干旱区生态环境知识资源中心(Arid): Development and validation of a nomogram to predict the 30-day mortality risk of patients with intracerebral hemorrhage

Arid

DOI	10.3389/fnins.2022.942100
	Development and validation of a nomogram to predict the 30-day mortality risk of patients with intracerebral hemorrhage
	Zou, Jianyu; Chen, Huihuang; Liu, Cuiqing; Cai, Zhenbin; Yang, Jie; Zhang, Yunlong; Li, Shaojin; Lin, Hongsheng; Tan, Minghui
通讯作者	Lin, HS ; Tan, MH
来源期刊	FRONTIERS IN NEUROSCIENCE
EISSN	1662-453X
出版年	2022
卷号	16
英文摘要	BackgroundIntracerebral hemorrhage (ICH) is a stroke syndrome with an unfavorable prognosis. Currently, there is no comprehensive clinical indicator for mortality prediction of ICH patients. The purpose of our study was to construct and evaluate a nomogram for predicting the 30-day mortality risk of ICH patients. MethodsICH patients were extracted from the MIMIC-III database according to the ICD-9 code and randomly divided into training and verification cohorts. The least absolute shrinkage and selection operator (LASSO) method and multivariate logistic regression were applied to determine independent risk factors. These risk factors were used to construct a nomogram model for predicting the 30-day mortality risk of ICH patients. The nomogram was verified by the area under the receiver operating characteristic curve (AUC), integrated discrimination improvement (IDI), net reclassification improvement (NRI), and decision curve analysis (DCA). ResultsA total of 890 ICH patients were included in the study. Logistic regression analysis revealed that age (OR = 1.05, P < 0.001), Glasgow Coma Scale score (OR = 0.91, P < 0.001), creatinine (OR = 1.30, P < 0.001), white blood cell count (OR = 1.10, P < 0.001), temperature (OR = 1.73, P < 0.001), glucose (OR = 1.01, P < 0.001), urine output (OR = 1.00, P = 0.020), and bleeding volume (OR = 1.02, P < 0.001) were independent risk factors for 30-day mortality of ICH patients. The calibration curve indicated that the nomogram was well calibrated. When predicting the 30-day mortality risk, the nomogram exhibited good discrimination in the training and validation cohorts (C-index: 0.782 and 0.778, respectively). The AUCs were 0.778, 0.733, and 0.728 for the nomogram, Simplified Acute Physiology Score II (SAPSII), and Oxford Acute Severity of Illness Score (OASIS), respectively, in the validation cohort. The IDI and NRI calculations and DCA analysis revealed that the nomogram model had a greater net benefit than the SAPSII and OASIS scoring systems. ConclusionThis study identified independent risk factors for 30-day mortality of ICH patients and constructed a predictive nomogram model, which may help to improve the prognosis of ICH patients.
英文关键词	intracerebral hemorrhage MIMIC III database prognosis nomogram mortality
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:000844016200001
WOS关键词	CLINICAL CHARACTERISTICS ; INTRACRANIAL HEMORRHAGE ; HEMATOMA EXPANSION ; PROGNOSTIC VALUE ; STROKE PATIENTS ; COPEPTIN ; OUTCOMES ; MANAGEMENT ; AGE ; OVERLAP
WOS类目	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/2XILL650/392793
推荐引用方式 GB/T 7714	Zou, Jianyu,Chen, Huihuang,Liu, Cuiqing,et al. Development and validation of a nomogram to predict the 30-day mortality risk of patients with intracerebral hemorrhage[J],2022,16.
APA	Zou, Jianyu.,Chen, Huihuang.,Liu, Cuiqing.,Cai, Zhenbin.,Yang, Jie.,...&Tan, Minghui.(2022).Development and validation of a nomogram to predict the 30-day mortality risk of patients with intracerebral hemorrhage.FRONTIERS IN NEUROSCIENCE,16.
MLA	Zou, Jianyu,et al."Development and validation of a nomogram to predict the 30-day mortality risk of patients with intracerebral hemorrhage".FRONTIERS IN NEUROSCIENCE 16(2022).