In-vivo-validation of a cardiovascular risk prediction tool: the arriba-pro study

<p>Abstract</p> <p>Background</p> <p>Calculation of individual risk is the cornerstone of effective cardiovascular prevention. <b>arriba</b> is a software to estimate the individual risk to suffer a cardiovascular event in 10 years. Prognosis and the absolut...

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Main Authors: Diener Annette, Celemín-Heinrich Salomé, Wegscheider Karl, Kolpatzik Kai, Tomaschko Katrin, Altiner Attila, Donner-Banzhoff Norbert, Haasenritter Jörg
Format: Article
Language:English
Published: BMC 2013-01-01
Series:BMC Family Practice
Online Access:http://www.biomedcentral.com/1471-2296/14/13
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author Diener Annette
Celemín-Heinrich Salomé
Wegscheider Karl
Kolpatzik Kai
Tomaschko Katrin
Altiner Attila
Donner-Banzhoff Norbert
Haasenritter Jörg
author_facet Diener Annette
Celemín-Heinrich Salomé
Wegscheider Karl
Kolpatzik Kai
Tomaschko Katrin
Altiner Attila
Donner-Banzhoff Norbert
Haasenritter Jörg
author_sort Diener Annette
collection DOAJ
description <p>Abstract</p> <p>Background</p> <p>Calculation of individual risk is the cornerstone of effective cardiovascular prevention. <b>arriba</b> is a software to estimate the individual risk to suffer a cardiovascular event in 10 years. Prognosis and the absolute effects of pharmacological and lifestyle interventions help the patient make a well-informed decision. The risk calculation algorithm currently used in <b>arriba</b> is based on the Framingham risk algorithm calibrated to the German setting. The objective of this study is to evaluate and adapt the algorithm for the target population in primary care in Germany.</p> <p>Methods/design</p> <p><b>arriba</b>-pro will be conducted within the primary care scheme provided by a large health care insurer in Baden-Württemberg, Germany. Patients who are counseled with <b>arriba</b> by their general practitioners (GPs) will be included in the <b>arriba</b>-pro cohort. Exposure data from the consultation with <b>arriba</b> such as demographic data and risk factors will be recorded automatically by the practice software and transferred to the study centre. Information on relevant prescription drugs (effect modifiers) and cardiovascular events (outcomes) will be derived from administrative sources.</p> <p>Discussion</p> <p>The study is unique in simulating a therapy naïve cohort, matching exactly research and application setting, using a robust administrative data base, and, finally, including patients with known cardiovascular disease who have been excluded from previous studies.</p> <p>Trial registration</p> <p>The study is registered with Deutsches Register Klinischer Studien (DRKS00004633).</p>
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spelling doaj.art-7a6ca51b7d3a4a2da06fcee2581403302022-12-22T01:19:33ZengBMCBMC Family Practice1471-22962013-01-011411310.1186/1471-2296-14-13In-vivo-validation of a cardiovascular risk prediction tool: the arriba-pro studyDiener AnnetteCelemín-Heinrich SaloméWegscheider KarlKolpatzik KaiTomaschko KatrinAltiner AttilaDonner-Banzhoff NorbertHaasenritter Jörg<p>Abstract</p> <p>Background</p> <p>Calculation of individual risk is the cornerstone of effective cardiovascular prevention. <b>arriba</b> is a software to estimate the individual risk to suffer a cardiovascular event in 10 years. Prognosis and the absolute effects of pharmacological and lifestyle interventions help the patient make a well-informed decision. The risk calculation algorithm currently used in <b>arriba</b> is based on the Framingham risk algorithm calibrated to the German setting. The objective of this study is to evaluate and adapt the algorithm for the target population in primary care in Germany.</p> <p>Methods/design</p> <p><b>arriba</b>-pro will be conducted within the primary care scheme provided by a large health care insurer in Baden-Württemberg, Germany. Patients who are counseled with <b>arriba</b> by their general practitioners (GPs) will be included in the <b>arriba</b>-pro cohort. Exposure data from the consultation with <b>arriba</b> such as demographic data and risk factors will be recorded automatically by the practice software and transferred to the study centre. Information on relevant prescription drugs (effect modifiers) and cardiovascular events (outcomes) will be derived from administrative sources.</p> <p>Discussion</p> <p>The study is unique in simulating a therapy naïve cohort, matching exactly research and application setting, using a robust administrative data base, and, finally, including patients with known cardiovascular disease who have been excluded from previous studies.</p> <p>Trial registration</p> <p>The study is registered with Deutsches Register Klinischer Studien (DRKS00004633).</p>http://www.biomedcentral.com/1471-2296/14/13
spellingShingle Diener Annette
Celemín-Heinrich Salomé
Wegscheider Karl
Kolpatzik Kai
Tomaschko Katrin
Altiner Attila
Donner-Banzhoff Norbert
Haasenritter Jörg
In-vivo-validation of a cardiovascular risk prediction tool: the arriba-pro study
BMC Family Practice
title In-vivo-validation of a cardiovascular risk prediction tool: the arriba-pro study
title_full In-vivo-validation of a cardiovascular risk prediction tool: the arriba-pro study
title_fullStr In-vivo-validation of a cardiovascular risk prediction tool: the arriba-pro study
title_full_unstemmed In-vivo-validation of a cardiovascular risk prediction tool: the arriba-pro study
title_short In-vivo-validation of a cardiovascular risk prediction tool: the arriba-pro study
title_sort in vivo validation of a cardiovascular risk prediction tool the arriba pro study
url http://www.biomedcentral.com/1471-2296/14/13
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