Sucharitha Chadalavada, Ahmed Salih, Hafiz Naderi, Elisa Rauseo, Jackie Cooper, Stefan van Duijvenboden, Anwar A Chahal, Gaith S Dabbagh, Liliana Szabo, Mohammed Y Khanji, Jose D Vargas, Mihir Sanghvi, Kenneth Fung, Jose Paiva, Stefan K Piechnik, Betty Raman, Patricia B Munroe, Aaron Mark Lee, Alborz Amir-Khalili, Luca Biasiolli, John P Greenwood, Paul M Matthews, Wenjia Bai, Stefan Neubauer, Nay Aung, Nicholas C Harvey, Zahra Raisi-Estabragh, Steffen E Petersen
{"title":"英国生物银行COVID-19重复成像研究的前瞻性心电图和心血管磁共振改变","authors":"Sucharitha Chadalavada, Ahmed Salih, Hafiz Naderi, Elisa Rauseo, Jackie Cooper, Stefan van Duijvenboden, Anwar A Chahal, Gaith S Dabbagh, Liliana Szabo, Mohammed Y Khanji, Jose D Vargas, Mihir Sanghvi, Kenneth Fung, Jose Paiva, Stefan K Piechnik, Betty Raman, Patricia B Munroe, Aaron Mark Lee, Alborz Amir-Khalili, Luca Biasiolli, John P Greenwood, Paul M Matthews, Wenjia Bai, Stefan Neubauer, Nay Aung, Nicholas C Harvey, Zahra Raisi-Estabragh, Steffen E Petersen","doi":"10.1016/j.jocmr.2025.101957","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Cardiovascular magnetic resonance (CMR) and electrocardiographic (ECG) abnormalities after COVID-19 are widely reported. However, the absence of pre-infection assessments limits causal inference from these studies. This study aims to compare interval change in CMR and ECG measures in participants with incident COVID-19 and matched uninfected controls in UK Biobank.</p><p><strong>Methods: </strong>UK Biobank participants with documented COVID-19 who had CMR and ECG performed prior to the pandemic were invited for repeat assessment, along with uninfected participants matched on age, sex, ethnicity, location, and date of baseline imaging. Automated pipelines were used to extract ECG phenotypes and CMR measures of cardiac structure and function, aortic distensibility, aortic flow, and myocardial native T1. Logistic regression was used to examine associations of baseline metrics with incident COVID-19. Standardized residual approach was used to compare the degree of interval change in CMR and ECG metrics between cases and controls.</p><p><strong>Results: </strong>We analyzed 2,092 participants (1,079 cases, 1,013 controls) with average age of 60±7 years. 47% were male. There was 3.2±1.5 years between pre- and post-infection assessments. 4% of cases were hospitalized. Lower baseline left ventricular ejection fraction and worse longitudinal, circumferential, and radial strain were associated with higher risk of incident COVID-19. There were no significant differences in interval change of any CMR or ECG metric between cases and controls.</p><p><strong>Conclusions: </strong>While pre-existing cardiovascular abnormalities are linked to higher risk of COVID-19, exposure to infection does not alter interval change of highly sensitive CMR and ECG indicators of cardiovascular health.</p>","PeriodicalId":15221,"journal":{"name":"Journal of Cardiovascular Magnetic Resonance","volume":" ","pages":"101957"},"PeriodicalIF":6.1000,"publicationDate":"2025-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Prospective electrocardiographic and cardiovascular magnetic resonance alterations in the UK Biobank COVID-19 repeat imaging study.\",\"authors\":\"Sucharitha Chadalavada, Ahmed Salih, Hafiz Naderi, Elisa Rauseo, Jackie Cooper, Stefan van Duijvenboden, Anwar A Chahal, Gaith S Dabbagh, Liliana Szabo, Mohammed Y Khanji, Jose D Vargas, Mihir Sanghvi, Kenneth Fung, Jose Paiva, Stefan K Piechnik, Betty Raman, Patricia B Munroe, Aaron Mark Lee, Alborz Amir-Khalili, Luca Biasiolli, John P Greenwood, Paul M Matthews, Wenjia Bai, Stefan Neubauer, Nay Aung, Nicholas C Harvey, Zahra Raisi-Estabragh, Steffen E Petersen\",\"doi\":\"10.1016/j.jocmr.2025.101957\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Cardiovascular magnetic resonance (CMR) and electrocardiographic (ECG) abnormalities after COVID-19 are widely reported. However, the absence of pre-infection assessments limits causal inference from these studies. This study aims to compare interval change in CMR and ECG measures in participants with incident COVID-19 and matched uninfected controls in UK Biobank.</p><p><strong>Methods: </strong>UK Biobank participants with documented COVID-19 who had CMR and ECG performed prior to the pandemic were invited for repeat assessment, along with uninfected participants matched on age, sex, ethnicity, location, and date of baseline imaging. Automated pipelines were used to extract ECG phenotypes and CMR measures of cardiac structure and function, aortic distensibility, aortic flow, and myocardial native T1. Logistic regression was used to examine associations of baseline metrics with incident COVID-19. Standardized residual approach was used to compare the degree of interval change in CMR and ECG metrics between cases and controls.</p><p><strong>Results: </strong>We analyzed 2,092 participants (1,079 cases, 1,013 controls) with average age of 60±7 years. 47% were male. There was 3.2±1.5 years between pre- and post-infection assessments. 4% of cases were hospitalized. Lower baseline left ventricular ejection fraction and worse longitudinal, circumferential, and radial strain were associated with higher risk of incident COVID-19. There were no significant differences in interval change of any CMR or ECG metric between cases and controls.</p><p><strong>Conclusions: </strong>While pre-existing cardiovascular abnormalities are linked to higher risk of COVID-19, exposure to infection does not alter interval change of highly sensitive CMR and ECG indicators of cardiovascular health.</p>\",\"PeriodicalId\":15221,\"journal\":{\"name\":\"Journal of Cardiovascular Magnetic Resonance\",\"volume\":\" \",\"pages\":\"101957\"},\"PeriodicalIF\":6.1000,\"publicationDate\":\"2025-09-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Cardiovascular Magnetic Resonance\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1016/j.jocmr.2025.101957\",\"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":"Journal of Cardiovascular Magnetic Resonance","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.jocmr.2025.101957","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CARDIAC & CARDIOVASCULAR SYSTEMS","Score":null,"Total":0}
Prospective electrocardiographic and cardiovascular magnetic resonance alterations in the UK Biobank COVID-19 repeat imaging study.
Background: Cardiovascular magnetic resonance (CMR) and electrocardiographic (ECG) abnormalities after COVID-19 are widely reported. However, the absence of pre-infection assessments limits causal inference from these studies. This study aims to compare interval change in CMR and ECG measures in participants with incident COVID-19 and matched uninfected controls in UK Biobank.
Methods: UK Biobank participants with documented COVID-19 who had CMR and ECG performed prior to the pandemic were invited for repeat assessment, along with uninfected participants matched on age, sex, ethnicity, location, and date of baseline imaging. Automated pipelines were used to extract ECG phenotypes and CMR measures of cardiac structure and function, aortic distensibility, aortic flow, and myocardial native T1. Logistic regression was used to examine associations of baseline metrics with incident COVID-19. Standardized residual approach was used to compare the degree of interval change in CMR and ECG metrics between cases and controls.
Results: We analyzed 2,092 participants (1,079 cases, 1,013 controls) with average age of 60±7 years. 47% were male. There was 3.2±1.5 years between pre- and post-infection assessments. 4% of cases were hospitalized. Lower baseline left ventricular ejection fraction and worse longitudinal, circumferential, and radial strain were associated with higher risk of incident COVID-19. There were no significant differences in interval change of any CMR or ECG metric between cases and controls.
Conclusions: While pre-existing cardiovascular abnormalities are linked to higher risk of COVID-19, exposure to infection does not alter interval change of highly sensitive CMR and ECG indicators of cardiovascular health.
期刊介绍:
Journal of Cardiovascular Magnetic Resonance (JCMR) publishes high-quality articles on all aspects of basic, translational and clinical research on the design, development, manufacture, and evaluation of cardiovascular magnetic resonance (CMR) methods applied to the cardiovascular system. Topical areas include, but are not limited to:
New applications of magnetic resonance to improve the diagnostic strategies, risk stratification, characterization and management of diseases affecting the cardiovascular system.
New methods to enhance or accelerate image acquisition and data analysis.
Results of multicenter, or larger single-center studies that provide insight into the utility of CMR.
Basic biological perceptions derived by CMR methods.