Hospital readmission following transcatheter aortic valve implantation in the real world

Burden of hospitalization during the first year following transcatheter and surgical aortic valve replacement

BACKGROUND

Hospitalizations are a major burden for both patients and society but are potentially preventable. We examined the one-year hospitalization burden in patients undergoing transcatheter aortic valve replacement (TAVR) and compared hospitalization rates and patterns with those undergoing isolated surgical aortic valve replacement (SAVR).

METHODS

Using Danish nationwide registries, we identified patients who underwent first-time TAVR and isolated SAVR (2008-2019), respectively. Subsequent hospitalizations were classified as cardiovascular or noncardiovascular according to discharge diagnosis codes.

RESULTS

Patients undergoing TAVR (N = 4,921) were older and had more comorbidities than those undergoing SAVR (N = 5,220). There were 5,725 and 4,426 hospitalizations within the first year after discharge in the TAVR and SAVR group, respectively. During the one-year follow-up period post-TAVR, 46.6% were not admitted, 25.4% were admitted once, 12.6% twice, and 15.4% 3 times or more. The corresponding proportions in patients undergoing SAVR were 55.3%, 25.1%, 10.0%, and 9.5%, respectively. Among patients with ≥1 hospitalization following TAVR, 50.3% had a total length of all hospital stays between 1 and 7days, 19.0% 8-14days, 18.0% 15-30days, 9.9% 31-60days, and 2.8% ≥61days. The corresponding proportions for patients undergoing SAVR were 58.6%, 17.2%, 13.1%, 7.4%, and 3.7%, respectively. Compared with patients undergoing SAVR, those undergoing TAVR had a lower early (day0-30: HR 0.89 [95% CI, 0.80-0.98]), but a higher late hospitalization rate (day 31-365: 1.46 [1.32-1.60]).

CONCLUSIONS

The 1-year hospitalization burden following TAVR is substantial. Compared with patients undergoing isolated SAVR, those undergoing TAVR had a lower early, but a higher late hospitalization rate - a difference that likely reflects unmeasured differences in the patient cohorts.

Prognostic impact of elevated erythropoietin levels in patients with severe aortic stenosis receiving trans-catheter aortic valve implantation

BACKGROUND

Elevated endogenous erythropoietin (EPO) levels are associated with worse clinical outcomes in patients with heart failure (HF). The clinical implication of endogenous EPO levels in patients undergoing trans-catheter aortic valve implantation (TAVI) beyond other conventional risk factors remains unknown.

METHODS

Consecutive patients with EPO measurements who underwent TAVI for the treatment of their severe aortic stenosis at our institute between May 2015 and December 2020 were included. The association between the endogenous EPO levels and the primary outcome consisting of all-cause mortality and HF hospitalization was evaluated.

RESULTS

A total of 263 patients (85.1 ± 5.1 years old, 74 men) were included and tertiled according to the baseline EPO levels. The high EPO group had more advanced anemia, renal impairment, and hypoalbuminemia than the other two tertiled groups (p < 0.05 for both). Patients with high EPO had a significantly higher cumulative incidence of the primary outcomes compared to the other two groups (p = 0.002) with an adjusted hazard ratio of 6.0 (95 % confidence interval 1.9-18.1) in its logarithmic value (p < 0.001).

CONCLUSIONS

Elevated baseline EPO levels were independently associated with mortality and morbidity following TAVI. The clinical implication of aggressive intervention on the elevated EPO levels in this cohort remains the next concern.

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.

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.

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.

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.

Predictors and Prognostic Impact of Nutritional Changes After Transcatheter Aortic Valve Replacement

BACKGROUND

Little is known about changes in nutritional status as an index of frailty on clinical outcomes after transcatheter aortic valve replacement (TAVR). This study aimed to assess the clinical impact of serum albumin changes after TAVR.

METHODS

Changes in serum albumin levels from baseline to 1 year after TAVR were evaluated in 1524 patients who were classified as having hypoalbuminemia (<3.5 g/dl) and normoalbuminemia (≥3.5 g/dl) at each timepoint. The patients were categorized into 4 groups: NN (baseline normoalbuminemia, 1-year normoalbuminemia: n = 1119), HN (baseline hypoalbuminemia, 1-year normoalbuminemia: n = 202), NH (baseline normoalbuminemia, 1-year hypoalbuminemia: n = 121), and HH (baseline hypoalbuminemia, 1-year hypoalbuminemia: n = 82). We also defined late hypoalbuminemia as hypoalbuminemia identified at the 1-year assessment. Clinical outcomes were compared among 4 groups. Multivariable analysis was driven to assess the variables associated with late hypoalbuminemia and long-term mortality.

RESULTS

The cumulative 3-year mortality was significantly different among the 4 groups (NN: 11.4%, HN: 10.7%, NH: 25.4%, HH: 44.4%, p < 0.001). Multivariable Cox regression analysis revealed that the NH group had a higher mortality risk (hazard ratio [HR]; 2.80 and 3.53, 95% confidence interval [CI]; 1.71-4.57 and 2.06-6.06, p < 0.001 and p < 0.001, respectively), whereas the HN group had a similar risk (HR; 1.16, 95% CI; 0.66-2.06, p = 0.61) compared with the NN group. Baseline hypoalbuminemia, low body mass index, liver disease, peripheral artery disease, and hospital readmission within 1 year were predictors of late hypoalbuminemia (all p < 0.05).

CONCLUSION

Serial albumin assessment may identify poor prognostic subsets in patients with persistent and late acquired malnutrition after TAVR.

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.

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.

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.

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.