Cargando…

Development and validation of a prediction model of deep venous thrombosis for patients with acute poisoning following hemoperfusion: a retrospective analysis

OBJECTIVE: To develop and confirm an individualized predictive model to ascertain the probability of deep venous thrombosis in patients with acute poisoning after undergoing hemoperfusion. METHODS: Three hundred eleven patients with acute poisoning who were admitted to a hospital in China between Oc...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Xiuqin, Liu, Jing, Cui, Siqi, Jian, Tianzi, Ma, Shuang, Shi, Longke, Lin, Ying, Zhang, Juan, Zheng, Yingying, Zhang, Yanxia, Jian, Xiangdong, Luan, Xiaorong, Kan, Baotian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9021492/
https://www.ncbi.nlm.nih.gov/pubmed/35437041
http://dx.doi.org/10.1177/03000605221089779
_version_ 1784689838593671168
author Li, Xiuqin
Liu, Jing
Cui, Siqi
Jian, Tianzi
Ma, Shuang
Shi, Longke
Lin, Ying
Zhang, Juan
Zheng, Yingying
Zhang, Yanxia
Jian, Xiangdong
Luan, Xiaorong
Kan, Baotian
author_facet Li, Xiuqin
Liu, Jing
Cui, Siqi
Jian, Tianzi
Ma, Shuang
Shi, Longke
Lin, Ying
Zhang, Juan
Zheng, Yingying
Zhang, Yanxia
Jian, Xiangdong
Luan, Xiaorong
Kan, Baotian
author_sort Li, Xiuqin
collection PubMed
description OBJECTIVE: To develop and confirm an individualized predictive model to ascertain the probability of deep venous thrombosis in patients with acute poisoning after undergoing hemoperfusion. METHODS: Three hundred eleven patients with acute poisoning who were admitted to a hospital in China between October 2017 and February 2019 were included in the development group. Eighty patients with acute poisoning who were admitted between February and May 2019 were included in the validation group. The independent risk factors for deep venous thrombosis were examined. An individualized predictive model was developed using regression coefficients. RESULTS: The number of catheter indwelling days, having a catheter while being transported, elevated serum homocysteine concentrations, and dyslipidemia were independent risk factors for deep venous thrombosis following hemoperfusion in patients with acute poisoning. The areas under the receiver operating characteristic curve of the development and validation groups were 0.713 and 0.702, respectively, which suggested that the prediction model had good discrimination capacity. The calibration belts of the two groups were ideal. CONCLUSIONS: Our prediction model has a moderate predictive effect for the occurrence of deep venous thrombosis in patients with acute poisoning. In clinical practice, this model could be combined with a common thrombosis risk assessment model.
format Online
Article
Text
id pubmed-9021492
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher SAGE Publications
record_format MEDLINE/PubMed
spelling pubmed-90214922022-04-22 Development and validation of a prediction model of deep venous thrombosis for patients with acute poisoning following hemoperfusion: a retrospective analysis Li, Xiuqin Liu, Jing Cui, Siqi Jian, Tianzi Ma, Shuang Shi, Longke Lin, Ying Zhang, Juan Zheng, Yingying Zhang, Yanxia Jian, Xiangdong Luan, Xiaorong Kan, Baotian J Int Med Res Retrospective Clinical Research Report OBJECTIVE: To develop and confirm an individualized predictive model to ascertain the probability of deep venous thrombosis in patients with acute poisoning after undergoing hemoperfusion. METHODS: Three hundred eleven patients with acute poisoning who were admitted to a hospital in China between October 2017 and February 2019 were included in the development group. Eighty patients with acute poisoning who were admitted between February and May 2019 were included in the validation group. The independent risk factors for deep venous thrombosis were examined. An individualized predictive model was developed using regression coefficients. RESULTS: The number of catheter indwelling days, having a catheter while being transported, elevated serum homocysteine concentrations, and dyslipidemia were independent risk factors for deep venous thrombosis following hemoperfusion in patients with acute poisoning. The areas under the receiver operating characteristic curve of the development and validation groups were 0.713 and 0.702, respectively, which suggested that the prediction model had good discrimination capacity. The calibration belts of the two groups were ideal. CONCLUSIONS: Our prediction model has a moderate predictive effect for the occurrence of deep venous thrombosis in patients with acute poisoning. In clinical practice, this model could be combined with a common thrombosis risk assessment model. SAGE Publications 2022-04-18 /pmc/articles/PMC9021492/ /pubmed/35437041 http://dx.doi.org/10.1177/03000605221089779 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc/4.0/Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Retrospective Clinical Research Report
Li, Xiuqin
Liu, Jing
Cui, Siqi
Jian, Tianzi
Ma, Shuang
Shi, Longke
Lin, Ying
Zhang, Juan
Zheng, Yingying
Zhang, Yanxia
Jian, Xiangdong
Luan, Xiaorong
Kan, Baotian
Development and validation of a prediction model of deep venous thrombosis for patients with acute poisoning following hemoperfusion: a retrospective analysis
title Development and validation of a prediction model of deep venous thrombosis for patients with acute poisoning following hemoperfusion: a retrospective analysis
title_full Development and validation of a prediction model of deep venous thrombosis for patients with acute poisoning following hemoperfusion: a retrospective analysis
title_fullStr Development and validation of a prediction model of deep venous thrombosis for patients with acute poisoning following hemoperfusion: a retrospective analysis
title_full_unstemmed Development and validation of a prediction model of deep venous thrombosis for patients with acute poisoning following hemoperfusion: a retrospective analysis
title_short Development and validation of a prediction model of deep venous thrombosis for patients with acute poisoning following hemoperfusion: a retrospective analysis
title_sort development and validation of a prediction model of deep venous thrombosis for patients with acute poisoning following hemoperfusion: a retrospective analysis
topic Retrospective Clinical Research Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9021492/
https://www.ncbi.nlm.nih.gov/pubmed/35437041
http://dx.doi.org/10.1177/03000605221089779
work_keys_str_mv AT lixiuqin developmentandvalidationofapredictionmodelofdeepvenousthrombosisforpatientswithacutepoisoningfollowinghemoperfusionaretrospectiveanalysis
AT liujing developmentandvalidationofapredictionmodelofdeepvenousthrombosisforpatientswithacutepoisoningfollowinghemoperfusionaretrospectiveanalysis
AT cuisiqi developmentandvalidationofapredictionmodelofdeepvenousthrombosisforpatientswithacutepoisoningfollowinghemoperfusionaretrospectiveanalysis
AT jiantianzi developmentandvalidationofapredictionmodelofdeepvenousthrombosisforpatientswithacutepoisoningfollowinghemoperfusionaretrospectiveanalysis
AT mashuang developmentandvalidationofapredictionmodelofdeepvenousthrombosisforpatientswithacutepoisoningfollowinghemoperfusionaretrospectiveanalysis
AT shilongke developmentandvalidationofapredictionmodelofdeepvenousthrombosisforpatientswithacutepoisoningfollowinghemoperfusionaretrospectiveanalysis
AT linying developmentandvalidationofapredictionmodelofdeepvenousthrombosisforpatientswithacutepoisoningfollowinghemoperfusionaretrospectiveanalysis
AT zhangjuan developmentandvalidationofapredictionmodelofdeepvenousthrombosisforpatientswithacutepoisoningfollowinghemoperfusionaretrospectiveanalysis
AT zhengyingying developmentandvalidationofapredictionmodelofdeepvenousthrombosisforpatientswithacutepoisoningfollowinghemoperfusionaretrospectiveanalysis
AT zhangyanxia developmentandvalidationofapredictionmodelofdeepvenousthrombosisforpatientswithacutepoisoningfollowinghemoperfusionaretrospectiveanalysis
AT jianxiangdong developmentandvalidationofapredictionmodelofdeepvenousthrombosisforpatientswithacutepoisoningfollowinghemoperfusionaretrospectiveanalysis
AT luanxiaorong developmentandvalidationofapredictionmodelofdeepvenousthrombosisforpatientswithacutepoisoningfollowinghemoperfusionaretrospectiveanalysis
AT kanbaotian developmentandvalidationofapredictionmodelofdeepvenousthrombosisforpatientswithacutepoisoningfollowinghemoperfusionaretrospectiveanalysis