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Echocardiography Nomogram for Predicting Survival among Chronic Lung Disease Patients with Severe Pulmonary Hypertension
Severe pulmonary hypertension in chronic lung diseases (severe CLD-PH) differs significantly from other types of PH in physiology and prognosis. We aimed to assess whether echocardiography helps predict long-term survival in patients with severe CLD-PH. This single-centre, observational cohort study...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8955171/ https://www.ncbi.nlm.nih.gov/pubmed/35329931 http://dx.doi.org/10.3390/jcm11061603 |
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author | Jiang, Rong Wang, Lan Zhao, Qin-Hua Wu, Cheng Yuan, Ping Wang, Shang Zhang, Rui Gong, Su-Gang Wu, Wen-Hui He, Jing Qiu, Hong-Ling Luo, Ci-Jun Liu, Jin-Ming Jing, Zhi-Cheng |
author_facet | Jiang, Rong Wang, Lan Zhao, Qin-Hua Wu, Cheng Yuan, Ping Wang, Shang Zhang, Rui Gong, Su-Gang Wu, Wen-Hui He, Jing Qiu, Hong-Ling Luo, Ci-Jun Liu, Jin-Ming Jing, Zhi-Cheng |
author_sort | Jiang, Rong |
collection | PubMed |
description | Severe pulmonary hypertension in chronic lung diseases (severe CLD-PH) differs significantly from other types of PH in physiology and prognosis. We aimed to assess whether echocardiography helps predict long-term survival in patients with severe CLD-PH. This single-centre, observational cohort study enrolled 100 patients with severe CLD-PH (mean pulmonary arterial pressure ≥35 mm Hg or ≥25 mm Hg with cardiac index <2.0 L/min/m(2) or pulmonary vascular resistance ≥6 Wood units) between 2009 and 2014. The population was randomly divided into a derivation and validation cohort in a 2:1 ratio. To construct a nomogram, a multivariable logistic regression model was applied, and scores were assigned based on the hazard ratio of independent echocardiographic predictors. Multivariate Cox hazards analysis identified the strongest predictors of mortality as pulmonary arterial systolic pressure (PASP), tricuspid annular plane systolic excursion, and right ventricular end-diastolic transverse dimension. The three independent predictors were entered into the nomogram. Compared with PASP alone, the nomogram resulted in an integrated discrimination improvement of 15.5% (95% confidence interval, 5.52–25.5%, p = 0.002) with a net improvement in model discrimination (C-statistic from 0.591 to 0.746). Using echocardiographic parameters, we established and validated a novel nomogram to predict all-cause death for patients with severe CLD-PH. |
format | Online Article Text |
id | pubmed-8955171 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-89551712022-03-26 Echocardiography Nomogram for Predicting Survival among Chronic Lung Disease Patients with Severe Pulmonary Hypertension Jiang, Rong Wang, Lan Zhao, Qin-Hua Wu, Cheng Yuan, Ping Wang, Shang Zhang, Rui Gong, Su-Gang Wu, Wen-Hui He, Jing Qiu, Hong-Ling Luo, Ci-Jun Liu, Jin-Ming Jing, Zhi-Cheng J Clin Med Article Severe pulmonary hypertension in chronic lung diseases (severe CLD-PH) differs significantly from other types of PH in physiology and prognosis. We aimed to assess whether echocardiography helps predict long-term survival in patients with severe CLD-PH. This single-centre, observational cohort study enrolled 100 patients with severe CLD-PH (mean pulmonary arterial pressure ≥35 mm Hg or ≥25 mm Hg with cardiac index <2.0 L/min/m(2) or pulmonary vascular resistance ≥6 Wood units) between 2009 and 2014. The population was randomly divided into a derivation and validation cohort in a 2:1 ratio. To construct a nomogram, a multivariable logistic regression model was applied, and scores were assigned based on the hazard ratio of independent echocardiographic predictors. Multivariate Cox hazards analysis identified the strongest predictors of mortality as pulmonary arterial systolic pressure (PASP), tricuspid annular plane systolic excursion, and right ventricular end-diastolic transverse dimension. The three independent predictors were entered into the nomogram. Compared with PASP alone, the nomogram resulted in an integrated discrimination improvement of 15.5% (95% confidence interval, 5.52–25.5%, p = 0.002) with a net improvement in model discrimination (C-statistic from 0.591 to 0.746). Using echocardiographic parameters, we established and validated a novel nomogram to predict all-cause death for patients with severe CLD-PH. MDPI 2022-03-14 /pmc/articles/PMC8955171/ /pubmed/35329931 http://dx.doi.org/10.3390/jcm11061603 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Jiang, Rong Wang, Lan Zhao, Qin-Hua Wu, Cheng Yuan, Ping Wang, Shang Zhang, Rui Gong, Su-Gang Wu, Wen-Hui He, Jing Qiu, Hong-Ling Luo, Ci-Jun Liu, Jin-Ming Jing, Zhi-Cheng Echocardiography Nomogram for Predicting Survival among Chronic Lung Disease Patients with Severe Pulmonary Hypertension |
title | Echocardiography Nomogram for Predicting Survival among Chronic Lung Disease Patients with Severe Pulmonary Hypertension |
title_full | Echocardiography Nomogram for Predicting Survival among Chronic Lung Disease Patients with Severe Pulmonary Hypertension |
title_fullStr | Echocardiography Nomogram for Predicting Survival among Chronic Lung Disease Patients with Severe Pulmonary Hypertension |
title_full_unstemmed | Echocardiography Nomogram for Predicting Survival among Chronic Lung Disease Patients with Severe Pulmonary Hypertension |
title_short | Echocardiography Nomogram for Predicting Survival among Chronic Lung Disease Patients with Severe Pulmonary Hypertension |
title_sort | echocardiography nomogram for predicting survival among chronic lung disease patients with severe pulmonary hypertension |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8955171/ https://www.ncbi.nlm.nih.gov/pubmed/35329931 http://dx.doi.org/10.3390/jcm11061603 |
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