Prediction of acute kidney injury using a combined model of inflammatory vascular endothelium biomarkers and ultrasound indices.
Clin Hemorheol Microcirc
; 84(3): 283-301, 2023.
Article
em En
| MEDLINE
| ID: mdl-37212089
ABSTRACT
BACKGROUND:
Acute kidney injury (AKI) is a common complication of sepsis, with the burden of long hospital admission. Early prediction of AKI is the most effective strategy for intervention and improvement of the outcomes.OBJECTIVE:
In our study, we aimed to investigate the predictive performance of the combined model using ultrasound indices (grayscale and Doppler indieces), endothelium injury (E-selectin, VCAM-1, ICAM1, Angiopoietin 2, syndecan-1, and eNOS) as well as inflammatory biomarkers (TNF-a, and IL-1ß) to identify AKI.METHODS:
Sixty albino rats were divided into control and lipopolysaccharide (LPS) groups. Renal ultrasound, biochemical and immunohistological variables were recorded 6âhrs, 24âhrs, and 48âhrs after AKI.RESULTS:
Endothelium injury and inflammatory markers were found to be significantly increased early after AKI, and correlated significantly with kidney size reduction and renal resistance indices elevation.CONCLUSIONS:
Using area under the curve (AUC), the combined model was analyzed based on ultrasound and biochemical variables and provided the highest predictive value for renal injury.Palavras-chave
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Sepse
/
Injúria Renal Aguda
Idioma:
En
Ano de publicação:
2023
Tipo de documento:
Article