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543-P: A Clinical, Proteomics and Artificial Intelligence-Driven Model to Predict Acute Kidney Injury in Diabetic Patients Undergoing Coronary Angiography—Results from the Catheter Sampled Blood Archive in Cardiovascular Diseases Study.

Authors :
IBRAHIM, NASRIEN E.
MCCARTHY, CIAN P.
SHRESTHA, SHREYA
GAGGIN, HANNA
MUKAI, RENATA
MAGARET, CRAIG A.
RHYNE, RHONDA F.
JANUZZI JR., JAMES
Source :
Diabetes. 2019 Supplement, Vol. 68, pN.PAG-N.PAG. 1p.
Publication Year :
2019

Abstract

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. Conclusions: We describe a clinical and proteomics-supported biomarker model with high sensitivity/NPV for AKI in patients with DM following coronary angiography. Disclosure: 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. Funding: Prevencio, Inc. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00121797
Volume :
68
Database :
Academic Search Index
Journal :
Diabetes
Publication Type :
Academic Journal
Accession number :
152326282
Full Text :
https://doi.org/10.2337/db19-543-P