Tubular Injury Biomarkers to Predict Chronic Kidney Disease and Hypertension at 3-Months Post-Cisplatin in Children.

BACKGROUND: Urine kidney injury biomarkers measured during cisplatin therapy may identify patients at risk for adverse subsequent kidney outcomes. We examined relationships between tubular injury biomarkers collected early (early visit [EV]: first or second cisplatin cycle) and late (late visit [LV]: last or second-last cisplatin cycle) during cisplatin therapy, with 3-month post-cisplatin chronic kidney disease (CKD) and hypertension.

METHODS: We analyzed data from the Applying Biomarkers to Minimize Long-Term Effects of Childhood/Adolescent Cancer Treatment Nephrotoxicity Study: twelve-center prospective cohort study of 159 children receiving cisplatin. We measured urine neutrophil gelatinase-associated lipocalin (NGAL)/creatinine, kidney injury molecule-1 (KIM-1)/creatinine, tissue inhibitor of metalloproteinase-2 (TIMP-2), and insulin-like growth factor-binding protein 7 (IGFBP-7) (TIMP-2 and IGFBP-7 expressed as their product, ng/ml^2/1000) at an EV and LV during cisplatin therapy with pre-infusion, post-infusion, and hospital discharge sampling. Area under the curve (AUC) was calculated for biomarkers to detect 3-month post-cisplatin CKD (KDIGO guidelines: low estimated glomerular filtration rate (eGFR) or elevated uACR for age) and hypertension (three blood pressures; per American Academy of Pediatrics guidelines).

RESULTS: At median follow-up of 90 days, 52/118 (44%) and 17/125 (14%) developed CKD and hypertension, respectively. Biomarker prediction for 3-month CKD was low to modest; NGAL combined with KIM-1 at EV discharge yielded the highest AUC (0.67, 95% CI 0.57-0.77). Biomarker prediction of 3-month hypertension was stronger, but modest; the highest AUC was from combining EV pre-infusion NGAL and TIMP-2*IGFBP-7 (0.71, 95% CI 0.62-0.80). When EV pre-infusion NGAL and TIMP-2*IGFBP-7 were added to the 3-month hypertension clinical predictive model, AUCs increased from 0.81 (0.72-0.91) to 0.89 (0.83-0.95) (p<0.05).

CONCLUSIONS: Tubular injury biomarkers we studied were individually not strong predictors of 3-month post-cisplatin kidney outcomes. Adding biomarkers to existing clinical prediction models may help predict post-therapy hypertension and identify higher kidney-risk patients.