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Health risk stratification based on computed tomography pulmonary artery obstruction index for acute pulmonary embolism

Early effective identification of high-risk patients for acute pulmonary embolism (APE) contributes to timely treatment. The pulmonary artery obstruction index (PAOI) in computed tomography angiography (CTA) is a semi-quantitative observation index, commonly used to evaluate the severity of a patien...

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Autores principales: Guo, Fei, Zhu, Guanghui, Shen, Junjie, Ma, Yichuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6297138/
https://www.ncbi.nlm.nih.gov/pubmed/30559454
http://dx.doi.org/10.1038/s41598-018-36115-7
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author Guo, Fei
Zhu, Guanghui
Shen, Junjie
Ma, Yichuan
author_facet Guo, Fei
Zhu, Guanghui
Shen, Junjie
Ma, Yichuan
author_sort Guo, Fei
collection PubMed
description Early effective identification of high-risk patients for acute pulmonary embolism (APE) contributes to timely treatment. The pulmonary artery obstruction index (PAOI) in computed tomography angiography (CTA) is a semi-quantitative observation index, commonly used to evaluate the severity of a patient’s condition. This study explores the ability of PAOI to assess the risk stratification of APE. Thirty patients with APE were analysed. They were classified according to the guidelines, and the PAOI and cardiovascular parameters were measured in CTA. The difference of PAOI between different risk stratification patients was compared, and the predictive value of the PAOI for high-risk stratification was evaluated by the receiver operating characteristic curve. The correlation between PAOI and cardiovascular parameters was also analysed by Spearman correlation analysis. The PAOI in low- and high-risk patients was (33.2 ± 18.6)% and (68.1 ± 11.8)% respectively, and the difference was statistically significant. The PAOI was strongly predictive for high-risk patients. The cut-off value was 52.5%, with a sensitivity of 100% and specificity of 81.0%. The PAOI was correlated with the main cardiovascular parameters. We conclude that the PAOI in CTA is helpful for assessing risk stratification in patients with APE, which contributes to the selection of both the treatment plan and prognostic evaluation.
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spelling pubmed-62971382018-12-26 Health risk stratification based on computed tomography pulmonary artery obstruction index for acute pulmonary embolism Guo, Fei Zhu, Guanghui Shen, Junjie Ma, Yichuan Sci Rep Article Early effective identification of high-risk patients for acute pulmonary embolism (APE) contributes to timely treatment. The pulmonary artery obstruction index (PAOI) in computed tomography angiography (CTA) is a semi-quantitative observation index, commonly used to evaluate the severity of a patient’s condition. This study explores the ability of PAOI to assess the risk stratification of APE. Thirty patients with APE were analysed. They were classified according to the guidelines, and the PAOI and cardiovascular parameters were measured in CTA. The difference of PAOI between different risk stratification patients was compared, and the predictive value of the PAOI for high-risk stratification was evaluated by the receiver operating characteristic curve. The correlation between PAOI and cardiovascular parameters was also analysed by Spearman correlation analysis. The PAOI in low- and high-risk patients was (33.2 ± 18.6)% and (68.1 ± 11.8)% respectively, and the difference was statistically significant. The PAOI was strongly predictive for high-risk patients. The cut-off value was 52.5%, with a sensitivity of 100% and specificity of 81.0%. The PAOI was correlated with the main cardiovascular parameters. We conclude that the PAOI in CTA is helpful for assessing risk stratification in patients with APE, which contributes to the selection of both the treatment plan and prognostic evaluation. Nature Publishing Group UK 2018-12-17 /pmc/articles/PMC6297138/ /pubmed/30559454 http://dx.doi.org/10.1038/s41598-018-36115-7 Text en © The Author(s) 2018 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Guo, Fei
Zhu, Guanghui
Shen, Junjie
Ma, Yichuan
Health risk stratification based on computed tomography pulmonary artery obstruction index for acute pulmonary embolism
title Health risk stratification based on computed tomography pulmonary artery obstruction index for acute pulmonary embolism
title_full Health risk stratification based on computed tomography pulmonary artery obstruction index for acute pulmonary embolism
title_fullStr Health risk stratification based on computed tomography pulmonary artery obstruction index for acute pulmonary embolism
title_full_unstemmed Health risk stratification based on computed tomography pulmonary artery obstruction index for acute pulmonary embolism
title_short Health risk stratification based on computed tomography pulmonary artery obstruction index for acute pulmonary embolism
title_sort health risk stratification based on computed tomography pulmonary artery obstruction index for acute pulmonary embolism
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6297138/
https://www.ncbi.nlm.nih.gov/pubmed/30559454
http://dx.doi.org/10.1038/s41598-018-36115-7
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