Thirty-day readmissions in surgical and transcatheter aortic valve replacement: A systematic review and meta-analysis

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.

Long-term effects of cardiac rehabilitation after heart valve surgery - results from the randomised CopenHeartVR trial

Aims. The CopenHeart_VR trial found positive effects of cardiac rehabilitation (CR) on physical capacity at 4 months. The long-term effects of CR following valve surgery remains unclear, especially regarding readmission and mortality. Using data from he CopenHeart_VR Trial we investigated long-term effects on physical capacity, mental and physical health and effect on mortality and readmission rates as prespecified in the original protocol. Methods. A total of 147 participants were included after heart valve surgery and randomly allocated 1:1 to 12-weeks exercise-based CR including a psycho-educational programme (intervention group) or control. Physical capacity was assessed as peak oxygen uptake (VO₂ peak) measured by cardiopulmonary exercise testing, mental and physical health by Short Form-36 questionnaire, Hospital Anxiety and Depression Scale, and HeartQol. Mortality and readmission were obtained from hospital records and registers. Groups were compared using mixed regression model analysis and log rank test. Results. No differences in VO₂ peak at 12 months or in self-assessed mental and physical health at 24 months (68% vs 75%, p = .120) was found. However, our data demonstrated reduction in readmissions in the intervention group at intermediate time points; after 3, 6 (43% vs 59%, p = .03), and 12 (53% vs 67%, p = .04) months, respectively, but no significant effect at 24 months. Conclusions. Exercise-based CR after heart valve surgery reduces combined readmissions and mortality up to 12 months despite lack of improvement in exercise capacity, physical and mental health long-term. Exercise-based CR can ensure short-term benefits in terms of physical capacity, and lower readmission within a year, but more research is needed to sustain these effects over a longer time period. These considerations should be included in the management of patients after heart valve surgery.

Trunk stabilising exercises promote sternal stability in patients after median sternotomy for heart valve surgery: a randomised trial

QUESTION

What is the effect of trunk stabilising exercises on sternal stability in women who have undergone heart valve surgery via median sternotomy?

DESIGN

Randomised controlled trial with concealed allocation, assessor blinding and intention-to-treat analysis.

PARTICIPANTS

Thirty-six women aged 40 to 50 years who had undergone heart valve surgery via median sternotomy 7 days before enrolment.

INTERVENTION

All participants in both groups received cardiac rehabilitation during hospitalisation and three times per week for 4 weeks after discharge. In addition, participants in the experimental group were prescribed a regimen of trunk stabilising exercises to be performed three times per week for 4 weeks. At each exercise session, each of 11 exercises were to be performed with five to ten repetitions.

OUTCOME MEASURES

The primary outcome was sternal separation (the distance between the two halves of the bisected sternum). The secondary outcome was the Sternal Instability Scale from 0 (no instability) to 3 (an unstable sternum with substantial movement or separation). Measures were taken before and after the 4-week intervention period.

RESULTS

After the 4-week intervention period, the experimental group had a greater decrease in sternal separation by 0.09 cm (95% CI 0.07 to 0.11). The experimental group was twice as likely to improve by at least one grade on the Sternal Instability Scale by 4 weeks (RR 2.00, 95% CI 1.07 to 3.75). The experimental group was almost three times as likely to have a clinically stable sternum (grade 0 on the Sternal Instability Scale) by 4 weeks (RR 2.75, 95% CI 1.07 to 7.04).

CONCLUSION

Trunk stabilising exercises were an effective and feasible method of promoting sternal stability in women who underwent heart valve surgery via median sternotomy.

TRIAL REGISTRATION

NCT04632914.

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.

Temporal Changes in Mortality After Transcatheter and Surgical Aortic Valve Replacement: Retrospective Analysis of US Medicare Patients (2012-2019)

Background

The treatment of aortic stenosis is evolving rapidly. Pace of change in the care of patients undergoing transcatheter aortic valve replacement (TAVR) and surgical aortic valve replacement (SAVR) differs. We sought to determine differences in temporal changes in 30‐day mortality, 30‐day readmission, and length of stay after TAVR and SAVR.

Methods and Results

We conducted a retrospective cohort study of patients treated in the United States between 2012 and 2019 using data from the Medicare Data Set Analytic File 100% Fee for Service database. We included consecutive patients enrolled in Medicare Parts A and B and aged ≥65 years who had SAVR or transfemoral TAVR. We defined 3 study cohorts, including all SAVR, isolated SAVR (without concomitant procedures), and elective isolated SAVR and TAVR. The primary end point was 30‐day mortality; secondary end points were 30‐day readmission and length of stay. Statistical models controlled for patient demographics, frailty measured by the Hospital Frailty Risk Score, and comorbidities measured by the Elixhauser Comorbidity Index (ECI). Cox proportional hazard models were developed with TAVR versus SAVR as the main covariates with a 2‐way interaction term with index year. We repeated these analyses restricted to full aortic valve replacement hospitals offering both SAVR and TAVR. The main study cohort included 245 269 patients with SAVR and 188 580 patients with TAVR, with mean±SD ages 74.3±6.0 years and 80.7±6.9 years, respectively, and 36.5% and 46.2% female patients, respectively. Patients with TAVR had higher ECI scores (6.4±3.6 versus 4.4±3) and were more frail (55.4% versus 33.5%). Total aortic valve replacement volumes increased 61% during the 7‐year span; TAVR volumes surpassed SAVR in 2017. The magnitude of mortality benefit associated with TAVR increased until 2016 in the main cohort (2012: hazard ratio [HR], 0.76 [95% CI, 0.67–0.86]; 2016: HR, 0.39 [95% CI, 0.36–0.43]); although TAVR continued to have lower mortality rates from 2017 to 2019, the magnitude of benefit over SAVR was attenuated. A similar pattern was seen with readmission, with a lower risk of readmission from 2012 to 2016 for patients with TAVR (2012: HR, 0.68 [95% CI, 0.63–0.73]; 2016: HR, 0.43 [95% CI, 0.41–0.45]) followed by a lesser difference from 2017 to 2019. Year over year, TAVR was associated with increasingly shorter lengths of stay compared with SAVR (2012: HR, 1.91 [95% CI, 1.84–1.98]; 2019: HR, 5.34 [95% CI, 5.22–5.45]). These results were consistent in full aortic valve replacement hospitals.

Conclusions

The rate of improvement in TAVR outpaced SAVR until 2016, with the recent presence of U‐shaped phenomena suggesting a narrowing gap between outcomes. Future longitudinal research is needed to determine the long‐term implications of lowering risk profiles across treatment options to guide case selection and clinical care.

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.

Sex Differences in Mortality and 90-day Readmission Rates after Transcatheter aortic valve replacement (TAVR): A Nationwide Analysis from the United States

AIM

To assess gender differences in in-hospital mortality and 90-day readmission rates among patients undergoing Transcatheter aortic valve replacement (TAVR) in the United States.

METHODS AND RESULTS

Hospitalizations for TAVR were retrospectively identified in the National readmissions database (NRD) from 2012-2017. Gender based differences in in-hospital mortality and 90-day readmissions were explored using multivariable logistic regression models. During the study period, an estimated 171,361 hospitalizations for TAVR were identified, including 79,722 (46.5%) procedures in women and 91,639 (53.5%) in men. Unadjusted in-hospital mortality and 90-day all-cause readmissions were significantly higher for women compared to men (2.7% vs. 2.3%, p = .002; 25.1% vs. 24.1%; p = .012 respectively). After adjusting for baseline characteristics, women had 13% greater adjusted odds of in-hospital mortality (aOR: 1.13, 95% CI: 1.02-1.26, p = .017), and 9% greater adjusted odds of 90-day readmission compared to men (aOR: 1.09, 95% CI: 1.05-1.14, p < .001). During the study period, there was a steady decrease in hospital mortality (5.3% in 2012 to 1.6% in 2017; ptrend < .001) and 90-day (29.9% in 2012 to 21.7% in 2017; ptrend < .001) readmission rate in both genders.

CONCLUSION

In-hospital mortality and readmission rates for TAVR hospitalizations have decreased over time across both genders. Despite these improvements, women undergoing TAVR continue to have a modestly higher in-hospital mortality, and 90-day readmission rates compared to men. Given the expanding indications and use of TAVR, further research is necessary to identify the reasons for this persistent gap and design appropriate interventions.

Preoperative heart failure worsens outcome after aortic valve replacement irrespective of left ventricular ejection fraction

BACKGROUND

Left ventricular ejection fraction (LVEF) affects outcome of valve replacement (AVR) in aortic stenosis (AS). The study aim was to investigate the prognostic importance of concomitant cardiovascular disease in relation to preoperative LVEF.

METHODS AND RESULTS

All adult patients undergoing AVR due to AS 2008-2014 in a national register for heart diseases were included. All-cause mortality and hospitalization for heart failure during follow-up after AVR, stratified by preserved or reduced LVEF (=50%), was derived from national patient registers and analyzed by Cox regression.During the study period 10,406 patients, median age 73 years, a median follow-up of 35 months were identified. Preserved LVEF was present in 7,512 (72.2%). Among them 647 (8.6%) had a history of heart failure (HF) and 1,099 (14.6%) atrial fibrillation (AF) before intervention. Preoperative HF was associated with higher mortality irrespective of preserved or reduced LVEF: Hazard Ratio (HR) 1.64 (95% C.I. 1.35 -1.99) and 1.58 (95% C.I. 1.30 -1.92). Prior AF was associated with a higher risk of mortality in patients with preserved but not in those with reduced LVEF: HR 1.62 (95% C.I. 1.36 -1.92) and 1.05 (95% C.I. 0.86 -1.28). Irrespective of LVEF preoperative HF and AF were associated with an increased risk of postoperative heart failure hospitalization.

CONCLUSION

In patients planned for AVR, a history of HF or AF, irrespective of LVEF, worsens the postoperative prognosis. HF and AF can be seen as markers of myocardial fibrosis not necessarily discovered by LVEF and the merely use of it, besides symptoms, for timing of AVR seems suboptimal.

Employment status before and after open heart valve surgery: A cohort study

Objective

Detachment from the workforce following open heart valve surgery is a burden for the patient and society. The objectives were to examine patterns of employment status at different time points and to investigate factors associated with a lower likelihood of returning to the workforce within six months.

Methods

A cohort study of patients aged 18–63 undergoing valvular surgery at a Danish tertiary centre from 2013–2017. Return to the workforce was defined as being employed, unemployed (still capable of working) or receiving paid leave of absence. The association between demographic-, clinical characteristics (including a surgical risk evaluation, EuroScore), and return to the workforce were investigated with a multivariable logistic regression model.

Results

In total, 1,395 consecutive patients underwent surgery, 347 were between 18 and 63 years and eligible for inclusion. Of those, 282 were attached to the workforce before surgery and included in the study. At the time of surgery, 79% were on paid sick leave. After six months, 21% of the patients (being part of the workforce before surgery), were still on sick leave. In the regression model, prolonged sick leave prior to surgery (OR 0.43, 95% CI 0.23–0.79) and EuroScore ≥ 2.3 (OR 0.39, 95% CI 0.21–0.74) significantly reduced the likelihood of returning to the workforce.

Conclusion

One-fifth of patients in the working-age were on sick leave six months after surgery. Prolonged sick leave prior to surgery and a EuroScore ≥2.3 were associated with a lower likelihood of returning to the workforce.

Impact of Frailty on Mortality, Readmissions, and Resource Utilization After TAVI

With aging population and preponderance of severe aortic stenosis occurring in elderly patients, the number of transcatheter aortic valve implantations (TAVI) performed in the elderly are growing. Frailty is common in the elderly and is known to be associated with worse outcomes. We aimed to evaluate the impact of frailty on hospital readmissions rates after TAVI. We used the 2016 Nationwide Readmission Database and categorized patients who underwent TAVI low, intermediate, and high frailty status. The primary outcome was 6-months readmission rates across the 3 frailty categories. Secondary outcomes included causes of readmissions, in-hospital mortality and cost of care. STATA 16.0 was used for survey-specific statistical tests. Of 20,504 patients who underwent TAVI, 58.9% were low-, 39.6% were intermediate-, and 1.5% were in the high-frailty group. Overall in-hospital mortality was 1.9% (n = 396), and was 0.6%, 3.3%, and 16.8% (p <0.01) with increasing frailty. Of the 20,108 patients who survived to discharge, 6,427 (32%) patients were readmitted within 6-months after TAVI. Readmission rates increased across the categories from 27.9% in low, 37.6% in intermediate and 51.1% in high frailty group (p <0.01). While cardiac causes (mostly heart failure) were the predominant readmission etiologies across frailty categories (low: 51.2%, intermediate: 34.1%, high: 27.2%), rates of infectious and injury-related readmissions increased (low: 11%, intermediate: 30%, high: 45%). Mortality during readmissions also worsened from 0.8%, 5.3%, and 8.5% (p <0.01). Over 40% of patients undergoing TAVI were of intermediate-high frailty. In conclusion, an increasing frailty was associated with significantly worse postprocedure mortality, readmissions, and related mortality.

Facilitators of and barriers to reducing thirty-day readmissions and improving patient-reported outcomes after surgical aortic valve replacement: a process evaluation of the AVRre trial

BACKGROUND

The Aortic Valve Replacement Readmission (AVRre) randomized control trial tested whether a telephone intervention would reduce hospital readmissions following surgical aortic valve replacement (SAVR). The telephone support provided 30 days of continuous phone-support (hotline) and two scheduled phone-calls from the hospital after discharge. The intervention had no effect on reducing 30-day all-cause readmission rate (30-DACR) but did reduce participants' anxiety compared to a control group receiving usual care. Depression and participant-reported health state were unaffected by the intervention. To better understand these outcomes, we conducted a process evaluation of the AVRre trial to gain insight into the (1) the dose and fidelity of the intervention, (2) mechanism of impacts, and (3) contextual factors that may have influenced the outcomes.

METHODS

The process evaluation was informed by the Medical Research Council framework, a widely used set of guidelines for evaluating complex interventions. A mix of quantitative (questionnaire and journal records) and qualitative data (field notes, memos, registration forms, questionnaire) was prospectively collected, and retrospective interviews were conducted. We performed descriptive analyses of the quantitative data. Content analyses, assisted by NVivo, were performed to evaluate qualitative data.

RESULTS

The nurses who were serving the 24/7 hotline intervention desired to receive more preparation before intervention implementation. SAVR patient participants were highly satisfied with the telephone intervention (58%), felt safe (86%), and trusted having the option of calling in for support (91%). The support for the telephone hotline staff was perceived as a facilitator of the intervention implementation. Content analyses revealed themes: "gap in the care continuum," "need for individualized care," and "need for easy access to health information" after SAVR. Differences in local hospital discharge management practices influenced the 30-DACR incidence.

CONCLUSIONS

The prospective follow-up of the hotline service during the trial facilitated implementation of the intervention, contributing to high participant satisfaction and likely reduced their anxiety after SAVR. Perceived less-than-optimal preparations for the hotline could be a barrier to AVRre trial implementation. Integrating user experiences into a mixed-methods evaluation of clinical trials is important for broadening understanding of trial outcomes, the mechanism of impact, and contextual factors that influence clinical trials.

TRIAL REGISTRATION

ClinicalTrials.gov, NCT02522663. Registered on 11 August 2015.

Causes and characteristics associated with early and late readmission after open-heart valve surgery

OBJECTIVES

The objectives of the study were to describe the causes of readmission from discharge to 30 days and from day 31 to 180 after discharge and to investigate the characteristics associated with overall and cause-specific readmissions after open-heart valve surgery.

METHODS

A single-center, retrospective cohort of 980 patients undergoing open-heart valve surgery from 2013 to 2016. Time to the first readmission was analyzed using univariable and multivariable Cox proportional hazard models. Results are reported as hazard ratios (HR) with 95% confidence intervals (CI).

RESULTS

In total, 366 patients (37%) experienced unplanned cardiac readmission within 180 days after discharge. Within 30 days after discharge, the most frequent causes of readmission were pericardial/pleural effusions (n = 87), infections (n = 50), and atrial fibrillation/flutter (n = 45). Accordingly, infections (n = 32) were the most common cause from day 31 to 180. No powerful predictors of overall cardiac readmission were identified, but several characteristics were associated with cause-specific readmissions: age ≤65 years (HR: 1.85; CI: 1.18-2.88), male gender (HR: 1.85; CI: 1.11-3.09), high alcohol intake (HR: 1.99; CI: 1.22-3.24) and mitral valve procedures (HR: 1.86; CI: 1.11-3.10) were associated with readmissions due to effusions. Ischemic heart disease with a prior percutaneous coronary intervention (HR: 2.94; CI: 1.53-5.63), mitral valve procedures (HR: 2.10; CI: 1.23-3.59), and postoperative atrial fibrillation/flutter (HR: 1.71; CI: 1.03-2.85) were associated with atrial fibrillation/flutter readmissions.

CONCLUSION

Predicting overall readmissions after open-heart valve surgery is difficult as causes of readmissions vary and different causes are associated with different characteristics. Future studies should target reducing cause-specific readmissions.

Early follow-up after open heart valve surgery reduces healthcare costs: a propensity matched study

Objectives

The objective was to assess differences in healthcare costs within 180 days after discharge from open heart valve surgery in an intervention group receiving early, individualised and intensified follow-up compared with a historical control group.

Methods

A cost-minimisation analysis comparing costs from a consecutive prospective cohort compared with a propensity matched cohort. Costs related to the intervention, hospital (outpatient visits and readmissions) and general practitioners (all contacts) were included. Data were obtained from electronic patient records and registry data. A logistic propensity model was used to identify the historical control group. Main results are presented as mean differences and 95% CIs based on bootstrapping.

Results

After matching, the analysis included 300 patients from the intervention group and 580 controls. The mean intervention cost was €171 (SD 79) per patient. After 180 days, the mean healthcare costs were €1284 (SD 2567) for the intervention group and €2077 (SD 4773) for the controls. The cost of the intervention group was €793 (p<0.001) less per patient. The cost differences were explained mainly by fewer readmissions, fewer overall emergency visits and fewer contacts to the general practitioner during out-of-hours in the intervention group.

Conclusions

The intervention consisting of early, individualised and intensified follow-up after open heart valve surgery significantly reduced the healthcare costs within 180 days after discharge.

Experiences of informal caregivers after cardiac surgery: a systematic integrated review of qualitative and quantitative studies

OBJECTIVES

To provide a comprehensive synthesis of informal caregivers' experiences of caring for a significant other following discharge from cardiac surgery.

DESIGN

Systematic integrated review without meta-analysis.

DATA SOURCES

A bibliographic search for publications indexed in six databases (Cochrane Library, CINAHL, MEDLINE, EMBASE, AMED and PsycINFO), including a scan of grey literature sources (GreyNet International, Google Scholar, Web of Science, WorldCat and the Clinical Trials Registry) was conducted in October 2018.

ELIGIBILITY CRITERIA FOR SELECTING STUDIES

Studies were included if they described views and perspectives of informal caregivers of cardiac surgery patients (non-intervention studies (qualitative and quantitative)), and the effectiveness of interventions to evaluate support programme for informal caregivers of cardiac surgery patients (intervention studies).

RESULTS

Of the 4912 articles identified in searches, 42 primary research studies were included in a narrative synthesis with 5292 participants, including 3231 (62%) caregivers of whom 2557 (79%) were women. The median sample size across studies was 96 (range 6-734). Three major themes emerged from the qualitative study data: (1) caregiver information needs; (2) caregiver work challenges and (3) caregivers adaption to recovery. Across the observational studies (n=22), similar themes were found. The trend across seven intervention studies focused on caregiver information needs related to patient disease management and symptom monitoring, and support for caregivers to reduce symptoms of emotional distress.

CONCLUSION

Informal caregivers want to assist in the care of their significant others after hospital discharge postcardiac surgery. However, caregivers feel insecure and overwhelmed and they lack clear/concise discharge information and follow-up support during the early at-home recovery period. The burden of caregiving has been recognised and reported since the early 1990s, but there remains a limited number of studies that assesses the effectiveness of caregiver interventions.

PROSPERO REGISTRATION NUMBER

CRD42018096590.

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.

Incidence and predictors of readmissions to non-index hospitals after transcatheter aortic valve replacement and the impact on in-hospital outcomes: From the nationwide readmission database

INTRODUCTION

Whether readmission to non-index hospitals (where the initial procedure was not performed) could result in adverse outcomes and increased utilization of healthcare resources compared with readmission to index hospitals after transcatheter aortic valve replacement (TAVR) remains unclear.

METHODS

From January 2012 to September 2015, a nationwide readmission database was queried to identify those who were older than 50 years and had endovascular TAVR, using the International Classification of Disease, 9th Revision, Clinical Modification code 35.05. Elective readmissions were excluded. In-hospital outcomes were compared between the index and non-index hospital readmissions. A multivariable logistic regression analysis was performed to identify predictors of non-index hospital readmissions.

RESULTS

A total of 6808 readmissions were identified of which 2564 (37.7%) were readmitted to non-index hospitals. Residents at smaller counties, metropolitan non-teaching hospitals, or hospitals at large metropolitan areas were predictors of non-index readmissions. In-hospital mortality (adjusted odds ratio [aOR] 1.27, p = 0.20), acute myocardial infarction (aOR 0.83, p = 0.53), pacemaker placement (aOR 0.97, p = 0.90), acute kidney injury (aOR 0.98, p = 0.84), and stroke (aOR 1.03, p = 0.90) were similar between index and non-index readmissions but bleeding events requiring transfusions were more frequently observed in readmissions at non-index hospitals (aOR 1.32, p = 0.025). Hospital cost (15,410 dollars vs. 16,390 dollars, p = 0.25) and length of stay (5.70 days vs. 5.65 days, p = 0.85) were comparable between groups.

CONCLUSIONS

Non-index readmissions post-TAVR was relatively common but did not result in increased hospital mortality or healthcare utilization. Our results are reassuring for TAVR recipients with limited access to index hospitals.

Aortic stenosis and diabetes mellitus: An ominous combination

Aortic stenosis and diabetes mellitus are both progressive diseases which, if left untreated, result in significant morbidity and mortality. There is evidence that the prevalence of diabetes is substantially increased in patients with aortic stenosis and those with diabetes have increased rates of progression from mild to severe aortic stenosis. There are good data supporting the hypothesis that aortic stenosis and diabetes mellitus are associated with diabetes mellitus being detrimental towards the quality of life and survival of patients. Thus, a thorough understanding of the pathogenesis of both of these disease processes and the relationship between them aids in designing appropriate preventive and therapeutic approaches. This review aims to give a comprehensive and up-to-date insight into the influence of diabetes mellitus on patients with degenerative aortic stenosis, as well as the prognosis and therapeutic approach to these patients.

Incidence, Predictors, and In-Hospital Outcomes of Transcatheter Aortic Valve Implantation After Nonelective Admission in Comparison With Elective Admission: From the Nationwide Inpatient Sample Database

Candidates for transcatheter aortic valve implantation (TAVI) are generally older with multiple co-morbidities and are therefore susceptible to nonelective admissions before scheduled TAVI. Frequency, predictors, and outcomes of TAVI after nonelective admission are under-explored. We queried the Nationwide Inpatient Sample database, an administrative database, from January 2012 to September 2015 to identify hospitalization in those age ≥50 who had transarterial TAVI. A propensity-matched cohort was created to compare the outcomes between nonelective and elective admission who had TAVI. The primary outcome was in-hospital mortality. A total of 9,521 TAVI admissions were identified during the study period. Of these admissions, 22.3% were nonelective admissions. Pulmonary circulation disorders (adjusted odds ratio [aOR] 1.38), anemia (aOR 1.54), congestive heart failure (aOR 1.37), chronic kidney disease (aOR 1.28; all p <0.001), and atrial fibrillation (aOR 1.17, p = 0.006) were independent risk factors for nonelective admission. In a propensity-matched cohort (1,683 admissions in each cohort), in-hospital mortality was similar (4.0% vs 2.8%, p = 0.052). Nonelective admissions had higher rates of acute myocardial infarction (5.2% vs 0.7%), fatal arrhythmia (9.4% vs 6.0%), acute kidney injury (25.9% vs 17.1%), respiratory failure requiring intubation (0.26% vs 0.19%), cardiogenic shock (5.1% vs 2.1%; all p <0.001), and bleeding requiring transfusion (13.1% vs 10.1%, p = 0.006) during the index-hospitalization. Hospital length of stay (11.4 days vs 6.5 days, p <0.001) and hospital cost ($68,669 vs $57,442, p <0.001) were both increased in nonelective admissions. Nonelective admission accounted for approximately one-fifth of total TAVI with significantly different cohort profiles. Our results suggest that nonelective TAVI has higher adverse outcomes and increased health resource utilization. Expedition in TAVI process in high-risk cohorts may result in better outcomes.