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Results Urine volume alone was the strongest predictor of KRU. The model that included 24-hour urine volume with common clinical data had a high diagnostic accuracy for KRU 2.5 mL/min (area under the curve 0.91 in both development and bootstrap validation) and R2 of 0.56 with outcome as a continuous KRU value. Our model that did not use urine volume performed less well (e.g., AUC 0.75). Analyses of follow-up urine collections in these same subjects yielded comparable or improved performance. Limitations Data were retrospective from

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