ABSTRACT
OBJECTIVES: We sought to derive and validate a model to predict inpatient mortality after veno-arterial extracorporeal life support (VA-ECLS) based on readily available, precannulation clinical data. BACKGROUND: Refractory cardiogenic shock supported by VA-ECLS is associated with high morbidity and mortality. METHODS: VA-ECLS cases at our institution from January 2014 through July 2019 were retrospectively reviewed. Exclusion criteria were cannulation: (1) at another institution; (2) for primary surgical indication; or (3) for extracorporeal cardiopulmonary resuscitation. Multivariable logistic regression compared those with and without inpatient mortality. Multiple imputation was performed and optimism-adjusted area under the curve (oAUC) values were computed. RESULTS: VA-ECLS cases from August 2019 through November 2020 were identified as a validation cohort. In the derivation cohort (n = 135), the final model included Lactate (mmol/L), hemoglobin (g/dl; Anemia), Coma (Glasgow Coma Scale [GCS] < 8) and resusciTATEd cardiac arrest (LACTATE score; oAUC = 0.760). In the validation cohort (n = 30, LACTATE showed similar predictability [AUC = 0.710]). A simplified (LACT-8) score was derived by dichotomizing lactate (>8) and hemoglobin (<8) and summing together the number of components for each patient. LACT-8 performed similarly (derivation, oAUC = 0.724; validation, AUC = 0.725). In the derivation cohort, both scores outperformed SAVE (oAUC = 0.568) and SOFA (oAUC = 0.699) scores. A LACT-8 ≥ 3 had a specificity for mortality of 97.9% and 92.9%, in the derivation and validation cohorts, respectively. CONCLUSIONS: The LACT-8 score can predict inpatient mortality prior to before cannulation for VA-ECLS. LACT-8 can be implemented utilizing clinical data without the need for an online calculator.
