Development and validation of a predictive model for pulmonary hemorrhage in computed tomography-guided percutaneous lung biopsy

doi:10.1093/postmj/qgad061

科研成果详情

题名	Development and validation of a predictive model for pulmonary hemorrhage in computed tomography-guided percutaneous lung biopsy
作者	Yang, Song1,2; Li, Jie 3; Wang, Wangjia2; Lou, Lejing2; Jin, Xiao2; Wang, Shijia2; Cai, Jihao 4; Cai, Chang2
发表日期	2023-10-19
发表期刊	Postgraduate medical journal 影响因子和分区
语种	英语
原始文献类型	Journal Article
关键词	higher-grade pulmonary hemorrhage lung biopsy nomogram predictive model pulmonary hemorrhage
其他关键词	CORE NEEDLE-BIOPSY ; RISK-FACTORS ; MULTIVARIATE-ANALYSIS ; HEMOPTYSIS ; COMPLICATIONS ; PNEUMOTHORAX
摘要	This study aimed to identify risk factors for pulmonary hemorrhage (PH) and higher-grade PH that complicate computed tomography (CT)-guided percutaneous lung biopsy (CT-PNLB) and establish predictive models to quantify the risk., A total of 2653 cases of CT-PNLB were enrolled. Multivariate logistic regression was used to identify independent risk factors to develop a nomogram prediction model. The model was assessed using the area under the curve (AUC) of the receiver operator characteristic (ROC) and calibration curves and validated in the validation group., PH occurred in 23.52% (624/2653) of cases, and higher-grade PH occurred in 7.09% (188/2653) of cases. The parameters of lesion size, puncture depth, and contact to pleura were identified as risk factors of PH and higher-grade PH in the logistic regression model, besides the position as a risk factor for PH. The AUC of the PH prediction model was 0.776 [95% confidence interval (CI): 0.752-0.800], whereas that of the validation group was 0.743 (95% CI: 0.706-0.780). The AUC of the higher-grade PH prediction model was 0.782 (95% CI: 0.742-0.832), whereas that of the validation group was 0.769 (95% CI: 0.716-0.822). The calibration curves of the model showed good agreement between the predicted and actual probability in the development and validation groups., We identified risk factors associated with PH and higher-grade PH after PNLBs. Furthermore, we developed and validated two risk prediction models for PNLB-related PH and higher-grade PH risk prediction and clinical decision support.
资助项目	Research Project of Education Department of Zhejiang Province[Y202045531];Wenzhou Science and Technology Bureau;Wenzhou Basic Scientific Research Project[Y2020003]
出版者	OXFORD UNIV PRESS
ISSN	0032-5473
EISSN	1469-0756
卷号	99 期号:1177 页码:1173-1181
DOI	10.1093/postmj/qgad061
页数	9
WOS类目	Medicine, General & Internal
WOS研究方向	General & Internal Medicine
WOS记录号	WOS:001036765100001
收录类别	PUBMED ; SCIE ; SCOPUS
在线发表日期	2023-07
URL	查看原文
PubMed ID	37516454
SCOPUSEID	2-s2.0-85183704365
通讯作者地址	[Cai, Chang]Department of Respiratory and Critical Care Medicine,The First Affiliated Hospital of Wenzhou Medical University,Nanbaixiang Street, Ouhai District,Wenzhou,325000,China
Scopus学科分类	Medicine (all)
引用统计
文献类型	期刊论文
条目标识符	https://kms.wmu.edu.cn/handle/3ETUA0LF/181767
专题	附属第一医院仁济学院
通讯作者	Cai, Chang
作者单位	1.Department of Nephrology,Wenzhou Central Hospital,Wenzhou,325000,China; 2.Department of Respiratory and Critical Care Medicine,The First Affiliated Hospital of Wenzhou Medical University,Wenzhou,325000,China; 3.Key Laboratory of Diagnosis and Treatment of Severe Hepato-Pancreatic Diseases of Zhejiang Province,The First Affiliated Hospital of Wenzhou Medical University,Wenzhou,325000,China; 4.Renji College,Wenzhou Medical University,Wenzhou,325000,China
第一作者单位	附属第一医院
通讯作者单位	附属第一医院
推荐引用方式 GB/T 7714	Yang, Song,Li, Jie,Wang, Wangjia,et al. Development and validation of a predictive model for pulmonary hemorrhage in computed tomography-guided percutaneous lung biopsy[J]. Postgraduate medical journal,2023,99(1177):1173-1181.
APA	Yang, Song., Li, Jie., Wang, Wangjia., Lou, Lejing., Jin, Xiao., ... & Cai, Chang. (2023). Development and validation of a predictive model for pulmonary hemorrhage in computed tomography-guided percutaneous lung biopsy. Postgraduate medical journal, 99(1177), 1173-1181.
MLA	Yang, Song,et al."Development and validation of a predictive model for pulmonary hemorrhage in computed tomography-guided percutaneous lung biopsy".Postgraduate medical journal 99.1177(2023):1173-1181.