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Dataset Information

Predictors of Hyperkalemia and Hypokalemia in Individuals with Diabetes: a Classification and Regression Tree Analysis.


ABSTRACT:

Background

Both hyperkalemia and hypokalemia can lead to cardiac arrhythmias and are associated with increased mortality. Information on the predictors of potassium in individuals with diabetes in routine clinical practice is lacking.

Objective

To identify predictors of hyperkalemia and hypokalemia in adults with diabetes.

Design

Retrospective cohort study, with classification and regression tree (CART) analysis.

Participants

321,856 individuals with diabetes enrolled in four large integrated health care systems from 2012 to 2013.

Main measures

We used a single serum potassium result collected in 2012 or 2013. Hyperkalemia was defined as a serum potassium ≥ 5.5 mEq/L and hypokalemia as < 3.5 mEq/L. Predictors included demographic factors, laboratory meas

SUBMITTER: Schroeder EB 

PROVIDER: S-EPMC7403274 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature