ArticleJournal of pediatric intensive care2023
Performance of Cornell Assessment of Pediatric Delirium Scale in Mechanically Ventilated Children.
Article in Journal of pediatric intensive care, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed, 8 citations in OpenAlex.
- Pharmacokinetics, safety and preliminary efficacy study of montelukast in critically ill infants with developing bronchopulmonary dysplasia (PRISM).Contemporary clinical trials communications · 2026Article
- Immune effector cell-associated neurotoxicity syndrome following CAR T-cell therapy: a review of recent advances.Journal of translational medicine · 2025Review
- Refractory agitation in the NICU: challenges in prevention, diagnosis, and treatment.Frontiers in pediatrics · 2025Article
- Assessment of intensive care unit delirium in developmentally delayed children.Pediatric research · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Accuracy of delirium diagnosis in mechanically ventilated children is often limited by their varying developmental abilities. The purpose of this study was to examine the performance of the Cornell Assessment of Pediatric Delirium (CAPD) scale in these patients. This is a single-center, prospective, observational study of patients requiring sedation and mechanical ventilation for 2 days or more. CAPD scale was implemented in our unit for delirium screening. Each CAPD assessment was accompanied by a physician assessment using Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-V) criteria. Sensitivity analysis was performed to determine the best cut-off score in our target population. We also evaluated ways to improve the accuracy of this scale in patients with and without developmental delay. A total of 837 paired assessments were performed. Prevalence of delirium was 19%. Overall, CAPD score ≥ 9 had sensitivity of 81.8% and specificity of 44.8%. Among typically developed patients, the sensitivity and specificity were 76.7 and 65.4%, respectively, whereas specificity was only 16.5% for developmentally delayed patients. The best cut-off value for CAPD was 9 for typically developed children and 17 for those with developmental delay (sensitivity 74.4%, specificity 63.2%). Some CAPD questions do not apply to patients with sensory and neurocognitive deficits; upon excluding those questions, the best cut-off values were 5 for typically developed and 6 for developmentally delayed children. In mechanically ventilated patients with developmental delay, CAPD ≥ 9 led to a high false-positive rate. This emphasizes the need for either a different cut-off score or development of a delirium scale specific to this patient population.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.