干旱区生态环境知识资源中心(Arid): Dynamic nomogram for predicting acute kidney injury in patients with acute ischemic stroke: A retrospective study

Arid

DOI	10.3389/fneur.2022.987684
	Dynamic nomogram for predicting acute kidney injury in patients with acute ischemic stroke: A retrospective study
	Zhu, Ganggui; Fu, Zaixiang; Jin, Taian; Xu, Xiaohui; Wei, Jie; Cai, Lingxin; Yu, Wenhua
通讯作者	Yu, WH
来源期刊	FRONTIERS IN NEUROLOGY
ISSN	1664-2295
出版年	2022
卷号	13
英文摘要	BackgroundThis study sought to develop and validate a dynamic nomogram chart to assess the risk of acute kidney injury (AKI) in patients with acute ischemic stroke (AIS). MethodsThese data were drawn from the Medical Information Mart for Intensive Care III (MIMIC-III) database, which collects 47 clinical indicators of patients after admission to the hospital. The primary outcome indicator was the occurrence of AKI within 48 h of intensive care unit (ICU) admission. Independent risk factors for AKI were screened from the training set using univariate and multifactorial logistic regression analyses. Multiple logistic regression models were developed, and nomograms were plotted and validated in an internal validation set. Based on the receiver operating characteristic (ROC) curve, calibration curve, and decision curve analysis (DCA) to estimate the performance of this nomogram. ResultsNomogram indicators include blood urea nitrogen (BUN), creatinine, red blood cell distribution width (RDW), heart rate (HR), Oxford Acute Severity of Illness Score (OASIS), the history of congestive heart failure (CHF), the use of vancomycin, contrast agent, and mannitol. The predictive model displayed well discrimination with the area under the ROC curve values of 0.8529 and 0.8598 for the training set and the validator, respectively. Calibration curves revealed favorable concordance between the actual and predicted incidence of AKI (p > 0.05). DCA indicates the excellent net clinical benefit of nomogram in predicting AKI. ConclusionIn summary, we explored the incidence of AKI in patients with AIS during ICU stay and developed a predictive model to help clinical decision-making.
英文关键词	acute ischemic stroke acute kidney injury nomogram MIMIC-III database retrospective study
类型	Article
语种	英语
开放获取类型	Green Published, gold
收录类别	SCI-E
WOS记录号	WOS:000864804400001
WOS关键词	TERM SURVIVAL ; MORTALITY ; CANCER ; SYSTEM ; AKI
WOS类目	Clinical Neurology ; Neurosciences
WOS研究方向	Neurosciences & Neurology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/392792
推荐引用方式 GB/T 7714	Zhu, Ganggui,Fu, Zaixiang,Jin, Taian,et al. Dynamic nomogram for predicting acute kidney injury in patients with acute ischemic stroke: A retrospective study[J],2022,13.
APA	Zhu, Ganggui.,Fu, Zaixiang.,Jin, Taian.,Xu, Xiaohui.,Wei, Jie.,...&Yu, Wenhua.(2022).Dynamic nomogram for predicting acute kidney injury in patients with acute ischemic stroke: A retrospective study.FRONTIERS IN NEUROLOGY,13.
MLA	Zhu, Ganggui,et al."Dynamic nomogram for predicting acute kidney injury in patients with acute ischemic stroke: A retrospective study".FRONTIERS IN NEUROLOGY 13(2022).