A clinical, proteomics, and artificial intelligence‐driven model to predict acute kidney injury in patients undergoing coronary angiography

BACKGROUND: Standard measures of kidney function are only modestly useful for accurate prediction of risk for acute kidney injury (AKI). HYPOTHESIS: Clinical and biomarker data can predict AKI more accurately. METHODS: Using Luminex xMAP technology, we measured 109 biomarkers in blood from 889 patie...

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Detalhes bibliográficos
Publicado no:Clin Cardiol
Principais autores: Ibrahim, Nasrien E., McCarthy, Cian P., Shrestha, Shreya, Gaggin, Hanna K., Mukai, Renata, Magaret, Craig A., Rhyne, Rhonda F., Januzzi, James L.
Formato: Artigo
Idioma:Inglês
Publicado em: Wiley Periodicals, Inc. 2019
Assuntos:
Clinical Investigations
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6712314/
https://ncbi.nlm.nih.gov/pubmed/30582197
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/clc.23143
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