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. 2012 Mar;129(3):494–502. doi: 10.1542/peds.2011-1796

Antenatal Antecedents of Cognitive Impairment at 24 Months In Extremely Low Gestational Age Newborns

Jennifer B Helderman a,, Thomas M O’Shea a, Karl C K Kuban b, Elizabeth N Allred c, Jonathan L Hecht d, Olaf Dammann e, Nigel Paneth f, T F McElrath g, Andrew Onderdonk h, Alan Leviton, for the ELGAN study Investigatorsc
PMCID: PMC3289523  PMID: 22331342

Abstract

BACKGROUND AND OBJECTIVES:

Extremely low gestational age neonates are more likely than term infants to develop cognitive impairment. Few studies have addressed antenatal risk factors of this condition. We identified antenatal antecedents of cognitive impairment determined by the Mental Development Index (MDI) portion of the Bayley Scales of Infant Development, Second Edition (BSID-II), at 24 months corrected age.

METHODS:

We studied a multicenter cohort of 921 infants born before 28 weeks of gestation during 2002 to 2004 and assessed their placentas for histologic characteristics and microorganisms. The mother was interviewed and her medical record was reviewed. At 24 months adjusted age, children were assessed with BSID-II. Multinomial logistic models were used to estimate odds ratios.

RESULTS:

A total of 103 infants (11%) had an MDI <55, and 99 infants (11%) had an MDI between 55 and 69. No associations were identified between organisms recovered from the placenta and developmental delay. Factors most strongly associated with MDI <55 were thrombosis of fetal vessels (OR 3.1; 95% confidence interval [CI] 1.2, 7.7), maternal BMI >30 (OR 2.0; 95% CI 1.1, 3.5), maternal education ≤12 years (OR 3.4; 95% CI 1.9, 6.2), nonwhite race (OR 2.2; 95% CI 1.3, 3.8), birth weight z score < −2 (OR 2.8; 95% CI 1.1, 6.9), and male gender (OR 2.7; 95% CI 1.6, 4.5).

CONCLUSIONS:

Antenatal factors, including thrombosis of fetal vessels in the placenta, severe fetal growth restriction, and maternal obesity, convey information about the risk of cognitive impairment among extremely premature newborns.

KEY WORDS: prematurity, placenta, chorioamnionitis, fetal growth restriction, mental development


What's Known on this Subject:

Among extremely premature infants, survival has improved, but the rate of cognitive impairment has not. Impaired cognition is the most frequent developmental problem identified in survivors. Several antenatal factors have been associated with cognitive impairment, mostly related to social disadvantage.

What This Study Adds:

In addition to social disadvantage, antenatal characteristics associated with cognitive impairment include maternal obesity and thrombosis of fetal stem vessels. Prenatal infection and inflammation were not associated with impaired early cognitive function among extremely preterm infants.

Among extremely low gestational age newborns (ELGANs), the survival rate improved during the 1990s, but the rate of low scores on assessments of cognition did not.1,2 Cognitive impairment is the most frequent developmental problem identified in extremely premature survivors.35 Impaired early cognitive function, assessed with the Bayley Scales of Infant Development (BSID), is moderately predictive of cognitive function at school age.6

Antenatal factors associated with cognitive limitations in ELGANs include unmarried mother,7 minority race,5 fewer years of education,5 lack of antenatal steroid exposure,5,8 maternal smoking during pregnancy,8 and preeclampsia.9 Most previous studies relied on samples defined by birth weight,1015 which distorts associations with factors that influence birth weight,16 whereas some relied on small samples,9,11,17 and none focused on detailed data about prenatal factors.

METHODS

The ELGAN Study

The ELGAN study was designed to identify characteristics and exposures that increase the risk of structural and functional neurologic disorders in ELGANs.18 During 2002 to 2004, women delivering before 28 weeks of gestation at 1 of 14 participating institutions in 11 cities in 5 states were asked to enroll in the study. The enrollment and consent processes were approved by the individual institutional review boards.

Mothers were approached for consent either on antenatal admission or shortly after delivery, depending on clinical circumstance and institutional preference. A total of 1249 mothers of 1506 infants consented. Approximately 260 women were either missed or did not consent to participate.

Demographic and Pregnancy Variables

After delivery, a trained research nurse interviewed each mother in her native language by using a structured data collection and following procedures contained in a manual. The mother’s report of her own characteristics and exposures, as well as the sequence of events leading to preterm delivery was taken as truth, even when her medical record provided discrepant information.

Shortly after discharge, the research nurse reviewed the maternal chart by using a second structured data collection form to collect information about events after admission. The clinical circumstances that led to each maternal admission and ultimately to each preterm delivery were operationally defined.19 A course of antenatal adrenal corticosteroids given to enhance fetal lung maturation was considered complete if the gravida received 2 doses of betamethasone 24 hours apart and delivered at least 48 hours after the first dose, or if she received 4 doses of dexamethasone at 12-hour intervals. Neonatal data were collected from the newborn’s medical record.

Variable Definitions

The gestational age estimates were based on a hierarchy of the quality of available information. Most desirable were estimates based on the dates of embryo retrieval or intrauterine insemination or fetal ultrasound before the 14th week (62%). When these were not available, reliance was placed sequentially on a fetal ultrasound at 14 or more weeks (29%), last menstrual period without fetal ultrasound (7%), and gestational age recorded in the log of the NICU (1%). The birth weight z score is the number of standard deviations the infant’s birth weight is above or below the median weight of infants at the same gestational age in a standard data set.20 The 6 initiators of preterm delivery, preterm labor, prelabor rupture of the fetal membranes, placental abruption, cervical insufficiency, preeclampsia, and delivery for fetal indications, are defined elsewhere.19

Placentas

All who biopsied the placenta were trained to ensure sterile technique. A piece of the chorion and underlying trophoblast tissue was removed under sterile conditions from the placenta at the midpoint of the longest distance between the cord insertion and the edge of the disk, and then placed in liquid nitrogen until transfer to a –80°C freezer. Eighty-two percent of the placentas were sampled within 1 hour of delivery. The microorganism recovery rate was not influenced by the interval between birth and sampling. The microbiologic procedures are described in detail elsewhere,21 as are the procedures for the preparation and reading of histologic slides.22

Fetal thrombi were recognized when fibrin was seen attached to a vessel wall with ingrowth of endothelial cells. This degree of organization excludes acute thrombi, but there are no accepted criteria for assigning an exact age to these thrombi. Villous injury was not required for the diagnosis of thrombi. Not all thrombi were occlusive. Many, but not all thrombi, were associated with demonstrable villous injury, such as hemorrhage or sclerosis, but villous injury was not explicitly coded.

Level 3 severity of chorionic plate inflammation was defined as >20 neutrophils/20×. Grade 3 inflammation of the amnion was defined as numerous large or confluent foci, whereas grade 4 was defined as necrosis. Inflammation in the chorion/decidua was similarly, but separately, graded.

Inflammation in the umbilical cord was graded from 0 to 5. Grade 3 required neutrophils in perivascular Wharton jelly, grade 4 required panvasculitis and umbilical cord vasculitis extending deep into Wharton jelly, and grade 5 required a “halo lesion” (ring of precipitate in Wharton jelly encircling each vessel). Neutrophilic infiltration into fetal stem vessels in the chorionic plate required that neutrophils appeared to have migrated toward the amnionic cavity.

Developmental Assessment at 24 Months

Families were invited to bring their child for a developmental assessment close to the time when he or she would be 24 months corrected age. Fully 91% of children had this developmental assessment, which included a neurologic examination19,23,24 and the BSID, second edition (BSID-II).25 Of these children, 77% had their examination within the range of 23.5–27.9 months. All BSID-II assessments were age adjusted. Neurologic examiners were asked to rate the child on the Gross Motor Function Classification System (GMFCS)26 separately from the neurologic examination.

Certified examiners administered and scored the BSID-II. Before testing, examiners were told the child's age. After completion of testing, they were told the gestational age so that the unadjusted Mental Development Index (MDI) and Psychomotor Development Index could be obtained. Only 2% of examiners indicated at the time of the examination that they had more than a limited amount of information about the child.

Cognitive impairment was defined as an MDI <70. An MDI <55 was considered severe cognitive impairment.

The child was classified as nontestable on a scale if his or her impairments prohibited standardized administration, or if >2 items were judged to be “not applicable.”

Data Analysis

The generalized form of the null hypothesis that we evaluated states that the risk of a low BSID-II score is not associated with any maternal, pregnancy, or delivery characteristic. To avoid attributing cognition and perception deficits to motor impairments, we limited our analyses to children who were able to walk independently (GMFCS <1), and who, therefore, were unlikely to have functionally important fine-motor impairments.

Because our outcomes of interest (MDI <55 and MDI between 55 and 69) are mutually exclusive and each is appropriately compared with the same referent group (MDI ≥70), we used maximum-likelihood multinomial (polytomous) logistic regression (Stata command: mlogit; Stata Corp, College Station, TX) to calculate odds ratios. We selected variables as potential confounders if identified in the literature or if in our data they were associated with both another relevant exposure and low MDI with probabilities ≤0.25.27

To adjust for potential confounders, we created 2 individual conditional logistic multivariable models, each comparing children in 1 of the 2 abnormal outcome groups to the same referent group (ie, those with MDI ≥70). These models contained a hospital cluster term to account for the possibility that infants born at a particular hospital are more like each other than like infants born at other hospitals.

RESULTS

A total of 1200 infants survived to 24 months and 85% of surviving study participants were assessed with BSID-II and GMFCS (Fig 1). After excluding those with impaired gross motor function (GMFCS ≥1), 921 were included in the analyses described in this article. Placenta microbiology and histology were available for 85% (n = 783) of these 921 infants.

FIGURE 1.

FIGURE 1

Study participants who contributed data to the present analysis among the 1506 newborns enrolled in the Extremely Low Gestational Age Newborn Study.

Maternal Prepregnancy Characteristics

Infants whose mother was black, single, or eligible for public insurance were at increased risk of MDI <55, as were infants whose mother had less than a high school equivalent education, or a prepregnancy BMI of >30 (Table 1).

TABLE 1.

Risks of MDI Scores Associated With Social and Demographic Characteristics of the Mother

Maternal Characteristics <55 55–69 ≥70 Row N
Racial identity White 7 8 85 545
Black 20 15 65 242
Other 13 16 71 119
Hispanic Yes 17 13 70 108
No 11 10 79 808
Age <21 14 12 74 125
21–35 11 11 78 618
>35 10 10 80 178
Years of education <12 28 12 60 142
12 (high school) 11 15 75 232
>12 to <16 8 10 80 201
16 (college) 7 6 86 176
>16 4 8 88 138
Marital status Single 16 14 70 379
Married 8 9 83 542
Self and/or partner Yes 10 11 79 800
support No 20 11 69 101
Public insurance Yes 17 15 69 336
No 8 9 86 566
Prepregnancy BMI <18.5 9 6 85 66
18.5 to <25 9 11 80 452
25 to <30 11 9 80 183
>30 16 14 70 184
Maximum number of infants 103 99 719 921
Percent 11 11 78

These are row percents.

Pregnancy Characteristics and Exposures

Of all the factors listed in Table 2, only assisted conception was associated with a decreased risk of MDI <55.

TABLE 2.

Risks of MDI Scores Associated With Pregnancy Characteristics and Exposures During Pregnancy

Pregnancy Characteristics <55 55–69 ≥70 Row N
Smoking prepregnancy Yes 14 12 75 212
No 11 11 79 685
Smoking during pregnancy Yes 12 15 73 117
No 11 10 79 781
Passive smoking Yes 14 9 77 212
No 11 11 78 683
Years since last pregnancy <1 8 15 77 107
1–2 14 15 71 144
2+ 15 12 73 267
Conception assistance Yes 6 8 87 197
No 13 12 75 698
No. of prenatal visits 10+ 9 14 77 619
< 10 12 10 78 273
Vaginal bleeding Yes 9 11 80 361
 during 1st 12 wk No 13 11 76 534
Vaginal bleeding Yes 8 11 81 261
 after 12 wk No 13 11 77 634
Fever during pregnancy Yes 9 12 79 58
No 11 11 78 837
Vaginal/cervical infection Yes 14 14 72 113
No 11 10 79 782
Urinary tract infections Yes 8 13 79 134
No 12 10 75 761
Highest white blood cell counta >20 K 9 4 88 187
≤20 K 12 13 75 715
Any medication Yes 12 11 78 786
No 9 13 78 108
Aspirin Yes 15 11 71 46
No 11 11 78 846
Nonsteroidal anti-inflammatory drugs Yes 9 12 79 57
No 12 11 78 834
Acetaminophen Yes 9 9 82 453
No 14 12 74 438
Antibiotic Yes 11 13 77 265
No 12 10 78 627
Maximum no. of infants 103 99 719 921
Percent 11 11 78

These are row percents.

a

Within the interval from before delivery to 48 h after delivery.

Delivery Characteristics

The highest risks of MDI <55 were found with shorter duration of labor and when infants were delivered for fetal indications or for maternal preeclampsia, and the lowest risk was found when delivery was due to placental abruption (Table 3).

TABLE 3.

Risks of MDI Scores Associated With Delivery Characteristics

Delivery Characteristics <55 55–69 ≥70 Row N
Number of fetuses 1 12 10 78 609
2+ 9 12 79 312
Antenatal steroids Complete course 12 11 77 593
Partial course 9 12 79 234
None 11 9 81 94
Magnesium For tocolysis 11 10 80 503
For PE 15 12 74 121
No 10 13 77 288
Cesarean delivery Yes 10 10 80 618
No 14 12 74 303
Initiator of delivery PTL 9 11 80 414
pPROM 14 9 76 202
Preeclampsia 16 11 74 121
Abrupt 5 11 84 101
Cervical insufficiency 15 10 75 48
Fetal indication 17 20 63 35
Duration of labor 0 h 13 12 74 227
≤12 h 17 9 74 211
>12 h 8 11 82 483
Duration of ROM <1 h 11 11 78 539
1–24 h 10 10 79 144
>24 h 12 11 78 238
Maximum no. of infants 103 99 719 921
Percent 11 11 78

These are row percents. preeclampsia (PE),; prolonged preterm rupture of membranes (pPROM),; preterm labor (PTL),; rupture of membranes (ROM).

Placental Cultures and Histologic Findings

Placental inflammation and presence of microorganisms were not associated with low MDI. The only placental finding associated with low MDI was thrombosis of fetal stem vessels; however, there were only 40 infants with this exposure (Tables 4 and 5).

TABLE 4.

Risks of MDI Scores Associated With Organisms Cultured From the Placenta

Organisms <55 55–69 ≥70 Row N
Total sample
 No. of organisms isolated 0 11 10 79 435
1 10 11 78 201
2+ 11 11 78 198
 Any anaerobe Yes 8 10 81 224
No 12 11 77 610
 Any aerobe Yes 13 11 76 260
No 10 11 79 574
 Any Mycoplasma Yes 15 12 72 85
No 10 11 79 749
 Skin organismsa Yes 10 11 79 154
No 11 11 78 680
 Vaginal organismsb Yes 10 12 78 132
No 11 11 78 702
 Maximum no. of infants 91 90 653 834
 Percent 11 11 78
Cesarean delivery sample
 No. of organisms isolated 0 11 11 78 333
1 8 9 83 142
2+ 10 9 81 81
 Any anaerobe Yes 5 10 84 116
No 11 10 79 440
 Any aerobe Yes 12 7 81 129
No 9 11 80 427
 Any Mycoplasma Yes 10 10 80 41
No 10 10 80 515
 Skin organismsa Yes 7 12 81 69
No 10 10 80 487
 Vaginal organismsb Yes 7 11 82 55
No 10 10 80 501
 Maximum no. of infants 55 57 444 556
 Percent 10 10 80

These are row percents.

a

Corynebacterium sp, Propionebacterium sp, Staphylococcus sp.

b

Prevotella bivia, Lactobacillus sp, Peptostreptococcus magnus, Gardnerella vaginalis.

TABLE 5.

Risks of MDI Scores Associated With Histologic Characteristics of the Placenta, Total Sample

Histologic Characteristic < 55 55–69 ≥70 Row N
Inflammation chorionic platea Yes 9 12 79 159
No 11 11 78 679
Inflammation external Yes 12 10 78 295
membranesb No 11 12 78 547
Neutrophil infiltration fetal stem Yes 12 10 78 209
vessels No 10 11 78 621
Umbilical cord vasculitisc Yes 11 13 76 137
No 11 11 79 682
Thrombosis of fetal stem vessels Yes 23 5 73 40
No 10 11 79 789
Infarct Yes 9 15 75 142
No 11 10 78 705
Increased syncytial knots Yes 12 14 74 174
No 11 10 79 676
Decidual hemorrhage/ Yes 11 12 77 129
Fibrin deposition No 11 10 78 708
Maximum no. of placentas 94 94 669 857
Percent 11 11 78

These are row percents.

a

Stage 3 and severity 3.

b

Grades 3 and 4.

c

Grades 3, 4, and 5.

Infant Characteristics

The risk of MDI <55 decreased with increasing gestational age, birth weight, birth weight z score, and head circumference z score. Boys were also at moderately higher risk than girls of MDI <55 (Table 6).

TABLE 6.

Risks of MDI Scores Associated With Characteristics of the Infants

Characteristics of the Infant <55 55–69 ≥70 Row N
Gender Male 15 13 72 472
Female 8 8 84 449
Gestational 23–24 15 11 74 163
Age, wk 25–26 12 10 78 435
27 8 11 80 323
Birth weight, g ≤750 14 13 73 318
751–1000 11 10 79 421
>1000 5 10 85 182
Birth weight < –2 22 14 68 51
z scorea ≥ –2, < –1 15 12 73 123
≥ –1 10 10 80 747
Head < –2 21 10 70 73
circumference ≥ –2, < –1 14 14 72 207
z scorea ≥ –1 9 18 81 609
Maximum number of infants 103 99 719 921
Percent 11 11 78

These are row percents.

a

Birth weight and head circumference z scores based on Yudkin et al20 standard.

Multivariable Analyses

In multivariable models that included the total sample, heightened risk of MDI <55 was predicted by nonwhite race, maternal education <12 years, maternal BMI >30, male gender, and birth weight z score >2 SDs below the mean. When the sample was limited to children for whom we had information about histologic characteristics, the same variables were predictive of MDI <55, whereas thrombosis of fetal vessels provided additional information about increased risk (odds ratio 3.1, 95% confidence interval [CI] 1.2, 7.7). For both total sample and the histology-limited sample, the only significant risk factors for MDI 55 to 69 were male and nonwhite race. Multinomial models without a hospital cluster term provided results that were very similar to those provided by individual logistic regression models that included a hospital cluster term (Table 7).

TABLE 7.

Multivariable Analysis of Variables Associated With Low MDI

Variables <55 55–69
Total sample (n = 921)
 Gestational age 23–24 wk 1.9 (0.97, 3.6) 1.0 (0.5, 1.9)
 Gestational age 25–26 wk 1.2 (0.7, 2.1) 0.8 (0.5, 1.3)
 Single mother 1.3 (0.7, 2.2) 1.2 (0.7, 2.1)
 BMI >30 1.9 (1.1, 3.1)a 1.3 (0.9, 2.3)
 Vaginal/cervical infection 1.2 (0.6, 2.2) 1.4 (0.8, 2.6)
 Cesarean delivery 0.8 (0.5, 1.2) 0.8 (0.5, 1.4)
 BWZ < –2 2.2 (1.5, 7.5)a 1.9 (0.7, 4.8)
 Male 2.5 (1.6, 4.1)a 2.0 (1.3, 3.2)a
 Nonwhite race 2.3 (1.4, 3.8)a 2.1 (1.3, 3.5)a
 Mother's education <12 y 2.8 (1.6, 4.9)a 0.9 (0.5, 1.8)
 Mother's education >16 y 0.8 (0.4, 1.5) 0.7 (0.4, 1.2)
Total histology/BSID sample (n = 857)
 Gestational age 23–24 wk 1.9 (0.9, 3.9) 1.1 (0.6, 2.1)
 Gestational age 25–26 wk 1.1 (0.6, 2.0) 0.8 (0.4, 1.3)
 Single mother 1.2 (0.7, 2.2) 1.2 (0.7, 2.0)
 BMI >30 2.0 (1.1, 3.5)a 1.2 (0.7, 2.1)
 Vaginal/cervical infection 1.2 (0.6, 2.4) 1.4 (0.7, 2.7)
 Cesarean delivery 0.9 (0.5, 1.5) 0.9 (0.5, 1.5)
 BWZ < –2 2.8 (1.1, 6.9)a 1.9 (0.7, 5.0)
 Male 2.7 (1.6, 4.5)a 2.1 (1.3, 3.4)a
 Thrombosis fetal vessels 3.1 (1.2, 7.7)a 0.6 (0.1, 2.5)
 Increased syncytial knots 1.4 (0.8, 2.5) 1.5 (0.9, 2.5)
 Nonwhite race 2.2 (1.3, 3.8)a 2.2 (1.3, 3.7)a
 Mother's education <12 y 3.4 (1.9, 6.2)a 1.1 (0.6, 2.2)
 Mother's education >16 y 0.7 (0.4, 1.4) 0.7 (0.4, 1.3)

Risk ratios and 95% CIs. The referent group is infants with MDI ≥70. BWZ, birthweight z score.

a

p < .05.

Discussion

Three maternal attributes (obesity, nonwhite race, and maternal education) and 1 placental finding (thrombosis of fetal stem vessels) were associated with impaired early cognitive function in extremely preterm infants. Neonatal predictors of such impairment were birth weight z score < –2 (ie, below the third centile) and male gender. In general, stronger associations were found for MDI <55 than for MDI 55 to 69.

Our finding that male gender was predictive of impaired early cognitive function agrees with most5,28 but not all29 studies of extremely preterm infants.28,30,31 The mechanisms for this association are not well understood. Boys born prematurely have a greater risk of morbidities, such as cerebral white matter damage and chronic lung disease, and gender differences in brain structure and response to injury might also be important.32

In our multivariable regression models, fetal growth restriction is a predictor of an MDI <55, while not predicting a less severely low MDI. Others, too, have found that growth-restricted infants are at increased risk of cognitive limitations.33,34 One explanation invokes placental dysfunction, which can restrict placental transfer of substrates for brain development.35 An alternative explanation is that fetal growth restriction increases the risk of neonatal complications36,37 that are more proximally related to cognitive impairment.38

Children who experience a major postnatal infection (including bacteremia and necrotizing enterocolitis) are more likely than others to have cerebral white matter injury39 and cognitive impairment.15,17 Perinatal inflammation, as evidenced by chorioamnionitis, is also a risk factor for white matter injury and cerebral palsy.40 We, however, did not find any evidence that antenatal inflammation predicts cognitive impairment.

The only histologic characteristic of the placenta associated with cognitive impairment was thrombosis of fetal stem vessels, which is considered a lesion of uteroplacental circulation and has been associated with adverse neonatal outcomes.41 In addition to stillbirth,42 perinatal liver disease,43 and intrauterine growth restriction in monochorionic twins,44 fetal vessel thrombosis has been linked to adverse neurologic outcomes, including neonatal encephalopathy45 and neonatal stroke.46 In the ELGAN cohort, it has been associated with ventriculomegaly of the offspring,47 which, in turn, is associated with low MDI.4

One antecedent that we identified, maternal obesity, is of particular interest because it is potentially modifiable and its prevalence is increasing.48 Although maternal obesity is predictive of higher maternal blood levels of C-reactive protein49 and interleukin-6,50 we found no indirect evidence to support a link between maternal inflammation, as indicated by placental findings and initiators of preterm delivery, and subsequent impaired infant cognitive function. Maternal obesity is associated with multiple complications of pregnancy51 and with perinatal mortality.5255 Perhaps most relevant to our study is the association with fetal growth restriction.19,56 In addition, obesity is linked to chronic illnesses57,58 and social disadvantage,59 which might affect the mother-infant interaction and the resources available to enhance the home environment.

The association of assisted conception with a low MDI, seen in univariable analyses, was no longer significant in multivariable analyses. The most likely explanation is that the risk information provided by the assisted conception variable is more strongly conveyed by 2 other correlates of socioeconomic status: race and education.

We are not aware of any other large prospective studies relating early cognitive functioning in extremely preterm infants to placental findings or initiators of preterm delivery. A potential limitation of this study is that MDI <55 is only moderately predictive of cognitive impairment at school age.60 The strengths of this prospective study include the large number of infants, selection of participants based on gestational age rather than birth weight, and evaluations by individuals who were not aware of infants’ medical or social histories.

This study has implications for efforts to prevent cognitive impairment among extremely premature infants. One antecedent identified here, maternal obesity, is potentially modifiable during the preconception period and pregnancy. The prevalence of another antecedent, fetal growth restriction, could be decreased by interventions to prevent severe preeclampsia, which occurred in 13% of our sample of extremely preterm infants.

To what extent the cognitive adversities associated with fetal growth restriction reflect postnatal phenomena (especially those associated with chronic lung disease) remains unclear. Postnatal disorders appear to be involved in explaining some of the relationship between chronic lung disease and impaired development.7 If the occurrence of these disorders can be minimized, then there is hope that the influence of fetal growth restriction on cognitive deficiencies can be reduced.

CONCLUSIONS

Antenatal characteristics associated with impaired mental development include maternal BMI >30, nonwhite race, maternal education, thrombosis of fetal stem vessels, and male gender. Our findings do not support an important role of prenatal infection or inflammation in the development of impaired early cognitive function among extremely preterm infants.

Acknowledgments

Participating institutions (site principal investigators, pathologists, and developmentalists): Baystate Medical Center, Springfield, MA (Bhavesh Shah, Solveg Pflueger, Susan McQuiston, Herbert Gilmore, Karen Christianson); Beth Israel Deaconess Medical Center, Boston, MA (Camilia R. Martin, Jonathan Hecht, Alaska Morgan, Haim Bassan, Cecil Hahn, Samantha Butler, Adre Duplessis, Colleen Hallisey); Brigham & Women's Hospital, Boston, MA (Linda J. Van Marter); Children’s Hospital, Boston, MA (Alan Leviton); Massachusetts General Hospital, Boston, MA (Robert Insoft, Drucilla Roberts, Kalpathy Krishnamoorthy, Maureen Quill); Floating Hospital for Children at Tufts Medical Center, Boston, MA (Cynthia Cole/John Fiascone, Ina Bhan, Cecelia Keller, Karen Miller, Page Church, Caitlyn Hurley); University of Massachusetts Memorial Health Center, Worcester, MA (Francis Bednarek, Gamze Ayata, Robin Adair, Alice Miller, Rick Bream, Albert Scheiner, Beth Powers); Yale-New Haven Hospital, New Haven, CT (Richard Ehrenkranz, Miguel Reyes-Múgica, Eduardo Zambrano, Vinita Parkas, Cindy Miller, Elaine Romano, Nancy Close, Linda Mayes, Joanne Williams); Wake Forest University Baptist Medical Center and Forsyth Medical Center, Winston-Salem, NC (T. Michael O’Shea, Dennis W. Ross, Gail Hounshell, Don Goldstein, Lisa Washburn, Cherrie Heller, Robert Dillard, Debbie Hiatt, Deborah Allred); University Health Systems of Eastern Carolina, Greenville, NC (Stephen Engelke, John Christie, Kathyrn Kerkering, Steve Engelke, Lynn Whitley, Rebecca Helms, Peter Resnik); North Carolina Children's Hospital, Chapel Hill, NC (Carl Bose, Chad Livasy, Diane Marshall, Lisa Bostic, Janice Wereszczak, Mandy Taylor, Carol Torres, Kristi Milowic, Ginny Bose); DeVos Children's Hospital, Grand Rapids, MI (Mariel Portenga, Barbara Doss, Lynn Fagerman, Steve Pasynrnak, Victoria Caine, Wendy Burdo-Hartman, Dianah Sutton); Sparrow Hospital, Lansing, MI (Padmani Karna); Michigan State University, East Lansing, MI (Nigel Paneth, Madeleine Lenski, Nicholas Olomu, Padu Karna, Victoria Caine, Joan Price); University of Chicago Hospital, Chicago, IL (Michael D. Schreiber, Aliya Husain, Sunila O'Connor, Michael Msall, Susan Plesha-Troyke, Leslie Caldarelli, Grace Yoon); William Beaumont Hospital, Royal Oak, MI (Daniel Batton, Chung-ho Chang, Karen Brooklier, Katie Solomon, Dan Batton, Melisa Oca, Beth Kring); and pathologists not at participating sites (Harvey Kliman, Pat Senagore).

The authors gratefully acknowledge the contributions of our subjects and their families, as well as those of our colleagues.

Glossary

BSID-II

Bayley Scales of Infant Development, second edition

CI

confidence interval

ELGAN

extremely low gestational age newborn

GMFCS

Gross Motor Function Classification System

MDI

Mental Development Index

OR

odds ratio

Footnotes

FINANCIAL DISCLOSURE: The authors have indicated they have no financial relationships relevant to this article to disclose.

FUNDING: Supported by a cooperative agreement with The National Institute of Neurologic Disorders and Stroke (NINDS) (5U01NS040069-05). Funded by the National Institutes of Health (NIH).

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