Predictors of Hyperkalemia and Hypokalemia in Individuals with Diabetes: a Classification and Regression Tree Analysis
| Autor: | Gregory A. Nichols, John F. Steiner, John L. Adams, Susan M. Shetterly, Emily B. Schroeder, Julie A. Schmittdiel, Michel Chonchol, J. David Powers, Patrick J. O'Connor |
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| Rok vydání: | 2020 |
| Předmět: |
Adult
Cart medicine.medical_specialty endocrine system diseases Hyperkalemia Potassium chemistry.chemical_element Hypokalemia urologic and male genital diseases 01 natural sciences 03 medical and health sciences 0302 clinical medicine Internal medicine Diabetes mellitus Diabetes Mellitus Internal Medicine medicine Humans 030212 general & internal medicine 0101 mathematics Retrospective Studies Original Research Univariate analysis business.industry Regression tree analysis 010102 general mathematics nutritional and metabolic diseases Retrospective cohort study medicine.disease chemistry medicine.symptom business |
| Zdroj: | J Gen Intern Med |
| ISSN: | 1525-1497 0884-8734 |
| DOI: | 10.1007/s11606-020-05799-x |
| Popis: | 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 |
| Databáze: | OpenAIRE |
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