Importance
Antenatal magnesium sulfate given to pregnant women at imminent risk of very preterm delivery reduces the risk of cerebral palsy in early childhood, although its effects into school age have not been reported from randomized trials.
Objective
To determine the association between exposure to antenatal magnesium sulfate and neurological, cognitive, academic, and behavioral outcomes at school age.
Design, Setting, and Participants
The ACTOMgSO4 was a randomized clinical trial conducted in 16 centers in Australia and New Zealand, comparing magnesium sulfate with placebo given to pregnant women (n = 535 magnesium; n = 527 placebo) for whom imminent birth was planned or expected before 30 weeks’ gestation. Children who survived from the 14 centers who participated in the school-age follow-up (n = 443 magnesium; n = 424 placebo) were invited for an assessment at 6 to 11 years of age between 2005 and 2011.
Main Outcomes and Measures
Mortality, cerebral palsy, motor function, IQ, basic academic skills, attention and executive function, behavior, growth, and functional outcomes. Main analyses were imputed for missing data.
Results
Of the 1255 fetuses known to be alive at randomization, the mortality rate to school age was 14% (88/629) in the magnesium sulfate group and 18% (110/626) in the placebo group (risk ratio [RR], 0.80; 95% CI, 0.62-1.03, P = .08). Of 867 survivors available for follow-up, outcomes at school age (corrected age 6-11 years) were determined for 669 (77%). Comparing the magnesium sulfate and placebo groups revealed no statistically significant difference in proportions with cerebral palsy (23/295 [8%] and 21/314 [7%], respectively; odds ratio [OR], 1.26; 95% CI, 0.84-1.91; P = .27) or abnormal motor function (80/297 [27%] and 80/300 [27%], respectively; OR, 1.16; 95% CI, 0.88-1.52; P = .28). There was also little difference between groups on any of the cognitive, behavioral, growth, or functional outcomes.
Conclusions and Relevance
Magnesium sulfate given to pregnant women at imminent risk of birth before 30 weeks’ gestation was not associated with neurological, cognitive, behavioral, growth, or functional outcomes in their children at school age, although a mortality advantage cannot be excluded. The lack of long-term benefit requires confirmation in additional studies.
Trial Registration
anzctr.org.au Identifier: ACTRN12606000252516
Survival rates for infants born at less than 28 weeks’ gestation at birth have increased with the advent of modern perinatal and neonatal intensive care, but rates of adverse long-term neurodevelopmental outcomes remain high relative to the outcomes for term infants.1
The major use for magnesium sulfate in obstetrics is to prevent eclampsia in women with severe preeclampsia.2 It is also used as a tocolytic, although evidence for this indication is lacking,3 and as a neuroprotectant for preterm fetuses.4-6 Experimental studies7 and observational data from humans8 are consistent with a possible neuroprotective effect. Five completed randomized clinical trials (RCTs) of magnesium sulfate and a meta-analysis support that magnesium sulfate is neuroprotective, reducing the prevalence of cerebral palsy in early childhood compared with no magnesium sulfate (risk ratio [RR], 0.69; 95% CI, 0.54-0.87).4 Magnesium sulfate also lowered the prevalence of substantial motor dysfunction in early childhood (RR, 0.61; 95% CI, 0.44-0.85).
The Australasian Collaborative Trial of Magnesium Sulphate (ACTOMgSO4),9 1 of the 5 trials included in the Cochrane review, was designed to assess whether antenatal magnesium sulfate given to women at risk of preterm birth before 30 weeks’ gestation was related to mortality and neurosensory morbidity, particularly cerebral palsy, in early childhood.9 The prevalence of cerebral palsy at age 2 years was similar in the 2 groups—6.8% (36/533) in the magnesium sulfate group and 8.2% (42/514) in the placebo group (RR, 0.83; 95% CI, 0.54-1.27)—but the prevalence of substantial motor dysfunction was reduced to 3.4% from 6.6% (RR, 0.51; 95% CI, 0.29-0.91).
Outcomes beyond early childhood have not been reported from any of the RCTs to date. As antenatal magnesium sulfate has been introduced into routine clinical practice to reduce the prevalence of cerebral palsy in very preterm infants in many parts of the world,5,6 any delayed adverse outcomes and benefits of this treatment should be identified. The aim of this study was to determine outcomes into school age from antenatal magnesium sulfate compared with placebo from the ACTOMgSO4.9
Full details of the study design and outcomes to age 2 years have been reported previously (see trial protocol in Supplement 1).9 Briefly, a total of 1062 women with a pregnancy less than 30 weeks’ gestational age for whom birth was planned or expected within 24 hours were randomized at 16 centers in Australia and New Zealand to receive either intravenous magnesium sulfate (n = 535; 4-g loading dose; 1 g/h maintenance, for up to a maximum of 24 hours) or normal saline placebo (n = 527). These women had a total of 1255 fetuses alive at randomization, and there were 1066 survivors to hospital discharge (n = 544 exposed to magnesium sulfate; n = 522 placebo). Participants were recruited between February 1996 and September 2000. Of the 16 study centers from the original trial, 14 agreed to participate in a follow-up protocol at school age. This follow-up of participating children at school age was not part of the original protocol developed in 1994. Ethical approval for further follow-up was obtained from each site, and parents gave written informed consent for their child to participate.
The outcomes for the school-age follow-up were cerebral palsy, motor function, general intellectual ability, academic skills, attention, executive function, behavior, growth, and functional and other neurosensory outcomes, all areas in which very preterm children have worse performance compared with children born at term.10 Broad outcomes were selected because there is no experimental evidence to suggest selective neurological effects, either beneficial or harmful, for magnesium sulfate, as well as to ensure there were no unexpected consequences of treatment. Mortality was also recorded because it is a competing risk for long-term outcomes.
It was planned to assess the majority of children between the ages of 7 and 8 years, but to maximize the follow-up rate, we accepted data outside this range if they were the only assessments available. Assessments started in 2005 and finished in 2011. Children were assessed without reference to any previous results by members of the study team who were blinded to treatment group allocation. Age was corrected for prematurity because even at school age, correction for prematurity results in elimination of a small but potentially clinically important bias in cognitive test scores.11,12
A developmental pediatrician examined the children to detect the presence of cerebral palsy, the diagnosis of which comprised nonprogressive loss of motor function with disordered tone or tendon reflexes. The severity of gross motor function in children with cerebral palsy was classified according to the Gross Motor Function Classification System (GMFCS).13 The severity of the disability imposed by cerebral palsy was graded into severe (GMFCS level 5 [has limited voluntary control of movement] or level 4 [uses a wheelchair]), moderate (GMFCS level 3 [walks on a level surface with an assistive mobility device] or level 2 [walks on uneven surfaces, climbs stairs holding a railing]), or mild (GMFCS level 1 [walks without restrictions, limitations in more advanced gross motor skills]). Some children without cerebral palsy also had gross motor dysfunction assigned according to the GMFCS. Motor function was also assessed by the Movement Assessment Battery for Children (MABC), the first edition for most children.14 The MABC is a standardized test of motor function. Those who scored below the 15th centile according to the test norms were considered to have borderline motor function, and those who scored below the 5th centile were considered to have a definite motor problem. Some children (n = 32) were assessed with the second edition of the MABC,15 and their centiles were classified as for the first edition.
General cognitive ability was assessed using the Wechsler Intelligence Scale for Children–Fourth Edition.16 The full-scale IQ measured general intellectual ability, while the 4 index scores (verbal comprehension, perceptual reasoning, working memory, processing speed) were used to examine specific elements of cognitive functioning. Each scale/index is age standardized with a mean (SD) of 100 (15). A score less than 85 indicates intellectual impairment; moderate intellectual impairment is indicated by a score less than 70.
Academic skills were assessed using the Wide Range Achievement Test (WRAT3).17 The WRAT3 includes 3 subtests that assess reading (word recognition and decoding), spelling, and arithmetic. Each scale is age standardized with a mean (SD) of 100 (15).
Attention and executive function are multidimensional constructs that are considered areas of concern for very preterm children.18,19 The psychological assessment included a battery of tests sensitive to specific attentional and executive processes.
Sky Search, a subtest from the Test of Everyday Attention for Children (TEACh),20 assesses selective visual attention. Children search for all the “target” spaceships as quickly as possible on a sheet filled with similar distractor spaceships. Performance was determined by the age-sex standardized score for the number of targets identified (mean [SD], 10 [3]).
Sustained attention was assessed by Score!, a subtest from the TEACh. For each of 10 trials, children count the number of beeps presented at random intervals on an audiotape. Performance was judged by the standardized score for the number of correct trials (mean [SD], 10 [3]).
Divided attention was assessed by Sky Search Dual Task, which involves children completing a visual search task (similar to Sky Search) and an auditory counting task (similar to Score!). Performance was determined by the average of the following: (proportion of visual targets correctly identified + proportion of correct auditory counting games) × 100.19 Although there are no published norms for this scoring procedure, the range of possible values is 0 to 100, and in a recent study of 173 control children at age 8 years, the mean (SD) score was 80.3 (16.5).19
Shifting attention was assessed by Creature Counting, a subtest from the TEACh. Children are required to count the number of creatures with random arrows instructing them to count upwards or downwards (ie, to shift between counting upwards and downwards). Performance was judged by a standardized score of accuracy (mean [SD], 10 [3]).
The Rey Complex Figure21,22 assesses spatial organization and strategic decision making. Children are required to copy, as accurately as possible, a complex geometrical figure. After an interval of at least 20 minutes, they are asked to draw the figure again from memory. Accuracy was assessed using the scoring procedure developed by Osterrieth (maximum score, 36)23,24 for both the initial attempt (copy score) and from memory (recall score).
The Behavior Rating Inventory of Executive Function25 is a questionnaire that assesses behavioral manifestations of inattention and executive dysfunction. Both parent and teacher versions were administered. Summary scores of interest were the General Executive Composite and the Metacognition and Behavioral Regulation Indices (mean [SD], 50 [10]; higher scores indicate more problems). Clinical validity has been supported with a variety of diagnostic groups.25
Attention-deficit/hyperactivity disorder (ADHD) symptoms were evaluated with parent and teacher versions of the Conners ADHD/DSM-IV Scales (Psychological Corporation), which have age/sex T scores (mean [SD], 50 [10]; higher scores indicate more problems).26 General behavior problems were also assessed using the total difficulties score from parent and teacher reports of the Strengths and Difficulties Questionnaire, with possible scores ranging from 0 to 40: normal is 0 to 13; borderline, 14 to 16; and abnormal, greater than 17.27
Other Health and Functional Outcomes
Weight and height were measured with the child wearing minimal clothing and either bare feet or light socks and values for SD scores computed from the British Growth Reference data.28 Health-related quality of life was measured by the parent-completed Multiattribute Health Status classification system, which has been adapted for children.29 A Health Utility Index is obtained, which ranges from 1 for perfect health to 0 for death. Children were also assessed with the parent-completed Australian Authorised Adaptation of the Child Health Questionnaire (CHQ).30 The CHQ has been normed with more than 5000 Australian children aged 5 to 18 years and provides assessments of the child’s psychosocial health (score, 0-600) and physical health (score, 0-400), with higher scores being better. Visual acuity was assessed with a standard eye chart. Children were considered blind if vision in both eyes was worse than 20/200. Children with suspect hearing problems, either from a history of hearing difficulties or delayed language development or on examination by the pediatrician, including a whispered hearing test, were referred for audiological evaluation; children were considered deaf if they required hearing aids or worse.
Neurosensory disability was classified as previously described.31,32 Severe disability comprised any of severe cerebral palsy, an IQ less than 55, or blindness. Moderate disability comprised any of moderate cerebral palsy, deafness, or an IQ from 55 to 69. Mild disability comprised any of mild cerebral palsy or an IQ from 70 to 85. The children who did not meet these criteria were considered to have no neurosensory disability.
Data were analyzed by a statistician independent of the clinical investigators using Stata version 13 (StataCorp). Dichotomous outcomes were compared between the groups using logistic regression and continuous outcomes by linear regression, both fitted using generalized estimating equations to allow for the correlation between multiple births from the same pregnancy, and including a fixed effect for study centers (combining study centers with <50 participants into a single site). In a secondary analysis, treatment group differences were adjusted for potential confounders of race (white vs other), language spoken at home (English-only vs other), social class assessed by the occupation of the main income earner in the family (higher = professional, skilled, or semiskilled vs lower = unskilled, unemployed), and mother’s education (≤11 vs >11 years of schooling), as well as sex of the child. We included race identified on self-report from the parents with options of white, indigenous, or other defined by the investigators because children of nonwhite race perform less well than children of white race on some cognitive tests.
Multiple imputation was carried out to impute the missing outcomes in the sites participating in the follow-up (including all 867 participants eligible for follow-up) (Figure). All outcomes were imputed simultaneously using a joint imputation model, including gestational age, birth weight, sex, multiple pregnancy, grade 3 or 4 intraventricular hemorrhage, cystic periventricular leukomalacia, postnatal corticosteroids, ethnicity, the Mental Developmental Index and the Psychomotor Developmental Index from the Bayley Scales of Infant Development, Second Edition,33 at age 2 years, and maternal education and social class as predictors in the imputation model. Imputation was carried out separately in the 2 treatment groups using multivariate normal imputation in Stata version 13. Twenty imputed data sets were generated in each treatment group and the resulting data sets from the 2 groups from each imputation combined for analysis. Linear regression was used to compare all continuous outcomes between the groups after imputation combining the results across the 20 imputed data sets. Linear regression was used irrespective of the distribution of the outcome because it is not possible to combine the results from nonparametric tests following multiple imputation in Stata. Ordinal variables were compared between the groups using (unadjusted) Mann-Whitney tests using a complete case analysis as these tests were not available after multiple imputation. As a sensitivity analysis for the method used to handle the missing data, we repeated the analysis using a complete case analysis.
The significance threshold was set at P < .05. Given the large number of outcomes considered, results were interpreted with caution, and we considered the pattern and magnitude of events rather than focusing on individual P values. All tests were 2-sided.
With a sample size of 443 in the magnesium sulfate group and 424 in the placebo group, the study had 80% power to detect mean differences between groups as small as SD 0.19 or reductions in proportions observed in the placebo group from 27% to 18.9% for motor impairment or from 8% to 3.5% for cerebral palsy.
Of the 1255 fetuses known to be alive at randomization, the known mortality rate to school age was lower in the magnesium sulfate group (14.0%; 88/629) compared with the placebo group (17.6%; 110/626) (Figure), although this difference did not reach statistical significance (RR, 0.80; 95% CI, 0.62-1.03; P = .08).
Of the 1060 known survivors at the 2-year follow-up, 3 children died before the school-age follow-up and 190 were from centers that did not participate in the school-age follow-up protocol, leaving 867 children (443 magnesium sulfate and 424 placebo) available for follow-up at school age (Figure). Of these 867 children, outcomes at school age were determined for 669 (77%), with the outcome data available for between 552 (64%) for the teacher-reported questionnaires and 649 (75%) for the psychological tests (Figure). Both groups were assessed at a mean (SD) age of 8.4 (1.0) years, corrected for prematurity. The magnesium sulfate and the placebo groups were well balanced for important perinatal, sociodemographic, and 2-year outcome variables among those assessed (Table 1). Children assessed at school age compared with available children who were not assessed were similar for most maternal, perinatal, and 2-year outcome variables, apart from being born at a lower gestational age and with a lower birth weight, being more likely to be from a multiple pregnancy, having more exposure to postnatal corticosteroids, and having a higher Mental Developmental Index score at 2 years (eTable 1 in Supplement 2).
Comparing the magnesium sulfate and placebo groups revealed no statistically significant differences with treatment in proportions with cerebral palsy or its severity (Table 2) (8% vs 7%; OR, 1.26; 95% CI, 0.84 to 1.91). There was 96% agreement between a diagnosis or not of cerebral palsy at age 6 to 11 years with that at age 2 years in children assessed at both ages, although 11 children with cerebral palsy at age 2 years no longer had the diagnosis at age 6 to 11 years, and 16 children with no cerebral palsy at age 2 years had the diagnosis at 8 years. Motor function on the GMFCS and distribution on the MABC centiles (29 vs 32 centile; mean difference, −2.8; 95% CI, −9.1 to 3.5) were similar between groups. The proportions with abnormal motor function based on the MABC and definite motor dysfunction were also similar in both groups (27% vs 27%; OR, 1.16; 95% CI, 0.88 to 1.52).
There were no substantial differences between groups on any of the cognitive, academic, attention, executive function, or behavioral outcomes as indicated by the limits of the 95% confidence intervals, which represented only small differences clinically, and none of the differences reached statistical significance (Table 3). There were no statistically significant differences between groups on any of the growth, functional, or other neurosensory outcomes (Table 4).
Adjusting for the potentially confounding social variables and sex of the child had little effect and altered no conclusions (eTable 2 in Supplement 2). No conclusions were altered in the complete case analysis (eTable 3 in Supplement 2).
In this evaluation of neurological, cognitive, behavioral, growth, and functional outcomes at early school age of survivors from a large RCT, antenatal magnesium sulfate was not associated with any long-term benefits or harms compared with placebo. There was a nonsignificant reduction in mortality in the magnesium sulfate group, with the 95% confidence intervals consistent with a 38% reduction to a 3% increase in the risk of mortality compared with placebo. Importantly, only 3 of the 198 deaths overall occurred after age 2 years. Magnesium sulfate given to mothers just prior to preterm birth as neuroprotection for the fetus is one of the few therapies to offer any promise of improving neurologic outcome for preterm survivors. Given that this treatment is being introduced into clinical practice, it is important to know if there are any adverse long-term effects.
The follow-up rate of 77% of children available for follow-up was less than optimal. However, there were minimal differences between the treatment groups in perinatal or 2-year outcomes in those who were followed up at school age. The major exception was lower cognitive performance for those not assessed, which is consistent with worse cognitive function in children who are difficult to follow up.34 Importantly, no conclusions were altered after complete case analysis, giving reassurance that the less than optimal follow-up rate is unlikely to have had a large effect on the results. We are unlikely to have missed important clinical differences between treatment groups because the confidence intervals for most outcomes were relatively narrow, given our large sample size. Ideally, more randomized trials will report on long-term outcomes after magnesium sulfate to be able to add to the pool of school-age data, as has been achieved for the early childhood data, from which clear evidence supports the use of magnesium sulfate to reduce cerebral palsy.4
The absence of benefit associated with antenatal magnesium sulfate into school age from the current trial does not negate the proven value of magnesium sulfate in reducing cerebral palsy, based on the collective evidence from all of the RCTs. Within the ACTOMgSO4, the risk of cerebral palsy at age 2 years was not substantially reduced by antenatal magnesium sulfate; the only notable benefit of magnesium sulfate at the 2-year follow-up was a reduction in the proportion of children with substantial gross motor dysfunction (GMFCS level 2 or worse). The reduction in gross motor dysfunction at age 2 years with magnesium sulfate did not appear to translate into improved motor outcome at school age in the current study. Although the confidence interval for the effect of magnesium sulfate on motor function at school age was relatively narrow, with the rate of GMFCS level 2 or worse decreasing to 3.5% in the placebo group, it was unlikely we would find evidence of a reduction in the magnesium group unless the rate decreased almost to zero. It is also possible that magnesium sulfate as used in our study has no effect on school-age motor outcomes.
Apart from investigating the effects of magnesium sulfate on the motor system, we have used an extensive battery of assessments designed to detect other beneficial or harmful neurological, psychological, or other effects that might exist from exposing infants to magnesium sulfate before birth. Despite a reasonable power of finding true differences if any existed, none were found.
A limitation of the current study is that the results apply to only 1 of the known RCTs of antenatal magnesium sulfate therapy. The existing RCTs differ in patient characteristics and dosing regimens.4 It is possible that other RCTs may have different conclusions than the current study if they report school-age outcomes using similar assessment techniques. It is also possible that other RCTs might report no important long-term benefits or harms. Other strategies to determine long-term effects of magnesium sulfate include studies linking efforts to improve its uptake as a fetal neuroprotectant with long-term outcomes of the children in Australia and New Zealand.35 If the collective pooled evidence indicates no long-term gain, those who are currently using magnesium sulfate to reduce cerebral palsy might reconsider doing so. Strengths of the current study include the randomization, blinded follow-up assessments, and extensive outcome battery designed to not miss clinically important neurological effects of treatment if they existed.
Magnesium sulfate given to pregnant women at imminent risk of birth before 30 weeks’ gestation was not associated with neurological, cognitive, behavioral, growth, or functional outcomes in their children at school age, although a mortality advantage cannot be excluded. The lack of long-term benefit requires confirmation in additional studies.
Corresponding Author: Lex W. Doyle, MD, MSc, Seventh Floor, Research Precinct, The Royal Women’s Hospital, 20 Flemington Rd, Parkville, Victoria 3052, Australia (lwd@unimelb.edu.au).
Author Contributions: Dr Doyle had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.
Study concept and design: Doyle, Anderson, Crowther.
Acquisition, analysis, or interpretation of data: Doyle, Anderson, Haslam, Lee, Crowther.
Drafting of the manuscript: Doyle, Anderson.
Critical revision of the manuscript for important intellectual content: Doyle, Anderson, Haslam, Lee, Crowther.
Statistical analysis: Lee.
Obtained funding: Doyle, Anderson, Crowther.
Administrative, technical, or material support: Doyle, Anderson, Haslam, Crowther.
Study supervision: Doyle, Anderson, Haslam.
Conflict of Interest Disclosures: All authors have completed and submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest and none were reported.
Group Information: Members of the Australasian Collaborative Trial of Magnesium Sulphate (ACTOMgSO4) Collaborative Group who collaborated to acquire data for the follow-up study were Brian Darlow, MD; Nicola Austin, MBChB, DM (Christchurch Women’s Hospital, Christchurch, New Zealand); Noel French, MBChB; Catherine Campbell, BPsych, MPsych, PhD (King Edward Memorial Hospital for Women, Western Australia); Elizabeth Carse, MBBS; Marie Hayes, RN (Monash Medical Centre, Victoria); Jane Harding; Chris McKinlay, MBChB, PhD; Coila Bevan, BA (National Women’s Hospital, Auckland, New Zealand); Antonio de Paoli, MD (Royal Hobart Hospital, Tasmania); Lee Sutton, MBBS, PhD (Royal Hospital for Women, New South Wales); Ingrid Rieger, MBBS; Crista Wocadlo, PhD (Royal Prince Alfred Hospital, New South Wales); Paul Colditz, MBBS, DPhil; Margo Pritchard, BA, PhD (Royal Women’s Hospital and University of Queensland, Queensland); Peter H. Gray, MD (Mater Mother’s Hospital, Queensland); Andrew Watkins, MD; Gillian Opie, MBBS; Elaine Kelly, MA; Heather Woods, RN (Mercy Hospital for Women, Victoria); Peter J. Anderson, PhD; Catherine Callanan, RN; Noni Davis, MBBS; Lex W. Doyle, MD, MSc; Julianne Duff, BMedSci, MBBS (The Royal Women’s Hospital, Victoria); Phil Weston, MBChB (Waikato Hospital, Hamilton, New Zealand); Caroline Crowther, MD; Ross Haslam, MBBS; Pat Ashwood, BSc, BAppSc (Women’s and Children’s Hospital, South Australia).
Funding/Support: This study was funded by a project grant (350326) from the National Health and Medical Research Council Australia and the Victorian Government’s Operational Infrastructure Support Program.
Role of the Funder/Sponsor: The funding bodies had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.
1.Doyle
LW, Roberts
G, Anderson
PJ; Victorian Infant Collaborative Study Group. Outcomes at age 2 years of infants <28 weeks’ gestational age born in Victoria in 2005.
J Pediatr. 2010;156(1):49-53, e1.
PubMedGoogle ScholarCrossref 2.Duley
L, Gülmezoglu
AM, Henderson-Smart
DJ, Chou
D. Magnesium sulphate and other anticonvulsants for women with pre-eclampsia.
Cochrane Database Syst Rev. 2010;(11):CD000025.
PubMedGoogle Scholar 3.Crowther
CA, Hiller
JE, Doyle
LW. Magnesium sulphate for preventing preterm birth in threatened preterm labour.
Cochrane Database Syst Rev. 2002;(4):CD001060.
PubMedGoogle Scholar 4.Doyle
LW, Crowther
CA, Middleton
P, Marret
S, Rouse
D. Magnesium sulphate for women at risk of preterm birth for neuroprotection of the fetus.
Cochrane Database Syst Rev. 2009;(1):CD004661.
PubMedGoogle Scholar 5.Antenatal magnesium sulphate prior to preterm birth for neuroprotection of the fetus, infant and child: national clinical practice guidelines. Antenatal Magnesium Sulphate for Neuroprotection Guideline Development Panel.
http://www.nhmrc.gov.au/guidelines/publications/cp128. Accessed August 26, 2014.
6.Magee
L, Sawchuck
D, Synnes
A, von Dadelszen
P. SOGC Clinical Practice Guideline: magnesium sulphate for fetal neuroprotection.
J Obstet Gynaecol Can. 2011;33(5):516-529.
PubMedGoogle Scholar 7.Marret
S, Doyle
LW, Crowther
CA, Middleton
P. Antenatal magnesium sulphate neuroprotection in the preterm infant.
Semin Fetal Neonatal Med. 2007;12(4):311-317.
PubMedGoogle ScholarCrossref 8.Nelson
KB, Grether
JK. Can magnesium sulfate reduce the risk of cerebral palsy in very low birthweight infants?
Pediatrics. 1995;95(2):263-269.
PubMedGoogle Scholar 9.Crowther
CA, Hiller
JE, Doyle
LW, Haslam
RR; Australasian Collaborative Trial of Magnesium Sulphate (ACTOMgSO4) Collaborative Group. Effect of magnesium sulfate given for neuroprotection before preterm birth: a randomized controlled trial.
JAMA. 2003;290(20):2669-2676.
PubMedGoogle ScholarCrossref 10.Saigal
S, Doyle
LW. An overview of mortality and sequelae of preterm birth from infancy to adulthood.
Lancet. 2008;371(9608):261-269.
PubMedGoogle ScholarCrossref 11.Rickards
AL, Kitchen
WH, Doyle
LW, Kelly
EA. Correction of developmental and intelligence test scores for premature birth.
Aust Paediatr J. 1989;25(3):127-129.
PubMedGoogle Scholar 12.Wilson-Ching
M, Pascoe
L, Doyle
LW, Anderson
PJ. The effects of correcting for prematurity on cognitive test scores in childhood.
J Paediatr Child Health. 2014;50(3):182-188.
PubMedGoogle ScholarCrossref 13.Palisano
R, Rosenbaum
P, Walter
S, Russell
D, Wood
E, Galuppi
B. Development and reliability of a system to classify gross motor function in children with cerebral palsy.
Dev Med Child Neurol. 1997;39(4):214-223.
PubMedGoogle ScholarCrossref 14.Henderson
SE, Sugden
DA. Movement Assessment Battery for Children. Sidcup, Kent: Psychological Corp; Harcourt Brace Jovanovich; 1988.
15.Henderson
SE, Sugden
DA, Barnett
A. Movement Assessment Battery for Children.2nd ed. Sidcup, Kent: Harcourt Assessment; 2007.
16.Wechsler
D. WISC-IV: Administration and Scoring Manual. San Antonio, TX: Psychological Corp; 2003.
17.Wilkinson
G. WRAT3 Wide Range Achievement Test. Wilmington, VA: Wide Range; 1993.
18.Mulder
H, Pitchford
NJ, Hagger
MS, Marlow
N. Development of executive function and attention in preterm children: a systematic review.
Dev Neuropsychol. 2009;34(4):393-421.
PubMedGoogle ScholarCrossref 19.Anderson
PJ, De Luca
CR, Hutchinson
E, Spencer-Smith
MM, Roberts
G, Doyle
LW; Victorian Infant Collaborative Study Group. Attention problems in a representative sample of extremely preterm/extremely low birth weight children.
Dev Neuropsychol. 2011;36(1):57-73.
PubMedGoogle ScholarCrossref 20.Manly
T, Robertson
I, Anderson
V, Nimmo-Smith
I. The Test of Everyday Attention for Children. Suffolk, UK: Thames Valley Test Co; 1999.
21.Rey
A. Psychological examination of traumatic encephalopathy [in French].
Arch Psychol. 1941;28:286-340.
Google Scholar 22.Rey
A. Psychological examination of traumatic encephalopathy [translation].
Clin Neuropsychol. 1993;7:3-21.
Google ScholarCrossref 23.Osterrieth
P. The complex figure copy test [in French].
Arch Psychol. 1944;30:206-256.
Google Scholar 25.Gioia
G, Isquith
P, Guy
S. Assessment of executive functions in children with neurological impairment. In: Simeonsson
R, Rosenthal
S, eds. Psychological and Developmental Assessment: Children With Disabilities and Chronic Conditions. New York, NY: Guildford Press; 2001:317-356.
26.Conners
C. Conners' Teacher Rating Scales–Revised. North Tonawanda, NY: Multi-Health Systems; 1997.
27.Goodman
A, Goodman
R. Strengths and difficulties questionnaire as a dimensional measure of child mental health.
J Am Acad Child Adolesc Psychiatry. 2009;48(4):400-403.
PubMedGoogle ScholarCrossref 28.Cole
TJ, Freeman
JV, Preece
MA. British 1990 growth reference centiles for weight, height, body mass index and head circumference fitted by maximum penalized likelihood.
Stat Med. 1998;17(4):407-429.
PubMedGoogle ScholarCrossref 29.Saigal
S, Rosenbaum
P, Stoskopf
B,
et al. Comprehensive assessment of the health status of extremely low birth weight children at eight years of age: comparison with a reference group.
J Pediatr. 1994;125(3):411-417.
PubMedGoogle ScholarCrossref 30.Waters
E, Salmon
L, Wake
M, Hesketh
K, Wright
M. The Child Health Questionnaire in Australia: reliability, validity and population means.
Aust N Z J Public Health. 2000;24(2):207-210.
PubMedGoogle ScholarCrossref 31.Roberts
G, Anderson
PJ, Doyle
LW; Victorian Infant Collaborative Study Group. Neurosensory disabilities at school age in geographic cohorts of extremely low birth weight children born between the 1970s and the 1990s.
J Pediatr. 2009;154(6):829-834.
PubMedGoogle ScholarCrossref 32.Roberts
G, Anderson
PJ, De Luca
C, Doyle
LW; Victorian Infant Collaborative Study Group. Changes in neurodevelopmental outcome at age eight in geographic cohorts of children born at 22-27 weeks’ gestational age during the 1990s.
Arch Dis Child Fetal Neonatal Ed. 2010;95(2):F90-F94.
PubMedGoogle ScholarCrossref 33.Bayley
N. Bayley Scales of Infant Development.2nd ed. San Antonio, TX: Psychological Corp; 1993.
34.Callanan
C, Doyle
L, Rickards
A, Kelly
E, Ford
G, Davis
N. Children followed with difficulty: how do they differ?
J Paediatr Child Health. 2001;37(2):152-156.
PubMedGoogle ScholarCrossref 35.Crowther
CA, Middleton
PF, Bain
E,
et al; WISH Project Team. Working to improve survival and health for babies born very preterm: the WISH Project protocol.
BMC Pregnancy Childbirth. 2013;13:239.
PubMedGoogle ScholarCrossref