Modifiable Predictors of In-Hospital Mortality in Patients Undergoing Transcatheter Aortic Valve Replacement

Impact of age on outcomes after transcatheter aortic valve implantation

AIMS

Usage of transcatheter aortic valve implantation (TAVI) for treatment of severe aortic stenosis is increasing across age groups. However, literature on age-specific TAVI outcomes is lacking. The purpose of this study is to assess the risks of procedural complications, mortality, and readmission in patients undergoing TAVI across different age groups.

METHODS AND RESULTS

The Nationwide Readmissions Database was used to identify 84 017 patients undergoing TAVI from 2016 to 2018. Patients were stratified into four age groups: younger than 70, 70-79, 80-89, and older than 90. Complications, mortality, and readmission rates were compared between groups in a proportional hazards regression model. Risk of post-procedural stroke, acute kidney injury, and pacemaker or implantable cardioverter defibrillator implantation increased with incremental age grouping. Compared with patients younger than 70, patients aged 70-79 had no significant difference in mortality, whereas patients aged 80-89 and older than 90 had an increased mortality risk [odds ratio (OR) 1.39, confidence interval (CI) 1.14-1.70, P = 0.001 and OR 1.68, CI 1.33-2.12, P < 0.001, respectively]. Patients aged 80-89 and older than 90 had increased overall readmission compared with patients younger than 70 (HR 1.09, CI 1.03-1.14, P = 0.001 and HR 1.33, CI 1.25-1.41, P < 0.001, respectively). Cardiac readmissions followed the same trend.

CONCLUSION

Patients aged 80-89 and older than 90 undergoing TAVI have increased risk of readmission, complications, and mortality compared with patients younger than 70.

Predictors of 1-Year Mortality in Men Versus Women Undergoing Transfemoral Transcatheter Aortic Valve Implantation

Although gender-related disparities in intermediate-term outcomes have been reported after transcatheter aortic valve implantation (TAVI), disparate predictors of mortality in men and women who underwent TAVI have not been well studied. This prospective institutional registry study included 297 consecutive patients (153 men, 144 women) who underwent transfemoral TAVI from December 2015 to June 2018 at an academic tertiary medical center. Baseline and clinical characteristics, procedural data, and clinical outcomes at 1 year were recorded. Mortality rates at 1 year were 11.1% and 20.3% in women and men, respectively (p = 0.033). Risk-adjusted mortality was significantly higher in men who underwent TAVI than in women (odds ratio [OR] 2.45, 95% confidence interval [CI] 1.24 to 4.87, p = 0.010). Gender-specific risk-adjusted predictors of 1-year mortality post-TAVI included the presence of atrial fibrillation (OR 4.20, 95% CI 1.31 to 13.46, p = 0.016) and peripheral artery disease (OR 4.64, 95% CI 1.04 to 20.71, p = 0.044) in women and presence of chronic obstructive pulmonary disease (OR 3.14, 95% CI 1.13 to 8.72, p = 0.029), higher serum creatinine (OR 1.57, 95% CI 1.15 to 2.15, p = 0.004), and lower body mass index (OR 0.88, 95% CI 0.80 to 0.97, p = 0.008) in men. In this prospective institutional registry of adults who underwent TAVI, risk-adjusted 1-year mortality is significantly lower in women, and disparate predictors of risk-adjusted 1-year mortality exist in men and women.

Machine learning models predict total charges and drivers of cost for transcatheter aortic valve replacement

Background

Given the increasing healthcare costs, there is an interest in developing machine learning (ML) prediction models for estimating hospitalization charges. We use ML algorithms to predict hospitalization charges for patients undergoing transfemoral transcatheter aortic valve replacement (TF-TAVR) utilizing the National Inpatient Sample (NIS) database.

Methods

Patients who underwent TF-TAVR from 2012 to 2016 were included in the study. The primary outcome was total hospitalization charges. Study dataset was divided into 80% training and 20% testing sets. We used following ML regression algorithms: random forest, gradient boosting, k-nearest neighbors (KNN), multi-layer perceptron and linear regression. ML algorithms were built for for 3 stages: Stage 1, including variables that were known pre-procedurally (prior to TF-TAVR); Stage 2, including variables that were known post-procedurally; Stage 3, including length of stay (LOS) in addition to the stage 2 variables.

Results

A total of 18,793 hospitalization for TF-TAVR were analyzed. The mean and median adjusted hospitalization charges were $220,725.2 ($137,675.1) and $187,212.0 ($137,971.0-264,824.8) respectively. Random forest regression algorithm outperformed other ML algorithms at all stages with higher R² score and lower mean absolute error (MAE), root mean squared area (RMSE) and root mean squared logarithmic error (RMSLE) (Stage 1: MAE 79,979.11, R² 0.157; Stage 2: MAE 76,200.09, R² 0.256; Stage 3: MAE 69,350.09, R² 0.453). LOS was the most important predictor of hospitalization charges.

Conclusions

We built ML algorithms that predict hospitalization charges with good accuracy in patients undergoing TF-TAVR at different stages of hospitalization and that can be used by healthcare providers to better understand the drivers of charges.

Temporal Trend, Prevalence, Predictors, and Outcomes of Pericardial Diseases in Patients Undergoing Transcatheter Aortic Valve Repair

Background Pericardial disease (PD) - acute pericarditis (AP) and pericardial effusion (PE) - is a rare complication of transcatheter aortic valve repair (TAVR) although its prevalence, predictors, and outcomes are not well studied. Methods We used the National Inpatient Sample (NIS) database to find patients who received TAVR between 2011 and 2018. TAVR patients were divided into two groups: with and without PD (AP and/or PE). The baseline characteristics between the two groups were compared using the Chi-square test and student t-test. Variables with a p-value of 0.20 or less from the univariate logistic regression were included in the multivariate logistic regression to find independent predictors of PD in TAVR patients. Results Out of 218,340 TAVR hospitalizations, 4323 (1.2%) had a concurrent diagnosis of PD. TAVR patients with PD were older (81 ± 7 vs 80 ± 6 years, p < 0.05), more likely to be females (62 vs 46%, p < 0.001), white (84.2 vs 82.9%, p = 0.83), and had a higher burden of comorbidities (Table 3). TAVR patients with PD had higher in-hospital mortality rate (12.3 vs 1.9%, p < 0.001), mean length of stay (8.4 vs 5.3 days, p < 0.001), and mean total hospital cost ($283,389 vs $224,544, p < 0.001). Age > 75, female sex, atrial fibrillation (Afib), atrial flutter (Aflutter), peripheral vascular disease (PVD), coagulopathy, cirrhosis, malnutrition, percutaneous coronary intervention (PCI), coronary artery bypass grafting (CABG), and pacemaker (PM) implantation were the independent predictors of PD in TAVR patients. Conclusion Older, white females with a higher burden of comorbidities and cardiovascular procedures are at higher risk of pericardial complications of TAVR procedure. Sex-based disparities in the prevalence of PD after TAVR is an area of further research. Careful selection of patients for TAVR is essential to reduce the burden of these complications.

Alarming Increasing Trends in Hospitalizations and Mortality With Heyde's Syndrome: A Nationwide Inpatient Perspective (2007 to 2014)

We studied the trends and outcomes of patients with intestinal angiodysplasia-associated gastrointestinal bleeding (Heyde's syndrome [HS]) with aortic stenosis (AS) who underwent surgical aortic valve replacement (SAVR) versus transcatheter aortic valve implantation (TAVI). The National Inpatient Sample (2007 to 2014) and International Classification of Diseases, Ninth Revision, Clinical Modification codes were used to identify HS hospitalizations, pertinent co-morbidities, and outcomes of SAVR versus TAVI from 2011 to 2014. The incidence of HS with AS was 3.1%. The trends in hospitalizations and all-cause inpatient mortality showed relative surges of 29.16% (from 48 to 62 per 100,000) and 22.7% (from 3.7 to 4.54 per 100,000) from 2007 to 2014. HS patients were older (mean age ∼80 vs 77 years) females (54.3% vs 52.2%) compared with AS without HS. The all-cause mortality (6.9% vs 4.1%), length of stay (LOS) (∼7.0 vs 5.8 days), and hospitalization charges ($58,519.31 vs $57,598.67) were higher in HS (p<0.001). No differences were reported in all-cause mortality and hospital charges in HS patients who underwent either SAVR or TAVI. However, the TAVI cohort showed lower rates of stroke (1.7% vs 10.0%) and blood transfusion (1.7% vs 11.7%), a shorter LOS (18.3 vs 23.9 days; p<0.001), and more routine discharges (21.7% vs 14.8%, p = 0.01). An older age, male gender, Asian race, congestive heart failure, coagulopathy, fluid and/or electrolytes disorders, chronic pulmonary disease, and renal failure raised the odds of mortality in HS patients. In conclusion, we observed increasing rates of hospitalizations with HS and higher inpatient mortality from 2007 to 2014. The HS patients who underwent TAVI had fewer complications without any difference in the all-cause mortality compared with SAVR.