The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Comorbidities, multimorbidity and COVID-19
Open accessAbstract
The influence of comorbidities on COVID-19 outcomes has been recognized since the earliest days of the pandemic. But establishing causality and determining underlying mechanisms and clinical implications has been challenging—owing to the multitude of confounding factors and patient variability. Several distinct pathological mechanisms, not active in every patient, determine health outcomes in the three different phases of COVID-19—from the initial viral replication phase to inflammatory lung injury and post-acute sequelae. Specific comorbidities (and overall multimorbidity) can either exacerbate these pathological mechanisms or reduce the patient’s tolerance to organ injury. In this Review, we consider the impact of specific comorbidities, and overall multimorbidity, on the three mechanistically distinct phases of COVID-19, and we discuss the utility of host genetics as a route to causal inference by eliminating many sources of confounding. Continued research into the mechanisms of disease-state interactions will be crucial to inform stratification of therapeutic approaches and improve outcomes for patients. This Review discusses the effect of comorbidities and multimorbidity on the three mechanistically distinct phases of COVID-19, evaluating the evidence in the context of confounding factors and our evolving understanding of the disease.
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Cites
Clinical characteristics of coronavirus disease 2019 in China
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Factors associated with COVID-19-related death using OpenSAFELY
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Self-citationHigh-dimensional characterization of post-acute sequelae of COVID-19
Al-Aly, Z., Xie, Y., & Bowe, B. (2021) · Nature · doi:10.1038/s41586-021-03553-9 · Cited by 1,518
Syndemics and the biosocial conception of health
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Offline: COVID-19 is not a pandemic
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Cited by
GWAS and meta-analysis identifies 49 genetic variants underlying critical COVID-19
Pairo-Castineira, E., Rawlik, K., Bretherick, A. D., Qi, T., Wu, Y., Nassiri, I., McConkey, G. A., Zechner, M., Klaric, L., Griffiths, F., et al. (2023) · Nature · doi:10.1038/s41586-023-06034-3 · Cited by 225
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Metadata
- Authors
- Russell, C. D., Lone, N. I., & Baillie, J. K.
- Venue
- Nature Medicine
- Published
- 2023-02
- Volume
- 29
- Issue
- 2
- Pages
- 334-343
- ISSN
- 1078-8956 (ISSN-L)
- 1546-170X
- OpenAlex
- W4321076741
- Cited by
- 368
- References
- 13
- FWCI
- 68.79
- Type
- journal article
- Language
- en
- Open access
- hybrid
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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.
