European journal of preventive cardiology最新文献

{"title":"Prediction of individual lifetime cardiovascular risk and potential treatment benefit: development and recalibration of the LIFE-CVD2 model to four European risk regions.","authors":"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 Spackman, Stephan 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","doi":"10.1093/eurjpc/zwae174","DOIUrl":"10.1093/eurjpc/zwae174","url":null,"abstract":"<p><strong>Aims: </strong>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.</p><p><strong>Methods and results: </strong>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.</p><p><strong>Conclusion: </strong>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.</p>","PeriodicalId":12051,"journal":{"name":"European journal of preventive cardiology","volume":null,"pages":null},"PeriodicalIF":8.4,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11464100/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140944305","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Correction to: Nationwide time trends in patients hospitalized for acute coronary syndrome: a worrying generational and social effect among women.","authors":"","doi":"10.1093/eurjpc/zwae113","DOIUrl":"10.1093/eurjpc/zwae113","url":null,"abstract":"","PeriodicalId":12051,"journal":{"name":"European journal of preventive cardiology","volume":null,"pages":null},"PeriodicalIF":8.4,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140305284","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Trends in population attributable fraction of modifiable risk factors for cardiovascular diseases across three decades.","authors":"Fang Zhu, Eric Boersma, Martijn Tilly, M Kamran Ikram, Hongchao Qi, Maryam Kavousi","doi":"10.1093/eurjpc/zwae219","DOIUrl":"10.1093/eurjpc/zwae219","url":null,"abstract":"<p><strong>Aims: </strong>To evaluate temporal trends, across three decades, in the population attributable fractions (PAFs) of modifiable risk factors for 5-year risk of cardiovascular diseases (CVDs).</p><p><strong>Methods and results: </strong>Within population-based Rotterdam Study, we defined three time groups of individuals without established CVD at 'baseline' with a mean age of 70 years, and followed for five years: Epoch 1990s (1989-93, n = 6195), Epoch 2000s (1997-2001, n = 5572), and Epoch 2010s (2009-14, n = 5135). The prevalence of risk factors and related relative risks were combined to quantify PAFs. The PAF of the six risk factors combined for global CVD was 0.57 [95% confidence interval (CI) 0.47-0.65], 0.52 (0.39-0.62), and 0.39 (0.18-0.54) in three respective epochs. Hypertension contributed the highest PAF to global CVD in Epoch 1990s (0.37, 95% CI: 0.28-0.44) and 2000s (0.34, 95% CI: 0.22-0.43), while smoking was the largest contributor in Epoch 2010s (0.20, 95% CI: 0.06-0.32). Dyslipidaemia changed population-level coronary heart disease risk over time. For stroke, hypertension became a less significant contributor over time, but smoking became a larger contributor. For heart failure, all risk factors showed non-significant PAFs in Epoch 2010s. PAFs related to individual risk factor varied among women and men.</p><p><strong>Conclusion: </strong>Six modifiable risk factors to population-level global CVD risk decreased over time, but still explained 39% of total CVD in the latest decade. PAFs changed considerably for hypertension, dyslipidaemia, and smoking. Risk factors had different PAFs for different CVDs with pronounced sex differences.</p>","PeriodicalId":12051,"journal":{"name":"European journal of preventive cardiology","volume":null,"pages":null},"PeriodicalIF":8.4,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141467146","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparisons of percent-predicted peak oxygen uptake achieved on cardiopulmonary exercise testing: stratifying mortality risk by Wasserman, FRIEND, and Brazilian equations.","authors":"Fabricio Braga, Mauricio Milani, Gabriel Espinosa, Juliana Goulart Prata Oliveira Milani, Dominique Hansen, Gerson Cipriano Junior, Jonathan Myers, Ricardo Mourilhe-Rocha","doi":"10.1093/eurjpc/zwae225","DOIUrl":"10.1093/eurjpc/zwae225","url":null,"abstract":"","PeriodicalId":12051,"journal":{"name":"European journal of preventive cardiology","volume":null,"pages":null},"PeriodicalIF":8.4,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141534067","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The complexities of modelling lifetime risk in the general population.","authors":"Martin Bahls, Stefan Groß","doi":"10.1093/eurjpc/zwae152","DOIUrl":"10.1093/eurjpc/zwae152","url":null,"abstract":"","PeriodicalId":12051,"journal":{"name":"European journal of preventive cardiology","volume":null,"pages":null},"PeriodicalIF":8.4,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140912035","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"'Orthostatic hypertension: a harbinger of adverse cardiovascular outcomes in young individuals'.","authors":"Paolo Palatini","doi":"10.1093/eurjpc/zwad249","DOIUrl":"10.1093/eurjpc/zwad249","url":null,"abstract":"","PeriodicalId":12051,"journal":{"name":"European journal of preventive cardiology","volume":null,"pages":null},"PeriodicalIF":8.4,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9873270","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Large-scale plasma proteomics in the UK Biobank modestly improves prediction of major cardiovascular events in a population without previous cardiovascular disease.","authors":"Patrick Royer, Elias Björnson, Martin Adiels, Rebecca Josefson, Eva Hagberg, Anders Gummesson, Göran Bergström","doi":"10.1093/eurjpc/zwae124","DOIUrl":"10.1093/eurjpc/zwae124","url":null,"abstract":"<p><strong>Aims: </strong>Improved identification of individuals at high risk of developing cardiovascular disease would enable targeted interventions and potentially lead to reductions in mortality and morbidity. Our aim was to determine whether use of large-scale proteomics improves prediction of cardiovascular events beyond traditional risk factors (TRFs).</p><p><strong>Methods and results: </strong>Using proximity extension assays, 2919 plasma proteins were measured in 38 380 participants of the UK Biobank. Both data- and literature-based feature selection and trained models using extreme gradient boosting machine learning were used to predict risk of major cardiovascular events (MACEs: fatal and non-fatal myocardial infarction, stroke, and coronary artery revascularization) during a 10-year follow-up. Area under the curve (AUC) and net reclassification index (NRI) were used to evaluate the additive value of selected protein panels to MACE prediction by Systematic COronary Risk Evaluation 2 (SCORE2) or the 10 TRFs used in SCORE2. SCORE2 and SCORE2 refitted to UK Biobank data predicted MACE with AUCs of 0.740 and 0.749, respectively. Data-driven selection identified 114 proteins of greatest relevance for prediction. Prediction of MACE was not improved by using these proteins alone (AUC of 0.758) but was significantly improved by combining these proteins with SCORE2 or the 10 TRFs (AUC = 0.771, P < 001, NRI = 0.140, and AUC = 0.767, P = 0.03, NRI 0.053, respectively). Literature-based protein selection (113 proteins from five previous studies) also improved risk prediction beyond TRFs while a random selection of 114 proteins did not.</p><p><strong>Conclusion: </strong>Large-scale plasma proteomics with data-driven and literature-based protein selection modestly improves prediction of future MACE beyond TRFs.</p>","PeriodicalId":12051,"journal":{"name":"European journal of preventive cardiology","volume":null,"pages":null},"PeriodicalIF":8.4,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140305285","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Is predicting the risk of incident diabetes useful in patients with cardiovascular disease?","authors":"Héctor Bueno","doi":"10.1093/eurjpc/zwae151","DOIUrl":"10.1093/eurjpc/zwae151","url":null,"abstract":"","PeriodicalId":12051,"journal":{"name":"European journal of preventive cardiology","volume":null,"pages":null},"PeriodicalIF":8.4,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142086038","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Applying the HARMS2-atrial fibrillation risk score for Japanese population: an analysis of a nationwide epidemiological dataset.","authors":"Toshiyuki Ko, Yuta Suzuki, Hidehiro Kaneko, Takahiro Jimba, Jin Komuro, Akira Okada, Katsuhito Fujiu, Norifumi Takeda, Hiroyuki Morita, Koichi Node, Hideo Yasunaga, Norihiko Takeda, Issei Komuro","doi":"10.1093/eurjpc/zwae111","DOIUrl":"10.1093/eurjpc/zwae111","url":null,"abstract":"","PeriodicalId":12051,"journal":{"name":"European journal of preventive cardiology","volume":null,"pages":null},"PeriodicalIF":8.4,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140179514","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Everything flows, and nothing stays still: a joint salutation from the former and new editors-in-chief.","authors":"Massimo Piepoli, Victor Aboyans","doi":"10.1093/eurjpc/zwae265","DOIUrl":"https://doi.org/10.1093/eurjpc/zwae265","url":null,"abstract":"","PeriodicalId":12051,"journal":{"name":"European journal of preventive cardiology","volume":null,"pages":null},"PeriodicalIF":8.4,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142389138","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}