Study on the Predictive Value of Renal Resistive Index Combined with β2-Microglobulin in Patients with Urosepsis Complicated with Acute Kidney Injury
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; 2...
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Dove Medical Press
2024-11-01
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| Series: | Journal of Inflammation Research |
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| _version_ | 1849220989982867456 |
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| author | 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 |
| author_facet | 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 |
| author_sort | Li H |
| collection | DOAJ |
| description | 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 workCorrespondence: Xi Chen; Gang Wu, Email 15132767126@163.com; wg_urologist@163.comPurpose: 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 |
| format | Article |
| id | doaj-art-a9b72588a0d34cfbb1ec97141d9c3515 |
| institution | Kabale University |
| issn | 1178-7031 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Dove Medical Press |
| record_format | Article |
| series | Journal of Inflammation Research |
| spelling | doaj-art-a9b72588a0d34cfbb1ec97141d9c35152024-11-26T17:58:43ZengDove Medical PressJournal of Inflammation Research1178-70312024-11-01Volume 179583959997642Study on the Predictive Value of Renal Resistive Index Combined with β2-Microglobulin in Patients with Urosepsis Complicated with Acute Kidney InjuryLi HZhou JWang QZhu YZi TQin XZhao YJiang WLi XWang XXu CChen XWu GHaopeng 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 workCorrespondence: Xi Chen; Gang Wu, Email 15132767126@163.com; wg_urologist@163.comPurpose: 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 injuryhttps://www.dovepress.com/study-on-the-predictive-value-of-renal-resistive-index-combined-with-2-peer-reviewed-fulltext-article-JIRrenal resistive indexβ2-microglobulinurosepsisacute kidney injury |
| spellingShingle | 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 Study on the Predictive Value of Renal Resistive Index Combined with β2-Microglobulin in Patients with Urosepsis Complicated with Acute Kidney Injury Journal of Inflammation Research renal resistive index β2-microglobulin urosepsis acute kidney injury |
| title | Study on the Predictive Value of Renal Resistive Index Combined with β2-Microglobulin in Patients with Urosepsis Complicated with Acute Kidney Injury |
| title_full | Study on the Predictive Value of Renal Resistive Index Combined with β2-Microglobulin in Patients with Urosepsis Complicated with Acute Kidney Injury |
| title_fullStr | Study on the Predictive Value of Renal Resistive Index Combined with β2-Microglobulin in Patients with Urosepsis Complicated with Acute Kidney Injury |
| title_full_unstemmed | Study on the Predictive Value of Renal Resistive Index Combined with β2-Microglobulin in Patients with Urosepsis Complicated with Acute Kidney Injury |
| title_short | Study on the Predictive Value of Renal Resistive Index Combined with β2-Microglobulin in Patients with Urosepsis Complicated with Acute Kidney Injury |
| title_sort | study on the predictive value of renal resistive index combined with beta 2 microglobulin in patients with urosepsis complicated with acute kidney injury |
| topic | renal resistive index β2-microglobulin urosepsis acute kidney injury |
| url | https://www.dovepress.com/study-on-the-predictive-value-of-renal-resistive-index-combined-with-2-peer-reviewed-fulltext-article-JIR |
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