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Patients with Clinically Suspected Gallstone Disease: A More Selective Ultrasound May Improve Treatment Related Outcomes

This study aimed to quantify the confirmation of gallstones on ultrasound (US) in patients with suspicion of gallstone disease. To aid general practitioners (GPs) in diagnostic workup, a model to predict gallstones was developed. A prospective cohort study was conducted in two Dutch general hospital...

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Autores principales: Thunnissen, Floris M., Comes, Daan J., Geenen, Remy W. F., Riviere, Deniece, Latenstein, Carmen S. S., Lantinga, Marten A., Schers, Henk J., van Laarhoven, Cornelis J. H. M., Drenth, Joost P. H., Atsma, Femke, de Reuver, Philip R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10299283/
https://www.ncbi.nlm.nih.gov/pubmed/37373855
http://dx.doi.org/10.3390/jcm12124162
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author Thunnissen, Floris M.
Comes, Daan J.
Geenen, Remy W. F.
Riviere, Deniece
Latenstein, Carmen S. S.
Lantinga, Marten A.
Schers, Henk J.
van Laarhoven, Cornelis J. H. M.
Drenth, Joost P. H.
Atsma, Femke
de Reuver, Philip R.
author_facet Thunnissen, Floris M.
Comes, Daan J.
Geenen, Remy W. F.
Riviere, Deniece
Latenstein, Carmen S. S.
Lantinga, Marten A.
Schers, Henk J.
van Laarhoven, Cornelis J. H. M.
Drenth, Joost P. H.
Atsma, Femke
de Reuver, Philip R.
author_sort Thunnissen, Floris M.
collection PubMed
description This study aimed to quantify the confirmation of gallstones on ultrasound (US) in patients with suspicion of gallstone disease. To aid general practitioners (GPs) in diagnostic workup, a model to predict gallstones was developed. A prospective cohort study was conducted in two Dutch general hospitals. Patients (≥18 years) were eligible for inclusion when referred by GPs for US with suspicion of gallstones. The primary outcome was the confirmation of gallstones on US. A multivariable regression model was developed to predict the presence of gallstones. In total, 177 patients were referred with a clinical suspicion of gallstones. Gallstones were found in 64 of 177 patients (36.2%). Patients with gallstones reported higher pain scores (VAS 8.0 vs. 6.0, p < 0.001), less frequent pain (21.9% vs. 54.9%, p < 0.001), and more often met criteria for biliary colic (62.5% vs. 44.2%, p = 0.023). Predictors for the presence of gallstones were a higher pain score, frequency of pain less than weekly, biliary colic, and an absence of heartburn. The model showed good discrimination between patients with and without gallstones (C-statistic 0.73, range: 0.68–0.76). Clinical diagnosis of symptomatic gallstone disease is challenging. The model developed in this study may aid in the selection of patients for referral and improve treatment related outcomes.
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spelling pubmed-102992832023-06-28 Patients with Clinically Suspected Gallstone Disease: A More Selective Ultrasound May Improve Treatment Related Outcomes Thunnissen, Floris M. Comes, Daan J. Geenen, Remy W. F. Riviere, Deniece Latenstein, Carmen S. S. Lantinga, Marten A. Schers, Henk J. van Laarhoven, Cornelis J. H. M. Drenth, Joost P. H. Atsma, Femke de Reuver, Philip R. J Clin Med Article This study aimed to quantify the confirmation of gallstones on ultrasound (US) in patients with suspicion of gallstone disease. To aid general practitioners (GPs) in diagnostic workup, a model to predict gallstones was developed. A prospective cohort study was conducted in two Dutch general hospitals. Patients (≥18 years) were eligible for inclusion when referred by GPs for US with suspicion of gallstones. The primary outcome was the confirmation of gallstones on US. A multivariable regression model was developed to predict the presence of gallstones. In total, 177 patients were referred with a clinical suspicion of gallstones. Gallstones were found in 64 of 177 patients (36.2%). Patients with gallstones reported higher pain scores (VAS 8.0 vs. 6.0, p < 0.001), less frequent pain (21.9% vs. 54.9%, p < 0.001), and more often met criteria for biliary colic (62.5% vs. 44.2%, p = 0.023). Predictors for the presence of gallstones were a higher pain score, frequency of pain less than weekly, biliary colic, and an absence of heartburn. The model showed good discrimination between patients with and without gallstones (C-statistic 0.73, range: 0.68–0.76). Clinical diagnosis of symptomatic gallstone disease is challenging. The model developed in this study may aid in the selection of patients for referral and improve treatment related outcomes. MDPI 2023-06-20 /pmc/articles/PMC10299283/ /pubmed/37373855 http://dx.doi.org/10.3390/jcm12124162 Text en © 2023 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
Thunnissen, Floris M.
Comes, Daan J.
Geenen, Remy W. F.
Riviere, Deniece
Latenstein, Carmen S. S.
Lantinga, Marten A.
Schers, Henk J.
van Laarhoven, Cornelis J. H. M.
Drenth, Joost P. H.
Atsma, Femke
de Reuver, Philip R.
Patients with Clinically Suspected Gallstone Disease: A More Selective Ultrasound May Improve Treatment Related Outcomes
title Patients with Clinically Suspected Gallstone Disease: A More Selective Ultrasound May Improve Treatment Related Outcomes
title_full Patients with Clinically Suspected Gallstone Disease: A More Selective Ultrasound May Improve Treatment Related Outcomes
title_fullStr Patients with Clinically Suspected Gallstone Disease: A More Selective Ultrasound May Improve Treatment Related Outcomes
title_full_unstemmed Patients with Clinically Suspected Gallstone Disease: A More Selective Ultrasound May Improve Treatment Related Outcomes
title_short Patients with Clinically Suspected Gallstone Disease: A More Selective Ultrasound May Improve Treatment Related Outcomes
title_sort patients with clinically suspected gallstone disease: a more selective ultrasound may improve treatment related outcomes
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10299283/
https://www.ncbi.nlm.nih.gov/pubmed/37373855
http://dx.doi.org/10.3390/jcm12124162
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