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a Division of Neonatology, Department of Pediatrics, Erasmus Medical Center–Sophia Children's Hospital, Rotterdam, Netherlands
b Business Unit Prevention and Healthcare, Netherlands Organization for Applied Research Quality of Life, Leiden, Netherlands
c Royal Effatha Guyot Group, Zoetermeer, Netherlands
d VU University Medical Center, Amsterdam, Netherlands
e Leiden University Medical Center, Leiden, Netherlands
f University Medical Center Groningen, Beatrix Children's Hospital, Groningen, Netherlands
g Emma Children's Hospital Academic Medical Center, Amsterdam, Netherlands
h Máxima Medical Center, Veldhoven, Netherlands
i University Medical Center St Radboud, Nijmegen, Netherlands
j University Hospital Maastricht, Maastricht, Netherlands
k Isala Clinics, Zwolle, Netherlands
l Wilhelmina Children's Hospital, University Medical Center, Utrecht, Netherlands
| ABSTRACT |
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METHODS. Infants who were born at <32 weeks of gestation and/or with a birth weight of <1500 g in the Netherlands in 1983 (Project on Preterm and Small for Gestational Age Infants) were reexamined at age 19. Outcomes were adjusted for nonrespondents using multiple imputation and categorized into none, mild, moderate, or severe problems.
RESULTS. Of 959 surviving young adults, 74% were assessed and/or completed the questionnaires. Moderate or severe problems were present in 4.3% for cognition, 1.8% for hearing, 1.9% for vision, and 8.1% for neuromotor functioning. Using the Health Utility Index and the London Handicap Scale, we found 2.0% and 4.5%, respectively, of the young adults to have
3 affected areas in activities and participation. Special education or lesser level was completed by 24%, and 7.6% neither had a paid job nor followed any education. Overall, 31.7% had
1 moderate or severe problems in the assessed areas.
CONCLUSIONS. A total of 12.6% of young adults who were born very preterm and/or with a very low birth weight had moderate or severe problems in cognitive or neurosensory functioning. Compared with the general Dutch population, twice as many young adults who were born very preterm and/or with a very low birth weight were poorly educated, and 3 times as many were neither employed nor in school at age 19.
Key Words: very low birth weight infants very preterm infants young adulthood long-term outcome cognitive function neurosensory function quality of life education employment
Abbreviations: VLBW—very low birth weight POPS—Project on Premature and Small for Gestational Age Infants WHO—World Health Organization HUI3—Health Utility Index Mark 3 LHS—London Handicap Scale CI—confidence interval
Preterm birth may have long-lasting effects. Although most preterm infants survive without major disabilities, follow-up studies at preschool age have revealed major disabilities such as cerebral palsy, mental retardation, blindness, and deafness.1,2 Follow-up studies at school age have shown socioemotional, cognitive, and learning problems in addition.3,4 The first studies in young adults who were born preterm in the 1970s reported risk for physical and neurodevelopmental problems, higher incidence of chronic illness, and lower IQ and academic achievement scores in comparison with term-born young adults.5–9 Regrettably, virtually all information on outcomes in adulthood has been collected from small numbers of infants in individual hospitals. Multicenter studies in individuals from defined geographic regions are now being recommended.10 Moreover, ranges of functional outcomes among successive cohorts of very low birth weight (VLBW) and very preterm infants have been lacking uniformity.11
The Dutch nationwide follow-up study, Project on Premature and Small for Gestational Age Infants (POPS), ongoing since 1983, gave us the opportunity to investigate cognitive and neurosensory functioning as well as activities and participation in society in relation to environmental and personal factors.12–15 We examined the degree to which these survivors from the early era of neonatal intensive care have become fully independent and satisfied with their role in society.12–15
| METHODS |
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Ethical Approval and Informed Consent
The respective medical ethics review boards approved the study protocol. All participants provided written informed consent to participate in the study before assessment started.
Measures at 19 Years of Age
Cognitive and neurosensory functioning as well as activities and participation in society at 19 years of age were classified according to the World Health Organization's (WHO's) International Classification of Functioning, Disability and Health.17 For each of these areas, we ascertained possible problems, and, when present, we rated them as mild, moderate, or severe.
With regard to cognitive and neurosensory functioning, the WHO defines impairments as a significant deviation or loss. Four areas were assessed: cognition, hearing, vision, and neuromotor function.
Cognition was assessed with the use of the computer version of the Multicultural Capacity Test–Intermediate Level developed by Bleichrodt and Berg.18 This test provides an overview of a person's capacity and skills, covering a fairly broad spectrum of intelligence factors: verbal and numerical factors, appreciation of spatial dimensions, fluent speech, memory, reasoning, and speed of perception. Cognition was classified according to the SD scores of the general population (IQ
85, no problem; IQ
70 and <85, mild problem; IQ
55 and <70, moderate problem; IQ <55, severe problem).
Hearing was tested for each ear separately by pure-tone audiometry with a hand-held audiometer, fitted for air and bone conduction. We determined auditory sensitivity as the mean of the threshold levels at 500, 1000, 2000, and 4000 Hz. Classification was according to the definitions of the WHO's International Classification of Impairments, Disabilities and Handicaps (loss in the best ear
25 dB, no problem; >25 and
55 dB, moderate problem; >55 dB, severe problem).19
Vision status was ascertained from the participant's self-report. Being blind or having severe visually impairment was classified as a moderate problem.
Neuromotor function assessment was based on Touwen's examination of minor neurologic dysfunction,20 as revised by Samsom et al.21 This examination focuses on 5 subcategories of function—hand function, quality of walking, coordination, posture, and passive muscle tone—resulting in 5 scores on the subcategories and a total score of the summed subcategories of 68 points. Outcome was expressed on a 3-point scale: the items were classified in an ordinal scale as being optimal (2 points), slightly deviant (1 point), or poor (0 points). Classification was according to the percentile scores of the mean of the Dutch norm group (score: 96%–100% [total score: 59.50–68.00], no problem; score: 76%–95% [total score: 46.98–59.49], mild problem; score: 51%–75% [total score: 31.32–46.97], moderate problem; score:
50% [total score:
31.31], severe problem).22
Individuals may experience limitations in activities and participation in society. The WHO defines activity limitations as difficulties that an individual may have in executing activities; participation restrictions are problems that an individual may experience in involvement in life situation.17 We assessed 4 areas that are relevant to this domain: health status, perceived health, education, and occupation.
Health status was determined with use of the Health Utilities Index Mark 3 (HUI3). Focusing on functional capacity, the HUI3 consists of 8 attributes of health status (vision, hearing, speech, ambulation, dexterity, emotion, cognition, and pain) with 5 or 6 levels per attribute.23
Perceived health was measured by the London Handicap Scale (LHS), a generic (utility) measure of disability. The LHS is based on the first version of the International Classification of Impairments, Disabilities and Handicaps. It incorporates a 6-point hierarchical scale of disadvantages for each of 6 dimensions of disability: mobility, physical independence (self-care), occupation (daily activities), social integration, orientation, and economic self-sufficiency.24
HUI3 attributes and LHS dimensions tend to be extremely skewed; as a result, relevant differences in distributions may go undetected. This is why we dichotomized HUI3 and LHS scores: scores 1 and 2 were considered to reflect no problem or a mild problem and scores
3 to reflect a moderate or severe problem. Total scores of 6 HUI attributes (we excluded emotion and pain as being subjective measures) and the 6 LHS dimensions were then classified as follows: 0 affected, no problem; 1 to 2 affected, mild problem; 3 to 4 affected, moderate problem; and 5 to 6 affected, severe problem.
Information concerning educational attainment and current enrollment in an educational program was ascertained from the participant's self-report. Graduation from or enrollment in university, higher vocational education, or senior or general secondary education was considered to reflect no problem; special education or junior secondary vocational education was a moderate problem; primary school and no certificate or current education on any level was a severe problem.
Occupational activities were ascertained from the participant's self-report and were classified as follows: full-time (
32 hours/week) job or full-time education or part-time education with a job for 16 to 31 hours/week, no problem; part-time education with a job for <16 hours/week or only a job for <32 hours/week, mild problem; part-time job and/or education with a disability allowance, moderate problem; no paid job and no education (with or without disability allowance), severe problem. Both education and occupation were classified according to the level of education and expectations of the general population for a 19-year-old individual.
In addition, we established the following environmental and personal factors: gender (male versus female), gestational age (
32, 31, 30, 29, 28, 27, or 26 to 25 completed weeks of gestation), birth weight (
1500, 1000 to 1500, or <1000 g at birth), and highest level of parental education (low [primary school or junior secondary vocational education], middle [general or senior secondary education], or high [higher vocational education, or university]).
Multiple Imputation and Data and Statistical Analyses
Multiple imputation25 was applied to adjust for missing values in some or all of the variables at age 19. This simulation-based approach creates a number of imputed (completed) data sets by "filling in" plausible values for the missing data. The imputations are based on a model that uses information from other variables to achieve optimal estimates. Only imputations for the missing values between the lowest and highest values of the measured outcome variable are valid. Uncertainty about the model estimates is reflected in differences between imputations in the different completed data sets. Realistic complete data estimates can be attained through pooling results from the completed data sets.
We used the MICE (Multivariate Imputation by Chained Equations) software program26 to create 5 imputed data sets, based on the environmental and personal factors mentioned, as well as maternal age at delivery; disability status at 5 years of age; available outcome-specific data at ages 5, 10, and 14 years; and all other outcomes at 19 years of age. We applied predictive mean matching27 to create multiple imputations. CIs for the outcomes were estimated through pooling of the multiple imputations in S-plus.
First, problem rates for areas separately were determined. Next, overall outcomes for cognitive and neurosensory functioning as well as activities and participation in society were calculated, followed by the total overall outcome. Problem severity in the overall outcome was based on the worst area of functioning, in agreement with recently published data.28 For example, a combination of multiple mild problems was still considered to be a mild problem in the overall outcome. Relationships between these outcomes were analyzed. Finally, relationships between the different outcomes and environmental and personal factors were determined.
Role of the Funding Source
The organizations that sponsored the study, mentioned in the acknowledgments, had no involvement in study design, data collection, analysis, interpretation of the data, or writing of the report.
| RESULTS |
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areas (data not shown). Half of the individuals with moderate or severe problems in education had full-time jobs, and 62% of those who neither had a paid job nor were enrolled in an educational program reported no or only mild problems with respect to health status and perceived health (data not shown).
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| DISCUSSION |
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Because comparison with a formal control group was impossible (because of financial restrictions), we used validated assessments and questionnaires for which norm scores have been established. The mean IQ of 97.8 (95% CI: 96.5–99.1) in our study population did differ significantly from the standard of the adult general population (IQ 100).18 The proportion of participants with hearing loss (1.8%) exceeded the norm (0.1%).30 Neuromotor scores in a norm group ranged from 60 to 66, versus a mean of 57.6 (95% CI: 56.8–58.4) in our study population.22 Data on vision, education, and occupation of 19-year-olds in the Dutch general population were derived from the Continuous Health Interview Survey 2001 and 2002 conducted by Statistics Netherlands. Frequency of self-reported vision problems in our study did not differ significantly from that in 19-year-olds in the general population. Twice as many 19-year-olds in our study population were poorly educated as compared with their age-peers in the general population (24.0% [95% CI: 20.9%–27.1%] vs 12.8% [95% CI: 10.5%–15.6%]). Furthermore, thrice as many were neither employed nor in school (7.6% [95% CI: 5.8%–9.4%] vs 2.6% [95% CI: 1.6%–4.2%]). Scores on the HUI3 and LHS compared well with those in the general population.31
Earlier studies on very preterm and VLBW children consistently reported lower cognitive scores and lower academic skills in young adulthood as compared with control subjects (or the general population).6–9,32 However, although the findings from our study are consistent with the educational disadvantage observed previously, the mean IQ in our cohort was only 2.2 IQ points lower than that in the Dutch adult general population. One possible explanation for this surprisingly good result is that individuals with severely disabilities were unable to do the computer test. Furthermore, our result indicates that apart from IQ, several factors, such as socioeconomic circumstances, behavior, and neurosensory impairments, explain the educational attainment.33
Most earlier studies found a normal perceived quality of life in early adulthood.9,29,34,35 Similarly, in our study, health status and perceived health (measured by HUI3 and LHS) were better than expected from the impairments in cognitive and neurosensory functioning. Dinesen and Greisen34 reported several reasons for the discrepancy between objective and subjective quality of life: people often neglect needs that they consider unattainable; needs that are satisfied with no effort are not considered to be needs; actual needs may differ from person to person.
For reasons of comparability, we based problem severity in the overall outcome on the worst area of functioning.28 Thus, overall 31.7% of survivors were found to have
1 moderate or severe problems. Another 41.1% had
1 mild problems. Seeing that this classification is arbitrary, we recalculated overall outcome defining
2 mild problems (eg, IQ of 75, mild neurologic dysfunction) as a moderate problem. Doing so, 44.1% of survivors would show a moderate or severe problem and 28.7% only 1 mild problem.
A limitation of our study might be that we focused on the traditional areas of functioning, leaving out physiologic parameters (eg, several chronic diseases36–42). Therefore, the overall proportion of young adults with a moderate or severe problem of any kind is likely to be underestimated in this study.
A problem that is inherent to long-term follow-up of preterm infants is that outcomes might not be relevant to survivors of current neonatal intensive care. Major changes have occurred since the early days of the development of intensive care treatment for preterm neonates. Since the 1980s, the survival rate has increased significantly. One might speculate that advances in medical technology and increased understanding of how to prevent neonatal damage may have led to a reduction in rates of disabilities.43 However, because of these advances, ever-increasing numbers of extremely immature and sick infants now have a chance to survive and may add to the total number of children with problems in functioning in the community.28 Recent Dutch cohort studies confirmed that improvements in perinatal and neonatal care have led to an increased survival of especially extremely preterm infants. However, increased survival has resulted in more morbidity.44–46 We therefore suggest that our results have relevance to current survivors of current neonatal intensive care.
| CONCLUSIONS |
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moderate or severe problems in the assessed areas. The vast majority (>95%) of the total study population reported to be satisfied with their activities and participation in society. Compared with the general Dutch population, twice as many very preterm and/or VLBW infants are poorly educated and thrice as many are neither employed nor in school at 19 years of age.
| ACKNOWLEDGMENTS |
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The following are members of the Dutch POPS-19 Collaborative Study Group: Netherlands Organization for Applied Research Quality of Life, Leiden (E.T.M. Hille, C.H. de Groot, H. Kloosterboer-Boerrigter, A.L. den Ouden, A. Rijpstra, S.P. Verloove-Vanhorick, J.A. Vogelaar, coordinating center); Emma Children's Hospital Academic Medical Center, Amsterdam (J.H. Kok, A. Ilsen, M. van der Lans, W.J.C. Boelen-van der Loo, T. Lundqvist, H.S.A. Heymans); University Medical Center Groningen, Beatrix Children's Hospital, Groningen (E.J. Duiverman, W.B. Geven, M.L. Duiverman, L.I. Geven, E.J.L.E. Vrijlandt); University Hospital Maastricht, Maastricht (A.L.M. Mulder, A. Gerver); University Medical Center St Radboud, Nijmegen (L.A.A. Kollée, L. Reijmers, R. Sonnemans); Leiden University Medical Center, Leiden (J.M. Wit, F.W. Dekker, M.J.J. Finken); Erasmus Medical Center–Sophia Children's Hospital, University Medical Center Rotterdam (N. Weisglas-Kuperus, M.G. Keijzer-Veen, A.J. van der Heijden, J.B. van Goudoever); VU University Medical Center, Amsterdam (M.M. van Weissenbruch, A. Cranendonk, H.A. Delemarre-van de Waal, L. de Groot, J.F. Samsom); Wilhelmina Children's Hospital, University Medical Center, Utrecht (L.S. de Vries, K.J. Rademaker, E. Moerman, M. Voogsgeerd); Máxima Medical Center, Veldhoven (M.J.K. de Kleine, P. Andriessen, C.C.M. Dielissen-van Helvoirt, I. Mohamed); Isala Clinics, Zwolle (H.L.M. van Straaten, W. Baerts, G.W. Veneklaas Slots-Kloosterboer, E.M.J. Tuller-Pikkemaat); Royal Effatha Guyot Group, Zoetermeer (M.H. Ens-Dokkum); Association for Parents of Premature Infants (G.J. van Steenbrugge).
We thank the young adults and their parents for generosity in participating in our ongoing studies for the past 19 years and J.J. Hagoort for editing the English text.
| FOOTNOTES |
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Address correspondence to S. Pauline Verloove-Vanhorick, MD, PhD, TNO Quality of Life, Business Unit Prevention and Healthcare, PO Box 2215, 2301 CE Leiden, Netherlands. E-mail: pauline.verloove{at}tno.nl
The authors have indicated they have no financial relationships relevant to this article to disclose.
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800 g) adolescents who are free of major impairment compared with term-born control subjects.
Pediatrics. 2004;114(6)
. Available at: www.pediatrics.org/cgi/content/full/114/6/e725
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