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Derivation and Validation of a Risk Prediction Model for Vancomycin-Associated Acute Kidney Injury in Chinese Population

BACKGROUND: Vancomycin is the standard therapy for methicillin-resistant Staphylococcus aureus (MRSA) infection; however, nephrotoxicity happened with a high incidence of 15%~40%. Weighting the risk before receiving vancomycin treatment facilitates timely prevention of nephrotoxicity, but no standar...

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Autores principales: Xu, Nana, Zhang, Qiao, Wu, Guolan, Lv, Duo, Zheng, Yunliang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7319536/
https://www.ncbi.nlm.nih.gov/pubmed/32606713
http://dx.doi.org/10.2147/TCRM.S253587
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author Xu, Nana
Zhang, Qiao
Wu, Guolan
Lv, Duo
Zheng, Yunliang
author_facet Xu, Nana
Zhang, Qiao
Wu, Guolan
Lv, Duo
Zheng, Yunliang
author_sort Xu, Nana
collection PubMed
description BACKGROUND: Vancomycin is the standard therapy for methicillin-resistant Staphylococcus aureus (MRSA) infection; however, nephrotoxicity happened with a high incidence of 15%~40%. Weighting the risk before receiving vancomycin treatment facilitates timely prevention of nephrotoxicity, but no standardized strategy exists for this purpose. METHODS: A retrospective cohort study was performed. A total of 524 hospitalized patients treated with vancomycin were included in this study. They were divided into derivation cohort (n=341) and externally validation cohort (n=183) according to their admission time. Using univariate and multivariable logistic regression, we identified potential predictors of vancomycin-associated acute kidney injury (AKI) and developed a risk score by plotting nomogram. The predictive performance of this novel risk score was assessed and validated by discrimination and calibration. Besides, the risk score was also compared with existing prediction models according to integrated discrimination index (IDI) and net reclassification index (NRI). RESULTS: The incidence of AKI was 16.1% (55/341) in the derivation cohort and 16.4% (30/183) in the validation cohort. Three factors (vancomycin serum trough concentration, piperacillin/tazobactam and furosemide) were determined as predictors for vancomycin-associated AKI. The established three-item risk score showed a comparable discrimination in both derivation cohort (AUC=0.793, 95% CI: 0.732–0.855) and validation cohort (AUC=0.788, 95% CI: 0.698–0.877). The risk score also demonstrated a good calibration in the derivation cohort (χ(2)=6.079, P=0.638>0.05) and validation cohort (χ(2)=5.665, P=0.686>0.05). Compared with prediction by C(min) alone, this risk score significantly improved reclassification accuracy (IDI=0.050, 95% CI: 0.024–0.076, P<0.001, NRI=0.166, 95% CI: 0.044–0.289, P=0.007). CONCLUSION: The established model in this study is a simplified three-item risk score, which provides a robust tool for the prediction of AKI after receiving vancomycin treatment.
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spelling pubmed-73195362020-06-29 Derivation and Validation of a Risk Prediction Model for Vancomycin-Associated Acute Kidney Injury in Chinese Population Xu, Nana Zhang, Qiao Wu, Guolan Lv, Duo Zheng, Yunliang Ther Clin Risk Manag Original Research BACKGROUND: Vancomycin is the standard therapy for methicillin-resistant Staphylococcus aureus (MRSA) infection; however, nephrotoxicity happened with a high incidence of 15%~40%. Weighting the risk before receiving vancomycin treatment facilitates timely prevention of nephrotoxicity, but no standardized strategy exists for this purpose. METHODS: A retrospective cohort study was performed. A total of 524 hospitalized patients treated with vancomycin were included in this study. They were divided into derivation cohort (n=341) and externally validation cohort (n=183) according to their admission time. Using univariate and multivariable logistic regression, we identified potential predictors of vancomycin-associated acute kidney injury (AKI) and developed a risk score by plotting nomogram. The predictive performance of this novel risk score was assessed and validated by discrimination and calibration. Besides, the risk score was also compared with existing prediction models according to integrated discrimination index (IDI) and net reclassification index (NRI). RESULTS: The incidence of AKI was 16.1% (55/341) in the derivation cohort and 16.4% (30/183) in the validation cohort. Three factors (vancomycin serum trough concentration, piperacillin/tazobactam and furosemide) were determined as predictors for vancomycin-associated AKI. The established three-item risk score showed a comparable discrimination in both derivation cohort (AUC=0.793, 95% CI: 0.732–0.855) and validation cohort (AUC=0.788, 95% CI: 0.698–0.877). The risk score also demonstrated a good calibration in the derivation cohort (χ(2)=6.079, P=0.638>0.05) and validation cohort (χ(2)=5.665, P=0.686>0.05). Compared with prediction by C(min) alone, this risk score significantly improved reclassification accuracy (IDI=0.050, 95% CI: 0.024–0.076, P<0.001, NRI=0.166, 95% CI: 0.044–0.289, P=0.007). CONCLUSION: The established model in this study is a simplified three-item risk score, which provides a robust tool for the prediction of AKI after receiving vancomycin treatment. Dove 2020-06-22 /pmc/articles/PMC7319536/ /pubmed/32606713 http://dx.doi.org/10.2147/TCRM.S253587 Text en © 2020 Xu et al. http://creativecommons.org/licenses/by-nc/3.0/ This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Xu, Nana
Zhang, Qiao
Wu, Guolan
Lv, Duo
Zheng, Yunliang
Derivation and Validation of a Risk Prediction Model for Vancomycin-Associated Acute Kidney Injury in Chinese Population
title Derivation and Validation of a Risk Prediction Model for Vancomycin-Associated Acute Kidney Injury in Chinese Population
title_full Derivation and Validation of a Risk Prediction Model for Vancomycin-Associated Acute Kidney Injury in Chinese Population
title_fullStr Derivation and Validation of a Risk Prediction Model for Vancomycin-Associated Acute Kidney Injury in Chinese Population
title_full_unstemmed Derivation and Validation of a Risk Prediction Model for Vancomycin-Associated Acute Kidney Injury in Chinese Population
title_short Derivation and Validation of a Risk Prediction Model for Vancomycin-Associated Acute Kidney Injury in Chinese Population
title_sort derivation and validation of a risk prediction model for vancomycin-associated acute kidney injury in chinese population
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7319536/
https://www.ncbi.nlm.nih.gov/pubmed/32606713
http://dx.doi.org/10.2147/TCRM.S253587
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