Prevalence of ICU Delirium in Postoperative Pediatric Cardiac Surgery Patients

Intra- and early postoperative predictors of delirium risk in cardiac surgery: results from the prospective observational FINDERI study

BACKGROUND

Postoperative delirium (POD) is a severe complication following cardiac surgery and is associated with increased morbidity and mortality. The impact of intra- and early postoperative factors on the occurrence of POD following cardiac surgery remains controversial. To close this gap, we investigated intra- and early postoperative factors and their predictive values for POD.

METHODS

We performed a prospective observational study that aimed to FIND DElirium RIsk factors (FINDERI) for patients undergoing elective cardiac surgery. POD was assessed using the Confusion Assessment Method algorithm. Intra- and early postoperative factors were extracted from electronic medical records and reviewed by cardiac surgeons. To identify potential predictors of POD, we used univariate and multivariate logistic regression along with machine learning (ML) with ten-fold cross-validation.

RESULTS

In our study cohort of 490 patients, 106 screened positive for POD (21.6%). In the multivariate analysis, we found a positive association between POD occurrence and age ( P < 0.001), duration of surgery ( P = 0.027), combined (versus isolated) surgical procedures ( P = 0.024), opening of the cardiac chambers ( P = 0.046), and ventilation time ( P < 0.001). The ML-based decision tree identified a two level-algorithm including ventilation time and aortic cross-clamping time, with an AUC of 0.7116 ( P = 0.0002) in the validation set. In the ML-based LASSO regression analysis, we identified ventilation time, administration of erythrocyte concentrates (EC), and usage of cardiopulmonary bypass (CPB) as predictors of POD, with an AUC of 0.7407 ( P < 0.0001) in the validation set.

CONCLUSION

The results of this analysis highlight the associations between ventilation time, aortic cross-clamping time, administration of EC, and usage of CPB and POD. Additionally, they suggest that the optimization of surgical protocols has the potential to reduce POD risk in individuals undergoing cardiac surgery.

Impact of Intraoperative Blood Transfusion on Cerebral Injury in Pediatric Patients Undergoing Congenital Septal Heart Defect Surgery

Background: The components of donor blood themselves have the potential to initiate a systemic inflammatory response and exacerbate neuroinflammation, resulting in subsequent cerebral injury. The aim of this study was to establish the role of transfusion in the development of cerebral injury during the correction of congenital heart defects in children. Material and Methods: A total of 78 patients aged from 1 to 78 months, with body weights ranging from 3.3 to 21.5 kg, were investigated. Biomarkers of cerebral injury and systemic inflammatory response were studied at three time points. First: prior to the surgical intervention. Second: after the completion of cardiopulmonary bypass. Third: 16 h after the conclusion of the surgery. Results: The strongest correlation was found for S-100-β protein with the volume of transfusion at the second (Rho = 0.48, p = 0.00065) and third time points (Rho = 0.36, p = 0.01330). Neuron-specific enolase demonstrated a similar trend: Rho = 0.41 and p = 0.00421 after the completion of cardiopulmonary bypass. Conclusions: The use of red blood cell suspension and its dosage per kilogram of body weight correlated with the biomarkers of cerebral injury and systemic inflammatory response with moderate to significant strength.

Post-operative delirium in different age groups and subtypes: a systematic review of case reports

Aims

To explore the clinical presentations and outcomes among different ages and subtypes of post-operative delirium patients.

Design

Systematic review of Published Cases.

Methods and data sources

We comprehensively searched PubMed, EMBASE, and MEDLINE for published case reports of post-operative delirium up to April 2023. The systematic review has been registered with PROSPERO. Two researchers independently conducted unblinded reviews of the full-text articles.

Results

This study included 116 patients with post-operative delirium. Compared to post-operative delirium patients aged 65 and above, those between 18 and 65 years old have lower rates of a history of hypertension, cardiovascular disease and urinary system disorder comorbidities, as well as higher usage rates of fentanyl analogs and lorazepam. Additionally, these patients exhibit lower incidences of anemia and renal failure, along with a lower mortality rate. Compared to post-operative delirium patients aged 65 and above, those under 18 years old have a higher rate of fentanyl analog usage and a higher incidence of post-operative delirium following neurological surgeries. Among the hypoactive, hyperactive, and mixed subtypes, the reasons for surgery, such as cardiovascular diseases, reproductive system diseases, and neurological disorders, significantly varied among these three subtypes. Furthermore, substance abuse history and medication usage patterns also significantly varied among these three subtypes.

Conclusions

Our investigation has revealed noteworthy insights into post-operative delirium in different patient populations. Notably, age emerged as a pivotal factor. Compared to elderly patients (≥65 years), those aged 18 to 65 demonstrate better prognosis. Additionally, patients younger than 18 years with post-operative delirium have a higher incidence of delirium following neurosurgical procedures compared to those elderly patients. Additionally, a strong association was found between a history of substance abuse and hyperactive delirium. Variations in drug use patterns were observed across different subtypes. Importantly, post-operative delirium patients younger than 18 years, as well as those aged 18 to 65 with mixed-subtype delirium, exhibited similar high mortality rates as elderly patients. This underscores the need for increased attention to post-operative delirium patients under 65 and highlights the necessity of rapid identification and early intervention for these populations at risk of poor outcomes.

Systematic review registration

https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42023473383, Identifier [Registration ID: CRD 42023473383].

A Retrospective Study Establishing a Nomogram Predictive Model for Postoperative High-Activity Delirium After Non-Cardiac Surgery

Background

Postoperative high-activity delirium (PDHA) manifests as a high alertness, restlessness, hallucinations, and delusions. Occurrence of PDHA represents an increased risk of poor prognosis for patients.

Objective

To establish and validate a nomogram prediction model for high-activity delirium after non-cardiac surgery in a post-anesthesia care unit (PACU).

Methods

This study retrospectively enrolled adult patients who underwent non-cardiac surgery and were observed in the PACU as training data. Patients were divided into PDHA (199 patients) and non-PDHA (396 patients) groups. Patients' general data, preoperative indicators, intraoperative conditions, and postoperative PACU conditions were collected. The risk factors for PDHA were identified using univariate and multivariate logistic regression analyses. A predictive column chart was created using R language. Adult patients who underwent non-cardiac surgery and entered the PACU for observation were randomly selected as the validation set data (198 cases) for model performance validation.

Results

The incidence rate of adult PDHA in the PACU was 0.275%. Sex, age, smoking history, low preoperative albumin level, Society of Anesthesiologists (ASA) classification, anesthesia duration, and postoperative PACU pain score were independent risk factors for hyperactive delirium in PACU adults. In this study, an adult PACU PDHA nomogram prediction model was developed. The training dataset verified that the ROC curve (area under the curve) and 95% confidence interval (95% CI) were 0.936 (0.917-0.955). The ROC curve of the validation data row showed that the area under the curve and 95% CI were 0.926 (0.885-0.967).

Conclusion

The nomogram predictive model for PACU adult high-activity delirium constructed in this study showed good predictive performance. This model could enable the visualization and graphical prediction of adult high-activity delirium occurrence after PACU, which has clinical value.

A nomogram for predicting postoperative delirium in pediatric patients following cardiopulmonary bypass: A prospective observational study

OBJECTIVES

To create a nomogram for early delirium detection in pediatric patients following cardiopulmonary bypass.

RESEARCH METHODOLOGY/DESIGN

This prospective, observational study was conducted in the Cardiac Intensive Care Unit at a Children's Hospital, enrolling 501 pediatric patients from February 2022 to January 2023. Perioperative data were systematically collected through the hospital information system. Postoperative delirium was assessed using the Cornell Assessment of Pediatric Delirium (CAPD). For model development, Least Absolute Shrinkage and Selection Operator (LASSO) regression was employed to identify the most relevant predictors. These selected predictors were then incorporated into a multivariable logistic regression model to construct the predictive nomogram. The performance of the model was evaluated by Harrell's concordance index, receiver operating characteristic (ROC) curve, calibration curve, and decision curve analysis. External validity of the model was confirmed through the C-index and calibration plots.

RESULTS

Five independent predictors were identified: age, SpO2 levels, lymphocyte count, diuretic use, and midazolam administration, integrated into a predictive nomogram. This nomogram demonstrated strong predictive capacity (AUC 0.816, concordance index 0.815) with good model fit (Hosmer-Lemeshow test p = 0.826) and high accuracy. Decision curve analysis showed a significant net benefit, and external validation confirmed the nomogram's reliability.

CONCLUSIONS

The study successfully developed a precise and effective nomogram for identifying pediatric patients at high risk of post-cardiopulmonary bypass delirium, incorporating age, SpO2 levels, lymphocyte counts, diuretic use, and midazolam medication.

IMPLICATIONS FOR CLINICAL PRACTICE

This nomogram aids early delirium detection and prevention in critically ill children, improving clinical decisions and treatment optimization. It enables precise monitoring and tailored medication strategies, significantly contributes to reducing the incidence of delirium, thereby enhancing the overall quality of patient care.

Association of Hyperoxia During Cardiopulmonary Bypass and Postoperative Delirium in the Pediatric Cardiac ICU

OBJECTIVE

ICU delirium commonly complicates critical illness associated with factors such as cardiopulmonary bypass (CPB) time and the requirement of mechanical ventilation (MV). Recent reports associate hyperoxia with poorer outcomes in critically ill children. This study sought to determine whether hyperoxia on CPB in pediatric patients was associated with a higher prevalence of postoperative delirium.

DESIGN

Secondary analysis of data obtained from a prospective cohort study.

SETTING

Twenty-two-bed pediatric cardiac ICU in a tertiary children's hospital.

PATIENTS

All patients (18 yr old or older) admitted post-CPB, with documented delirium assessment scores using the Preschool/Pediatric Confusion Assessment Method for the ICU and who were enrolled in the Precision Medicine in Pediatric Cardiology Cohort from February 2021 to November 2021.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Of 148 patients, who underwent cardiac surgery, 35 had delirium within the first 72 hours (24%). There was no association between hyperoxia on CPB and postoperative delirium for all definitions of hyperoxia, including hyperoxic area under the curve above 5 predetermined Pao2 levels: 150 mm Hg (odds ratio [95% CI]: 1.176 [0.605-2.286], p = 0.633); 175 mm Hg (OR 1.177 [95% CI, 0.668-2.075], p = 0.572); 200 mm Hg (OR 1.235 [95% CI, 0.752-2.026], p = 0.405); 250 mm Hg (OR 1.204 [95% CI, 0.859-1.688], p = 0.281), 300 mm Hg (OR 1.178 [95% CI, 0.918-1.511], p = 0.199). In an additional exploratory analysis, comparing patients with delirium within 72 hours versus those without, only the z score for weight differed (mean [sd]: 0.09 [1.41] vs. -0.48 [1.82], p < 0.05). When comparing patients who developed delirium at any point during their ICU stay (n = 45, 30%), MV days, severity of illness (Pediatric Index of Mortality 3 Score) score, CPB time, and z score for weight were associated with delirium (p < 0.05).

CONCLUSIONS

Postoperative delirium (72 hr from CPB) occurred in 24% of pediatric patients. Hyperoxia, defined in multiple ways, was not associated with delirium. On exploratory analysis, nutritional status (z score for weight) may be a significant factor in delirium risk. Further delineation of risk factors for postoperative delirium versus ICU delirium warrants additional study.

Association between pediatric postoperative delirium and regional cerebral oxygen saturation: a prospective observational study

BACKGROUND

Postoperative delirium (POD) represents a prevalent and noteworthy complication in the context of pediatric surgical interventions. In recent times, a hypothesis has emerged positing that cerebral ischemia and regional cerebral oxygen desaturation might serve as potential catalysts in the pathogenesis of POD. The primary aim of this study was to methodically examine the potential relationship between POD and regional cerebral oxygen saturation (rSO2) and to assess the predictive and evaluative utility of rSO2 in the context of POD.

METHODS

This prospective observational study was conducted at the Children's Hospital, Zhejiang University School of Medicine, Zhejiang, China, spanning the period from November 2020 to March 2021. The research cohort comprised children undergoing surgical procedures within this clinical setting. To measure rSO2 dynamics, cerebral near-infrared spectroscopy (NIRS) was used to monitor rSO2 levels both before and after surgery. In addition, POD was assessed in the paediatric patients according to the Diagnostic and Statistical Manual of Mental Disorders Fifth Edition (DSM-5) criteria. The analysis of the association between the rSO2 index and the incidence of POD was carried out through the application of either the independent samples t-test or the nonparametric rank-sum test. To ascertain the threshold value of the adjusted rSO2 index for predictive and evaluative purposes regarding POD in the pediatric population, the Receiver Operating Characteristics (ROC) curve was employed.

RESULTS

A total of 211 cases were included in this study, of which 61 (28.9%) developed POD. Participants suffering delirium had lower preoperative rSO2mean, lower preoperative rSO2min, and lower postoperative rSO2min, higher ∆rSO2mean, higher amount of ∆rSO2mean, lower ∆rSO2min (P < 0.05). Preoperative rSO2mean (AUC = 0.716, 95%CI 0.642-0.790), ∆rSO2mean (AUC = 0.694, 95%CI 0.614-0.774), amount of ∆rSO2mean (AUC = 0.649, 95%CI 0.564-0.734), preoperative rSO2min (AUC = 0.702, 96%CI 0.628-0.777), postoperative rSO2min (AUC = 0.717, 95%CI 0.647-0.787), and ∆rSO2min (AUC = 0.714, 95%CI 0.638-0.790) performed well in sensitivity and specificity, and the best threshold were 62.05%, 1.27%, 2.41%, 55.68%, 57.36%, 1.29%.

CONCLUSIONS

There is a close relationship between pediatric POD and rSO2. rSO2 could be used as an effective predictor of pediatric POD. It might be helpful to measure rSO2 with NIRS for early recognizing POD and making it possible for early intervention.

Short-Term Effect of Quetiapine Used to Treat Delirium Symptoms on Opioid and Benzodiazepine Requirements in the Pediatric Cardiac Intensive Care Unit

Opioids or benzodiazepines use is known to increase the risk of delirium. The prevalence of delirium is high in pediatric cardiac intensive care units (CICUs) with associated morbidity and mortality. We investigate the short-term effects of quetiapine, an atypical antipsychotic medication, on opioid and benzodiazepine requirements, and any associated adverse events as we utilize quetiapine to treat delirium symptoms in this single-center, retrospective study. Twenty-eight patients who received quetiapine between January 2018 and June 2019 in the CICU met inclusion criteria for the analysis. The quetiapine initiation dose was 0.5 mg/kg/dose every 8 h and we allowed 48 h for quetiapine to reach a steady state. Overall opioid and benzodiazepine requirements were compared 72 h before and 72 h after the quetiapine steady state. There was a statistically significant reduction in the total daily opioid (p = 0.001) and benzodiazepine (p = 0.01) amounts following quetiapine initiation. There was also a statistically significant decrease in the total number of daily PRNs requirement for both opioids (p < 0.001) and benzodiazepines (p = 0.03). Nine out of 13 patients were completely weaned off continuous opioid drips following quetiapine initiation (p = 0.01). The presence of steady-state habituation medications, including methadone or lorazepam, did not have any statistically significant effect on weaning continuous opioid (p = 0.18) or benzodiazepine (p = 0.62) drips. There was no statistically significant effect of quetiapine on the QTc interval after quetiapine initiation (p = 0.58) with no clinically significant arrhythmias observed during the study period. Our study demonstrates a statistically significant reduction in opioid and benzodiazepine requirements following quetiapine initiation to treat delirium symptoms without significant adverse effects in patients with congenital heart disease in the short term.

Non-pharmacological interventions for delirium in the pediatric population: a systematic review with narrative synthesis

BACKGROUND

Delirium is a serious complication experienced by hospitalized children. Therefore, preventive management strategies are recommended for these patients. However, comprehensive analyses of delirium interventions in children remain insufficient. Specifically, this systematic review aimed to summarize non-pharmacological interventions for pediatric delirium, addressing the urgent need for a comprehensive understanding of effective strategies. We also explored frequently measured outcome variables to contribute evidence for future research on delirium outcomes in children.

METHODS

This systematic review searched articles from PubMed, Web of Science, Cumulative Index to Nursing and Allied Health Literature, and Excerpta Medica databases. The eligibility criteria were formed under the population, intervention, comparator, outcome, and study design framework. Studies were included if they involved (1) children aged under 18 years receiving hospital care, (2) non-pharmacological delirium interventions, (3) comparators involving no intervention or pharmacological delirium interventions, and (4) outcomes measuring the effectiveness of non-pharmacological delirium interventions. Only peer-reviewed articles published in English were included.

RESULTS

Overall, 16 studies were analyzed; of them, 9 assessed non-pharmacological interventions for emergence delirium and 7 assessed interventions for pediatric delirium. The intervention types were grouped as follows: educational (n = 5), multicomponent (n = 6), and technology-assisted (n = 5). Along with pediatric and emergence delirium, the most frequently measured outcome variables were pain, patient anxiety, parental anxiety, pediatric intensive care unit length of stay, agitation, analgesic consumption, and postoperative maladaptive behavior.

CONCLUSIONS

Non-pharmacological interventions for children are effective treatments without associated complications. However, determining the most effective non-pharmacological delirium intervention for hospitalized children based on current data remains challenging.

Risk factors and incidence of postoperative delirium after cardiac surgery in children: a systematic review and meta-analysis

Delirium, a form of acute cerebral dysfunction, is a common complication of postoperative cardiac surgery in children. It is strongly associated with adverse outcomes, including prolonged hospitalization, increased mortality, and cognitive dysfunction. This study aimed to identify risk factors and incidence of delirium after cardiac surgery in children to facilitate early identification of delirium risk and provide a reference for the implementation of effective prevention and management. A systematic literature search was conducted in PubMed, Web of Science, Embase, Cochrane Library, Scopus, CNKI, Sinomed, and Wanfang for studies published in English or Chinese from the inception of each database to November 2023. The PRISMA guidelines were followed in all phases of this systematic review. The Risk of Bias Assessment for Nonrandomized Studies tool was used to assess methodological quality. A total of twelve studies were included in the analysis, with four studies classified as overall low risk of bias, seven studies as moderate risk of bias, and one study as high risk of bias. The studies reported 39 possible predictors of delirium, categorized into four broad groups: intrinsic and parent-related factors, disease-related factors, surgery and treatment-related factors, and clinical scores and laboratory parameters. By conducting qualitative synthesis and quantitative meta-analysis, we identified two definite factors, four possible factors, and 32 unclear factors related to delirium. Definite risk factors included age and mechanical ventilation duration. Possible factors included developmental delay, cyanotic heart disease, cardiopulmonary bypass time, and pain score. With only a few high-quality studies currently available, well-designed and more extensive prospective studies are still needed to investigate the risk factors affecting delirium and explore delirium prevention strategies in high-risk children.

Risk Factors and Nomogram Model of Postoperative Delirium in Children with Congenital Heart Disease: A Single-Center Prospective Study

Delirium is a common postoperative complication in children with congenital heart disease, which affects their postoperative recovery. The purpose of this study is to explore the risk factors of delirium and construct a nomogram model to provide novel references for the prevention and management of postoperative delirium in children with congenital heart disease. 470 children after congenital heart surgery treated in the cardiac intensive care unit (CICU) of Shanghai Children's Medical Center were divided into a model and a validation cohort according to the principle of 7:3 distribution temporally. Then, the delirium-related influencing factors of 330 children in the training cohort were analyzed, and the nomogram model was established by a combination of Lasso regression and logistic regression. The data of 140 children in the validation cohort were used to verify the effectiveness of the model. Multivariable logistic regression analysis showed that age, disease severity, non-invasive ventilation after extubation, delayed chest closure, phenobarbital dosage, promethazine dosage, mannitol usage, and elevated temperature were independent risk factors for postoperative delirium. The area under the receiver operating characteristic curve (AUC) of the nomogram model was 0.864 and the Brier value was 0.121. Regarding the validation of the model's effect, our results showed that 51 cases were predicted by the model and 34 cases actually occurred, including 4 cases of false negative and 21 cases of false positive. The positive predictive value of the model was 58.8%, and its negative predictive value was 95.5%. The nomogram model established in this study showed acceptable performance in predicting postoperative delirium in children with congenital heart disease.

Family Presence at the PICU Bedside: A Single-Center Retrospective Cohort Study

OBJECTIVES

To determine factors associated with bedside family presence in the PICU and to understand how individual factors interact as barriers to family presence.

DESIGN

Mixed methods study.

SETTING

Tertiary children's hospital PICU.

SUBJECTS

Five hundred twenty-three children of less than 18 years enrolled in the Seattle Children's Hospital Outcomes Assessment Program from 2011 to 2017.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Quantitative: Family was documented every 2 hours. Exposures included patient and illness characteristics and family demographic and socioeconomic characteristics. We used multivariable logistic regression to identify factors associated with presence of less than 80% and stratified results by self-reported race. Longer PICU length of stay (LOS), public insurance, and complex chronic conditions (C-CD) were associated with family presence of less than 80%. Self-reported race modified these associations; no factors were associated with lower bedside presence for White families, in contrast with multiple associations for non-White families including public insurance, C-CD, and longer LOS. Qualitative: Thematic analysis of social work notes for the 48 patients with family presence of less than 80% matched on age, LOS, and diagnosis to 48 patients with greater than or equal to 95% family presence. Three themes emerged: the primary caregiver's prior experiences with the hospital, relationships outside of the hospital, and additional stressors during the hospitalization affected bedside presence.

CONCLUSIONS

We identified sociodemographic and illness factors associated with family bedside presence in the PICU. Self-reported race modified these associations, representing racism within healthcare. Family presence at the bedside may help identify families facing greater disparities in healthcare access.

Influence of Regional Nerve Block in Addition to General Anesthesia on Postoperative Delirium, Pain, and In-hospital Stay in Patients Undergoing Cardiothoracic Surgery: A Meta-analysis

ABSTRACT

This study aims to investigate whether venous injection of sedative agent or regional nerve block in alliance with major anesthesia could decrease the risk of postoperative delirium occurrence in patients receiving cardiothoracic surgery. Electronic academic databases were retrieved for related publications, and statistical software was used for data pooling and analysis. Forest plot was used to show the pooled sensitivity, specificity, and diagnostic odds ratio. Combined receiver operating characteristic curve was used to show the area under the curve of complex data. Seven studies were included for analysis. The risk of occurrence of delirium still showed no difference (risk rate = 0.93, 95% CI, 0.85-1.03) between the intervention group and placebo group. Postoperative pain feeling was more alleviated in patients with prophylactic application of regional nerve block. In addition, prophylactic application of regional nerve block could decrease the risk of postoperative in-hospital stay (risk rate = 0.28, 95% CI, 0.02-0.54). Our study demonstrated that, in elderly patients or pediatric patients undergoing cardiac surgery, prophylactic application of regional nerve block failed to decrease the incidence of postoperative delirium. However, the option of regional nerve block could decrease the duration of in-hospitalization stay and alleviate the acute pain during the postoperative period after open-heart surgery.

Developmental care pathway for hospitalised infants with CHD: on behalf of the Cardiac Newborn Neuroprotective Network, a Special Interest Group of the Cardiac Neurodevelopmental Outcome Collaborative

Infants and children born with CHD are at significant risk for neurodevelopmental delays and abnormalities. Individualised developmental care is widely recognised as best practice to support early neurodevelopment for medically fragile infants born premature or requiring surgical intervention after birth. However, wide variability in clinical practice is consistently demonstrated in units caring for infants with CHD. The Cardiac Newborn Neuroprotective Network, a Special Interest Group of the Cardiac Neurodevelopmental Outcome Collaborative, formed a working group of experts to create an evidence-based developmental care pathway to guide clinical practice in hospital settings caring for infants with CHD. The clinical pathway, "Developmental Care Pathway for Hospitalized Infants with Congenital Heart Disease," includes recommendations for standardised developmental assessment, parent mental health screening, and the implementation of a daily developmental care bundle, which incorporates individualised assessments and interventions tailored to meet the needs of this unique infant population and their families. Hospitals caring for infants with CHD are encouraged to adopt this developmental care pathway and track metrics and outcomes using a quality improvement framework.

A survey of current practices in sedation, analgesia, withdrawal, and delirium management in paediatric cardiac ICUs

OBJECTIVE

To characterise the current approach to sedation, analgesia, iatrogenic withdrawal syndrome and delirium in paediatric cardiac ICUs.

DESIGN

A convenience sample survey of practitioners at institutions participating in the Pediatric Cardiac Critical Care Consortium conducted from September to December 2020.

SETTING

Paediatric cardiac ICUs.

MEASUREMENTS AND MAIN RESULTS

Survey responses were received from 33 of 42 institutions contacted. Screening for pain and agitation occurs commonly and frequently. A minority of responding centres (39%) have a written analgesia management protocol/guideline. A minority (42%) of centres have a written protocol for sedation. Screening for withdrawal occurs commonly, although triggers for withdrawal screening vary. Only 42% of respondents have written protocols for withdrawal management. Screening for delirium occurs "always" in 46% of responding centres, "sometimes" in 36% of centres and "never" 18%. Nine participating centres (27%) have written protocols for delirium management.

CONCLUSIONS

Our survey identified that most responding paediatric cardiac ICUs lack a standardised approach to the management of analgesia, sedation, iatrogenic withdrawal, and delirium. Screening for pain and agitation occurs regularly, while screening for withdrawal occurs fairly frequently, and screening for delirium is notably less consistent. Only a minority of centres use written protocols or guidelines for the management of these problems. We believe that this represents an opportunity to significantly improve patient care within the paediatric cardiac ICU.

Updates and Clinical Implications of Pediatric Delirium

Delirium is a fluctuating level of awareness based on a physiologic disease process. Within pediatrics, delirium affects approximately 30% of patients admitted to critical care units and is associated with increased mortality, morbidity, length of stay, and care costs. Multiple pediatric critical care societies recommend the implementation of screening practices using validated delirium tools. Delirium remains underrecognized because of suboptimal screening and protocol implementation in pediatric critical care units nationally and internationally. The mainstay of delirium prevention and management is nonpharmacologic, focusing on normalizing a patient's environment, sleep/wake cycles, nutritional status, and activity levels.

Depth of anesthesia, temperature, and postoperative delirium in children and adolescents undergoing cardiac surgery

BACKGROUND

After pediatric cardiosurgical interventions, postoperative delirium can occur, which can be associated with undesirable consequences during and after the hospital stay. It is therefore important to avoid any factors causing delirium as far as possible. Electroencephalogram (EEG) monitoring can be used during anesthesia to individually adjust dosages of hypnotically acting drugs. It is necessary to gain knowledge about the relationship between intraoperative EEG and postoperative delirium in children.

METHODS

In a dataset comprising 89 children (53 male, 36 female; median age: 0.99 (interquartile range: 0.51, 4.89) years) undergoing cardiac surgery involving use of a heart-lung machine, relationships between depth of anesthesia as measured by EEG (EEG index: Narcotrend Index (NI)), sevoflurane dosage, and body temperature were analyzed. A Cornell Assessment of Pediatric Delirium (CAP-D) score ≥ 9 indicated delirium.

RESULTS

The EEG could be used in patients of all age groups for patient monitoring during anesthesia. In the context of induced hypothermia, EEG monitoring supported individually adjusted sevoflurane dosing. The NI was significantly correlated with the body temperature; decreasing temperature was accompanied by a decreasing NI. A CAP-D score ≥ 9 was documented in 61 patients (68.5%); 28 patients (31.5%) had a CAP-D < 9. Delirious patients with an intubation time ≤ 24 h showed a moderate negative correlation between minimum NI (NImin) and CAP-D (rho = -0.41, 95% CI: -0.70 - -0.01, p = 0.046), i.e., CAP-D decreased with increasing NImin. In the analysis of all patients' data, NImin and CAP-D showed a weak negative correlation (rho = -0.21, 95% CI: -0.40 - 0.01, p = 0.064). On average, the youngest patients had the highest CAP-D scores (p = 0.002). Patients with burst suppression / suppression EEG had a longer median intubation time in the intensive care unit than patients without such EEG (p = 0.023). There was no relationship between minimum temperature and CAP-D score.

CONCLUSIONS

The EEG can be used to individually adjust sevoflurane dosing during hypothermia. Of the patients extubated within 24 h and classified as delirious, patients with deeper levels of anesthesia had more severe delirium symptoms than patients with lighter levels of anesthesia.

Factors Associated With Delirium in Children: A Systematic Review and Meta-Analysis

OBJECTIVES

Pediatric delirium (PD) is a neuropsychiatric syndrome caused by a complex interplay between predisposing factors (e.g., age, cognitive impairment), acute illness, and environmental triggers. PD is associated with substantial morbidity and mortality. The objective of this study is to systematically review and evaluate factors associated with PD in hospitalized pediatric patients.

DATA SOURCES

A systematic search of PubMed, Embase, Ovid Medline, Web- of-Science, Cochrane, CIHNAL, and Google Scholar databases was conducted for relevant studies (1990-2022).

STUDY SELECTION

We included studies that compared pediatric patients with and without delirium. Reviews, editorials, congress abstracts, or studies that did not report factors for PD were excluded. No restrictions were imposed on language.

DATA EXTRACTION

Title and abstract were independently screened by two reviewers. Individual characteristics, study design, and outcomes were independently extracted.

DATA SYNTHESIS

Categorical dichotomous data were summarized across groups using Mantel-Haenszel odds ratios (ORs) with 95% 95% CIs. Either fixed-effect or random effects models were used as indicated by the results of a heterogeneity test. Of 1,846 abstracts, 24 studies were included. We identified 54 factors studied in univariate analyses, and 27 of these were associated with PD in multivariable analyses. In pooled analyses, greater odds of PD were associated with developmental delay (OR 3.98; 95% CI 1.54-10.26), need for mechanical ventilation (OR 6.02; 95% CI 4.43-8.19), use of physical restraints (OR 4.67; 95% CI 1.82-11.96), and receipt of either benzodiazepines (OR 4.10; 95% CI 2.48-6.80), opiates (OR 2.88; 95% CI 1.89-4.37), steroids (OR 2.02; 95% CI 1.47-2.77), or vasoactive medication (OR 3.68; 95% CI 1.17-11.60).

CONCLUSIONS

In this meta-analysis, we identified seven factors associated with greater odds of developing delirium during pediatric critical illness.

Clinical application of 'Sophia Observation withdrawal Symptoms-Paediatric Delirium' screening tool in Danish version: A feasibility study

AIMS AND OBJECTIVES

The aims of the present study were investigating the feasibility of: (1) using the Danish version of Sophia Observation withdrawal Symptoms-Paediatric Delirium (SOS-PD) screening tool in clinical practice and (2) comparing SOS-PD performance to a child psychiatrist's assessment using the diagnostic criteria as a reference standard.

BACKGROUND

Critically ill children risk developing delirium potentially causing discomfort and suffering. Intensive care delirium has a fluctuating course complicating detection. Systematic screening during and after intensive care is central to manage paediatric delirium.

DESIGN AND METHODS

We used a descriptive and comparative design. First aim: Bedside nurses were asked to evaluate their experience of using the SOS-PD. Second aim: We compared the SOS-PD performance with the child psychiatrist assessment in 50 children aged 4 weeks to 18 years.

RESULTS

Nurses found the Danish version of the SOS-PD applicable and easy to use. Of the 50 children included, 13 were diagnosed with delirium by the child psychiatrist. Consistency was found between the SOS-PD score and the child psychiatrist's assessment (88%). We found three false-negative and three false-positive SOS-PD cases. The false-negative cases could be explained by the differences in time periods for the assessments. SOS-PD assessments covered the past 4 h, whereas the psychiatric assessments covered the past 24 h. We assume the false-positive cases represent an acceptable inconsistency between the two assessment methods.

CONCLUSIONS

The Danish version of the SOS-PD appeared suitable for identifying paediatric delirium. Our results emphasised the importance of assessment at least once during each nursing shift to ensure delirium detection around the clock due to the fluctuating course of delirium.

RELEVANCE TO CLINICAL PRACTICE

Implementing the Danish SOS-PD may increase awareness of this critical disorder by improving systematic identification of paediatric delirium in clinical practice paving the way for improved delirium prevention and management.

17β-estradiol ameliorates delirium-like phenotypes in a murine model of urinary tract infection

Urinary tract infections (UTIs) are common and frequently precipitate delirium-like states. Advanced age coincident with the postmenopausal period is a risk factor for delirium following UTIs. We previously demonstrated a pathological role for interleukin-6 (IL-6) in mediating delirium-like phenotypes in a murine model of UTI. Estrogen has been implicated in reducing peripheral IL-6 expression, but it is unknown whether the increased susceptibility of postmenopausal females to developing delirium concomitant with UTIs reflects diminished effects of circulating estrogen. Here, we tested this hypothesis in a mouse model of UTI. Female C57BL/6J mice were oophorectomized, UTIs induced by transurethral inoculation of E. coli, and treated with 17β-estradiol. Delirium-like behaviors were evaluated prior to and following UTI and 17β-estradiol treatment. Compared to controls, mice treated with 17β-estradiol had less neuronal injury, improved delirium-like behaviors, and less plasma and frontal cortex IL-6. In vitro studies further showed that 17β-estradiol may also directly mediate neuronal protection, suggesting pleiotropic mechanisms of 17β-estradiol-mediated neuroprotection. In summary, we demonstrate a beneficial role for 17β-estradiol in ameliorating acute UTI-induced structural and functional delirium-like phenotypes. These findings provide pre-clinical justification for 17β-estradiol as a therapeutic target to ameliorate delirium following UTI.

Sleep disruption and delirium in critically ill children: Study protocol feasibility

Delirium is a serious complication of pediatric critical illness. Sleep disruption is frequently observed in children with delirium, and circadian rhythm dysregulation is one proposed cause of delirium. Children admitted to the pediatric intensive care unit (PICU) experience multiple environmental exposures with the potential to disrupt sleep. Although researchers have measured PICU light and sound exposure, sleep, and delirium, these variables have not yet been fully explored in a single study. Furthermore, caregiving patterns have not often been included as a component of the PICU environment. Measuring the light and sound exposure, caregiving patterns, and sleep of critically ill children requires continuous PICU bedside data collection. This presents multiple methodological challenges. In this paper, we describe the protocol for an observational pilot study of the PICU environment, sleep, and delirium experienced by a sample of 10 critically ill children 1-4 years of age. We also evaluate and discuss the feasibility (i.e., acceptability, implementation, practicality) of the study protocol. Light and sound exposure were measured with bedside sensors. Caregiving was quantified through video recording. Sleep was measured via actigraphy and confirmed by video recording. Delirium screening with the Cornell Assessment of Pediatric Delirium was conducted twice daily, either in person or via video review. This study provides a refined measurement framework to inform future, large-scale studies and the development of nurse-driven sleep promotion interventions.

[Effect of sequential sedation and analgesia in preventing delirium and withdrawal symptoms in children after ventilator weaning]

OBJECTIVES

To investigate the effect of sequential sedative and analgesic drugs in preventing delirium and withdrawal symptoms in children after ventilator weaning.

METHODS

A retrospective analysis was performed on 61 children who were admitted and received mechanical ventilation support for ≥5 days in the Pediatric Intensive Care Unit of Dongguan Children's Hospital Affiliated to Guangdong Medical University from December 2019 to September 2021. The children were divided into a control group (30 children with no maintenance of analgesic and sedative drugs after ventilator weaning) and an observation group (31 children with sequential sedative and analgesic drugs maintained for 48 hours after ventilator weaning). The two groups were compared in terms of the Sophia Observation Withdrawal Symptoms Scale (SOS) score, the Pediatric Delirium Scale (PD) score, the Richmond Agitation-Sedation Scale (RASS) score, and the incidence rates of delirium or withdrawal symptoms at 24 and 72 hours after ventilator weaning.

RESULTS

There was no significant difference in the incidence rate of delirium at 24 hours and 72 hours after ventilator weaning between the two groups (P>0.05). Compared with the control group, the observation group had significantly lower incidence rate of withdrawal symptoms and scores of SOS, PD, and RASS scales at 24 hours and 72 hours after ventilator weaning (P<0.01).

CONCLUSIONS

Sequential sedation and analgesia after ventilator weaning can reduce the incidence of withdrawal symptoms within 72 hours after ventilator weaning, but it cannot reduce the incidence rate of delirium.

Delirium in elderly patients with COPD combined with respiratory failure undergoing mechanical ventilation: a prospective cohort study

Background

COPD combined with respiratory failure is very common in intensive care unit (ICU). We aimed to evaluate the current status and influencing factors of delirium in elderly COPD patients with undergoing mechanical ventilation.

Methods

Patients with COPD combined with respiratory failure and mechanically ventilated who were admitted to the ICU of our hospital were selected. The characteristics of included patients were assessed. Pearson correlation analysis was performed to evaluate the characteristics of patients and delirium. Logistic regression analysis was conducted to identify the risk factors of delirium in elderly patients with COPD combined with respiratory failure undergoing mechanical ventilation.

Results

A total of 237 COPD combined with respiratory failure patients were included, the incidence of delirium was 21.94%. Pearson correlation analysis indicated that age (r = 0.784), BMI (r = 0.709), hypertension (r = 0.696), APACHE II score (r = 0.801), CPOT (r = 0.513), sedation(r = 0.626) and PaO₂ (r = 0.611) were all correlated with the occurrence of delirium (all p < 0.05). Logistic regression analysis indicated that age ≥ 75y (OR 3.112, 95% CI 2.144–4.602), BMI ≤ 19 kg/m² (OR 2.742, 95% CI 1.801–3.355), hypertension(OR 1.909, 95% CI 1.415–2.421), APACHE II score ≥ 15 (OR 2.087, 95% CI 1.724–2.615), CPOT ≥ 5 (OR 1.778, 95% CI 1.206–2.641), sedation(OR 3.147, 95% CI 2.714–3.758), PaO₂ ≤ 75 mmHg(OR 2.196, 95%CI 1.875–3.088) were the risk factors of delirium in elderly patients with COPD combined with respiratory failure undergoing mechanical ventilation (all p < 0.05).

Conclusions

Delirium is common in patients with COPD and respiratory failure undergoing mechanical ventilation, and there are many related influencing factors. Medical staff should pay more attention to patients with risk factors and take intervention measures as soon as possible to reduce the incidence of delirium.

Risk factors of delirium in paediatric intensive care units: A meta-analysis

Background

Delirium is a brain dysfunction syndrome, which children have a higher incidence. At present, there have been more and more studies and reports on delirium in paediatric intensive care unit, but there are some differences in the risk factor results among different studies. To better manage delirium, this study was performed.

Objective

To integrate and clarify the risk factors for delirium in paediatric intensive care unit.

Methods

CNKI, CBMdisc, Wanfang Data Knowledge Service Platform, VIP, PubMed, Embase, Cochrane Library, JBI and PsycInfo were searched for relevant literature. The study subjects were patients in PICU and literature was included according to the PICOS principle. Literature screening and risk of bias assessment were mainly completed by two researchers, and RevMan 5.3 software and Stata software were used for data analysis. The GRADE systerm was used to assess the quality of evidence.

Results

A total of 10 studies were included, all in English, involving 4343 children. Within the GRADE system, 4 indicators were scored A, 1 indicators were scored B, and 3 indicators were scored C regarding evidence levels. Three studies analysed the influence of developmental delay on the occurrence of delirium in PICU, total sample size of which was 1823, and the results showed that the combined effect was statistically significant [OR = 3.34, 95%CI(2.46–4.53), Z = 7.75, P<0.001]; Five studies analysed the effects of mechanical ventilation on the occurrence of delirium in PICU, sample size of which was 1562, and the results showed that the combined effect was statistically significant [OR = 4.11, 95%CI(3.13–5.40), Z = 10.16, P<0.001]; Two studies analysed the effects of benzodiazepines on children developing delirium, sample size of which was 1635, and the results showed that the combined effect was statistically significant [OR = 5.05, 95%CI(3.65–6.97), Z = 9.83, P<0.001]; Two studies analysed the effects of anticholinergic drug use on children developing delirium in PICU, sample size of which was 1703, and the results suggested the combined effect was statistically significant [OR = 5.04, 95%CI (3.62–7.00), Z = 9.63, P<0.001]; Two studies compared the same age period, sample size of which was 1724 and the results showed that children 2–5 years old has a 48% incidence rate of delirium relative to children younger than 2 years old, and the combined effect was statistically significant [OR = 0.48, 95%CI(0.25–0.92), Z = 2.22, P = 0.030], children 5–13 years old has a 39% incidence rate of delirium relative to children younger than 2 years old, and the combined effect was statistically significant [OR = 0.39, 95%CI(0.26–0.59), Z = 4.43, P<0.001]. Two studies analysed the effects of PICU LOS on children developing delirium and the combined effect of PICU LOS on the occurrence of delirium in children in PICU was statistically significant [OR = 1.10, 95%CI(1.05–1.15), Z = 4.07, P<0.001].

Conclusion

Developmental delay, mechanical ventilation, benzodiazepine use, anticholinergic use, age and PICU length of stay are independent risk factors for delirium in children in PICU. However, only a few articles were included in this study, which may lead to a certain bias and affect the analysing results. More large-sample, multicentre studies should be conducted to further explore and clarify the independent influencing factors of delirium in children in PICU and to provide guidance for clinical practice.

Development of a non-pharmacologic delirium management bundle in paediatric intensive care units

BACKGROUND

Non-pharmacologic interventions might be effective to reduce the incidence of delirium in pediatric intensive care units (PICU).

AIM

To explore expert opinions and generate informed consensus decisions regarding the content of a non-pharmacologic delirium bundle to manage delirium in PICU patients.

STUDY DESIGN

A two-round online Delphi study was conducted from February to April 2021. PICU experts (nurses, physicians, researchers, physical therapists, play specialists, and occupational therapists) located in Europe, North America, South America, Asia, and Australia participated.

RESULTS

We developed a questionnaire based on the outcomes of a comprehensive literature search in the domains: 1) cognition support; 2) sleep support; and 3) physical activity support. Under these domains, we listed 11 strategies to promote support with 61 interventions. Participants rated the feasibility of each intervention on a 9-point Likert scale (ranging from 1 strongly disagree to 9 strongly agree). A disagreement index and panel median were calculated to determine the level of agreement among experts. In the second round, participants reassessed the revised statements and ranked the interventions in each domain in order of importance for age groups: 0-2, 3-5, and 6-18 years of age. During the first Delphi round, 53 of 74 (72%) questionnaires were completed, and in the second round 45 of 74 (61%) were completed. Five of the highest ranked interventions across the age groups were: 1) developing a daily routine, 2) adjusting light exposure according to the time of day, 3) scheduling time for sleep, 4) providing eyeglasses and hearing aids if appropriate, 5) encouraging parental presence.

CONCLUSIONS

Based on expert consensus, we developed an age-specific non-pharmacologic delirium bundle of interventions to manage delirium in PICU patients.

RELEVANCE TO CLINICAL PRACTICE

An age-specific Non-Pharmacological Delirium bundle is now ready to be tested in the PICU and will hopefully reduce pediatric delirium.

Analgesia, Sedation, Paralytics, Delirium, and Iatrogenic Withdrawal

The care of the critically ill child often includes medications used for the relief of pain and anxiety. Children have key differences in pharmacokinetics and pharmacodynamics compared with adults that should always be considered to achieve safe medication use in this population. Pain must be addressed, and sedative use should be minimized when possible. Our understanding of sedation safety is evolving, and studies have shown that minimizing exposure to multiple medications can reduce the burden of delirium and iatrogenic withdrawal.

Construction and validation of an early prediction model of delirium in children after congenital heart surgery

BACKGROUND

Delirium often occurs in children with congenital heart disease in the early postoperative period, which is not conducive to the rehabilitation and prognosis. There is little evidence to prove the effectiveness and safety of drug treatment of delirium in children, and the prevention has become an important topic. The purpose of this study is to analyze the early risk factors of delirium in children after congenital heart surgery, establish a nomogram prediction model, and explore the application efficiency of the model, so as to provide reference for early prevention of delirium.

METHODS

A total of 362 children treated in the cardiac intensive care unit (CICU) of Shanghai Children's Medical Center after congenital heart surgery from February 15 to April 15, 2021 were enrolled for the construction of the model. Bedside nurses who received unified training used the Cornell Assessment of Pediatric Delirium (CAPD) to evaluate delirium and recorded sixteen preoperative- and intraoperative-related influencing factors. A nomogram prediction model was created using multivariate logistic regression. The prediction effect of the model was evaluated by C-index and Brier value, and 96 children from April 16 to May 15, 2021 were included for effect verification. The model's effectiveness was validated by comparing the occurrence of delirium in children predicted by the model with the actual occurrence.

RESULTS

Multivariate logistic regression analysis showed that male gender [odds ratio (OR) =1.786, 95% confidence interval (CI): 1.018-3.134, P=0.043], age <6.5 months (OR =0.224, 95% CI: 0.126-0.399, P=0.000), disease severity ≥4 points (OR =6.955, 95% CI: 3.564-13.576, P=0.003), and operation time ≥148 min (OR =2.401, 95%CI: 1.336-4.315, P=0.000) were independent risk factors for delirium in children after cardiac surgery. The C-index of the nomogram prediction model was 0.808, sensitivity was 76.1%, specificity was 70%, and the Brier value was 0.142. The validation of the model showed that the model predicted 20 cases and the actual occurrence was 20 cases, of which 8 cases were false negative and 8 cases were false positive, and the sensitivity, specificity, and accuracy of the model were 60%, 89.5%, and 83.3%, respectively.

CONCLUSIONS

The prediction model constructed in this study could provide early prediction of the occurrence of delirium in children after congenital heart surgery to a certain extent.

The Year in Review: Anesthesia for Congenital Heart Disease 2021

This review focuses on the literature published during the calendar year 2021 that is of interest to anesthesiologists taking care of children and adults with congenital heart disease. Four major themes are discussed, including cardiovascular disease in children with COVID-19, aortic valve repair and replacement, bleeding and coagulation, and enhanced recovery after surgery (ERAS).

Implementation of a Delirium Bundle for Pediatric Intensive Care Patients

BACKGROUND AND OBJECTIVE

Delirium represents the most common form of acute cerebral dysfunction in critical illness. The prevention, recognition, and treatment of delirium must become the focus of modern pediatric intensive care, as delirium can lead to increased morbidity and mortality. The aim of this study is to evaluate the impact of a delirium bundle consisting of mainly non-pharmacological measures.

MATERIAL AND METHODS

This is a pre-/post-implementation study in an interdisciplinary pediatric intensive care unit of a tertiary care university hospital. In the pre-implementation period, pediatric intensive care delirium was monitored using the Sophia Observation withdrawal Symptoms and Pediatric Delirium scale. After introduction of a delirium bundle consisting of non-pharmacological prevention and treatment measures a period of 4 months was interposed to train the PICU staff and ensure that the delirium bundle was implemented consistently before evaluating the effects in the post-implementation period. Data collection included prevalence of delirium and withdrawal, length of PICU stay, duration of mechanical ventilation, and cumulative dose of sedatives and analgesics.

RESULTS

A total of 792 critically ill children aged 0-18 years were included in this study. An overall delirium prevalence of 30% was recorded in the pre-implementation group and 26% in the post-implementation group (p = 0.13). A significant reduction in the prevalence of pediatric delirium from was achieved in the subgroup of patients under 5 years of age (27.9 vs. 35.8%, p = 0.04) and in patients after surgery for congenital heart disease (28.2 vs. 39.5%, p = 0.04). Young age, length of PICU stay, and iatrogenic withdrawal syndrome were found to be risk factors for developing delirium.

CONCLUSIONS

Based on a validated delirium monitoring, our study gives new information regarding the prevalence of pediatric delirium and the characteristics of intensive care patients at risk for this significant complication. Especially young patients and patients after surgery for congenital heart disease seem to benefit from the implementation of non-pharmacological delirium bundles. Based on our findings, it is important to promote change in pediatric intensive care-toward a comprehensive approach to prevent delirium in critically ill children as best as possible.

Delirium in a Tertiary Pediatric Cardiac Intensive Care Unit: Risk Factors and Outcomes

OBJECTIVE

Delirium is an increasingly recognized hospital complication associated with poorer outcomes in critically ill children. We aimed to evaluate risk factors for screening positive for delirium in children admitted to a pediatric cardiac intensive care unit (CICU) and to examine the association between duration of positive screening and in-hospital outcomes.

STUDY DESIGN

Retrospective cohort study in a single-center quaternary pediatric hospital CICU evaluating children admitted from March 2014-October 2016 and screened for delirium using the Cornell Assessment of Pediatric Delirium. Statistical analysis used multivariable logistic and linear regression.

RESULTS

Among 942 patients with screening data (98% of all admissions), 67% of patients screened positive for delirium. On univariate analysis, screening positive was associated with younger age, single ventricle anatomy, duration of mechanical ventilation, continuous renal replacement therapy, extracorporeal life support, and surgical complexity, as well as higher average total daily doses of benzodiazepines, opioids, and dexmedetomidine. On multivariable analysis, screening positive for delirium was independently associated with age <2 years, duration of mechanical ventilation, and greater than the median daily doses of benzodiazepine and opioid. In addition to these factors, duration of screening positive was also independently associated with higher STAT category (3-5) or medical admission, organ failure, acute kidney injury (AKI), and higher dexmedetomidine exposure. Duration of positive delirium screening was associated with both increased CICU and hospital length of stay (each additional day of positive screening was associated with a 3% longer CICU stay [95% CI = 1%-6%] and 2% longer hospital stay [95% CI = 0%-4%]).

CONCLUSIONS

Screening positive for delirium is common in the pediatric CICU and is independently associated with prolonged intensive care unit (ICU) and hospital stay. Longer duration of mechanical ventilation and higher sedative doses are independent risk factors for screening positive for delirium. Efforts aimed at reducing these exposures may decrease the burden of delirium in this population.

Patterns of Delirium in a Pediatric Intensive Care Unit and Associations With Noise Pollution

OBJECTIVE

Delirium is a common problem in the Pediatric Intensive Care Unit (PICU) and is associated with increased length of stay, cost and mortality. This study evaluated the relationship between noise pollution and delirium risk. Design: This is a Quality Improvement (QI) initiative at an academic PICU. Sound levels were monitored and patients were screened for delirium using the Cornell Assessment of Pediatric Delirium (CAPD). Setting PICU Patients: All PICU patients Interventions: None Measurements and Main Results: Over the 83-week study period (2015-2017), the median [IQR] CAPD score was 8 [3 to 14]. Nursing compliance with the CAPD was 72.2%. The proportion of patients screening positive for delirium (CAPD ≥ 9) was 45.9%. A total of 329 711 hly decibel (dB) measurements were collected and reported. Occupied rooms were louder than unoccupied rooms (51.8 [51.6-51.9] dB vs. 49.8 [49.7-49.9] dB, respectively, p < 0.001). Days (10 AM to 4 PM) were louder than nights (11 PM to 5 AM) (52.8 [52.7-53.0] dB vs. 50.7 [49.9-51.5] dB, respectively p < 0.001) in occupied rooms. Winter (Nov-Feb) months were louder than summer (May-Aug) months (52.0 [51.8-52.3] dB vs. 51.5 [51.3-51.7] dB, respectively, p < 0.002) in occupied rooms. Median weekly nighttime noise levels and CAPD scores demonstrated a correlation coefficient of 0.6 (p < 0.001). Median weekly risk of mortality (ROM) and CAPD scores demonstrated a correlation coefficient of 0.15 (p < 0.01). Conclusions: Significant noise pollution exists in the PICU with a moderate correlation between nighttime noise levels and CAPD scores. This could potentially implicate noise pollution as a risk factor for the development of delirium.

Incidence and Factors Associated with Delirium in Children in a Single Pediatric Intensive Care Unit in Brazil

PURPOSE

To identify the incidence of delirium in a Pediatric Intensive Care Unit (PICU); to determine the factors associated with the occurrence of delirium and the agreement between two scales used for detection of pediatric delirium in critically ill children.

DESIGNS AND METHOD

Descriptive longitudinal study carried out in a PICU. The sample consisted of 65 critically ill children admitted to the PICU, with more than 24 h of hospitalization, excluding children with neurological or cognitive impairment, hearing and visual impairment, chronic encephalopathy and declining consent to participate in the study. Two scales were applied, the Cornell Assessment of Pediatric Delirium (CAPD) and the Sophia Observation Withdrawal Symptoms - Pediatric Delirium Scale (SOS_PD). Descriptive and inferential statistical analysis, with a 5% significance level was performed.

RESULTS

Delirium was identified in 7.7% of children, with duration of the disorder of about 2 days. A very good agreement (Kappa = 1; p-value <0.001) between the two scales was identified. CAPD presented positive predictive value of 80.0%. There was a statistical association between the occurrence of delirium and age less than 2 years (p = 0.060); female gender (p = 0.057); use of mechanical pulmonary ventilation (p = 0.034); antiemetics (p = 0.002); anticholinergics (p = 0.044), and changes in serum sodium and potassium (p = 0.053).

CONCLUSION

Demographic, clinical, and pharmacological conditions were associated with the occurrence of delirium.

PRACTICE IMPLICATIONS

Routine monitoring is the first step to any delirium prevention strategies, so delirium screening by the bedside nurse must be valued through a commitment to education and training.

Improving Pediatric Delirium Assessment Documentation and Implementation of a Nonpharmacologic Delirium Management Bundle in the Cardiovascular Intensive Care Unit

BACKGROUND

Pediatric delirium is common, associated with negative patient outcomes, and infrequently assessed in the ICU. Locally, pediatric delirium assessments in the cardiac PICU were infrequently documented resulting in an initiative to increase assessment documentation and implement a nurse-driven management protocol, the Bundle to Eliminate Delirium (BED).

METHODS

This was a nurse-driven, quality improvement project in an eleven-bed cardiac PICU at a large academic health care facility. A pre- and postimplementation survey evaluating delirium management perceptions, knowledge, and assessment barriers was emailed to 113 nurses. Nurses received education about general delirium principles and assessment followed by weekly emails that included delirium assessment documentation rates and targeted education. Subsequently, BED education was provided via email followed by BED implementation, inclusion of BED completion rates in weekly emails, and observational audits of BED implementation.

FINDINGS

1522 delirium assessment opportunities were evaluated. Assessment documentation increased by 33%. Nurses reported greater confidence in their ability to manage delirium (P < .05 for numerous aspects of delirium care) and were less likely to report 'positive delirium assessments not acted upon' as a barrier to delirium assessment. BED implementation was inconsistent.

DISCUSSION

Nursing education and feedback can increase delirium assessment rates and confidence in management but the impact of BED on these outcomes is not clear.

APPLICATION TO PRACTICE

Improvement in pediatric delirium care may be obtained through a nurse-driven quality improvement project but an interprofessional approach is needed for optimal management. More studies are needed to identify effective pediatric delirium management strategies such as the BED.

A Systematic Review and Pooled Prevalence of Delirium in Critically Ill Children

OBJECTIVES

Pediatric delirium is a neuropsychiatric disorder with disrupted cerebral functioning due to underlying disease and/or critical care treatment. Pediatric delirium can be classified as hypoactive, hyperactive, and mixed. This systematic review was conducted to estimate the pooled prevalence of pediatric delirium using validated assessment tools in children (Cornell Assessment of Pediatric Delirium, Pediatric Confusion Assessment Method for the ICU, PreSchool Confusion Assessment Method for the ICU, Pediatric Confusion Assessment Method for the ICU Severity Scale, and Sophia Observation Withdrawal Symptoms Pediatric Delirium scale), identify modifiable and nonmodifiable risk factors, and explore the association of pediatric delirium with clinical outcomes.

DATA SOURCES

A systematic search of PubMed, EMBASE, and CINAHL databases was undertaken for full articles pertaining to pediatric delirium prevalence.

STUDY SELECTION

No language or date barriers were set. Studies were included where the following eligibility criteria were met: study design aimed to estimate pediatric delirium prevalence arising from treatment in the intensive care setting, using a validated tool. Only randomized controlled trials, cross-sectional studies, or cohort studies allowing an estimate of the prevalence of pediatric delirium were included.

DATA EXTRACTION

Data were extracted by the primary researcher (D.S.) and accuracy checked by coauthors.

DATA SYNTHESIS

A narrative synthesis and pooled prevalence meta-analysis were undertaken.

CONCLUSIONS

Pediatric delirium, as determined by the Cornell Assessment of Pediatric Delirium score, is estimated to occur in 34% of critical care admissions. Eight of 11 studies reporting on subtype identified hypoactive delirium as most prevalent (46-81%) with each of the three remaining reporting either hyperactive (44%), mixed (57%), or equal percentages of hypoactive and mixed delirium (43%) as most prevalent. The development of pediatric delirium is associated with cumulative doses of benzodiazepines, opioids, the number of sedative classes used, deep sedation, and cardiothoracic surgery. Increased time mechanically ventilated, length of stay, mortality, healthcare costs, and associations with decreased quality of life after discharge were also found. Multi-institutional and longitudinal studies are required to better determine the natural history, true prevalence, long-term outcomes, management strategies, and financial implications of pediatric delirium.