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Kidney Week

Abstract: FR-PO0388

Longitudinal Plasma and Urinary Biomarkers for Predicting Acute Kidney Disease in Patients with Sepsis-Associated AKI: A Prospective Cohort Study

Session Information

Category: Acute Kidney Injury

  • 102 AKI: Clinical, Outcomes, and Trials

Authors

  • Lee, Ha-Eun, Presbyterian Medical Center, Jeonju-si, Jeollabuk-do , Korea (the Republic of)
  • Jeong, Seung Hee, Presbyterian Medical Center, Jeonju-si, Jeollabuk-do , Korea (the Republic of)
  • Cho, A young, Presbyterian Medical Center, Jeonju-si, Jeollabuk-do , Korea (the Republic of)
  • Oh, Ju hwan, Presbyterian Medical Center, Jeonju-si, Jeollabuk-do , Korea (the Republic of)
  • Sun, In O, Presbyterian Medical Center, Jeonju-si, Jeollabuk-do , Korea (the Republic of)
  • Shin, Kwang-Hee, Kyungpook National University, Daegu, Korea (the Republic of)
  • Kang, Kyung Pyo, Jeonbuk National University, Jeonju-si, Jeollabuk-do , Korea (the Republic of)
Background

Sepsis-associated acute kidney injury (SA-AKI) frequently progresses to acute kidney disease (AKD), a critical transition phase toward chronic kidney disease (CKD). As validated predictors for the transition from SA-AKI to AKD remain limited, we evaluated longitudinal plasma and urine biomarkers for predicting AKD following SA-AKI.

Methods

This prospective study included 50 adults with SA-AKI (defined by Sepsis-3 and Kidney Disease: Improving Global Outcomes criteria). Patients with end-stage kidney disease, prior kidney transplantation, or baseline estimated glomerular filtration rate < 45 mL/min/1.73m2 were excluded. Plasma and urine samples were collected at 0, 6, and 48 hours after diagnosis. The primary outcome was AKD development at Day 7, defined by the 16th Acute Disease Quality Initiative consensus.

Results

The cohort had a median age of 77 years (52.0% male) and 17 (34.0%) had pre-existing CKD. AKD developed in 17 (34.0%) patients, while the remaining 33 (66.0%) recovered without AKD. Among longitudinal biomarkers of tubular injury, glomerular filtration, and glomerular injury, the discriminatory performance generally improved over 48 hours (Figure 1). Plasma neutrophil gelatinase-associated lipocalin (NGAL) measured at 48 hours demonstrated the highest area under the receiver operating characteristic curve (0.859; 95% confidence interval, 0.752–0.965, P<0.001).

Conclusion

Among evaluated biomarkers, plasma NGAL measured at 48 hours post-diagnosis demonstrated the highest discriminatory performance for AKD progression following SA-AKI.

Figure 1. Receiver operating characteristic curves of (A) plasma NGAL, (B) urine NGAL/creatinine, (C) plasma cystatin C, and (D) urine albumin/creatinine for AKD prediction at 0, 6, and 48 hours post-diagnosis. AUC, area under the curve.

Funding

  • Private Foundation Support