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Identifying risk factors for progression to critical care admission and death among individuals with acute pancreatitis: a record linkage analysis of Scottish healthcare databases
OBJECTIVES: Acute pancreatitis (AP) can initiate systemic complications that require support in critical care (CC). Our objective was to use the unified national health record to define the epidemiology of AP in Scotland, with a specific focus on deterministic and prognostic factors for CC admission...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4916584/ https://www.ncbi.nlm.nih.gov/pubmed/27311912 http://dx.doi.org/10.1136/bmjopen-2016-011474 |
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author | Mole, Damian J Gungabissoon, Usha Johnston, Philip Cochrane, Lynda Hopkins, Leanne Wyper, Grant M A Skouras, Christos Dibben, Chris Sullivan, Frank Morris, Andrew Ward, Hester J T Lawton, Andrew M Donnan, Peter T |
author_facet | Mole, Damian J Gungabissoon, Usha Johnston, Philip Cochrane, Lynda Hopkins, Leanne Wyper, Grant M A Skouras, Christos Dibben, Chris Sullivan, Frank Morris, Andrew Ward, Hester J T Lawton, Andrew M Donnan, Peter T |
author_sort | Mole, Damian J |
collection | PubMed |
description | OBJECTIVES: Acute pancreatitis (AP) can initiate systemic complications that require support in critical care (CC). Our objective was to use the unified national health record to define the epidemiology of AP in Scotland, with a specific focus on deterministic and prognostic factors for CC admission in AP. SETTING: Health boards in Scotland (n=4). PARTICIPANTS: We included all individuals in a retrospective observational cohort with at least one episode of AP (ICD10 code K85) occurring in Scotland from 1 April 2009 to 31 March 2012. 3340 individuals were coded as AP. METHODS: Data from 16 sources, spanning general practice, community prescribing, Accident and Emergency attendances, hospital in-patient, CC and mortality registries, were linked by a unique patient identifier in a national safe haven. Logistic regression and gamma models were used to define independent predictive factors for severe AP (sAP) requiring CC admission or leading to death. RESULTS: 2053 individuals (61.5% (95% CI 59.8% to 63.2%)) met the definition for true AP (tAP). 368 patients (17.9% of tAP (95% CI 16.2% to 19.6%)) were admitted to CC. Predictors of sAP were pre-existing angina or hypertension, hypocalcaemia and age 30–39 years, if type 2 diabetes mellitus was present. The risk of sAP was lower in patients with multiple previous episodes of AP. In-hospital mortality in tAP was 5.0% (95% CI 4.1% to 5.9%) overall and 21.7% (95% CI 19.9% to 23.5%) in those with tAP necessitating CC admission. CONCLUSIONS: National record-linkage analysis of routinely collected data constitutes a powerful resource to model CC admission and prognosticate death during AP. Mortality in patients with AP who require CC admission remains high. |
format | Online Article Text |
id | pubmed-4916584 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-49165842016-06-24 Identifying risk factors for progression to critical care admission and death among individuals with acute pancreatitis: a record linkage analysis of Scottish healthcare databases Mole, Damian J Gungabissoon, Usha Johnston, Philip Cochrane, Lynda Hopkins, Leanne Wyper, Grant M A Skouras, Christos Dibben, Chris Sullivan, Frank Morris, Andrew Ward, Hester J T Lawton, Andrew M Donnan, Peter T BMJ Open Public Health OBJECTIVES: Acute pancreatitis (AP) can initiate systemic complications that require support in critical care (CC). Our objective was to use the unified national health record to define the epidemiology of AP in Scotland, with a specific focus on deterministic and prognostic factors for CC admission in AP. SETTING: Health boards in Scotland (n=4). PARTICIPANTS: We included all individuals in a retrospective observational cohort with at least one episode of AP (ICD10 code K85) occurring in Scotland from 1 April 2009 to 31 March 2012. 3340 individuals were coded as AP. METHODS: Data from 16 sources, spanning general practice, community prescribing, Accident and Emergency attendances, hospital in-patient, CC and mortality registries, were linked by a unique patient identifier in a national safe haven. Logistic regression and gamma models were used to define independent predictive factors for severe AP (sAP) requiring CC admission or leading to death. RESULTS: 2053 individuals (61.5% (95% CI 59.8% to 63.2%)) met the definition for true AP (tAP). 368 patients (17.9% of tAP (95% CI 16.2% to 19.6%)) were admitted to CC. Predictors of sAP were pre-existing angina or hypertension, hypocalcaemia and age 30–39 years, if type 2 diabetes mellitus was present. The risk of sAP was lower in patients with multiple previous episodes of AP. In-hospital mortality in tAP was 5.0% (95% CI 4.1% to 5.9%) overall and 21.7% (95% CI 19.9% to 23.5%) in those with tAP necessitating CC admission. CONCLUSIONS: National record-linkage analysis of routinely collected data constitutes a powerful resource to model CC admission and prognosticate death during AP. Mortality in patients with AP who require CC admission remains high. BMJ Publishing Group 2016-06-15 /pmc/articles/PMC4916584/ /pubmed/27311912 http://dx.doi.org/10.1136/bmjopen-2016-011474 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/ 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 and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ |
spellingShingle | Public Health Mole, Damian J Gungabissoon, Usha Johnston, Philip Cochrane, Lynda Hopkins, Leanne Wyper, Grant M A Skouras, Christos Dibben, Chris Sullivan, Frank Morris, Andrew Ward, Hester J T Lawton, Andrew M Donnan, Peter T Identifying risk factors for progression to critical care admission and death among individuals with acute pancreatitis: a record linkage analysis of Scottish healthcare databases |
title | Identifying risk factors for progression to critical care admission and death among individuals with acute pancreatitis: a record linkage analysis of Scottish healthcare databases |
title_full | Identifying risk factors for progression to critical care admission and death among individuals with acute pancreatitis: a record linkage analysis of Scottish healthcare databases |
title_fullStr | Identifying risk factors for progression to critical care admission and death among individuals with acute pancreatitis: a record linkage analysis of Scottish healthcare databases |
title_full_unstemmed | Identifying risk factors for progression to critical care admission and death among individuals with acute pancreatitis: a record linkage analysis of Scottish healthcare databases |
title_short | Identifying risk factors for progression to critical care admission and death among individuals with acute pancreatitis: a record linkage analysis of Scottish healthcare databases |
title_sort | identifying risk factors for progression to critical care admission and death among individuals with acute pancreatitis: a record linkage analysis of scottish healthcare databases |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4916584/ https://www.ncbi.nlm.nih.gov/pubmed/27311912 http://dx.doi.org/10.1136/bmjopen-2016-011474 |
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