A New Nomogram for Predicting 30-Day In-Hospital Mortality Rate of Acute Cholangitis Patients in the Intensive Care Unit

doi:10.1155/2023/9961438

科研成果详情

题名	A New Nomogram for Predicting 30-Day In-Hospital Mortality Rate of Acute Cholangitis Patients in the Intensive Care Unit
作者	Pan, Li-Na1; Pan, Shen-Ao 2; Hong, Guang-Liang3; Chen, Kun-Wei 3
发表日期	2023-08-10
发表期刊	Emergency medicine international 影响因子和分区
语种	英语
原始文献类型	Journal Article
其他关键词	VALIDATION ; OUTCOMES ; RISK ; CHOLECYSTITIS ; EPIDEMIOLOGY ; GUIDELINES ; MANAGEMENT ; CRITERIA
摘要	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., 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)., {AbstractText=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.}, The novel prognostic model was effective in forecasting the 30-day mortality rate for acute cholangitis patients.
资助项目	National Key Ramp;D Program of China [2021YFC3002205]; Science and Technology Plan Project of Wenzhou [2021Y1205]
出版者	HINDAWI LTD
ISSN	2090-2840
EISSN	2090-2859
卷号	2023
DOI	10.1155/2023/9961438
页数	10
WOS类目	Emergency Medicine
WOS研究方向	Emergency Medicine
WOS记录号	WOS:001051824000001
收录类别	PUBMED ; SCIE ; SCOPUS
URL	查看原文
PubMed ID	37599814
SCOPUSEID	2-s2.0-85168838259
通讯作者地址	[Chen, Kun-Wei]Department of Emergency,Te First Afliated Hospital of Wenzhou Medical University,Wenzhou,325000,China
Scopus学科分类	Emergency Medicine
引用统计
文献类型	期刊论文
条目标识符	https://kms.wmu.edu.cn/handle/3ETUA0LF/182463
专题	附属第一医院第二临床医学院、附属第二医院、育英儿童医院第一临床医学院（信息与工程学院）、附属第一医院_麻醉科
通讯作者	Chen, Kun-Wei
作者单位	1.Department of Anesthesiology,Te First Afliated Hospital of Wenzhou Medical University,Wenzhou,325000,China; 2.Te Second Clinical Medical College,Wenzhou Medical University,Wenzhou,325035,China; 3.Department of Emergency,Te First Afliated Hospital of Wenzhou Medical University,Wenzhou,325000,China
第一作者单位	麻醉科
通讯作者单位	温州医科大学
第一作者的第一单位	麻醉科
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]. Emergency medicine international,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).