Predictive value of renal resistive index combined with plasma biomarkers of endothelial cell activation for persistent acute kidney injury in patients with septic shock

Autor: Xiu‐Qing Chen, Qi‐Jun Zhang, Xiu‐Wei Lai
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Hong Kong Journal of Emergency Medicine, Vol 31, Iss 5, Pp 213-223 (2024)
Druh dokumentu: article
ISSN: 2309-5407
1024-9079
DOI: 10.1002/hkj2.12037
Popis: Abstract Objective To assess the predictive abilities of Doppler‐based resistive index and plasma biomarkers of endothelial cell activation in identifying persistent acute kidney injury (pAKI) among patients with septic shock. Method Patients diagnosed with septic shock were categorized into none AKI (n = 25), transient AKI (tAKI, n = 47), and pAKI (n = 48) groups. Kidney function parameters (urine output, serum creatinine, and serum urea) were measured within the initial 24 h upon intensive care unit (ICU) admission. The Doppler‐based resistive index, and the plasma biomarkers [fractalkine, soluble E‐Selectin (sE‐Selectin), and soluble intercellular adhesion molecule‐1 (sICAM‐1)] were evaluated upon admission to the ICU. Results The predictive capacity of Doppler‐based resistive index for distinguishing pAKI at day 3 from none AKI/tAKI in septic shock patients was moderate, with sensitivity of 47.92% and specificity of 76.39%. Fractalkine levels displayed significant differences across groups and exhibited a favorable predictive ability for pAKI at day 3 (AUC = 0.800), while sE‐Selectin and sICAM‐1 showed moderate predictive abilities (AUC = 0.636 and 0.634, respectively). Comparative analysis of predictive models demonstrated that incorporating kidney function parameters, Doppler‐based resistive index, and plasma biomarkers yielded the highest AUC of 0.903, followed closely by the model utilizing serum creatinine, urine output, and plasma fractalkine, with an AUC of 0.896. Conclusion Integrating kidney function parameters, along with Doppler‐based resistive index and plasma biomarkers of endothelial cell activation, yielded the strongest predictive model for pAKI. Additionally, the combination of serum creatinine, urine output, and plasma fractalkine shows promise in risk assessment and management strategies for pAKI.
Databáze: Directory of Open Access Journals
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