Cargando…
The impact of certain underlying comorbidities on the risk of developing hospitalised pneumonia in England
BACKGROUND: UK specific data on the risk of developing hospitalised CAP for patients with underlying comorbidities is lacking. This study compared the likelihood of hospitalised all-cause community acquired pneumonia (CAP) in patients with certain high-risk comorbidities and a comparator group with...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6788086/ https://www.ncbi.nlm.nih.gov/pubmed/31632897 http://dx.doi.org/10.1186/s41479-019-0063-z |
_version_ | 1783458422277013504 |
---|---|
author | Campling, J. Jones, D. Chalmers, J. D. Jiang, Q. Vyse, A. Madhava, H. Ellsbury, G. Slack, M. |
author_facet | Campling, J. Jones, D. Chalmers, J. D. Jiang, Q. Vyse, A. Madhava, H. Ellsbury, G. Slack, M. |
author_sort | Campling, J. |
collection | PubMed |
description | BACKGROUND: UK specific data on the risk of developing hospitalised CAP for patients with underlying comorbidities is lacking. This study compared the likelihood of hospitalised all-cause community acquired pneumonia (CAP) in patients with certain high-risk comorbidities and a comparator group with no known risk factors for pneumococcal disease. METHODS: This retrospective cohort study interrogated data in the Hospital Episodes Statistics (HES) dataset between financial years 2012/13 and 2016/17. In total 3,078,623 patients in England (aged ≥18 years) were linked to their hospitalisation records. This included 2,950,910 individuals with defined risk groups and a comparator group of 127,713 people who had undergone tooth extraction with none of the risk group diagnoses. Risk groups studied were chronic respiratory disease (CRD), chronic heart disease (CHD), chronic liver disease (CLD), chronic kidney disease (CKD), diabetes (DM) and post bone marrow transplant (BMT). The patients were tracked forward from year 0 (2012/13) to Year 3 (2016/17) and all diagnoses of hospitalised CAP were recorded. A Logistic regression model compared odds of developing hospitalised CAP for patients in risk groups compared to healthy controls. The model was simultaneously adjusted for age, sex, strategic heath authority (SHA), index of multiple deprivation (IMD), ethnicity, and comorbidity. To account for differing comorbidity profiles between populations the Charlson Comorbidity Index (CCI) was applied. The model estimated odds ratios (OR) with 95% confidence intervals of developing hospitalised CAP for each specified clinical risk group. RESULTS: Patients within all the risk groups studied were more likely to develop hospitalised CAP than patients in the comparator group. The odds ratios varied between underlying conditions ranging from 1.18 (95% CI 1.13, 1.23) for those with DM to 5.48 (95% CI 5.28, 5.70) for those with CRD. CONCLUSIONS: Individuals with any of 6 pre-defined underlying comorbidities are at significantly increased risk of developing hospitalised CAP compared to those with no underlying comorbid condition. Since the likelihood varies by risk group it should be possible to target patients with each of these underlying comorbidities with the most appropriate preventative measures, including immunisations. |
format | Online Article Text |
id | pubmed-6788086 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-67880862019-10-18 The impact of certain underlying comorbidities on the risk of developing hospitalised pneumonia in England Campling, J. Jones, D. Chalmers, J. D. Jiang, Q. Vyse, A. Madhava, H. Ellsbury, G. Slack, M. Pneumonia (Nathan) Research BACKGROUND: UK specific data on the risk of developing hospitalised CAP for patients with underlying comorbidities is lacking. This study compared the likelihood of hospitalised all-cause community acquired pneumonia (CAP) in patients with certain high-risk comorbidities and a comparator group with no known risk factors for pneumococcal disease. METHODS: This retrospective cohort study interrogated data in the Hospital Episodes Statistics (HES) dataset between financial years 2012/13 and 2016/17. In total 3,078,623 patients in England (aged ≥18 years) were linked to their hospitalisation records. This included 2,950,910 individuals with defined risk groups and a comparator group of 127,713 people who had undergone tooth extraction with none of the risk group diagnoses. Risk groups studied were chronic respiratory disease (CRD), chronic heart disease (CHD), chronic liver disease (CLD), chronic kidney disease (CKD), diabetes (DM) and post bone marrow transplant (BMT). The patients were tracked forward from year 0 (2012/13) to Year 3 (2016/17) and all diagnoses of hospitalised CAP were recorded. A Logistic regression model compared odds of developing hospitalised CAP for patients in risk groups compared to healthy controls. The model was simultaneously adjusted for age, sex, strategic heath authority (SHA), index of multiple deprivation (IMD), ethnicity, and comorbidity. To account for differing comorbidity profiles between populations the Charlson Comorbidity Index (CCI) was applied. The model estimated odds ratios (OR) with 95% confidence intervals of developing hospitalised CAP for each specified clinical risk group. RESULTS: Patients within all the risk groups studied were more likely to develop hospitalised CAP than patients in the comparator group. The odds ratios varied between underlying conditions ranging from 1.18 (95% CI 1.13, 1.23) for those with DM to 5.48 (95% CI 5.28, 5.70) for those with CRD. CONCLUSIONS: Individuals with any of 6 pre-defined underlying comorbidities are at significantly increased risk of developing hospitalised CAP compared to those with no underlying comorbid condition. Since the likelihood varies by risk group it should be possible to target patients with each of these underlying comorbidities with the most appropriate preventative measures, including immunisations. BioMed Central 2019-10-11 /pmc/articles/PMC6788086/ /pubmed/31632897 http://dx.doi.org/10.1186/s41479-019-0063-z Text en © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Campling, J. Jones, D. Chalmers, J. D. Jiang, Q. Vyse, A. Madhava, H. Ellsbury, G. Slack, M. The impact of certain underlying comorbidities on the risk of developing hospitalised pneumonia in England |
title | The impact of certain underlying comorbidities on the risk of developing hospitalised pneumonia in England |
title_full | The impact of certain underlying comorbidities on the risk of developing hospitalised pneumonia in England |
title_fullStr | The impact of certain underlying comorbidities on the risk of developing hospitalised pneumonia in England |
title_full_unstemmed | The impact of certain underlying comorbidities on the risk of developing hospitalised pneumonia in England |
title_short | The impact of certain underlying comorbidities on the risk of developing hospitalised pneumonia in England |
title_sort | impact of certain underlying comorbidities on the risk of developing hospitalised pneumonia in england |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6788086/ https://www.ncbi.nlm.nih.gov/pubmed/31632897 http://dx.doi.org/10.1186/s41479-019-0063-z |
work_keys_str_mv | AT camplingj theimpactofcertainunderlyingcomorbiditiesontheriskofdevelopinghospitalisedpneumoniainengland AT jonesd theimpactofcertainunderlyingcomorbiditiesontheriskofdevelopinghospitalisedpneumoniainengland AT chalmersjd theimpactofcertainunderlyingcomorbiditiesontheriskofdevelopinghospitalisedpneumoniainengland AT jiangq theimpactofcertainunderlyingcomorbiditiesontheriskofdevelopinghospitalisedpneumoniainengland AT vysea theimpactofcertainunderlyingcomorbiditiesontheriskofdevelopinghospitalisedpneumoniainengland AT madhavah theimpactofcertainunderlyingcomorbiditiesontheriskofdevelopinghospitalisedpneumoniainengland AT ellsburyg theimpactofcertainunderlyingcomorbiditiesontheriskofdevelopinghospitalisedpneumoniainengland AT slackm theimpactofcertainunderlyingcomorbiditiesontheriskofdevelopinghospitalisedpneumoniainengland AT camplingj impactofcertainunderlyingcomorbiditiesontheriskofdevelopinghospitalisedpneumoniainengland AT jonesd impactofcertainunderlyingcomorbiditiesontheriskofdevelopinghospitalisedpneumoniainengland AT chalmersjd impactofcertainunderlyingcomorbiditiesontheriskofdevelopinghospitalisedpneumoniainengland AT jiangq impactofcertainunderlyingcomorbiditiesontheriskofdevelopinghospitalisedpneumoniainengland AT vysea impactofcertainunderlyingcomorbiditiesontheriskofdevelopinghospitalisedpneumoniainengland AT madhavah impactofcertainunderlyingcomorbiditiesontheriskofdevelopinghospitalisedpneumoniainengland AT ellsburyg impactofcertainunderlyingcomorbiditiesontheriskofdevelopinghospitalisedpneumoniainengland AT slackm impactofcertainunderlyingcomorbiditiesontheriskofdevelopinghospitalisedpneumoniainengland |