Comparison of Outcomes of Transcatheter Mitral Valve Repair (MitraClip) in Patients <80 Years Versus ≥80 Years

Machine learning vs. conventional methods for prediction of 30-day readmission following percutaneous mitral edge-to-edge repair

BACKGROUND

Identifying predictors of readmissions after mitral valve transcatheter edge-to-edge repair (MV-TEER) is essential for risk stratification and optimization of clinical outcomes.

AIMS

We investigated the performance of machine learning [ML] algorithms vs. logistic regression in predicting readmissions after MV-TEER.

METHODS

We utilized the National-Readmission-Database to identify patients who underwent MV-TEER between 2015 and 2018. The database was randomly split into training (70 %) and testing (30 %) sets. Lasso regression was used to remove non-informative variables and rank informative ones. The top 50 informative predictors were tested using 4 ML models: ML-logistic regression [LR], Naive Bayes [NB], random forest [RF], and artificial neural network [ANN]/For comparison, we used a traditional statistical method (principal component analysis logistic regression PCA-LR).

RESULTS

A total of 9425 index hospitalizations for MV-TEER were included. Overall, the 30-day readmission rate was 14.6 %, and heart failure was the most common cause of readmission (32 %). The readmission cohort had a higher burden of comorbidities (median Elixhauser score 5 vs. 3) and frailty score (3.7 vs. 2.9), longer hospital stays (3 vs. 2 days), and higher rates of non-home discharges (17.4 % vs. 8.5 %). The traditional PCA-LR model yielded a modest predictive value (area under the curve [AUC] 0.615 [0.587-0.644]). Two ML algorithms demonstrated superior performance than the traditional PCA-LR model; ML-LR (AUC 0.692 [0.667-0.717]), and NB (AUC 0.724 [0.700-0.748]). RF (AUC 0.62 [0.592-0.677]) and ANN (0.65 [0.623-0.677]) had modest performance.

CONCLUSION

Machine learning algorithms may provide a useful tool for predicting readmissions after MV-TEER using administrative databases.

Derivation and Validation of Risk Prediction Model for 30-Day Readmissions Following Transcatheter Mitral Valve Repair

Transcatheter mitral valve repair (TMVr) has shown to reduce heart failure (HF) rehospitalization and all cause mortality. However, the 30-day all-cause readmission remains high (∼15%) after TMVr. Therefore, we sought to develop and validate a 30-day readmission risk calculator for TMVr. Nationwide Readmission Database from January 2014 to December 2017 was utilized. A linear calculator was developed to determine the probability for 30-day readmission. Internal calibration with bootstrapped calculations was conducted to assess model accuracy. The root mean square error and mean absolute error were calculated to determine model performance. Of 8339 patients who underwent TMVr, 1246 (14.2%) were readmitted within 30 days. The final 30-day readmission risk prediction tool included the following variables: Heart failure, Atrial Fibrillation, Anemia, length of stay ≥4 days, Acute kidney injury (AKI), and Non-Home discharge, Non-Elective admission and Bleeding/Transfusion. The c-statistic of the prediction model was 0.63. The validation c-statistic for readmission risk tool was 0.628. On internal calibration, our tool was extremely accurate in predicting readmissions up to 20%. A simple and easy to use risk prediction tool identifies TMVr patients at increased risk of 30-day readmissions. The tool can guide in optimal discharge planning and reduce resource utilization.

Transcatheter mitral valve repair is feasible and effective in oldest-old patients: results from real-world cohort

OBJECTIVE

To evaluate the safety and efficacy of transcatheter mitral valve repair (TMVR) using MitraClip^® devices in oldest-old patients compared to younger patients.

METHODS

The study retrospectively included 340 consecutive patients who underwent TMVR. Patients were classified according to age into the oldest-old (age ≥ 85 years) patient group or the younger (age < 85 years) patient group. Immediate results of the procedure, intrahospital outcomes and one-year outcomes were compared.

RESULTS

Oldest-old patients represented 15.9% (n = 54) of all patients. Procedure success was comparable for the oldest-old patient group and the younger patient group (92.6% vs. 95.8%, P = 0.30), and there was no difference in intrahospital mortality (9.2% vs. 4.2%, P = 0.12). At a one-year follow-up (interquartile range: 6-16 months), there was no significant difference in rehospitalization due to decompensated heart failure (25.5% vs. 34.3%, P = 0.24) or all-cause mortality (29.8% vs. 22.2%, P = 0.26) between the oldest-old patient group and the younger patient group. In patients with available echocardiographic follow-up, severity of residual mitral regurgitation was also comparable between the oldest-old patient group and the younger patient group.

CONCLUSIONS

TMVR seems to be feasible and effective in oldest-old patients and should be considered for oldest-old patients presenting with symptomatic severe mitral regurgitation and high surgical risk.

Mortality and morbidity of surgical and transcatheter mitral valve repair in octogenarians: A systematic review

BACKGROUND

Valvular heart disease (VHD) is a prominent problem in healthcare today with mitral regurgitation (MR) being the leading cause of VHD in the elderly population. While mitral valve repair (MVr) surgery is one of the only options for the end-stage disease, octogenarians are often denied MVr due to concerns with operative mortality and postoperative morbidity. To provide information on this underrepresented group of surgical patients, a systematic approach was taken to review the mortality and morbidity rates of octogenarians who received MVr.

METHODS

Pubmed and Medline were searched for articles containing outcomes of octogenarians receiving surgical mitral valve repair (SMVr) or transcatheter mitral valve repair (TMVr) published after 2000. Ten articles met the inclusion criteria for a total of 7968 patients included in the analysis using Microsoft Excel, Version 2105.

RESULTS

Short-term mortality rates for SMVr and TMVr were 2.6% and 1.4% for in-hospital, and 7.8% and 3.3% for 30 days, respectively. The average incidence of stroke, acute kidney injury, infection, and major bleeding for SMVr were 3.2%, 11.2%, 7.7%, and 24%, respectively, and 0.3%, 6.7%, 2.7%, and 7.9% for TMVr, respectively.

CONCLUSION

Octogenarians receiving SMVr or TMVr experienced similar rates of short-term mortality and morbidity as younger populations, and when considering life expectancy, midterm mortality was also similar. With these results, denying octogenarians MVr operations based on age alone should be reconsidered. Depending on risk factors and comorbidities, either SMVr or TMVr is a viable and relatively safe option for octogenarians with severe MR.

Characteristics and outcomes of MitraClip in octogenarians: Evidence from 1853 patients in the GIOTTO registry

BACKGROUND

We aimed at appraising features and outcomes of patients undergoing MitraClip treatment according to their age.

METHODS

We queried the prospective GIse registry Of Transcatheter treatment of mitral valve regurgitaTiOn (GIOTTO) multicenter registry dataset including 19 Italian centers performing MitraClip implantation, distinguishing patients <80 vs ≥80 years of age.

RESULTS

In total, 1853 patients were included, 751 (40.5%) octogenarians and 1102 (59.5%) non-octogenarians. Several baseline and procedural features were significantly different, including gender, regurgitation etiology, and functional class (all p < 0.05). In-hospital outcomes were similarly satisfactory, with death occurring in 18 (2.4%) and 32 (2.9%, p = 0.561), respectively, and improvement in mitral regurgitation in 732 (97.4%) and 1078 (97.8%, p = 0.746), respectively. After a mean follow-up of 15 months, death occurred in 152 (20.2%) and 264 (24.0%), and cardiac death in 85 (11.3%) and 138 (12.5%), respectively (both p > 0.05). Rehospitalization for heart failure and the composite of cardiac death or rehospitalization for heart failure were significantly less common in octogenarians: 63 (8.4%) vs 156 (14.2%, p < 0.001), and 125 (16.6%) vs 242 (22.0%, p = 0.005), respectively. Multivariable analysis showed that these differences were largely due to confounding features, as after adjustment for baseline, clinical and imaging characteristics no significant difference was found for the above clinical endpoints.

CONCLUSIONS

Transcatheter mitral valve repair with the MitraClip in carefully selected octogenarians appears feasible and safe, and is associated with favorable clinical outcomes at mid-term follow-up.

Home health care utilization trend, predictors, and association with early rehospitalization following endovascular transcatheter aortic valve replacement

BACKGROUND/PURPOSE

Home healthcare (HHC) utilization is associated with higher rates of rehospitalization in patients with heart failure and transcatheter mitral valve repair. This study sought to assess the utilization, predictors, and the association of HHC with 30-day readmission in patients undergoing transcatheter aortic valve replacement (TAVR).

METHODS/MATERIALS

We queried the Nationwide Readmission Database from January 2012 to December 2017 for TAVR discharges with and without HHC referral. Using multivariate analysis, we identified predictors of HHC utilization, and its association with outcomes.

RESULTS

Of 60,950 TAVR discharges, 21,724 (35.7%) had HHC referral. On multivariable analysis, female sex (OR, 1.34; 95% CI, 1.29-1.40), non-elective admission (OR, 1.49; 95% CI, 1.42-1.56), diabetes mellitus (OR, 1.09; 95% CI, 1.05-1.13), prior stroke (OR, 1.06; 95% CI, 1.01-1.12), anemia (OR, 1.16; 95% CI, 1.11-1.21), and in-hospital complications including cardiogenic shock (OR, 1.37; 95% CI, 1.16-1.50), cardiac arrest (OR, 1.22; 95% CI, 1.00-1.50), stroke (OR, 2.62; 95% CI, 2.20-3.18), and new Permanent pacemaker (OR, 1.49; 95% CI, 1.41-1.58) were identified as independent predictors of HHC referral. HHC utilization was associated with longer median length of stay (4 days vs. 2 days, P < 0.001), higher rate of 30-day all-cause (15.5% vs. 10.6%, P < 0.001) and heart failure (2.1%vs. 1.1%, P < 0.001) readmission rates compared to those without HHC.

CONCLUSIONS

Our study identified a vulnerable group of TAVR patients that are at higher risk of 30-day readmission. Evidence-based interventions proven effective in reducing the burden of readmissions should be pursed in these patients to improve outcomes and quality of life.