School Performance After Pediatric Intensive Care-Association of Mental Well-Being, Chronic Illnesses, and Family Socioeconomic Status

Neurodevelopmental outcome and quality of life in children admitted to the paediatric intensive care unit: A single-centre Australian cohort study

BACKGROUND

The development of new morbidities has become increasingly identified in paediatric critical care medicine. To date, there has been limited research of long-term outcomes following paediatric critical illness in Australia.

OBJECTIVES

The objective of this study was to quantify neurodevelopmental impairments in children following paediatric intensive care unit (PICU) discharge and their association with health-related quality of life (HRQoL).

METHODS

A single-centre ambidirectional cohort study at an Australian hospital. Parents of children admitted to the PICU between 2015 and 2017 were invited to participate. Neurodevelopmental outcome and HRQoL was prospectively evaluated, using the Ages and Stages Questionnaire (<5 years), Strengths and Difficulties Questionnaire (≥5 years), and Pediatric Quality of Life Inventory™, respectively.

RESULTS

A total of 230 parents of critically ill children participated. Children were 1.9 years old (median, interquartile range [IQR]: 0.2, 7.5), male (59.6%), and ventilated (49.1%) at PICU admission. The median time to follow-up was 24.4 months (IQR: 16.3, 36.7). Parent respondents were more likely to be female (85.5%), White (88.3%), and partnered (81.1%). The incidence of overall neurodevelopmental impairment was 30% (33% in children aged <5 years; 24% in children aged ≥5 years). The incidence of poor HRQoL was 37.9%. History of developmental delay was independently associated with overall neurodevelopmental impairment (adjusted odds ratio [aOR]: 4.21, 95% confidence interval: 2.05, 8.63) and poor HRQoL (aOR: 7.29, 95% confidence interval: 3.26, 16.27). Two or more PICU admissions (aOR: 4.10, IQR: 1.82, 9.26) was also associated with poor HRQoL.

CONCLUSIONS

This is the first contemporary view of PICU long-term outcomes conducted in Australia and significantly informs ongoing research in this area. Approximately one-third of PICU survivors demonstrate neurodevelopmental impairment and reduced quality of life. Multiple domains of post-intensive care syndrome-paediatrics must be considered to have a comprehensive understanding of child outcomes. Assessment of baseline/premorbid functioning is also essential in order to understand the true impact of illness and PICU admission.

Assessment of Factors Associated With Mental Well-Being Among Chinese Youths at Individual, School, and Province Levels

Importance

Although rapid urbanization in China provided improved economic prosperity and educational opportunities, it was associated with increased internalizing and externalizing problems among youths, with negative outcomes for mental well-being. Previous studies suggested that factors in individual, school, and regional levels were associated with mental well-being, and comprehensively examining these factors may provide evidence for policies for improving youth mental health.

Objective

To investigate factors associated with mental well-being at individual, school, and province levels among Chinese youths.

Design, Setting, and Participants

This cross-sectional study analyzed nationally representative data collected December 1, 2021, to January 1, 2022, from schools in China. Among 435 schools, 144 institutions had primary school students, 107 institutions had middle school students, 95 institutions had primary and middle school students, and 89 institutions had high school students. A total of 398 520 students were included.

Exposures

Characteristics at individual, school, and province levels.

Main outcomes and measures

The main outcome was mental well-being, assessed by the Short Warwick-Edinburgh Mental Well-being Scale. Linear mixed-effects models were used to investigate individual, school, and regional disparities in mental well-being among youths.

Results

There were 398 520 participants (194 460 females [48.80%]; mean [SD; range] age, 13.78 [2.40; 9-20] years). At the school level, 352 443 students (88.44%) were in public school and 291 354 students (73.11%) were in urban schools. Drinking (coefficient = -1.08; 95% CI, -1.12 to -1.05; P < .001), smoking (coefficient = -0.89; 95% CI, -0.96 to -0.83; P < .001), and increased age (coefficient per 1-year increase in age = -0.02; 95% CI, -0.03 to -0.01; P < .001) were associated with worse mental well-being. Male sex (coefficient = 1.01; 95% CI, 0.98 to 1.04; P < .001), being in a 1-child family (coefficient = 0.17; 95% CI, 0.13 to 0.20; P < .001), being in the Han group (coefficient vs other ethnic groups = 0.20; 95% CI, 0.14 to 0.26; P < .001), a higher frequency and coverage of psychological courses (eg, ≥2/wk for all students vs none: coefficient = 1.02; 95% CI, 0.36 to 1.69; P = .003), and a higher level of self-rated popularity in school (coefficient per 1-unit increase in score = 0.89; 95% CI, 0.88 to 0.89; P < .001) were associated with improved mental well-being. However, age (eg, age and 1 courses/2 wk for all students: coefficient per 1-year increase in age = -0.047; 95% CI, -0.089 to -0.005; P = .03) and sex (eg, female sex and ≥2 courses/wk for some students: coefficient = -0.184; 95% CI, -0.323 to -0.046; P = .009) had interactions with the association between psychological courses and mental well-being.

Conclusions and relevance

This study found that social disparities in mental well-being existed and that various factors at different levels were associated with mental well-being among Chinese youths. These findings suggest that public mental health programs may be recommended for associated improvements in regional disparities in mental health resources.

Machine learning to predict poor school performance in paediatric survivors of intensive care: a population-based cohort study

PURPOSE

Whilst survival in paediatric critical care has improved, clinicians lack tools capable of predicting long-term outcomes. We developed a machine learning model to predict poor school outcomes in children surviving intensive care unit (ICU).

METHODS

Population-based study of children < 16 years requiring ICU admission in Queensland, Australia, between 1997 and 2019. Failure to meet the National Minimum Standard (NMS) in the National Assessment Program-Literacy and Numeracy (NAPLAN) assessment during primary and secondary school was the primary outcome. Routine ICU information was used to train machine learning classifiers. Models were trained, validated and tested using stratified nested cross-validation.

RESULTS

13,957 childhood ICU survivors with 37,200 corresponding NAPLAN tests after a median follow-up duration of 6 years were included. 14.7%, 17%, 15.6% and 16.6% failed to meet NMS in school grades 3, 5, 7 and 9. The model demonstrated an Area Under the Receiver Operating Characteristic curve (AUROC) of 0.8 (standard deviation SD, 0.01), with 51% specificity to reach 85% sensitivity [relative Area Under the Precision Recall Curve (rel-AUPRC) 3.42, SD 0.06]. Socio-economic status, illness severity, and neurological, congenital, and genetic disorders contributed most to the predictions. In children with no comorbidities admitted between 2009 and 2019, the model achieved a AUROC of 0.77 (SD 0.03) and a rel-AUPRC of 3.31 (SD 0.42).

CONCLUSIONS

A machine learning model using data available at time of ICU discharge predicted failure to meet minimum educational requirements at school age. Implementation of this prediction tool could assist in prioritizing patients for follow-up and targeting of rehabilitative measures.

Association of Acute Respiratory Failure in Early Childhood With Long-term Neurocognitive Outcomes

IMPORTANCE

Approximately 23 700 US children undergo invasive mechanical ventilation for acute respiratory failure annually, with unknown long-term effects on neurocognitive function.

OBJECTIVE

To evaluate neurocognitive outcomes of children who survive pediatric intensive care unit (PICU) hospitalization for acute respiratory failure compared with their biological siblings.

DESIGN, SETTING, AND PARTICIPANTS

Prospective sibling-matched cohort study conducted at 31 US PICUs and associated neuropsychology testing centers. Patients were 8 years or younger with a Pediatric Cerebral Performance Category score of 1 (normal) before PICU admission and less than or equal to 3 (no worse than moderate neurocognitive dysfunction) at PICU discharge, excluding patients with a history of neurocognitive deficits or who were readmitted and underwent mechanical ventilation. Biological siblings were aged 4 to 16 years at testing, with Pediatric Cerebral Performance Category score of 1 and no history of mechanical ventilation or general anesthesia. A total of 121 sibling pairs were enrolled from September 2, 2014, to December 13, 2017, and underwent neurocognitive testing starting March 14, 2015. The date of the final follow-up was November 6, 2018.

EXPOSURES

Critical illness and PICU treatment for acute respiratory failure.

MAIN OUTCOMES AND MEASURES

The primary outcome was IQ, estimated by the age-appropriate Vocabulary and Block Design subtests of the Wechsler Intelligence Scale. Secondary outcomes included measures of attention, processing speed, learning and memory, visuospatial skills, motor skills, language, and executive function. Evaluations occurred 3 to 8 years after hospital discharge.

RESULTS

Patients (n = 121; 55 [45%] female patients) underwent PICU care at a median (IQR) age of 1.0 (0.2-3.2) years, received a median (IQR) of 5.5 (3.1-7.7) days of invasive mechanical ventilation, and were tested at a median (IQR) age of 6.6 (5.4-9.1) years. Matched siblings (n = 121; 72 [60%] female siblings) were tested at a median (IQR) age of 8.4 (7.0-10.2) years. Patients had a lower mean estimated IQ than matched siblings (101.5 vs 104.3; mean difference, -2.8 [95% CI, -5.4 to -0.2]). Among secondary outcomes, patients had significantly lower scores than matched siblings on nonverbal memory (mean difference, -0.9 [95% CI, -1.6 to -0.3]), visuospatial skills (mean difference, -0.9 [95% CI, -1.8 to -0.1]), and fine motor control (mean difference, -3.1 [95% CI, -4.9 to -1.4]) and significantly higher scores on processing speed (mean difference, 4.4 [95% CI, 0.2-8.5]). There were no significant differences in the remaining secondary outcomes, including attention, verbal memory, expressive language, and executive function.

CONCLUSIONS AND RELEVANCE

Among children, survival of PICU hospitalization for respiratory failure and discharge without severe cognitive dysfunction was associated with significantly lower subsequent IQ scores compared with matched siblings. However, the magnitude of the difference was small and of uncertain clinical importance.