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Sleep Disturbance Trajectories in Critically Ill Children Post-ICU Discharge: A Longitudinal Observational Study
Wenchao Wang1, Xiaorui Fan2, Yuxia Yang1
1Children's Hospital of Fudan University, Shanghai 201102, China.
Insights
Children
Area of Science:
- Pediatric critical care medicine
- Pediatric sleep medicine
- Child psychology and development
Background:
- Sleep disturbances significantly impact children's development, but post-pediatric intensive care unit (PICU) sleep changes and influencing factors remain understudied.
- Understanding sleep quality trajectories after PICU discharge is crucial for addressing developmental impacts.
- This study investigates sleep quality changes and associated factors in children following PICU admission.
Purpose of the Study:
- To explore the changes in sleep quality among critically ill children after PICU discharge.
- To identify factors influencing children's sleep quality up to three months post-PICU discharge.
- To inform targeted interventions for improving sleep in this vulnerable population.
Main Methods:
- A longitudinal observational study conducted at a tertiary children's hospital from November 2022 to November 2023.
- The Children's Sleep Habits Questionnaire (CSHQ) assessed sleep problems at multiple time points: PICU admission, and 1 week to 3 months post-discharge.
- Latent category growth modeling, univariate analysis, and logistic regression analyzed sleep trajectories and influencing factors.
Main Results:
- Sleep disturbances were prevalent, peaking at 83.5% one month post-PICU discharge.
- Latent trajectory analysis identified three distinct sleep change patterns: high, moderate, and no sleep disorders.
- Child's age and surgical history were identified as independent factors associated with persistent sleep disturbances.
Conclusions:
- The first month post-PICU discharge represents a critical period for sleep disturbances, necessitating timely interventions.
- Persistent sleep disorders post-PICU highlight the need for ongoing monitoring and support.
- Findings underscore the importance of addressing sleep quality to support children's overall recovery and development after critical illness.
Abstract:
Background/Objectives: Sleep disturbances have an impact on children's physical and psychological development, yet little is known about the changes and factors influencing sleep after PICU discharge. To explore the trajectory of changes in sleep quality of critically ill children and to identify factors affecting sleep quality three months after Pediatric Intensive Care Unit (PICU) discharge. Methods: A longitudinal observation study was conducted between November 2022 and November 2023 at a tertiary children's hospital. The Children's Sleep Habits Questionnaire (CSHQ) was used at six time points: PICU-admission (T0), 1 week (T1), 2 weeks (T2), 1 month (T3), 2 months (T4), and 3 months (T5) after PICU discharge. The CSHQ is a 33-item parent-report outcome measure evaluating sleep problems. Total scores range between 33 and 99 points. A score of ≤41 indicates normal sleep; a score of >41 indicates sleep disturbance. Data were analyzed using the latent category growth model, univariate analysis, and multifactorial logistic regression. Results: Parents of 237 children completed all follow-up surveys. Prevalence of sleep disorders at T0-T5 of children with a score >41 were 46.5%, 83.5%, 69.7%, 54.3%, 50.2%, and 51.7%, respectively. General linear modeling revealed significant changes in CSHQ scores over time (F = 63.77, p < 0.05). The trajectories of identifying sleep changes were divided into three latent categories: High Sleep Disorder Group (n = 15, 6.33%), Moderate Sleep Disorder Group (n = 110, 45.2%), and No Sleep Disorder Group (n = 115, 48.52%). The trajectories were significantly different among preschool age, baseline sleep habit scores, surgery, and length-of-stay in pediatric wards (p < 0.05). The child's age and surgical history were independent factors of sleep disturbance. Conclusions: The observed peak in sleep disturbances at 1-month post-PICU suggests that this period may be a critical window to develop and implement targeted interventions to improve sleep. The persistent sleep disorders highlight the need for long-term monitoring.
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