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Derivation and validation of a novel risk score to predict need for haemostatic intervention in acute upper gastrointestinal bleeding (London Haemostat Score)

BACKGROUND: Acute upper gastrointestinal bleeding (AUGIB) is a common medical emergency, which takes up considerable healthcare resources. However, only approximately 20%–30% of bleeds require urgent haemostatic intervention. Current standard of care is for all patients admitted to hospital to under...

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Autores principales: Marks, Isobel, Janmohamed, Imran Karim, Malas, Sadek, Mavrou, Athina, Banister, Thomas, Patel, Nisha, Ayaru, Lakshmana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10069503/
https://www.ncbi.nlm.nih.gov/pubmed/36997237
http://dx.doi.org/10.1136/bmjgast-2022-001008
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author Marks, Isobel
Janmohamed, Imran Karim
Malas, Sadek
Mavrou, Athina
Banister, Thomas
Patel, Nisha
Ayaru, Lakshmana
author_facet Marks, Isobel
Janmohamed, Imran Karim
Malas, Sadek
Mavrou, Athina
Banister, Thomas
Patel, Nisha
Ayaru, Lakshmana
author_sort Marks, Isobel
collection PubMed
description BACKGROUND: Acute upper gastrointestinal bleeding (AUGIB) is a common medical emergency, which takes up considerable healthcare resources. However, only approximately 20%–30% of bleeds require urgent haemostatic intervention. Current standard of care is for all patients admitted to hospital to undergo endoscopy within 24 hours for risk stratification, but this is difficult to achieve in practice, invasive and costly. AIM: To develop a novel non-endoscopic risk stratification tool for AUGIB to predict the need for haemostatic intervention by endoscopic, radiological or surgical treatments. We compared this with the Glasgow-Blatchford Score (GBS). DESIGN: Model development was carried out using a derivation (n=466) and prospectively collected validation cohort (n=404) of patients who were admitted with AUGIB to three large hospitals in London, UK (2015–2020). Univariable and multivariable logistic regression analysis was used to identify variables that were associated with increased or decreased chances of requiring haemostatic intervention. This model was converted into a risk scoring system, the London Haemostat Score (LHS). RESULTS: The LHS was more accurate at predicting need for haemostatic intervention than the GBS, in the derivation cohort (area under the receiver operating curve (AUROC) 0.82; 95% CI 0.78 to 0.86 vs 0.72; 95% CI 0.67 to 0.77; p<0.001) and validation cohort (AUROC 0.80; 95% CI 0.75 to 0.85 vs 0.72; 95% CI 0.67 to 0.78; p<0.001). At cut-off scores at which LHS and GBS identified patients who required haemostatic intervention with 98% sensitivity, the specificity of the LHS was 41% vs 18% with the GBS (p<0.001). This could translate to 32% of inpatient endoscopies for AUGIB being avoided at a cost of only a 0.5% false negative rate. CONCLUSIONS: The LHS is accurate at predicting the need for haemostatic intervention in AUGIB and could be used to identify a proportion of low-risk patients who can undergo delayed or outpatient endoscopy. Validation in other geographical settings is required before routine clinical use.
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spelling pubmed-100695032023-04-04 Derivation and validation of a novel risk score to predict need for haemostatic intervention in acute upper gastrointestinal bleeding (London Haemostat Score) Marks, Isobel Janmohamed, Imran Karim Malas, Sadek Mavrou, Athina Banister, Thomas Patel, Nisha Ayaru, Lakshmana BMJ Open Gastroenterol Gastrointestinal Bleeding BACKGROUND: Acute upper gastrointestinal bleeding (AUGIB) is a common medical emergency, which takes up considerable healthcare resources. However, only approximately 20%–30% of bleeds require urgent haemostatic intervention. Current standard of care is for all patients admitted to hospital to undergo endoscopy within 24 hours for risk stratification, but this is difficult to achieve in practice, invasive and costly. AIM: To develop a novel non-endoscopic risk stratification tool for AUGIB to predict the need for haemostatic intervention by endoscopic, radiological or surgical treatments. We compared this with the Glasgow-Blatchford Score (GBS). DESIGN: Model development was carried out using a derivation (n=466) and prospectively collected validation cohort (n=404) of patients who were admitted with AUGIB to three large hospitals in London, UK (2015–2020). Univariable and multivariable logistic regression analysis was used to identify variables that were associated with increased or decreased chances of requiring haemostatic intervention. This model was converted into a risk scoring system, the London Haemostat Score (LHS). RESULTS: The LHS was more accurate at predicting need for haemostatic intervention than the GBS, in the derivation cohort (area under the receiver operating curve (AUROC) 0.82; 95% CI 0.78 to 0.86 vs 0.72; 95% CI 0.67 to 0.77; p<0.001) and validation cohort (AUROC 0.80; 95% CI 0.75 to 0.85 vs 0.72; 95% CI 0.67 to 0.78; p<0.001). At cut-off scores at which LHS and GBS identified patients who required haemostatic intervention with 98% sensitivity, the specificity of the LHS was 41% vs 18% with the GBS (p<0.001). This could translate to 32% of inpatient endoscopies for AUGIB being avoided at a cost of only a 0.5% false negative rate. CONCLUSIONS: The LHS is accurate at predicting the need for haemostatic intervention in AUGIB and could be used to identify a proportion of low-risk patients who can undergo delayed or outpatient endoscopy. Validation in other geographical settings is required before routine clinical use. BMJ Publishing Group 2023-03-30 /pmc/articles/PMC10069503/ /pubmed/36997237 http://dx.doi.org/10.1136/bmjgast-2022-001008 Text en © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Gastrointestinal Bleeding
Marks, Isobel
Janmohamed, Imran Karim
Malas, Sadek
Mavrou, Athina
Banister, Thomas
Patel, Nisha
Ayaru, Lakshmana
Derivation and validation of a novel risk score to predict need for haemostatic intervention in acute upper gastrointestinal bleeding (London Haemostat Score)
title Derivation and validation of a novel risk score to predict need for haemostatic intervention in acute upper gastrointestinal bleeding (London Haemostat Score)
title_full Derivation and validation of a novel risk score to predict need for haemostatic intervention in acute upper gastrointestinal bleeding (London Haemostat Score)
title_fullStr Derivation and validation of a novel risk score to predict need for haemostatic intervention in acute upper gastrointestinal bleeding (London Haemostat Score)
title_full_unstemmed Derivation and validation of a novel risk score to predict need for haemostatic intervention in acute upper gastrointestinal bleeding (London Haemostat Score)
title_short Derivation and validation of a novel risk score to predict need for haemostatic intervention in acute upper gastrointestinal bleeding (London Haemostat Score)
title_sort derivation and validation of a novel risk score to predict need for haemostatic intervention in acute upper gastrointestinal bleeding (london haemostat score)
topic Gastrointestinal Bleeding
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10069503/
https://www.ncbi.nlm.nih.gov/pubmed/36997237
http://dx.doi.org/10.1136/bmjgast-2022-001008
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