ArticleRenal failure2025
Simple methods for estimating the maximum 24-hour urinary potassium excretion in kidney failure without replacement therapy patients.
Article in Renal failure, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
backgroundAdjusting dietary potassium intake based on 24-hour urinary potassium excretion is the primary method of preventing hyperkalemia. Currently, there is no accurate and convenient method for calculating maximum 24-hour urinary potassium excretion in kidney failure without replacement therapy patients. We developed and validated two new models to assess the upper limit of dietary potassium consumption in this high-risk cohort, using the maximum 24-hour urinary potassium excretion as a proxy.
methodsThe data of 145 kidney failure without replacement therapy patients with hyperkalemia was gathered. The prediction models were developed using multilayer perceptron and stepwise multiple linear regression utilizing a stochastic sample of 102 (70%) patients. Within the rest 43 (30%), the performance of various models was independently verified.
resultsThe two new models had low bias (-0.02 and -0.57 mmol/24h vs 66.74 and 79.91 mmol/24h, mean absolute error = 5.57 and 5.22 vs 68.95 and 81.37), high accuracy (percentage of calculated values within_±30% of measured values = 83.45% and 84.14% vs 0.00% and 0.00%), high correlation with measured values (Spearman correlation coefficient = 0.72 and 0.72 vs 0.46 and 0.45, intraclass correlation coefficient = 0.67 and 0.70 vs 0.03 and 0.03) and high agreement with 24-hour urine potassium measurements (95% limits of agreement of Bland-Altman plot = 13.70 and 13.20 mmol/24h vs 113.8 and 191.3 mmol/24h).
conclusionThese new models show high clinical application value for the calculation of maximum 24-hour urinary potassium excretion in kidney failure without replacement therapy patients with hyperkalemia.
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