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Urinary Syndecan-1 and acute kidney injury after pediatric cardiac surgery. | LitMetric

AI Article Synopsis

  • Acute kidney injury (AKI) often occurs after pediatric cardiac surgery, and urinary syndecan-1 could be a key biomarker for predicting it.
  • A study with 86 patients found that higher levels of postoperative urinary syndecan-1 were associated with severe AKI, demonstrating good discriminatory capacity for identifying at-risk patients.
  • Incorporating urinary syndecan-1 into clinical models improved the prediction of severe AKI, highlighting its potential value in postoperative care.

Article Abstract

Introduction: Acute kidney injury (AKI) is a common occurrence after pediatric cardiac surgery. Plasma syndecan-1 is a biomarker of endothelial glycocalyx damage and it is associated with AKI. Syndecan-1 is also expressed in renal tubular cells but there is no study evaluating urinary syndecan-1 in predicting AKI.

Methods: Prospective cohort study with 86 patients ≤18 years submitted to cardiac surgery at one reference institution. Postoperative urinary syndecan-1 was collected within the first 2 h after cardiac surgery. Severe AKI - defined according to KDIGO as stage 2 or 3 - doubling of serum creatinine from the preoperative value or need for dialysis during hospitalization was the main outcome. Analyses were adjusted for clinical cofounders.

Results: Postoperative urinary syndecan-1 levels were higher in patients with severe AKI and even after adjustment for several clinical variables; the fourth quartile was significantly associated with severe AKI. The AUC-ROC for postoperative urinary syndecan-1 showed good discriminatory capacity (AUC-ROC = 0.793). The addition of urinary syndecan-1 improved the discrimination capacity of a clinical model (0.78 to 0.84). It also improved risk prediction, as measured by net reclassification improvement (NRI).

Conclusion: Urinary syndecan-1 predicts severe AKI after pediatric cardiac surgery. Moreover, it appears to add capacity to predict severe AKI into a clinical model.

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Source
http://dx.doi.org/10.1016/j.cca.2018.06.033DOI Listing

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