MRI and CT coronary angiography in survivors of COVID-19 Article Swipe
YOU?
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· 2021
· Open Access
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· DOI: https://doi.org/10.1136/heartjnl-2021-319926
Objectives To determine the contribution of comorbidities on the reported widespread myocardial abnormalities in patients with recent COVID-19. Methods In a prospective two-centre observational study, patients hospitalised with confirmed COVID-19 underwent gadolinium and manganese-enhanced MRI and CT coronary angiography (CTCA). They were compared with healthy and comorbidity-matched volunteers after blinded analysis. Results In 52 patients (median age: 54 (IQR 51–57) years, 39 males) who recovered from COVID-19, one-third (n=15, 29%) were admitted to intensive care and a fifth (n=11, 21%) were ventilated. Twenty-three patients underwent CTCA, with one-third having underlying coronary artery disease (n=8, 35%). Compared with younger healthy volunteers (n=10), patients demonstrated reduced left (ejection fraction (EF): 57.4±11.1 (95% CI 54.0 to 60.1) versus 66.3±5 (95 CI 62.4 to 69.8)%; p=0.02) and right (EF: 51.7±9.1 (95% CI 53.9 to 60.1) vs 60.5±4.9 (95% CI 57.1 to 63.2)%; p≤0.0001) ventricular systolic function with elevated native T1 values (1225±46 (95% CI 1205 to 1240) vs 1197±30 (95% CI 1178 to 1216) ms;p=0.04) and extracellular volume fraction (ECV) (31±4 (95% CI 29.6 to 32.1) vs 24±3 (95% CI 22.4 to 26.4)%; p<0.0003) but reduced myocardial manganese uptake (6.9±0.9 (95% CI 6.5 to 7.3) vs 7.9±1.2 (95% CI 7.4 to 8.5) mL/100 g/min; p=0.01). Compared with comorbidity-matched volunteers (n=26), patients had preserved left ventricular function but reduced right ventricular systolic function (EF: 51.7±9.1 (95% CI 53.9 to 60.1) vs 59.3±4.9 (95% CI 51.0 to 66.5)%; p=0.0005) with comparable native T1 values (1225±46 (95% CI 1205 to 1240) vs 1227±51 (95% CI 1208 to 1246) ms; p=0.99), ECV (31±4 (95% CI 29.6 to 32.1) vs 29±5 (95% CI 27.0 to 31.2)%; p=0.35), presence of late gadolinium enhancement and manganese uptake. These findings remained irrespective of COVID-19 disease severity, presence of myocardial injury or ongoing symptoms. Conclusions Patients demonstrate right but not left ventricular dysfunction. Previous reports of left ventricular myocardial abnormalities following COVID-19 may reflect pre-existing comorbidities. Trial registration number NCT04625075 .
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1136/heartjnl-2021-319926
- https://heart.bmj.com/content/heartjnl/108/1/46.full.pdf
- OA Status
- hybrid
- Cited By
- 32
- References
- 31
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3204966308
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3204966308Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1136/heartjnl-2021-319926Digital Object Identifier
- Title
-
MRI and CT coronary angiography in survivors of COVID-19Work title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-10-06Full publication date if available
- Authors
-
Trisha Singh, Thomas A Kite, Shruti Joshi, Nick Spath, Lucy Kershaw, Andrew H. Baker, Helen Jordan, Gaurav S. Gulsin, Michelle C. Williams, Edwin J.R. van Beek, Jayanth R. Arnold, Scott Semple, Alastair J. Moss, David E. Newby, Marc R. Dweck, Gerry P McCannList of authors in order
- Landing page
-
https://doi.org/10.1136/heartjnl-2021-319926Publisher landing page
- PDF URL
-
https://heart.bmj.com/content/heartjnl/108/1/46.full.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
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https://heart.bmj.com/content/heartjnl/108/1/46.full.pdfDirect OA link when available
- Concepts
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Medicine, Ejection fraction, Coronary artery disease, Internal medicine, Comorbidity, Coronavirus disease 2019 (COVID-19), Cardiology, Heart failure, Disease, Infectious disease (medical specialty)Top concepts (fields/topics) attached by OpenAlex
- Cited by
-
32Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1, 2024: 4, 2023: 13, 2022: 12, 2021: 2Per-year citation counts (last 5 years)
- References (count)
-
31Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.were | 41, 70, 80 |
| abstract_inverted_index.with | 15, 27, 43, 86, 96, 142, 202, 233 |
| abstract_inverted_index.(ECV) | 165 |
| abstract_inverted_index.(EF): | 107 |
| abstract_inverted_index.(n=8, | 93 |
| abstract_inverted_index.1216) | 159 |
| abstract_inverted_index.1240) | 152, 243 |
| abstract_inverted_index.1246) | 250 |
| abstract_inverted_index.24±3 | 173 |
| abstract_inverted_index.29±5 | 261 |
| abstract_inverted_index.32.1) | 171, 259 |
| abstract_inverted_index.35%). | 94 |
| abstract_inverted_index.60.1) | 113, 130, 224 |
| abstract_inverted_index.CTCA, | 85 |
| abstract_inverted_index.These | 276 |
| abstract_inverted_index.Trial | 313 |
| abstract_inverted_index.after | 48 |
| abstract_inverted_index.fifth | 77 |
| abstract_inverted_index.right | 123, 214, 294 |
| abstract_inverted_index.(31±4 | 166, 254 |
| abstract_inverted_index.(n=11, | 78 |
| abstract_inverted_index.(n=15, | 68 |
| abstract_inverted_index.artery | 91 |
| abstract_inverted_index.g/min; | 199 |
| abstract_inverted_index.having | 88 |
| abstract_inverted_index.injury | 287 |
| abstract_inverted_index.mL/100 | 198 |
| abstract_inverted_index.males) | 62 |
| abstract_inverted_index.native | 144, 235 |
| abstract_inverted_index.number | 315 |
| abstract_inverted_index.recent | 16 |
| abstract_inverted_index.study, | 24 |
| abstract_inverted_index.uptake | 184 |
| abstract_inverted_index.values | 146, 237 |
| abstract_inverted_index.versus | 114 |
| abstract_inverted_index.volume | 163 |
| abstract_inverted_index.years, | 60 |
| abstract_inverted_index.(CTCA). | 39 |
| abstract_inverted_index.(median | 55 |
| abstract_inverted_index.(n=10), | 100 |
| abstract_inverted_index.(n=26), | 205 |
| abstract_inverted_index.26.4)%; | 178 |
| abstract_inverted_index.31.2)%; | 266 |
| abstract_inverted_index.63.2)%; | 137 |
| abstract_inverted_index.66.3±5 | 115 |
| abstract_inverted_index.66.5)%; | 231 |
| abstract_inverted_index.69.8)%; | 120 |
| abstract_inverted_index.Methods | 18 |
| abstract_inverted_index.Results | 51 |
| abstract_inverted_index.blinded | 49 |
| abstract_inverted_index.disease | 92, 282 |
| abstract_inverted_index.healthy | 44, 98 |
| abstract_inverted_index.ongoing | 289 |
| abstract_inverted_index.p=0.02) | 121 |
| abstract_inverted_index.reduced | 103, 181, 213 |
| abstract_inverted_index.reflect | 310 |
| abstract_inverted_index.reports | 301 |
| abstract_inverted_index.uptake. | 275 |
| abstract_inverted_index.younger | 97 |
| abstract_inverted_index.1197±30 | 154 |
| abstract_inverted_index.1227±51 | 245 |
| abstract_inverted_index.51–57) | 59 |
| abstract_inverted_index.7.9±1.2 | 192 |
| abstract_inverted_index.COVID-19 | 29, 281, 308 |
| abstract_inverted_index.Compared | 95, 201 |
| abstract_inverted_index.Patients | 292 |
| abstract_inverted_index.Previous | 300 |
| abstract_inverted_index.admitted | 71 |
| abstract_inverted_index.compared | 42 |
| abstract_inverted_index.coronary | 37, 90 |
| abstract_inverted_index.elevated | 143 |
| abstract_inverted_index.findings | 277 |
| abstract_inverted_index.fraction | 106, 164 |
| abstract_inverted_index.function | 141, 211, 217 |
| abstract_inverted_index.p=0.01). | 200 |
| abstract_inverted_index.p=0.35), | 267 |
| abstract_inverted_index.p=0.99), | 252 |
| abstract_inverted_index.patients | 14, 25, 54, 83, 101, 206 |
| abstract_inverted_index.presence | 268, 284 |
| abstract_inverted_index.remained | 278 |
| abstract_inverted_index.reported | 9 |
| abstract_inverted_index.systolic | 140, 216 |
| abstract_inverted_index.(1225±46 | 147, 238 |
| abstract_inverted_index.(6.9±0.9 | 185 |
| abstract_inverted_index.(ejection | 105 |
| abstract_inverted_index.51.7±9.1 | 125, 219 |
| abstract_inverted_index.59.3±4.9 | 226 |
| abstract_inverted_index.60.5±4.9 | 132 |
| abstract_inverted_index.COVID-19, | 66 |
| abstract_inverted_index.COVID-19. | 17 |
| abstract_inverted_index.analysis. | 50 |
| abstract_inverted_index.confirmed | 28 |
| abstract_inverted_index.determine | 2 |
| abstract_inverted_index.following | 307 |
| abstract_inverted_index.intensive | 73 |
| abstract_inverted_index.manganese | 183, 274 |
| abstract_inverted_index.one-third | 67, 87 |
| abstract_inverted_index.p=0.0005) | 232 |
| abstract_inverted_index.preserved | 208 |
| abstract_inverted_index.recovered | 64 |
| abstract_inverted_index.severity, | 283 |
| abstract_inverted_index.symptoms. | 290 |
| abstract_inverted_index.underwent | 30, 84 |
| abstract_inverted_index.57.4±11.1 | 108 |
| abstract_inverted_index.Objectives | 0 |
| abstract_inverted_index.comparable | 234 |
| abstract_inverted_index.gadolinium | 31, 271 |
| abstract_inverted_index.ms;p=0.04) | 160 |
| abstract_inverted_index.myocardial | 11, 182, 286, 305 |
| abstract_inverted_index.two-centre | 22 |
| abstract_inverted_index.underlying | 89 |
| abstract_inverted_index.volunteers | 47, 99, 204 |
| abstract_inverted_index.widespread | 10 |
| abstract_inverted_index.Conclusions | 291 |
| abstract_inverted_index.NCT04625075 | 316 |
| abstract_inverted_index.angiography | 38 |
| abstract_inverted_index.demonstrate | 293 |
| abstract_inverted_index.enhancement | 272 |
| abstract_inverted_index.prospective | 21 |
| abstract_inverted_index.p≤0.0001) | 138 |
| abstract_inverted_index.ventilated. | 81 |
| abstract_inverted_index.ventricular | 139, 210, 215, 298, 304 |
| abstract_inverted_index.Twenty-three | 82 |
| abstract_inverted_index.contribution | 4 |
| abstract_inverted_index.demonstrated | 102 |
| abstract_inverted_index.dysfunction. | 299 |
| abstract_inverted_index.hospitalised | 26 |
| abstract_inverted_index.irrespective | 279 |
| abstract_inverted_index.p<0.0003) | 179 |
| abstract_inverted_index.pre-existing | 311 |
| abstract_inverted_index.registration | 314 |
| abstract_inverted_index.abnormalities | 12, 306 |
| abstract_inverted_index.comorbidities | 6 |
| abstract_inverted_index.extracellular | 162 |
| abstract_inverted_index.observational | 23 |
| abstract_inverted_index.comorbidities. | 312 |
| abstract_inverted_index.manganese-enhanced | 33 |
| abstract_inverted_index.comorbidity-matched | 46, 203 |
| cited_by_percentile_year.max | 99 |
| cited_by_percentile_year.min | 91 |
| corresponding_author_ids | https://openalex.org/A5074074502 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 16 |
| corresponding_institution_ids | https://openalex.org/I98677209 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.6299999952316284 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.94058262 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |