Trends in surgical ablation at the time of cardiac surgery among patients with atrial fibrillationCentral MessagePerspective

Background: The 2017 American Association for Thoracic Surgery (AATS) guidelines support surgical ablation in patients undergoing cardiac surgery with preoperative atrial fibrillation (AF) owing to a reduction in early mortality and improved overall safety. We explored practice patterns changes and outcomes in patients undergoing concomitant surgical ablation following the guideline change. Methods: We identified 19,246 patients with preoperative AF who underwent cardiac surgery between 2016 and 2019 from the Florida and Maryland State Inpatient Databases. Rates of surgical ablation by procedure type were temporally trended across years. Secondary outcomes included complications, inpatient mortality, and hospital readmissions. Using multivariable logistic regression, we identified patient variables associated with concomitant surgical ablation. Results: A total of 2738 patients (14.3%) with AF underwent a concomitant surgical ablation. The rate of surgical ablation increased from 2.1% to 17.4% (P < .001) from 2016 to 2017 but remained unchanged thereafter. Postoperative mortality was lower in the surgical ablation cohort (2.7% vs 3.7%; P = .006), although with a higher rate of pacemaker insertion (11.8% vs 7.2%; P < .0001). Patients with a high-risk Elixhauser score (odds ratio [OR], 0.83; 95% confidence interval [CI], 0.73-0.95), lower income (OR, 0.66; 95% CI, 0.57-0.75), or African American or Hispanic race/ethnicity (OR, 0.80; 95% CI, 0.67-0.96 and OR, 0.82; 95% CI, 0.71-0.96, respectively) had lower odds of undergoing concomitant surgical ablation. Conclusions: Despite a class I-2a recommendation by the AATS, surgical ablation continues to be underutilized in clinical practice, especially in patients with high-risk comorbidities, with lower incomes, or from minority populations. Surgeons should be mindful of guideline-directed AF management in these vulnerable populations

Machine learning using institution-specific multi-modal electronic health records improves mortality risk prediction for cardiac surgery patientsCentral MessagePerspective

Background: The Society of Thoracic Surgeons risk scores are widely used to assess risk of morbidity and mortality in specific cardiac surgeries but may not perform optimally in all patients. In a cohort of patients undergoing cardiac surgery, we developed a data-driven, institution-specific machine learning–based model inferred from multi-modal electronic health records and compared the performance with the Society of Thoracic Surgeons models. Methods: All adult patients undergoing cardiac surgery between 2011 and 2016 were included. Routine electronic health record administrative, demographic, clinical, hemodynamic, laboratory, pharmacological, and procedural data features were extracted. The outcome was postoperative mortality. The database was randomly split into training (development) and test (evaluation) cohorts. Models developed using 4 classification algorithms were compared using 6 evaluation metrics. The performance of the final model was compared with the Society of Thoracic Surgeons models for 7 index surgical procedures. Results: A total of 6392 patients were included and described by 4016 features. Overall mortality was 3.0% (n = 193). The XGBoost algorithm using only features with no missing data (336 features) yielded the best-performing predictor. When applied to the test set, the predictor performed well (F-measure = 0.775; precision = 0.756; recall = 0.795; accuracy = 0.986; area under the receiver operating characteristic curve = 0.978; area under the precision-recall curve = 0.804). eXtreme Gradient Boosting consistently demonstrated improved performance over the Society of Thoracic Surgeons models when evaluated on index procedures within the test set. Conclusions: Machine learning models using institution-specific multi-modal electronic health records may improve performance in predicting mortality for individual patients undergoing cardiac surgery compared with the standard-of-care, population-derived Society of Thoracic Surgeons models. Institution-specific models may provide insights complementary to population-derived risk predictions to aid patient-level decision making

Association of timing of percutaneous left ventricular assist device insertion with outcomes in patients undergoing cardiac surgeryCentral MessagePerspective

Objectives: The aim of this study was to explore the associations between percutaneous ventricular assist device (pVAD) insertion timing relative to cardiac surgery and patient outcomes. Methods: The Nationwide Inpatient Sample was queried for patients undergoing cardiac surgery and pVAD insertion in the same admission from 2016 to 2019. Patients were stratified by timing of pVAD insertion. Preoperative characteristics, postoperative complications, and mortality were compared among groups. Results: Overall, 3695 patients underwent cardiac surgery and pVAD insertion during the same hospitalization (pre: 1130, intra: 1690, and post: 875). The distribution of cardiac surgery procedures was similar across groups. Median Elixhauser Comorbidity Index was 13 for pre-, 15 for intra-, and 17 for postoperative pVAD patients (P = .021). Patients who received a postoperative pVAD were associated with increased mortality (pre: 18%, intra: 39%, and post: 54%; P < .01). Increased complication rates were also associated with postoperative pVAD insertion (pre: 61%, intra: 55%, and post: 75%; P < .01). Preoperative pVAD insertion was associated with increase rates of sepsis (pre: 18%, intra: 9.8%, and post: 17%; P = .01) and pneumonia (pre: 38%, intra: 23%, and post: 31%; P < .01). Postoperative pVAD insertion was associated with increased rates of gastrointestinal bleeding (pre: 2.2%, intra: 3.0%, and post: 7.4%; P = .01), renal failure (pre: 10%, intra: 9.2%, and post: 17%; P = .01), and prolonged ventilation (pre: 44%, intra: 41%, and post: 54%; P = .02). Conclusions: Postoperative pVAD insertion following cardiac surgery was associated with increased complications and mortality compared with preoperative or intraoperative insertion. Further studies should explore optimal utilization and timing of pVAD insertion in patients undergoing cardiac surgery