The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
Post-covid syndrome in individuals admitted to hospital with covid-19: retrospective cohort study
Open accessAbstract
Objective: To quantify rates of organ specific dysfunction in individuals with covid-19 after discharge from hospital compared with a matched control group from the general population. Design: Retrospective cohort study. Setting: NHS hospitals in England. Participants: 47 780 individuals (mean age 65, 55% men) in hospital with covid-19 and discharged alive by 31 August 2020, exactly matched to controls from a pool of about 50 million people in England for personal and clinical characteristics from 10 years of electronic health records. Main outcome measures: Rates of hospital readmission (or any admission for controls), all cause mortality, and diagnoses of respiratory, cardiovascular, metabolic, kidney, and liver diseases until 30 September 2020. Variations in rate ratios by age, sex, and ethnicity. Results: Over a mean follow-up of 140 days, nearly a third of individuals who were discharged from hospital after acute covid-19 were readmitted (14 060 of 47 780) and more than 1 in 10 (5875) died after discharge, with these events occurring at rates four and eight times greater, respectively, than in the matched control group. Rates of respiratory disease (P<0.001), diabetes (P<0.001), and cardiovascular disease (P<0.001) were also significantly raised in patients with covid-19, with 770 (95% confidence interval 758 to 783), 127 (122 to 132), and 126 (121 to 131) diagnoses per 1000 person years, respectively. Rate ratios were greater for individuals aged less than 70 than for those aged 70 or older, and in ethnic minority groups compared with the white population, with the largest differences seen for respiratory disease (10.5 (95% confidence interval 9.7 to 11.4) for age less than 70 years v 4.6 (4.3 to 4.8) for age ≥70, and 11.4 (9.8 to 13.3) for non-white v 5.2 (5.0 to 5.5) for white individuals). Conclusions: Individuals discharged from hospital after covid-19 had increased rates of multiorgan dysfunction compared with the expected risk in the general population. The increase in risk was not confined to the elderly and was not uniform across ethnicities. The diagnosis, treatment, and prevention of post-covid syndrome requires integrated rather than organ or disease specific approaches, and urgent research is needed to establish the risk factors.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Austin, P. C. (2009) · Statistics in Medicine · doi:10.1002/sim.3697 · Cited by 6,758
Factors associated with COVID-19-related death using OpenSAFELY
Williamson, E. J., Walker, A. J., Bhaskaran, K., Bacon, S., Bates, C., Morton, C. E., Curtis, H. J., Mehrkar, A., Evans, D., Inglesby, P., et al. (2020) · Nature · doi:10.1038/s41586-020-2521-4 · Cited by 6,674
Causal Inference without Balance Checking: Coarsened Exact Matching
Iacus, S. M., King, G., & Porro, G. (2012) · Political Analysis · doi:10.1093/pan/mpr013 · Cited by 3,563
Puntmann, V. O., Carerj, M. L., Wieters, I., Fahim, M., Arendt, C., Hoffmann, J., Shchendrygina, A., Escher, F., Vasa-Nicotera, M., Zeiher, A. M., et al. (2020) · JAMA Cardiology · doi:10.1001/jamacardio.2020.3557 · Cited by 2,208
Management of post-acute covid-19 in primary care
Greenhalgh, T., Knight, M., A’Court, C., Buxton, M., & Husain, L. (2020) · BMJ · doi:10.1136/bmj.m3026 · Cited by 1,689
COVID‐19 patients' clinical characteristics, discharge rate, and fatality rate of meta‐analysis
Li, L., Huang, T., Wang, Y., Wang, Z., Liang, Y., Huang, T., Zhang, H., Sun, W., & Wang, Y. (2020) · Journal of Medical Virology · doi:10.1002/jmv.25757 · Cited by 1,487
National Institute for Health Research
Evans, R. (2014) · Nursing Standard · doi:10.7748/ns.28.49.32.s37 · Cited by 1,350
World Health Organization (2020) · Pediatria i Medycyna Rodzinna · doi:10.15557/pimr.2020.0003 · Cited by 1,329
COVID-19 rapid guideline: managing the long-term effects of COVID-19
Excellence, C. (2020) · Cited by 1,074
Characterising long COVID: a living systematic review
Michelen, M., Manoharan, L., Elkheir, N., Cheng, V., Dagens, A., Hastie, C., O'Hara, M., Suett, J., Dahmash, D., Bugaeva, P., et al. (2021) · BMJ Global Health · doi:10.1136/bmjgh-2021-005427 · Cited by 960
Cited by
Long-term cardiovascular outcomes of COVID-19
Xie, Y., Xu, E., Bowe, B., & Al-Aly, Z. (2022) · Nature Medicine · doi:10.1038/s41591-022-01689-3 · Cited by 2,029
Long COVID or post-COVID-19 syndrome: putative pathophysiology, risk factors, and treatments
Yong, S. J. (2021) · Infectious Diseases · doi:10.1080/23744235.2021.1924397 · Cited by 1,339
Chen, C., Haupert, S. R., Zimmermann, L., Shi, X., Fritsche, L. G., & Mukherjee, B. (2022) · The Journal of Infectious Diseases · doi:10.1093/infdis/jiac136 · Cited by 1,366
1-year outcomes in hospital survivors with COVID-19: a longitudinal cohort study.
Huang, L., Yao, Q., Gu, X., Wang, Q., Ren, L., Wang, Y., Hu, P., Guo, L., Liu, M., Xu, J., et al. (2021) · The Lancet · doi:10.1016/s0140-6736(21)01755-4 · Cited by 1,101
Long COVID after breakthrough SARS-CoV-2 infection
Al-Aly, Z., Bowe, B., & Xie, Y. (2022) · Nature Medicine · doi:10.1038/s41591-022-01840-0 · Cited by 866
Metadata
- Authors
- Ayoubkhani, D., Khunti, K., Nafilyan, V., Maddox, T., Humberstone, B., Diamond, I., & Banerjee, A.
- Venue
- BMJ
- Publisher
- BMJ
- Published
- 2021-03-31
- Volume
- 372
- Pages
- n693
- ISSN
- 1756-1833 (ISSN-L)
- OpenAlex
- W3149633446
- Cited by
- 832
- References
- 33
- FWCI
- 75.83
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Post-covid syndrome in individuals admitted to hospital with covid-19: retrospective cohort study. https://app.cochat.ai/papers/10.1136/bmj.n693
- The paper
- Ayoubkhani, D., Khunti, K., Nafilyan, V., Maddox, T., Humberstone, B., Diamond, I., & Banerjee, A. (2021). Post-covid syndrome in individuals admitted to hospital with covid-19: retrospective cohort study. BMJ. https://doi.org/10.1136/bmj.n693
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.