Creating a Machine Learning Tool to Predict Acute Kidney Injury in African American Hospitalized Patients.

Machine learning (ML) has been used to build high-performance prediction models in the past without considering race. African Americans (AA) are vulnerable to acute kidney injury (AKI) at a higher eGFR level than Caucasians. AKI increases mortality, length of hospital stays, and incidence of chronic kidney disease (CKD) and end-stage renal disease (ESRD). We aimed to establish an ML-based prediction model for the early identification of AKI in hospitalized AA patients by utilizing patient-specific factors in an ML algorithm to create a predictor tool. This is a single-center, retrospective chart review. We included participants 18 years or older and admitted to an urban academic medical center. Two hundred participants were included in the study. Our ML training set provided a result of 77% accuracy for the prediction of AKI given the attributes collected. For the test set, AKI was accurately predicted in 71% of participants. The clinical significance of this model can lead to great advancements in the care of AA patients and provide practitioners avenues to optimize their therapy of choice in AAs when given AKI risk ahead of time.

Antiviral Dosing Modification for Coronavirus Disease 2019-Infected Patients Receiving Extracorporeal Therapy.

Previous literature regarding coronavirus disease 2019 outlined a presence of organ dysfunction including acute respiratory distress syndrome and acute kidney injury that are linked to mortality. Several patients require extracorporeal therapy. This review aims to gather available published resources including physicochemical and pharmacokinetic properties and suggests antiviral drug dosing adaptation for coronavirus disease 2019-infected critically ill patients receiving extracorporeal therapy. A literature search was performed using PubMed, clinical trial registries, and bibliographic review of textbooks and review articles. Unfortunately, no standard of pharmacologic management and recommendations of drug dosing for coronavirus disease 2019 infection for critically ill patients receiving extracorporeal therapy exist due to the limited data on pharmacokinetic and clinical studies. All available extracted data were analyzed to suggest the appropriate drug dosing adjustment. Antiviral drug dosing adjustments for critically ill patients receiving extracorporeal membrane oxygenation and continuous renal replacement therapy are presented in this review. Considering pathophysiologic changes, drug properties, and extracorporeal modalities, applying our suggestions is recommended.