Development and validation of a nomogram to predict the risk of vancomycin-related acute kidney injury in critical care patients

doi:10.3389/fphar.2024.1389140

科研成果详情

题名	Development and validation of a nomogram to predict the risk of vancomycin-related acute kidney injury in critical care patients
作者	Bao, Peng 1; Sun, Yuzhen 1; Qiu, Peng 2; Li, Xiaohui 1
发表日期	2024-08-28
发表期刊	FRONTIERS IN PHARMACOLOGY 影响因子和分区
语种	英语
原始文献类型	Article
关键词	vancomycin acute kidney injury nephrotoxicity nomogram critical care patients
其他关键词	STAPHYLOCOCCUS-AUREUS INFECTIONS ; REVISED CONSENSUS GUIDELINE ; HEALTH-SYSTEM PHARMACISTS ; SOFA SCORE ; RENAL DYSFUNCTION ; AMERICAN SOCIETY ; DISEASES SOCIETY ; HEART-FAILURE ; AKI ; MODEL
摘要	Background: Vancomycin-associated acute kidney injury (AKI) leads to underestimated morbidity in the intensive care unit (ICU). It is significantly important to predict its occurrence in advance. However, risk factors and nomograms to predict this AKI are limited. Methods: This was a retrospective analysis of two databases. A total of 1,959 patients diagnosed with AKI and treated with vancomycin were enrolled from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. According to the 7:3 ratio, the training set (n = 1,372) and the internal validation set (n = 587) were randomly allocated. The external validation set included 211 patients from the eICU Collaborative Research Database (eICU). Next, to screen potential variables, the least absolute shrinkage and selection operator (LASSO) regression was utilized. Subsequently, the nomogram was developed by the variables of the selected results in the multivariable logistic regression. Finally, discrimination, calibration, and clinical utility were evaluated to validate the nomogram. Results: The constructed nomogram showed fine discrimination in the training set (area under the receiver operator characteristic curve [AUC] = 0.791; 95% confidence interval [CI]: 0.758-0.823), internal validation set (AUC = 0.793; 95% CI: 0.742-0.844), and external validation set (AUC = 0.755; 95% CI: 0.663-0.847). Moreover, it also well demonstrated calibration and clinical utility. The significant improvement (P < 0.001) in net reclassification improvement (NRI) and integrated differentiation improvement (IDI) confirmed that the predictive model outperformed others. Conclusion: This established nomogram indicated promising performance in determining individual AKI risk of vancomycin-treated critical care patients, which will be beneficial in making clinical decisions.
出版者	FRONTIERS MEDIA SA
EISSN	1663-9812
卷号	15
DOI	10.3389/fphar.2024.1389140
页数	11
WOS类目	Pharmacology & Pharmacy
WOS研究方向	Pharmacology & Pharmacy
WOS记录号	WOS:001309777500001
收录类别	SCIE
PubMed ID	39263571
通讯作者地址	[Li, Xiaohui]Zhengzhou Univ, Fuwai Cent China Cardiovasc Hosp, Zhengzhou, Peoples R China.
引用统计
文献类型	期刊论文
条目标识符	https://kms.wmu.edu.cn/handle/3ETUA0LF/218699
专题	附属第一医院附属第一医院_康复科
通讯作者	Li, Xiaohui
作者单位	1.Zhengzhou Univ, Fuwai Cent China Cardiovasc Hosp, Zhengzhou, Peoples R China; 2.Wenzhou Med Univ, Affiliated Hosp 1, Dept Rehabil, Wenzhou, Peoples R China
推荐引用方式 GB/T 7714	Bao, Peng,Sun, Yuzhen,Qiu, Peng,et al. Development and validation of a nomogram to predict the risk of vancomycin-related acute kidney injury in critical care patients[J]. FRONTIERS IN PHARMACOLOGY,2024,15.
APA	Bao, Peng, Sun, Yuzhen, Qiu, Peng, & Li, Xiaohui. (2024). Development and validation of a nomogram to predict the risk of vancomycin-related acute kidney injury in critical care patients. FRONTIERS IN PHARMACOLOGY, 15.
MLA	Bao, Peng,et al."Development and validation of a nomogram to predict the risk of vancomycin-related acute kidney injury in critical care patients".FRONTIERS IN PHARMACOLOGY 15(2024).