

* Department of Statistics, University of Warwick, Coventry, United Kingdom
School of Clinical Medical Sciences, The University of Newcastle, Newcastle, United Kingdom
Department of Public Health, The University of Liverpool, Liverpool, United Kingdom
| ABSTRACT |
|---|
|
|
|---|
Methods. Survival patterns for young people with CP were calculated using information from a collaborative database. This database consisted of registrations of children who were born with CP in 5 geographically defined areas in the United Kingdom between 1980 and 1996. Notification of subsequent deaths was provided by the relevant births and death register. We consider the effects of birth characteristics, socioeconomic status, and severity of CP on survival.
Results. There were 325 deaths among the 4007 cases of CP identified. The proportion of affected children who survived to 20 years of age ranged from 85% (Mersey-side and Cheshire, male individuals) to 94% (North of England, male individuals). Multivariate modeling showed that the severity of impairment had the biggest impact on survival and that additional contributions were made by birth weight and socioeconomic status but that after such adjustments regional differences were no longer significant.
Conclusions. The number and the severity of impairments are the best predictors of survival in young people with CP. After adjustment for the number of impairments, children who were born in affluent areas and had a low birth weight have an increased risk for death over those who were born with a normal birth weight. The same does not hold, however, for those who were born in deprived areas.
Key Words: survival impairments birth weight socioeconomic status
Abbreviations: CP, cerebral palsy UKCP, United Kingdom Collaborative Network of Cerebral Palsy Registers CI, confidence interval
Previous work has reported that most children with cerebral palsy (CP) survive to adulthood, unless they have severe motor and cognitive impairment.19 Some variations have been observed in reported survival rates from different regions and countries. However, much has been attributed to differences in severity profiles of the groups studied. Indeed, after conditioning on severity of impairment, country variations between California and Western Australia were no longer evident.10 In contrast, reported survival rates from England among the group with severe impairments do seem to differ.7 It is unclear from the published work whether these regional variations observed in England reflect true differences, for example, reflecting regional variations in general survival patterns, risk factor profiles, or levels of care, or rather are artifactual, for example, relating to differences in definition or measurement of impairments or differences in the ascertainment of those with the most severe impairment.
The United Kingdom Collaborative Network of Cerebral Palsy Registers (UKCP) brings together 5 research groups, each looking at the prevalence and the severity of CP among children who were born within separate, defined geographic areas in the United Kingdom. Issues of variations in ascertainment and in the definition and the measurement of impairments have been addressed. It therefore is possible to determine whether regional differences in survival are maintained after adjustments for variations in levels of impairment and birth characteristics. Furthermore, the effect of socioeconomic status on survival into adulthood for children who are severely affected by CP was investigated.
| METHODS |
|---|
|
|
|---|
A collaborative database to which the 5 registers submitted anonymized details of their cases was established. Cases were defined as children with early-impairment CP, that is CP that is believed to be attributable to an insult that occurred before age 28 days. Data on gender, birth weight, gestational age, year of birth, type and levels of impairments, and socioeconomic status were provided.
The 5 registers that contributed to the collaboration were established at different times, and the periods for which cases were available varies by register. Cases were included from year of birth 1980 for Mersey and the North of England and available from 1981 for Northern Ireland and 1984 for Oxford and Scotland. The North of England, Northern Ireland, and Oxford provided information on births up until 1996, whereas Mersey and Scotland had information on births until 1989. Cases from all 5 registers were followed up for death notifications until March 31, 2004. Each register flagged its cases with the relevant births and deaths register (the National Health Services Central Register for England and the Northern Ireland Central Services Agency or General Register Office for Scotland), which notifies the register when a flagged person dies. The U.K. system of death registration, in which by law all deaths must be registered, ensures that the fact of death is recorded for virtually all people. Dates of death for those who are abroad with the armed forces were also recorded, as were dates of emigration. Lifetimes were computed in weeks from birth until death. For those still alive, lifetimes in weeks from birth until the chosen censoring date, March 31, 2004 (or date of emigration), were computed. This censoring date had a lag of
3 months to allow for any delays in notifications of deaths.
Our inclusion criteria were that cases had to be flagged with the relevant births and deaths register, alive at age 2 years, and born to a mother who was known to be resident within the defined geographic regions of the registers. Inclusion of only those cases that were flagged successfully ensured that all deaths and emigrations were reported, and inclusion of only those infants who were alive at age 2 years recognizes that children who have CP and die before age 2 years are underreported17.
Classification of Covariates
Gestational age was classified into 2 groups: preterm (<37 weeks) and term infants (
37 weeks). For birth weight, 2 classification groups were used: low birth weight (<2500 g) and normal birth weight (
2500 g). The Carstairs index of deprivation18 was used as a measure of socioeconomic status, using ward of residence of the mother at the time of the birth, and standardized to the U.K. population. Quintiles range from 1, the most affluent, to 5, the most deprived, and the dichotomy "deprived" (Carstairs 4 and 5) and "affluent" (Carstairs 1, 2, and 3) was used here.
The binary categories "severe" and "not severe" were used to classify impairment variables. For lower limb function, a severe impairment indicates that the child is unable to walk even with aids, uses a wheelchair, or is bedridden. For upper limb function, a severe impairment indicates that the child is unable to feed or self-dress. A severe visual impairment is defined as vision in the better eye <6/60. A severe hearing impairment is defined as a hearing loss in the better ear >70 decibels averaged across frequencies 0.5 to 4 kHz. A severe intellectual impairment is defined as an IQ <50. For the sensory and cognitive variables, assessment of impairments was made by formal testing procedures or by clinical judgment when formal testing was not possible.
Statistical Analyses
Kaplan-Meier survival estimates at ages 5 to 20 years (where data permit) by 5-year intervals were provided for each region and decade of birth for male and female individuals. Numbers of cases in each group at the beginning of follow-up and standard error at 20 years (or last year of follow-up) were also provided. Regional variations by selected birth characteristics, impairments, and severity (except hearing, for which there are insufficient deaths in those with severe impairment to make any reasonable evaluations) were evaluated at 10 and 20 years. Differences between groups were evaluated using the log-rank test.19 Cox proportional hazards models19 were used to evaluate regional variations after adjustment for impairments, birth characteristics, socioeconomic status, and year of birth. Assumptions of proportionality were assessed by the Grambsch and Therneau methods, and best fits were evaluated using Akaikes information criterion.20
Expected survival proportions for the U.K. population, matched to the CP cohort by gender, year of birth, and alive at age 2 years, permitted comparisons with the general population. Expected survival estimates were computed using the relative survival package surv221 and using U.K. life tables (source: Government Actuarys Department).
| RESULTS |
|---|
|
|
|---|
|
|
30% in the other regions in the 1980s (omitting Scotland because 63% of data were missing). Rates of missing data were generally greater for the sensory variables (at
10%) than motor variables (at
5%) and were the highest and most variable for the intellectual impairment variable (as much as 63% in Scotland but as little as 1% in Mersey). In Oxford and Northern Ireland, the proportion of cases with missing information on intellectual impairment increased in the 1990s. The rate of missing data from the North of England was lower in the 1990s than in the 1980s.
|
|
|
|
Multivariate Survival
There was a reduction in life expectancy with increasing numbers of multiple severe impairments (Fig 1). Information was available on all 4 impairment variables for 2853 children in all of the regions (excluding Scotland because of poor intellectual impairment data) for both decades. The 475 (17%) who had either 3 or 4 impairment indicators that were classified as severe accounted for 84% of the deaths. For children with 2 severe impairments, the proportion who survived to 20 years of age was >90%, whereas with 4 severe impairments, the proportion who survived to 20 years of age was just 40%. Considering children with all 4 impairment variables recorded as severe, no significant regional variation was observed among the 4 regions. However, once again, Mersey had a slightly poorer outlook and Oxford slightly better (32% vs 42% at 20 years).
|
Furthermore, a significant interaction was found between deprivation status and birth weight: for those who were born in an affluent area, the effect of birth weight was 2.2-fold (95% CI: 1.24.1) that of the effect of birth weight for those who were born in a deprived area (Fig 2). In affluent areas, infants of normal birth weight had an increased relative hazard of 2.0 (95% CI: 0.85.4) compared with those of low birth weight, whereas in deprived areas, infants of normal birth weight had a decreased relative hazard of 0.93 (95% CI: 0.71.3) compared with those of low birth weight. For those who were born in an affluent area with normal birth weight and with all 4 impairment variables recorded as severe, <30% survive to 20 years of age, yet for those who were born in affluent areas and had low birth weight and all 4 impairment variables recorded as severe, >50% survived to 20 years of age. After the inclusion of these variables in the multivariate model, region or year of birth did not make a significant additional contribution.
|
| DISCUSSION |
|---|
|
|
|---|
Of those who had 4 severe impairments and were born with normal birth weight and in affluent areas, <30% will survive to 20 years of age. This estimate of survival for the most severely impaired group is worse than that previously published9 (although within expected margins of error) and is likely to be attributable to the additional contribution that socioeconomic status and birth weight make to survival outlook.
Birth Characteristics
The survival of those who were born with a low birth weight, contrary to what may be expected, although previously reported,9 is better than that of children who were born with a normal birth weight. Infants who are born preterm or with low birth weight are less likely to have severe impairment than those who are born at term or with normal birth weight; even after adjustment for level of impairment, children who are born preterm or with low birth weight still have better survival.9 However, our research shows that this holds true only for those who were born to mothers from affluent areas and that little difference is evident between the birth weight groups for those who were born to mothers from deprived areas. Furthermore, for those who were born to mothers from affluent areas, the 2-fold difference in risk reported here between those who were born with a normal birth weight and those who were born with a low birth weight is greater than that previously reported.
Although we have not presented our data on children with late-impairment CP because we know that it is underascertained, it has been shown9 that children with late-impairment CP have a poorer outlook than those with early-impairment CP for a particular severe impairment.9 If one considers gestational age to be a surrogate measure for age at insult and continues this time axis beyond birth to age at insult for late-impairment CP, then it could be hypothesized (again conditioning on severity of impairment) that there is a decrease in life expectancy with increasing age of insult. It would be of additional interest to evaluate influences of socioeconomic status on such outcomes.
Socioeconomic Variations
All of the UKCP regions except for Oxford happen to cover the more deprived regions of United Kingdom.22 A substantial class gradient is known to exist in childhood mortality. Using the National Statistics Socio-Economic Classification, infant mortality rates in the semiroutine and routine laborers (the 2 lowest occupational bands of the National Statistics Socio-Economic Classification) are 5.9 to 6.4 per 1000 live births compared with just 1.8 to 2.5 per 1000 live births in the higher professions.23 Perinatal, infant, and childhood mortality also vary by region, much of which might be associated with variations in social class.24,25
Socioeconomic variations may have wide ranging implications. First, differences in perinatal survival between the socioeconomic groups may affect underlying distributions of CP between the regions, affecting infants who survive to the age 2 threshold and may be ascertained in a study of this nature. Second, socioeconomic status is related to birth weight (with more infants from lower socioeconomic bands being born with low birth weights). A so-called low birth weight paradox exists where infants who were born with a low birth weight have a lower perinatal mortality when born to women of lower socioeconomic status than a higher socioeconomic status.26 However, survival for those children with CP would suggest a paradox of the normal birth weight infants: children who have CP and are born with normal birth weight have a lower mortality when born in deprived areas than in affluent areas.
Regional Variation and Data Ascertainment
Some of the disparity in international comparisons of survival of CP has been attributed to differences in ascertainment of the very mild and very severe impairment.10 Any assessment of regional variation must depend to some extent on assumptions of complete ascertainment or at least equivalent patterns of ascertainment across the regions. Exclusion of children who do not live to age 2 years limits the effect of underascertainment of severe cases. Focusing on those with severe impairment limits the effect of underascertainment of the very mild cases.
An investigation of possible underascertainment using capture-recapture methods in the Oxford region revealed that it was likely that between 13% and 21% of cases had not been ascertained across all years of birth and that this rate may be higher in more recent years (A. Silva, PhD, personal communication, 2004). Thus, the observed improvement in survival in the 1990s for Oxford could potentially be confounded by underascertainment issues. However, the estimated degree of underreporting in Oxford was also found to be lower for those with severe impairment compared with those with less severe impairment, and so the improvement in survival observed in those with severe impairment in Oxford in the 1990s may well represent a real improvement.
Ascertainment may also be influenced by whether data were collected retrospectively or prospectively. Retrospective methods may be less likely to ascertain children who had severe impairment and have already died. For instance, a more favorable outlook was observed in the North of England 1980s cohort than the 1990s. The survey initially obtained its cases by retrospective periodic searches, in 1985, 1990, and 1995, and then subsequently by prospective methods.
Implications of Potential Variations in Recording and Definitions
In an attempt to avoid some of the variation as a result of definition and classification of impairments, we considered only the binary classification of severe or not severe. However, variations in recording of severe impairments may account for some of the variability observed in survival between the regions for those who have severe impairment. In particular, children for whom severity status is unknown may be more likely to have severe impairment than not (eg, because of an inability to test the degree of severity, or the childs dying before testing was conducted). The Mersey register distinguishes between children for whom visual impairment is unknown and those for whom it is impossible to test. The survival for those for whom it is impossible to test is similar to those who have severe impairment.9 The North of England register also makes this distinction, but the 3 other registers do not. A detailed statistical analysis (not shown here) showed that such missing data were unlikely to alter the overall conclusions drawn (namely, that there exists regional variation when considering single severe impairments but not when considering multiple severe impairments).
Generalizability
Large cohorts of children are needed to derive precise estimates of life expectancy for children with CP. A known underreporting of CP on death certificates prevents such information from being taken from routine statistics. This large collaborative study helps to overcome issues of power and small numbers when subgroups of children with CP are studied. The geographically defined populations of each of the registers allows estimates to be applied to total populations.
| ACKNOWLEDGMENTS |
|---|
We thank each of the members of the UKCP collaboration for providing the data that allowed this work to be undertaken: Professor Pharoah and Deborah Quinney from Mersey; Jackie Parkes and Helen Dolk from Northern Ireland; Ann Johnson, Geraldine Surman, and Jennifer Kurinczuk from Oxford; and Jim Chalmers and Sandra Bonellie from Scotland. The work of coordinating the UKCP collaboration was conducted by Geraldine Surman. The work of merging and cleaning the database was conducted by Andy King, National Perinatal Epidemiology Unit, Oxford. The work of assigning Carstairs scores was conducted by Sam Pattenden, London School of Hygiene and Tropical Medicine. Professor Pharoah (with Professor Hutton) secured funding for this project and helped develop initial ideas. Acknowledgment is given to the National Health Services Central Register for England, the Northern Ireland Central Services Agency, and the General Register Office for Scotland for providing dates of death.
| FOOTNOTES |
|---|
Reprint requests to (J.L.H.) Department of Statistics, University of Warwick, Coventry, CV4 7AL, UK. E-mail: J.L.Hutton{at}warwick.ac.uk
No conflict of interest declared.
| REFERENCES |
|---|
|
|
|---|
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||