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Development and validation a simple scoring system to identify malignant pericardial effusion
BACKGROUND: Malignant pericardial effusion (MPE) is a serious complication in patients with advanced malignant tumors, which indicates a poor prognosis. However, its clinical manifestations lack specificity, making it challenging to distinguish MPE from benign pericardial effusion (BPE). The aim of...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9751446/ https://www.ncbi.nlm.nih.gov/pubmed/36531065 http://dx.doi.org/10.3389/fonc.2022.1012664 |
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author | Jin, Xiaxia Hu, Lingling Fang, Meidan Zheng, Qiaofei Yuan, Yuan Lu, Guoguang Li, Tao |
author_facet | Jin, Xiaxia Hu, Lingling Fang, Meidan Zheng, Qiaofei Yuan, Yuan Lu, Guoguang Li, Tao |
author_sort | Jin, Xiaxia |
collection | PubMed |
description | BACKGROUND: Malignant pericardial effusion (MPE) is a serious complication in patients with advanced malignant tumors, which indicates a poor prognosis. However, its clinical manifestations lack specificity, making it challenging to distinguish MPE from benign pericardial effusion (BPE). The aim of this study was to develop and validate a scoring system based on a nomogram to discriminate MPE from BPE through easy-to-obtain clinical parameters. METHODS: In this study, the patients with pericardial effusion who underwent diagnostic pericardiocentesis in Taizhou Hospital of Zhejiang Province from February 2013 to December 2021 were retrospectively analyzed. The eligible patients were divided into a training group (n = 161) and a validation group (n = 66) according to the admission time. The nomogram model was established using the meaningful indicators screened by the least absolute shrinkage and selection operator (LASSO) and multivariate logistic regression. Then, a new scoring system was constructed based on this nomogram model. RESULTS: The new scoring system included loss of weight (3 points), no fever (4 points), mediastinal lymph node enlargement (2 points), pleural effusion (6 points), effusion adenosine deaminase (ADA≦18U/L) (5 points), effusion lactate dehydrogenase (LDH>1033U/L) (7 points), and effusion carcinoembryonic antigen (CEA>4.9g/mL) (10 points). With the optimal cut-off value was 16 points, the area under the curve (AUC), specificity, sensitivity, positive predictive value (PPV), negative predictive value (NPV), positive likelihood ratio (PLR), negative likelihood ratio (NLR) for identifying MPE were 0.974, 95.1%, 91.0%, 85.6%, 96.8%, 10.56 and 0.05, respectively, in the training set and 0.950, 83.3%, 95.2%, 90.9%, 90.9%, 17.50, and 0.18, respectively, in the validation set. The scoring system also showed good diagnostic accuracy in differentiating MPE caused by lung cancer from tuberculous pericardial effusion (TPE) and MPE including atypical cell from BPE. CONCLUSION: The new scoring system based on seven easily available variables has good diagnostic value in distinguishing MPE from BPE. |
format | Online Article Text |
id | pubmed-9751446 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-97514462022-12-16 Development and validation a simple scoring system to identify malignant pericardial effusion Jin, Xiaxia Hu, Lingling Fang, Meidan Zheng, Qiaofei Yuan, Yuan Lu, Guoguang Li, Tao Front Oncol Oncology BACKGROUND: Malignant pericardial effusion (MPE) is a serious complication in patients with advanced malignant tumors, which indicates a poor prognosis. However, its clinical manifestations lack specificity, making it challenging to distinguish MPE from benign pericardial effusion (BPE). The aim of this study was to develop and validate a scoring system based on a nomogram to discriminate MPE from BPE through easy-to-obtain clinical parameters. METHODS: In this study, the patients with pericardial effusion who underwent diagnostic pericardiocentesis in Taizhou Hospital of Zhejiang Province from February 2013 to December 2021 were retrospectively analyzed. The eligible patients were divided into a training group (n = 161) and a validation group (n = 66) according to the admission time. The nomogram model was established using the meaningful indicators screened by the least absolute shrinkage and selection operator (LASSO) and multivariate logistic regression. Then, a new scoring system was constructed based on this nomogram model. RESULTS: The new scoring system included loss of weight (3 points), no fever (4 points), mediastinal lymph node enlargement (2 points), pleural effusion (6 points), effusion adenosine deaminase (ADA≦18U/L) (5 points), effusion lactate dehydrogenase (LDH>1033U/L) (7 points), and effusion carcinoembryonic antigen (CEA>4.9g/mL) (10 points). With the optimal cut-off value was 16 points, the area under the curve (AUC), specificity, sensitivity, positive predictive value (PPV), negative predictive value (NPV), positive likelihood ratio (PLR), negative likelihood ratio (NLR) for identifying MPE were 0.974, 95.1%, 91.0%, 85.6%, 96.8%, 10.56 and 0.05, respectively, in the training set and 0.950, 83.3%, 95.2%, 90.9%, 90.9%, 17.50, and 0.18, respectively, in the validation set. The scoring system also showed good diagnostic accuracy in differentiating MPE caused by lung cancer from tuberculous pericardial effusion (TPE) and MPE including atypical cell from BPE. CONCLUSION: The new scoring system based on seven easily available variables has good diagnostic value in distinguishing MPE from BPE. Frontiers Media S.A. 2022-12-01 /pmc/articles/PMC9751446/ /pubmed/36531065 http://dx.doi.org/10.3389/fonc.2022.1012664 Text en Copyright © 2022 Jin, Hu, Fang, Zheng, Yuan, Lu and Li https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Oncology Jin, Xiaxia Hu, Lingling Fang, Meidan Zheng, Qiaofei Yuan, Yuan Lu, Guoguang Li, Tao Development and validation a simple scoring system to identify malignant pericardial effusion |
title | Development and validation a simple scoring system to identify malignant pericardial effusion |
title_full | Development and validation a simple scoring system to identify malignant pericardial effusion |
title_fullStr | Development and validation a simple scoring system to identify malignant pericardial effusion |
title_full_unstemmed | Development and validation a simple scoring system to identify malignant pericardial effusion |
title_short | Development and validation a simple scoring system to identify malignant pericardial effusion |
title_sort | development and validation a simple scoring system to identify malignant pericardial effusion |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9751446/ https://www.ncbi.nlm.nih.gov/pubmed/36531065 http://dx.doi.org/10.3389/fonc.2022.1012664 |
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