| Literature DB >> 35613792 |
Susan Cheng1, Kimia Sobhani2, Joseph E Ebinger3, Sandy Joung3, Yunxian Liu3, Min Wu3, Brittany Weber4, Brian Claggett4, Patrick G Botting3, Nancy Sun3, Matthew Driver3, Yu Hung Kao3, Briana Khuu3, Timothy Wynter3, Trevor-Trung Nguyen3, Mona Alotaibi5, John C Prostko6, Edwin C Frias6, James L Stewart6, Helen S Goodridge7, Peter Chen7, Stanley C Jordan8, Mohit Jain9, Sonia Sharma10, Justyna Fert-Bober3, Jennifer E Van Eyk3,11, Margo B Minissian3,12, Moshe Arditi13, Gil Y Melmed14, Jonathan G Braun14,2, Dermot P B McGovern14.
Abstract
OBJECTIVES: We sought to understand the demographic and clinical factors associated with variations in longitudinal antibody response following completion of two-dose regiment of BNT162b2 vaccination.Entities:
Keywords: COVID-19; hypertension; infectious diseases
Mesh:
Substances:
Year: 2022 PMID: 35613792 PMCID: PMC9130668 DOI: 10.1136/bmjopen-2021-059994
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 3.006
Figure 1Cohort development flow diagram.
Study sample characteristics
| Total sample | No prior | Prior | P value* | |
| n | 843 | 784 | 59 | |
| Age in years, median (IQR) | 41.66 (35.19, 52.80) | 41.89 (35.25, 53.00) | 38.72 (34.93, 49.31) | 0.169 |
| Age in years (range) | 20.37–87.26 | 20.37–87.26 | 23.52–76.87 | |
| Male sex, n (%) | 256 (30.4) | 239 (30.5) | 17 (28.8) | 0.903 |
| Non-white race, n (%) | 405 (48.0) | 372 (47.4) | 33 (55.9) | 0.262 |
| Hispanic ethnicity, n (%) | 86 (10.2) | 73 (9.3) | 13 (22.0) | 0.004 |
| Obesity, n (%) | 103 (12.2) | 92 (11.7) | 11 (18.6) | 0.175 |
| Hypertension, n (%) | 128 (15.2) | 122 (15.6) | 6 (10.2) | 0.355 |
| Charlson Comorbidity Index, median (IQR)† | 0.00 (0.00, 1.00) | 0.00 (0.00, 1.00) | 0.00 (0.00, 1.00) | 0.572 |
| Work environment‡ | ||||
| ICU, COVID-19 unit | 135 (16.1) | 126 (16.2) | 9 (15.3) | 1.00 |
| ICU, non-COVID-19 unit | 133 (15.9) | 129 (16.5) | 4 (6.8) | 0.073 |
| Ward, COVID-19 unit | 160 (19.1) | 141 (18.1) | 19 (32.2) | 0.013 |
| Ward, non-COVID-19 unit | 204 (24.3) | 193 (24.7) | 11 (18.6) | 0.37 |
| Emergency department /urgent care | 98 (11.7) | 94 (12.1) | 4 (6.8) | 0.315 |
| Outpatient clinic | 215 (25.6) | 206 (26.4) | 9 (15.3) | 0.082 |
| Office | 129 (15.4) | 119 (15.3) | 10 (16.9) | 0.873 |
| Work from home | 61 (7.3) | 57 (7.3) | 4 (6.8) | 1.00 |
| Other | 185 (22.1) | 177 (22.7) | 8 (13.6) | 0.142 |
| Unknown | 74 (8.8) | 71 (9.1) | 3 (5.1) | 0.423 |
*P value comparing those with versus without prior SARS-CoV-2 infection.
†The Charlson Comorbidity Index weights the clinical conditions into a single score to predict 10-year survival: age, myocardial infarction, heart failure, peripheral vascular disease, stroke, dementia, chronic obstructive pulmonary disease, connective tissue disease, peptic ulcer disease, liver disease, diabetes mellitus, hemiplegia, chronic kidney disease, solid tumour, leukaemia, lymphoma and AIDS.
‡Participant-provided work environment. Participants could select multiple environments if they worked in more than one location.
ICU, intensive care unit.
Figure 2Longitudinal trajectory of IgG-S antibody levels following completed BNT162b2 vaccination. Multivariable-adjusted longitudinal trajectories are shown for individuals with a history of prior COVID-19 infection (orange line) and for those without prior COVID-19 infection (green line). Longitudinal estimates with 95% confidence limits (shaded areas) are adjusted for age, sex and hypertension.
Clinical and demographic correlates of longitudinal anti-spike IgG antibody response following complete initial mRNA vaccination
| Beta* | SE | P value | Partial R2 | |
| Prior SARS-CoV-2 infection | 1.74 | 0.11 | <0.001 | 0.134 |
| Age (year) | −0.01 | 0.00 | <0.001 | 0.016 |
| Male sex | −0.27 | 0.06 | <0.001 | 0.013 |
| Non-white race | −0.00 | 0.06 | 0.99 | 0.000 |
| Hispanic ethnicity | 0.02 | 0.10 | 0.80 | 0.000 |
| Obesity | 0.03 | 0.09 | 0.77 | 0.000 |
| Hypertension | −0.17 | 0.08 | 0.041 | 0.003 |
| Charlson Comorbidity Index | −0.02 | 0.03 | 0.56 | 0.000 |
*Beta values represent increase in 1 SD of log(10)IgG-S level per presence (vs absence) of a categorical variable or per unit increment of continuous variable.
Figure 3Longitudinal trajectory of IgG-S antibody levels following completed BNT162b2 vaccination by prior infection status and age. Multivariable-adjusted longitudinal trajectories are shown for individuals with a history of prior COVID-19 infection and for those without prior COVID-19 infection, including an interaction for age (above vs below median cohort age). Longitudinal estimates with 95% confidence limits (shaded areas) are adjusted for sex and hypertension.
Figure 4Longitudinal trajectory of IgG-S antibody levels following completed BNT162b2 vaccination by prior infection status and sex. Multivariable-adjusted longitudinal trajectories are shown for individuals with a history of prior COVID-19 infection and for those without prior COVID-19 infection, including an interaction for sex. Longitudinal estimates with 95% confidence limits (shaded areas) are adjusted for age and hypertension.
Figure 5Longitudinal trajectory of IgG-S antibody levels following completed BNT162b2 vaccination by prior infection and hypertension status. Multivariable-adjusted longitudinal trajectories are shown for individuals with a history of prior COVID-19 infection and for those without prior COVID-19 infection, including an interaction for sex. Longitudinal estimates with 95% confidence limits (shaded areas) are adjusted for age and sex.