| Literature DB >> 25903659 |
H Keipp Talbot1, Laura A Coleman2, Yuwei Zhu3, Sarah Spencer4, Mark Thompson5, Po-Yung Cheng6, Maria E Sundaram7, Edward A Belongia8, Marie R Griffin9.
Abstract
BACKGROUND: Little is known about factors associated with maintenance of hemagglutinin inhibition (HAI) antibodies after influenza vaccination in older adults.Entities:
Mesh:
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Year: 2015 PMID: 25903659 PMCID: PMC4415221 DOI: 10.1186/s12879-015-0926-8
Source DB: PubMed Journal: BMC Infect Dis ISSN: 1471-2334 Impact factor: 3.090
Proportion of subjects with HAI ≥:1:40 at baseline (S1), 28 days post-vaccination (S2), and after influenza season (S3) and with seroconversion at S2, by influenza strain
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| Baseline (S1) | 9% (44) | 48% (235) | 43% (214) |
| 28 days post-vaccination (S2) | 26% (126) | 82% (407) | 72% (354) |
| After influenza season (S3) | 9% (46) | 59% (289) | 53% (263) |
| Seroconversion | |||
| 28 days post-vaccination (S2) | 12% (60) | 45% (222) | 28% (138) |
Enrolled subjects with post-vaccination (S2) titers ≥1:40
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| Age (Years) | 62 (57,74) | 65 (58,75) | 66 (58,76) |
| Sex (Female) | 71% (90) | 64% (260) | 61% (215) |
| Race (White) | 96% (121) | 96% (390) | 96% (341) |
| Recent illness or stressor (Yes) | 32% (40) | 35% (143) | 39% (139) |
| Stress (Yes) | 10% (12) | 8% (34) | 9% (32) |
| Time from S1 to S3 (days) (mean, IQR) | 257 (251,266) | 257 (250,264) | 257 (251, 264) |
Baseline characteristics associated with seroprotection post-vaccination (S2) versus not achieving seroprotection
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| Sex (Female vs Male) | 3.5 | <0.01 | 2.0 | 0.02 | 1.2 | 0.56 |
| High risk medical condition (Yes vs No) | 1.2 | 0.60 | 0.8 | 0.53 | 1.1 | 0.74 |
| Recent illness or stressor (Yes vs No) | 0.5 | 0.71 | 0.8 | 0.58 | 0.8 | 0.60 |
| Site (Vanderbilt vs Marshfield) | 0.4 | 0.01 | 1.0 | 0.96 | 0.5 | 0.01 |
*Odds ratios all adjusted for variables in table plus age, BMI, and transformed S1 titer using multivariable logistic regression.
Figure 1Predicted probability of seroprotection at S2 for each vaccine strain by age at enrollment and pre-vaccination HAI titer. Each graph shows the probability of seroprotection predicted by logistic regression models for H1N1 (first column), H3N2 (second column) and B (third column) by the age at enrollment (first row) or the pre-vaccination HAI titer (second row) 4 weeks post-vaccination.
Baseline characteristics associated with maintaining versus not maintaining HAI ≥1:40 at S3
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| Sex (Female) | 1.2 | 0.77 | 1.1 | 0.70 | 0.8 | 0.46 |
| High risk (Yes) | 1.4 | 0.57 | 1.7 | 0.12 | 0.9 | 0.70 |
| Recent Illness or stressor (Yes) | 3.3 | 0.16 | 1.6 | 0.37 | 10.6 | 0.003 |
| Site (Vanderbilt vs Marshfield) | 2.3 | 0.11 | 1.6 | 0.14 | 1.4 | 0.30 |
*Odds ratios all adjusted for variables in table plus age, BMI, days between S3 and S1 and transformed S1titer using multivariable logistic regression.
Figure 2Predicted probability of seroprotection at S3 for each vaccine strain by age at enrollment and pre-vaccination HAI titer. Each graph shows the predicted probability of seroprotection for H1N1 (first column, H3N2 (second column) and B (third column) by the time from vaccination (first row) or the pre-vaccination HAI titer (second row) after influenza season for those with an HAI titer ≥40 after immunization (H1N1, n = 126; H3N2, n = 407; and B: n = 354).