Patterns of multimorbidity and risk of severe SARS-CoV-2 infection: an observational study in the U.K

Publication: BMC Infectious Diseases

Yogini V. Chudasama, Francesco Zaccardi, Clare L. Gillies, Cameron Razieh, Thomas Yates, David E. Kloecker, Alex V. Rowlands, Melanie J. Davies, Nazrul Islam, Samuel Seidu, Nita G. Forouhi & Kamlesh Khunti

4 September 2021


Summary

Pre-existing comorbidities (presence of one or more additional conditions usually occurring with a main health condition) have been linked to SARS-CoV-2 infection but evidence is sparse on the importance and pattern of multimorbidity (2 or more conditions) and severity of infection indicated by hospitalisation or mortality.

Researchers aimed to use a multimorbidity index developed specifically for COVID-19 to investigate the association between multimorbidity and risk of severe SARS-CoV-2 infection. The multimorbidity index may help identify individuals at higher risk for severe COVID-19 outcomes and provide guidance for tailoring effective treatment.

View publication

© Copyright - NIHR Cambridge Biomedical Research Centre 2025