Cargando…

Predicting the Severity of Esophageal Varices in Patients with Hepatic Cirrhosis Using Non-Invasive Markers

BACKGROUND: The presence and extent of severity of esophageal varices (EV) in patients with liver cirrhosis (LC) are predicted using noninvasive clinical, biochemical, and imaging parameters. The aim of this study was to investigate the accuracy of noninvasive predictors of EV, such as the platelet...

Descripción completa

Detalles Bibliográficos
Autores principales: Du, Yang-Chun, Jiang, Dan, Wu, Ji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10439804/
https://www.ncbi.nlm.nih.gov/pubmed/37602362
http://dx.doi.org/10.2147/RMHP.S418892
_version_ 1785093031657996288
author Du, Yang-Chun
Jiang, Dan
Wu, Ji
author_facet Du, Yang-Chun
Jiang, Dan
Wu, Ji
author_sort Du, Yang-Chun
collection PubMed
description BACKGROUND: The presence and extent of severity of esophageal varices (EV) in patients with liver cirrhosis (LC) are predicted using noninvasive clinical, biochemical, and imaging parameters. The aim of this study was to investigate the accuracy of noninvasive predictors of EV, such as the platelet count-to-spleen diameter ratio (PSR), platelet count-to-spleen volume ratio (PSVR), spleen size (SZ), and a combination of these markers in determining the severity of EV in patients with cirrhosis. METHODS: We recruited 82 inpatients with LC from the Department of Gastroenterology at the First Affiliated Hospital of Guangxi Medical University between January 2018 and December 2019 for this diagnostic investigation. All patients underwent endoscopy, ultrasound, computed tomography, and routine laboratory investigations. For the study, we evaluated and compared the diagnostic accuracy of PSR, PSVR, SZ, and their combinations. RESULTS: There were significant differences in the area under the receiver operating characteristic (ROC) curve (AUC) in the prediction of severe and moderate/severe EV for all the variables. PSR+PSVR had the highest AUC at 0.735 (95% CI: 0.626–0.826) and 0.765 (95% CI: 0.659–0.852) for predicting severe and moderate/severe EV, respectively. There were statistically significant differences in the AUCs (95% CI) for PSR, PSVR, and PSR+PSVR in predicting the existence of EV. As per the overall model quality chart, the combination of PSR+PSVR was the best indicator for detecting the presence of EV (AUC, 0.696; 95% CI: 0.584–0.792). CONCLUSION: In our study, we found that these noninvasive parameters could predict the extent of severity of EV in patients with LC. We anticipate the use of a combination of PSR + PSVR to emerge as the superior indicator as studies progress.
format Online
Article
Text
id pubmed-10439804
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Dove
record_format MEDLINE/PubMed
spelling pubmed-104398042023-08-20 Predicting the Severity of Esophageal Varices in Patients with Hepatic Cirrhosis Using Non-Invasive Markers Du, Yang-Chun Jiang, Dan Wu, Ji Risk Manag Healthc Policy Original Research BACKGROUND: The presence and extent of severity of esophageal varices (EV) in patients with liver cirrhosis (LC) are predicted using noninvasive clinical, biochemical, and imaging parameters. The aim of this study was to investigate the accuracy of noninvasive predictors of EV, such as the platelet count-to-spleen diameter ratio (PSR), platelet count-to-spleen volume ratio (PSVR), spleen size (SZ), and a combination of these markers in determining the severity of EV in patients with cirrhosis. METHODS: We recruited 82 inpatients with LC from the Department of Gastroenterology at the First Affiliated Hospital of Guangxi Medical University between January 2018 and December 2019 for this diagnostic investigation. All patients underwent endoscopy, ultrasound, computed tomography, and routine laboratory investigations. For the study, we evaluated and compared the diagnostic accuracy of PSR, PSVR, SZ, and their combinations. RESULTS: There were significant differences in the area under the receiver operating characteristic (ROC) curve (AUC) in the prediction of severe and moderate/severe EV for all the variables. PSR+PSVR had the highest AUC at 0.735 (95% CI: 0.626–0.826) and 0.765 (95% CI: 0.659–0.852) for predicting severe and moderate/severe EV, respectively. There were statistically significant differences in the AUCs (95% CI) for PSR, PSVR, and PSR+PSVR in predicting the existence of EV. As per the overall model quality chart, the combination of PSR+PSVR was the best indicator for detecting the presence of EV (AUC, 0.696; 95% CI: 0.584–0.792). CONCLUSION: In our study, we found that these noninvasive parameters could predict the extent of severity of EV in patients with LC. We anticipate the use of a combination of PSR + PSVR to emerge as the superior indicator as studies progress. Dove 2023-08-15 /pmc/articles/PMC10439804/ /pubmed/37602362 http://dx.doi.org/10.2147/RMHP.S418892 Text en © 2023 Du et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Du, Yang-Chun
Jiang, Dan
Wu, Ji
Predicting the Severity of Esophageal Varices in Patients with Hepatic Cirrhosis Using Non-Invasive Markers
title Predicting the Severity of Esophageal Varices in Patients with Hepatic Cirrhosis Using Non-Invasive Markers
title_full Predicting the Severity of Esophageal Varices in Patients with Hepatic Cirrhosis Using Non-Invasive Markers
title_fullStr Predicting the Severity of Esophageal Varices in Patients with Hepatic Cirrhosis Using Non-Invasive Markers
title_full_unstemmed Predicting the Severity of Esophageal Varices in Patients with Hepatic Cirrhosis Using Non-Invasive Markers
title_short Predicting the Severity of Esophageal Varices in Patients with Hepatic Cirrhosis Using Non-Invasive Markers
title_sort predicting the severity of esophageal varices in patients with hepatic cirrhosis using non-invasive markers
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10439804/
https://www.ncbi.nlm.nih.gov/pubmed/37602362
http://dx.doi.org/10.2147/RMHP.S418892
work_keys_str_mv AT duyangchun predictingtheseverityofesophagealvaricesinpatientswithhepaticcirrhosisusingnoninvasivemarkers
AT jiangdan predictingtheseverityofesophagealvaricesinpatientswithhepaticcirrhosisusingnoninvasivemarkers
AT wuji predictingtheseverityofesophagealvaricesinpatientswithhepaticcirrhosisusingnoninvasivemarkers