Unknown

Dataset Information

0

Urinary biomarkers predict advanced acute kidney injury after cardiovascular surgery.


ABSTRACT:

Background

Acute kidney injury (AKI) after cardiovascular surgery is a serious complication. Little is known about the ability of novel biomarkers in combination with clinical risk scores for prediction of advanced AKI.

Methods

In this prospectively conducted multicenter study, urine samples were collected from 149 adults at 0, 3, 6, 12 and 24 h after cardiovascular surgery. We measured urinary hemojuvelin (uHJV), kidney injury molecule-1 (uKIM-1), neutrophil gelatinase-associated lipocalin (uNGAL), α-glutathione S-transferase (uα-GST) and π-glutathione S-transferase (uπ-GST). The primary outcome was advanced AKI, under the definition of Kidney Disease: Improving Global Outcomes (KDIGO) stage 2, 3 and composite outcomes were KDIGO stage 2, 3 or 90-day mortality after hospital discharge.

Results

Patients with advanced AKI had significantly higher levels of uHJV and uKIM-1 at 3, 6 and 12 h after surgery. When normalized by urinary creatinine level, uKIM-1 in combination with uHJV at 3 h post-surgery had a high predictive ability for advanced AKI and composite outcome (AUC = 0.898 and 0.905, respectively). The combination of this biomarker panel (normalized uKIM-1, uHJV at 3 h post-operation) and Liano's score was superior in predicting advanced AKI (AUC = 0.931, category-free net reclassification improvement of 1.149, and p <  0.001).

Conclusions

When added to Liano's score, normalized uHJV and uKIM-1 levels at 3 h after cardiovascular surgery enhanced the identification of patients at higher risk of progression to advanced AKI and composite outcomes.

SUBMITTER: Wang JJ 

PROVIDER: S-EPMC5921971 | biostudies-literature |

REPOSITORIES: biostudies-literature

Similar Datasets

| S-EPMC3338298 | biostudies-literature
| S-EPMC3171944 | biostudies-literature
| S-EPMC3171945 | biostudies-literature
| S-EPMC7216780 | biostudies-literature
| S-EPMC3627833 | biostudies-literature
| S-EPMC3880389 | biostudies-literature
| S-EPMC6698294 | biostudies-literature