Skip to main content
Lippincott Open Access logoLink to Lippincott Open Access
. 2022 May 9;23(8):580–592. doi: 10.1097/PCC.0000000000002971

Physical, Emotional/Behavioral, and Neurocognitive Developmental Outcomes From 2 to 4 Years After PICU Admission: A Secondary Analysis of the Early Versus Late Parenteral Nutrition Randomized Controlled Trial Cohort*

Ines Verlinden 1, Fabian Güiza 1, Karolijn Dulfer 2, Hanna Van Cleemput 1, Pieter J Wouters 1, Gonzalo Garcia Guerra 3, Koen F Joosten 2, Sascha C Verbruggen 2, Ilse Vanhorebeek 1, Greet Van den Berghe 1,
PMCID: PMC9345517  PMID: 35522534

OBJECTIVES:

PICU patients face long-term developmental impairments, partially attributable to early parenteral nutrition (PN) versus late-PN. We investigated how this legacy and harm by early-PN evolve over time.

DESIGN:

Preplanned secondary analysis of the multicenter PEPaNIC-RCT (ClinicalTrials.gov, NCT01536275) that enrolled 1,440 critically ill children from 2012 to 2015 and its 2- (2014–2018) and 4-year (2016–2019) cross-sectional follow-up studies.

SETTING:

PICUs of Leuven (Belgium), Rotterdam (The Netherlands), and Edmonton (Canada).

PATIENTS:

Patients and demographically matched healthy control children that underwent longitudinal assessment for physical/emotional/behavioral/neurocognitive functions at both follow-up time points.

INTERVENTIONS:

In the PEPaNIC-RCT, patients were randomly allocated to early-PN versus late-PN.

MEASUREMENTS AND MAIN RESULTS:

This within-individual longitudinal study investigated changes in physical/emotional/behavioral/neurocognitive functions from 2 to 4 years after PICU admission for 614 patients (297 early-PN and 317 late-PN, tested at mean ± sd age 5.4 ± 4.2 and 7.3 ± 4.3 yr) and for 357 demographically matched healthy children tested at age 5.6 ± 4.3 and 7.5 ± 4.3 years. We determined within-group time-courses, interaction between time and group, and independent impact of critical illness and early-PN on these time-courses. Most deficits in patients versus healthy children remained prominent over the 2 years (p ≤ 0.01). Deficits further aggravated for height, body mass index, the executive function metacognition, intelligence, motor coordination (alternating/synchronous tapping), and memory learning-index, whereas verbal memory deficits became smaller (working/immediate/delayed memory) (p ≤ 0.05). Adjustment for risk factors confirmed most findings and revealed that patients “grew-into-deficit” for additional executive functions (flexibility/emotional control/total executive functioning) and “grew-out-of-deficit” for additional memory functions (recognition/pictures) (p ≤ 0.05). Time-courses were largely unaffected by early-PN versus late-PN, except for weight loss and limited catch-up for visual-motor integration and alertness in early-PN patients (p ≤ 0.05).

CONCLUSIONS:

From 2- to 4-year post-PICU admission, developmental impairments remained prominent. Within that time-window, impaired growth in height, executive functioning and intelligence aggravated, and impaired memory and harm by early-PN only partially recovered. Impact on development into adulthood requires further investigation.

Keywords: children, critical illness, neurocognitive development, physical development, pediatric intensive care unit, within-individual longitudinal study


Children who have been critically ill and required PICU admission face long-term physical, emotional/behavioral, and neurocognitive developmental problems (15). These deficits can remain up to years after discharge and can have a negative impact on the children’s daily and academic functioning. Longitudinal studies on the evolution over time of these impairments are scarce and have focused on small specific subgroups of children who underwent surgery for congenital heart disease or suffered from traumatic brain injury (69). These studies yielded apparently conflicting results going from worsening of impairments, no effect over time, to partial catch-up toward performance of healthy children. Part of the long-term legacy of critical illness may be preventable through altering aspects of intensive care, such as omitting early use of parenteral nutrition (PN) (1, 3, 4). Indeed, providing full nutritional intake early with PN to supplement insufficient enteral nutrition (“early-PN”) has shown to be clinically inferior to accepting an early macronutrient deficit by postponing PN to beyond the first week in PICU (“late-PN”). Indeed, the Pediatric Early versus Late Parenteral Nutrition in Intensive Care Unit randomized controlled trial (PEPaNIC-RCT) demonstrated that early-PN caused more PICU-acquired infections and delayed recovery from the illness (10). Early-PN patients also showed worse long-term development of executive functions and/or emotional and behavioral problems compared with late-PN patients, with vulnerability depending on age at exposure (3, 4, 11). Aberrant de novo changes in DNA methylation, arising rapidly during PICU stay, were identified as a plausible molecular basis of the long-term effects, as they statistically explained at least part of the adverse effect of critical illness and early-PN on neurocognitive development (1214).

Although the developmental problems and the impact hereon of in-PICU nutritional management have been documented cross-sectionally at 2 and 4 years after critical illness, it remains unclear how development of individual patients evolves over time compared with the normal developmental trajectory of healthy children. To assess, in a more sensitive manner, whether former PICU patients “grow-into” or “out-of” their physical, emotional/behavioral, and neurocognitive developmental legacy over time, a within-individual longitudinal study of patients and healthy children is required.

RESEARCH IN CONTEXT

  • Children who have been critically ill face long-term physical, emotional/behavioral, and neurocognitive developmental problems, which can remain present up to years after hospital discharge, as documented by cross-sectional studies.

  • It remained unclear how development of individual patients evolves over time after PICU discharge compared with the normal developmental trajectory of healthy children.

  • To assess whether former PICU patients “grow-into” or “grow-out-of” their developmental legacy over time, we performed a within-individual longitudinal study of patients from 2 to 4 years after critical illness, in parallel with similar follow-up of matched healthy children.

MATERIALS AND METHODS

Study Design and Participants

This is a preplanned secondary analysis of the multicenter PEPaNIC-RCT (Leuven-Rotterdam-Edmonton, ClinicalTrials.gov-NCT01536275) that enrolled 1,440 critically ill children from 2012 to 2015 and its 2- (2014–2018) and 4-year (2016–2019) cross-sectional follow-up studies (3, 4, 10). The study protocol has been published (15). Longitudinal assessment at both follow-up time points for anthropometrics, emotional/behavioral problems, and neurocognitive functions allowed analysis of time-courses for 614 patients (297 early-PN and 317 late-PN) and 357 demographically matched healthy children (Fig. 1). Information on participants, written informed consent, and institutional review board approval are described in Supplemental Digital Content Methods S1 (http://links.lww.com/PCC/C63).

Figure 1.

Figure 1.

Consort diagram of the study participants. PEPaNIC = pediatric early versus late parenteral nutrition in ICU, PN = parenteral nutrition, RCT = randomized controlled trial.

In the PEPaNIC-RCT, patients had been randomly allocated to “early-PN” or “late-PN” (10, 15). In the early-PN group, supplemental PN was initiated within 24 hours after PICU admission to supplement enteral nutrition (oral intake or intake via nasogastric or nasoduodenal tube) whenever 80% of targeted calories per age and weight categories was not yet reached. In the late-PN group, supplemental PN was withheld in the first week of PICU stay (meaning no PN for patients discharged before day 8), and patients parenterally only received a glucose 5%/sodium chloride 0.9% mixture to match fluid intake. After 1 week, for both groups equally, PN could be administered if necessary. When enteral nutrition covered 80% or more of calculated targets, supplemental PN was discontinued. Enteral nutrition was initiated early for both groups equally, and all patients received IV micronutrients.

At follow-up, participants were assessed for developmental outcomes, at the hospital or at home, by physicians and experienced pediatric psychologists who had not been involved in the PICU care of the patients and who were strictly blinded regarding treatment allocation (3, 4). The same psychologists who tested most of the children at the 2-year follow-up also tested most of the children at the 4-year follow-up. Parents had not been masked for treatment allocation during the child’s PICU stay and were not actively informed about the findings of the initial PEPaNIC-study or 2-year follow-up study. Parents did receive a report on their child’s performance after the neurocognitive testing at both follow-up time points.

Developmental Outcomes

Physical development was assessed via measurement of head circumference, body weight, and height. A clinical neurologic examination was performed to assess gross neurologic abnormalities. Performance for a broad range of emotional/behavioral and neurocognitive functions was assessed with validated internationally recognized, age-adjusted questionnaires, and clinical tests with adequate normative data. Parents or caregivers completed Behavior Rating Inventory of Executive Function questionnaires (16, 17) on executive functioning and Child Behavior Checklist (18, 19) questionnaires on emotional and behavioral problems of their child. Clinical tests consisted of age-appropriate versions of the Wechsler Intelligence Quotient Scale (2022) to assess intelligence, the Beery Developmental Test of Visual-Motor Integration (23) to assess visual-motor integration, tasks of the Amsterdam Neuropsychologic Task Battery (24) to assess alertness and motor coordination (for children 4 yr old or older), and the Children’s Memory Scale (25) to assess memory (for children aged 5–16 yr). The developmental outcomes and available data are more extensively described in Supplemental Digital Content Methods S2 and Table S2 (http://links.lww.com/PCC/C63) (3, 4, 26).

Statistical Analyses

Demographics and medical characteristics of early-PN and late-PN patients and healthy control children were summarized, with differences between groups analyzed with a χ2, Student t test, or Wilcoxon rank-sum test, as appropriate.

First, the within-group evolution over time of physical, emotional/behavioral, and neurocognitive functionings of the former PICU patients and control children and of former early-PN versus late-PN PICU patients was assessed with repeated-measures analysis of variance, and differences in these time-courses between the groups were assessed by univariate significance assessment of the interaction between time and group.

Subsequently, to investigate to what extent the critical illness and use of early-PN versus late-PN in the PICU, independent of other risk factors, was associated with any differences in the time-course of the developmental outcomes, multivariable linear regression analyses were performed adjusted for risk factors. To this end, for each outcome, the difference between the scores at 2- and 4-year follow-up (“delta,” 4-yr follow-up minus 2-yr follow-up) was calculated per individual and entered into the model as the dependent variable. Adjustments were done for age, center, gender, race, geographic origin, language, hand preference, history of malignancy, a history of a predefined “syndrome” (Supplemental Digital Content Methods S3, http://links.lww.com/PCC/C63), and the educational and occupational statuses of the parents/caregivers (Supplemental Digital Content Methods S4, http://links.lww.com/PCC/C63). For the comparison between the early-PN and late-PN groups, additional adjustment was done for admission diagnosis, severity of illness upon PICU admission (PIM3 and PeLOD scores), risk of malnutrition (Screening Tool for Risk on Nutritional Status and Growth), and parental smoking behavior prior to PICU admission.

Data are presented as numbers and proportions, means and sd, or beta-estimates with 95% CIs.

Statistical analyses were performed with JMP15.0.0 (SAS Institute, Cary, NC). Two-sided p values of 0.05 or lower were considered statistically significant. As the studied developmental outcomes are not independent, correction for multiple comparisons was not performed (4, 27).

RESULTS

On average, the 4-year follow-up was performed 1.9 years (sd, 0.2 yr) after the 2-year follow-up, for early-PN and late-PN patients (p = 0.59) as well as for patients and healthy children (p = 0.24). Early-PN patients were tested at mean age 5.5 (4.3) and 7.4 (4.3) years, late-PN patients at mean age 5.3 (4.1) and 7.2 (4.2) years, and demographically matched healthy children at age 5.6 (4.3) and 7.5 (4.3) years. Demographics and medical characteristics of former PICU patients and healthy children are shown in Table 1 and Supplemental Digital Content Table S1 (http://links.lww.com/PCC/C63). Total macronutrient doses administered on each of the first 7 days in PICU are shown in Supplemental Digital Content Figure S1 (http://links.lww.com/PCC/C63).

TABLE 1.

Demographics and Medical Characteristics of Former PICU Patients and Healthy Children Tested at 2- and 4-Year Follow-Up

Demographics of Participants and Medical Characteristics of Patients Healthy Control Children (n = 357) Former PICU Patients (n = 614) p
Age at 2-yr follow-up—median (IQR)/mean (sd), yr 3.6 (2.6–7.4)/5.6 (4.3) 3.1 (2.6–6.5)/5.4 (4.2) 0.40
Age at 4-yr follow-up—median (IQR)/mean (sd), yr 5.5 (4.4–9.2)/7.5 (4.3) 5.1 (4.4–8.5)/7.3 (4.3) 0.31
Male sex—n (%) 193 (54.1) 353 (57.5) 0.29
Known non-Caucasian racean (%) 26 (7.3) 48 (7.8) 0.76
Known non-European originan (%) 44 (12.3) 111 (18.1) 0.01
Known not exclusive Dutch or English language—n (%) 67 (18.8) 138 (22.5) 0.16
Socioeconomic statusb,c
 Parental educational level 1—n (%) 25 (7.0) 77 (12.5) < 0.0001
 Parental educational level 2—n (%) 112 (31.4) 261 (42.5)
 Parental educational level 3—n (%) 205 (57.4) 176 (28.7)
 Parental educational level unknown—n (%) 15 (4.2) 100 (16.3)
 Parental occupational level 1—n (%) 20 (5.6) 66 (10.8) < 0.0001
 Parental occupational level 2—n (%) 65 (18.2) 165 (26.9)
 Parental occupational level 3—n (%) 118 (33.1) 164 (26.7)
 Parental occupational level 4—n (%) 112 (31.4) 95 (15.5)
 Parental occupational level unknown—n (%) 42 (11.8) 124 (20.2)
Infant (age < 1 yr) at randomization—n (%) NA 294 (47.9) /
Screening Tool for Risk on Nutritional Status and Growth risk leveld, medium/high—n (%) NA 551 (89.7)/63 (10.3) /
Pediatric Logistic Organ Dysfunction score, first 24 hr in PICUe—mean (sd) NA 20.0 (11.5) /
PIM3 scoref/PIM3 probability of deathg (%)—mean (sd) NA −3.5 (1.3)/6.6 (11.6) /
Diagnostic category
 Surgical—abdominal—n (%) NA 57 (9.3)
 Surgical—burns—n (%) NA 2 (0.3)
 Surgical—cardiac—n (%) NA 264 (43.0)
 Surgical—neurosurgery-traumatic brain injury—n (%) NA 51 (8.3)
 Surgical—thoracic—n (%) NA 35 (5.7)
 Surgical—transplantation—n (%) NA 10 (1.6)
 Surgical—orthopedic surgery-trauma—n (%) NA 19 (3.1)
 Surgical—other—n (%) NA 21 (3.4)
 Medical—cardiac—n (%) NA 22 (3.6)
 Medical—gastrointestinal-hepatic—n (%) NA 2 (0.3)
 Medical—oncologic-hematologic—n (%) NA 5 (0.8)
 Medical—neurologic—n (%) NA 35 (5.7)
 Medical—renal—n (%) NA 0 (0.0)
 Medical—respiratory—n (%) NA 64 (10.4)
 Medical—other—n (%) NA 27 (4.4)
Malignancy—n (%) 0 (0.0) 36 (5.9) < 0.0001
Diabetes—n (%) 0 (0.0) 0 (0.0) > 0.99
Syndromehn (%) 2 (0.5) 58 (9.5) < 0.0001

IQR = interquartile range; NA = not applicable; PIM3 = Pediatric Index of Mortality 3.

a

Participants were classified according to race and geographical origin by the investigators. These classifications were performed to capture ethnical and regional differences in the frequency of consanguinity, which may adversely affect cognitive performance.

b

The educational level is the average of the paternal and maternal educational levels, which were calculated based upon the 3-point scale subdivisions as made by the Algemene Directie Statistiek (Belgium; statbel.fgov.be/nl/) and the Central Bureau voor de Statistiek (The Netherlands; statline.cbs.nl): Low (=1), middle (=2), and high (=3) educational level (Supplemental Digital Content Methods S3, http://links.lww.com/PCC/C63).

c

The occupational level is the average of the paternal and maternal occupational level, which is calculated based on the International ISCO System 4-point scale for professions (Supplemental Digital Content Methods S3, http://links.lww.com/PCC/C63).

d

Scores on the Screening Tool for Risk on Nutritional Status and Growth range from 0 to 5, with a score of 0 indicating a low risk of malnutrition, a score of 1–3 indicating medium risk, and a score of 4–5 indicating high risk.

e

Pediatric Logistic Organ Dysfunction scores range from 0 to 71, with higher scores indicating more severe illness.

f

Pediatric Index of Mortality 3 (PIM3) scores, with higher scores indicating a higher risk of mortality.

g

PIM3 probability of death.

h

A prerandomization syndrome or illness a priori defined as affecting or possibly affecting neurocognitive development (Supplemental Digital content Methods S2, http://links.lww.com/PCC/C63).

Boldface values indicate a significant difference (p ≤ 0.05).

Evolution of Physical, Emotional/Behavioral, and Neurocognitive Functions of Former PICU Patients Versus Healthy Control Children Over the 2-Year Time-Window

Evolution of the developmental outcomes over time is illustrated in Figure 2 and Supplemental Digital Content Figure S2 (http://links.lww.com/PCC/C63). At both time points, former PICU patients had inferior scores when compared with healthy children for almost all assessed outcomes (p ≤ 0.01). The analyses of interaction between time and group (former PICU patients and healthy children), assessing differences in time-course from 2- to 4-year follow-up, revealed that, compared with healthy children, former PICU patients grew less in height though similarly in weight and, thus, showed a relative rise in body mass index. Additionally, former PICU patients deviated further away from the healthy children for the parent- or caregiver-reported executive function metacognition, measures of intelligence (total and verbal intelligence quotient [IQ]), motor coordination (alternating and synchronous tapping) and memory learning-index, either because of a less pronounced improvement or a worsening of the performance. In contrast, patients partially improved over time compared with healthy children for several verbal memory functions (working memory numbers backward, and immediate and delayed memory with regard to word pairs), and hence, for these outcomes, the differences between patients and controls became smaller over time.

Figure 2.

Figure 2.

Univariable analyses of the evolution of height, metacognition, and clinically tested neurocognitive functions of PICU patients versus healthy control children over time from 2- to 4-year follow-up. Results are presented as mean and se. Outcomes are illustrated for which PICU patients (dots, full line) significantly worsened (“grew into deficit”) or improved (“grew out of deficit”) compared with healthy control children (triangles, dotted line) from 2- to 4-year follow-up. For height, age- and gender-adjusted z scores were calculated with the use of reference data from the World Health Organization Growth Charts. For the parent- or caregiver-reported executive functioning (EF), higher scores reflect worse performance. For intelligence, motor coordination (MC) and memory tests, higher scores reflect better performance. *p value ≤ 0.05 for the univariable comparison of the evolution over time within former PICU patients or within healthy controls separately. $Group p value for the univariable comparison between groups at both time points (former PICU patients and healthy children). #Interaction p value comparing the evolution over time between groups (former PICU patients vs healthy controls). IQ = intelligence quotient, Stand score = Standardized score, WP = word pairs.

Adjusted for other risk factors, prior critical illness was independently associated with less growth in height over the 2 years and with a further impairment of even more parent- or caregiver-reported executive functions than those that were already obvious in the above-reported univariable repeated-measures analyses (flexibility, emotional control, metacognition, and total executive functioning) (Table 2). This was also the case for measures of intelligence (total IQ and verbal IQ). In contrast, the deficit decreased over time for alertness as evaluated by reaction time of the right hand and for several memory functions (working memory numbers backward, immediate and delayed memory and recognition with regard to word pairs, and visual memory for pictures).

TABLE 2.

Multivariable Analyses of the Evolution of Physical, Emotional/Behavioral, and Neurocognitive Functions of Former PICU Patients Versus Healthy Control Children Over Time From 2- to 4-Year Follow-Up

Outcomes Assessed at 2- and 4-Year Follow-Upa No Available Data per Outcome β-Estimate (95% CI)b p
Anthropometricsc and physical examination
 Height (z score) 941 −0.05 (−0.10 to 0.00) 0.04
 Weight (z score) 941 0.00 (−0.04 to 0.05) 0.89
 Body mass index (z score) 941 0.05 (−0.01 to 0.11) 0.10
 Head circumference (z score) 971 −0.02 (−0.08 to 0.04) 0.54
 Clinical neurologic evaluation (range, 0–8) 971 −0.01 (−0.02 to 0.01) 0.33
Outcomes reported by parents or caregivers (T score)
 Executive functioning—inhibition 941 0.42 (−0.24 to 1.08) 0.21
 Executive functioning—flexibility 941 0.66 (0.00–1.33) 0.05
 Executive functioning—emotional control 941 0.70 (0.03–1.38) 0.04
 Executive functioning—working memory 941 0.56 (−0.13 to 1.25) 0.10
 Executive functioning—planning and organization 941 0.44 (−0.24 to 1.13) 0.20
 Executive functioning—metacognition 941 0.90 (0.20–1.60) 0.01
 Executive functioning—total score 941 0.67 (0.00–1.34) 0.05
 Emotional/behavioral problems—internalizing problems 941 −0.10 (−0.83 to 0.62) 0.77
 Emotional/behavioral problems—externalizing problems 941 0.17 (−0.48 to 0.81) 0.61
 Emotional/behavioral problems—total problems 941 0.05 (−0.63 to 0.72) 0.89
Clinical neurocognitive tests
 Intelligence (range, 45–155)—total IQ 971 −0.99 (−1.77 to −0.21) 0.01
 Intelligence (range, 45–155)—verbal IQ 971 −1.59 (−2.48 to −0.70) 0.0005
 Intelligence (range, 45–155)—performance IQ 971 0.04 (−0.82 to 0.90) 0.92
 Visual-motor integration (range, 0.9–20) 971 0.02 (−0.16 to 0.19) 0.86
 Alertness (z score)d—reaction time right hand 418 −0.26 (−0.50 to −0.01) 0.03
 Alertness (z score)d—within subject sd of repeated tests 418 −0.24 (−0.50 to 0.02) 0.07
 Alertness (z score)d—reaction time left hand 418 −0.08 (−0.29 to 0.14) 0.48
 Alertness (z score)d—within-subject sd of repeated tests 418 −0.07 (−0.33 to 0.20) 0.62
 Motor coordination (No. of taps in 10s)—No. of taps right hand 418 0.08 (−0.83 to 0.99) 0.86
 Motor coordination (No of taps in 10s)—No. of unimanual taps left hand 418 −0.32 (−1.21 to 0.58) 0.49
 Motor coordination (No. of taps in 10s)—No. of valid alternating taps 418 −1.02 (−3.01 to 0.96) 0.31
 Motor coordination (No. of taps in 10s)—No. of valid synchronous taps 418 −0.55 (−1.69 to 0.60) 0.35
 Verbal-auditory memory numbers (range, 1–19)—memory span (forward) 286 0.37 (−0.03 to 0.77) 0.06
 Verbal-auditory memory numbers (range, 1–19)—working memory (backward) 286 0.54 (0.14–0.94) 0.009
 Memory word pairse—learning 286 −0.01 (−0.03 to 0.02) 0.70
 Memory word pairse—immediate memory 286 0.04 (0.02–0.07) 0.001
 Memory word pairse—delayed memory 286 0.03 (0.01–0.05) 0.01
 Memory word pairse—recognition 286 0.02 (0.00–0.03) 0.03
 Nonverbal, visual-spatial memory—picturese 286 0.02 (0.00–0.03) 0.05
 Nonverbal, visual-spatial memory—dots, learninge 286 0.00 (−0.02 to 0.02) 0.70
 Nonverbal, visual-spatial memory—dots, immediate memorye 286 0.01 (−0.03 to 0.03) 0.75
 Nonverbal, visual-spatial memory—dots, delayed memorye 286 −0.00 (−0.04 to 0.04) 0.91
 Memory learning index (range, 50–150) 286 −2.20 (−4.78 to 0.38) 0.09

IQ = intelligence quotient.

a

For the clinical neurologic evaluation score, higher scores reflect worse performance. For parent-reported executive functioning and emotional and behavioral problems, higher scores reflect worse performance. For intelligence and visual-motor integration, higher scores reflect better performance. For alertness and within sd of repeated tests, higher scores reflect worse performance. For motor coordination, higher scores reflect better performance. For memory tests, higher scores reflect better performance.

b

For difference in scores, “delta” adjusted for risk factors.

c

Age- and gender-adjusted z scores were calculated with the use of reference data from the World Health Organization Growth Charts.

d

Age-adjusted z scores were calculated.

e

Proportion correct responses.

The “delta” of scores for the different tests was calculated as the score at 4-year follow-up minus the score at 2-year follow-up. Outcomes with p values in boldface and italic font represent an improvement in patients compared with healthy controls over time; outcomes with p values in boldface font represent a worsening in patients compared with healthy controls over time.

Boldface values indicate a significant difference (p ≤ 0.05).

Evolution of Physical, Emotional/Behavioral, and Neurocognitive Functions of Former Early-PN Versus Late-PN PICU Patients Over the 2-Year Time-Window

The analyses of interaction between time and group (former early-PN and late-PN PICU patients), assessing differences in time-course from 2- to 4-year follow-up, revealed that time-courses of physical, emotional/behavioral, and neurocognitive functions were largely unaffected by early-PN versus late-PN. Only for visual-motor integration, alertness, and for one verbal memory function, former early-PN PICU patients partially improved over time compared with former late-PN PICU patients (Supplemental Digital Content Figure S3, http://links.lww.com/PCC/C63).

Also, when adjusting for other risk factors, time-courses in physical, emotional/behavioral, and neurocognitive functions were largely unaffected by early-PN versus late-PN, except for the functions that were already obvious in the above-reported univariable repeated-measures analyses (a limited catch-up of early-PN patients toward late-PN patients for visual-motor integration and alertness). Additionally, a relative weight loss in early-PN patients compared with late-PN patients was documented (Supplemental Digital Content Table S3, http://links.lww.com/PCC/C63).

DISCUSSION

This within-individual longitudinal study showed that, compared with healthy children, most physical, emotional/behavioral, and neurocognitive deficits observed in former PICU patients did not recover from 2 to 4 years after PICU admission. In contrast, deficits were found to aggravate over time for growth in height (but not weight), the executive function metacognition, intelligence, motor coordination, and memory learning-index, whereas only verbal memory deficits became somewhat smaller. Adjustment for other risk factors largely confirmed that these findings could be attributed independently to the critical illness and revealed that patients “grew-into-deficit” for even more executive functions and “grew-out-of-deficit” for even more memory functions. Time-courses were largely similar for early-PN patients and late-PN patients, except for a relative weight loss in early-PN patients and a limited catch-up of these patients toward late-PN patients for visual-motor integration and alertness.

WHAT THIS STUDY MEANS

  • Most physical, emotional/behavioral, and neurocognitive deficits observed in former PICU patients did not show improvement from 2 to 4 years after PICU discharge, with several deficits even aggravating over time.

  • Follow-up of critically ill children should not be limited to the first year(s) after PICU admission and further study of the impact of pediatric critical illness, and the nutritional management in the PICU on development into adulthood is needed.

  • Families and caregivers of former PICU patients should be informed about potential longer term consequences, possibly deteriorating over time.

This study, with its within-individual longitudinal design and adjustment for known risk factors, allowed to assess in a sensitive manner whether former PICU patients “grow-into” or “out-of” their physical, emotional/behavioral, and neurocognitive developmental legacies from a mean age of about 5 years to a mean age of about 7 years. The results were rather pessimistic, showing that many developmental deficits remained unaltered or got worse, and only a few memory functions partially improved. Our finding that some developmental outcomes did improve and others deteriorated is in line with the at-first-sight conflicting outcomes of previous smaller studies with variable focus and design (69). Also, the observation that the neurocognitive harm evoked by early use of PN in the PICU only showed limited and partial recovery was disappointing. Together, these data suggest that pediatric critical illness and its treatments may have a long-persisting negative impact. A longer within-individual follow-up trajectory is needed to investigate whether there will be permanent consequences for academic and daily functioning of these former PICU patients. Indeed, neurocognitive functions mature throughout development into young adulthood, with gradual further development of the more complex functions. This implies that increasing deficits could emerge later at a time when more complex functions are developing and require brain structures that may have been damaged during earlier stages. As such, cognitive impairments may be somehow latent or less pronounced early in development and become more prominent later (28). This could explain the “growing-into-deficit” phenomenon (29). In contrast, there may also be a certain plasticity of brain areas after an insult, which could allow catch-up development over time that could explain the “growing-out-of-deficit” (30). However, in the current study, with a time interval from 2 towards 4 years after critical illness, any “growing-out-of-deficit” appeared rather limited.

Instead, we observed a “growing-into-deficit” from 2 to 4 years after PICU admission for several executive functions as reported by parents or caregivers, for intelligence and the memory learning-index, in this heterogeneous cohort of critically ill children compared with the normal trajectory of demographically matched healthy children. An executive function that appeared to be affected was metacognition. This represents the ability to control one’s own cognitive processes, especially when engaged in learning, and the ability to control the effect of one’s own behavior on other people (16). Since parents of PICU children did not report more emotional and behavioral problems over time, the aggravation of metacognition problems for these children is likely attributable to difficulties in the children’s ability to control their own cognitive processes over time. The less-developed metacognition may have hampered learning and is, thus, also reflected in an impaired learning-index for memory tasks and a less-pronounced improvement in general and verbal intelligence, compared with healthy children. Earlier smaller longitudinal studies of patients who underwent surgery for congenital heart diseases did not find such a different trajectory in patients and controls for clinically tested executive functions from ±4 to ±7 years after PICU admission (6, 7). This could be due to the underlying pathology or different evaluation methodologies, or could suggest that the deficit stabilized around 4 years post-PICU. For measures of intelligence, both patients and healthy children improved over time, but patients improved much less. A nonsignificant trend toward a growing-into-deficit for intelligence has been observed in children undergoing surgery for transposition of the great arteries from 5- to 10-year post-PICU (9). In pediatric survivors of Neisseria meningitides-induced septic shock, older age at follow-up combined with younger age at time of illness predicted a lower verbal comprehension-index as IQ subscale, which may indirectly support an aggravation of the IQ deficit with time in a nonlongitudinal design (31). In contrast, IQ showed parallel trajectories in meningitis survivors and controls from 7- to 12-year postillness (32), and children who underwent surgery for congenital heart diseases even showed some growing-out of the IQ deficit from 4 to 7 years after PICU admission (6). Several factors may contribute to differential findings among the studies, including sample size, underlying pathology, and age of the studied children at time of insult and follow-up.

Our study revealed some “growing-out-of” the deficits for several memory functions in patients compared with healthy children over time and one alertness test. The catch-up of memory functions may be explained by the high degree of plasticity of neuronal networks important for memory. After temporal lobe resection for epilepsy, postoperative improvements in memory domains were shown to occur already within 1 year (33, 34), whereas IQ changes are usually seen much later after surgery (35). One could speculate that memory functions recover faster than the more complex functions necessary for executive and intellectual functioning or that patients adapt to their memory deficits over time using compensatory mechanisms. Partial improvement in alertness was also observed from 4 to 7 years after PICU admission in children who underwent surgery for congenital heart diseases (6).

For the other assessed developmental domains, including growth, visual-motor integration, and emotional/behavioral problems, the observed deficits in patients remained stable and important. This is in agreement with previous observations in children from 4 to 7 years after surgery for congenital heart diseases (6). In contrast, two nonlongitudinal studies suggested a “growing-into-deficit” for behavioral problems after traumatic brain injury or brain tumor surgery, based on interaction with time since injury or correlation with age at assessment (36, 37).

The major strength of this study is the longitudinal, parallel developmental follow-up of large groups of former PICU patients and demographically matched developing healthy children with a broad range of validated internationally recognized age-adjusted tests. The study also has some limitations. First, the children were young, and the follow-up focused only on the evolution from 2 to 4 years after PICU admission, a relatively short time period to evaluate development. Our findings can thus not be generalized to further development beyond this timeframe, which needs further investigation. Second, we studied a heterogeneous patient population and, hence, cannot exclude that patients with different underlying illnesses could show a different evolution in the studied outcomes. Third, due to test-age limitations, some functions could not be assessed for all participants. Conclusions for evolution of alertness and motor coordination are based on children who were 2 years or older and those for memory functions on children 3 years or older at the time of PICU admission or recruitment as healthy control. Fourth, we did not have systematic information on access to rehabilitative and follow-up care, though did adjust for socioeconomic status. In addition, potential impact of post-PICU nutritional status or of hospital readmissions within the studied time-window was not assessed. Fifth, we did not correct for multiple comparisons given the exploratory nature of our study and given that the studied developmental outcomes are not independent, which invalidates the use of a stringent statistical correction. Risk of false-positive findings cannot be completely excluded. Finally, no neuroimaging correlates were investigated.

CONCLUSIONS

From 2 to 4 years after PICU admission, the developmental legacy of former PICU patients remained prominent. Impaired growth in height, executive functioning, and intelligence further aggravated and impaired memory and harm evoked by early-PN only partially recovered. These data emphasize that care for and assessment of critically ill children cannot stop at hospital discharge and stress the importance of following-up the children even beyond the first few years after PICU admission. Thus, the impact of pediatric critical illness and the nutritional management in the PICU on development of these children into adulthood should be further investigated.

ACKNOWLEDGMENTS

We thank the psychologists and research team members involved in the study for their help with the neurocognitive testing, and for the technical and administrative support. Furthermore, we thank the children and their parents for their willingness to participate in the study.

Supplementary Material

pcc-23-0580-s001.docx (433KB, docx)

Footnotes

*See also p. 656.

Supplemental digital content is available for this article. Direct URL citations appear in the printed text and are provided in the HTML and PDF versions of this article on the journal’s website (http://journals.lww.com/pccmjournal).

Drs. Vanhorebeek and Van den Berghe contributed equally.

Supported, in part, by European Research Council Advanced Grants (AdvG-2012-321670 from the Ideas Program of the European Union seventh framework program and AdvG-2017-785809 from the Horizon2020 program to Dr. Van den Berghe), by the Methusalem program of the Flemish government (through the University of Leuven to Dr. Van den Berghe, METH/08/07 and to Drs. Verlinden and Van den Berghe, METH14/06), by the Institute for Science and Technology, Flanders, Belgium (through the University of Leuven to Dr. Van den Berghe, IWT/070695/TBM, and IWT/150181/TBM), by the Sophia Foundation to Dr. Verbruggen, by the Stichting Agis Zorginnovatie to Dr. Verbruggen, by Nutricia Research B.V. to Dr. Verbruggen, by the Erasmus Trustfonds to Dr. Verbruggen, and by an European Society for Clinical Nutrition and Metabolism research grant to Dr. Verbruggen.

The remaining authors have disclosed that they do not have any potential conflicts of interest.

Data sharing is offered under the format of collaborative projects. Proposals can be directed to the corresponding author.

REFERENCES

  • 1.Mesotten D, Gielen M, Sterken C, et al. : Neurocognitive development of children 4 years after critical illness and treatment with tight glucose control: A randomized controlled trial. JAMA 2012; 308:1641–1650 [DOI] [PubMed] [Google Scholar]
  • 2.Banwell BL, Mildner RJ, Hassall AC, et al. : Muscle weakness in critically ill children. Neurology 2003; 61:1779–1782 [DOI] [PubMed] [Google Scholar]
  • 3.Verstraete S, Verbruggen SC, Hordijk JA, et al. : Long-term developmental effects of withholding parenteral nutrition for 1 week in the paediatric intensive care unit: A 2-year follow-up of the PEPaNIC international, randomised, controlled trial. Lancet Respir Med 2019; 7:141–153 [DOI] [PubMed] [Google Scholar]
  • 4.Jacobs A, Dulfer K, Eveleens RD, et al. : Long-term developmental effect of withholding parenteral nutrition in paediatric intensive care units: a 4-year follow-up of the PEPaNIC randomised controlled trial. Lancet Child Adolesc Health 2020; 4:503–514 [DOI] [PubMed] [Google Scholar]
  • 5.Kachmar AG, Irving SY, Connolly CA, et al. : A systematic review of risk factors associated with cognitive impairment after pediatric critical illness. Pediatr Crit Care Med 2018; 19:e164–e171 [DOI] [PubMed] [Google Scholar]
  • 6.Sterken C, Lemiere J, Van den Berghe G, et al. : Neurocognitive development after pediatric heart surgery. Pediatrics 2016; 137:e20154675. [DOI] [PubMed] [Google Scholar]
  • 7.Calderon J, Jambaqué I, Bonnet D, et al. : Executive functions development in 5- to 7-year-old children with transposition of the great arteries: A longitudinal study. Dev Neuropsychol 2014; 39:365–384 [DOI] [PubMed] [Google Scholar]
  • 8.Anderson V, Godfrey C, Rosenfeld JV, et al. : Predictors of cognitive function and recovery 10 years after traumatic brain injury in young children. Pediatrics 2012; 129:e254–e261 [DOI] [PubMed] [Google Scholar]
  • 9.Hövels-Gürich HH, Seghaye MC, Schnitker R, et al. : Long-term neurodevelopmental outcomes in school-aged children after neonatal arterial switch operation. J Thorac Cardiovasc Surg 2002; 124:448–458 [DOI] [PubMed] [Google Scholar]
  • 10.Fivez T, Kerklaan D, Mesotten D, et al. : Early versus late parenteral nutrition in critically ill children. N Engl J Med 2016; 374:1111–1122 [DOI] [PubMed] [Google Scholar]
  • 11.Verlinden I, Dulfer K, Vanhorebeek I, et al. : Role of age of critically ill children at time of exposure to early or late parenteral nutrition in determining the impact hereof on long-term neurocognitive development: A secondary analysis of the PEPaNIC-RCT. Clin Nutr 2021; 40:1005–1012 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Güiza F, Vanhorebeek I, Verstraete S, et al. : Effect of early parenteral nutrition during paediatric critical illness on DNA methylation as a potential mediator of impaired neurocognitive development: A pre-planned secondary analysis of the PEPaNIC international randomised controlled trial. Lancet Respir Med 2020; 8:288–303 [DOI] [PubMed] [Google Scholar]
  • 13.Jacobs A, Güiza F, Verlinden I, et al. : Differential DNA methylation by early versus late parenteral nutrition in the PICU: A biological basis for its impact on emotional and behavioral problems documented 4 years later. Clin Epigenetics 2021; 13:146. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Verlinden I, Güiza F, Derese I, et al. : Time course of altered DNA methylation evoked by critical illness and by early administration of parenteral nutrition in the paediatric ICU. Clin Epigenetics 2020; 12:155. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Fivez T, Kerklaan D, Verbruggen S, et al. : Impact of withholding early parenteral nutrition completing enteral nutrition in pediatric critically ill patients (PEPaNIC trial): Study protocol for a randomized controlled trial. Trials 2015; 16:202. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Van der Heijden KB, Suurland J, De Sonneville LM, et al. : BRIEF-P Vragenlijst Voor Executieve Functies Voor 2- Tot 5-Jarigen: Handleiding. Amsterdam, The Netherlands, Hogrefe, 2013 [Google Scholar]
  • 17.Huizinga M, Smidts D: BRIEF Vragenlijst Executieve Functies Voor 5- Tot 18-Jarigen: Handleiding. Amsterdam, The Netherlands, Hogrefe, 2012 [Google Scholar]
  • 18.Achenbach TM, Rescorla LA: Manual for the ASEBA Preschool Forms and Profiles. Burlington, VT, University of Vermont, Research Center for Children, Youth and Families, 2000 [Google Scholar]
  • 19.Verhulst FC, Van der Ende J: Handleiding ASEBA. Vragenlijsten voor leeftijd van 6 tot en met 18 years [ASEBA Manual Questionnaires for ages 6 to 18 years]. Rotterdam, The Netherlands, ASEBA Nederland, 2013 [Google Scholar]
  • 20.Hendriksen J, Hurks P: WPPSI-III-NL Wechsler Preschool and Primary Scale of Intelligence: Handleiding. Amsterdam, The Netherlands, Pearson, 2010 [Google Scholar]
  • 21.Wechsler D: WISC-III Nederlandstalige Bewerking. Handleiding. Amsterdam, The Netherlands, Pearson, 2005 [Google Scholar]
  • 22.Wechsler D: WAIS-III Nederlandstalige Bewerking. Afname en Scoringshandleiding. Amsterdam, The Netherlands, Pearson, 2012 [Google Scholar]
  • 23.Beery KE, Buktenica NA, Beery NA: The Beery-Buktenica Developmental Test of Visual-Motor Integration. 6th Edition. Amsterdam, The Netherlands, Pearson, 2010 [Google Scholar]
  • 24.De Sonneville L: Handboek Amsterdamse Neuropsychologische Taken. Amsterdam, The Netherlands, Boom Test Uitgevers, 2014 [Google Scholar]
  • 25.Cohen MJ: Children’s Memory Scale Manual. Bloomington, MN, Pearson, 1997 [Google Scholar]
  • 26.Wulff J, Jeppesen L: Multiple imputation by chained equations in praxis: Guidelines and review. Electron J Bus Res Methods 2017; 15:41–56 [Google Scholar]
  • 27.Reiner A, Yekutieli D, Benjamini Y: Identifying differentially expressed genes using false discovery rate controlling procedures. Bioinformatics 2003; 19:368–375 [DOI] [PubMed] [Google Scholar]
  • 28.Bellinger DC, Newburger JW: Neuropsychological, psychosocial, and quality-of-life outcomes in children and adolescents with congenital heart disease. Prog Pediatric Cardiol 2010; 29:87–92 [Google Scholar]
  • 29.Anderson VA, Anderson P, Northam E, et al. : Development of executive functions through late childhood and adolescence in an Australian sample. Dev Neuropsychol 2001; 20:385–406 [DOI] [PubMed] [Google Scholar]
  • 30.Anderson V, Spencer-Smith M, Wood A: Do children really recover better? Neurobehavioural plasticity after early brain insult. Brain 2011; 134:2197–2221 [DOI] [PubMed] [Google Scholar]
  • 31.Vermunt LC, Buysse CM, Aarsen FK, et al. : Long-term cognitive functioning in children and adolescents who survived septic shock caused by Neisseria meningitidis. Br J Clin Psychol 2009; 48:195–208 [DOI] [PubMed] [Google Scholar]
  • 32.Anderson V, Anderson P, Grimwood K, et al. : Cognitive and executive function 12 years after childhood bacterial meningitis: Effect of acute neurologic complications and age of onset. J Pediatr Psychol 2004; 29:67–81 [DOI] [PubMed] [Google Scholar]
  • 33.Stretton J, Sidhu MK, Winston GP, et al. : Working memory network plasticity after anterior temporal lobe resection: A longitudinal functional magnetic resonance imaging study. Brain 2014; 137:1439–1453 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Jambaqué I, Dellatolas G, Fohlen M, et al. : Memory functions following surgery for temporal lobe epilepsy in children. Neuropsychologia 2007; 45:2850–2862 [DOI] [PubMed] [Google Scholar]
  • 35.Skirrow C, Cross JH, Cormack F, et al. : Long-term intellectual outcome after temporal lobe surgery in childhood. Neurology 2011; 76:1330–1337 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Karver CL, Wade SL, Cassedy A, et al. : Age at injury and long-term behavior problems after traumatic brain injury in young children. Rehabil Psychol 2012; 57:256–265 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Aarsen FK, Paquier PF, Reddingius RE, et al. : Functional outcome after low-grade astrocytoma treatment in childhood. Cancer 2006; 106:396–402 [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

pcc-23-0580-s001.docx (433KB, docx)

Articles from Pediatric Critical Care Medicine are provided here courtesy of Wolters Kluwer Health

RESOURCES