This systematic review sought to investigate the current evidence regarding surgical management of primary cardiac tumors in children and adolescents. Twenty-eight studies were deemed eligible, reporting on 745 pediatric patients. Rhabdomyoma was the most prevalent histologic type and echocardiography was the most common diagnostic tool. Cumulative 30-day mortality rate was 6.7%. Rhabdomyomas and teratomas had the highest 30-day mortality. The higher percentage of tumor relapse was noted for myxoma and teratoma. Although cardiac tumors are rare, their atypical clinical presentation, potential for recurrence, and the poor prognosis associated with recurrence elucidate the need for reliable diagnostic and therapeutic management.
We sought to develop and validate machine learning (ML) models to increase the predictive accuracy of mortality after heart transplantation (HT).
Methods and results:We included adult HT recipients from the United Network for Organ Sharing (UNOS) database between 2010 and 2018 using solely pre-transplant variables. The study cohort comprised 18 625 patients (53 ± 13 years, 73% males) and was randomly split into a derivation and a validation cohort with a 3:1 ratio. At 1-year after HT, there were 2334 (12.5%) deaths. Out of a total of 134 pre-transplant variables, 39 were selected as highly predictive of 1-year mortality via feature selection algorithm and were used to train five ML models. AUC for the prediction of 1-year survival was .689, .642, .649, .637, .526 for the Adaboost, Logistic Regression, Decision Tree, Support Vector Machine, and K-nearest neighbor models, respectively, whereas the Index for Mortality Prediction after Cardiac Transplantation (IMPACT) score had an AUC of .569. Local interpretable model-agnostic explanations (LIME) analysis was used in the best performing model to identify the relative impact of key predictors.ML models for 3-and 5-year survival as well as acute rejection were also developed in a secondary analysis and yielded AUCs of .629, .609, and .610 using 27, 31, and 91 selected variables respectively.
Conclusion:Machine learning models showed good predictive accuracy of outcomes after heart transplantation.
Preoperative selective endovascular embolization in patients with Shamblin II and Shamblin III CBTs may be beneficial when competently performed by interventional physicians proficient in neurovascular microcatheterization/embolization procedures.
Background
There is a rising trend for transcatheter aortic valve implantation (TAVI) in bicuspid aortic stenosis patients. Data on the use of self‐expandable (SEV) vs. balloon‐expandable (BEV) valves in these patients are scarce. Therefore, we systematically compared clinical outcomes in bicuspid aortic stenosis patients treated with SEV and BEV.
Methods
Data were extracted from PubMed/MEDLINE, EMBASE, CENTRAL/CCTR, http://clinicaltrials.gov, SciELO, LILACS, Google Scholar and reference lists of relevant articles. Eight studies published from 2013 to 2020 including a total of 1,080 patients (BEV: n = 620; SEV: n = 460) were selected. Primary endpoints were procedural, 30‐day and 1‐year mortality. Secondary endpoints were new pacemaker implantation, annular rupture, coronary obstruction, moderate‐to‐severe paravalvular leak, need of second valve, stroke and acute kidney injury.
Results
We found no statistically significant difference in mortality between patients treated with BEV vs. SEV during index procedure, at 30 days and at 1 year. BEVs showed a statistically significant higher risk of annulus rupture (2.5%) in comparison with SEV (0%) (OR 5.81 [95% CI, 3.78–8.92], p < .001). New generation BEVs were also associated with significantly less paravalvular leak when compared to new generation SEVs (OR 0.08 [95% CI, 0.02–0.35], p = .001).
Conclusions
This meta‐analysis of observational studies of TAVI for bicuspid valves, showed no difference in short‐ and mid‐term TAVI mortality with BEVs and SEVs. BEVs presented a higher risk of annular rupture in comparison with SEV.
The benefit of blood cardioplegia (BCP) compared to crystalloid cardioplegia (CCP) is still debatable. Our aim was to systematically review and synthesize all available evidence on the use of BCP and CCP to assess if any modality provides superior outcomes in pediatric cardiac surgery. A systematic literature search of the PubMed and Cochrane databases was performed with respect to the PRISMA statement (end-of-search date: January 30th, 2017). We extracted data on study design, demographics, cardioplegia regimens, and perioperative outcomes as well as relevant biochemical markers, namely cardiac troponin I (cTnI), lactate, and ATP levels at baseline, after reperfusion and postoperatively at 1, 4, 12, and 24 h as applicable. Data were appropriately pooled using random and mixed effects models. Our systematic review includes 56 studies reporting on a total of 7711 pediatric patients. A meta-analysis of the 10 eligible studies directly comparing BCP (n = 416) to CCP (n = 281) was also performed. There was no significant difference between the two groups with regard to cTnI and Lac at any measured time point, ATP levels after reperfusion, length of intensive care unit stay (WMD: -0.08, 95% CI -1.52 to 1.36), length of hospital stay (WMD: 0.13, 95% CI -0.85 to 1.12), and 30-day mortality (OR 1.11, 95% CI 0.43-2.88). Only cTnI levels at 4 h postoperatively were significantly lower with BCP (WMD: -1.62, 95% CI -2.07 to -1.18). Based on the available data, neither cardioplegia modality seems to be superior in terms of clinical outcomes, ischemia severity, and overall functional recovery.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.