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肾动脉阻力指数联合β2-微球蛋白对尿源性脓毒血症合并急性肾损伤患者的预测价值研究
Authors Li H , Zhou J, Wang Q, Zhu Y, Zi T, Qin X, Zhao Y, Jiang W, Li X, Wang X, Xu C, Chen X, Wu G
Received 24 August 2024
Accepted for publication 10 November 2024
Published 25 November 2024 Volume 2024:17 Pages 9583—9599
DOI https://doi.org/10.2147/JIR.S492858
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 2
Editor who approved publication: Dr Adam D Bachstetter
Haopeng Li,1,* Juan Zhou,2,* Qinghua Wang,1 Yaru Zhu,1 Tong Zi,1 Xin Qin,1 Yan Zhao,1 Wei Jiang,1 Xilei Li,1 Xin’an Wang,1 Chengdang Xu,1 Xi Chen,1 Gang Wu1
1Department of Urology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, 200092, People’s Republic of China; 2Department of ICU, Tongji Hospital, School of Medicine, Tongji University, Shanghai, 200092, People’s Republic of China
*These authors contributed equally to this work
Correspondence: Xi Chen; Gang Wu, Email 15132767126@163.com; wg_urologist@163.com
Purpose: This study aims to evaluate the predictive value of the renal resistive index (RRI) and β 2-microglobulin (β 2-MG) for acute kidney injury (AKI) in urosepsis patients and to develop a clinical prediction model for AKI risk.
Methods: Data from 108 urosepsis patients at Tongji Hospital were analyzed. Patients were divided into AKI (67 patients) and non-AKI (41 patients) groups based on KDIGO guidelines. Univariate analysis identified potential AKI risk factors, which were further assessed using multivariate logistic regression. A nomogram was constructed based on significant predictors, with internal validation via the bootstrap method. The model’s accuracy and clinical utility were evaluated using ROC curves and Decision Curve Analysis (DCA).
Results: Multivariate analysis identified RRI, β 2-MG, procalcitonin (PCT), and serum creatinine (Scr) as independent AKI risk factors. The combined predictive indicators yielded an AUC of 0.879, outperforming individual markers (P < 0.05). The prediction model achieved an AUC of 0.949, with high sensitivity (92.5%) and specificity (82.9%). Further analysis revealed that RRI, β 2-MG, PCT, and APACHE II scores were independent predictors of poor prognosis in urosepsis-related AKI, with combined RRI and β 2-MG predictions showing superior performance.
Conclusion: Elevated RRI, β 2-MG, PCT, and Scr levels are independent predictors of AKI in urosepsis. RRI, β 2-MG, PCT, and APACHE II scores also predict poor prognosis in urosepsis-related AKI. The nomogram combining these factors demonstrates high predictive accuracy and clinical applicability.
Keywords: renal resistive index, β 2-microglobulin, urosepsis, acute kidney injury