Prediction of individualized lifetime benefit from cholesterol lowering, blood pressure lowering, antithrombotic therapy, and smoking cessation in apparently healthy people.


Journal

European heart journal
ISSN: 1522-9645
Titre abrégé: Eur Heart J
Pays: England
ID NLM: 8006263

Informations de publication

Date de publication:
14 03 2020
Historique:
received: 10 10 2018
revised: 12 12 2018
accepted: 13 04 2019
pubmed: 19 5 2019
medline: 13 5 2021
entrez: 19 5 2019
Statut: ppublish

Résumé

The benefit an individual can expect from preventive therapy varies based on risk-factor burden, competing risks, and treatment duration. We developed and validated the LIFEtime-perspective CardioVascular Disease (LIFE-CVD) model for the estimation of individual-level 10 years and lifetime treatment-effects of cholesterol lowering, blood pressure lowering, antithrombotic therapy, and smoking cessation in apparently healthy people. Model development was conducted in the Multi-Ethnic Study of Atherosclerosis (n = 6715) using clinical predictors. The model consists of two complementary Fine and Gray competing-risk adjusted left-truncated subdistribution hazard functions: one for hard cardiovascular disease (CVD)-events, and one for non-CVD mortality. Therapy-effects were estimated by combining the functions with hazard ratios from preventive therapy trials. External validation was performed in the Atherosclerosis Risk in Communities (n = 9250), Heinz Nixdorf Recall (n = 4177), and the European Prospective Investigation into Cancer and Nutrition-Netherlands (n = 25 833), and Norfolk (n = 23 548) studies. Calibration of the LIFE-CVD model was good and c-statistics were 0.67-0.76. The output enables the comparison of short-term vs. long-term therapy-benefit. In two people aged 45 and 70 with otherwise identical risk-factors, the older patient has a greater 10-year absolute risk reduction (11.3% vs. 1.0%) but a smaller gain in life-years free of CVD (3.4 vs. 4.5 years) from the same therapy. The model was developed into an interactive online calculator available via www.U-Prevent.com. The model can accurately estimate individual-level prognosis and treatment-effects in terms of improved 10-year risk, lifetime risk, and life-expectancy free of CVD. The model is easily accessible and can be used to facilitate personalized-medicine and doctor-patient communication.

Identifiants

pubmed: 31102402
pii: 5490733
doi: 10.1093/eurheartj/ehz239
pmc: PMC7229871
doi:

Substances chimiques

Fibrinolytic Agents 0
Cholesterol 97C5T2UQ7J

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1190-1199

Subventions

Organisme : NHLBI NIH HHS
ID : HHSN268201500003C
Pays : United States
Organisme : NHLBI NIH HHS
ID : N01HC95160
Pays : United States
Organisme : NHLBI NIH HHS
ID : N01HC95163
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR001079
Pays : United States
Organisme : Medical Research Council
ID : MR/N003284/1
Pays : United Kingdom
Organisme : NHLBI NIH HHS
ID : N01HC95164
Pays : United States
Organisme : NHLBI NIH HHS
ID : N01HC95162
Pays : United States
Organisme : NHLBI NIH HHS
ID : N01HC95168
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201700002C
Pays : United States
Organisme : NHLBI NIH HHS
ID : N01HC95159
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201500003I
Pays : United States
Organisme : NHLBI NIH HHS
ID : N01HC95166
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201700003I
Pays : United States
Organisme : Medical Research Council
ID : MC_UU_12015/1
Pays : United Kingdom
Organisme : NHLBI NIH HHS
ID : N01HC95169
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201700001I
Pays : United States
Organisme : Medical Research Council
ID : G0401527
Pays : United Kingdom
Organisme : NHLBI NIH HHS
ID : HHSN268201700004I
Pays : United States
Organisme : NHLBI NIH HHS
ID : N01HC95165
Pays : United States
Organisme : NHLBI NIH HHS
ID : N01HC95161
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR001420
Pays : United States
Organisme : Medical Research Council
ID : G1000143
Pays : United Kingdom
Organisme : NHLBI NIH HHS
ID : HHSN268201700005C
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201700001C
Pays : United States
Organisme : Cancer Research UK
ID : 14136
Pays : United Kingdom
Organisme : NHLBI NIH HHS
ID : N01HC95167
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201700003C
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201700004C
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR000040
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201700002I
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201700005I
Pays : United States

Commentaires et corrections

Type : CommentIn
Type : ErratumIn

Informations de copyright

Published on behalf of the European Society of Cardiology. All rights reserved. © The Author(s) 2019. For permissions, please email: journals.permissions@oup.com.

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Auteurs

Nicole E M Jaspers (NEM)

Department of Vascular Medicine, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, Netherlands.

Michael J Blaha (MJ)

Johns Hopkins Ciccarone Center for the Prevention of Heart Disease, Johns Hopkins Hospital, 1800 Orleans St, Baltimore, MD 21287, USA.

Kunihiro Matsushita (K)

Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, 2024 E. Monument Street, Baltimore, MD 21287, USA.

Yvonne T van der Schouw (YT)

Julius Center for Health Sciences, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, Netherlands.

Nicholas J Wareham (NJ)

Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge CB2 0QQ, UK.

Kay-Tee Khaw (KT)

Department of Public Health and Primary Care, University of Cambridge, 2 Worts' Causeway, Cambridge, UK.

Marie H Geisel (MH)

Institute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University Duisburg-Essen, Hufelandstraße 55, 45122 Essen, Germany.

Nils Lehmann (N)

Institute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University Duisburg-Essen, Hufelandstraße 55, 45122 Essen, Germany.

Raimund Erbel (R)

Institute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University Duisburg-Essen, Hufelandstraße 55, 45122 Essen, Germany.

Karl-Heinz Jöckel (KH)

Institute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University Duisburg-Essen, Hufelandstraße 55, 45122 Essen, Germany.

Yolanda van der Graaf (Y)

Julius Center for Health Sciences, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, Netherlands.

W M Monique Verschuren (WMM)

Julius Center for Health Sciences, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, Netherlands.
National Institute for Public Health and the Environment (RIVM), P O Box 1 3720 BA Bilthoven, Netherlands.

Jolanda M A Boer (JMA)

National Institute for Public Health and the Environment (RIVM), P O Box 1 3720 BA Bilthoven, Netherlands.

Vijay Nambi (V)

Center for Cardiovascular Disease Prevention, Michael E DeBakey Veterans Affairs Hospital, 6655 Tavis Street, Houston, TX 77030, USA.
Department of Medicine, Baylor College of Medicine, 1 Baylor Plaza, Houston, TX 77030, USA.

Frank L J Visseren (FLJ)

Department of Vascular Medicine, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, Netherlands.

Jannick A N Dorresteijn (JAN)

Department of Vascular Medicine, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, Netherlands.

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Classifications MeSH