Development and validation of a deep neural network-based model to predict acute kidney injury following intravenous administration of iodinated contrast media in hospitalized patients with chronic kidney disease: a multicohort analysis

Stratification of chronic kidney disease (CKD) patients [estimated glomerular filtration rate (eGFR)

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Bibliographische Detailangaben
Veröffentlicht in:	Nephrology, dialysis, transplantation dialysis, transplantation, 2023-02, Vol.38 (2), p.352-361
Hauptverfasser:	Yan, Ping, Duan, Shao-Bin, Luo, Xiao-Qin, Zhang, Ning-Ya, Deng, Ying-Hao
Format:	Artikel
Sprache:	eng
Schlagworte:	Acute Kidney Injury - chemically induced Acute Kidney Injury - diagnosis Administration, Intravenous Contrast Media - adverse effects Glomerular Filtration Rate Humans Renal Insufficiency, Chronic Retrospective Studies Risk Assessment - methods Risk Factors
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Beschreibung
Zusammenfassung:	Stratification of chronic kidney disease (CKD) patients [estimated glomerular filtration rate (eGFR)
ISSN:	0931-0509 1460-2385
DOI:	10.1093/ndt/gfac049