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Use of Population-Based Health Informatics Research to Improve Care for Patients with Cardiovascular Diseases
There are common clinical scenarios in chronic heart disease where no randomized controlled data exist to guide management, and it is likely that well-designed observational studies will have to be used to inform clinical practice. Showing the clinical applicability of this type of study design, usi...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7768487/ https://www.ncbi.nlm.nih.gov/pubmed/33348643 http://dx.doi.org/10.3390/diseases8040047 |
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author | Mordi, Ify R. Guignard-Duff, Magalie Hall, Christopher New, Benjamin Jaa Ming Lang, Chim C. |
author_facet | Mordi, Ify R. Guignard-Duff, Magalie Hall, Christopher New, Benjamin Jaa Ming Lang, Chim C. |
author_sort | Mordi, Ify R. |
collection | PubMed |
description | There are common clinical scenarios in chronic heart disease where no randomized controlled data exist to guide management, and it is likely that well-designed observational studies will have to be used to inform clinical practice. Showing the clinical applicability of this type of study design, using record linkage of population electronic health records, we have provided key observational evidence that use of renin–angiotensin-system (RAS) blockers is associated with better outcomes in patients with aortic stenosis and that metformin could be used safely as an antiglycemic drug in patients with diabetes and heart failure. Each of these pieces of underpinning research has made a major contribution to relevant international clinical practice guidelines, helped the Food and Drug Administration in their decision making and changed prescribing practice. |
format | Online Article Text |
id | pubmed-7768487 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-77684872020-12-29 Use of Population-Based Health Informatics Research to Improve Care for Patients with Cardiovascular Diseases Mordi, Ify R. Guignard-Duff, Magalie Hall, Christopher New, Benjamin Jaa Ming Lang, Chim C. Diseases Communication There are common clinical scenarios in chronic heart disease where no randomized controlled data exist to guide management, and it is likely that well-designed observational studies will have to be used to inform clinical practice. Showing the clinical applicability of this type of study design, using record linkage of population electronic health records, we have provided key observational evidence that use of renin–angiotensin-system (RAS) blockers is associated with better outcomes in patients with aortic stenosis and that metformin could be used safely as an antiglycemic drug in patients with diabetes and heart failure. Each of these pieces of underpinning research has made a major contribution to relevant international clinical practice guidelines, helped the Food and Drug Administration in their decision making and changed prescribing practice. MDPI 2020-12-17 /pmc/articles/PMC7768487/ /pubmed/33348643 http://dx.doi.org/10.3390/diseases8040047 Text en © 2020 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Communication Mordi, Ify R. Guignard-Duff, Magalie Hall, Christopher New, Benjamin Jaa Ming Lang, Chim C. Use of Population-Based Health Informatics Research to Improve Care for Patients with Cardiovascular Diseases |
title | Use of Population-Based Health Informatics Research to Improve Care for Patients with Cardiovascular Diseases |
title_full | Use of Population-Based Health Informatics Research to Improve Care for Patients with Cardiovascular Diseases |
title_fullStr | Use of Population-Based Health Informatics Research to Improve Care for Patients with Cardiovascular Diseases |
title_full_unstemmed | Use of Population-Based Health Informatics Research to Improve Care for Patients with Cardiovascular Diseases |
title_short | Use of Population-Based Health Informatics Research to Improve Care for Patients with Cardiovascular Diseases |
title_sort | use of population-based health informatics research to improve care for patients with cardiovascular diseases |
topic | Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7768487/ https://www.ncbi.nlm.nih.gov/pubmed/33348643 http://dx.doi.org/10.3390/diseases8040047 |
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