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Application of a risk-guided strategy to secondary prevention of coronary heart disease: analysis from a state-wide data linkage in Queensland, Australia

OBJECTIVE: This study sought whether higher risk patients with coronary heart disease (CHD) benefit more from intensive disease management. DESIGN: Longitudinal cohort study. SETTING: State-wide public hospitals (Queensland, Australia). PARTICIPANTS: This longitudinal study included 20 426 patients...

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Autores principales: Huynh, Quan L, Nghiem, Son, Byrnes, Joshua, Scuffham, Paul A, Marwick, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9073398/
https://www.ncbi.nlm.nih.gov/pubmed/35508342
http://dx.doi.org/10.1136/bmjopen-2021-057856
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author Huynh, Quan L
Nghiem, Son
Byrnes, Joshua
Scuffham, Paul A
Marwick, Thomas
author_facet Huynh, Quan L
Nghiem, Son
Byrnes, Joshua
Scuffham, Paul A
Marwick, Thomas
author_sort Huynh, Quan L
collection PubMed
description OBJECTIVE: This study sought whether higher risk patients with coronary heart disease (CHD) benefit more from intensive disease management. DESIGN: Longitudinal cohort study. SETTING: State-wide public hospitals (Queensland, Australia). PARTICIPANTS: This longitudinal study included 20 426 patients hospitalised in 2010 with CHD as the principal diagnosis. Patients were followed-up for 5 years. PRIMARY AND SECONDARY OUTCOMES AND MEASURES: The primary outcome was days alive and out of hospital (DAOH) within 5 years of hospital discharge. Secondary outcomes included all-cause readmission and all-cause mortality. A previously developed and validated risk score (PEGASUS-TIMI54) was used to estimate the risk of secondary events. Data on sociodemography, comorbidity, interventions and medications were also collected. RESULTS: High-risk patients (n=6573, risk score ≥6) had fewer DAOH (∆=−142 days (95% CI: −152 to –131)), and were more likely to readmit or die (all p<0.001) than their low-risk counterparts (n=13 367, risk score <6). Compared with patients who were never prescribed a medication, those who consumed maximal dose of betablockers (∆=39 days (95% CI: 11 to 67)), angiotensin-converting enzyme inhibitors/angiotensin receptor blockers (∆=74 days (95% CI: 49 to 99)) or statins (∆=109 days (95% CI: 90 to 128)) had significantly greater DAOH. Patients who received percutaneous coronary intervention (∆=99 days (95% CI: 81 to 116)) or coronary artery bypass grafting (∆=120 days (95% CI: 92 to 148)) also had significantly greater DAOH than those who did not. The effect sizes of these therapies were significantly greater in high-risk patients, compared with low-risk patients (interaction p<0.001). Analysis of secondary outcomes also found significant interaction between both medical and interventional therapies with readmission and death, implicating greater benefits for high-risk patients. CONCLUSIONS: CHD patients can be effectively risk-stratified, and use of this information for a risk-guided strategy to prioritise high-risk patients may maximise benefits from additional resources spent on intensive disease management.
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spelling pubmed-90733982022-05-18 Application of a risk-guided strategy to secondary prevention of coronary heart disease: analysis from a state-wide data linkage in Queensland, Australia Huynh, Quan L Nghiem, Son Byrnes, Joshua Scuffham, Paul A Marwick, Thomas BMJ Open Cardiovascular Medicine OBJECTIVE: This study sought whether higher risk patients with coronary heart disease (CHD) benefit more from intensive disease management. DESIGN: Longitudinal cohort study. SETTING: State-wide public hospitals (Queensland, Australia). PARTICIPANTS: This longitudinal study included 20 426 patients hospitalised in 2010 with CHD as the principal diagnosis. Patients were followed-up for 5 years. PRIMARY AND SECONDARY OUTCOMES AND MEASURES: The primary outcome was days alive and out of hospital (DAOH) within 5 years of hospital discharge. Secondary outcomes included all-cause readmission and all-cause mortality. A previously developed and validated risk score (PEGASUS-TIMI54) was used to estimate the risk of secondary events. Data on sociodemography, comorbidity, interventions and medications were also collected. RESULTS: High-risk patients (n=6573, risk score ≥6) had fewer DAOH (∆=−142 days (95% CI: −152 to –131)), and were more likely to readmit or die (all p<0.001) than their low-risk counterparts (n=13 367, risk score <6). Compared with patients who were never prescribed a medication, those who consumed maximal dose of betablockers (∆=39 days (95% CI: 11 to 67)), angiotensin-converting enzyme inhibitors/angiotensin receptor blockers (∆=74 days (95% CI: 49 to 99)) or statins (∆=109 days (95% CI: 90 to 128)) had significantly greater DAOH. Patients who received percutaneous coronary intervention (∆=99 days (95% CI: 81 to 116)) or coronary artery bypass grafting (∆=120 days (95% CI: 92 to 148)) also had significantly greater DAOH than those who did not. The effect sizes of these therapies were significantly greater in high-risk patients, compared with low-risk patients (interaction p<0.001). Analysis of secondary outcomes also found significant interaction between both medical and interventional therapies with readmission and death, implicating greater benefits for high-risk patients. CONCLUSIONS: CHD patients can be effectively risk-stratified, and use of this information for a risk-guided strategy to prioritise high-risk patients may maximise benefits from additional resources spent on intensive disease management. BMJ Publishing Group 2022-05-04 /pmc/articles/PMC9073398/ /pubmed/35508342 http://dx.doi.org/10.1136/bmjopen-2021-057856 Text en © Author(s) (or their employer(s)) 2022. 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 Cardiovascular Medicine
Huynh, Quan L
Nghiem, Son
Byrnes, Joshua
Scuffham, Paul A
Marwick, Thomas
Application of a risk-guided strategy to secondary prevention of coronary heart disease: analysis from a state-wide data linkage in Queensland, Australia
title Application of a risk-guided strategy to secondary prevention of coronary heart disease: analysis from a state-wide data linkage in Queensland, Australia
title_full Application of a risk-guided strategy to secondary prevention of coronary heart disease: analysis from a state-wide data linkage in Queensland, Australia
title_fullStr Application of a risk-guided strategy to secondary prevention of coronary heart disease: analysis from a state-wide data linkage in Queensland, Australia
title_full_unstemmed Application of a risk-guided strategy to secondary prevention of coronary heart disease: analysis from a state-wide data linkage in Queensland, Australia
title_short Application of a risk-guided strategy to secondary prevention of coronary heart disease: analysis from a state-wide data linkage in Queensland, Australia
title_sort application of a risk-guided strategy to secondary prevention of coronary heart disease: analysis from a state-wide data linkage in queensland, australia
topic Cardiovascular Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9073398/
https://www.ncbi.nlm.nih.gov/pubmed/35508342
http://dx.doi.org/10.1136/bmjopen-2021-057856
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