We used linear mixed effect models to estimate the longitudinal changes (i.e., slopes) in biomarkers of kidney injury (urine albumin, kidney injury molecule-1 [KIM-1], and neutrophil gelatinase–associated lipocalin [NGAL]), inflammation (urine IL-18, monocyte chemoattractant protein-1 [MCP-1], chitinase 3-like 1 [YKL-40], and plasma soluble TNF receptor 1 and 2 [TNFR1 and TNFR2]), and tubular health (urine uromodulin [UMOD]) from the hospitalization time point and over the first year of follow-up. The gene discussed is UMOD; the disease is injury.