Predictors of Hyperkalemia and Hypokalemia in Individuals with Diabetes: a Classification and Regression Tree Analysis-Reference-Cited by-同舟云学术

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

Published:2020-04-16 Issue:8 Volume:35 Page:2321-2328
ISSN:0884-8734
Container-title:Journal of General Internal Medicine
language:en
Short-container-title:J GEN INTERN MED

Author:

Schroeder Emily B.,Adams John L.,Chonchol Michel,Nichols Gregory A.,O’Connor Patrick J.,Powers J. David,Schmittdiel Julie A.,Shetterly Susan M.,Steiner John F.

Funder

National Institutes of Health

Agency for Healthcare Research and Quality

Publisher

Springer Science and Business Media LLC

Subject

Internal Medicine

Link

https://link.springer.com/content/pdf/10.1007/s11606-020-05799-x.pdf

Reference27 articles.

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2. Chang AR, Sang Y, Leddy J, et al. Antihypertensive medications and the prevalence of hyperkalemia in a large health system. Hypertension. 2016;67:1181–8.

3. Bowling CB, Pitt B, Ahmed MI, et al. Hypokalemia and outcomes in patients with chronic heart failure and chronic kidney disease: findings from propensity-matched studies. Circ Heart Fail. 2010;3:253–60.

4. Hayes J, Kalantar-Zadeh K, Lu JL, Turban S, Anderson JE, Kovesdy CP. Association of hypo- and hyperkalemia with disease progression and mortality in males with chronic kidney disease: the role of race. Nephron Clin Pract. 2012;120:c8–16.

5. Collins AJ, Pitt B, Reaven N, et al. Association of serum potassium with all-cause mortality in patients with and without heart failure, chronic kidney disease, and/or diabetes. Am J Nephrol. 2017;46:213–21.

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