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Individualized predictions of early isolated distal deep vein thrombosis in patients with acute ischemic stroke: a retrospective study
BACKGROUND: Although isolated distal deep vein thrombosis (IDDVT) is a clinical complication for acute ischemic stroke (AIS) patients, very few clinicians value it and few methods can predict early IDDVT. This study aimed to establish and validate an individualized predictive nomogram for the risk o...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7908755/ https://www.ncbi.nlm.nih.gov/pubmed/33632136 http://dx.doi.org/10.1186/s12877-021-02088-y |
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author | Cheng, Hao-Ran Huang, Gui-Qian Wu, Zi-Qian Wu, Yue-Min Lin, Gang-Qiang Song, Jia-Ying Liu, Yun-Tao Luan, Xiao-Qian Yuan, Zheng-Zhong Zhu, Wen-Zong He, Jin-Cai Wang, Zhen |
author_facet | Cheng, Hao-Ran Huang, Gui-Qian Wu, Zi-Qian Wu, Yue-Min Lin, Gang-Qiang Song, Jia-Ying Liu, Yun-Tao Luan, Xiao-Qian Yuan, Zheng-Zhong Zhu, Wen-Zong He, Jin-Cai Wang, Zhen |
author_sort | Cheng, Hao-Ran |
collection | PubMed |
description | BACKGROUND: Although isolated distal deep vein thrombosis (IDDVT) is a clinical complication for acute ischemic stroke (AIS) patients, very few clinicians value it and few methods can predict early IDDVT. This study aimed to establish and validate an individualized predictive nomogram for the risk of early IDDVT in AIS patients. METHODS: This study enrolled 647 consecutive AIS patients who were randomly divided into a training cohort (n = 431) and a validation cohort (n = 216). Based on logistic analyses in training cohort, a nomogram was constructed to predict early IDDVT. The nomogram was then validated using area under the receiver operating characteristic curve (AUROC) and calibration plots. RESULTS: The multivariate logistic regression analysis revealed that age, gender, lower limb paralysis, current pneumonia, atrial fibrillation and malignant tumor were independent risk factors of early IDDVT; these variables were integrated to construct the nomogram. Calibration plots revealed acceptable agreement between the predicted and actual IDDVT probabilities in both the training and validation cohorts. The nomogram had AUROC values of 0.767 (95% CI: 0.742–0.806) and 0.820 (95% CI: 0.762–0.869) in the training and validation cohorts, respectively. Additionally, in the validation cohort, the AUROC of the nomogram was higher than those of the other scores for predicting IDDVT. CONCLUSIONS: The present nomogram provides clinicians with a novel and easy-to-use tool for the prediction of the individualized risk of IDDVT in the early stages of AIS, which would be helpful to initiate imaging examination and interventions timely. |
format | Online Article Text |
id | pubmed-7908755 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-79087552021-02-26 Individualized predictions of early isolated distal deep vein thrombosis in patients with acute ischemic stroke: a retrospective study Cheng, Hao-Ran Huang, Gui-Qian Wu, Zi-Qian Wu, Yue-Min Lin, Gang-Qiang Song, Jia-Ying Liu, Yun-Tao Luan, Xiao-Qian Yuan, Zheng-Zhong Zhu, Wen-Zong He, Jin-Cai Wang, Zhen BMC Geriatr Research Article BACKGROUND: Although isolated distal deep vein thrombosis (IDDVT) is a clinical complication for acute ischemic stroke (AIS) patients, very few clinicians value it and few methods can predict early IDDVT. This study aimed to establish and validate an individualized predictive nomogram for the risk of early IDDVT in AIS patients. METHODS: This study enrolled 647 consecutive AIS patients who were randomly divided into a training cohort (n = 431) and a validation cohort (n = 216). Based on logistic analyses in training cohort, a nomogram was constructed to predict early IDDVT. The nomogram was then validated using area under the receiver operating characteristic curve (AUROC) and calibration plots. RESULTS: The multivariate logistic regression analysis revealed that age, gender, lower limb paralysis, current pneumonia, atrial fibrillation and malignant tumor were independent risk factors of early IDDVT; these variables were integrated to construct the nomogram. Calibration plots revealed acceptable agreement between the predicted and actual IDDVT probabilities in both the training and validation cohorts. The nomogram had AUROC values of 0.767 (95% CI: 0.742–0.806) and 0.820 (95% CI: 0.762–0.869) in the training and validation cohorts, respectively. Additionally, in the validation cohort, the AUROC of the nomogram was higher than those of the other scores for predicting IDDVT. CONCLUSIONS: The present nomogram provides clinicians with a novel and easy-to-use tool for the prediction of the individualized risk of IDDVT in the early stages of AIS, which would be helpful to initiate imaging examination and interventions timely. BioMed Central 2021-02-25 /pmc/articles/PMC7908755/ /pubmed/33632136 http://dx.doi.org/10.1186/s12877-021-02088-y Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Cheng, Hao-Ran Huang, Gui-Qian Wu, Zi-Qian Wu, Yue-Min Lin, Gang-Qiang Song, Jia-Ying Liu, Yun-Tao Luan, Xiao-Qian Yuan, Zheng-Zhong Zhu, Wen-Zong He, Jin-Cai Wang, Zhen Individualized predictions of early isolated distal deep vein thrombosis in patients with acute ischemic stroke: a retrospective study |
title | Individualized predictions of early isolated distal deep vein thrombosis in patients with acute ischemic stroke: a retrospective study |
title_full | Individualized predictions of early isolated distal deep vein thrombosis in patients with acute ischemic stroke: a retrospective study |
title_fullStr | Individualized predictions of early isolated distal deep vein thrombosis in patients with acute ischemic stroke: a retrospective study |
title_full_unstemmed | Individualized predictions of early isolated distal deep vein thrombosis in patients with acute ischemic stroke: a retrospective study |
title_short | Individualized predictions of early isolated distal deep vein thrombosis in patients with acute ischemic stroke: a retrospective study |
title_sort | individualized predictions of early isolated distal deep vein thrombosis in patients with acute ischemic stroke: a retrospective study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7908755/ https://www.ncbi.nlm.nih.gov/pubmed/33632136 http://dx.doi.org/10.1186/s12877-021-02088-y |
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