Unsupervised machine learning analysis to identify patterns of ICU medication use for fluid overload prediction.

Background: Fluid overload (FO) in the intensive care unit (ICU) is common, serious, and may be preventable. Intravenous medications (including administered volume) are a primary cause for FO but are challenging to evaluate as a FO predictor given the high frequency and time-dependency of their use and other factors affecting FO. We sought to employ unsupervised machine learning methods to uncover medication administration patterns correlating with FO.

Iatrogenic hyperchloremia: An overview in hospitalized patients for pharmacists.

Purpose: The purpose of this therapeutic update is to provide pharmacists with a general overview of the pathophysiology of hyperchloremia and describe strategies to help prevent development of this electrolyte abnormality in hospitalized patients.

Summary: Hyperchloremia is an electrolyte abnormality associated with an increased incidence of acute kidney injury and metabolic acidosis. Intravenous (IV) fluids utilized for volume resuscitation, medication diluents, and total parental nutrition all may contribute to the development of hyperchloremia.