Background: We previously developed a clinical/proteomics panel for predicting procedural acute kidney injury (AKI) and now examine its performance in those with diabetes (DM).
Methods: We measured 109 biomarkers in blood from patients undergoing coronary angiography. Procedural AKI defined as increase in serum creatinine ≥0.3 mg/dL, increase in serum creatinine of ≥50%, or documented oliguria ≤7 days after procedure. Clinical and biomarker predictors of AKI identified using least-angle regression; a final prognostic model was developed with LASSO; the model was then measured in those with DM.
Results: Besides DM, 5 predictors were in the final model: 3 (blood urea nitrogen to creatinine ratio, C-reactive protein and osteopontin) had positive association, while 2 (CD5 antigen-like and Factor VII) had negative association with AKI risk. Among 217 patients with DM, 18 (8.3%) developed AKI. The final model had an AUC of 0.87 for predicting procedural AKI (P<0.001). The optimal score cut-off had 100% sensitivity and a negative predictive value (NPV) of 100% for procedural AKI.
N.E. Ibrahim: Other Relationship; Self; Novartis Pharmaceuticals Corporation. C.P. McCarthy: None. S. Shrestha: None. H. Gaggin: Other Relationship; Self; Dr. Gaggin has received research grant support from Roche Diagnostics, Jana Care, Ortho Clinical, Novartis; consulting income from Merck, Roche Diagnostics; research payments for clinical endpoint com. R. Mukai: None. C.A. Magaret: Consultant; Self; Prevencio. R.F. Rhyne: Board Member; Self; Prevencio. Employee; Self; Prevencio. Stock/Shareholder; Self; Prevencio. J. Januzzi: Consultant; Self; Abbott, Roche Diagnostic USA. Research Support; Self; Abbott, Prevencio, Quest Diagnostics, Roche Diagnostic USA.
Prevencio, Inc.
