Risk of acute myocardial infarction and ischaemic stroke following COVID-19 in Sweden: a self-controlled case series and matched cohort study
Open accessAbstract
Background COVID-19 is a complex disease targeting many organs. Previous studies highlight COVID-19 as a probable risk factor for acute cardiovascular complications. We aimed to quantify the risk of acute myocardial infarction and ischaemic stroke associated with COVID-19 by analysing all COVID-19 cases in Sweden.Methods This self-controlled case series (SCCS) and matched cohort study was done in Sweden. The personal identification numbers of all patients with COVID-19 in Sweden from Feb 1 to Sept 14, 2020, were identified and cross-linked with national inpatient, outpatient, cancer, and cause of death registers. The controls were matched on age, sex, and county of residence in Sweden. International Classification of Diseases codes for acute myocardial infarction or ischaemic stroke were identified in causes of hospital admission for all patients with COVID-19 in the SCCS and all patients with COVID-19 and the matched control individuals in the matched cohort study. The SCCS method was used to calculate the incidence rate ratio (IRR) for first acute myocardial infarction or ischaemic stroke following COVID-19 compared with a control period. The matched cohort study was used to determine the increased risk that COVID-19 confers compared with the background population of increased acute myocardial infarction or ischaemic stroke in the first 2 weeks following COVID-19.Findings 86 742 patients with COVID-19 were included in the SCCS study, and 348 481 matched control individuals were also included in the matched cohort study. When day of exposure was excluded from the risk period in the SCCS, the IRR for acute myocardial infarction was 2·89 (95% CI 1·51-5·55) for the first week, 2·53 (1·29-4·94) for the second week, and 1·60 (0·84-3·04) in weeks 3 and 4 following COVID-19. When day of exposure was included in the risk period, IRR was 8·44 (5·45-13·08) for the first week, 2·56 (1·31-5·01) for the second week, and 1·62 (0·85-3·09) for weeks 3 and 4 following COVID-19. The corresponding IRRs for ischaemic stroke when day of exposure was excluded from the risk period were 2·97 (1·71-5·15) in the first week, 2·80 (1·60-4·88) in the second week, and 2·10 (1·33-3·32) in weeks 3 and 4 following COVID-19; when day of exposure was included in the risk period, the IRRs were 6·18 (4·06-9·42) for the first week, 2·85 (1·64-4·97) for the second week, and 2·14 (1·36-3·38) for weeks 3 and 4 following COVID-19. In the matched cohort analysis excluding day 0, the odds ratio (OR) for acute myocardial infarction was 3·41 (1·58-7·36) and for stroke was 3·63 (1·69-7·80) in the 2 weeks following COVID-19. When day 0 was included in the matched cohort study, the OR for acute myocardial infarction was 6·61 (3·56-12·20) and for ischaemic stroke was 6·74 (3·71-12·20) in the 2 weeks following COVID-19.Interpretation Our findings suggest that COVID-19 is a risk factor for acute myocardial infarction and ischaemic stroke. This indicates that acute myocardial infarction and ischaemic stroke represent a part of the clinical picture of COVID-19, and highlights the need for vaccination against COVID-19.Funding Central ALF-funding and Base Unit ALF-Funding, Region Västerbotten, Sweden; Strategic funding during 2020 from the Department of Clinical Microbiology, Umeå University, Sweden; Stroke Research in Northern Sweden; The Laboratory for Molecular Infection Medicine Sweden.
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Charlson, M. E., Pompei, P., Ales, K. L., & MacKenzie, C. R. (1987) · Journal of Chronic Diseases · doi:10.1016/0021-9681(87)90171-8 · Cited by 49,742 · see citing works
Wang, D., Hu, B., Hu, C., Zhu, F., Liu, X., Zhang, J., Wang, B., Xiang, H., Cheng, Z., Xiong, Y., et al. (2020) · JAMA · doi:10.1001/jama.2020.1585 · Cited by 20,148 · see citing works
La certeza de lo impredecible: Cultura Educación y Sociedad en tiempos de COVID19
Martínez González, M. (2020) · DSPACE System - Metalibrary (University of the Coast) · Cited by 18,463 · see citing works
Atrial fibrillation as an independent risk factor for stroke: the Framingham study
Wolf, P. A., Abbott, R. D., & Kannel, W. B. (1991) · Stroke · doi:10.1161/01.str.22.8.983 · Cited by 7,388 · see citing works
Endothelial cell infection and endotheliitis in COVID-19
Varga, Z., Flammer, A. J., Steiger, P., Haberecker, M., Andermatt, R., Zinkernagel, A. S., Mehra, M. R., Schuepbach, R. A., Ruschitzka, F., & Moch, H. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30937-5 · Cited by 6,358 · see citing works
Lauer, S. A., Grantz, K. H., Bi, Q., Jones, F. K., Zheng, Q., Meredith, H. R., Azman, A. S., Reich, N. G., & Lessler, J. (2020) · Annals of Internal Medicine · doi:10.7326/m20-0504 · Cited by 5,970 · see citing works
External review and validation of the Swedish national inpatient register
Ludvigsson, J. F., Andersson, E., Ekbom, A., Feychting, M., Kim, J.-L., Reuterwall, C., Heurgren, M., & Olausson, P. O. (2011) · BMC Public Health · doi:10.1186/1471-2458-11-450 · Cited by 5,055 · see citing works
Helms, J., Tacquard, C. A., Séverac, F., Léonard-Lorant, I., Ohana, M., Delabranche, X., Merdji, H., Clère-Jehl, R., Schenck, M., Gandet, F. F., et al. (2020) · Intensive Care Medicine · doi:10.1007/s00134-020-06062-x · Cited by 2,818 · see citing works
Lodigiani, C., Iapichino, G., Carenzo, L., Cecconi, M., Ferrazzi, P., Sebastian, T., Kucher, N., Studt, J.-D., Sacco, C., Bertuzzi, A., et al. (2020) · Thrombosis Research · doi:10.1016/j.thromres.2020.04.024 · Cited by 2,054 · see citing works
Li, Y., 王梦嵽, Zhou, Y., Chang, J., Xian, Y., Mao, L., Hong, C., Chen, S., Wang, Y., Wang, H., et al. (2020) · Stroke and Vascular Neurology · doi:10.1136/svn-2020-000431 · Cited by 1,062 · see citing works
Merkler, A. E., Parikh, N. S., Mir, S., Gupta, A., Kamel, H., Lin, E., Lantos, J., Schenck, E. J., Goyal, P., Bruce, S. S., et al. (2020) · JAMA Neurology · doi:10.1001/jamaneurol.2020.2730 · Cited by 940 · see citing works
Thrombosis in Hospitalized Patients With COVID-19 in a New York City Health System
Bilaloglu, S., Aphinyanaphongs, Y., Jones, S., Iturrate, E., Hochman, J. S., & Berger, J. S. (2020) · JAMA · doi:10.1001/jama.2020.13372 · Cited by 819 · see citing works
Tutorial in biostatistics: the self‐controlled case series method
Whitaker, H. J., Paddy Farrington, C., Spiessens, B., & Musonda, P. (2006) · Statistics in Medicine · doi:10.1002/sim.2302 · Cited by 719 · see citing works
COVID-19 pandemic and admission rates for and management of acute coronary syndromes in england
Mafham, M. M., Spata, E., Goldacre, R., Gair, D., Curnow, P., Bray, M., Hollings, S., Roebuck, C., Gale, C. P., Mamas, M. A., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)31356-8 · Cited by 714 · see citing works
Acute Infection and Myocardial Infarction
Musher, D. M., Abers, M. S., & Corrales‐Medina, V. (2019) · New England Journal of Medicine · doi:10.1056/nejmra1808137 · Cited by 492 · see citing works
ST-Elevation Myocardial Infarction in Patients With COVID-19
Stefanini, G. G., Montorfano, M., Trabattoni, D., Andreini, D., Ferrante, G., Ancona, M., Metra, M., Curello, S., Maffeo, D., Pero, G., et al. (2020) · Circulation · doi:10.1161/circulationaha.120.047525 · Cited by 426 · see citing works
Ethical aspects of registry-based research in the Nordic countries
Ludvigsson, J. F., Nørgaard, M., Weiderpass, E., Håberg, S. E., Lafolie, P., Sarkkola, C., von Kraemer, S., Zoëga, H., & Knudsen, G. P. (2015) · Clinical Epidemiology · doi:10.2147/clep.s90589 · Cited by 359 · see citing works
COVID-19 and ischemic stroke: a systematic review and meta-summary of the literature
Tan, Y. K., Goh, C. M. J. L., Leow, A. S., Tambyah, P. A., Ang, A., Yap, E. S., Tu, T. M., Sharma, V. K., Yeo, L. L. L., Chan, B., et al. (2020) · Journal of Thrombosis and Thrombolysis · doi:10.1007/s11239-020-02228-y · Cited by 318 · see citing works
Acute myocardial infarction and influenza: a meta-analysis of case–control studies
Barnes, M., Heywood, A. E., Mahimbo, A., Rahman, B., Newall, A. T., & MacIntyre, C. R. (2015) · Heart · doi:10.1136/heartjnl-2015-307691 · Cited by 311 · see citing works
Adaptation of the Charlson Comorbidity Index for Register-Based Research in Sweden
Ludvigsson, J. F., Appelros, P., Askling, J., Byberg, L., Carrero, J. J., Ekström, A. M., Ekström, M. P., Smedby, K. E. E., Hagström, H., James, S. K., et al. (2021) · Clinical Epidemiology · doi:10.2147/clep.s282475 · Cited by 291 · see citing works
Acute COVID-19 and the Incidence of Ischemic Stroke and Acute Myocardial Infarction
Modin, D., Claggett, B. L., Sindet‐Pedersen, C., Lassen, M. C. H., Skaarup, K. G., Jensen, J. S., Fralick, M., Schou, M., Lamberts, M., Gerds, T. A., et al. (2020) · Circulation · doi:10.1161/circulationaha.120.050809 · Cited by 254 · see citing works
Clayton, T. C., Thompson, M., & Meade, T. W. (2007) · European Heart Journal · doi:10.1093/eurheartj/ehm516 · Cited by 242 · see citing works
Acute Stroke Care Is at Risk in the Era of COVID-19
Rudilosso, S., Laredo, C., Vera, V., Vargas, M., Renú, A., Llull, L., Obach, V., Amaro, S., Urra, X., Torres, F., et al. (2020) · Stroke · doi:10.1161/strokeaha.120.030329 · Cited by 231 · see citing works
Cardiovascular Manifestations of COVID-19 Infection
Magadum, A., & Kishore, R. (2020) · Cells · doi:10.3390/cells9112508 · Cited by 224 · see citing works
Gawalko, M. M., Kapłon‐Cieślicka, A., Hohl, M., Dobrev, D., & Linz, D. (2020) · IJC Heart & Vasculature · doi:10.1016/j.ijcha.2020.100631 · Cited by 160 · see citing works
Thakkar, S. J., Arora, S., Kumar, A., Jaswaney, R., Faisaluddin, M., Din, M. A. U., Shariff, M., Barssoum, K. N., Patel, H., Arora, N., et al. (2020) · Clinical Medicine Insights Cardiology · doi:10.1177/1179546820977196 · Cited by 53 · see citing works
Connolly-Andersen, A.-M., Hammargren, E., Whitaker, H., Eliasson, M., Holmgren, L., Klingström, J., & Ahlm, C. (2014) · Circulation · doi:10.1161/circulationaha.113.001870 · Cited by 47 · see citing works
Liu, Y., Wu, S., Qin, M., Jiang, W., & Liu, X. (2020) · Journal of the American Heart Association · doi:10.1161/jaha.120.016812 · Cited by 29 · see citing works
Self-Controlled Case Series Studies: A Modelling Guide with R
Farrington, P., Whitaker, H., & Ghebremichael‐Weldeselassie, Y. (2018) · Open Research Online (The Open University) · Cited by 28 · see citing works
Self-citationThakkar, S. J., Arora, S., Kumar, A., et al. (2020) · medRxiv · doi:10.1101/2020.08.09.20171330 · Cited by 22 · see citing works
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Attributed causes of excess mortality during the COVID-19 pandemic in a south Indian city
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Evans, M., Husain, M., Srivastava, A., Mangla, K. K., Kuhlman, A. B., & Lingvay, I. (2024) · Advances in Therapy · doi:10.1007/s12325-023-02750-4 · Cited by 13 · see citing works
- Authors
- Katsoularis, I., Fonseca-Rodríguez, O., Farrington, P., Lindmark, K., & Fors Connolly, A.-M.
- Affiliations
- Umeå University (SE)
- The Open University (GB)
- Venue
- The Lancet
- Publisher
- Elsevier BV
- Published
- 2021-08
- Volume
- 398
- Issue
- 10300
- Pages
- 599-607
- ISSN
- 0099-5355 (ISSN-L)
- 0140-6736
- PMC
- PMC8321431
- OpenAlex
- W3185635616
- Cited by
- 582
- References
- 30
- Citations by year
- 2026: 34 · 2025: 63 · 2024: 79 · 2023: 131 · 2022: 251 · 2021: 22 · 2012: 1
- FWCI
- 38.13
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- The Lancet (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Open Research Online - ORO (The Open University) (submittedVersion)
- Funders
- Region Vasterbotten
- Topics
- Health Sciences › Medicine › Infectious Diseases › COVID-19 Clinical Research Studies
- Health Sciences › Medicine › Neurology › Long-Term Effects of COVID-19
- Health Sciences › Medicine › Oncology › COVID-19 and healthcare impacts
- Keywords
- acute myocardial infarction, ischemic stroke, cardiovascular complications, SARS-CoV-2, incidence rate ratio, hospitalization, Sweden, self-controlled case series, matched cohort, cause of death register, cancer registry, cardiovascular risk factors, comorbidities, sex differences, age differences
- MeSH terms
- Ischemic Stroke, COVID-19, SARS-CoV-2, Adult, Female, Humans, Male, Middle Aged, Myocardial Infarction, Registries, Risk Factors, Sweden, Incidence, Risk Assessment, Pandemics
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