Anne Marie Reimer Jensen, James C. Ross, Victoria Arthur, Michael E. Hall, Kunihiro Matsushita, Brandon Lennep, Pamela L. Lutsey, Tor Biering‐Sørensen, Amil M. Shah
{"title":"收缩期和舒张期功能的综合轨迹与心力衰竭风险的差异与射血分数和蛋白质组学特征的保留和降低有关","authors":"Anne Marie Reimer Jensen, James C. Ross, Victoria Arthur, Michael E. Hall, Kunihiro Matsushita, Brandon Lennep, Pamela L. Lutsey, Tor Biering‐Sørensen, Amil M. Shah","doi":"10.1002/ejhf.70015","DOIUrl":null,"url":null,"abstract":"AimsTo jointly model longitudinal measures of left ventricular ejection fraction (LVEF) and E/A ratio in late‐life, and to assess whether predicted trajectory membership is associated with heart failure risk.Methods and resultsUsing a Bayesian non‐parametric trajectory approach, trajectories were modelled among 747 Jackson Heart Study participants who underwent ≥2 echocardiograms in 2000–2004 (age 65 ± 5 years), 2011–2013 (75 ± 5), and 2018–2019 (81 ± 5). Using the resulting model, we predicted trajectory membership for 4419 distinct Atherosclerosis Risk in Communities (ARIC) study participants based on single time‐point measures of LVEF and E/A ratio (age 75 ± 5 years; ‘testing cohort’). Multivariable Cox models assessed the relationship between predicted trajectory and incident heart failure with preserved (HFpEF) and reduced ejection fraction (HFrEF). We evaluated associations of 4877 plasma proteins (SOMAscan) with predicted trajectory and performed Mendelian randomization to assess causal effects on LVEF and volume. Six trajectories were identified: pink (prevalence 50%) and light green (17%) – increasing LVEF, decreasing E/A ratio with age; red (22%) – no increase in LVEF; dark green (4%) – declining LVEF; orange (2%) – steeply declining LVEF, rising E/A ratio; and blue (4%) – rising E/A ratio despite increasing LVEF. In the testing cohort, red and dark green associated with HFrEF alone, blue with HFpEF alone, and orange with both compared to pink. Trajectory membership provided incremental value in predicting heart failure and HFpEF. Mendelian randomization identified potential causal effects of 13 trajectory‐associated proteins on LVEF and volume.ConclusionsBayesian non‐parametric modelling identifies cardiac function trajectories differentially associated with HFpEF and HFrEF and holds promise to improve risk prediction and enable therapeutic target discovery.","PeriodicalId":164,"journal":{"name":"European Journal of Heart Failure","volume":"66 1","pages":""},"PeriodicalIF":10.8000,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Integrated trajectories of systolic and diastolic function differentially associate with risk for heart failure with preserved and reduced ejection fraction and proteomic profiles\",\"authors\":\"Anne Marie Reimer Jensen, James C. Ross, Victoria Arthur, Michael E. Hall, Kunihiro Matsushita, Brandon Lennep, Pamela L. Lutsey, Tor Biering‐Sørensen, Amil M. Shah\",\"doi\":\"10.1002/ejhf.70015\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"AimsTo jointly model longitudinal measures of left ventricular ejection fraction (LVEF) and E/A ratio in late‐life, and to assess whether predicted trajectory membership is associated with heart failure risk.Methods and resultsUsing a Bayesian non‐parametric trajectory approach, trajectories were modelled among 747 Jackson Heart Study participants who underwent ≥2 echocardiograms in 2000–2004 (age 65 ± 5 years), 2011–2013 (75 ± 5), and 2018–2019 (81 ± 5). Using the resulting model, we predicted trajectory membership for 4419 distinct Atherosclerosis Risk in Communities (ARIC) study participants based on single time‐point measures of LVEF and E/A ratio (age 75 ± 5 years; ‘testing cohort’). Multivariable Cox models assessed the relationship between predicted trajectory and incident heart failure with preserved (HFpEF) and reduced ejection fraction (HFrEF). We evaluated associations of 4877 plasma proteins (SOMAscan) with predicted trajectory and performed Mendelian randomization to assess causal effects on LVEF and volume. Six trajectories were identified: pink (prevalence 50%) and light green (17%) – increasing LVEF, decreasing E/A ratio with age; red (22%) – no increase in LVEF; dark green (4%) – declining LVEF; orange (2%) – steeply declining LVEF, rising E/A ratio; and blue (4%) – rising E/A ratio despite increasing LVEF. In the testing cohort, red and dark green associated with HFrEF alone, blue with HFpEF alone, and orange with both compared to pink. Trajectory membership provided incremental value in predicting heart failure and HFpEF. Mendelian randomization identified potential causal effects of 13 trajectory‐associated proteins on LVEF and volume.ConclusionsBayesian non‐parametric modelling identifies cardiac function trajectories differentially associated with HFpEF and HFrEF and holds promise to improve risk prediction and enable therapeutic target discovery.\",\"PeriodicalId\":164,\"journal\":{\"name\":\"European Journal of Heart Failure\",\"volume\":\"66 1\",\"pages\":\"\"},\"PeriodicalIF\":10.8000,\"publicationDate\":\"2025-09-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"European Journal of Heart Failure\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1002/ejhf.70015\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CARDIAC & CARDIOVASCULAR SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Journal of Heart Failure","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1002/ejhf.70015","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CARDIAC & CARDIOVASCULAR SYSTEMS","Score":null,"Total":0}
Integrated trajectories of systolic and diastolic function differentially associate with risk for heart failure with preserved and reduced ejection fraction and proteomic profiles
AimsTo jointly model longitudinal measures of left ventricular ejection fraction (LVEF) and E/A ratio in late‐life, and to assess whether predicted trajectory membership is associated with heart failure risk.Methods and resultsUsing a Bayesian non‐parametric trajectory approach, trajectories were modelled among 747 Jackson Heart Study participants who underwent ≥2 echocardiograms in 2000–2004 (age 65 ± 5 years), 2011–2013 (75 ± 5), and 2018–2019 (81 ± 5). Using the resulting model, we predicted trajectory membership for 4419 distinct Atherosclerosis Risk in Communities (ARIC) study participants based on single time‐point measures of LVEF and E/A ratio (age 75 ± 5 years; ‘testing cohort’). Multivariable Cox models assessed the relationship between predicted trajectory and incident heart failure with preserved (HFpEF) and reduced ejection fraction (HFrEF). We evaluated associations of 4877 plasma proteins (SOMAscan) with predicted trajectory and performed Mendelian randomization to assess causal effects on LVEF and volume. Six trajectories were identified: pink (prevalence 50%) and light green (17%) – increasing LVEF, decreasing E/A ratio with age; red (22%) – no increase in LVEF; dark green (4%) – declining LVEF; orange (2%) – steeply declining LVEF, rising E/A ratio; and blue (4%) – rising E/A ratio despite increasing LVEF. In the testing cohort, red and dark green associated with HFrEF alone, blue with HFpEF alone, and orange with both compared to pink. Trajectory membership provided incremental value in predicting heart failure and HFpEF. Mendelian randomization identified potential causal effects of 13 trajectory‐associated proteins on LVEF and volume.ConclusionsBayesian non‐parametric modelling identifies cardiac function trajectories differentially associated with HFpEF and HFrEF and holds promise to improve risk prediction and enable therapeutic target discovery.
期刊介绍:
European Journal of Heart Failure is an international journal dedicated to advancing knowledge in the field of heart failure management. The journal publishes reviews and editorials aimed at improving understanding, prevention, investigation, and treatment of heart failure. It covers various disciplines such as molecular and cellular biology, pathology, physiology, electrophysiology, pharmacology, clinical sciences, social sciences, and population sciences. The journal welcomes submissions of manuscripts on basic, clinical, and population sciences, as well as original contributions on nursing, care of the elderly, primary care, health economics, and other related specialist fields. It is published monthly and has a readership that includes cardiologists, emergency room physicians, intensivists, internists, general physicians, cardiac nurses, diabetologists, epidemiologists, basic scientists focusing on cardiovascular research, and those working in rehabilitation. The journal is abstracted and indexed in various databases such as Academic Search, Embase, MEDLINE/PubMed, and Science Citation Index.