Literature DB >> 25834170

Neurodevelopmental outcomes following late and moderate prematurity: a population-based cohort study.

Samantha Johnson1, T Alun Evans1, Elizabeth S Draper1, David J Field1, Bradley N Manktelow1, Neil Marlow2, Ruth Matthews1, Stavros Petrou3, Sarah E Seaton1, Lucy K Smith1, Elaine M Boyle1.   

Abstract

OBJECTIVE: There is a paucity of data relating to neurodevelopmental outcomes in infants born late and moderately preterm (LMPT; 32(+0)-36(+6) weeks). This paper present the results of a prospective, population-based study of 2-year outcomes following LMPT birth.
DESIGN: 1130 LMPT and 1255 term-born children were recruited at birth. At 2 years corrected age, parents completed a questionnaire to assess neurosensory (vision, hearing, motor) impairments and the Parent Report of Children's Abilities-Revised to identify cognitive impairment. Relative risks for adverse outcomes were adjusted for sex, socio-economic status and small for gestational age, and weighted to account for over-sampling of term-born multiples. Risk factors for cognitive impairment were explored using multivariable analyses.
RESULTS: Parents of 638 (57%) LMPT infants and 765 (62%) controls completed questionnaires. Among LMPT infants, 1.6% had neurosensory impairment compared with 0.3% of controls (RR 4.89, 95% CI 1.07 to 22.25). Cognitive impairments were the most common adverse outcome: LMPT 6.3%; controls 2.4% (RR 2.09, 95% CI 1.19 to 3.64). LMPT infants were at twice the risk for neurodevelopmental disability (RR 2.19, 95% CI 1.27 to 3.75). Independent risk factors for cognitive impairment in LMPT infants were male sex, socio-economic disadvantage, non-white ethnicity, preeclampsia and not receiving breast milk at discharge.
CONCLUSIONS: Compared with term-born peers, LMPT infants are at double the risk for neurodevelopmental disability at 2 years of age, with the majority of impairments observed in the cognitive domain. Male sex, socio-economic disadvantage and preeclampsia are independent predictors of low cognitive scores following LMPT birth. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

Entities:  

Keywords:  Neonatology; Neurodevelopment

Mesh:

Year:  2015        PMID: 25834170      PMCID: PMC4484499          DOI: 10.1136/archdischild-2014-307684

Source DB:  PubMed          Journal:  Arch Dis Child Fetal Neonatal Ed        ISSN: 1359-2998            Impact factor:   5.747


School-aged children born late and moderately preterm are at significantly increased risk for adverse neurodevelopmental outcomes compared with term-born peers. Large prospective population-based studies of outcomes in infancy are needed. Two-year-old children born late and moderately preterm are at double the risk for neurodevelopmental disability compared with term-born peers. Risk factors for cognitive impairment include male sex, socio-economic disadvantage, non-white ethnic origin, preeclampsia and not receiving breast milk at discharge.

Introduction

Preterm birth rates (<37+0 weeks) have increased significantly in recent decades, largely due to an increase in late (34+0–36+6 weeks) and moderately preterm (32+0–33+6 weeks) deliveries.1 Long-term outcomes for late and moderately preterm (LMPT) infants remain poorly characterised although they account for up to 84% of all preterm births.2 Compared with term-born peers, increasing numbers of reports indicate that children born at late and/or moderately preterm gestations are at increased risk for health and developmental sequelae,3–5 cognitive deficits,6–8 learning difficulties9–13 and behaviour problems8 14 at school age; however, some studies have reported no differences compared with term-born controls.15 16 To allow reliable yet early detection of neurodevelopmental sequelae, assessment at 2 years of age is recommended.17 Reports of neurodevelopmental outcomes during the first 2 years of life are relatively scarce and have produced conflicting results.18 Some have reported an excess of neuromotor, sensory and cognitive impairments in late preterm infants,19–24 while others have found no significant differences after adjustment for confounders or correction for prematurity.21 23 25 Given the paucity of research to date, several authors have asserted that large prospective population-based studies are needed to estimate the long-term impact of LMPT birth.26 27 In this paper we report the results of a prospective population-based study of babies born LMPT compared with term-born controls. The aims of the study were to define neurodevelopmental outcomes at 2 years corrected age and to explore risk factors for adverse cognitive outcomes in LMPT infants.

Patients and methods

Population

From September 2009 through December 2010 the mothers of all babies born LMPT (32+0–36+6 weeks) within a geographically defined region of the East Midlands (UK) were invited to participate in the Late And Moderately preterm Birth Study (LAMBS). This examined births at four maternity centres, a midwifery-led birthing unit and home births during this period. A random sample of babies born at term (37+0–42+6 weeks) was also recruited during the same time period and in the same geographical region. Eligible term births were selected based on random sampling of dates and times of birth of babies in the same area during the previous year. In addition, mothers of all term-born multiples were invited to participate. Infants with major congenital anomalies were excluded from the present analyses.

Procedure

The study was approved by Derbyshire NHS Research Ethics Committee (Ref 09/H0401/25). Research midwives obtained informed consent from mothers during their postnatal stay; home visits were arranged for mothers discharged shortly after delivery. Mothers participated in a semi-structured interview after birth and obstetric and neonatal data were collected from mothers’ and infants’ medical records at discharge. Follow-up questionnaires were completed at 2 years corrected age.

Measures

Mothers were asked about demographic characteristics including ethnicity and language. To quantify socio-economic status (SES), a composite SES-Index score was computed using five proxy variables that measured mothers’ occupation, education, social support, income and wealth. Total SES-Index scores (range 0–12) were used to define three socio-economic risk categories: low (scores 0–2), moderate (scores 3–5) and high (scores ≥6) (see the online supplementary appendix). Obstetric data collected included maternal chronic health conditions, smoking and recreational drug use during pregnancy, preeclampsia, maternal infection during pregnancy, pre-labour rupture of membranes, antenatal corticosteroids, induction of labour, mode of delivery, raised C-reactive protein (CRP) during delivery and antenatal umbilical Doppler studies. Neonatal data items included sex, gestation, birth weight, small for gestational age (SGA; fetal weight <3rd percentile for sex and gestation using customised antenatal growth charts28), respiratory support, hypoglycaemia (blood glucose <2 mmol/L), jaundice requiring phototherapy, antibiotic administration, cranial ultrasound and MRI findings, and feeding at discharge. At 2 years corrected age, cognitive development was assessed using the Parent Report of Children's Abilities-Revised (PARCA-R).29 Scores for non-verbal cognition (NVC; range 0–34) and expressive language (range 0–124) were computed and a total parent report composite (PRC; range 0–158) score derived. PARCA-R scores are strongly correlated with scores on gold standard developmental tests.29–31 To identify moderate/severe cognitive impairment, a cut-off score corresponding with PRC scores <2.5th percentile in the term reference group was identified (PRC score <35). Where children had ≤4 missing NVC items (LMPT, n=40; term, n=44), these were substituted with the child's average NVC item score and the PRC score was computed. For 21 non-English speaking children in whom the language scale was not completed, a NVC score <22 corresponding with NVC scores <2.5th percentile of the term reference group was used to classify impairment. Cognitive impairment was not classified for six children with substantial missing PARCA-R data. Parents were asked whether their child had non-febrile seizures over the past year and whether s/he was currently taking anticonvulsant medication. Parents were also asked whether their child had a diagnosis of cerebral palsy (CP) and were asked to rate their child's vision, hearing and gross motor function (irrespective of CP); forced-choice answers corresponding with criteria for classifying health status following preterm birth17 were used to identify the severity of impairment (none, mild, moderate, severe) within each domain. Children with a moderate/severe vision (blind/vision uncorrected with aids), hearing (deaf/hearing uncorrected with aids) or gross motor impairment (non-ambulant/requires assistance to walk) were classified with neuromotor/sensory impairment. These were combined with cognitive impairment to provide a composite measure of neurodevelopmental disability defined as moderate/severe impairment in one or more of vision, hearing, gross motor or cognitive function.

Statistical analyses

Baseline socio-demographic characteristics were compared between the term and LMPT groups using percentages (χ2 test) and means (t test) as appropriate. Neurodevelopmental outcomes were compared between term and LMPT infants both crude and with adjustment for major confounders (sex, SES and SGA) using sandwich estimators to account for clustering of outcomes within multiple births. Sampling weights were used to account for the over-sampling of multiple births among the term group. For binary outcomes, differences between groups were quantified using relative risks obtained using Poisson regression. For continuous outcomes, the mean difference (95% CI) between groups was estimated using linear regression models. PARCA-R scores were converted to z scores using the mean (SD) of the term-born reference group to compare effect sizes across scales. Given the high prevalence of cognitive problems, univariable predictors of cognitive impairment were analysed using Poisson regression. A multivariable model was then constructed to identify independent risk factors using sandwich estimators to account for clustering of outcomes within multiple births. Backwards selection was used with all variables in the univariable analyses entered into the model and dropping out the least significant variable until all had p<0.05; all of the dropped variables were then entered in turn into this preliminary model and included if p<0.05.

Results

In total, 1130 LMPT and 1255 controls were recruited. Questionnaires were received for 59% of LMPT and 62% of term-born infants. After exclusion of infants with major congenital anomalies, the final sample comprised 638 (57%) LMPT infants and 765 (62%) controls (figure 1). The characteristics of both groups are shown in table 1. Mothers of LMPT infants were significantly more likely to have high socio-economic risk and LMPT infants were more likely to be born SGA (table 1).
Figure 1

Recruitment, follow-up rates and ascertainment of 2-year outcome data for late and moderately preterm infants and term-born controls.

Table 1

Baseline socio-demographic characteristics of mothers and their LMPT and term-born infants assessed at 2 years corrected age

VariableTermLMPTp Value
Infants, n765638
 Gestational age
  Mean (SD), weeks39.3 (1.4)34.9 (1.2)
  32–33 weeks, n (%)87 (13.6%)
  34–36 weeks, n (%)551 (86.4%)
  37–38 weeks, n (%)241 (31.5%)
  39–40 weeks, n (%)357 (46.7%)
  41–42 weeks, n (%)167 (21.8%)
 Multiple birth 
  n (%)151 (19.7)107 (16.8)
 Birth weight, g
  Mean (SD)3322 (535)2435 (502)
 Small for gestational age (SGA)*
  n (%)48 (6.3)67 (10.5)0.004
 Male sex 
  n (%)384 (50.2)343 (53.8)0.18
 Corrected age at assessment 
  Mean (SD)24.6 (1.1)24.6 (1.0)0.41
MothersN=690N=587p Value
 Age
  <20 years, n (%)16 (2.3)19 (3.2)0.56
  20–24 years, n (%)96 (13.9)86 (14.7)0.68
  25–29 years, n (%)181 (26.2)175 (29.9)
  30–34 years, n (%)209 (30.3)192 (32.8)0.73
  ≥35 years, n (%)188 (27.3)114 (19.5)0.003
 Ethnic group
  White, n (%)569 (82.5)461 (78.5)
  Mixed, n (%)7 (1.0)12 (2.0)0.118
  Asian or Asian British, n (%)77 (11.2)86 (14.7)0.057
  Black or Black British, n (%)30 (4.4)21 (3.6)0.62
  Chinese or other, n (%)7 (1.0)6 (1.0)0.92
  Unknown, n (%)0 (0.0)1 (0.2)
 English not first language
  n (%)85 (12.3)76 (13.0)0.66
 SES-Index
  Low risk, n (%)339 (49.1)256 (43.6)
  Medium risk, n (%)209 (30.3)184 (31.4)0.24
  High risk, n (%)142 (20.6)147 (25.0)0.028

*SGA classified as fetal weight <3rd percentile for sex and gestation using customised antenatal growth charts.28

SES-Index refers to socio-economic risk category derived from a composite measure of five indices of socio-economic risk (see the online supplementary appendix).

LMPT, late and moderately preterm.

Baseline socio-demographic characteristics of mothers and their LMPT and term-born infants assessed at 2 years corrected age *SGA classified as fetal weight <3rd percentile for sex and gestation using customised antenatal growth charts.28 SES-Index refers to socio-economic risk category derived from a composite measure of five indices of socio-economic risk (see the online supplementary appendix). LMPT, late and moderately preterm. Recruitment, follow-up rates and ascertainment of 2-year outcome data for late and moderately preterm infants and term-born controls. The characteristics of non-responders have been described previously.32 Non-responding mothers were younger, more likely to be non-white, non-English speaking and single parents, to have a lower occupational status and educational qualifications, to be struggling financially and to have poorer health than responders.

Neuromotor and sensory outcomes

LMPT children were at significantly increased risk for neuromotor/sensory impairment (1.6% vs 0.3%; RR 4.89, 95% CI 1.07 to 22.25; table 2). The prevalences of hearing, vision and gross motor impairments were each 0.3–0.5% higher in LMPT infants than in controls and CP was more common in term-born infants (0.5% vs 0%), but the low prevalence of these disorders precluded assessment of the significance of group differences in individual domains. There was no significant excess of seizures or use of anticonvulsant medication in LMPT infants.
Table 2

Neurodevelopmental outcomes at 2 years corrected age among late and moderately preterm (LMPT) infants and term-born controls

Neurodevelopmental outcomeModerately pretermLate pretermAll LMPTTermDifference LMPT vs term*
(n=87)(n=551)(n=638)(n=765)Unadjusted RR (95% CI)p ValueAdjusted† RR (95% CI)p Value
Neurological outcomes 
  Seizures, n (%)02 (0.4)2 (0.3)1 (0.1)1.96 (0.17 to 21.61)0.58
  Prescribed anticonvulsants, n (%)01 (0.2)1 (0.2)2 (0.3)0.49 (0.04 to 5.39)0.56
Neuromotor and sensory impairment 
  Cerebral palsy, n (%)0004 (0.5)
  Hearing impairment, n (%)03 (0.5)3 (0.5)0 (0.0)
  Vision impairment, n (%)02 (0.4)2 (0.3)0 (0.0)
  Gross motor impairment, n (%)05 (0.9)5 (0.8)2 (0.3)2.44 (0.47 to 12.57)0.29
  Neuromotor/sensory impairment‡, n (%)010 (1.8)10 (1.6)2 (0.3)4.89 (1.07 to 22.25)0.04
Cognitive development§Mean difference (95% CI) Mean difference (95% CI)
  Non-verbal cognition, mean (SD)27.1 (4.3)27.6 (4.5)27.5 (4.4)28.0 (3.4)−0.59 (−1.03 to −0.13)0.01−0.49 (−0.94 to −0.03)0.04
  Expressive language, mean (SD)58.9 (32.3)61.7 (34.0)61.3 (33.7)66.4 (31.7)−5.14 (−8.89 to −1.39)0.007−3.96 (−7.62 to −0.31)0.03
  Total PRC score, mean (SD)86.0 (34.5)89.3 (36.2)88.9 (36.0)94.5 (33.3)−5.80 (−9.78 to −1.82)0.004−4.49 (−8.36 to −0.62)0.02
RR (95% CI) RR (95% CI)
Cognitive impairment§, n (%)4 (4.7)36 (6.6)40 (6.3)18 (2.4)2.66 (1.53 to 4.62)0.0012.09 (1.19 to 3.64)0.01
Neurodevelopmental disability¶, n (%)4 (4.7)40 (7.3)44 (6.9)19 (2.5)2.37 (1.38 to 4.08)0.0022.19 (1.27 to 3.75)0.004

*Analyses were weighted to account for over-sampling of term-born multiples.

†Group differences adjusted for sex, SES-Index and SGA.

‡Neuromotor/sensory impairment is classified where a child has a moderate/severe impairment in any one of hearing, vision or motor function.

§Cognitive development was measured using the Parent Report of Children's Abilities-Revised and is defined as a PRC score of <35.

¶Neurodevelopmental disability is defined as a moderate/severe impairment in any one of hearing, vision, motor or cognitive function.

PRC, parent report composite; SGA, small for gestational age.

Neurodevelopmental outcomes at 2 years corrected age among late and moderately preterm (LMPT) infants and term-born controls *Analyses were weighted to account for over-sampling of term-born multiples. †Group differences adjusted for sex, SES-Index and SGA. ‡Neuromotor/sensory impairment is classified where a child has a moderate/severe impairment in any one of hearing, vision or motor function. §Cognitive development was measured using the Parent Report of Children's Abilities-Revised and is defined as a PRC score of <35. ¶Neurodevelopmental disability is defined as a moderate/severe impairment in any one of hearing, vision, motor or cognitive function. PRC, parent report composite; SGA, small for gestational age.

Cognitive outcomes

LMPT children had significantly lower mean scores than controls on all PARCA-R scales (table 2), which equated to a 0.14–0.15 SD deficit in both language and non-verbal cognition (figure 2). LMPT infants were significantly more likely to have moderate/severe cognitive impairment than controls (6.3% vs 2.4%; adjusted RR 2.09, 95% CI 1.19 to 3.64). Among LMPT infants, boys were significantly more likely to have moderate/severe impairment than girls (10.5% vs 1.4%; RR 7.77, 95% CI 2.78 to 21.50), but there was no significant sex difference among controls (3.2% vs 1.6%; RR 2.01, 95% CI 0.75 to 5.30).
Figure 2

Mean difference (95% CI) in Parent Report of Children's Abilities-Revised (PARCA-R) z scores between late and moderately preterm (32–36 weeks gestation) and term-born (37–42 weeks gestation) infants. z Scores were calculated using the mean (SD) of the term reference group. Solid lines represent crude differences and dashed lines represent differences adjusted for sex, socio-economic status and small for gestational age (SGA) status. PRC, parent report composite.

Mean difference (95% CI) in Parent Report of Children's Abilities-Revised (PARCA-R) z scores between late and moderately preterm (32–36 weeks gestation) and term-born (37–42 weeks gestation) infants. z Scores were calculated using the mean (SD) of the term reference group. Solid lines represent crude differences and dashed lines represent differences adjusted for sex, socio-economic status and small for gestational age (SGA) status. PRC, parent report composite.

Neurodevelopmental disability

LMPT infants were at significantly increased risk for moderate/severe neurodevelopmental disability (6.9% vs 2.5%; adjusted RR 2.19, 95% CI 1.27 to 3.75; table 2). Of 44 LMPT infants with disability, 40 (91%) had cognitive impairment compared with 18 of 19 (95%) controls with disability.

Risk factors for cognitive impairment in LMPT infants

Univariable analyses revealed that LMPT infants born to mothers aged ≥35 years, of a non-white ethnic origin, with medium or high socio-economic risk, pre-pregnancy hypertension or preeclampsia were more likely to have moderate/severe cognitive impairment (table 3). Of the neonatal factors examined, only male sex, hypothermia (<36°C) and not receiving breast milk at discharge were significantly associated with moderate/severe cognitive impairment. Multivariable regression models identified five independent risk factors for cognitive impairment in LMPT infants (table 3): male sex exerted the greatest effect (RR 7.04, 95% CI 2.52 to 19.67), while high socio-economic risk, non-white ethnic origin, preeclampsia and not receiving breast milk at discharge were also independent predictors.
Table 3

Associations between demographic, obstetric and neonatal factors and cognitive impairment at 2 years corrected age in LMPT infants

VariableCognitive impairment (n=40)Univariable analysesp ValueMultivariable analysesp Value
Obstetric/neonatal risk factor present, n (%)‡Obstetric/neonatal risk factor absent, n (%)‡RR (95% CI)RR (95% CI)
Obstetric risk factors
 Mother’s age
  <20 years1 (5.0)39 (6.3)1.31 (0.16 to 10.17)0.793
  20–24 years8 (9.0)32 (5.8)2.36 (0.88 to 6.32)0.086
  25–29 years7 (3.8)33 (7.3)Baseline
  30–34 years11 (5.1)29 (6.9)1.33 (0.52 to 3.37)0.544
  35+ years13 (10.4)27 (5.3)2.73 (1.12 to 6.67)0.027
 Non-white ethnic group13 (10.1)27 (5.4)1.88 (1.00 to 3.55)0.0502.06 (1.10 to 3.83)0.023
 Non-English speaking at home6 (7.5)33 (6.1)1.23 (0.53 to 2.84)0.632
 SES-Index
  Low risk8 (2.8)32 (9.1)Baseline
  Medium risk18 (9.2)22 (4.8)3.26 (1.44 to 7.35)0.0042.86 (1.24 to 6.57)0.013
  High risk14 (9.0)26 (5.3)3.19 (1.36 to 7.43)0.0072.36 (1.02 to 5.48)0.046
 Conceived via infertility treatment040 (6.9)
 Pre-pregnancy diagnosed diabetes1 (4.6)39 (6.4)0.72 (0.10 to 4.99)0.735
 Pre-pregnancy diagnosed hypertension3 (20.0)37 (6.0)3.36 (1.16 to 9.69)0.025
 Smoked during pregnancy*11 (8.6)29 (5.7)1.50 (0.76 to 2.94)0.238
 Drank alcohol during pregnancy†18 (6.3)22 (6.3)1.00 (0.54 to 1.86)0.997
 Recreational drugs used during pregnancy‡1 (8.3)39 (6.3)1.33 (0.22 to 7.86)0.750
 Preeclampsia12 (12.8)28 (5.2)2.47 (1.25 to 4.87)0.0092.51 (1.33 to 4.70)0.004
 Infection (+culture) during pregnancy1 (11.1)39 (6.2)1.79 (0.27 to 11.66)0.544
 Gestational diabetes3 (12.5)36 (5.9)2.11 (0.71 to 6.26)0.176
 Pre-labour rupture of membranes >24 h7 (5.7)33 (6.5)0.88 (0.39 to 1.95)0.745
 Antenatal corticosteroids given8 (4.6)31 (6.8)0.68 (0.31 to 1.46)0.320
 Labour induced9 (6.6)30 (6.0)1.10 (0.53 to 2.28)0.800
 Raised CRP during labour (>5 mg/L)1 (4.2)38 (6.5)0.64 (0.09 to 4.19)0.645
 Normal vaginal delivery20 (6.2)20 (6.4)0.98 (0.53 to 1.82)0.952
 Absent or reversed end diastolic flow2 (7.7)38 (6.2)1.23 (0.30 to 4.96)0.766
Neonatal risk factors
 Male36 (10.5)4 (1.4)7.74 (2.77 to 21.55)<0.0017.04 (2.52 to 19.67)<0.001
 Gestational age
  36 weeks22 (8.0)18 (5.0)Baseline
  35 weeks6 (3.6)34 (7.2)0.45 (0.18 to 1.10)0.080
  34 weeks8 (7.3)32 (6.1)0.91 (0.40 to 2.01)0.807
  33 weeks3 (6.3)37 (6.3)0.78 (0.24 to 2.48)0.671
  32 weeks1 (2.6)39 (6.5)0.33 (0.04 to 2.39)0.271
 Multiple birth4 (3.7)36 (6.8)0.55 (0.16 to 1.85)0.333
 Small for gestational age§
  >10th centile35 (6.2)5 (6.8)Baseline
  >3rd and ≤10th centile2 (5.0)38 (6.4)0.80 (0.19 to 3.24)0.759
  ≤3rd centile3 (9.1)37 (6.1)1.46 (0.47 to 4.55)0.511
 Resuscitated at birth8 (7.1)32 (6.1)1.16 (0.54 to 2.43)0.702
 Any respiratory support received¶6 (7.1)34 (6.2)1.14 (0.49 to 2.67)0.755
 Intracranial abnormality**0 (0)40 (6.3)
 Jaundice requiring phototherapy2 (4.1)36 (6.6)0.62 (0.15 to 2.52)0.502
 Hypoglycaemia (<2 mmol/L)4 (9.3)36 (6.1)1.53 (0.57 to 4.11)0.396
 Hypothermia (<36°C)7 (13.0)33 (5.7)2.29 (1.06 to 4.93)0.035
 Antibiotics given16 (7.3)24 (5.8)1.27 (0.68 to 2.34)0.445
 Any breast milk at discharge††17 (4.3)23 (9.5)0.46 (0.24 to 0.84)0.0110.52 (0.28 to 0.95)0.032

Data are shown for all independent variables entered in univariable analyses, and for factors that were significant independent predictors in multivariable analyses.

*Smoked during pregnancy is classified as mothers who smoked at least one cigarette per day at any time during pregnancy versus <1 cigarette per day; data were missing for two mothers.

†Drank alcohol during pregnancy is classified as mothers who drank any alcohol at any time during pregnancy versus no alcohol.

‡Recreational drugs used during pregnancy was classified for one or more instances of drug use at any time during pregnancy.

§Fetal weight for sex and gestation classified using customised fetal growth charts.28

¶Any respiratory support includes infants who were ventilated or received non-invasive respiratory support.

**Intra-cranial abnormality includes grade III or IV intra-ventricular haemorrhage, periventricular leukomalacia and grade II or III neonatal encephalopathy.

††Includes breast milk fed by any method. Data were missing for three mothers for gestational diabetes.

‡‡n (%) of infants with cognitive impairment where the obstetric/neonatal risk factor is present (column 2) and absent (column 3).

CRP, C-reactive protein; LMPT, late and moderately preterm.

Associations between demographic, obstetric and neonatal factors and cognitive impairment at 2 years corrected age in LMPT infants Data are shown for all independent variables entered in univariable analyses, and for factors that were significant independent predictors in multivariable analyses. *Smoked during pregnancy is classified as mothers who smoked at least one cigarette per day at any time during pregnancy versus <1 cigarette per day; data were missing for two mothers. †Drank alcohol during pregnancy is classified as mothers who drank any alcohol at any time during pregnancy versus no alcohol. ‡Recreational drugs used during pregnancy was classified for one or more instances of drug use at any time during pregnancy. §Fetal weight for sex and gestation classified using customised fetal growth charts.28 ¶Any respiratory support includes infants who were ventilated or received non-invasive respiratory support. **Intra-cranial abnormality includes grade III or IV intra-ventricular haemorrhage, periventricular leukomalacia and grade II or III neonatal encephalopathy. ††Includes breast milk fed by any method. Data were missing for three mothers for gestational diabetes. ‡‡n (%) of infants with cognitive impairment where the obstetric/neonatal risk factor is present (column 2) and absent (column 3). CRP, C-reactive protein; LMPT, late and moderately preterm.

Discussion

The adverse effects of LMPT birth are already evident at 2 years of age, with LMPT infants having double the risk of neurodevelopmental disability compared with term-born controls. The significant increase in neurodevelopmental disability was almost entirely due to cognitive deficits. Among LMPT infants, mean cognitive and language scores were 0.15 SD lower than among controls, which is equivalent to a 2.3-point deficit in standardised IQ scores. Similar to very preterm infants, this may be indicative of aberrant brain development.33 Substantial neurodevelopment occurs in the third trimester, including a fourfold increase in cortical volume, increased myelination and rapid cerebellar development.34–36 Even at LMPT gestations, preterm birth may impede the normal trajectory of brain development.37 Cognitive deficits of a similar magnitude have been reported in school-aged children born late preterm, although in some studies these differences were not significantly different from controls.6–8 15 16 Comparisons between studies are problematic given the heterogeneity in population characteristics, age at assessment and outcome measures.38 However, Nepomnyaschy et al21 reported that late preterm infants had significantly lower cognitive and language scores at 2 years, but there was a significant group difference only in language after adjustment for confounders. Woythaler and colleagues20 also reported significantly lower cognitive scores at 2 years in the same cohort. In contrast, smaller studies have not found significant group differences at this age, particularly where corrected age has been applied.23 39–41 Since corrected age was used to time assessments in the present study, our findings in terms of both significantly lower mean scores and higher prevalence of impairment are notable. Although the prevalence of neuromotor and sensory impairment was low, rates were 0.3–0.5% higher in the LMPT group. We were unable to assess the significance of group differences in individual domains and the 95% CI for composite neurosensory impairment was wide. However, our results are borne out by the findings of record-linkage studies that have reported a significant excess of neurological sequelae and CP.19 37 42 Few studies have investigated antecedents of adverse outcomes in LMPT infants. In the present study, the strongest risk factor for low cognitive scores was male sex: LMPT boys were at sevenfold increased risk compared with LMPT girls. Among males, LMPT birth conferred a greater risk of moderate/severe impairment compared to controls (10.5% vs 3.2%), while rates among female LMPT infants and controls were similar (1.4% vs 1.6%). The male disadvantage in neurodevelopmental outcomes is well documented in preterm cohorts and the interaction between sex and gestation may explain much of the disadvantage observed here among our LMPT population. As expected, socio-demographic factors were also markers of adverse outcomes; the additive impact of socio-economic factors on long-term outcomes has previously been reported in this population.11 43 Preeclampsia was also identified as an independent risk factor and has been associated with long-term cognitive and behavioural sequelae in general population samples,44–46 and it has been suggested that adverse behavioural outcomes in late preterm infants may be associated with maternal hypertensive disease.47 Worsening symptoms of preeclampsia frequently lead to delivery by induction or caesarean section. In such cases the maternal and fetal risks must be weighed against the long-term effects of prematurity. Further research is needed to disentangle the relative contribution of hypertensive disease and prematurity to long-term outcomes. It was noted that lack of continuing provision of breast milk at discharge was associated with moderate/severe cognitive impairment. Among extremely preterm infants this has been identified as an independent risk factor for autism and psychiatric disorders.48 49 The mechanisms underlying this association are unclear; the relationship may reflect socio-economic disadvantage, parental aspirations, early attachment, neurological difficulties or a direct role of breast milk in neuronal development.49

Strengths and limitations

The present study addresses the growing need for large, population-based investigations of outcomes following LMPT birth. Data were collected from a birth cohort spanning a wide geographical region of the East Midlands of England and the prospective nature enabled an investigation of risk factors for adverse outcomes including neonatal, antenatal and maternal lifestyle factors. Neurodevelopmental outcomes were classified using standard criteria for defining health status at 2 years17 and contemporaneous reference data were used to define cut-offs for cognitive impairment as recommended in follow-up studies.50 51 Group differences in outcomes were also investigated after adjustment for important confounders. The major limitation of this study was the response rate at 2 years and the selective dropout of mothers with greater socio-demographic risk. This may have resulted in an underestimation of the true prevalence of adverse outcomes; however, the factors affecting non-response were the same in both groups and thus the relative risks reported are likely to be reflective of the total population. The size of this study necessitated the use of parent questionnaires as outcome measures. Although these may be considered less preferable than developmental tests, well-validated tools were used where possible. In particular, the use of parent reports may have resulted in underestimation of the true prevalence of CP as this may be diagnosed later in childhood, particularly for infants with mild neuromotor signs. Longer term follow-up is needed to determine their prognostic value for later functional outcomes. Despite the sizeable cohort recruited, the study was powered to detect a difference in cognitive impairment between two groups (LMPT vs term). As such, we were unable to assess the statistical significance of group differences in neuromotor and sensory impairments and there was insufficient statistical power to explore a dose–response relationship with gestation age at birth.

Conclusions

Prematurity remains one of the major causes of infant mortality and lifelong morbidity worldwide. We have demonstrated that babies born at 32–36 weeks of gestation are at double the risk for neurodevelopmental disability at 2 years of age, with the vast majority of identified impairments in the cognitive domain. Given the size of the LMPT population, even the small increases in impaired outcomes observed in the present study may have significant long-term public health implications.
  48 in total

Review 1.  Brain injury in premature infants: a complex amalgam of destructive and developmental disturbances.

Authors:  Joseph J Volpe
Journal:  Lancet Neurol       Date:  2009-01       Impact factor: 44.182

2.  School outcomes of late preterm infants: special needs and challenges for infants born at 32 to 36 weeks gestation.

Authors:  Lisa J Chyi; Henry C Lee; Susan R Hintz; Jeffrey B Gould; Trenna L Sutcliffe
Journal:  J Pediatr       Date:  2008-03-19       Impact factor: 4.406

Review 3.  The influence of obstetric practices on late prematurity.

Authors:  Karin Fuchs; Cynthia Gyamfi
Journal:  Clin Perinatol       Date:  2008-06       Impact factor: 3.430

4.  Hypertensive diseases of pregnancy and the development of behavioral problems in childhood and adolescence: the Western Australian Pregnancy Cohort Study.

Authors:  Monique Robinson; Eugen Mattes; Wendy H Oddy; Nicholas H de Klerk; Jianghong Li; Neil J McLean; Sven R Silburn; Stephen R Zubrick; Fiona J Stanley; John P Newnham
Journal:  J Pediatr       Date:  2008-09-23       Impact factor: 4.406

5.  Disparities in the prevalence of cognitive delay: how early do they appear?

Authors:  Marianne M Hillemeier; George Farkas; Paul L Morgan; Molly A Martin; Steven A Maczuga
Journal:  Paediatr Perinat Epidemiol       Date:  2009-01-14       Impact factor: 3.980

6.  Increased risk of adverse neurological development for late preterm infants.

Authors:  Joann R Petrini; Todd Dias; Marie C McCormick; Maria L Massolo; Nancy S Green; Gabriel J Escobar
Journal:  J Pediatr       Date:  2008-12-10       Impact factor: 4.406

7.  Admissions of all gestations to a regional neonatal unit versus controls: 2-year outcome.

Authors:  Brian A Darlow; L John Horwood; M Beth Wynn-Williams; Nina Mogridge; Nicola C Austin
Journal:  J Paediatr Child Health       Date:  2009-03-23       Impact factor: 1.954

8.  Developmental assessment of preterm infants at 2 years: validity of parent reports.

Authors:  Samantha Johnson; Dieter Wolke; Neil Marlow
Journal:  Dev Med Child Neurol       Date:  2008-01       Impact factor: 5.449

9.  Long-term medical and social consequences of preterm birth.

Authors:  Dag Moster; Rolv Terje Lie; Trond Markestad
Journal:  N Engl J Med       Date:  2008-07-17       Impact factor: 91.245

10.  Early school-age outcomes of late preterm infants.

Authors:  Steven Benjamin Morse; Hao Zheng; Yiwei Tang; Jeffrey Roth
Journal:  Pediatrics       Date:  2009-04       Impact factor: 7.124

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  58 in total

1.  Neonatal Morbidities among Moderately Preterm Infants with and without Exposure to Antenatal Corticosteroids.

Authors:  Sanjay Chawla; Girija Natarajan; Dhuly Chowdhury; Abhik Das; Michele Walsh; Edward F Bell; Abbot R Laptook; Krisa Van Meurs; Carl T D'Angio; Barbara J Stoll; Sara B DeMauro; Seetha Shankaran
Journal:  Am J Perinatol       Date:  2018-04-27       Impact factor: 1.862

Review 2.  Vascular Dysfunction in Mother and Offspring During Preeclampsia: Contributions from Latin-American Countries.

Authors:  Fernanda Regina Giachini; Carlos Galaviz-Hernandez; Alicia E Damiano; Marta Viana; Angela Cadavid; Patricia Asturizaga; Enrique Teran; Sonia Clapes; Martin Alcala; Julio Bueno; María Calderón-Domínguez; María P Ramos; Victor Vitorino Lima; Martha Sosa-Macias; Nora Martinez; James M Roberts; Carlos Escudero
Journal:  Curr Hypertens Rep       Date:  2017-10-06       Impact factor: 5.369

3.  Understanding Gaps in Developmental Screening and Referral.

Authors:  Mei Elansary; Michael Silverstein
Journal:  Pediatrics       Date:  2020-03-02       Impact factor: 7.124

Review 4.  Bilirubin-Induced Audiologic Injury in Preterm Infants.

Authors:  Cristen Olds; John S Oghalai
Journal:  Clin Perinatol       Date:  2016-02-15       Impact factor: 3.430

5.  Association of Hypertensive Disorders of Pregnancy With Risk of Neurodevelopmental Disorders in Offspring: A Systematic Review and Meta-analysis.

Authors:  Gillian M Maher; Gerard W O'Keeffe; Patricia M Kearney; Louise C Kenny; Timothy G Dinan; Molly Mattsson; Ali S Khashan
Journal:  JAMA Psychiatry       Date:  2018-08-01       Impact factor: 21.596

6.  Maternal Education Level Predicts Cognitive, Language, and Motor Outcome in Preterm Infants in the Second Year of Life.

Authors:  Kousiki Patra; Michelle M Greene; Aloka L Patel; Paula Meier
Journal:  Am J Perinatol       Date:  2016-02-18       Impact factor: 1.862

7.  Executive functioning in low birth weight children entering kindergarten.

Authors:  S E Miller; M D DeBoer; R J Scharf
Journal:  J Perinatol       Date:  2017-10-19       Impact factor: 2.521

8.  Neonatal Growth Restriction Slows Cardiomyocyte Development and Reduces Adult Heart Size.

Authors:  Madeline H Knott; Sarah E Haskell; Payton E Strawser; Olivia M Rice; Natalie T Bonthius; Vani C Movva; Benjamin E Reinking; Robert D Roghair
Journal:  Anat Rec (Hoboken)       Date:  2018-05-20       Impact factor: 2.064

9.  Behavioral Problems and Socioemotional Competence at 18 to 22 Months of Extremely Premature Children.

Authors:  Myriam Peralta-Carcelen; Waldemar A Carlo; Athina Pappas; Yvonne E Vaucher; Keith Owen Yeates; Vivien A Phillips; Kathryn E Gustafson; Allison H Payne; Andrea F Duncan; Jamie E Newman; Carla M Bann
Journal:  Pediatrics       Date:  2017-06       Impact factor: 7.124

Review 10.  Nutritional policies for late preterm and early term infants - can we do better?

Authors:  Mariana Muelbert; Jane E Harding; Frank H Bloomfield
Journal:  Semin Fetal Neonatal Med       Date:  2018-10-12       Impact factor: 3.926

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