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Risk prediction in patients with heart failure with preserved ejection fraction: the LIFE-Preserved model. 保留射血分数的心力衰竭患者的风险预测:LIFE-Preserved模型。
IF 39.3 1区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2026-03-11 DOI: 10.1093/eurheartj/ehag182
Tessa H Reitsma,Gianluigi Savarese,Łukasz Kuźma,Salil V Deo,Lisa Pennells,Steven H J Hageman,Joris Holtrop,Lina Benson,Nathalie Conrad,Lars H Lund,Anna Kurasz,Stephen Kaptoge,Spencer J Keene,Chimweta Chilala,Matilda Pitt,Robert A Fletcher,Kamlesh Khunti,Massimo Piepoli,Xavier Rossello,Jennifer S Lees,Maryam Kavousi,John William McEvoy,Angela M Wood,Rudolf A de Boer,Charlotte Andersson,Frank L J Visseren,Stefan Koudstaal,Emanuele Di Angelantonio,Jannick A N Dorresteijn,
BACKGROUND AND AIMSHeart failure (HF) with preserved ejection fraction (HFpEF) constitutes a heterogeneous disease with varying prognosis. Given the rising incidence of HFpEF, accurate risk prediction for these patients is needed to identify high-risk individuals, who may benefit the most from preventive treatments. The LIFE-Preserved model was developed and validated for the prediction of individual short-term and lifetime risk for HF hospitalization or cardiovascular (CV) death in patients with HFpEF.METHODSLIFE-Preserved was derived in 20,332 patients aged 40-90 years with a left ventricular ejection fraction ≥50% from the Swedish HF Registry (SwedeHF). Cause- and sex-specific Cox models were derived to predict the risk of HF hospitalization or CV death using 14 routinely available predictors. Use of age as the timescale allowed for predictions beyond the maximum follow-up duration in the derivation data, adjusted for competing risks. External validation was performed in two trials (EMPEROR-Preserved, TOPCAT-Americas) and three registries (NHS England Secure Data Environment, Veterans Affairs, HF-Particles). Model performance was assessed by discrimination and calibration.RESULTSDuring a median follow-up of 1.8 years (interquartile range 0.6-4.2, maximum 19 years), 9341 first HF hospitalizations or CV deaths (46%) were observed in SwedeHF. External validation included data from 28 062 patients with HFpEF (9930 [35%] first HF hospitalizations or CV deaths). Pooled C-statistics were 0.714 (95% confidence interval [CI] 0.652-0.775) in trials and 0.658 (95% CI 0.599-0.717) in registries, with adequate calibration in all external validation sources. Performance was similar in men and women. An interactive calculator of the LIFE-Preserved model has been made available here.CONCLUSIONSThe LIFE-Preserved model enables prediction of short-term and lifetime risk of HF hospitalization or CV death in patients with HFpEF. The model could serve as a tool to identify high-risk HFpEF patients, guiding clinical management and shared decision-making.
背景和目的:保留射血分数(HFpEF)的心力衰竭(HF)是一种具有不同预后的异质性疾病。鉴于HFpEF的发病率不断上升,需要对这些患者进行准确的风险预测,以识别可能从预防性治疗中获益最多的高危个体。开发并验证了LIFE-Preserved模型,用于预测HFpEF患者HF住院或心血管(CV)死亡的个体短期和终生风险。方法从瑞典HF登记处(SwedeHF)的20,332例40-90岁左室射血分数≥50%的患者中获得slife - preserved。采用14种常规预测因子,建立了病因和性别特异性Cox模型来预测HF住院或CV死亡的风险。使用年龄作为时间尺度,可以在推导数据中进行超过最长随访时间的预测,并根据相互竞争的风险进行调整。在两个试验(emperr - preserved, TOPCAT-Americas)和三个注册中心(NHS England Secure Data Environment, Veterans Affairs, HF-Particles)中进行了外部验证。通过判别和校准来评估模型的性能。结果在中位1.8年的随访期间(四分位数范围0.6-4.2,最长19年),在瑞典HF观察到9341例首次HF住院或CV死亡(46%)。外部验证包括28062例HFpEF患者的数据(9930例[35%]首次HF住院或CV死亡)。试验的合并c统计量为0.714(95%置信区间[CI] 0.652-0.775),注册中心的合并c统计量为0.658(95%置信区间[CI] 0.599-0.717),所有外部验证源均进行了适当的校准。男性和女性的表现相似。保存生命模型的交互式计算器已在这里提供。结论:LIFE-Preserved模型能够预测HFpEF患者HF住院或CV死亡的短期和终生风险。该模型可作为识别HFpEF高危患者、指导临床管理和共同决策的工具。
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引用次数: 0
Risk Scores for Heart Failure: Powerful for Populations, Problematic for the individual Patient. 心力衰竭风险评分:对人群有效,对个体患者有问题。
IF 39.3 1区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2026-03-11 DOI: 10.1093/eurheartj/ehag183
Christian Torp-Pedersen,Kristian Hay Kragholm,Lars Køber
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引用次数: 0
Correction to: Transcatheter edge-to-edge repair vs medical therapy in atrial functional mitral regurgitation: a propensity score-based comparison from the OCEAN-Mitral and REVEAL-AFMR registries. 修正:经导管边缘到边缘修复与药物治疗心房功能性二尖瓣反流:来自ocean -二尖瓣和REVEAL-AFMR登记的基于倾向评分的比较。
IF 35.6 1区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2026-03-11 DOI: 10.1093/eurheartj/ehag190
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引用次数: 0
Prediction of incident heart failure in established atherosclerotic cardiovascular disease: the SMART2-HF model. 预测动脉粥样硬化性心血管疾病的心力衰竭:SMART2-HF模型
IF 39.3 1区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2026-03-11 DOI: 10.1093/eurheartj/ehag153
Tessa H Reitsma,Carl-Emil Lim,Mari N Gynnild,Stephen Kaptoge,Laura Lõo,Joris Holtrop,Łukasz Kuźma,Lisa Pennells,Nathalie Conrad,Peter Ueda,Tomas Jernberg,Anna Kurasz,Spencer J Keene,Chimweta Chilala,Salil V Deo,Taavi Tillmann,Kamlesh Khunti,Massimo Piepoli,Xavier Rossello,Gianluigi Savarese,Håvard Dalen,Ph Gabriel Steg,Angela M Wood,Jennifer S Lees,Maryam Kavousi,John William McEvoy,Rudolf A de Boer,Charlotte Andersson,Deepak L Bhatt,Frank L J Visseren,Jannick A N Dorresteijn,Stefan Koudstaal,Emanuele Di Angelantonio,Steven H J Hageman, ,
BACKGROUND AND AIMSPatients with established atherosclerotic cardiovascular disease (ASCVD) are at high risk of developing heart failure (HF). However, incident HF is not part of the risk assessment of current guideline-recommended models. The aim of this study was to develop and externally validate the SMART2-HF model for prediction of incident HF in patients with ASCVD.METHODSSMART2-HF was developed in 7698 individuals with established ASCVD (coronary, cerebrovascular, or peripheral artery disease, or abdominal aortic aneurysm) but without prior HF from the UCC-SMART cohort. Cox proportional hazards models including sex-predictor interactions and with age as the time scale were derived to estimate the 10-year and lifetime risk of incident HF (hospitalization for HF or HF-related death), accounting for competing non-HF mortality. Predictors, limited to routinely available clinical characteristics, were aligned with the SMART2 risk model for recurrent cardiovascular risk in the same population. External validation was performed in 240 741 patients with ASCVD from six data sources: the Clinical Practice Research Datalink, the HUNT3 study, the SWEDEHEART Registry, the ASCVD-Particles cohort, the Estonian Biobank and the international REACH Registry.RESULTSDuring a median follow-up of 11.2 years (interquartile range 6.1-16.4 years), 1031 incident HF events (13%) occurred in the UCC-SMART cohort. In the external validation data sources, a total of 24 885 incident HF events (10%) occurred. The pooled C-statistic was 0.696 (95% confidence interval 0.674-0.717), with consistent performance in subgroups by sex and type of ASCVD. Predicted risks matched observed incidence in external validation.CONCLUSIONSThe SMART2-HF model enables the prediction of incident HF in patients with ASCVD. Aligned with the guideline-recommended SMART2 model for recurrent cardiovascular risk, SMART2-HF can be used as a complementary tool in this population.
背景和目的已确诊的动脉粥样硬化性心血管疾病(ASCVD)患者发生心力衰竭(HF)的风险很高。然而,突发心力衰竭并不是目前指南推荐模型风险评估的一部分。本研究的目的是开发并外部验证用于预测ASCVD患者发生HF的SMART2-HF模型。方法:在UCC-SMART队列中,7698例ASCVD(冠状动脉、脑血管或外周动脉疾病或腹主动脉瘤)患者中开发了ssmart2 -HF,但之前没有HF。Cox比例风险模型包括性别预测因子相互作用和以年龄为时间尺度,用于估计HF事件(因HF住院或HF相关死亡)的10年和终生风险,并考虑竞争的非HF死亡率。预测因子仅限于常规可用的临床特征,与相同人群中复发性心血管风险的SMART2风险模型相一致。外部验证在240741例ASCVD患者中进行,这些患者来自六个数据源:临床实践研究数据链、HUNT3研究、SWEDEHEART登记处、ASCVD- particles队列、爱沙尼亚生物银行和国际REACH登记处。结果在中位随访11.2年(四分位数间隔6.1-16.4年)期间,UCC-SMART队列中发生1031例HF事件(13%)。在外部验证数据源中,共发生了24885起突发HF事件(10%)。合并c统计量为0.696(95%可信区间0.674-0.717),按性别和ASCVD类型的亚组表现一致。预测风险与外部验证中观察到的发生率相匹配。结论SMART2-HF模型能够预测ASCVD患者发生的HF。与指南推荐的用于复发性心血管风险的SMART2模型一致,SMART2- hf可作为该人群的补充工具。
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引用次数: 0
Prediction of incident heart failure in individuals without prior cardiovascular disease: the SCORE2-HF risk model. 无心血管疾病个体心力衰竭事件的预测:SCORE2-HF风险模型
IF 39.3 1区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2026-03-11 DOI: 10.1093/eurheartj/ehag154
,
BACKGROUND AND AIMSHeart failure (HF) presents a significant and growing public health challenge. The aim of this study was to develop and validate SCORE2-HF, a model for HF risk estimation in European adults aged over 40-years without previous cardiovascular disease.METHODSUsing data from 25 prospective cohorts (14 countries, 611 778 individuals, 21 818 incident HF events) the sex-specific, competing risk-adjusted SCORE2-HF models were derived including age, smoking status, systolic blood pressure, antihypertensive treatment, body mass-index (BMI), estimated glomerular filtration rate, and type 2 diabetes mellitus (T2DM), including age at diagnosis and glycated haemoglobin. Using Europe-wide statistics from the World Health Organization and linked health records from five countries (>36 million individuals, 515 466 incident HF events) models were recalibrated to contemporary 10-year and 30-year HF incidence in four European risk regions. SCORE2-HF was validated using data from three further cohorts (three countries; 1 336 824 participants; 36 841 incident HF-events).RESULTSIn the three external validation cohorts, C-indices (95% confidence interval) were 0.827 (0.824-0.829), 0.839 (0.827-0.850) and 0.874 (0.863-0.884). SCORE2-HF risks varied importantly by individual's risk factors, and risk region. For example, in the low-risk region, the average 10-year risk for 70-year-old individuals with zero versus four adverse risk factors (smoking, T2DM, hypertension and BMI >30 kg/m2), was 8% versus 24% in men and 6% versus 20% in women. By contrast, in the very high-risk region, average SCORE2-HF risk with four adverse risk factors was 59% in 70-year-old men or women.CONCLUSIONSSCORE2-HF - a model derived, recalibrated and validated to estimate 10-year and 30-year risk of incident HF across European countries - may enhance the identification of individuals at higher risk of developing HF.
背景和目的心力衰竭(HF)是一项重大且日益严重的公共卫生挑战。本研究的目的是开发和验证SCORE2-HF,这是一个40岁以上无心血管疾病的欧洲成年人HF风险评估模型。方法使用来自25个前瞻性队列(14个国家,611778人,21818例心衰事件)的数据,建立了性别特异性、竞争风险调整的SCORE2-HF模型,包括年龄、吸烟状况、收缩压、降压治疗、体重指数(BMI)、估计肾小球滤过率和2型糖尿病(T2DM),包括诊断年龄和糖化血红蛋白。使用来自世界卫生组织的全欧洲统计数据和来自5个国家的相关健康记录(36600万人,515466例心衰事件),将模型重新校准为欧洲4个危险地区当前10年和30年心衰发病率。使用另外三个队列(三个国家;1 336 824名参与者;36 841例hf事件)的数据验证SCORE2-HF。结果3个外部验证队列的c -指数(95%可信区间)分别为0.827(0.824-0.829)、0.839(0.827-0.850)和0.874(0.863-0.884)。SCORE2-HF风险因个体危险因素和危险区域而有显著差异。例如,在低风险地区,有4个不良风险因素(吸烟、2型糖尿病、高血压和BMI低于30 kg/m2)的70岁老人的10年平均风险为8%,男性为24%,女性为6%,女性为20%。相比之下,在非常高风险地区,70岁男性或女性的平均SCORE2-HF风险为59%,并伴有4种不良风险因素。结论:sscore2 -HF是一个推导、重新校准和验证的模型,用于估计欧洲国家10年和30年发生HF的风险,可以增强对发生HF高风险个体的识别。
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引用次数: 0
Lowering lipoprotein(a): inhibiting production or enhancing clearance? 降低脂蛋白(a):抑制生成还是增强清除?
IF 39.3 1区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2026-03-09 DOI: 10.1093/eurheartj/ehag132
Mohammed Ammar,Samia Mora
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引用次数: 0
The biological reality of frailty in the young. 年轻人脆弱的生理现实。
IF 39.3 1区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2026-03-09 DOI: 10.1093/eurheartj/ehag158
Hasan Mohiaddin,Mamas A Mamas,Muhammad Rashid
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引用次数: 0
Building a leadership pipeline through professional development. 通过专业发展建立领导力管道。
IF 35.6 1区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2026-03-09 DOI: 10.1093/eurheartj/ehaf618
Liesl Zühlke, Maria Rubini, Roxana Mehran
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引用次数: 0
The silent culprit: why 'hidden' plaque ruptures matter. 沉默的罪魁祸首:为什么“隐藏”的斑块破裂很重要。
IF 39.3 1区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2026-03-09 DOI: 10.1093/eurheartj/ehag122
Tatsuya Shiraki,Aloke V Finn,Renu Virmani
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引用次数: 0
Beyond relative risk: a deeper look at frailty in younger AMI patients. 超越相对风险:对年轻AMI患者虚弱的深入研究。
IF 39.3 1区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2026-03-09 DOI: 10.1093/eurheartj/ehag157
Miyuan Wang
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引用次数: 0
期刊
European Heart Journal
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