Relationship between left ventricular shape and cardiovascular risk factors: comparison between the Multi-Ethnic Study of Atherosclerosis and UK Biobank.
Avan Suinesiaputra, Kathleen Gilbert, Charlene Mauger, David A Bluemke, Colin O Wu, Nay Aung, Stefan Neubauer, Stefan K Piechnik, Steffen E Petersen, Joao A C Lima, Bharath Ambale Venkatesh, Alistair Young
{"title":"Relationship between left ventricular shape and cardiovascular risk factors: comparison between the Multi-Ethnic Study of Atherosclerosis and UK Biobank.","authors":"Avan Suinesiaputra, Kathleen Gilbert, Charlene Mauger, David A Bluemke, Colin O Wu, Nay Aung, Stefan Neubauer, Stefan K Piechnik, Steffen E Petersen, Joao A C Lima, Bharath Ambale Venkatesh, Alistair Young","doi":"10.1136/heartjnl-2024-324658","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Statistical shape atlases have been used in large-cohort studies to investigate relationships between heart shape and risk factors. The generalisability of these relationships between cohorts is unknown. The aims of this study were to compare left ventricular (LV) shapes in patients with differing cardiovascular risk factor profiles from two cohorts and to investigate whether LV shape scores generated with respect to a reference cohort can be directly used to study shape differences in another cohort.</p><p><strong>Methods: </strong>Two cardiac MRI cohorts were included: 2106 participants (median age: 65 years, 54% women) from the Multi-Ethnic Study of Atherosclerosis (MESA) and 2960 participants (median age: 64 years, 52% women) from the UK Biobank (UKB) study. LV shape atlases were constructed from 3D LV models derived from expert-drawn contours from separate core labs. Atlases were considered generalisable for a risk factor if the area under the receiver operating characteristic curves (AUC) were not significantly different (p>0.05) between internal (within-cohort) and external (cross-cohort) cases.</p><p><strong>Results: </strong>LV mass and volume indices were differed significantly between cohorts, even in age-matched and sex-matched cases without risk factors, partly reflecting different core lab analysis protocols. For the UKB atlas, internal and external discriminative performance were not significantly different for hypertension (AUC: 0.77 vs 0.76, p=0.37), diabetes (AUC: 0.79 vs 0.77, p=0.48), hypercholesterolaemia (AUC: 0.76 vs 0.79, p=0.38) and smoking (AUC: 0.69 vs 0.67, p=0.18). For the MESA atlas, diabetes (AUC: 0.79 vs 0.74, p=0.09) and hypercholesterolaemia (AUC: 0.75 vs 0.70, p=0.10) were not significantly different. Both atlases showed significant differences for obesity.</p><p><strong>Conclusions: </strong>The MESA and UKB atlases demonstrated good generalisability for diabetes and hypercholesterolaemia, without requiring corrections for differences in mass and volume. Significant differences in obesity may be due to different relationships between obesity and heart shapes between cohorts.</p>","PeriodicalId":12835,"journal":{"name":"Heart","volume":" ","pages":""},"PeriodicalIF":5.1000,"publicationDate":"2025-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Heart","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1136/heartjnl-2024-324658","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CARDIAC & CARDIOVASCULAR SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Statistical shape atlases have been used in large-cohort studies to investigate relationships between heart shape and risk factors. The generalisability of these relationships between cohorts is unknown. The aims of this study were to compare left ventricular (LV) shapes in patients with differing cardiovascular risk factor profiles from two cohorts and to investigate whether LV shape scores generated with respect to a reference cohort can be directly used to study shape differences in another cohort.
Methods: Two cardiac MRI cohorts were included: 2106 participants (median age: 65 years, 54% women) from the Multi-Ethnic Study of Atherosclerosis (MESA) and 2960 participants (median age: 64 years, 52% women) from the UK Biobank (UKB) study. LV shape atlases were constructed from 3D LV models derived from expert-drawn contours from separate core labs. Atlases were considered generalisable for a risk factor if the area under the receiver operating characteristic curves (AUC) were not significantly different (p>0.05) between internal (within-cohort) and external (cross-cohort) cases.
Results: LV mass and volume indices were differed significantly between cohorts, even in age-matched and sex-matched cases without risk factors, partly reflecting different core lab analysis protocols. For the UKB atlas, internal and external discriminative performance were not significantly different for hypertension (AUC: 0.77 vs 0.76, p=0.37), diabetes (AUC: 0.79 vs 0.77, p=0.48), hypercholesterolaemia (AUC: 0.76 vs 0.79, p=0.38) and smoking (AUC: 0.69 vs 0.67, p=0.18). For the MESA atlas, diabetes (AUC: 0.79 vs 0.74, p=0.09) and hypercholesterolaemia (AUC: 0.75 vs 0.70, p=0.10) were not significantly different. Both atlases showed significant differences for obesity.
Conclusions: The MESA and UKB atlases demonstrated good generalisability for diabetes and hypercholesterolaemia, without requiring corrections for differences in mass and volume. Significant differences in obesity may be due to different relationships between obesity and heart shapes between cohorts.
背景：统计形状地图集已用于大型队列研究，以调查心脏形状和危险因素之间的关系。这些群体间关系的普遍性尚不清楚。本研究的目的是比较两个队列中具有不同心血管危险因素的患者的左心室（LV）形状，并研究参考队列中产生的左心室形状评分是否可以直接用于研究另一个队列中的形状差异。方法：包括两个心脏MRI队列：来自多种族动脉粥样硬化研究（MESA）的2106名参与者（中位年龄：65岁，54%女性）和来自英国生物银行（UKB）研究的2960名参与者（中位年龄：64岁，52%女性）。LV形状地图集由独立核心实验室专家绘制的三维LV模型构建而成。如果受试者工作特征曲线（AUC）下的面积在内部（队列内）和外部（跨队列）病例之间没有显著差异（p>0.05），则认为地图集对于危险因素具有普遍性。结果：即使在没有危险因素的年龄匹配和性别匹配的病例中，左室质量和容积指数在队列之间也存在显著差异，部分反映了不同的核心实验室分析方案。对于UKB图谱，内部和外部判别性能在高血压（AUC: 0.77 vs 0.76, p=0.37）、糖尿病（AUC: 0.79 vs 0.77, p=0.48）、高胆固醇血症（AUC: 0.76 vs 0.79, p=0.38）和吸烟（AUC: 0.69 vs 0.67, p=0.18）方面没有显著差异。对于MESA图谱，糖尿病（AUC: 0.79 vs 0.74, p=0.09）和高胆固醇血症（AUC: 0.75 vs 0.70, p=0.10）无显著差异。两种地图集都显示出肥胖的显著差异。结论：MESA和UKB图谱对糖尿病和高胆固醇血症具有良好的通用性，不需要对质量和体积的差异进行校正。肥胖的显著差异可能是由于肥胖和心脏形状之间的不同关系。
期刊介绍：
Heart is an international peer reviewed journal that keeps cardiologists up to date with important research advances in cardiovascular disease. New scientific developments are highlighted in editorials and put in context with concise review articles. There is one free Editor’s Choice article in each issue, with open access options available to authors for all articles. Education in Heart articles provide a comprehensive, continuously updated, cardiology curriculum.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
