Incidence and Predictors of Breakthrough and Severe Breakthrough Infections of SARS-CoV-2 After Primary Series Vaccination in Adults: A Population-Based Survey of 22 575 Participants

Author:

DeSantis Stacia M1,Yaseen Ashraf1,Hao Tianyao1,León-Novelo Luis1,Talebi Yashar1,Valerio-Shewmaker Melissa A2,Pinzon Gomez Cesar L1,Messiah Sarah E34,Kohl Harold W56,Kelder Steven H5,Ross Jessica A1,Padilla Lindsay N1,Silberman Mark7,Tuzo Samantha7,Lakey David89,Shuford Jennifer A10,Pont Stephen J10,Boerwinkle Eric1,Swartz Michael D1

Affiliation:

1. The University of Texas Health Science Center at Houston, School of Public Health in Houston , Houston, Texas , USA

2. The University of Texas Health Science Center at Houston, School of Public Health in Brownsville , Brownsville, Texas , USA

3. The University of Texas Health Science Center at Houston, School of Public Health in Dallas , Dallas, Texas , USA

4. Center for Pediatric Population Health, University of Texas Health School of Public Health , Dallas, Texas , USA

5. The University of Texas Health Science Center at Houston, School of Public Health in Austin , Austin, Texas , USA

6. Department of Kinesiology and Health Education, The University of Texas at Austin , Austin, Texas , USA

7. Clinical Pathology Laboratories , Austin, Texas , USA

8. Office of Health Affairs, The University of Texas System , Austin, Texas , USA

9. The University of Texas at Tyler Health Science Center , Tyler, Texas , USA

10. Texas Department of State Health Services , Austin, Texas , USA

Abstract

Abstract Background Breakthrough infections of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are well documented. The current study estimates breakthrough incidence across pandemic waves, and evaluates predictors of breakthrough and severe breakthrough infections (defined as those requiring hospitalization). Methods In total, 89 762 participants underwent longitudinal antibody surveillance. Incidence rates were calculated using total person-days contributed. Bias-corrected and age-adjusted logistic regression determined multivariable predictors of breakthrough and severe breakthrough infection, respectively. Results The incidence was 0.45 (95% confidence interval [CI], .38–.50) during pre-Delta, 2.80 (95% CI, 2.25–3.14) during Delta, and 11.2 (95% CI, 8.80–12.95) during Omicron, per 10 000 person-days. Factors associated with elevated odds of breakthrough included Hispanic ethnicity (vs non-Hispanic white, OR = 1.243; 95% CI, 1.073–1.441), larger household size (OR = 1.251 [95% CI, 1.048–1.494] for 3–5 vs 1 and OR = 1.726 [95% CI, 1.317–2.262] for more than 5 vs 1 person), rural versus urban living (OR = 1.383; 95% CI, 1.122–1.704), receiving Pfizer or Johnson & Johnson versus Moderna, and multiple comorbidities. Of the 1700 breakthrough infections, 1665 reported on severity; 112 (6.73%) were severe. Higher body mass index, Hispanic ethnicity, vaccine type, asthma, and hypertension predicted severe breakthroughs. Conclusions Breakthrough infection was 4–25 times more common during the Omicron-dominant wave versus earlier waves. Higher burden of severe breakthrough infections was identified in subgroups.

Funder

Texas Department of State Health Services

Publisher

Oxford University Press (OUP)

Subject

Infectious Diseases,Immunology and Allergy

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