Approaches to Predicting Outcomes in Patients with Acute Kidney Injury.

ABSTRACT: Despite recognition that Acute Kidney Injury (AKI) leads to substantial increases in morbidity, mortality, and length of stay, accurate prognostication of these clinical events remains difficult. It remains unclear which approaches to variable selection and model building are most robust. We used data from a randomized trial of AKI alerting to develop time-updated prognostic models using stepwise regression compared to more advanced variable selection techniques. We randomly split data into training and validation cohorts. Outcomes of interest were death within 7 days, dialysis within 7 days, and length of stay. Data elements eligible for model-building included lab values, medications and dosages, procedures, and demographics. We assessed model discrimination using the area under the rece

SUBMITTER: Saly D 

PROVIDER: S-EPMC5266278 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature