| Literature DB >> 31364527 |
I Ben Fraj1, M Zghal1, M Hsairi2, A Kechrid1, H Smaoui1.
Abstract
Pertussis remains a public health concern in most countries. This cross-sectional study aims to investigate the distribution of pertussis toxin antibodies (anti-PT IgG) in Tunisian children and adolescents aged 3-18 years, to define optimal age for booster vaccination. Anti-PT IgG concentrations of enrolled participants were measured using commercial enzyme-linked immunosorbent assay. Concentrations were classified as: indicative of current/recent infection if ⩾100 IU/ml, indicative of recent exposure to Bordetella pertussis within the last year if 40-100 IU/ml and less likely revealing a recent exposure to B. pertussis if <40 IU/ml. Between March and June 2018, a total of 304 participants (mean age: 9.3 years) were included in this study. Overall, 12.8% (95% confidence interval (CI) 9.1%-16.6%) were seropositive (IgG levels ⩾40 IU/ml). Among them, 14.7% (95% CI 2.3%-23.3%) had levels indicative of a current/recent infection. The multivariate Poisson regression analysis suggested associations between female gender, as well as age group 13-18 years and 3-5 years and higher anti-PT IgG concentrations. Our results are consistent with the notion that vaccine-induced immunity decline, as well as circulation of pertussis among school children and adolescents enables them to be reservoirs of infection and disease transmission to vulnerable infants. Booster dose of acellular pertussis vaccine for school entrants is therefore recommended.Entities:
Keywords: Adolescents; Tunisia; children; pertussis; seroprevalence
Mesh:
Substances:
Year: 2019 PMID: 31364527 PMCID: PMC6536764 DOI: 10.1017/S0950268819000840
Source DB: PubMed Journal: Epidemiol Infect ISSN: 0950-2688 Impact factor: 2.451
Fig. 1.Frequency of anti-PT IgG levels in different age groups.
Association between demographic factors and seropositivity: univariate and multivariate analysis
| Variables | Univariate analysis | Multivariate analysis | ||||
|---|---|---|---|---|---|---|
| OR | 95% CI of OR | OR | 95% CI of OR | |||
| Gender | ||||||
| Male | 1 | – | – | 1 | – | – |
| Female | 0.888 | 0.453–1.739 | 0.7282 | 0.876 | 0.439–1.750 | 0.7077 |
| Age category | ||||||
| 13–18 years | 1 | – | – | 1 | – | – |
| 3–5 years | 1.988 | 0.748–5.289 | 0.1685 | 2.314 | 0.828–6.467 | 0.1096 |
| 6–12 years | 0.820 | 0.341–1.977 | 0.6591 | 0.870 | 0.356–2.124 | 0.7593 |
| History of prolonged cough | 1.059 | 0.518–2.162 | 0.8753 | 0.975 | 0.465–2.043 | 0.9457 |
| Existence of sibling ⩽5 years | 0.794 | 0.348–1.814 | 0.5843 | 0.692 | 0.288–1.663 | 0.4101 |
Fig. 2.Distribution of anti-PT IgG levels according to age.
Arithmetic and geometric anti-PT IgG titre means according to gender and age groups
| Variable | Number | Arithmetic titres (IU/ml) | Geometric titres (IU/ml) | ||||
|---|---|---|---|---|---|---|---|
| Mean | Std | Median | Mean | Std | Median | ||
| Gender | |||||||
| Male | 148 | 18.1 | 27.9 | 9.0 | 9.0 | 3.3 | 8.2 |
| Female | 156 | 17.1 | 26.6 | 7.0 | 8.2 | 3.3 | 6.7 |
| 0.75 | 0.54 | ||||||
| Age groups | |||||||
| 3–5 years | 55 | 21.8 | 26.2 | 11.0 | 11.0 | 3.3 | 11.0 |
| 6–12 years | 184 | 15.4 | 24.9 | 7.0 | 7.4 | 3.0 | 6.7 |
| 13–18 years | 65 | 20.3 | 33.4 | 7.0 | 9.0 | 3.3 | 6.7 |
| 0.21 | 0.15 | ||||||
| Total | 304 | 17.6 | 27.2 | 8.0 | 8.2 | 3.3 | 8.2 |
Factors associated with changes in anti-PT IgG titres during the outbreak – Poisson regression model
| Factors | Coefficient (95% CI) | |
|---|---|---|
| Female | 0.0893 (0.0424–0.0063) | <0.0001 |
| Age category 3–5 years | 0.3859 (0.2807–0.4912) | <0.0001 |
| Age category 13–18 years | 0.2092 (0.1084–0.3099) | <0.0001 |
| Delay | 0.0027 (−0.0006 to 0.0061) | 0.1088 |
| Prolonged cough | 0.0718 (−0.0155 to 0.1591) | 0.1069 |
| Sibling ⩽5 years | 0.0203 (−0.0731 to 0.1137) | 0.6703 |
Patients investigated before the starting of outbreak were excluded.
Age group 6–12 years and masculine gender have been considered as reference categories for comparison.
Time between patients' investigation and outbreak starting.
Stratified analysis of changes in anti-PT IgG titres during the outbreak and time between patients' investigation and outbreak starting – Poisson regression model
| Factors | Coefficient (95% CI) | ||
|---|---|---|---|
| Delay | Age group 3–5 years | 0.0168 (0.0108–0.0227) | <0.0001 |
| Age group 6–12 years | 0.0026 (−0.0024 to 0.0076) | 0.3149 | |
| Age group 13–18 years | −0.0143 (−0.0218 to −0.0069) | 0.0002 |
Delay = time between patients' investigation and outbreak starting.