1 Department of Clinical Epidemiology, Aarhus University Hospital, 8000 Aarhus C, Denmark
2 National Centre for Register-based Research, University of Aarhus, 8000 Aarhus C, Denmark
3 Biometry Research Unit, Foulum Research Centre, Denmark
4 Department of Clinical Microbiology, Aalborg Hospital, 9000 Aalborg, Denmark
Correspondence: Professor Henrik Toft Sørensen, Department of Clinical Epidemiology, Aarhus University Hospital, Vennelyst Boulevard 6, Building 260, DK-8000 Aarhus C, Denmark. E-mail: hts{at}soci.au.dk
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Abstract |
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Methods We linked the Danish nationwide National Registry of Patients, the Birth Registry, and social registries to obtain data on fetal growth and social factors on 1921 cases of meningococcal disease hospitalized between 1 January, 1980 and 31 December, 1999 (median age 31 months, interquartiles 1365 months) and 37 451 population controls. The impact of maternal smoking was examined in a subsample of 462 cases and 9240 controls born after 1990, when data on smoking became available in the Birth Registry.
Results The adjusted odds ratios (OR) of meningococcal disease associated with low birthweight (<2500 g) varied between 1.6 (95% CI: 1.1, 2.3) in infants <12 months to 1.5 (95% CI: 1.0, 2.3) in children >60 months of age at hospitalization for meningococcal disease. Premature children had an increased risk of meningococcal disease during the first year of life only (adjusted OR = 1.3, 95% CI: 1.1, 1.9). The effect of low birthweight was very similar among mature and premature children. The adjusted OR for maternal smoking was 1.8 (95% CI: 1.4, 2.2).
Conclusions Low birthweight is associated with an increased risk of meningococcal disease throughout childhood, while an effect of prematurity persists only for 12 months. Maternal prenatal smoking was associated with the risk of meningococcal disease.
Accepted 16 February 2004
Meningococcal disease remains a leading cause of meningitis and septicaemia, particularly in infants, who do not initially produce protective antibodies.1,2 Although the incidence of meningococcal disease decreases after infancy, a subsequent increase is seen during adolescence and early adulthood.3 Invasive disease develops only in a minority colonized with Neisseria meningitidis.3 The mechanisms underlying these epidemiological observations are not clear. Immunity against meningococcal disease is induced by meningoccocal colonization, and cross-reacting antibodies probably play a protective role. Allotypes of mannose binding lectin and complement factor deficiencies constitute risks of meningococcal disease, but these can explain only an uncertain proportion of clinical cases.4
There is increasing evidence that the prenatal and early postnatal periods are important for the development of susceptibility to cardiovascular diseases, diabetes, and cancer.5 Although there are several possible explanations for these associations, particular attention has been given to the programming hypothesis, which postulates that impaired fetal growth may permanently alter organ function.6
There is some evidence that the immune system may be subjected to programming as well. In Gambia, the season of birth has been strongly linked to infectious disease mortality even after the age of 15.7 Prematurity and reduced birth length were reported to be associated with hospitalization due to infectious disease in Danish children up to 12 years of age.8 Maternal smoking is an important determinant of impaired fetal growth, but the same study showed that maternal smoking during pregnancy was associated with a higher risk of hospitalization with infectious diseases, independent of foetal growth indicators.9 To assess whether childhood meningococcal disease has foetal determinants, we determined the risk using population-based data from the Danish National Registry of Patients, the Danish Civil Registration System, the Birth Registry, and social registries.
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Methods |
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Cases
We identified patients hospitalized with invasive meningococcal disease by searching in the Danish National Registry of Patients. This registry records 99.9% of all discharges from Danish non-psychiatric acute care hospitals.10 Collected data include the civil registry number, dates of admission and discharge, and up to 20 discharge diagnoses, classified according to the Danish version of the International Classification of Diseases, Eighth Revision (ICD-8) from 1977 to 1993, and the International Classification of Diseases, Tenth Revision (ICD-10) from 1994.10 We included everyone born between 1 January 1980 and 31 December 1996 and listed in the Danish National Registry of Patients from 1980 to 31 December 1999 with a discharge diagnosis of meningococcal disease (ICD-8 codes 036.09, 036.10, 036.11, 036.12, 036.18, 036.19, 036.89, and 036.99 before 1993, and ICD-10 codes A39.0, A39.1, A39.2, A39.3, A39.4, A39.5, A39.8, and A39.9) aged under 18 years at the discharge date.
Controls
All Danish citizens have been registered since 1968 in the Danish Civil Registration System. All births, deaths, immigrations, and emigrations are registered here under the civil registry number unique to every Danish citizen since 1968. From this registry, we selected about 20 controls per case with the same birth month, gender, and year as the cases, who were alive and living in Denmark at the time of the hospitalization for meningococcal disease and who had not been hospitalized before with a diagnosis of meningococcal disease.
We selected this number of controls in order to have a sufficient number of observations in all categories.
Exposure data
We linked the data to the Danish Birth Registry, which contains information on all births in Denmark after 1972 by means of the civil registry number.11 Data on all births are recorded by the midwives and doctors attending deliveries. The main variables in the registry are birthweight, gestational age, birth order, and maternal age. Data about maternal smoking at the first antenatal visit have been available since 1991. From the administrative social registries (House Registry, Tax Registry) in Statistics Denmark, and by means of the civil registry number, we retrieved family data on crowding (< or >40 m2 per person in the residence), and household income per capita in the family, since these factors have been associated with meningococcal disease in other studies.3,1214
Statistical analysis
We used conditional logistic regression to estimate odds ratios (OR) and 95% Wald CI for estimating meningococcal disease in relation to birthweight and prematurity after adjustment for maternal age, birth order, per capita income, crowding, and calendar year of hospitalization. In the subanalysis with a focus on maternal smoking, data on smoking recorded at the first antenatal visit were included in the models, with non-maternal smoking as the reference group. We used the likelihood ratio test to evaluate the homogeneity. The analyses were performed with SAS 8.01.
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Discussion |
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The biological mechanisms behind the observations are not clear. One possibility is that programming of the immune system may play a role in modifying the risk of meningococcal disease. The associations with reduced fetal growth were not explained by the effect of gestational age. Both pre- and postnatal maternal lifestyle may also have some impact on the risk, since it has recently been shown that maternal prenatal lifestyle factors are associated with hospitalization for infectious disease after adjustment for fetal growth indicators.8,9 Prenatal undernutrition has been linked to cell-mediated immunity, which seems to play an important role in protecting against meningococcal disease,15 involution of thymus, and antibody response to vaccination.1619 It is well known that humoral immunity, and some genetic immune defects are important factors for susceptibility to meningococcal disease.3 For example, variants of the gene for mannose-binding lectin seem to have an impact on susceptibility to meningococcal disease.20 Furthermore, mannose-binding lectin insufficiency plays an important role in the host defence against acute respiratory tract infection during the period from 6 to 17 months.21
The strengths of our study include the complete follow-up, and detailed adjustment for social confounders at family level, and data on maternal smoking. In spite of its large size, some risk estimates were imprecise. Furthermore, there was independent classification of both exposure and outcome data from a nationwide uniformly organized health care system, a feature that allowed a population-based design. However, it is a well-known fact that discharge diagnoses are not entirely accurate.22 Meningococcal disease is registered with high validity.23 However, cases registered with meningococcal disease may have been misclassified in 5 to 10% of the cases listed in the Danish Registry of Patients. This lack of specificity may have led us to underestimate the risk of meningococcal disease associated with low birthweight and prematurity. The data in the Birth Registry24 have proven to be of high quality, and major confounding factors were accounted for in the analyses. However, we lacked data on postnatal growth.
We have confirmed a recent finding from a retrospective cohort study from the US, which states that smoking during pregnancy is a risk factor for invasive meningococcal disease.25 We were unable to separate a prenatal from a passive smoking effect in late childhood. Both smoking and passive smoking have been reported as risk factors for meningococcal disease in some studies.1115,26,27 However, there are some indications that the influence of maternal smoking on admission for infections is mainly through a prenatal effect.28
In summary, we found that low birthweight has long-term consequences for susceptibility to meningococcal disease in childhood and early adulthood, and that maternal smoking is a risk factor for meningococcal disease.
KEY MESSAGES
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