Diagnostic considerations regarding pediatric delirium: a review and a proposal for an algorithm for pediatric intensive care units (original) (raw)
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Detecting pediatric delirium: development of a rapid observational assessment tool
Intensive Care Medicine, 2012
Objective: Development of a novel screening tool for the detection of delirium in pediatric intensive care unit (PICU) patients of all ages by comparison with psychiatric assessment based on the reference standard Diagnostic and Statistical Manual of Mental Disorders (DSM-IV) criteria. Methods: This was a prospective blinded pilot study investigating the feasibility of the Cornell Assessment of Pediatric Delirium (CAP-D) performed in a PICU at a university hospital. Fifty patients, ages 3 months to 21 years, admitted to the PICU over a 6-week period were included. No interventions were performed. Results: After informed consent was obtained, two study teams independently assessed for delirium by completing the CAP-D and by conducting psychiatric evaluation based on the DSM-IV criteria. Concordance between the CAP-D and DSM-IV criteria was excellent, at 97%. Prevalence of delirium in this sample was 29%. Conclusion: The CAP-D may be a valid screen for identification of delirium in PICU patients of all ages. Further studies are required to explore its validity, inter-rater reliability, and feasibility of use as a nursing screen.
Acta Anaesthesiologica Scandinavica, 2019
Pediatric Intensive Care Units (PICU's) receive children with severe illness and in urgent need of specialized care. 1 These children are at risk for delirium, a serious medical problem defined as acute cerebral dysfunction caused by systemic disease or the effects of treatment. 2 Several factors can lead to an increased risk of developing pediatric delirium (PD), for example, sight and hearing limitations, fever, infection and sepsis, acidosis, electrolyte displacements, heavy sedation, insertion of a large number of invasive vascular catheters. 3 Delirium can be divided into three types: (a) hyperactive delirium manifested by restlessness, psychomotor hyperactivity, aggression and emotional lability; (b) hypoactive delirium which is an apathetic, lethargic, slow psychomotor responses, with depressive features; (c) mixed delirium, which includes hyper-and hypoactive signs of delirium. 4 Evaluation and treatment of delirium in critically ill children has garnered attention in the world of pediatrics. 5-7 There are only a few international studies on PD and these studies suggest a prevalence rating from 25% to 66%. 7-13 PD is associated with high morbidity and mortality and prolonged lengths of stay in intensive care. 10,14 So far, the evidence on PD in Denmark is limited. 15 It is likely that the actual frequency is significantly higher, as delirium is often missed without routine screening. 7 Thus, valid tools that can measure delirium accurately in a PICU are required to determine prevalence, risk factors, and outcomes. 14 Internationally, there are validated tools to assess PD. 1,14 In recent years three validated PD screening tools have been developed for PICUs: The Pediatric Confusion Assessment Method for the ICU (pCAM-ICU), the Preschool Confusion Assessment Method for the ICU (psCAM-ICU), and the Cornell Assessment of Pediatric Delirium (CAPD). 10,16,17 The pCAM-ICU is an interactive,
2011
Delirium is a poor-prognosis neuropsychiatric disorder. Pediatric delirium (PD) remains understudied, particularly at pediatric intensive care units (PICU). Although the Pediatric Anesthesia Emergence Delirium (PAED) scale, the Delirium Rating Scale (DRS-88), and the Delirium Rating Scale-Revised (DRS-R-98) are available, none have been validated for use in PICU settings. The aim of the present study was to investigate the use of the DRS/PAED instruments as diagnostic tools for PD in the PICU. Methods: A prospective panel study was conducted, under circumstances of routine clinical care, investigating the diagnostic properties of the PAED, DRS-88, and DRS-R-98 in PICU patients at a tertiary university medical center. A total of 182 non-electively admitted, critically ill pediatric patients, aged 1-17 years, were included between November 2006 and February 2010. Sensitivity, specificity, and receiver operating characteristic (ROC) curves were calculated. Three psychometric properties were analyzed: (1) internal consistency (2) proportion of items not rateable, and (3) discriminative ability. Results: The PAED could be completed in 144 (93.5%) patients, much more frequently than either the DRS-88 (66.9%) or the DRS-R-98 (46.8%). Compared with the clinical gold standard diagnosis of delirium, the PAED had a sensitivity of 91% and a specificity of 98% (AUC 0.99). The optimal PAED cutoff score as a screening instrument in this PICU setting was 8. Cronbach's alpha was 0.89; discriminative ability was high. Conclusions: The PAED is a valid instrument for PD in critically ill children, given its reliance on routinely rateable observational signs and symptoms.
Validity of Different Delirium Assessment Tools for Critically Ill Children
Critical Care Medicine, 2016
Objectives: To evaluate test validity of the Pediatric Confusion Assessment Method for the ICU, the Pediatric Anesthesia Emergence Delirium scale, and the newly developed severity scale for the Pediatric Confusion Assessment Method for the ICU; to prospectively assess covariates and their influence on test validity of the scores. Design: Prospective observational cohort study. Setting: PICU of a tertiary care medical center. Patients: Critically ill patients 5 years old or older ventilated or nonventilated with an ICU length of stay of at least 24 hours. Interventions: None. Measurements and Main Results: Patients were scored with the Pediatric Confusion Assessment Method for the ICU and the Pediatric Anesthesia Emergence Delirium scale once daily for a maximum of 21 days. Validity was determined by comparing scoring results with the evaluations of the delirium experts who used the criteria of the Diagnostic and Statistical Manual, 4th Edition, Text Revision, for delirium diagnosis. Sixty-four patients were enrolled and 214 assessments were conducted and included in data analysis. The first assessments within each patient revealed sensitivities of 69.2% for the Pediatric Anesthesia Emergence Delirium scale, 76.9% for the Pediatric Confusion Assessment Method for the ICU, and 84.9% for the severity scale for the Pediatric Confusion Assessment Method for the ICU. Specificities were 98% for all scores. Considering repeated measurements, sensitivities decreased to 35.9% for the Pediatric Anesthesia Emergence Delirium scale and to 52.3% for the Pediatric Confusion Assessment Method for the ICU. The sensitivity of the severity scale for the Pediatric Confusion Assessment Method for the ICU dropped to 71.8%, which was significantly higher compared to the Pediatric Anesthesia Emergence Delirium scale (p = 0.0008). Receiver operator characteristic regression unveiled that sedation and mechanical ventilation had a significant negative effect on the validity of the Pediatric Anesthesia Emergence Delirium scale and the severity scale for the Pediatric Confusion Assessment Method for the ICU. Age and gender had a significant impact on the receiver operator characteristic curve of the severity scale for the Pediatric Confusion Assessment Method for the ICU. Conclusions: The severity scale for the Pediatric Confusion Assessment Method for the ICU showed the best test validity when used in critically ill children of 5 years old or older. Nevertheless, validity of delirium screening itself depends on patient specific factors. These factors should be taken into consideration when choosing a delirium screening instrument.
Intensive & critical care nursing, 2018
To describe the prevalence and characteristics of delirium during the initial evaluation of critically ill patients aged 5-14 years. This is a cross-sectional descriptive study in a critical care unit. For six months, all patients were evaluated within the first 24-72 hours or when sedation permitted the use of the paediatric confusion assessment method for the intensive care unit (PCAM-ICU) and the Delirium Rating Scale-Revised-98 items #7 and #8 to determine motor type. We report the characteristics of PCAM-ICU delirium (at least three of the required items scored positive) and of subthreshold score cases (two positive items). Of 77 admissions, 15 (19.5%) had delirium, and 11 (14.2%) were subthreshold. A total of 53.3% of delirium and 45.5% of subthreshold cases were hypoactive. The prevalence of delirium and subthreshold PCAM-ICU was 83.3% and 16.7% in mechanically ventilated children. The most frequent combination of PCAM-ICU alterations in subthreshold cases was acute onset-flu...
Cornell Assessment of Pediatric Delirium
Critical Care Medicine, 2014
Objective: To determine validity and reliability of the Cornell Assessment of Pediatric Delirium, a rapid observational screening tool. Design: Double-blinded assessments were performed with the Cornell Assessment of Pediatric Delirium completed by nursing staff in the PICU. These ratings were compared with an assessment by consultation liaison child psychiatrist using the Diagnostic and Statistical Manual IV criteria as the "gold standard" for diagnosis of delirium. An initial series of duplicate Cornell Assessment of Pediatric Delirium assessments were performed in blinded fashion to assess interrater reliability. Nurses recorded the time required to complete the Cornell Assessment of Pediatric Delirium screen. Setting: Twenty-bed general PICU in a major urban academic medical center over a 10-week period, March-May 2012. Patients: One hundred eleven patients stratified over ages ranging from 0 to 21 years and across developmental levels. Intervention: Two hundred forty-eight paired assessments completed. Measurements and Main Results: The Cornell Assessment of Pediatric Delirium had an overall sensitivity of 94.1% (95% CI, 83.8-98.8%) and specificity of 79.2% (95% CI, 73.5-84.9%). Overall Cronbach's α of 0.90 was observed, with a range of 0.87-0.90 for each of the eight items, indicating good internal consistency. A scoring cut point of 9 demonstrated good interrater reliability of the Cornell Assessment of Pediatric Delirium when comparing results of the screen between nurses (overall κ = 0.94; item range κ = 0.68-0.78). In patients without significant developmental delay, sensitivity was 92.0% (95% CI, 85.7-98.3%) and specificity was 86.5% (95% CI, 75.4-97.6%). In developmentally delayed children, the Cornell Assessment of Pediatric Delirium showed decreased specificity of 51.2% (95% CI, 24.7-77.8%) but sensitivity remained high at 96.2% (95% CI, 86.5-100%). The Cornell Assessment of Pediatric Delirium takes less than 2 minutes to complete. Conclusions: With an overall prevalence rate of 20.6% in our study population, delirium is a common problem in pediatric critical care. The Cornell Assessment of Pediatric Delirium is a valid, rapid, observational nursing screen that is urgently needed for the detection of delirium in PICU settings.
Infant Delirium in Pediatric Critical Care Settings
American Journal of Psychiatry, 2010
Pediatric delirium is an important comorbidity of medical illness in inpatient pediatric care that has lacked a consistent approach for detection and management. A clinical pathway (CP) was developed to address this need. Pediatric delirium contributes significantly to morbidity, mortality, and costs of inpatient care of medically ill children and adolescents. Screening for delirium in hospital settings with validated tools is feasible and effective in reducing delirium and improving outcomes; however, multidisciplinary coordination is required for implementation. The workgroup, composed of international experts in child and adolescent consultation psychiatry, reviewed the literature and developed a flowchart for feasible screening and management of pediatric delirium. When evidence was lacking, expert consensus was reached; stakeholder feedback was included to create the final pathway. A CP expert collaborated with the workgroup. Two sequential CPs were created: (1) "Prevention and Identification of Pediatric Delirium" emphasizes the need for systematic preventive measures and screening, and (2) "Diagnosis and Management of Pediatric Delirium" recommends an urgent and ongoing search for the underlying causes to reverse the syndrome while providing symptomatic management focused on comfort and safety. Detailed accompanying documents explain the supporting literature and the rationale for recommendations and provide resources such as screening tools and implementation guides. Additionally, the role of the child and adolescent consultation-liaison psychiatrist as a resource for collaborative care of patients with delirium is discussed.
Archives of Neuroscience
Background: Delirium is often not diagnosed or treated in pediatric intensive care unit (PICU). Delirium leads to a longer hospital stay period, which in turn can result in an increase in hospital treatment costs and an increase in the risk of nosocomial infections. Objectives: The present study aimed to determine the prevalence of delirium and its risk factors in PICU pediatric. Methods: This cross-sectional study was conducted in 2021 - 2022 in hospitals affiliated to Kermanshah University of Medical Sciences. The data collection instruments included the Richmond Agitation-Sedation Scale (RASS) and the Cornell Assessment of Pediatric Delirium (CAPD) questionnaire. Delirium was assessed by the researcher twice a day, in the morning and the evening. The assessment was carried out by a trained person, and the examination results were confirmed by an anesthesiologist who was a member of the research team. Data analysis was carried out using SPSS ver. 16. Results: According to our stud...