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Cardiopulmonary exercise testing and pulmonary function testing for predicting the severity of CTEPH
BACKGROUND: Cardiopulmonary exercise testing (CPET) and pulmonary function testing (PFT) are noninvasive methods to evaluate the respiratory and circulatory systems. This research aims to evaluate and monitor chronic thromboembolic pulmonary hypertension (CTEPH) noninvasively and effectively by thes...
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/PMC8521985/ https://www.ncbi.nlm.nih.gov/pubmed/34663275 http://dx.doi.org/10.1186/s12890-021-01668-3 |
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author | Zhu, Hanqing Sun, Xingxing Cao, Yuan Pudasaini, Bigyan Yang, Wenlan Liu, Jinming Guo, Jian |
author_facet | Zhu, Hanqing Sun, Xingxing Cao, Yuan Pudasaini, Bigyan Yang, Wenlan Liu, Jinming Guo, Jian |
author_sort | Zhu, Hanqing |
collection | PubMed |
description | BACKGROUND: Cardiopulmonary exercise testing (CPET) and pulmonary function testing (PFT) are noninvasive methods to evaluate the respiratory and circulatory systems. This research aims to evaluate and monitor chronic thromboembolic pulmonary hypertension (CTEPH) noninvasively and effectively by these two methods. Moreover, the research assesses the predictive value of CPET and PFT parameters for severe CTEPH. METHODS: We used data from 86 patients with CTEPH (55 for test set, and 31 for validation set) at the Shanghai Pulmonary Hospital Affiliated to Tongji University. The clinical, PFT and CPET data of CTEPH patients of different severity classified according to pulmonary artery pressure (PAP) (mm Hg) were collected and compared. Logistic regression analysis was performed to appraise the predictive value of each PFT and CPET parameter for severe CTEPH. The performance of CPET parameters for predicting severe CTEPH was determined by receiver operating characteristic (ROC) curves and calibration curves. RESULTS: Data showed that minute ventilation at anaerobic threshold (VE @ AT) (L/min) and oxygen uptake at peak (VO(2) @ peak) (mL/kg/min) were independent predictors for severe CTEPH classified according to PAP (mm Hg). Additionally, the efficacy of VE @ AT (L/min) and VO(2) @ peak (mL/kg/min) in identifying severe CTEPH was found to be moderate with the area under ROC curve (AUC) of 0.769 and 0.740, respectively. Furthermore, the combination of VE @ AT (L/min) and VO(2) @ peak (mL/kg/min) had a moderate utility value in identifying severe CTEPH with the AUC of 0.843. CONCLUSION: Our research suggests that CPET and PFT can noninvasively and effectively evaluate, monitor and predict the severity of CTEPH. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12890-021-01668-3. |
format | Online Article Text |
id | pubmed-8521985 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-85219852021-10-21 Cardiopulmonary exercise testing and pulmonary function testing for predicting the severity of CTEPH Zhu, Hanqing Sun, Xingxing Cao, Yuan Pudasaini, Bigyan Yang, Wenlan Liu, Jinming Guo, Jian BMC Pulm Med Research BACKGROUND: Cardiopulmonary exercise testing (CPET) and pulmonary function testing (PFT) are noninvasive methods to evaluate the respiratory and circulatory systems. This research aims to evaluate and monitor chronic thromboembolic pulmonary hypertension (CTEPH) noninvasively and effectively by these two methods. Moreover, the research assesses the predictive value of CPET and PFT parameters for severe CTEPH. METHODS: We used data from 86 patients with CTEPH (55 for test set, and 31 for validation set) at the Shanghai Pulmonary Hospital Affiliated to Tongji University. The clinical, PFT and CPET data of CTEPH patients of different severity classified according to pulmonary artery pressure (PAP) (mm Hg) were collected and compared. Logistic regression analysis was performed to appraise the predictive value of each PFT and CPET parameter for severe CTEPH. The performance of CPET parameters for predicting severe CTEPH was determined by receiver operating characteristic (ROC) curves and calibration curves. RESULTS: Data showed that minute ventilation at anaerobic threshold (VE @ AT) (L/min) and oxygen uptake at peak (VO(2) @ peak) (mL/kg/min) were independent predictors for severe CTEPH classified according to PAP (mm Hg). Additionally, the efficacy of VE @ AT (L/min) and VO(2) @ peak (mL/kg/min) in identifying severe CTEPH was found to be moderate with the area under ROC curve (AUC) of 0.769 and 0.740, respectively. Furthermore, the combination of VE @ AT (L/min) and VO(2) @ peak (mL/kg/min) had a moderate utility value in identifying severe CTEPH with the AUC of 0.843. CONCLUSION: Our research suggests that CPET and PFT can noninvasively and effectively evaluate, monitor and predict the severity of CTEPH. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12890-021-01668-3. BioMed Central 2021-10-18 /pmc/articles/PMC8521985/ /pubmed/34663275 http://dx.doi.org/10.1186/s12890-021-01668-3 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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 Zhu, Hanqing Sun, Xingxing Cao, Yuan Pudasaini, Bigyan Yang, Wenlan Liu, Jinming Guo, Jian Cardiopulmonary exercise testing and pulmonary function testing for predicting the severity of CTEPH |
title | Cardiopulmonary exercise testing and pulmonary function testing for predicting the severity of CTEPH |
title_full | Cardiopulmonary exercise testing and pulmonary function testing for predicting the severity of CTEPH |
title_fullStr | Cardiopulmonary exercise testing and pulmonary function testing for predicting the severity of CTEPH |
title_full_unstemmed | Cardiopulmonary exercise testing and pulmonary function testing for predicting the severity of CTEPH |
title_short | Cardiopulmonary exercise testing and pulmonary function testing for predicting the severity of CTEPH |
title_sort | cardiopulmonary exercise testing and pulmonary function testing for predicting the severity of cteph |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8521985/ https://www.ncbi.nlm.nih.gov/pubmed/34663275 http://dx.doi.org/10.1186/s12890-021-01668-3 |
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