干旱区生态环境知识资源中心(Arid): A New Nomogram for Predicting 30-Day In-Hospital Mortality Rate of Acute Cholangitis Patients in the Intensive Care Unit

Arid

DOI	10.1155/2023/9961438
	A New Nomogram for Predicting 30-Day In-Hospital Mortality Rate of Acute Cholangitis Patients in the Intensive Care Unit
	Pan, Li-Na; Pan, Shen-Ao; Hong, Guang-Liang; Chen, Kun-Wei
通讯作者	Chen, KW
来源期刊	EMERGENCY MEDICINE INTERNATIONAL
ISSN	2090-2840
EISSN	2090-2859
出版年	2023
卷号	2023
英文摘要	Purpose. Acute cholangitis (AC) is a widespread acute inflammatory disease and the main cause of septic shock, which has a high death rate in hospitals. At present, the prediction models for short-term mortality of AC patients are still not ideal. We aimed at developing a new model that could forecast the short-term mortality rate of AC patients. Methods. Data were extracted from the Medical Information Mart for Intensive Care IV version 2.0 (MIMIC-IV v2.0). There were a total of 506 cases of AC patients that were included. Patients were given a 7 : 3 split between the training set and the validation set after being randomly assigned to one of the groups. Multivariate logistic regression was used to create an AC patient predictive nomogram for 30-day mortality. The overall efficacy of the model is evaluated using the area under the receiver operating characteristic curve (AUC), the calibration curve, the net reclassification improvement (NRI), the integrated discrimination improvement (IDI), and a decision curve analysis (DCA). Results. Out of 506 patients, 14.0% (71 patients) died. The training cohort had 354 patients, and the validation cohort had 152 patients. GCS, SPO2, albumin, AST/ALT, glucose, potassium, PTT, and peripheral vascular disease were the independent risk factors according to the multivariate analysis results. The newly established nomogram had better prediction performance than other common scoring systems (such as SOFA, OASIS, and SAPS II). For two cohorts, the calibration curve demonstrated coherence between the nomogram and the ideal observation P > 0.05. The clinical utility of the nomogram in both sets was revealed by decision curve analysis. Conclusion. The novel prognostic model was effective in forecasting the 30-day mortality rate for acute cholangitis patients.
类型	Article
语种	英语
开放获取类型	gold, Green Published
收录类别	SCI-E
WOS记录号	WOS:001051824000001
WOS关键词	VALIDATION ; OUTCOMES ; RISK ; CHOLECYSTITIS ; EPIDEMIOLOGY ; GUIDELINES ; MANAGEMENT ; CRITERIA
WOS类目	Emergency Medicine
WOS研究方向	Emergency Medicine
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/396050
推荐引用方式 GB/T 7714	Pan, Li-Na,Pan, Shen-Ao,Hong, Guang-Liang,et al. A New Nomogram for Predicting 30-Day In-Hospital Mortality Rate of Acute Cholangitis Patients in the Intensive Care Unit[J],2023,2023.
APA	Pan, Li-Na,Pan, Shen-Ao,Hong, Guang-Liang,&Chen, Kun-Wei.(2023).A New Nomogram for Predicting 30-Day In-Hospital Mortality Rate of Acute Cholangitis Patients in the Intensive Care Unit.EMERGENCY MEDICINE INTERNATIONAL,2023.
MLA	Pan, Li-Na,et al."A New Nomogram for Predicting 30-Day In-Hospital Mortality Rate of Acute Cholangitis Patients in the Intensive Care Unit".EMERGENCY MEDICINE INTERNATIONAL 2023(2023).