Abstract
Objective
To estimate changes in the risk of autism and assess the relation of autism to the mumps, measles, and rubella (MMR) vaccine.
Design
Time trend analysis of data from the UK general practice research database (GPRD).
Setting
General practices in the United Kingdom.
Subjects
Children aged 12 years or younger diagnosed with autism 1988-99, with further analysis of boys aged 2 to 5 years born 1988-93.
Main outcome measures
Annual and age specific incidence for first recorded diagnoses of autism (that is, when the diagnosis of autism was first recorded) in the children aged 12 years or younger; annual, birth cohort specific risk of autism diagnosed in the 2 to 5 year old boys; coverage (prevalence) of MMR vaccination in the same birth cohorts.
Results
The incidence of newly diagnosed autism increased sevenfold, from 0.3 per 10 000 person years in 1988 to 2.1 per 10 000 person years in 1999. The peak incidence was among 3 and 4 year olds, and 83% (254/305) of cases were boys. In an annual birth cohort analysis of 114 boys born in 1988-93, the risk of autism in 2 to 5 year old boys increased nearly fourfold over time, from 8 (95% confidence interval 4 to 14) per 10 000 for boys born in 1988 to 29 (20 to 43) per 10 000 for boys born in 1993. For the same annual birth cohorts the prevalence of MMR vaccination was over 95%.
Conclusions
Because the incidence of autism among 2 to 5 year olds increased markedly among boys born in each year separately from 1988 to 1993 while MMR vaccine coverage was over 95% for successive annual birth cohorts, the data provide evidence that no correlation exists between the prevalence of MMR vaccination and the rapid increase in the risk of autism over time. The explanation for the marked increase in risk of the diagnosis of autism in the past decade remains uncertain.
Introduction
The possibility that the mumps, measles, and rubella (MMR) vaccine may be causally related to the risk of autism is currently causing substantial concern. This proposition originated primarily from a publication by Wakefield et al in 1998 that described 12 case reports of children who were diagnosed with ileal-lymphoid-nodular hyperplasia followed by behaviour disorders that were clinically diagnosed as representing autism.1 In eight of 12 children the behaviour disorder was “linked” in time with MMR vaccination by the parents or the child's physician.
In June 1999 Taylor et al published in the Lancet the results of a study in which they identified children diagnosed as having autism in the North East Thames region for birth cohorts from 1979 to 1992.2 They reported that the incidence of autism started to increase in children born in the late 1980s and increased dramatically in those born from 1989 to 1992. They also provided estimates of the coverage (prevalence) of MMR vaccination from 1987 to 1995, which rose to over 90% by 1988-9. They found no temporal association between MMR vaccination and the incidence of autism within one to two years of vaccination, and there was no “clustering” of cases in the two to four months after vaccination.
In a subsequent letter to the Lancet's editor Wakefield described the study by Taylor et al2 as containing a “fundamental flaw” and cited data from the United Kingdom (north west London) and the United States (California) based on the time trend of autism occurrence by birth cohort in relation to the introduction of the MMR vaccine.3 In both areas a dramatic increase in the incidence of autism was reported in temporal association with the rapid introduction of the vaccine.
We used the UK general practice research database (GPRD) to evaluate further the temporal relation of MMR vaccine and the incidence of autism.
Subjects and methods
The data in the UK general practice research database are firmly established in numerous publications to be of high quality and completeness4 and, in particular, the recording of vaccinations in this database has been found to be virtually complete (H Jick et al unpublished data).5 We initially tried to conduct a case-control analysis comparing children who received the MMR vaccine and those not vaccinated in relation to the diagnosis of autism. Only about 3% of cases and controls, however, did not receive the vaccine, and therefore there was too little information to provide a meaningful estimate of relative odds. We therefore conducted a time trend analysis to explore the relation of the MMR vaccine and the diagnosis of autism over time.
We identified 305 children aged 12 or younger whose diagnosis of autism was first recorded (first recorded diagnosis) during the years 1988 to 1999 (from among 3 092 742 person years of observation in the base population). We reviewed the detailed computer recorded information for each of these children. We estimated annual incidence (regardless of age at first recorded diagnosis) and age specific incidence (regardless of year of first recorded diagnosis). Some practices stopped providing information before 1999, and therefore the person time available in the later years was smaller than that in the earlier years.
Subsequent analyses were restricted to 114 boys born in 1988-93 who had a first recorded diagnosis of autism at age 2 to 5 years (24-71 months)—that is, during 1990-9. Annual birth cohorts were analysed separately. For each annual birth cohort, we estimated the four year cumulative incidence (risk) of diagnosed autism with the exponential formula: cumulative incidence=1−exp(−ΣIkΔt), where Ik represents the estimated age specific annual incidences for the individual birth cohort and Δt is one year. The prevalence of MMR vaccination among children registered in the general practice research database within 60 days of birth who had at least two years of recorded follow up was also calculated separately for each annual birth cohort. Statistical analyses were performed using STATA, version 7.0 (Stata Corporation, College Station, Texas).
Results
The estimated yearly incidence of diagnosed autism among children aged 12 years or younger (305 cases) increased sevenfold, from 0.3 per 10 000 person years in 1988 to 2.1 per 10 000 person years in 1999. The median age at first recorded diagnosis of autism was 4.6 years and did not vary substantially over time (table). The peak ages at first recorded diagnosis were 3 years and 4 years (fig 1). Two hundred and fifty four of the cases were male. About 81% (248/305) of the cases were referred to a specialist for evaluation of the diagnosis.
To assess more precisely the possibility of a temporal association between MMR vaccination and the risk of autism, we analysed data for consecutive annual birth cohorts of boys born during 1988-93. For each annual birth cohort, we estimated the four year cumulative incidence (risk) of a first recorded diagnosis of autism at age 2-5 years. One hundred and fourteen boys were included in this analysis. The four year risk of diagnosed autism increased nearly fourfold, from 8 (95% confidence interval 4 to 14) per 10 000 for boys born in 1988 to 29 (20 to 43) per 10 000 for boys born in 1993 (P<0.0001 by score test for trend in odds (fig 2)). In contrast, the prevalence of MMR vaccination among children registered in the general practice research database with at least two years of follow up was virtually constant (about 97%) for each successive annual birth cohort and was similar among males and females (data not shown).
Among the vaccinated children, the median age at first MMR vaccination was 14 months, and 95% of those vaccinated received their first MMR vaccination by age 20 months. Among 110 cases of autism in boys aged 2 to 5 years born in 1988-93 for whom MMR vaccination could be assessed, the distribution of age at first MMR vaccination was nearly identical to that of the population as a whole, and 109 (99%) were vaccinated, a prevalence nearly identical to that in the general population.
Discussion
Previous publications have reported that the overall incidence of clinically diagnosed autism began to rise in the late 1980s, and that the incidence occurs predominantly in boys.2,3,6 This study shows that the incidence has continued to increase during the past decade. Our analysis of the risk of diagnosed autism for boys aged 2 to 5 years showed a progressive increase for each successive birth cohort from 1988 to 1993, during which time the prevalence of MMR vaccination was over 95%. It should be noted that the MMR vaccine is given first at about 15 months of age and that autism is not typically diagnosed until age 2 years or later.
If the MMR vaccine were a major cause of the increasing incidence of autism then the risk of autism in successive birth cohorts would be expected to stop rising within a few years of the vaccine being in full use. This was not the case in our study as the cumulative incidence for boys ages 2 to 5 years rose almost fourfold in the 1993 birth cohort (with follow up to 1999) compared with the 1988 birth cohort, whereas the prevalence of MMR vaccination was over 95%. Thus no time correlation exists between the prevalence of MMR vaccination and the incidence of autism in each birth cohort from 1988 to 1993.
We recognise that the diagnosis of autism in our study was not confirmed from original records but consider that differential misclassification of the diagnosis in vaccinated and unvaccinated children is unlikely to vary over the period of the study.
What is already known on this topic
The incidence of autism in the United Kingdom has increased markedly over the past decade
Some have proposed that this may be related to introduction of the mumps, measles, and rubella (MMR) vaccine in 1988
What this study adds
The risk of autism increased nearly fourfold among boys aged 2 to 5 years born in 1988-93 and registered in the UK general practice research database, whereas the prevalence of MMR vaccination was over 95% and virtually constant
These data provide evidence against a causal association between MMR vaccination and the risk of autism
Time trend analysis for the evaluation of the relation of an exposure to an illness is a relatively crude method. This is particularly true where the exposure and the illness are both rising during the period of study as such a correlation may be coincidental and due to changes in other factors that are correlated over time with the outcome illness. Nevertheless, when the incidence of an illness is rising rapidly in each birth year cohort at the same time that an exposure is steady and almost universal, the exposure cannot be the explanation for the rapid increase in incidence that was observed.
The increase in recorded diagnoses of autism that we observed in the UK general practice research database could be due to increased awareness of the condition among parents and general practitioners, changing diagnostic criteria, or environmental factors not yet identified. A strength of our study is that we were able to use population based data in the general practice research database to estimate the birth cohort specific incidence of autism recorded by general practitioners as well as the prevalence of MMR vaccination. A limitation is that we have not yet obtained and evaluated full clinical record information from general practitioners to describe more fully the characteristics of children diagnosed as having autism and to explore other possible explanations for the marked increase in the incidence of this illness during the past decade. Nevertheless, these results provide evidence against a causal relation between MMR vaccination and the risk of autism.
Supplementary Material
Table.
Year of diagnosis | No of cases | No of person years at risk | Estimated incidence per 10 000 person years | Median age of cases (years) |
---|---|---|---|---|
1988 | 7 | 255 771 | 0.3 | 6.0 |
1989 | 8 | 276 644 | 0.3 | 5.6 |
1990 | 16 | 295 901 | 0.5 | 5.0 |
1991 | 14 | 309 682 | 0.5 | 4.4 |
1992 | 20 | 316 457 | 0.6 | 4.0 |
1993 | 35 | 316 802 | 1.1 | 5.8 |
1994 | 29 | 318 305 | 0.9 | 4.6 |
1995 | 46 | 303 544 | 1.5 | 4.3 |
1996 | 36 | 260 644 | 1.4 | 4.7 |
1997 | 47 | 216 826 | 2.2 | 4.3 |
1998 | 34 | 161 664 | 2.1 | 5.4 |
1999 | 13 | 60 502 | 2.1 | 5.9 |
Total | 305 | 3 092 742 | 1.0 | 4.6 |
Acknowledgments
We appreciate the helpful comments of Alexander M Walker on an earlier draft of the manuscript and thank the general practitioners who contribute data to the general practice research database for their excellent ongoing participation and patient care.
Footnotes
Funding: No specific funding.
Competing interests: The Boston Collaborative Drug Surveillance Program is supported in part by grants from AstraZeneca, Berlex Laboratories, Boehringer Ingelheim Pharmaceuticals, Boots Healthcare International, Bristol-Myers Squibb Pharmaceutical Research Institute, GlaxoWellcome, Hoffmann-La Roche, Janssen Pharmaceutica Products, R W Johnson Pharmaceutical Research Institute; McNeil Consumer Products, and Novartis Farmaceutica. JAK is a John and Virginia Taplin fellow at the Harvard School of Public Health and is supported by a training fellowship in cancer epidemiology from the National Cancer Institute (T32-CA 09001).
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