Abstract
Background:
Exposure to maternal stress in utero negatively impacts cognitive and behavioral outcomes of children born at term. The neonatal intensive care unit (NICU) can be stressful for preterm infants during a developmental period corresponding to the third trimester of gestation. It is unknown whether stress in the NICU contributes to adverse neurodevelopment among NICU graduates.
Objective:
To examine the association between salivary cortisol and early neurodevelopment in preterm infants.
Design/Methods:
We examined the association between cortisol levels during the NICU hospitalization and subsequent performance on the NICU Network Neurobehavioral Scales (NNNS), estimating time-specific associations and considering sex differences.
Results:
840 salivary cortisol levels were measured from 139 infants. Average cortisol levels were inversely associated with NNNS Regulation scores for both male and female infants (β=−0.19; 95% CI: −0.44, −0.02). Critical developmental windows based on postmenstrual age were identified, with cortisol measured < 30 weeks PMA positively associated with Habituation and Lethargy scores (β=0.63–1.04). Critical developmental windows based on chronological age were identified, with cortisol measured in the first week of life inversely associated with Attention score (β=−1.01 for females; −0.93 for males).
Conclusion(s):
Stress in the NICU at specific developmental time points may impact early preterm infant neurodevelopment.
INTRODUCTION
Advances in obstetric and neonatal intensive care practices have led to dramatic increases in survival of preterm infants1–3 over the past fifty years. However, preterm infants are subject to elevated risk of multiple types of long-term morbidities, particularly neurodevelopmental disorders4, including behavioral difficulties5, motor deficits6, cerebral palsy7, and seizure disorders8–9. Neurodevelopmental disorders of preterm infants also result in tremendous economic losses10. Significantly, there is no cure for most neurodevelopmental disorders. Both primary prevention and early detection that can lead to more effective treatment are therefore crucial11.
Although a large number of studies focused on preterm infant neurodevelopment have identified risk factors for adverse outcomes12–14, few have focused on the reduction of environmental stress in the neonatal intensive care unit (NICU). Both the built environment (e.g., light and sound) and NICU care practices that may cause pain and stress are known to activate the hypothalamic–pituitary–adrenal axis (HPA axis). Animal and human studies have found that short-term pain experienced early in life can alter neurodevelopmental and behavioral outcomes later in life15. A review article16 summarized the small number of studies focused on the association between individual components of the NICU environment (e.g., chemical exposures, light, and sound) and preterm infant neurodevelopmental outcome. The review concluded that NICU stressors such as chemical exposure, excess light, and loud noise negatively impact preterm infant neurodevelopment. Specifically, reduced exposure to bright light is associated with improved motor function and reduced exposure to noise is associated with less fussy behavior16. To date, only small studies have evaluated the impact of individual components of the NICU environment on preterm infant neurodevelopment. To our knowledge, the biologic response to concurrent exposure to multiple NICU stressors has not been addressed.
Cortisol, a biomarker of HPA activation and stress response, has been extensively used as a measure of biologic response to diverse environmental stressors. The concentration of cortisol in saliva is highly correlated with plasma cortisol level17. Salivary cortisol has a short half-life17, and has previously been validated as a biomarker of acute exposure of environmental stress in preterm infants18. Cortisol has previously been used in studies of the impact of stress on neurodevelopment in non-premature infant populations19–21. To our knowledge, studies evaluating stress biomarker levels during the NICU stay, a period with intensive stress exposure, and neurobehavioral outcomes among preterm infants are lacking.
It has been shown in non-NICU populations that the association between environmental stress exposure and neurodevelopment can be altered by sex due to substantial differences in stress response22 and risk of neurodevelopmental disorders4 between males and females. Specifically, associations between maternal stress during pregnancy and offspring neurodevelopmental outcome in early to middle childhood are different based on offspring sex, although no consensus exists on which sex is more susceptible19, 23–29. For example, stress-exposed girls appear to have worse cognitive performance23, 25–28, and stress-exposed boys appear to have an elevated risk of attention deficit/hyperactivity disorder (ADHD)24, 29. One group demonstrated a sexual dimorphism in the association between stress biomarkers (salivary cortisol and alpha-amylase) measured at 14-months old and multiple neurodevelopment outcomes at four years old23. Another small study reported that former preterm infants had a higher waking cortisol concentration and exaggerated response to stress compared to full-term children, with differences more pronounced among girls than boys30. Evidence in early infancy is relatively limited but worth further investigation.
The neurotoxic effects of several environmental exposures (e.g., air pollution, metals, etc.) are known to vary by the developmental period in which the exposure occurs31–34. Studies identifying the critical developmental period for stress exposure on premature infant development are lacking. For preterm infants, where much of the third trimester equivalent stage of neurodevelopment is lived ex utero, and where interventions in the highly controlled NICU environment could be altered to decrease impactful stress, the concept of a critical window for exposure has heightened importance. Additionally, studying preterm infants has the potential to differentiate between developmental critical windows -- those defined by time from conception -- and chronological critical windows, those defined as time from birth.
In the present study, we hypothesized that salivary cortisol level measured during the NICU hospitalization would be associated with early neurobehavioral performance in a cohort of preterm infants. Neurodevelopment was assessed with the NICU Network Neurobehavioral Scale (NNNS), a multi-domain neurobehavioral assessment, performed prior to NICU discharge. We explored susceptible critical developmental windows associated with cortisol level, and the impact of infant sex on the relationship between cortisol and neurobehavior.
METHODS
Study participants
Participants of this study were preterm infants enrolled in the NICU Hospital Exposures and Long-Term Health (NICU-HEALTH) cohort35. NICU-HEALTH is a preterm birth cohort focused on defining the impact of hospital-based environmental exposures between birth and NICU discharge. NICU-HEALTH participants represent the large population of preterm infants born between 28–0/7 and 32–6/7 gestational week who require hospitalization in the NICU following birth, but who have low rates of physiological derangement, such as hypoxia or hypotension, or other medical predictors of poor outcome36–37. NICU-HEALTH enrolled infants born at birth weight <1500 grams or with gestational age 28–0/7 through 32–6/7 weeks at the Mount Sinai Hospital from September 2011 until March 2020. Under the study protocol, detailed information about clinical events, specific exposure to medical equipment, biological samples including urine, stool, hair, saliva, and blood, and detailed maternal survey information were collected throughout the infants’ NICU stay. Outcomes including early neurodevelopmental assessments, growth parameters, and medical morbidities were ascertained. Longer-term outcomes after NICU discharge are collected as part of the DINE (Developmental Impact of NICU Exposures) cohort of the ECHO (Environmental influences on Child Health Outcomes) program (ClinicalTrials.gov NCT01420029, NCT01963065, NCT03061890; http://www.nih.gov/echo). NICU-HEALTH was approved by the Mount Sinai Program for the Protection of Human Subjects, and parents of NICU inpatients provided informed consent for participation.
Saliva collection and cortisol measurement
Saliva specimens were collected for NICU-HEALTH participants in the morning and afternoon on a single day each week during the NICU stay. Collections were conducted by trained study staff. The methods of sample collection, storage, and cortisol measurement have been described previously18. In brief, saliva specimens were collected using a cotton swab (SalivaBio Infant Swab, Salimetrics) placed in the infant’s mouth for 2–5 min until the cotton swab was saturated. The swab was then centrifuged at 4,000 rotations per minute for 30 min, and extracted saliva was aliquotted to storage vials and frozen at −80 °C pending batch analysis. Saliva specimens were sent frozen to the Technical University of Dresden for cortisol measurement using a commercially available chemiluminescence assay38–39.
NICU Network Behavioral Scale (NNNS)
Neurobehavioral performance of NICU-HEALTH participants was assessed using the NNNS40 administered by a certified examiner just prior to NICU discharge. The NNNS is a structured physical exam designed to measure behavioral and motor development and reactivity, consisting of 13 individual subscales that score an infant’s performance in a single aspect of motor function, neurological reflex, attention, social reactivity, or stress response. The NNNS has been used in epidemiological studies as an established measurement of infants’ neurobehavior41–45 and is used in some centers clinically as a predictor of long-term developmental risk.
Descriptive statistics
Descriptive statistics were calculated for salivary cortisol levels, subscales of the NNNS, and covariates. We compared study variables among male infants and female infants using student t-test for continuous variables and chi-square for categorical variables, respectively.
Reverse distributed lag model (rDLM)
We used reverse distributed lag modeling (rDLM)46–47 to estimate time-specific associations between salivary cortisol and NNNS performance. The existing approach to rDLM was adapted from a typical DLM48, which has been widely used to identify “critical windows” for repeatedly measured exposures and outcomes measured at a single later time point. The concept of a “critical window” identifies a specific sensitive period of development during which a repeated or continuous exposure may impact a health outcome49. In contrast to the typical DLM, rDLM46–47 reverses the position of exposure and outcome in the model, such that the exposure becomes the dependent variable and the outcome becomes the independent variable. This approach can prevent the loss of sample size due to missing data50. In a typical DLM approach, participants with any missing exposure data at single time point would be dropped from modeling due to the requirement of complete and consistent data for the DLM. rDLM is particularly useful in our study because our participants are preterm infants born at different gestational ages who spent varying periods of development in the NICU. The SAS macro of rDLM was obtained from the supplementary materials of Gennings et al.47. We revised the obtained SAS macro by adding an interaction term between the dependent variable and an indicator variable of effect modifier, which allowed the SAS macro program to examine the modification effect. The revised rDLM SAS macro is available in our supplementary material.
As in many studies of preterm infants, we initially focused our analyses on postmenstrual age, or the developmental age, rather than the chronological age of the infant. However, previous studies of full-term infants reported critical windows in chronological age (CA)32–33. To allow comparison to that literature, we additionally computed rDLM by CA (weeks after birth). Both the rDLM results assessed by PMA and by CA were used in this study to identify critical windows of the impact of stress response on neurobehavior.
Because the number of saliva samples collected before 30 weeks PMA (N=6), after 38 weeks PMA (N=9), and after the eighth week of life (N=11) were small, we grouped those samples. The salivary concentration (nmol/l) was natural log transformed (ln nmol/l) to satisfy the linear assumption of regression models. The results of rDLM were presented as coefficients and 95% confidence intervals (CIs), indicating the unit change in outcome (1 unit = 1 unit score of NNNS subscale) per unit change in exposure [1 unit = one natural log-transformed concentration (ln nmol/L) of salivary cortisol] at each week of PMA or CA. The Holm-Bonferroni (HB)-adjusted CIs were additionally estimated at each time point to account for multiple comparisons among time points. A critical window was defined as when the time-specific coefficient was statistically significant, which was presented and illustrated as the estimated 95% CI completely above or below zero.
Gender modification effect
We estimated time-specific associations between salivary cortisol and each NNNS subscale stratified by sex. The differences in associations between the two sexes were estimated as the time-specific coefficient and 95% CI of the interaction term adjusted in rDLM models.
Covariates
Model covariates included gestational age at birth, small for gestational age (SGA) status defined as birth weight percentile less than ten, race/ethnicity, maternal smoking status, maternal insurance type, delivery type, antenatal steroids use, and an interaction term of infant sex.
Sensitivity analysis
In a sensitivity analysis, we further examined the association between average salivary cortisol concentration measured during the NICU stay and NNNS performance using multivariate linear regression including the same covariates as the rDLM. However, we did not stratify linear regression models by infant sex because sex did not significantly modify the association between average salivary cortisol and NNNS.
RESULTS
Characteristics of the study population
One hundred thirty-nine preterm infants who had both salivary cortisol measured and NNNS examination during the NICU hospitalization were included in this analysis. Key clinical and demographic characteristics of the entire NICU-HEALTH cohort compared to the 139 included infants are available in Table 1. The average gestational age of the 139 preterm infants was 30 +/− 1.4 weeks. Fifteen percent of infants were small for gestational age at birth. There were no significant differences between male and female infants (all P values > 0.05).
Table 1.
Characteristics of the 139 preterm infants included in this study. The average concentration of salivary cortisol, demographic information, and clinical characteristics were compared between male and female infants.
| All (N=139) | Male (N=72) | Female (N=67) | Comparisona | ||||||
|---|---|---|---|---|---|---|---|---|---|
| N (%) | Mean (SD) | N (%) | Mean (SD) | N (%) | Mean (SD) | P-value | |||
| Salivary cortisol concentration (nmol/L) | 7.0 (4.4) | 7.4 (5.3) | 6.5 (3.0) | 0.19 | |||||
| PMA at NNNS examination | 36.3 (1.4) | 36.3 (1.4) | 36.3 (1.4) | 0.81 | |||||
| Gestational Age at birth | 30.9 (1.4) | 30.8 (1.3) | 31.0 (1.4) | 0.60 | |||||
| Small for Gestational Age (week) | 15 (10.8) | 10 (13.9) | 5 (0.1) | 0.22 | |||||
| Race/ethnicity | |||||||||
| Non-Hispanic White | 77 (55.4) | 38 (52.8) | 32 (47.8) | 0.11 | |||||
| Non-Hispanic black | 31 (22.3) | 19 (26.4) | 12 (17.9) | ||||||
| Hispanics | 12 (8.6) | 7 (9.7) | 5 (7.5) | ||||||
| Other | 19 (13.7) | 8 (11.1) | 18 (26.9) | ||||||
| Medicaid | 52 (37.4) | 23 (31.9) | 29 (43.3) | 0.17 | |||||
| Cesarean Delivery | 44 (31.7) | 23 (31.9) | 21 (31.3) | 0.94 | |||||
| NICU morbidity | 0.4 | ||||||||
| Bronchopulmonary dysplasia | 13 (9.4) | 7 (9.7) | 8 (11.9) | ||||||
| Intraventricular hemorrhage | 27 (19.4) | 17 (23.6) | 10 (14.9) | ||||||
| Necrotizing Enterocolitis | 1 (0.7) | 1 (1.4) | 0 (0.0) | ||||||
| Maternal smoking | 26 (18.7) | 11 (15.3) | 15 (22.4) | 0.28 | |||||
| Steroids | |||||||||
| Antenatal | 130 (93.5) | 68 (94.4) | 62 (92.5) | 0.65 | |||||
| Postnatal | 0 (0.0) | 0 (0.0) | 0 (0.0) | - | |||||
| Antenatal magnesium | 114 (83.2) | 61 (85.9) | 53 (80.3) | 0.3 | |||||
Note:
Comparison between male and female infants.
Among the 139 preterm infants included in this study, the average PMA at NNNS examination was 36.3 +/− 1.4 weeks. Table 2 shows the mean, standard deviation (SD), and range of scores on the thirteen NNNS subscales.
Table 2.
NNNS performance in the 139 preterm infants included in this study.
| NNNS Subscale | Direction of improved performanceb | N | Mean (SD) | Min | Max |
|---|---|---|---|---|---|
| Habituation a | Positive | 61 | 3.18 (1.78) | 0.33 | 9.00 |
| Attention | Positive | 139 | 4.76 (0.86) | 0.14 | 6.71 |
| Handling | Negative | 139 | 0.20 (0.19) | 0.00 | 0.86 |
| Movement | Positive | 139 | 4.72 (0.35) | 3.50 | 5.33 |
| Regulation | Positive | 139 | 5.92 (0.50) | 3.77 | 6.79 |
| Non-optimal Reflexes | Positive | 139 | 5.96 (1.81) | 2.00 | 10.00 |
| Stress | Negative | 139 | 0.09 (0.03) | 0.02 | 0.16 |
| Arousal | - | 139 | 3.56 (0.42) | 2.29 | 5.00 |
| Hypertonia b | Negative | 139 | 0.07 (0.26) | 0.00 | 1.00 |
| Hypotonia b | Negative | 139 | 0.08 (0.27) | 0.00 | 1.00 |
| Asymmetric reflexes | Positive | 139 | 1.29 (1.09) | 0.00 | 4.00 |
| Excitability | Positive | 139 | 0.99 (1.41) | 0.00 | 6.00 |
| Lethargy | - | 139 | 4.50 (1.43) | 1.00 | 11.00 |
Note:
There is a high missing rate for Habituation because infants need to in deep sleep when this subscale is measured.
The subscale Hypertonia and Hypotonia ranged from 0 to 4 in the Hospital Exposures and Long-Term Health (NICU-HEALTH) cohort. In this subset, Hypertonia and Hypotonia only have two values: 0, 1. Since the original variables are continuous, we model Hypertonia and Hypotonia as continuous variables.
b Direction of improved performance refers to the optimal performance on each scale. For example, infants with better habituation demonstrate higher scores on the Habituation subscale. For the Arousal and Lethargy subscales, either extreme high or low scores are abnormal.
Salivary cortisol concentrations
Eight hundred forty salivary cortisol measurements representing 502 person-days were included in our analysis. Figure 1 depicts salivary cortisol levels for male and female infants based on age and gestational maturity. Consistent with past research demonstrating the lack of cortisol diurnal cycling in preterm infants before 44 weeks PMA51, we did not observe diurnal cycling of salivary cortisol level (Figure 1a). This finding allowed us to use the average salivary cortisol concentration measured at multiple times in a day. Our group showed previously that salivary cortisol levels in preterm infants are associated with the intensity of stressful events in the NICU as recorded by an accepted survey tool18. These stressful events are more common in the highly medicalized period soon after birth than in the subsequent convalescent phase of NICU hospitalization, resulting in lower cortisol levels later in the course of the NICU hospitalization. Figures 1B and C show that salivary cortisol levels in our study population were, as expected, higher in the first several weeks after birth than near discharge. This decreasing trend in male infants was more pronounced than among female infants, but the difference was not statistically significant (ANOVA P-value = 0.07). Also, as expected, there was no clear change in salivary cortisol level across gestational ages (Figure 1d).
Figure 1.
Salivary cortisol concentration (nmol/L) by the timing of specimen collection: a) by hour of day; b) by postmenstrual age; c) by chronological age; d) by gestational age at birth. Smooth lines representing trends for male and female infants were fitted using the loess method.
Critical windows by developmental stage
Using the revised rDLM model, we examined sex-stratified associations between salivary cortisol and NNNS performance by week of cortisol measurement (represented by PMA and CA). The identified critical windows varied by NNNS subscale, infant sex, and developmental period (PMA or CA). To better illustrate the statistical results, we present here only the subscales with significant HB-adjusted 95% CIs (Figures 2 and 3), while the full results are available in the supplementary materials (Figures S1 and S2).
Figure 2.
The results of rDLM examining associations between salivary cortisol level and NNNS Habituation and Lethargy scores. The Y axis is the time-specific coefficient between salivary cortisol and performance on each subscale. The X axis is the developmental stage at salivary cortisol measurement. First column (in pink): female infants. Second column (in blue): male infants. Third column (in black): differential effect, males - females. Bold line: time-specific coefficient; Colored area: 95% CI not adjusted for multiple comparison; Error bar: Holm-Bonferroni-adjusted 95% CI. The full results for all 13 NNNS subscales are available in supplementary material Figure S1.
Figure 3.
The results of rDLM examining associations between salivary cortisol level and the NNNS Attention and Regulation scores. The Y axis is the time-specific coefficient between salivary cortisol and performance on each subscale. The X axis is the week of chronological age at salivary cortisol measurement. First column (in pink): female infants. Second column (in blue): male infants. Third column (in black): differential effect, males - females. Bold line: time-specific coefficient; Colored area: 95% CI not adjusted for multiple comparison; Error bar: Holm-Bonferroni-adjusted 95% CI. The full results for all 13 NNNS subscales are available in supplementary material Figure S2.
Figure 2 shows the adjusted coefficients and 95% CIs (including both original CIs and HB-adjusted CIs) of the statistically significant associations between salivary cortisol and the Habituation and Lethargy subscales by PMA. Statistically significant associations between salivary cortisol and both Habituation and Lethargy were observed for both sexes at the least mature PMA category (30 weeks and less). For cortisol levels measured at 28 to 30 weeks PMA, one unit (ln nmol/l) increase of salivary cortisol was associated with a 0.87 (95% CIhb: 0.07, 1.68) point increase of the Habituation score among female infants, and a 1.04 (0.22, 1.86) point increase among male infants. A one unit (ln nmol/l) increase of salivary cortisol was associated with a 0.63 (0.02, 1.23) point increase of Lethargy score in female infants, and 0.73 (0.13, 1.32) point increase in male infants. Habituation and Lethargy quantify different neurobehavioral domains52: higher Habituation scores indicate greater response decrement to recurring auditory and visual stimuli, and higher Lethargy scores indicate lower levels of motor, state and physiological reactivity. Our results suggested these behaviors measured at discharge was significantly associated with salivary cortisol at less mature PMAs, and the strength and magnitude of this association decreased for stress exposure at more mature PMAs.
Figure 3 shows the adjusted coefficients and 95% CIs (including both original CIs and HB-adjusted CIs) of statistically significant associations between salivary cortisol and the Attention and Regulation subscales by CA. Statistically significant associations between salivary cortisol and Attention were observed for both sexes during the first week after birth: a one-unit (ln nmol/l) increase of cortisol was associated with a −1.01 (95% CIhb: −1.81, −0.21) point change in the Attention score among female infants and a −0.93 (−1.75, −0.11) point change among male infants. There was a consistently inverse association between cortisol level and Regulation subscale score regardless of CA. This association was statistically significant for cortisol measured in the first week and the 6–7th week of life in both sexes. Of note, the average NICU length of stay in our cohort was 6 weeks. For female infants, the (ln nmol/l) increase of cortisol measured at Week 0, Week 6, and Week 7 was associated with a −1.14 (−2.17, −0.11), −1.22 (−2.30, −0.13), and −1.25 (−2.37, −0.13) point change in the Regulation score respectively. In male infants, the (ln nmol/l) increase of cortisol measured at Week 0, Week 6, and Week 7 was associated with a −1.07 (−2.10, −0.03), −1.21 (−2.29, −0.13), and −1.19 (−2.32, −0.06) point change respectively.
Sexual dimorphism
Associations between salivary cortisol and NNNS subscales are shown separately for male and female infants in Figures 2 and 3. The y axis shows the difference in the coefficient when comparing male to female. Each p-value was adjusted for multiple comparisons. Among the four subscales, the most prominent indication of sex difference was observed for Handling, shown in Figure 4. Although the direction of the association between salivary cortisol level and Handling score was opposite for the two sexes, trending negative among females and positive among males across all observational times, statistically significant sex differences were not observed. Supplementary material Figures S1–2 demonstrate similar results for other subscales.
Figure 4.
The results of rDLM examining the association between salivary cortisol level and Handling subscale score by PMA and CA, respectively. Y axis is the week-specific coefficient between salivary cortisol level and the Handling subscale score; X axis is the week of salivary cortisol was collected. First column (in pink): female infants. Second column (in blue): male infants. Third column (in black): differential effect, males - females. Bold line: time-specific coefficient; Colored area: 95% CI not adjusted for multiple comparison; Error bar: Holm-Bonferroni-adjusted 95% CI.
Sensitivity analysis results
In sensitivity analysis, we estimated the association between average salivary cortisol concentration and NNNS scores using linear regression models (Table 3). For comparison, we included the time-specific associations identified by rDLM in Table 3. In linear regression modeling, salivary cortisol was significantly associated with the Regulation subscale score (P = 0.03), but this association lost significance after adjusting for multiple comparisons (PHB = 0.32). This finding was consistent to the rDLM that salivary cortisol level in multiple week after birth was associated the Regulation score in models adjusted for multiple comparisons (Figure 3).
Table 3.
Association of NICU-based cortisol and NNNS subscale performance modeled by multivariate linear regression analysis and rDLM. The coefficients and 95% confidence interval indicate change of NNNS subscale score given a one-unit change of the average salivary cortisol concentration (ln nmol/l).
| NNNS | Linear regression modela | rDLMb | ||||
|---|---|---|---|---|---|---|
| Subscale | N | Coefficient | 95% Confidence Interval | P-value | By PMA (weeks) | By CA (weeks) |
| Habituation | 61 | −0.28 | −1.04, 0.49 | 0.47 | < 30 | None |
| Attention | 139 | 0.07 | −0.22, 0.35 | 0.65 | None | 0 |
| Handling | 139 | 0.04 | −0.03, 0.1 | 0.25 | None | None |
| Movement | 139 | −0.10 | −0.21, 0.01 | 0.07 | None | None |
| Regulation | 139 | −0.19 | −0.35, −0.02 | 0.03 b | None | 0, 6–7 |
| Non-optimal Reflexes | 139 | 0.49 | −0.11, 1.09 | 0.11 | None | None |
| Stress | 139 | 0.0005 | −0.01, 0.01 | 0.91 | None | None |
| Arousal | 139 | −0.01 | −0.14, 0.13 | 0.90 | None | None |
| Hypertonia | 139 | −0.03 | −0.12, 0.06 | 0.53 | None | None |
| Hypotonia | 139 | 0.02 | −0.07, 0.11 | 0.71 | None | None |
| Asymmetric reflexes | 139 | −0.16 | −0.52, 0.2 | 0.39 | None | None |
| Excitability | 139 | 0.31 | −0.14, 0.77 | 0.18 | None | None |
| Lethargy | 139 | −0.42 | −0.89, 0.05 | 0.08 | < 30 | None |
Note:
Covariates adjusted in linear regression models: race/ethnicity maternal smoking, maternal insurance type, gestational age, small for gestational age, delivery type, antenatal steroid use, and infant sex.
Only critical windows with significant association after adjusting for multiple comparisons are listed. b. The p-value of the linear regression model is significant at alpha<0.05, but loses significance with correction by the Benjamini–Hochberg procedure (Pbh=0.32).
DISCUSSION
We examined the association between salivary cortisol measured between birth and term equivalent and neurobehavioral performance assessed by NNNS prior to NICU discharge in a group of preterm infants. In our study, salivary cortisol level at specific PMAs and CAs were associated with specific NNNS subscales. These findings indicate that stress during specific critical windows of the NICU stay may impact preterm infant neurodevelopment. Specifically, stress at lower PMA was found to impact performance on the Habituation and Lethargy subscales at term-equivalent, while stress early and late in the NICU hospitalization was found to impact performance on the Attention and Regulation subscales.
To our knowledge, this study is the first to leverage a critical window analysis for neurobehavioral outcomes in preterm infants. Our findings are consistent with a generally accepted concept that environmental exposures during the third trimester developmental period particularly impact human central nervous system development32–33. Our study is unique in its ability to pinpoint the critical windows for stress response during this period of development as we were able to measure biomarkers of stress response directly from preterm infants, whose “third trimester” developmental window overlaps with the early postnatal life course.
We did not observe statistically significant sex differences in the association between salivary cortisol level and the NNNS subscale scores, possibly because of small sample size. This is important as sexual dimorphism has been reported in several studies of childhood behavioral outcome after exposure to stress during the pregnancy. For example, in the Queensland Flood Study27, in utero exposure to maternal distress during a flooding disaster altered offspring temperament measured in early childhood for boys but not for girls. There is known to be a stronger association between in utero exposure to maternal depression and unfavorable behavioral outcome in boys compared to girls25, 53. Notably, there is conflicting data about whether sexual dimorphism in behavioral outcome related to stress exposure is due to biological differences or differing socialization of the two sexes, or both54–55. Our study was underpowered to detect a sexual dimorphic impact of early life stress on behavioral development. This topic should be further explored in larger studies as NICU-based outcomes may be able to distinguish between biological versus sociological underpinnings of previously seen differences of stress exposure by sex as biology rather than socialization likely drives sexual dimorphism early in life.
The results of sensitivity analysis further confirm our findings of the inverse association between salivary cortisol level and performance on the NNNS Regulation subscale. The estimated association is particularly robust, as time-specific associations were statistically significant across different models (i.e., PMA and chronological age) and across multiple time points.
A major strength of our study is the unique, modifiable environment of the NICU, where stressful exposures, stress response, and outcomes are easily measured and confounders are assessed. Unlike studies that use a single biomarker measured in response to an isolated stressful event a measure of stress reactivity, our study did not target biospecimen collection to follow an identified stressful event. Cortisol levels in our study reflect the individual’s response to the totality of environmental stressors in the NICU in a chronic resting state. Cortisol levels do not vary diurnally in the NICU population51. Single measurements in preterm infants thus provide similar information to the slope of a cortisol curve in a more mature individual exhibiting diurnal cycling, and may reflect chronic HPA axis function that has been linked to neurodevelopment56.
That said, our study has several limitations. First, although large for studies of preterm infant stress, our study had a small absolute number of participants, which might lead to uncertainties in analysis results. Second, cortisol, an integral part of the HPA axis, is only one biomarker of stress. Damage to the HPA axis could impact salivary cortisol response, thus confounding response for some critically ill neonates. Although our NICU-HEALTH population was drawn from the moderately preterm population – rather than the critically ill extremely preterm population – and had overall low rates of medical morbidity, this potential confounder remains. Last but not least, preterm infants’ HPA axis develops during the period of time spent in the NICU. Their cortisol response might change between birth and NICU discharge. Nevertheless, we found strong associations between the salivary cortisol and neurobehavioral performance at various time points through the NICU stay.
In summary, we use a sophisticated statistical approach to examine the association between a biomarker of stress response and preterm infant neurobehavioral performance at a fine temporal scale (weekly). The application of rDLM prevented sample size loss caused by an incomplete set of time-dependent variables, thereby enabling identification of critical windows in a dynamic cohort.
CONCLUSION
We found that salivary cortisol level at specific time points during NICU-based development was associated with specific domains of neurobehavioral performance in preterm infants. This finding suggests that environmental stressors during NICU hospitalization may impact preterm infant neurodevelopment, particularly in domains related to Habituation, Attention, Regulation, and Lethargy. Future, larger studies may be able to further elucidate the role of exposure timing and sex in the association between stress, stress response, and neurodevelopment among preterm infants.
Supplementary Material
IMPACT.
Stress in the neonatal intensive care unit can impact the neurodevelopmental trajectory of premature infants.
The impact of stress is different at different points in development.
The impact of stress is sexually dimorphic.
ACKNOWLEDGMENTS
We thank John Smith, Shaliz Pourkaviani, and Mount Sinai NICU nurses for assistance with data collection.
STATEMENT OF FINANCIAL SUPPORT
Funding for NICU-HEALTH came through pilot grants from the Passport Foundation, the Mount Sinai Children’s Environmental Health Center, a National Institute of Environmental Health Sciences (NIEHS) mentored award K23ES022268 to Dr. Stroustrup, a NIEHS Center Core Grant P30ES023515, and the National Institutes of Health ECHO program UG3OD02332 and UH3OD023337.
Footnotes
CONFLICT OF INTEREST
All authors have no conflict of interest to declare.
ETHNICAL STATEMENT
All participants provided written informed consent prior to enrollment in the NICU Hospital Exposures and Long-Term Health (NICU-HEALTH) study. The study was approved by the Program for the Protection of Research Subjects at the Icahn School of Medicine at Mount Sinai (IRB-16-01139; GCO#12-0332).
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