-surgical aortic valve replacement (SU-SAVR) has been proposed as a surgical alternative for treating aortic stenosis, which facilitates a minimally invasive approach. While some studies have compared the early outcomes of SU-SAVR versus transcatheter aortic valve replacement (TAVR), most data were obtained in high-risk patients and/or limited to in-hospital outcomes. This study aimed to compare in-hospital and midterm clinical outcomes following SU-SAVR and TAVR in low-risk patients with aortic stenosis.

METHODS

A total of 806 consecutive low-risk (EuroSCORE II <4%) patients underwent TAVR or SU-SAVR between 2011 and 2020 in 2 centers. A 1:1 propensity score matching was performed and identified 171 pairs with similar characteristics that were included in the analysis. Baseline characteristics, in-hospital and follow-up events (defined according to Valve Academic Research Consortium-2) were collected.

RESULTS

Baseline characteristics were well balanced between groups, with a median EuroSCORE II of 1.9% (1.3%-2.5%) in both SU-SAVR and TAVR groups (P=0.85). There were no statistically significant differences regarding in-hospital mortality (SU-SAVR: 4.1%, TAVR: 1.8%, P=0.199) and stroke (SU-SAVR: 2.3%, TAVR: 2.9%, P=0.736), but SU-SAVR recipients exhibited higher rates of bleeding and new-onset atrial fibrillation, higher residual transvalvular gradients (P<0.001), and a lower rate of pacemaker implantation (P=0.011). After a median follow-up of 2 (1-3) years, there were no differences between groups in all-cause mortality (hazard ratio, 0.97 [95% CI, 0.52-1.82], P=0.936) and stroke (hazard ratio, 0.83 [95% CI, 0.32-2.15], P=0.708), but SU-SAVR was associated with a higher risk of heart failure hospitalization (hazard ratio, 5.38 [95% CI, 1.88-15.38], P=0.002).

CONCLUSIONS

In low-risk patients with aortic stenosis, TAVR was associated with improved in-hospital outcomes (except for conduction disturbances) and valve hemodynamics, compared with SU-SAVR. Although similar mortality and stroke rates were observed at 2-year follow-up, the risk of heart failure hospitalization was higher among SU-SAVR patients. These results may contribute to reinforce TAVR over SU-SAVR for the majority of such patients. Graphic Abstract: A graphic abstract is available for this article.

Long term mortality and readmissions after transcatheter aortic valve replacement

Background

Readmissions following transcatheter aortic valve replacement (TAVR) are common but detailed analysis of cardiac and non-cardiac inpatient readmissions beyond thirty days to different levels of care are limited.

Methods

Our study population was 1,037 consecutive patients who underwent TAVR between 2011-2017 within a multi-hospital quaternary health system. A retrospective chart review was performed and readmissions were adjudicated and classified based on primary readmission diagnosis (cardiac versus noncardiac) and level of care [intensive care unit (ICU) admission vs. non-ICU admission]. Incidence, causes, and outcomes of readmissions to up to three years post procedure were evaluated.

Results

Of the 1,017 patients who survived their index hospitalization, there were readmissions due to noncardiac causes in 350 (34.4%) and cardiac causes in 208 (20.5%) during a mean 1.96 years of follow-up. The most common non-cardiac causes of readmission were sepsis/infection (14.3%), gastrointestinal (8.3%), and respiratory (4.8%), whereas heart failure (14.0%) and arrhythmias (4.6%) were the most common cardiac causes of readmission. A total of 191 (18.8%) patients were readmitted to the ICU and 372 patients (36.6%) were non-ICU readmissions. The risk of a noncardiac readmission was highest in the period immediately following TAVR (~4.5% per month) with an early high hazard phase that gradually declined over months. However, the risk of cardiac readmission remained stable at ~1% per month throughout. TAVR patients that were readmitted for any cause had markedly increased mortality; this was especially true for patients readmitted to an ICU.

Conclusions

In TAVR patients who survived their index hospitalization, non-cardiac readmissions were more prevalent than cardiac. The risk of readmission and subsequent mortality was highest immediately post-procedure and declined thereafter. Readmission to ICU portends the highest risk of subsequent death in this cohort. Patient baseline co-morbidities are an important consideration for TAVR patients and play a significant role in readmissions and outcomes.

Real-life outcomes and readmissions after a TAVI procedure in a Glasgow population

Transcatheter aortic valve implantation (TAVI) is a routine procedure for patients with symptomatic severe aortic stenosis who are deemed inoperable or high-risk surgical candidates. The aim of this study was to examine real-world data on death and readmission rates in patients following the procedure. Electronic health records for patients who underwent TAVI between April 2015 and November 2018 were reviewed. Details of the procedure, complications, length of initial hospital stay and outcomes of interest (subsequent admissions and mortality) were recorded. In our cohort of 124 patients, the mean age was 80.8 years and 43% were male. Cardiac comorbidities were common, more than 30% had myocardial infarction (MI) and 15% had a previous coronary artery bypass graft (CABG). One in five suffered from chronic obstructive pulmonary disease (COPD), with similar prevalence of diabetes mellitus and cerebrovascular accident (CVA). In-hospital mortality was low at 3.3%, however, 30-day readmission rates were high at 14.6%; 44.4% were readmitted to hospital within one year. TAVI is a successful procedure in Scotland with good outcome data. The potential benefit of the procedure in many patients is limited by comorbidities, which shorten life-expectancy and lead to hospital readmission. These data highlight the importance of effective multi-disciplinary discussion in a time of realistic medicine.

Heart failure following transcatheter aortic valve replacement

Introduction: Over the past decade, the number of transcatheter aortic valve replacement (TAVR) procedures has increased exponentially. Despite major improvements in both device and successes, the rate of hospital readmission after TAVR remains high, with heart failure (HF) decompensation being one of the most important causes.Areas covered: This review provides an overview of the current status of HF following TAVR, including details about its incidence, clinical impact, contributing factors, and current and future treatment perspectives.Expert opinion: HF decompensation has been identified as the most common cause of rehospitalization following TAVR, and it has been associated with a negative prognosis. Multiple preexisting factors including low flow status, cardiac amyloidosis, myocardial fibrosis, multivalvular disease, pulmonary hypertension, coronary artery disease, and atrial fibrillation have been associated with an increased risk of HF events. Also, multiple post-procedural factors like the occurrence of significant paravalvular leaks, severe prosthesis-patient mismatch, and conduction disturbances have also contributed to increase this risk . Thus, reducing HF events in TAVR recipients would require a multifactorial and multidisciplinary effort including the optimization of the medical treatment and close follow-up and treatment of residual or concomitant valvular disease and conduction disturbance issues. Future studies in this challenging group of patients are warranted.

Outcomes After Transcatheter Aortic Valve Replacement in Patients with Severe Aortic Stenosis and Diastolic Dysfunction

OBJECTIVES

Left ventricular diastolic dysfunction (LVDD) in patients undergoing transcatheter aortic valve replacement (TAVR) is associated with poor outcomes; however, the effect of its severity is controversial. We sought to assess the impact of diastolic dysfunction on hospital outcomes and survival after TAVR and identify prognostic factors.

METHODS

We included patients who underwent TAVR for severe aortic stenosis with preexisting LVDD from 2009 to 2018 (n = 325). Patients with prior mitral valve surgery (n = 4), atrial fibrillation (n = 39), missing or poor baseline diastolic dysfunction assessment (n = 36) were excluded. The primary endpoint was all-cause mortality. 246 patients were included in the study.

RESULTS

The median age was 80 years (25th and 75th percentiles:75-86.7), 154 (62.6%) were males and the median EuroSCORE II was 4.3 (2.2-8). Patients with severe LVDD had significantly higher EuroSCORE, and lower ejection fraction (p < 0.001). There was no difference in post-TAVR new atrial fibrillation (p = 0.912), pacemaker insertion (p = 0.528), stroke (p = 0.76), or hospital mortality (p = 0.95). Patients with severe LVDD had longer hospital stay (p = 0.036). The grade of LVDD did not affect survival (log-rank = 0.145) nor major adverse cardiovascular events (log-rank = 0.97). Predictors of mortality were; low BMI (HR: 0.95 (0.91-0.99); p = 0.019), low sodium (0.93 (0.82-2.5); p = 0.021), previous PCI (HR: 1.6 (1.022-2.66); p = 0.04), E-peak (HR: 1.01 (1.002-1.019); p = 0.014) and implantation of more than one device (HR: 3.55 (1.22-10.31); p = 0.02).

CONCLUSION

Transcatheter aortic valve replacement is feasible in patients with diastolic dysfunction, and the degree of diastolic dysfunction did not negatively affect the outcome. Long-term outcomes in those patients were affected by the preoperative clinical state and procedure-related factors.

Transcatheter aortic valve implantation-related futility: prevalence, predictors, and clinical risk model

Futility denotes failure to achieve the projected outcome. We investigated the prevalence, predictors, and clinical risk model of transcatheter aortic valve implantation (TAVI)-related futility. We included 464 consecutive patients undergoing TAVI from 2010 to 2017. Futility was defined as death and/or hospitalization for heart failure (HFH) within 1 year after TAVI. Of 464 patients (mean age: 84.4 years), 69% were females (EuroSCOREII: 6.3%; Society of Thoracic Surgeons [STS] score: 6.9%). Forty-six patients (9.9%) experienced TAVI-related futility, and 36 of 46 patients (69.6%) died within 1 year due to cardiac (37.5%) and non-cardiac (62.5%) causes. Previous HFH (hazard ratio [HR], 2.20; 95% confidence interval [CI]: 1.13-4.35, p = 0.020), chronic obstructive pulmonary disease (COPD) (HR, 3.39; 95% CI: 1.12-8.42, p = 0.033), and moderate/severe mitral or tricuspid regurgitation (HR, 2.98; 95% CI: 1.32-6.27, p = 0.010) were independent predictors of futility. With 1 point assigned to each predictor (total 0 point, futility low-risk; total 1 point, futility intermediate-risk; total 2-3 points, futility high-risk), the futility risk model clearly stratified individual futility risk into three groups (the freedom from futility at 1 year: 96.2%, 82.1%, and 67.9% each). Our futility risk model presented better discrimination than EuroSCOREII, and STS score (c-statistic: 0.73 vs. 0.68 vs. 0.67). Medical futility was recognized in 9.9% of patients undergoing TAVI. Previous HFH, COPD, and concomitant atrioventricular regurgitation were associated with futility. The risk model derived from three predictors showed good performance in predicting futility risk.

Rates and Predictors of Patient Underreporting of Hospitalizations During Follow-Up After Acute Myocardial Infarction: An Assessment From the TRIUMPH Study

BACKGROUND

Many clinical investigations depend on participant self-report as a principal method of identifying health care events. If self-report is used as the trigger to collect and adjudicate medical records, any event that is not reported by the patient will be missed by the investigators, reducing the power of the study and misrepresenting the risk of its participants. We sought to determine the rates and predictors of underreporting hospitalization events during the follow-up period of a prospective study of patients hospitalized with an acute myocardial infarction.

METHODS AND RESULTS

The TRIUMPH (Translational Research Investigating Underlying Disparities in Acute Myocardial Infarction Patients' Health Status) registry, a longitudinal multicenter cohort study of people with acute myocardial infarction in the United States, queried patients for hospitalization events during interviews at 1, 6, and 12 months. To validate these self-reports, medical records for all events at every hospital where the patient reported receiving care were acquired for adjudication, not just those for the reported events. Of the 4340 participants in TRIUMPH, 1209 (28%) reported at least one hospitalization. After medical records abstraction and adjudication, we identified 1086 hospitalizations from 639 participants (60.2±12 years of age, 38.2% women). Of these hospitalizations, 346 (31.9%) were underreported by the participants. Rates of underreporting ranged from 22.5% to 55.6% based on different patient characteristics. The odds of underreporting were highest for those not currently working (adjusted odds ratio, 1.66 [95% CI, 1.04-2.63]), lowest for those married (adjusted odds ratio, 0.50 [95% CI, 0.33-0.76]), and increased the longer the elapsed time between the admission and the patient's follow-up interview (adjusted odds ratio per month, 1.16 [95% CI, 1.08-1.24]). There was a substantial within-individual variation on the accuracy of reporting.

CONCLUSIONS

Hospitalizations after acute myocardial infarction are commonly underreported in interviews and should not be used alone to determine event rates in clinical studies.

Determinants and Impact of Heart Failure Readmission Following Transcatheter Aortic Valve Replacement

Background:

Heart failure (HF) readmission is common post–transcatheter aortic valve replacement (TAVR). Nonetheless, limited data are available regarding its predictors and clinical impact. This study evaluated the incidence, predictors, and impact of HF readmission within 1-year post-TAVR, and assessed the effects of the prescription of HF therapies at discharge on the risk of HF readmission and death.

Methods:

Patients included in the TAVR registry of a single expert center from 2009 to 2017 were analyzed. Competing-risk and Cox regressions were performed to identify predictors of HF readmission and death.

Results:

Among 750 patients, 102 (13.6%) were readmitted for HF within 1-year post-TAVR. Overall, 53 patients (7.1%) experienced late readmissions (>30 days post-TAVR), and 17 (2.3%) had multiple readmissions. In ≈30% of readmissions, no trigger could be identified. Predominant causes of readmissions were changes in medication/nonadherence and supraventricular arrhythmia. Independent predictors of HF readmission included diabetes mellitus, chronic lung disease, previous acute HF, grade III or IV aortic regurgitation, and pulmonary hypertension both at discharge from the index hospitalization but not HF therapies. Overall, HF readmission did not significantly impact all-cause mortality (hazard ratio [HR], 1.36 [95% CI, 0.99–1.85]). However, late (HR, 1.90 [95% CI, 1.30–2.78]) and multiple HF readmissions (HR, 2.10 [95% CI,1.17–3.76]) were significantly associated with all-cause mortality. Prescription of renin-angiotensin system inhibitors at discharge was associated with a lower rate of all-cause mortality, especially among patients receiving doses of 25% to <50% (HR, 0.67 [95% CI, 0.48–0.94]) and 75% to 100% (HR, 0.61 [95% CI, 0.37–0.98]) of the optimal daily dose.

Conclusions:

HF readmission is common within 1-year of TAVR. Late and multiple HF readmissions associate with an increased risk of long-term all-cause mortality. Baseline comorbidities (diabetes, chronic lung disease, previous acute HF) and echocardiographic findings at discharge (grade III or IV aortic regurgitation, pulmonary hypertension) identified patients at high risk of HF readmission.

Clinical outcomes of transcatheter aortic valve implantation (TAVI) in nonagenarians from the optimized catheter valvular intervention-TAVI registry

OBJECTIVES

The purpose of this study was to investigate 30-day and 2-year clinical outcomes, and predictors of 2-year mortality in nonagenarians undergoing transcatheter aortic valve implantation (TAVI).

BACKGROUND

TAVI has been applied to nonagenarians. However, sufficient clinical data in nonagenarians who could benefit from TAVI are limited.

METHODS

We evaluated the data from the optimized catheter valvular intervention-TAVI registry. Clinical outcomes were compared between patients' age ≥90 years and age <90 years. Predictive factors of 2-year mortality were assessed by multivariable Cox regression analyses.

RESULTS

From October 2013 to May 2017, a total of 375 nonagenarians (age ≥90 years) and 2,213 younger patients (age <90 years) were included. Although nonagenarians had a higher surgical risk score, 30-day clinical outcomes were similar between two groups. There were no significant differences in 2-year mortality (22.0% vs. 17.3%; p = .11) and stroke (5.5% vs. 3.9%; p = .31); however, 2-year heart failure readmission was higher in nonagenarians (13.3% vs. 9.0%; p = .03). After adjusting covariates, age ≥90 years was not independent predictor for 2-year outcomes. In nonagenarians, female sex (hazard ratio [HR] = 0.43; 95% confidence interval [CI] = 0.26-0.74; p = .002), chronic kidney disease grade ≥4 (HR = 2.14; 95% CI = 1.21-3.64; p = .01), and Clinical Frailty Scale ≥4 (HR = 1.82; 95% CI = 1.02-3.42; p = .04) were independently associated with 2-year mortality.

CONCLUSIONS

Clinical outcomes of TAVI in selected nonagenarians were favorable. Severe renal dysfunction and frailty may be important factors to predict mid-term mortality after TAVI in nonagenarians.

Sex differences in rates and causes of 30-day readmissions after cardiac electronic device implantations: insights from the Nationwide Readmissions Database

BACKGROUND

Women undergoing cardiac implantable electronic device (CIED) implantation are at a higher risk of procedure-related complications. The present study examined sex differences in rates and causes of 30-day readmissions following CIED implantation.

METHODS

Using the United States Nationwide Readmissions Database (NRD), all adults who had undergone CIED implantation (cardiac resynchronization therapy (CRT), permanent pacemakers (PPM) and implantable cardioverter defibrillators (ICD)) between January 2010 and September 2015 were included. We compared rates, trends and causes of 30-day readmissions between sexes, and examined associations between sex and outcomes (adjusted odds ratios (aOR) and 95% confidence intervals (CI)).

RESULTS

Out of 1,155,992 index hospitalizations for CIED implantation, 43.1% of the patients were women. All-cause 30-day readmissions were persistently higher in women than men but declined in both sexes over the study period, more so in women (women vs. men; 2010: 15.0% vs. 14.1%; 2015: 13.7% vs.13.4%). Women were at higher odds of readmission due to cardiac (aOR 1.22, 95%CI 1.20-1.24) and device-related complications (aOR 1.18, 95%CI 1.15-1.20) compared to men, but no difference odds of all-cause readmission were found between sexes (women: aOR 0.998, 95%CI 0.997-1.008). The most common cardiac and non-cardiac causes of readmission were heart failure and infection, respectively, and these were similar in both sexes (men vs. women: 17.8% vs. 17.6% and 10.7% vs. 10.8%, respectively).

CONCLUSION

Women are persistently at higher risk of readmission due to cardiac causes and device-related complications compared to men over a six-year period, but no difference in all-cause readmissions was found between sexes.

Causes and predictors of readmission after transcatheter aortic valve implantation : A meta-analysis and systematic review

BACKGROUND

Since readmission rate is an important clinical index to determine the quality of inpatient care and hospital performance, the aim of this study was to explain the causes and predictors of readmission following transcatheter aortic valve implantation (TAVI) at short-term and mid-term follow-up.

METHODS AND RESULTS

A systematic review and meta-analysis of all published articles from Embase, Pubmed/MEDLINE, and Ovid was carried out. In all, 10 studies including 52,702 patients were identified. The pooled estimate for the overall event rate was 0.15, and cardiovascular causes were the main reason for 30-day readmission (0.42, 95% confidence interval [CI]: 0.39-0.45). In addition, the pooled incidence of 1‑year readmission was 0.31, and cardiovascular events were still the main cause (0.41, 95% CI: 0.33-0.48). Patients with major and life-threatening bleeding, new permanent pacemaker implantation, and clinical heart failure were associated with a high risk for early readmission after TAVI. Moreover, an advanced (≥3) New York Heart Association classification, acute kidney injury, paravalvular leak, mitral regurgitation (≥ moderate), and major bleeding predicted unfavorable outcome to 1‑year readmission. Female gender and transfemoral TAVI was associated with a lower risk for unplanned rehospitalization.

CONCLUSIONS

This meta-analysis found cardiovascular factors to be the main causes for both 30-day and 1‑year rehospitalization. Heart failure represented the most common cardiovascular event at both short-term and mid-term follow-up. Several baseline characteristics and procedure-related factors were deemed unfavorable predictors of readmission. Importantly, transfemoral access and female gender were associated with a lower risk of readmission.

Sex differences in 30-day readmission rates, etiology, and predictors after transcatheter aortic valve replacement

BACKGROUND

The aim of this study is to analyze sex-specific readmission rates, etiology, and predictors of readmission after transcatheter aortic valve replacement (TAVR). Readmissions after TAVR are common, contributing to increased health care utilization and costs. Many factors have been discovered as predictors of readmission; however, sex-specific disparities in readmission rates are limited.

METHODS

Between January 2012 and September 2015, adult patients after TAVR were identified using appropriate international classifications of diseases, ninth revision, clinical modification from the National Readmission Database. Incidence of unplanned 30-days readmission rate was the primary outcome of this study. In addition, this study includes sex-specific etiology and predictors of readmissions. Multivariate logistic regression was performed to analyze adjusted readmission rates. Hierarchical 2-level logistic models were used to evaluate predictors of readmission.

RESULTS

Readmission rate at 30 days was 17.3%, with slightly higher readmission rates in women (OR 1.09; CI: 1.01-1.19, p < 0.001) after multivariate adjusted analysis. Noncardiac causes were responsible for most readmissions in both genders. Etiologies for readmissions such as arrhythmias, pulmonary complications, and infections were slightly higher in women, whereas heart failure and bleeding complications were higher in men. History of heart failure, atrial fibrillation, prior pacemaker, and renal failure significantly strongly predicted readmissions in both genders.

CONCLUSION

Women undergoing TAVR have slightly higher 30-day all-cause readmission rates. These results indicate that women require more attention compared to men to prevent 30-day readmission. In addition, risk stratification for men and women based on predictors will help identify high-risk men and women for readmissions.

Life beyond 5 Years after TAVI: Patients' Perceived Health Status and Long-Term Outcome after Transcatheter Aortic Valve Implantation

Background

Transcatheter aortic valve implantation (TAVI) is currently recommended for patients with severe aortic stenosis at intermediate or high surgical risk. The decision process during TAVI evaluation includes a thorough benefit-risk assessment, and knowledge about long-term benefits and outcomes may improve patients' expectation management.

Objective

To evaluate patients' perceived health status and self-reported long-term outcome more than 5 years after TAVI.

Methods and Results

Demographic and procedure data were obtained from all patients treated with TAVI at our institution from 2006 to 2012. A cross-sectional survey was conducted on the patients alive, measuring health status, including the EQ-5D-5L questionnaire, and clinical outcomes. 103 patients (22.8%) were alive at a median follow-up period of 7 years (5.4–9.8). 99 (96%) of the 103 patients were included in the final analysis. The mean age at follow-up was 86.5 years ± 8.0 years, and 56.6% were female. Almost all patients (93.9%) described an improvement of their quality of life after receiving TAVI. At late follow-up, the mean utility index and EQ-VAS score were 0.80 ± 0.20 and 58.49 ± 11.49, respectively. Mobility was found to be the most frequently reported limitation (85.4%), while anxiety/depression was the least frequently reported limitation (19.8%). With respect to functional class, 64.7% were in New York Heart Association (NYHA) class III or IV, compared to 67.0% prior to TAVI (p=0.51). Self-reported long-term outcomes revealed mainly low long-term complication rates. 74 total hospitalizations were reported after TAVI, and among those 43% for cardiovascular reasons. Within cardiovascular rehospitalizations, new pacemaker implantations were the most frequently reported (18.9%), followed by cardiac decompensation and coronary heart disease (15.6%).

Conclusion

The majority of the patients described an improvement of health status after TAVI. More than five years after TAVI, the patients' perceived health status was satisfactory, and the incidence of clinical events and hospitalizations was very low.

Incidence, 30-day readmission rates and predictors of readmission after new onset atrial fibrillation who underwent transcatheter aortic valve replacement

INTRODUCTION

New onset Atrial Fibrillation (NOAF) is frequently seen post transcatheter aortic valve replacement (TAVR). NOAF in the setting of TAVR has also been recognized as predictor of worse outcomes, including higher readmission rates. Data assessing the effect and predictors of NOAF on 30-day readmission rates post TAVR is limited.

OBJECTIVE

To assess the incidence, 30-day readmission rate and predictors of NOAF in patients who underwent TAVR.

METHODS

Nationwide Readmissions Database was used to identify patients who developed NOAF post-TAVR between 2012 and 2015.

RESULTS

A total of 24,076 patients were included in this study, of which 54% were males, and the mean age was 82.4 ± 7.2. NOAF was developed in 10,847 (45%) patients. Overall readmission rates with NOAF was 19.7% and trend in the readmissions reduced during the course of the study (21.9% to 18.7%, P_trend < 0.001). Thirty-day readmission rate in patients who developed NOAF post-TAVR was significantly higher compared to TAVR patients without NOAF (OR 1.39; 95% CI, 1.28-1.51; p < 0.001). Similarly, rate of ischemic stroke was significantly higher among patients who developed NOAF (OR 1.22; 95% CI, 1.07-1.4; p = 0.004). Predictors of readmissions in NOAF group were mostly non-cardiac, and included age, and comorbidities with chronic liver disease, renal failure and chronic lung disease been the most common comorbidities, in that order.

CONCLUSIONS

Incidence of NOAF is associated with increased risk of readmissions and ischemic stroke. Future research should focus on interventions to prevent avoidable readmissions and associated morbidity and mortality.

Identifying patients likely to be readmitted after transcatheter aortic valve replacement

Hospital readmission following transcatheter aortic valve replacement (TAVR) contributes considerably to the costs of care. Readmission rates following TAVR have been reported to be as high as 17.4% at 30 days and 53.2% at 1 year. Patient and procedural factors predict an increased likelihood of readmission including non-transfemoral access, acute and chronic kidney impairment, chronic lung disease, left ventricular systolic dysfunction, atrial fibrillation, major bleeding and prolonged index hospitalisation. Recent studies have also found the requirement for new pacemaker implantation and the severity of paravalvular aortic regurgitation and tricuspid regurgitation to be novel predictors of readmission. Post-TAVR readmission within 30 days of discharge is more likely to occur for non-cardiac than cardiac pathology, although readmission for cardiac causes, especially heart failure, predicts higher mortality than readmission for non-cardiac causes. To combat the risk of readmission and associated mortality, the routine practice of calculating and considering readmission risk should be adopted by the heart team. Furthermore, because most readmissions following TAVR occur for non-cardiac reasons, more holistic approaches to readmission prevention are necessary. Familiarity with the most common predictors and causes of readmission should guide the development of initiatives to address these conditions proactively.

Predictors and outcomes of heart failure after transcatheter aortic valve implantation using a self-expanding prosthesis

INTRODUCTION AND OBJECTIVES

The purpose of this analysis was to assess the incidence, predictors and prognostic impact of acute heart failure (AHF) after transcatheter aortic valve implantation (TAVI) using a self-expanding prosthesis.

METHODS

From November 2008 to June 2017, all consecutive patients undergoing TAVI in our center were prospectively included in our TAVI registry. The predictive effect of AHF on all-cause mortality following the TAVI procedure was analyzed using Cox regression models.

RESULTS

A total of 399 patients underwent TAVI with a mean age of 82.4 ± 5.8 years, of which 213 (53.4%) were women. During follow-up (27.0 ± 24.1 months), 29.8% (n = 119) were admitted due to AHF, which represents a cumulative incidence function of 13.2% (95%CI, 11.1%-15.8%). At the end of follow-up, 150 patients (37.59%) had died. Those who developed AHF showed a significantly higher mortality rate (52.1% vs 31.4%; HR, 1.84; 95%; CI, 1.14-2.97; P = .012). Independent predictors of AHF after TAVI were a past history of heart failure (P = .019) and high Society of Thoracic Surgeons score (P = .004). We found that nutritional risk index and chronic obstructive pulmonary disease were strongly correlated with outcomes in the AHF group.

CONCLUSIONS

TAVI was associated with a high incidence of clinical AHF. Those who developed AHF had higher mortality. Pre-TAVI AHF and high Society of Thoracic Surgeons score were the only independent predictors of AHF in our cohort. A low nutritional risk index and chronic obstructive pulmonary disease were independent markers of mortality in the AHF group.

Derivation and external validation of a simple risk tool to predict 30-day hospital readmissions after transcatheter aortic valve replacement

AIMS

Patients undergoing transcatheter aortic valve replacement (TAVR) possess a higher risk of recurrent healthcare resource utilisation due to multiple comorbidities, frailty, and advanced age. We sought to devise a simple tool to identify TAVR patients at increased risk of 30-day readmission.

METHODS AND RESULTS

We used the Nationwide Readmissions Database from January 2013 to September 2015. Complex survey methods and hierarchical regression in R were implemented to create a prediction tool to determine probability of 30-day readmission. Boot-strapped internal validation and cross-validation were performed to assess model accuracy. External validation was performed using a single-centre data set. Of 39,305 patients who underwent endovascular TAVR, 6,380 (16.2%) were readmitted within 30 days. The final 30-day readmission risk prediction tool included the following variables: chronic kidney disease, end-stage renal disease on dialysis (ESRD), anaemia, chronic lung disease, chronic liver disease, atrial fibrillation, length of stay, acute kidney injury, and discharge disposition. ESRD (OR 2.11, 95% CI: 1.7-2.63), length of stay ≥5 days (OR 1.64, 95% CI: 1.50-1.79), and short-term hospital discharge disposition (OR 1.81, 95% CI: 1.2-2.7) were the strongest predictors. The c-statistic of the prediction model was 0.63. The c-statistic in the external validation cohort was 0.69. On internal calibration, the tool was extremely accurate in predicting readmissions up to 25%.

CONCLUSIONS

A simple and easy-to-use risk prediction tool utilising standard clinical parameters identifies TAVR patients at increased risk of 30-day readmission. The tool may consequently inform hospital discharge planning, optimise transitions of care, and reduce resource utilisation.

Left Ventricular Diastolic Dysfunction and Transcatheter Aortic Valve Replacement Outcomes: A Review

Aortic stenosis (AS) is the most common valvular disease that can lead to increased afterload, left ventricular (LV) remodeling, and myocardial fibrosis. We reviewed the literature addressing the impact of transcatheter aortic valve replacement (TAVR) on LV remodeling and patients' outcomes by elimination of AS-related high afterload. TAVR reduces afterload and improves LV remodeling recovery. However, myocardial fibrosis may not completely reverse after the TAVR. The LV diastolic dysfunction (LVDD) induced by AS is an independent predictor of post-TAVR mortality, and mortality increases with severity of LVDD. The impact of diastolic dysfunction on patient outcomes emerges at 30 days but continues to persist during mid-term follow-up. Based on severity of the baseline LVDD, some patients may tolerate post-TAVR aortic regurgitation (AR), but even minimal post-TAVR AR in patients with severe baseline LVDD can have an additive negative impact on survival. It is crucial to consider TAVR prior to development of advanced LVDD. Appropriate device selection and deployment technique are important in improvement of TAVR outcomes via elimination of AR.

The Relationship Between Heart-Failure Hospitalization and Mortality in Patients Receiving Transcatheter Aortic Valve Replacement

BACKGROUND

Patients who have had transcatheter aortic valve replacement (TAVR) are at risk of hospitalization during the first year postprocedure. Few studies have examined the incidence of heart- failure hospitalizations (HFH) post-TAVR and the impact this has on subsequent hospitalizations and mortality. Our aim was to determine the incidence, predictors, and mortality associated with HFH post-TAVR.

METHODS

We used prospectively collected data for all patients who underwent TAVR between August 1, 2010, and March 31, 2015; 742 consecutive patients who underwent TAVR during the study period were included. Patients were followed for a minimum of 1 year post-TAVR.

RESULTS

Mean age was 80.9 ± 8.1, and 58.2% were men. Hospitalizations post-TAVR occurred in 20% of patients at 30 days and 59.7% at 1 year. Of patients hospitalized, HFH was the primary cause of hospitalization in 25.8% and 21.4% of patients at 30 days and 1 year post-TAVR, respectively. Patients with HFH at either 30 days or 1 year had higher subsequent rates of rehospitalization compared with patients who had non-HFH. Patients with HFH or non-HFH at 30 days had 1-year mortality rates of 23.1% and 21.4%, respectively, whereas those with HFH by 1 year had a higher 1-year rate of mortality compared with patients who had non-HFHs (25% vs 10.9%, P < 0.001).

CONCLUSIONS

HF accounts for a quarter of all hospitalizations post-TAVR and is associated with higher rates of subsequent rehospitalization and death compared with those who had non-HFH. Understanding predictors of readmissions post-TAVR will allow for better risk stratification and improve outcomes in patients receiving TAVR.

Temporal trends in adoption and outcomes of transcatheter aortic valve implantation: a SwissTAVI Registry analysis

Aims

To describe temporal trends in adoption and performance of transcatheter aortic valve implantation (TAVI) in Switzerland over a period of 5 years.

Methods and results

Between 2011 and 2015, a total of 3493 patients were consecutively included in the SwissTAVI Registry (NCT01368250) and analysed for the purpose of this study. The primary outcome measure was all-cause mortality at 1 year after TAVI. Over the 5-year period, a six-fold increase in the number of procedures was observed, whereas the baseline surgical risk estimated by the Society of Thoracic Surgeon (STS) score declined (from 6.8 ± 4.4% to 4.6 ± 3.6, P < 0.001). Overall, 1-year mortality amounted to 12.8%; mortality was highest in the first annual cohorts (14.6%, 14.8%, and 15.9% in 2011, 2012, and 2013, respectively) and decreased to 13.4% in 2014 and 9.7% in 2015. While rates of cerebrovascular events, peri-procedural myocardial infarction, moderate/severe paravalvular regurgitation, and Stage 3 acute kidney injury did not significantly change over time, a significant reduction in life threatening or major bleeding was noted at 30-day follow-up during the latest compared with earlier years of recruitment.

Conclusion

This long-term recruitment analysis of a national TAVI registry showed rapid adoption paralleled by a progressive decrease of patients’ baseline risk profile. Early and late survival significantly improved over time as did the rate of life threatening or major bleeding.

Antiplatelet therapy in valvular and structural heart disease interventions

Transcatheter interventions for valvular and structural heart diseases are rapidly expanding due to greater operators' experience and development of new generation devices associated with increased procedural safety. They represent the standard strategy for patients with prohibitive risk for open surgery. These procedures are associated with a significant occurrence of both thrombotic and bleeding complications, thus in this setting, even more than in other percutaneous procedures, the balance between thrombotic and bleeding risk is critical. This review describes the current data available on the antithrombotic management of patients undergoing transcatheter aortic valve implantation (TAVI), percutaneous mitral valve repair with the MitraClip system, percutaneous left atrial appendage occlusion and percutaneous patent foramen ovale (PFO)/atrial septal defects (ASD) closure.

Nutrition and mobility predict all-cause mortality in patients 12 months after transcatheter aortic valve implantation

Background

The aim of the study was to determine pre-interventional predictors for all-cause mortality in patients after transcatheter aortic valve implantation (TAVI) with a 12-month follow-up.

Methods

From 10/2013 to 07/2015, 344 patients (80.9 ± 5.0 years, 44.5% male) with an elective TAVI were consecutively enrolled prospectively in a multicentre cohort study. Prior to the intervention, sociodemographic parameters, echocardiographic data and comorbidities were documented. All patients performed a 6-min walk test, Short Form 12 and a Frailty Index (score consisting of activities of daily living, cognition, nutrition and mobility). Peri-interventional complications were documented. Vital status was assessed over telephone 12 months after TAVI. Predictors for all-cause mortality were identified using a multivariate regression model.

Results

At discharge, 333 patients were alive (in-hospital mortality 3.2%; n = 11). During a follow-up of 381.0 ± 41.9 days, 46 patients (13.8%) died. The non-survivors were older (82.3 ± 5.0 vs. 80.6 ± 5.1 years; p = 0.035), had a higher number of comorbidities (2.6 ± 1.3 vs. 2.1 ± 1.3; p = 0.026) and a lower left ventricular ejection fraction (51.0 ± 13.6 vs. 54.6 ± 10.6%; p = 0.048). Additionally, more suffered from diabetes mellitus (60.9 vs. 44.6%; p = 0.040). While the global Frailty Index had no predictive power, its individual components, particularly nutrition (OR 0.83 per 1 pt., CI 0.72–0.95; p = 0.006) and mobility (OR 5.12, CI 1.64–16.01; p = 0.005) had a prognostic impact. Likewise, diabetes mellitus (OR 2.18, CI 1.10–4.32; p = 0.026) and EuroSCORE (OR 1.21 per 5%, CI 1.07–1.36; p = 0.002) were associated with a higher risk of all-cause mortality.

Conclusions

Besides EuroSCORE and diabetes mellitus, nutrition status and mobility of patients scheduled for TAVI offer prognostic information for 1-year all-cause mortality and should be advocated in the creation of contemporary TAVI risk scores.

Feasibility and safety of early discharge after transfemoral transcatheter aortic valve implantation - rationale and design of the FAST-TAVI registry

BACKGROUND

There is an increasing trend towards shorter hospital stays after transcatheter aortic valve implantation (TAVI), in particular for patients undergoing the procedure via transfemoral (TF) access. Preliminary data suggest that there exists a population of patients that can be discharged safely very early after TF-TAVI. However, current evidence is limited to few retrospective studies, encompassing relatively small sample sizes.

METHODS

The Feasibility And Safety of early discharge after Transfemoral TAVI (FAST-TAVI) registry is a prospective observational registry that will be conducted at 10 sites across Italy, the Netherlands and the UK. Patients will be included if they have been scheduled to undergo TF-TAVI with the balloon-expandable SAPIEN 3 transcatheter heart valve (THV; Edwards Lifesciences, Irvine, CA). The primary endpoint is a composite of all-cause mortality, vascular-access-related complications, permanent pacemaker implantation, stroke, re-hospitalisation due to cardiac reasons, kidney failure and major bleeding, occurring during the first 30 days after hospital discharge. Patients will be stratified according to whether they were high or low risk for early discharge (≤3 days) (following pre-specified criteria), and according to whether or not they were discharged early. Secondary endpoints will include time-to-event (Kaplan-Meier) analysis for the primary outcome and its individual components, analysis of the relative costs of early and late discharge, and changes in short- and long-term quality of life. Multivariate logistic regression will be used to identify factors that indicate that a patient may be suitable for early discharge.

DISCUSSION

The data gathered in the FAST-TAVI registry should help to clarify the safety of early discharge after TF-TAVI and to identify patient and procedural characteristics that make early discharge from hospital a safe and cost-effective strategy.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT02404467 (registration first received March 23rd 2015).