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The effect of feedback on cardiovascular risk factors on optimization of primary prevention: The PharmLines initiative

BACKGROUND: It is unknown whether population based single assessment of cardiovascular disease (CVD) risk and feedback to individuals and general practitioners results in initiation of preventive cardiovascular pharmacotherapy in those at risk. METHODS: The population based cohort study Lifelines wa...

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Autores principales: van der Ende, M. Yldau, Waardenburg, Ingmar E., Lipsic, E., Bos, Jens H.J., Hak, Eelko, Snieder, H., Harst, Pim van der
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7803074/
https://www.ncbi.nlm.nih.gov/pubmed/33447768
http://dx.doi.org/10.1016/j.ijchy.2020.100042
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author van der Ende, M. Yldau
Waardenburg, Ingmar E.
Lipsic, E.
Bos, Jens H.J.
Hak, Eelko
Snieder, H.
Harst, Pim van der
author_facet van der Ende, M. Yldau
Waardenburg, Ingmar E.
Lipsic, E.
Bos, Jens H.J.
Hak, Eelko
Snieder, H.
Harst, Pim van der
author_sort van der Ende, M. Yldau
collection PubMed
description BACKGROUND: It is unknown whether population based single assessment of cardiovascular disease (CVD) risk and feedback to individuals and general practitioners results in initiation of preventive cardiovascular pharmacotherapy in those at risk. METHODS: The population based cohort study Lifelines was linked to the IADB.nl pharmacy database to assess information on the initiation of preventive medication (N = 48,770). At the baseline visit, information on cardiovascular risk factors was collected and reported to the participants and their general practitioners. An interrupted-time-series-analysis was plotted, in which the start year of blood pressure and lipid lowering medication was displayed in years before or after the baseline visit. Subsequently, predictors of the initiation of pharmacotherapy were determined and possible reduction in cardiovascular events that could be achieved by optimal treatment of individuals at risk. RESULTS: Before the Lifelines baseline visit, 34% (out of 1,527, 95% Confidence interval (CI) 32%–36%) and 30% (out of 1,991, 95%CI 28%–32%) of the individuals at risk had a blood pressure or lipid lowering drug prescription, respectively. In those at risk, the use of blood pressure lowering medication, increased substantially during the year of the baseline visit. Treating individuals at increased risk (≥5% 10-year risk) with lipid or blood pressure lowering medication (N = 8515 and N = 6899) would have prevented 162 and 183 CVD events, respectively, in the upcoming five years. CONCLUSION: Primary prevention of CVD in the general population appears suboptimal. Feedback of cardiovascular risk factors resulted in a substantial increase of blood pressure lowering medication and extrapolated health benefits.
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spelling pubmed-78030742021-01-13 The effect of feedback on cardiovascular risk factors on optimization of primary prevention: The PharmLines initiative van der Ende, M. Yldau Waardenburg, Ingmar E. Lipsic, E. Bos, Jens H.J. Hak, Eelko Snieder, H. Harst, Pim van der Int J Cardiol Hypertens Research Paper BACKGROUND: It is unknown whether population based single assessment of cardiovascular disease (CVD) risk and feedback to individuals and general practitioners results in initiation of preventive cardiovascular pharmacotherapy in those at risk. METHODS: The population based cohort study Lifelines was linked to the IADB.nl pharmacy database to assess information on the initiation of preventive medication (N = 48,770). At the baseline visit, information on cardiovascular risk factors was collected and reported to the participants and their general practitioners. An interrupted-time-series-analysis was plotted, in which the start year of blood pressure and lipid lowering medication was displayed in years before or after the baseline visit. Subsequently, predictors of the initiation of pharmacotherapy were determined and possible reduction in cardiovascular events that could be achieved by optimal treatment of individuals at risk. RESULTS: Before the Lifelines baseline visit, 34% (out of 1,527, 95% Confidence interval (CI) 32%–36%) and 30% (out of 1,991, 95%CI 28%–32%) of the individuals at risk had a blood pressure or lipid lowering drug prescription, respectively. In those at risk, the use of blood pressure lowering medication, increased substantially during the year of the baseline visit. Treating individuals at increased risk (≥5% 10-year risk) with lipid or blood pressure lowering medication (N = 8515 and N = 6899) would have prevented 162 and 183 CVD events, respectively, in the upcoming five years. CONCLUSION: Primary prevention of CVD in the general population appears suboptimal. Feedback of cardiovascular risk factors resulted in a substantial increase of blood pressure lowering medication and extrapolated health benefits. Elsevier 2020-07-28 /pmc/articles/PMC7803074/ /pubmed/33447768 http://dx.doi.org/10.1016/j.ijchy.2020.100042 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Research Paper
van der Ende, M. Yldau
Waardenburg, Ingmar E.
Lipsic, E.
Bos, Jens H.J.
Hak, Eelko
Snieder, H.
Harst, Pim van der
The effect of feedback on cardiovascular risk factors on optimization of primary prevention: The PharmLines initiative
title The effect of feedback on cardiovascular risk factors on optimization of primary prevention: The PharmLines initiative
title_full The effect of feedback on cardiovascular risk factors on optimization of primary prevention: The PharmLines initiative
title_fullStr The effect of feedback on cardiovascular risk factors on optimization of primary prevention: The PharmLines initiative
title_full_unstemmed The effect of feedback on cardiovascular risk factors on optimization of primary prevention: The PharmLines initiative
title_short The effect of feedback on cardiovascular risk factors on optimization of primary prevention: The PharmLines initiative
title_sort effect of feedback on cardiovascular risk factors on optimization of primary prevention: the pharmlines initiative
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7803074/
https://www.ncbi.nlm.nih.gov/pubmed/33447768
http://dx.doi.org/10.1016/j.ijchy.2020.100042
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