Atopic Dermatitis Clinical Trial
Official title:
Timing of Vaccination With the Non-live DTaP-IPV-Hib Vaccine and Development of Atopic Dermatitis Before 1 Year of Age - a Danish Register Based Cohort Study
It has been found that the non-live vaccine against Diphtheria, Tetanus, and Pertussis (DTP)
in addition to its disease specific effects may have so called "non-specific effects" with
the potential to affect sensitivity towards vaccine unrelated pathogens, resulting in excess
mortality(Aaby, Kollmann, & Benn, 2014).
A recent study from Australia found that delayed vaccination with the first dose of
Diphtheria, Tetanus, and acellular Pertussis(DTaP)-containing vaccine is associated with
reduced risk of atopic dermatitis (aOR: 0.57; 95% CI: 0.34-0.97, P = 0.04) and reduced use
of medication against atopic dermatitis (aOR: 0.45; 95% CI: 0.24-0.83, P = 0.01)(Kiraly et
al., 2016).
This register based observational study aims to extend the existing knowledge on
non-specific effects of non-live vaccines by testing the above finding, that delayed
vaccination with Diphtheria, Tetanus, acellular Pertussis - Inactivated Polio vaccine -
Haemophilus influenzae type b (DTaP-IPV-Hib) is associated with lower risk of developing
atopic dermatitis before 1 year of age in the Danish birth cohorts from 1997-2012.
It has been found that the non-live vaccine against Diphtheria, Tetanus, and Pertussis (DTP)
in addition to its disease specific effects may have so called non-specific effects with the
potential to affect resistance towards vaccine unrelated pathogens, resulting in excess
mortality and morbidity(Aaby et al., 2014). These immunomodifying effects may affect
development of atopic dermatitis through increased immunological sensitivity(Nilsson,
Gruber, Granstrom, Bjorksten, & Kjellman, 1998). A recent study from Australia found that
delayed vaccination with the first dose of Diphtheria, Tetanus, and acellular
Pertussis(DTaP)-containing vaccine is associated with reduced eczema (aOR: 0.57; 95% CI:
0.34-0.97, P = 0.04) and reduced use of medication against atopic dermatitis (aOR: 0.45; 95%
CI: 0.24-0.83, P = 0.01)(Kiraly et al., 2016). The present study aims to test the above
finding and investigate the effect of timeliness of vaccination with DTaP-IPV-Hib (with or
without PCV) on development of atopic dermatitis before 1 year of age among Danish children
born between 1997 and 2012. From 1997 to 2012 children in Denmark were scheduled to receive
the 1st, 2nd, and 3rd dose of DTaP-IPV-Hib at 3, 5, and 12 months respectively.
Primary investigation:
Research question 1.a Is delayed vaccination with the first dose of DTaP-IPV-Hib
(vaccination at or after 4 months of age) associated with a reduced risk of development of
atopic dermatitis from 4 months and until but not including 12 months of age compared with
receiving the first dose of DTaP-IPV-Hib before 4 months of age?
Secondary investigations:
Research question 1.b Among children with a timely 1st dose of DTaP-IPV-Hib (vaccination
before 4 months of age), is delayed vaccination with the second dose of DTaP-IPV-Hib
(vaccination at or after 6 months of age) associated with a reduced risk of development of
atopic dermatitis from 6 months and until but not including 12 months of age compared with
receiving the second dose of DTaP-IPV-Hib before 6 months of age?
Research question 2. Is receipt of DTaP-IPV-Hib associated with development of atopic
dermatitis from 3 months and until but not including 8 months of age compared with being
unvaccinated?
Data assessment Information on development of atopic dermatitis and vaccination status is
assessed at baseline (which is 4 months of age (research question 1.a.),6 months of age
(research question 1.b.) and 3 months of age (research question 2.)) and through follow up
(until 1 year of age). Confounder information is assessed at 3 months of age for all
analyses.
Development of atopic dermatitis is assessed according to an algorithm described in detail
under "9. Outcome measures", which uses information on prescriptions and hospitalizations up
until one year after the last age of outcome assessment (1 year of age in this study) to
confirm a case. Children must therefore be alive and living in Denmark until 2 years of age
representative of age at end of follow-up plus 1 year.
The Danish national registers contains individual-level information on a broad range of
health and social factors. Every child born in Denmark receives a unique personal
identification number (ID) at birth, which follows the individual through life. Using the ID
it is possible to link information from the different registers at an individual level.
Confounders:
The investigators will seek to retain information on potential confounders from the Danish
registers. Potential confounders will be assessed at 3 months of age and included in the
adjusted analyses.
Information on sex, season of birth, death, emigration, parental identity, sibling's
identity and exact address will be obtained from the Danish Civil Registration System. The
investigators will use information on parental identity to link every child to its parents
and obtain information on parents' origin of birth, single parenthood and the number of
children in the household. The investigators will furthermore derive information on
population density based on information on the municipality in which the child lives.
Information on parental and sibling's identity will be used to link information on family
history of atopic dermatitis to the child. Atopic dermatitis is categorized according to the
algorithm described in detail under "9. Outcome measures".
The variables; caesarean section, preterm birth, birthweight, and maternal smoking during
pregnancy is obtained from the Danish Medical Birth Register, which contains information on
all live and stillbirths in Denmark. Antibiotic use is recorded in the Danish National
Prescription Register. Information on chronic disease is obtained from in the Danish
national patient registry. Household income is obtained from the Danish registers on
personal income and transfer payment.
Maternal highest education is obtained from the Danish education registers.
The dataset is expected to contain close to complete information on confounders. Hence, it
is expected that children with missing confounder information constitute an ignorable
proportion of the complete study population, wherefore the investigators aim to conduct
complete case analyses only.
Statistical model for research question 1.a +1.b; investigation of the effect of timing of
vaccination.
For investigation of the effect of timing of the first and second dose of DTaP-IPV-Hib with
or without PCV, a Binary regression model will be used to estimate the adjusted relative
risk of developing atopic dermatitis from baseline (age for categorized timely vaccination)
until one year of age, among delayed vaccinated compared to timely vaccinated children. The
analysis will include all abovementioned potential confounders. Absolute risk differences
will be reported if relevant.
Intended subgroup and sensitivity analysis for the primary investigation (research question
1.a)
The following presents a priory identified relevant subgroup and sensitivity analyses. If
relevant, additional analysis will be included with the aim to pursue potential tendencies
revealed in the data analysis.
1. Sex differential effect Data will be analyzed for effect modification by sex because of
evidence of sex-differential non-specific effects of vaccines (Aaby et al., 2014) and
also sex-differential atopic sensitization associated with delayed vaccination (Kiraly
et al., 2016).
2. Further subgroup analyses
- Effect modification by PCV vaccination. PCV was enrolled into the Danish
vaccination schedule during the years of this investigation. Hence, it will be
investigated if potential NSEs of DTaP-IPV-Hib vary according to receipt of PCV.
- Exploratory analysis of effect modification.
- Subgroup analysis, which only includes first born children; Parents of children
with older siblings may be more familiar with AD, which may result in a less
frequent health care seeking behavior. Parents of children with older siblings,
who have had AD themselves, may further have prescription medicines in the home
from treatment of prior cases of AD among the siblings. Hence, cases of AD
categorized based on disease specific prescriptions may be misclassified if the
parents do not get a new prescription for that child.
3. Sensitivity analyses
- Sensitivity analysis to investigate if the results are affected by inclusion of
children with no DTaP-IPV-Hib before 1 year of age.
- Investigation of reverse causation: A Cox regression will be conducted to
investigate if presence of atopic dermatitis is associated with subsequent delayed
vaccination.
- Inclusion of negative control outcome/exposure; In similar studies, it has been
suspected that there may be a risk of ascertainment bias, whereby parents of
children who are delayed vaccinated, represent parents with a general lower health
care seeking behavior, which could result in lower levels of AD diagnosis among
their children. In order to accommodate this potential unmeasured confounder, the
investigators will seek to identify a relevant negative control exposure or
outcome, which will help indicate the strength of a potential interference from
this unmeasured confounder.
Statistical model for investigation of research question 2; investigation of the effect of
being vaccinated with DTaP-IPV-Hib with or without PCV compared with being non-vaccinated.
For investigation of the effect of being vaccinated with DTaP-IPV-Hib compared with being
non-vaccinated a Cox proportional hazards regression with age as the underlying time will be
used to estimate the adjusted HR of developing atopic dermatitis among children vaccinated
with DTaP-IPV-Hib compared with unvaccinated children. Vaccination status will be assessed
from time of scheduled vaccination (3 months of age) and set as a time dependent variable
with the categories unvaccinated and vaccinated.
As vaccination status is included as a time dependent variable, the group of unvaccinated
children will inherently become smaller with time as they get vaccinated. In order to assure
sufficient group sizes, children will only be followed until 8 months of age.
The model will include all identified potential confounding factors listed above. All
co-variates will be included as fixed variables and assessed at baseline (3 months of age).
Proportional hazard assumption will be examined.
Sensitivity analysis for the Cox regression
- Delayed diagnosis; Atopic dermatitis does not become apparent until the child has
scratched the affected skin. Furthermore, it may take weeks to months before the parents
become aware that this is not something which is passing, and bring the child to a doctor.
Therefore, it is very likely that actual onset of AD is weeks/months prior to date of
diagnosis by the healthcare professionals or receipt of disease specific prescriptions. Due
to this delay, there is a risk of differential misclassification, whereby cases of AD may be
falsely ascribed to the vaccinated exposure group. A sensitivity analysis will account for
this delay by setting the date for onset of AD prior to onset according to the AD algorithm.
Primary health care facilities will be contacted in order to gain expert insight on
approximate delay from onset of symptoms to receipt of prescription medicines or referral to
a hospital.
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