# Prospective electrocardiographic and cardiovascular magnetic resonance alterations in the UK Biobank coronavirus disease 2019 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

PMC · DOI: 10.1016/j.jocmr.2025.101957 · Journal of Cardiovascular Magnetic Resonance · 2025-09-10

## TL;DR

This study investigates whether COVID-19 causes changes in heart function by comparing repeat imaging data from infected and uninfected individuals.

## Contribution

The study uses pre- and post-infection imaging data to assess cardiovascular changes in COVID-19 patients compared to controls.

## Key findings

- Lower baseline heart function was linked to higher risk of COVID-19.
- No significant differences in heart imaging changes were found between infected and uninfected groups.
- Pre-existing heart issues may increase susceptibility to COVID-19.

## Abstract

Cardiovascular magnetic resonance (CMR) and electrocardiographic (ECG) abnormalities after coronavirus disease 2019 (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.

UK Biobank participants with documented COVID-19 who had CMR and ECG performed before 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.

We analyzed 2092 participants (1079 cases and 1013 controls) with average age of 60 ± 7 years. 47.1% were male. There was 3.2 ± 1.5 years between pre- and post-infection assessments. 3.6% 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.

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.

Created using Biorendr.com.ga1

Created using Biorendr.com.

## Linked entities

- **Diseases:** coronavirus disease 2019 (MONDO:0100096), COVID-19 (MONDO:0100096)

## Full-text entities

- **Diseases:** infection (MESH:D007239), cardiovascular abnormalities (MESH:D018376), COVID-19 (MESH:D000086382)

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC12780293/full.md

## Figures

6 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12780293/full.md

## References

40 references — full list in the complete paper: https://tomesphere.com/paper/PMC12780293/full.md

---
Source: https://tomesphere.com/paper/PMC12780293