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Risk factors and predictive model for acute kidney Injury Transition to acute kidney disease in patients following partial nephrectomy

Authors :
Sizhou Zhang
Dachun Jin
Yuanfeng Zhang
Tianhui Wang
Source :
BMC Urology, Vol 23, Iss 1, Pp 1-10 (2023)
Publication Year :
2023
Publisher :
BMC, 2023.

Abstract

Abstract Purpose Acute kidney disease (AKD) is believed to be involved in the transition from acute kidney injury (AKI) to chronic kidney disease in general populations, but little is understood about this possibility among kidney surgical populations. This study aimed to elucidate the incidence of AKD after partial nephrectomy and risk factors that promote the AKI to AKD transition. Methods From January 2010 to January 2020, this study retrospectively collected a dataset of consecutive patients with renal masses undergoing partial nephrectomy in 4 urological centers. Cox proportional regression analyses were adopted to identify risk factors that promoted the AKI to AKD transition. To avoid overfitting, the results were then verified by logistic least absolute shrinkage and selection operator (LASSO) regression. A nomogram was then constructed and validated for AKI to AKD transition prediction. Results AKI and AKD occurred in 228 (21.4%) and 42 (3.9%) patients among a total of 1062 patients, respectively. In patients with AKI, multivariable Cox regression analysis and LASSO regression identified that age (HR 1.078, 1.029–1.112, p 30 min (HR 7.284, 2.210–23.999, p = 0.001), and intraoperative blood loss > 300ml (HR 8.641, 2.751–27.171, p

Details

Language :
English
ISSN :
14712490
Volume :
23
Issue :
1
Database :
Directory of Open Access Journals
Journal :
BMC Urology
Publication Type :
Academic Journal
Accession number :
edsdoj.b0e1c7ba4db34b9b8b53faedd3f2f3b1
Document Type :
article
Full Text :
https://doi.org/10.1186/s12894-023-01325-3