It appears you don't have support to open PDFs in this web browser. To view this file, Open with your PDF reader
Abstract
Expansion of the SARS-CoV-2 BA.4 and BA.5 Omicron subvariants in populations with prevalent immunity from prior infection and vaccination, and associated burden of severe COVID-19, has raised concerns about epidemiologic characteristics of these lineages including their association with immune escape or severe clinical outcomes. Here we show that BA.4/BA.5 cases in a large US healthcare system had at least 55% (95% confidence interval: 43–69%) higher adjusted odds of prior documented infection than time-matched BA.2 cases, as well as 15% (9–21%) and 38% (27–49%) higher adjusted odds of having received 3 and ≥4 COVID-19 vaccine doses, respectively. However, after adjusting for differences in epidemiologic characteristics among cases with each lineage, BA.4/BA.5 infection was not associated with differential risk of emergency department presentation, hospital admission, or intensive care unit admission following an initial outpatient diagnosis. This finding held in sensitivity analyses correcting for potential exposure misclassification resulting from unascertained prior infections. Our results demonstrate that the reduced severity associated with prior (BA.1 and BA.2) Omicron lineages, relative to the Delta variant, has persisted with BA.4/BA.5, despite the association of BA.4/BA.5 with increased risk of breakthrough infection among previously vaccinated or infected individuals.
Continuous monitoring of SARS-CoV-2 variant properties is important for public health planning. Here, the authors use data from the United States and show that Omicron BA.4/5 subvariants, which became dominant in mid-2022, have stronger immune escape properties, but are no more severe, than the previously dominant BA.2.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
Details



1 University of California, Berkeley, Division of Epidemiology, School of Public Health, Berkeley, USA (GRID:grid.47840.3f) (ISNI:0000 0001 2181 7878); University of California, Berkeley, Division of Infectious Diseases & Vaccinology, School of Public Health, Berkeley, USA (GRID:grid.47840.3f) (ISNI:0000 0001 2181 7878); University of California, Berkeley, Center for Computational Biology, College of Engineering, Berkeley, USA (GRID:grid.47840.3f) (ISNI:0000 0001 2181 7878)
2 Kaiser Permanente Southern California, Department of Research & Evaluation, Pasadena, USA (GRID:grid.280062.e) (ISNI:0000 0000 9957 7758)
3 Kaiser Permanente Southern California, Department of Research & Evaluation, Pasadena, USA (GRID:grid.280062.e) (ISNI:0000 0000 9957 7758); Kaiser Permanente Bernard J. Tyson School of Medicine, Department of Health Systems Science, Pasadena, USA (GRID:grid.19006.3e) (ISNI:0000 0000 9632 6718)