Prediction of individual lifetime cardiovascular risk and potential treatment benefit: development and recalibration of the LIFE-CVD2 model to four European risk regions

Steven H J Hageman, Stephen Kaptoge, Tamar I de Vries, Wentian Lu, Janet M Kist, Hendrikus J A van Os, Mattijs E Numans, Kristi Läll, Martin Bobak, Hynek Pikhart, Ruzena Kubinova, Sofia Malyutina, Andrzej Pająk, Abdonas Tamosiunas, Raimund Erbel, Andreas Stang, Börge Schmidt, Sara Schramm, Thomas R Bolton, Sarah SpackmanStephan J L Bakker, Michael Blaha, Jolanda M A Boer, Amélie Bonnefond, Hermann Brenner, Eric J Brunner, Nancy R Cook, Karina Davidson, Elaine Dennison, Chiara Donfrancesco, Marcus Dörr, James S Floyd, Ian Ford, Michael Fu, Ron T Gansevoort, Simona Giampaoli, Richard F Gillum, Agustín Gómez-de-la-Cámara, Lise Lund Håheim, Per-Olof Hansson, Peter Harms, Steve E Humphries, M Kamran Ikram, J Wouter Jukema, Maryam Kavousi, Stefan Kiechl, Anna Kucharska-Newton, David Lora Pablos, Kunihiro Matsushita, Haakon E Meyer, Karel G M Moons, Martin Bødtker Mortensen, Mirthe Muilwijk, Børge G Nordestgaard, Chris Packard, Luigi Pamieri, Demosthenes Panagiotakos, Annette Peters, Louis Potier, Rui Providencia, Bruce M Psaty, Paul M Ridker, Beatriz Rodriguez, Annika Rosengren, Naveed Sattar, Ben Schöttker, Joseph E Schwartz, Steven Shea, Martin J Shipley, Reecha Sofat, Barbara Thorand, W M Monique Verschuren, Henry Völzke, Nicholas J Wareham, Leo Westbury, Peter Willeit, Bin Zhou, John Danesh, Frank L J Visseren, Emanuele Di Angelantonio, Lisa Pennells, Jannick A N Dorresteijn

3 Citations (Scopus)

Abstract

AIMS: The 2021 European Society of Cardiology prevention guidelines recommend the use of (lifetime) risk prediction models to aid decisions regarding initiation of prevention. We aimed to update and systematically recalibrate the LIFEtime-perspective CardioVascular Disease (LIFE-CVD) model to four European risk regions for the estimation of lifetime CVD risk for apparently healthy individuals.

METHODS AND RESULTS: The updated LIFE-CVD (i.e. LIFE-CVD2) models were derived using individual participant data from 44 cohorts in 13 countries (687 135 individuals without established CVD, 30 939 CVD events in median 10.7 years of follow-up). LIFE-CVD2 uses sex-specific functions to estimate the lifetime risk of fatal and non-fatal CVD events with adjustment for the competing risk of non-CVD death and is systematically recalibrated to four distinct European risk regions. The updated models showed good discrimination in external validation among 1 657 707 individuals (61 311 CVD events) from eight additional European cohorts in seven countries, with a pooled C-index of 0.795 (95% confidence interval 0.767-0.822). Predicted and observed CVD event risks were well calibrated in population-wide electronic health records data in the UK (Clinical Practice Research Datalink) and the Netherlands (Extramural LUMC Academic Network). When using LIFE-CVD2 to estimate potential gain in CVD-free life expectancy from preventive therapy, projections varied by risk region reflecting important regional differences in absolute lifetime risk. For example, a 50-year-old smoking woman with a systolic blood pressure (SBP) of 140 mmHg was estimated to gain 0.9 years in the low-risk region vs. 1.6 years in the very high-risk region from lifelong 10 mmHg SBP reduction. The benefit of smoking cessation for this individual ranged from 3.6 years in the low-risk region to 4.8 years in the very high-risk region.

CONCLUSION: By taking into account geographical differences in CVD incidence using contemporary representative data sources, the recalibrated LIFE-CVD2 model provides a more accurate tool for the prediction of lifetime risk and CVD-free life expectancy for individuals without previous CVD, facilitating shared decision-making for cardiovascular prevention as recommended by 2021 European guidelines.

Original languageEnglish
JournalEuropean Journal of Preventive Cardiology
Volume31
Issue number14
Pages (from-to)1690-1699
Number of pages10
ISSN2047-4873
DOIs
Publication statusPublished - 10 Oct 2024

Keywords

  • Humans
  • Risk Assessment
  • Cardiovascular Diseases/prevention & control
  • Female
  • Male
  • Europe/epidemiology
  • Middle Aged
  • Aged
  • Heart Disease Risk Factors
  • Adult
  • Time Factors
  • Decision Support Techniques
  • Prognosis
  • Risk Factors

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