Patients with aortic stenosis referred for TAVI: treatment decision, in-hospital outcome and determinants of survival

Adiponectin serum level is an independent and incremental predictor of all-cause mortality after transcatheter aortic valve replacement

Background

Quantifiable biomarkers may be useful for a better risk and frailty assessment of patients referred for transcatheter aortic valve implantation (TAVI).

Hypothesis

To determine if adiponectin serum concentration predicts all‐cause mortality in patients undergoing TAVI.

Methods

77 consecutive patients, undergoing TAVI, were analyzed. The CT axial slices at the level of the fourth lumbar vertebra were used to measure the psoas muscle area, and its low‐density muscle fraction (LDM (%)). To assess the operative risk, the STS (Society of Thoracic Surgeons Predicted Risk of Mortality) score, Log. Euroscore, and Euroscore II were determined. A clinical frailty assessment was performed. ELISA kits were used to measure adiponectin serum levels. We searched for a correlation between serum adiponectin concentration and all‐cause mortality after TAVI.

Results

The mean age was 80.8 ± 7.4 years. All‐cause mortality occurred in 22 patients. The mean follow‐up was 1779 days (range: 1572–1825 days). Compared with patients with the lowest adiponectin level, patients in the third tertile had a hazards ratio of all‐cause mortality after TAVI of 4.155 (95% CI: 1.364–12.655) (p = .004). In the multivariable model, including STS score, vascular access of TAVI procedure, LDM (%), and adiponectin serum concentration, serum adiponectin level, and LDM(%) were independent predictors of all‐cause mortality after TAVI (p = .178, .303, .042, and .017, respectively). Adiponectin level was a predictor of all‐cause mortality in females and males (p = .012 and 0.024, respectively).

Conclusion

Adiponectin serum level is an independent and incremental predictor of all‐cause mortality in patients undergoing TAVI.

Aortic stenosis post-COVID-19: a mathematical model on waiting lists and mortality

OBJECTIVES

To provide estimates for how different treatment pathways for the management of severe aortic stenosis (AS) may affect National Health Service (NHS) England waiting list duration and associated mortality.

DESIGN

We constructed a mathematical model of the excess waiting list and found the closed-form analytic solution to that model. From published data, we calculated estimates for how the strategies listed under Interventions may affect the time to clear the backlog of patients waiting for treatment and the associated waiting list mortality.

SETTING

The NHS in England.

PARTICIPANTS

Estimated patients with AS in England.

INTERVENTIONS

(1) Increasing the capacity for the treatment of severe AS, (2) converting proportions of cases from surgery to transcatheter aortic valve implantation and (3) a combination of these two.

RESULTS

In a capacitated system, clearing the backlog by returning to pre-COVID-19 capacity is not possible. A conversion rate of 50% would clear the backlog within 666 (533-848) days with 1419 (597-2189) deaths while waiting during this time. A 20% capacity increase would require 535 (434-666) days, with an associated mortality of 1172 (466-1859). A combination of converting 40% cases and increasing capacity by 20% would clear the backlog within a year (343 (281-410) days) with 784 (292-1324) deaths while awaiting treatment.

CONCLUSION

A strategy change to the management of severe AS is required to reduce the NHS backlog and waiting list deaths during the post-COVID-19 'recovery' period. However, plausible adaptations will still incur a substantial wait to treatment and many hundreds dying while waiting.

Impact of wait times on late postprocedural mortality after successful transcatheter aortic valve replacement

Wait times are associated with mortality on waiting list for transcatheter aortic valve replacement (TAVR). Whether longer wait times are associated with long term mortality after successful TAVR remains unassessed. Consecutive patients successfully treated with elective TAVR in our center between January 2013 and August 2019 were included. The primary end point was one-year all-cause mortality. TAVR wait times were defined as the interval from referral date for valve replacement to the date of TAVR procedure. A total of 383 patients were included with a mean wait time of 144.2 ± 83.87 days. Death occurred in 55 patients (14.4%) at one year. Increased wait times were independently associated with a relative increase of 1-year mortality by 2% per week after referral (Adjusted Hazard Ratio 1.02 [1.002–1.04]; p = 0.02) for TAVR. Chronic kidney disease, left ventricular ejection fraction ≤ 30%, access site and STS score were other independent correlates of 1-year mortality. Our study shows that wait times are relatively long in routine practice and associated with increased 1-year mortality after successful TAVR. Such findings underscore the need of strategies to minimize delays in access to TAVR.

Predictors of Permanent Pacemaker Implantation in Patients Undergoing Transcatheter Aortic Valve Replacement - A Systematic Review and Meta-Analysis

Background

As transcatheter aortic valve replacement (TAVR) technology expands to healthy and lower‐risk populations, the burden and predictors of procedure‐related complications including the need for permanent pacemaker (PPM) implantation needs to be identified.

Methods and Results

Digital databases were systematically searched to identify studies reporting the incidence of PPM implantation after TAVR. A random‐ and fixed‐effects model was used to calculate unadjusted odds ratios (OR) for all predictors. A total of 78 studies, recruiting 31 261 patients were included in the final analysis. Overall, 6212 patients required a PPM, with a mean of 18.9% PPM per study and net rate ranging from 0.16% to 51%. The pooled estimates on a random‐effects model indicated significantly higher odds of post‐TAVR PPM implantation for men (OR, 1.16; 95% CI, 1.04–1.28); for patients with baseline mobitz type‐1 second‐degree atrioventricular block (OR, 3.13; 95% CI, 1.64–5.93), left anterior hemiblock (OR, 1.43; 95% CI, 1.09–1.86), bifascicular block (OR, 2.59; 95% CI, 1.52–4.42), right bundle‐branch block (OR, 2.48; 95% CI, 2.17–2.83), and for periprocedural atriorventricular block (OR, 4.17; 95% CI, 2.69–6.46). The mechanically expandable valves had 1.44 (95% CI, 1.18–1.76), while self‐expandable valves had 1.93 (95% CI, 1.42–2.63) fold higher odds of PPM requirement compared with self‐expandable and balloon‐expandable valves, respectively.

Conclusions

Male sex, baseline atrioventricular conduction delays, intraprocedural atrioventricular block, and use of mechanically expandable and self‐expanding prosthesis served as positive predictors of PPM implantation in patients undergoing TAVR.

Management of patients with severe aortic stenosis in the TAVI-era: how recent recommendations are translated into clinical practice

Objective

Approximately 3.4% of adults aged >75 years suffer from aortic stenosis (AS). Guideline indications for aortic valve replacement (AVR) distinguish between patients with symptomatic and asymptomatic severe AS. The present analysis aims to assess contemporary practice in the treatment of severe AS across Europe and identify characteristics associated with treatment decisions, namely denial of AVR in symptomatic patients and assignment of asymptomatic patients to AVR.

Methods

Participants of the prospective, multinational IMPULSE database of patients with severe AS were grouped according to AS symptoms, and stratified into subgroups based on assignment to/denial of AVR.

Results

Of 1608 symptomatic patients, 23.8% did not undergo AVR and underwent medical treatment. Denial was independently associated with multiple factors, including severe frailty (p=0.024); mitral (p=0.002) or tricuspid (p=0.004) regurgitation grade III/IV, and the presence of renal impairment (p=0.017). Of 392 asymptomatic patients, 86.5% had no prespecified indication for AVR. Regardless, 36.3% were assigned to valve replacement. Those with an indexed aortic valve area (AVA; p=0.045) or left ventricular ejection fraction (LVEF; p<0.001) below the study median; or with a left ventricular end systolic diameter above the study median (p=0.007) were more likely to be assigned to AVR.

Conclusions

There may be considerable discrepancies between guideline-based recommendations and clinical practice decision-making in the treatment of AS. It appears that guidelines may not fully capture the complete clinical spectrum of patients with AS. Thus, there is a need to find ways to increase their acceptance and the rate of adoption.

Impact of procedural capacity on transcatheter aortic valve replacement wait times and outcomes: a study of regional variation in Ontario, Canada

Background

There has been rapid growth in the demand for transcatheter aortic valve replacement (TAVR), which has the potential to overwhelm current capacity. This imbalance between demand and capacity may lead to prolonged wait times, and subsequent adverse outcomes while patients are on the waitlist. We sought to understand the relationship between regional differences in capacity, TAVR wait times and morbidity/mortality on the waitlist.

Methods and results

We modelled the effect of TAVR capacity, defined as the number of TAVR procedures per million residents/region, on the hazard of having a TAVR in Ontario from April 2012 to March 2017. Our primary outcome was the time from referral to a TAVR procedure or other off-list reasons on the waitlist/end of the observation period as measured in days. Clinical outcomes of interest were all-cause mortality, all-cause hospitalisations or heart failure-related hospitalisations while on the waitlist for TAVR. There was an almost fourfold difference in TAVR capacity across the 14 regions in Ontario, ranging from 31.5 to 119.5 TAVR procedures per million residents. The relationship between TAVR capacity and wait times was complex and non-linear. In general, increased capacity was associated with shorter wait times (p<0.001), reduced mortality (HR 0.94; p=0.08) and all-cause hospitalisations (p=0.009).

Conclusions

The results of the present study have important policy implications, suggesting that there is a need to improve TAVR capacity, as well as develop wait-time strategies to triage patients, in order to decrease wait times and mitigate the hazard of adverse patient outcomes while on the waitlist.

Shared decision making in older patients with symptomatic severe aortic stenosis: a systematic review

This review provides an overview of the status of shared decision making (SDM) in older patients regarding treatment of symptomatic severe aortic stenosis (SSAS). The databases Embase, Medline Ovid, Cinahl and Cochrane Dare were searched for relevant studies from January 2002 to May 2018 regarding perspectives of professionals, patients and caregivers; aspects of decision making; type of decision making; application of the six domains of SDM; barriers to and facilitators of SDM. The systematic search yielded 1842 articles, 15 studies were included. Experiences of professionals and informal caregivers with SDM were scarcely found. Patient refusal was a frequently reported result of decision making, but often no insight was given into the decision process. Most studies investigated the 'decision' and 'option' domains of SDM, yet no study took all six domains into account. Problem analysis, personalised treatment aims, use of decision aids and integrating patient goals in decisions lacked in all studies. Barriers to and facilitators of SDM were 'individualised formal and informal information support' and 'patients' opportunity to use their own knowledge about their health condition and preferences for SDM'. In conclusion, SDM is not yet common practice in the decision making process of older patients with SSAS. Moreover, the six domains of SDM are not often applied in this process. More knowledge is needed about the implementation of SDM in the context of SSAS treatment and how to involve patients, professionals and informal caregivers.

Association Between Wait Time for Transcatheter Aortic Valve Replacement and Early Postprocedural Outcomes

Background

Rapid growth in transcatheter aortic valve replacement (TAVR) demand has translated to inadequate access, reflected by prolonged wait times. Increasing wait times are associated with important adverse outcomes while on the wait‐list; however, it is unknown if prolonged wait times influence postprocedural outcomes. Our objective was to determine the association between TAVR wait times and postprocedural outcomes.

Methods and Results

In this population‐based study in Ontario, Canada, we identified all TAVR procedures between April 1, 2010, and March 31, 2016. Wait time was defined as the number of days between initial referral and the procedure. Primary outcomes of interest were 30‐day all‐cause mortality and all‐cause readmission. Multivariable regression models incorporated wait time as a nonlinear variable, using cubic splines. The study cohort included 2170 TAVR procedures, of which 1741 cases were elective and 429 were urgent. There was a significant, nonlinear relationship between TAVR wait time and post‐TAVR 30‐day mortality, as well as 30‐day readmission. We observed an increased hazard associated with shorter wait times that diminished as wait times increased. This statistically significant nonlinear relationship was seen in the unadjusted model as well as after adjusting for clinical variables. However, after adjusting for case urgency status, there was no relationship between wait times and postprocedural outcomes. In sensitivity analyses restricted to either only elective or only urgent cases, there was no relationship between wait times and postprocedural outcomes.

Conclusions

Wait time has a complex relationship with postprocedural outcomes that is mediated entirely by urgency status. This suggests that further research should elucidate factors that predict hospitalization requiring urgent TAVR while on the wait list.

Temporal Trends and Clinical Consequences of Wait Times for Transcatheter Aortic Valve Replacement

Background:

Transcatheter aortic valve replacement (TAVR) represents a paradigm shift in the therapeutic options for patients with severe aortic stenosis. However, rapid and exponential growth in TAVR demand may overwhelm capacity, translating to inadequate access and prolonged wait times. Our objective was to evaluate temporal trends in TAVR wait times and the associated clinical consequences.

Methods:

In this population-based study in Ontario, Canada, we identified all TAVR referrals from April 1, 2010, to March 31, 2016. The primary outcome was the median total wait time from referral to procedure. Piecewise regression analyses were performed to assess temporal trends in TAVR wait times, before and after provincial reimbursement in September 2012. Clinical outcomes included all-cause death and heart failure hospitalizations while on the wait list.

Results:

The study cohort included 4461 referrals, of which 50% led to a TAVR, 39% were off-listed for other reasons, and 11% remained on the wait list at the conclusion of the study. For patients who underwent a TAVR, the estimated median wait time in the postreimbursement period stabilized at 80 days and has remained unchanged. The cumulative probability of wait-list mortality and heart failure hospitalization at 80 days was ≈2% and 12%, respectively, with a relatively constant increase in events with increased wait times.

Conclusions:

Postreimbursement wait time has remained unchanged for patients undergoing a TAVR procedure, suggesting the increase in capacity has kept pace with the increase in demand. The current wait time of almost 3 months is associated with important morbidity and mortality, suggesting a need for greater capacity and access.

Advanced chronic kidney disease: Relationship to outcomes post-TAVR, a meta-analysis

Chronic kidney disease (CKD) is associated with worse outcomes in high-surgical-risk patients undergoing transcatheter aortic valve replacement (TAVR). However, it is unclear whether this relationship is apparent in lower-surgical-risk patients. We sought to analyze existing literature to assess whether or not advanced CKD is associated with increased mortality or a greater incidence of adverse events (specifically major stroke, bleeding, and vascular complications). We searched PubMed and Embase (2008-2017) for relevant studies. Studies with <1 year follow-up and those not evaluating advanced CKD or outcomes post-TAVR were excluded. Our co-primary endpoints were the incidence of short-term mortality (defined as in-hospital or 30-day mortality) and long-term mortality (1 year). Our secondary endpoints included incidence of major stroke, life-threatening bleeding, and major vascular complications. Eleven observational studies with a total population of 10709 patients met the selection criteria. Among patients with CKD there was an increased risk of short- and long-term mortality in high-surgical-risk patients who underwent TAVR (hazard ratio [HR]: 1.51, 95% confidence interval [CI]: 1.22-1.88 and HR: 1.56, 95% CI: 1.38-1.77, respectively; P < 0.01). However, there was no association between CKD and mortality in low- to intermediate-risk patients (HR: 1.35, 95% CI: 0.98-1.84, P = 0.06 in short-term and HR: 1.08, 95% CI: 0.92-1.27, P = 0.34 in long-term). In low- to intermediate-risk TAVR patients, advanced CKD is not associated with increased mortality or poorer safety outcomes. These findings should be factored into the clinical decision-making process regarding TAVR candidacy.

Transcatheter vs. surgical aortic valve replacement and medical treatment : Systematic review and meta-analysis of randomized and non-randomized trials

BACKGROUND

Transcatheter aortic valve replacement (TAVR) has emerged as the procedure of choice for patients with severe aortic stenosis (AS) and high perioperative risk. We performed a meta-analysis to compare the mortality related to TAVR with medical therapy (MT) and surgical aortic valve replacement (SAVR).

METHODS

A systematic literature search was conducted by two independent investigators from the database inception to 30 December 2014. Relative risk (RR) and odds ratio (OR) were calculated and graphically displayed in forest plots. We used I ² for heterogeneity (meta-regression) and Egger's regression test of asymmetry (funnel plots).

RESULTS

We included 24 studies (n = 19 observational studies; n = 5 randomized controlled trials), with a total of 7356 patients in this meta-analysis. Mean age had a substantial negative impact on the long-term survival of AS patients (OR = 1.544; 95% CI: 1.25-1.90). Compared with MT, TAVR showed a statistically significant benefit for all-cause mortality at 12 months (OR = 0.68; 95% CI: 0.49-0.95). Both TAVR and SAVR were associated with better outcomes compared with MT. TAVR showed lower all-cause mortality over SAVR at 12 months (OR = 0.81; 95% CI: 0.68-0.97). The comparison between SAVR and TAVR at 2 years revealed no significant difference (OR = 1.09; 95% CI: 1.01-1.17).

CONCLUSION

In AS, both TAVR and SAVR provide a superior prognosis to MT and, therefore, MT is not the preferred treatment option for AS. Furthermore, our data show that TAVR is associated with lower mortality at 12 months compared with SAVR. Further studies are warranted to compare the long-term outcome of TAVR versus SAVR beyond a 2-year follow-up period.

Impact of renal dysfunction on mid-term outcome after transcatheter aortic valve implantation: a systematic review and meta-analysis

Background

There is conflicting evidence regarding the impact of preexisting renal dysfunction (RD) on mid-term outcomes after transcatheter aortic valve implantation (TAVI) in patients with symptomatic aortic stenosis (AS).

Methods and results

Forty-seven articles representing 32,131 patients with AS undergoing a TAVI procedure were included in this systematic review and meta-analysis. Pooled analyses were performed with both univariate and multivariate models, using a fixed or random effects method when appropriate. Compared with patients with normal renal function, mid-term mortality was significantly higher in patients with preexisting RD, as defined by the author (univariate hazard ratio [HR]: 1.69; 95% confidence interval [CI]: 1.50–1.90; multivariate HR: 1.47; 95% CI: 1.17–1.84), baseline estimated glomerular filtration rate (eGFR) (univariate HR: 1.65; 95% CI: 1.47–1.86; multivariate HR: 1.46; 95% CI: 1.24–1.71), and serum creatinine (univariate HR: 1.69; 95% CI: 1.48–1.92; multivariate HR: 1.65; 95% CI: 1.36–1.99). Advanced stage of chronic kidney disease (CKD stage 3–5) was strongly related to bleeding (univariate HR in CKD stage 3: 1.30, 95% CI: 1.13–1.49; in CKD stage 4: 1.30, 95% CI: 1.04–1.62), acute kidney injure (AKI) (univariate HR in CKD stage 3: 1.28, 95% CI: 1.03–1.59; in CKD stage 4: 2.27, 95% CI: 1.74–2.96), stroke (univariate HR in CKD stage 4: 3.37, 95% CI: 1.52–7.46), and mid-term mortality (univariate HR in CKD stage 3: 1.57, 95% CI: 1.26–1.95; in CKD stage 4: 2.77, 95% CI: 2.06–3.72; in CKD stage 5: 2.64, 95% CI: 1.91–3.65) compared with CKD stage 1+2. Patients with CKD stage 4 had a higher incidence of AKI (univariate HR: 1.70, 95% CI: 1.34–2.16) and all-cause death (univariate HR: 1.60, 95% CI: 1.28–1.99) compared with those with CKD stage 3. A per unit decrease in serum creatinine was also associated with a higher mortality at mid-term follow-up (univariate HR: 1.24, 95% CI: 1.18–1.30; multivariate HR: 1.19, 95% CI: 1.08–1.30).

Conclusions

Preexisting RD was associated with increased mid-term mortality after TAVI. Patients with CKD stage 4 had significantly higher incidences of peri-procedural complications and a poorer prognosis, a finding that should be factored into the clinical decision-making process regarding these patients.

Prevalence, factors associated with, and prognostic effects of preoperative anemia on short- and long-term mortality in patients undergoing transcatheter aortic valve implantation

BACKGROUND

There is scant information on the prevalence and factors associated with preoperative anemia in patients undergoing transcatheter aortic valve implantation (TAVI) and whether it is associated with mortality. We sought to determine the prevalence and factors associated with preoperative anemia in addition to the prognostic effects of the various levels of preoperative hemoglobin level on mortality in patients undergoing TAVI.

METHODS AND RESULTS

Ten-center observational study encompassing 1696 patients with aortic stenosis who underwent TAVI was conducted. Anemia was defined by the World Health Organization criteria (hemoglobin <12.0 g/dL in women and <13.0 g/dL in men). The prevalence of preoperative anemia was 57%. Patient-related factors associated with preoperative anemia were (descending order of odds ratio [95% confidence interval]) as follows: anemia-related medication (4.90 [3.08-7.80]), history of heart failure (1.77 [1.43-2.20]), male sex (1.69 [1.32-2.16]), mitral regurgitation grade ≥III (1.61 [1.15-2.25]), history of malignancy (1.44 [1.03-2.09]), and peripheral vascular disease (1.33 [1.04-1.70]). The creatinine clearance was inversely associated with preoperative anemia (odds ratio, 0.92 [0.87-0.97]). In multivariable analyses, preoperative anemia was not associated with 30-day mortality (1.72 [0.96-3.12]; P=0.073) but showed the strongest association with 1-year mortality with a hazard ratio (95% confidence interval) of 2.78 (1.60-4.82) in patients with hemoglobin <10 g/dL. Patients with anemia received ≥1 blood transfusion 2× more often, but the indication of transfusion was unrelated to overt bleeding in 60%. Blood transfusion was associated with mortality at 30 days (odds ratio, 1.25 [95% confidence interval, 1.08-3.67]) and during follow-up (hazard ratio, 1.09 [95% confidence interval, 1.03-1.14]).

CONCLUSIONS

Preoperative anemia is prevalent in >50% of patients undergoing TAVI. Various baseline factors were related to anemia, which in turn was associated with 1-year mortality. Patients with anemia received more transfusions but mostly for indications unrelated to overt bleeding, whereas transfusion was independently associated with both early and 1-year mortality. These findings indicate that optimization of baseline factors related to preoperative anemia, in addition to more strict criteria of the use of blood products, may improve outcome after TAVI.

Transapical versus transfemoral aortic valve implantation: a multicenter collaborative study

BACKGROUND

There are no direct comparisons between transapical aortic valve implantation (TA-AVI) and transfemoral aortic valve implantation (TF-AVI). Therefore, the aim of this study was to compare the short-term and midterm outcomes of TA-AVI versus TF-AVI.

METHODS

Data from four European centers were pooled and analyzed. To minimize differences between TA-AVI and TF-AVI multivariable analysis was used. Study endpoints were defined according to the Valve Academic Research Consortium-I criteria at 30 days and 1 year. Primary endpoints of this study were 30-day all-cause mortality and mortality during follow-up.

RESULTS

A total of 882 patients underwent TAVI, of whom 793 (89.9%) underwent TF-AVI and 89 (10.1%) underwent TA-AVI. Patients undergoing TA-AVI had a higher estimated risk of mortality as defined by the logistic European System for Cardiac Operative Risk Evaluation score (median 27.0, interquartile range [IQR]: 20.2 to 33.8 versus median 20.0, IQR: 12.3 to 27.7; p < 0.001) and The Society of Thoracic Surgeons Score (median 10.2, IQR: 5.3 to 9.9 versus median 6.7, IQR: 3.5 to 9.9; p < 0.001) and had more comorbidities. At 30 days, there was an increased risk of all-cause mortality in the TA-AVI group (odds ratio [OR] 3.12, 95% confidence interval [CI]: 1.43 to 6.82; p = 0.004). TF-AVI was associated with a higher frequency of major (OR 0.33, 95% CI: 0.12 to 0.90; p = 0.031) and minor vascular complications (OR 0.17, 95% CI: 0.04 to 0.71; p = 0.0015). In-hospital stay was significantly longer among patients undergoing TA-AVI (OR 2.29, 95% CI: 1.28 to 4.09; p = 0.05). During a median follow-up of 365 days (IQR: 174 to 557), TA-AVI was associated with an increased risk of all-cause mortality (hazard ratio 1.88, 95% CI: 1.23 to 2.87; p = 0.004).

CONCLUSIONS

In institutions performing a low volume of TA-AVI, the technique is associated with an increased risk of all-cause mortality and longer hospital stay but less vascular complications in comparison with TF-AVI. The interaction between experience and type of treatment on outcome requires further investigation before advocating one treatment over the other.

Frequency, determinants and prognostic implications of infectious complications after transcatheter aortic valve implantation

In-hospital infection (IHI) after transcatheter aortic valve implantation (TAVI) has received little attention, although it may have a significant effect on outcomes and costs because of prolonged hospital stay. Therefore, the aim of this study was to determine the incidence, type, predictors, and prognostic effects of IHI after TAVI. This study included 298 consecutive patients from 2 centers who underwent TAVI from November 2005 to November 2011. IHI during the hospital stay was defined on the basis of symptoms and signs assessed by the attending physician in the cardiac care unit or medium care unit in combination with all technical examinations performed to confirm infection. IHI after TAVI was observed in 58 patients (19.5%): urinary tract infections in 25 patients (43.1%), pneumonia in 12 patients (20.7%), and access-site infections in 7 patients (12.1%). In 12 patients (20.7%), the site of infection could not be determined, and 2 patients (3.4%) had multiple infection sites. Multivariate analysis revealed that surgical access through the femoral artery was the most important determinant of infection (odds ratio [OR] 4.18, 95% confidence interval [CI] 1.02 to 17.19), followed by perioperative major stroke (OR 3.21, 95% CI 1.01 to 9.52) and overweight (body mass index ≥25 kg/m²; OR 2.27, 95% CI 1.12 to 4.59). The length of hospital stay in patients with IHIs was 15.0 days (interquartile range 8.0 to 22.0) compared with 7.0 days (interquartile range 4.0 to 10.0) in patients without infections (p <0.0001). Kaplan-Meier estimates of survival at 1 year were 76.6% and 74.4% (log-rank, p = 0.61), respectively. Unadjusted and adjusted OR analysis revealed that IHI did not predict mortality at 30 days (OR 1.27, 95% CI 0.49 to 3.30) or at 1 year (hazard ratio 1.24, 95% CI 0.68 to 2.25). In conclusion, IHI occurred in 19.5% of the patients. Patient-related and, more important, procedure-related variables play a role in the occurrence of infection, indicating that improvements in the execution of TAVI may lead to a reduction of this complication.

Effect of body mass index on short- and long-term outcomes after transcatheter aortic valve implantation

Better outcomes have been reported after percutaneous cardiac intervention in obese patients ("obesity paradox"). However, limited information is available on the effect of the body mass index on the outcomes after transcatheter aortic valve implantation (TAVI). We, therefore, sought to determine the effect of the body mass index on the short- and long-term outcomes in patients who underwent TAVI. The population consisted of 940 patients, of whom 25 (2.7%) were underweight, 384 had a (40.9%) normal weight, 372 (39.6%) were overweight, and 159 (16.9%) were obese. Overall, the obese patients were younger (79.7 ± 6.4 years vs 81.7 ± 7.3 and 80.8 ± 7.0 years, p = 0.008) and had a greater prevalence of preserved left ventricular and renal function. On univariate analysis, obese patients had a greater incidence of minor stroke (1.3% vs 0 and 0.3%, p = 0.03), minor vascular complications (15.7% vs 9.1% and 11.6%, p = 0.028) and acute kidney injury stage I (23.3% vs 10.7% and 16.1%, p <0.001). After adjustment, body mass index, as a continuous variable, was associated with a lower risk of mortality at 30 days (odds ratio 0.93, 95% confidence interval 0.86 to 0.98, p = 0.023) and no effect on survival after discharge (hazard ratio 1.01, 95% confidence interval 0.96 to 1.07, p = 0.73). In conclusion, obesity was associated with a greater incidence of minor, but no major, perioperative complications after TAVI. After adjustment, obesity was associated with a lower risk of 30-day mortality and had no adverse effect on mortality after discharge, underscoring the "obesity paradox" in patients undergoing TAVI.

Prognostic utility of biomarkers in predicting of one-year outcomes in patients with aortic stenosis treated with transcatheter or surgical aortic valve implantation

Objectives

The aim of the work was to find biomarkers identifying patients at high risk of adverse clinical outcomes after TAVI and SAVR in addition to currently used predictive model (EuroSCORE).

Background

There is limited data about the role of biomarkers in predicting prognosis, especially when TAVI is available.

Methods

The multi-biomarker sub-study included 42 consecutive high-risk patients (average age 82.0 years; logistic EuroSCORE 21.0%) allocated to TAVI transfemoral and transapical using the Edwards-Sapien valve (n = 29), or SAVR with the Edwards Perimount bioprosthesis (n = 13). Standardized endpoints were prospectively followed during the 12-month follow-up.

Results

The clinical outcomes after both TAVI and SAVR were comparable. Malondialdehyde served as the best predictor of a combined endpoint at 1 year with AUC (ROC analysis) = 0.872 for TAVI group, resp. 0.765 (p<0.05) for both TAVI and SAVR groups. Increased levels of MDA, matrix metalloproteinase 2, tissue inhibitor of metalloproteinase (TIMP1), ferritin-reducing ability of plasma, homocysteine, cysteine and 8-hydroxy-2-deoxyguanosine were all predictors of the occurrence of combined safety endpoints at 30 days (AUC 0.750–0.948; p<0.05 for all). The addition of MDA to a currently used clinical model (EuroSCORE) significantly improved prediction of a combined safety endpoint at 30 days and a combined endpoint (0–365 days) by the net reclassification improvement (NRI) and the integrated discrimination improvement (IDI) (p<0.05).

Cystatin C, glutathione, cysteinylglycine, asymmetric dimethylarginine, nitrite/nitrate and MMP9 did not prove to be significant. Total of 14.3% died during 1-year follow-up.

Conclusion

We identified malondialdehyde, a marker of oxidative stress, as the most promising predictor of adverse outcomes during the 30-day and 1-year follow-up in high-risk patients with symptomatic, severe aortic stenosis treated with TAVI. The development of a clinical “TAVIscore” would be highly appreciated. Such dedicated scoring system would enable further testing of adjunctive value of various biomarkers.

Frequency and causes of stroke during or after transcatheter aortic valve implantation

Transcatheter aortic valve implantation (TAVI) is invariably associated with the risk of clinically manifest transient or irreversible neurologic impairment. We sought to investigate the incidence and causes of clinically manifest stroke during TAVI. A total of 214 consecutive patients underwent TAVI with the Medtronic-CoreValve System from November 2005 to September 2011 at our institution. Stroke was defined according to the Valve Academic Research Consortium recommendations. Its cause was established by analyzing the point of onset of symptoms, correlating the symptoms with the computed tomography-detected defects in the brain, and analyzing the presence of potential coexisting causes of stroke, in addition to a multivariate analysis to determine the independent predictors. Stroke occurred in 19 patients (9%) and was major in 10 (5%), minor in 3 (1%), and transient (transient ischemic attack) in 6 (3%). The onset of symptoms was early (≤24 hours) in 8 patients (42%) and delayed (>24 hours) in 11 (58%). Brain computed tomography showed a cortical infarct in 8 patients (42%), a lacunar infarct in 5 (26%), hemorrhage in 1 (5%), and no abnormalities in 5 (26%). Independent determinants of stroke were new-onset atrial fibrillation after TAVI (odds ratio 4.4, 95% confidence interval 1.2 to 15.6), and baseline aortic regurgitation grade III or greater (odds ratio 3.2, 95% confidence interval 1.1 to 9.3). In conclusion, the incidence of stroke was 9%, of which >1/2 occurred >24 hours after the procedure. New-onset atrial fibrillation was associated with a 4.4-fold increased risk of stroke. In conclusion, these findings indicate that improvements in postoperative care after TAVI are equally, if not more, important for the reduction of periprocedural stroke than preventive measures during the procedure.