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A baseline profile of the Queensland Cardiac Record Linkage Cohort (QCard) study
BACKGROUND: Cardiovascular disease (CVD) is one of the leading causes of death in Australia. Longitudinal record linkage studies have the potency to influence clinical decision making to improve cardiac health. This paper describes the baseline characteristics of the Queensland Cardiac Record Linkag...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8817516/ https://www.ncbi.nlm.nih.gov/pubmed/35120447 http://dx.doi.org/10.1186/s12872-022-02478-z |
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author | Nghiem, Son Afoakwah, Clifford Scuffham, Paul Byrnes, Joshua |
author_facet | Nghiem, Son Afoakwah, Clifford Scuffham, Paul Byrnes, Joshua |
author_sort | Nghiem, Son |
collection | PubMed |
description | BACKGROUND: Cardiovascular disease (CVD) is one of the leading causes of death in Australia. Longitudinal record linkage studies have the potency to influence clinical decision making to improve cardiac health. This paper describes the baseline characteristics of the Queensland Cardiac Record Linkage Cohort study (QCard). METHODS: International Classification of Disease, 10th Revision Australian Modification (ICD-10-AM) diagnosis codes were used to identify CVD and comorbidities. Cost and adverse health outcomes (e.g., comorbidities, hospital-acquired complications) were compared between first-time and recurrent admissions. Descriptive statistics and standard tests were used to analyse the baseline data. RESULTS: There were 132,343 patients with hospitalisations in 2010, of which 47% were recurrent admissions, and 53% were males. There were systematic differences between characteristics of recurrent and first-time hospitalisations. Patients with recurrent episodes were nine years older (70 vs. 61; p < 0.001) and experienced a twice higher risk of multiple comorbidities (3.17 vs. 1.59; p < 0.001). CVD index hospitalisations were concentrated in large metropolitan hospitals. CONCLUSIONS: Our study demonstrates that linked administrative health data provide an effective tool to investigate factors determining the progress of heart disease. Our main finding suggests that recurrent admissions were associated with higher hospital costs and a higher risk of having adverse outcomes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12872-022-02478-z. |
format | Online Article Text |
id | pubmed-8817516 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-88175162022-02-07 A baseline profile of the Queensland Cardiac Record Linkage Cohort (QCard) study Nghiem, Son Afoakwah, Clifford Scuffham, Paul Byrnes, Joshua BMC Cardiovasc Disord Research Article BACKGROUND: Cardiovascular disease (CVD) is one of the leading causes of death in Australia. Longitudinal record linkage studies have the potency to influence clinical decision making to improve cardiac health. This paper describes the baseline characteristics of the Queensland Cardiac Record Linkage Cohort study (QCard). METHODS: International Classification of Disease, 10th Revision Australian Modification (ICD-10-AM) diagnosis codes were used to identify CVD and comorbidities. Cost and adverse health outcomes (e.g., comorbidities, hospital-acquired complications) were compared between first-time and recurrent admissions. Descriptive statistics and standard tests were used to analyse the baseline data. RESULTS: There were 132,343 patients with hospitalisations in 2010, of which 47% were recurrent admissions, and 53% were males. There were systematic differences between characteristics of recurrent and first-time hospitalisations. Patients with recurrent episodes were nine years older (70 vs. 61; p < 0.001) and experienced a twice higher risk of multiple comorbidities (3.17 vs. 1.59; p < 0.001). CVD index hospitalisations were concentrated in large metropolitan hospitals. CONCLUSIONS: Our study demonstrates that linked administrative health data provide an effective tool to investigate factors determining the progress of heart disease. Our main finding suggests that recurrent admissions were associated with higher hospital costs and a higher risk of having adverse outcomes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12872-022-02478-z. BioMed Central 2022-02-05 /pmc/articles/PMC8817516/ /pubmed/35120447 http://dx.doi.org/10.1186/s12872-022-02478-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Nghiem, Son Afoakwah, Clifford Scuffham, Paul Byrnes, Joshua A baseline profile of the Queensland Cardiac Record Linkage Cohort (QCard) study |
title | A baseline profile of the Queensland Cardiac Record Linkage Cohort (QCard) study |
title_full | A baseline profile of the Queensland Cardiac Record Linkage Cohort (QCard) study |
title_fullStr | A baseline profile of the Queensland Cardiac Record Linkage Cohort (QCard) study |
title_full_unstemmed | A baseline profile of the Queensland Cardiac Record Linkage Cohort (QCard) study |
title_short | A baseline profile of the Queensland Cardiac Record Linkage Cohort (QCard) study |
title_sort | baseline profile of the queensland cardiac record linkage cohort (qcard) study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8817516/ https://www.ncbi.nlm.nih.gov/pubmed/35120447 http://dx.doi.org/10.1186/s12872-022-02478-z |
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