BACKGROUND: Adherence with follow-up appointments after a pediatric intensive care unit (PICU) admission is likely a key component in managing post-PICU sequalae. However, prior work on PICU follow-up adherence is limited. The objective of this study is to identify hospitalization characteristics, discharge child health metrics, and follow-up characteristics associated with full adherence with recommended follow-up at a quaternary care center after a PICU admission due to respiratory failure.
METHODS: We conducted a retrospective cohort study of patients ≤ 18 years with respiratory failure admitted between 1/2013-12/2014 to a quaternary care PICU. Post-hospitalization full adherence with recommended follow-up in the two years post discharge (1/2013-3/2017) at the quaternary care center was quantified and compared by demographics, baseline child health metrics, hospitalization characteristics, discharge child health metrics, and follow-up characteristics in bivariate and multivariate analyses. Patients were dichotomized into being non-adherent with follow-up (patients who attended less than 100% of recommended appointments at the quaternary care center) and fully adherent (patients who attended 100% of recommended appointments at the quaternary care center).
RESULTS: Of 155 patients alive at hospital discharge, 140 (90.3%) were recommended to follow-up at the quaternary care center. Of the 140 patients with recommended follow-up at the quaternary care center, 32.1% were non-adherent with follow-up and 67.9% were fully adherent. In a multivariable logistic regression model, each additional recommended unique follow-up appointment was associated with lower odds of being fully adherent with follow-up (OR 0.74, 95% CI 0.60-0.91, p = 0.005), and each 10% increase in the proportion of appointments scheduled before discharge was associated with higher odds of being fully adherent with follow-up (OR 1.02, 95% CI 1.01-1.03, p = 0.004).
CONCLUSIONS: After admission for acute respiratory failure, only two-thirds of children were fully adherent with recommended follow-up at a quaternary care center. Our findings suggest that limiting the recommended follow-up to only key essential healthcare providers and working to schedule as many appointments as possible before discharge could improve follow-up adherence. However, a better understanding of the factors that lead to non-adherence with follow-up appointments is needed to inform broader system-level approaches could help improve PICU follow-up adherence.

OBJECTIVE: To describe the occurrence of post-extubation laryngitis, analyze its one-year evolution, and correlate laryngeal lesions with clinical outcomes.
METHODS: Retrospective study including children up to 13 years old at a tertiary hospital between March 2020 and March 2022 with diagnosis of post-extubation laryngitis confirmed by endoscopic examination. Exclusion criteria were prior history of intubation or anatomical airway abnormalities. Medical records were reviewed to characterize patients, underlying diagnosis, laryngeal lesions, treatment, and outcomes at 12-month follow-up.
RESULTS: The study included 38 endoscopically confirmed post-extubation laryngitis cases, corresponding to 86.4% of suspected cases. The mean age was 13.24 months, and 60.5% were male. Acute respiratory failure was the leading cause of intubation. Initial treatment was clinical, and initial diagnosis was defined by nasopharynoglaryngoscopy and/or Microlaryngoscopy and Bronchoscopy (MLB) findings. Initial diagnostic MLB was performed in 65.7% of the patients. Approximately half (53%) of the patients exhibited moderate or severe laryngeal lesions. When compared to mild cases, these patients experienced a higher rate of extubation failures (mean of 1.95 vs. 0.72, p = 0.0013), underwent more endoscopic procedures, and faced worse outcomes, such as the increased need for tracheostomy (p = 0.0001) and the development of laryngeal stenosis (p = 0.0450). Tracheostomy was performed in 14 (36.8%) children. Patients undergoing tracheostomy presented more extubation failures and longer intubation periods. Eight (21%) developed laryngeal stenosis, and 17 (58.6%) had complete resolution on follow-up.
CONCLUSIONS: Post-extubation laryngitis is a frequent diagnosis among patients with clinical symptoms or failed extubation. The severity of laryngeal lesions was linked to a less favorable prognosis observed at one-year follow-up. Otolaryngological evaluation, follow-up protocols, and increased access to therapeutic resources are essential to manage these children properly.
METHODS: Level 4.

BACKGROUND: Few studies have evaluated the perceptions of healthcare providers in China regarding pediatric palliative care, particularly in critical care units (PICUs), where many children receive palliative care. To evaluate the knowledge, attitudes and practices of PICU personnel in China regarding pediatric palliative care.
METHODS: This cross-sectional study was conducted in five cities in China (Shanghai, Suzhou, Chongqing, Chengdu and Yunnan) between November 2022 and December 2022.
RESULTS: The analysis included 204 participants (122 females), with 158 nurses and 46 physicians. The average knowledge, attitude and practice scores were 9.75 ± 2.90 points (possible range, 0-13 points), 38.30 ± 3.80 points (possible range, 12-60 points) and 35.48 ± 5.72 points (possible range, 9-45 points), respectively. Knowledge score was higher for physicians than for nurses (P < 0.001) and for personnel with previous training in pediatric palliative care (P = 0.005). According to structural equation modelling knowledge had a direct positive effect on attitude (β = 0.69 [0.28-1.10], p = 0.001), and indirect on practice (β = 0.82 [0.36-1.28], p < 0.001); attitude had significant effect on practice as well (β = 1.18 [0.81-1.56], p < 0.001).
CONCLUSIONS: There is room for improvement in the knowledge, attitudes and practices of PICU personnel in China regarding pediatric palliative care. The findings of this study may facilitate the design and implementation of targeted education/training programs to better inform physicians and nurses in China about pediatric palliative care.

BACKGROUND: Patients with status asthmaticus (SA) frequently present with lactic acidosis (LA). Our goal is to identify the nature of this LA using the Stewart physicochemical model and to identify the independent factors associated with LA in children with SA.
METHODS: Analytical study of a retrospective cohort using a nested case-control design. Twenty-eight episodes of SA in 24 children were included. Patients admitted to a paediatric intensive care unit (PICU) for SA over a 9-year period were recruited consecutively. Data were analysed using the Stewart model and the Strong Ion Calculator. Data were analysed using descriptive statistics and regression models were fitted within the general linear model.
RESULTS: Hyperlacticaemia (Lact[mM/L] = 3.905 [95% CI = 3.018-4.792]) and acidosis (pH = 7.294 [95% CI = 7.241-7.339]) were observed in 18 episodes (15 patients; 62.5%). According to the Stewart model, acidosis was caused by a decrease in strong ion difference. Initially, pCO2 was high (pCO2[mmHg] = 45.806 [95% CI = 37.314-54.298]) but the net unmeasured ion (NUI) component was normal (NUI = -4,461 [95% CI = -3.51 to -5.412]), and neither changed significantly over the clinical course. There was no need to determine pyruvate, as the NUI was normal and the LA was type B (non-hypoxic, lactate/pyruvate < 25). We observed a correlation (P = .023) between LA and intramuscular epinephrine administered on arrival at hospital, but not between LA and the cumulative dose of nebulized salbutamol.
CONCLUSIONS: Most patients with SA presented LA. The Stewart model confirmed that LA is not hypoxic, probably due to sympathomimetic-related glycolysis.

OBJECTIVE: Critically ill children may suffer from impaired neurocognitive functions years after ICU (intensive care unit) discharge. To assess neurocognitive functions, these children are subjected to a fixed sequence of tests. Undergoing all tests is, however, arduous for former pediatric ICU patients, resulting in interrupted evaluations where several neurocognitive deficiencies remain undetected. As a solution, we propose using machine learning to predict the optimal order of tests for each child, reducing the number of tests required to identify the most severe neurocognitive deficiencies.
METHODS: We have compared the current clinical approach against several machine learning methods, mainly multi-target regression and label ranking methods. We have also proposed a new method that builds several multi-target predictive models and combines the outputs into a ranking that prioritizes the worse neurocognitive outcomes. We used data available at discharge, from children who participated in the PEPaNIC-RCT trial (ClinicalTrials.gov-NCT01536275), as well as data from a 2-year follow-up study. The institutional review boards at each participating site have also approved this follow-up study (ML8052; NL49708.078; Pro00038098).
RESULTS: Our proposed method managed to outperform other machine learning methods and also the current clinical practice. Precisely, our method reaches approximately 80% precision when considering top-4 outcomes, in comparison to 65% and 78% obtained by the current clinical practice and the state-of-the-art method in label ranking, respectively.
CONCLUSIONS: Our experiments demonstrated that machine learning can be competitive or even superior to the current testing order employed in clinical practice, suggesting that our model can be used to severely reduce the number of tests necessary for each child. Moreover, the results indicate that possible long-term adverse outcomes are already predictable as early as at ICU discharge. Thus, our work can be seen as the first step to allow more personalized follow-up after ICU discharge leading to preventive care rather than curative.

OBJECTIVE: The majority of PICU general follow-up occurs with primary care providers. Our objective was to investigate primary care pediatricians\': 1) comfort with and barriers to caring for children after a PICU admission, 2) knowledge of and screening for post-intensive care syndrome in pediatrics (PICS-P), and 3) resource needs.
METHODS: Pilot cross-sectional survey study.
METHODS: Metropolitan Detroit, Michigan from September 2022 to March 2023.
METHODS: Primary care pediatricians.
RESULTS: The survey included 15 questions on provider demographics, comfort with and barriers to caring for children after a PICU admission, knowledge of and screening practices for PICS-P, and resource needs. The median values for continuous data and frequencies for categorical data were calculated. The survey response rate was 17% (26/152). The median age was 38.5 years (interquartile range 34-52 yr) and 19 of 26 (73%) were female. In case studies, 26 of 26 (100%) were \"very comfortable\" resuming care for a patient with a straightforward bronchiolitis PICU admission while 8 of 26 participants (31%) were \"somewhat uncomfortable\" and 1 of 26 (4%) was \"not at all comfortable\" with caring for a patient after a complex acute respiratory distress syndrome PICU admission. Seven of 26 participants (27%) were familiar with the term \"post-intensive care syndrome in pediatrics.\" Over 50% screened for four of five PICS-P domains. Key barriers were care coordination with specialists, discomfort or difficulties with managing new home equipment, and inadequate or missing documentation.
CONCLUSIONS: In this pilot study, approximately one-third of primary care pediatricians had knowledge of PICS-P. Participants experienced numerous care barriers. Our findings suggest future research could engage improved study methods and designs, and focus on interventions to support primary care-provided PICU follow-up.

BACKGROUND: Acute kidney injury (AKI) is a common condition in critically ill children and is associated with increased morbidity and mortality. This study aimed to assess the performance of point-of-care ultrasonography to predict AKI in children undergoing cardiac surgery.
METHODS: In this prospective study, consecutive children underwent kidney Doppler ultrasound examination within 24 h following cardiac surgery, and an experienced operator obtained both renal resistive index (RRI) and renal pulsatility index (RPI). AKI was defined by the Kidney Disease Improving Global Outcome (KDIGO) criteria. The primary outcome was the diagnosis of severe AKI (KDIGO stage 2 or 3) on day 3.
RESULTS: A total of 58 patients were included. Median age and weight were 12.9 months (IQR 6.0-37.9) and 7.36 kg (IQR 5.19-11.40), respectively. On day 3, 13 patients were classified as having AKI, of which 11 were severe. RRI could effectively predict AKI (area under the ROC curve [AUC] 0.83, 95% CI 0.71-0.92; p < 0.001) as well as RPI (AUC 0.81, 95% CI 0.69-0.90; p < 0.001). The optimal cutoff value for RRI was 0.85 (sensitivity, 73%; specificity, 83%; positive predictive value [PPV], 50%; and negative predictive value [NPV], 93%), while for RPI was 1.95 (sensitivity, 73%; specificity, 78%; PPV, 44%; and NPV, 92%). Similar results were found in the analysis for prediction on day 5. Significant correlations were found between Doppler-based variables and estimated GFR and furosemide dose on day 3.
CONCLUSIONS: Kidney Doppler ultrasound may be a promising tool for predicting AKI in children undergoing cardiac surgery.

Vancomycin is a frequently used antibiotic in intensive care units, and the patient\'s renal clearance affects the pharmacokinetic characteristics of vancomycin. Several advantages have been reported for vancomycin continuous intravenous infusion, but studies on continuous dosing regimens based on patients\' renal clearance are insufficient. The aim of this study was to develop a vancomycin serum concentration prediction model by factoring in a patient\'s renal clearance. Children admitted to our institution between July 1, 2021, and July 31, 2022 with records of continuous infusion of vancomycin were included in the study. Sex, age, height, weight, vancomycin dose by weight, interval from the start of vancomycin administration to the time of therapeutic drug monitoring sampling, and vancomycin serum concentrations were analyzed with the linear regression analysis of the mixed effect model. Univariable regression analysis was performed using the vancomycin serum concentration as a dependent variable. It showed that vancomycin dose (p < 0.001) and serum creatinine (p = 0.007) were factors that had the most impact on vancomycin serum concentration. Vancomycin serum concentration was affected by vancomycin dose (p < 0.001) and serum creatinine (p = 0.001) with statistical significance, and a multivariable regression model was obtained as follows: Vancomycin serum concentration (mg/l) = -1.296 + 0.281 × vancomycin dose (mg/kg) + 20.458 × serum creatinine (mg/dl) (adjusted coefficient of determination, R2 = 0.66). This prediction model is expected to contribute to establishing an optimal continuous infusion regimen for vancomycin.

This comprehensive review thoroughly examines post-resuscitation care in pediatric ICUs (PICUs) following cardiac arrest. The analysis encompasses adherence to resuscitation guidelines, advances in therapeutic interventions, and the nuanced management of neurological, cardiovascular, and respiratory considerations during the immediate post-resuscitation phase. Delving into the complexities of long-term outcomes, cognitive and developmental considerations, and rehabilitation strategies, the review emphasizes the importance of family-centered care for pediatric survivors. A call to action is presented, urging continuous education, research initiatives, and quality improvement efforts alongside strengthened multidisciplinary collaboration and advocacy for public awareness. Through implementing these principles, healthcare providers and systems can collectively contribute to ongoing advancements in pediatric post-resuscitation care, ultimately improving outcomes and fostering a culture of excellence in pediatric critical care.

Background: Advancements in palliative surgery of patients with single ventricle physiology have led to an increase in the need for deep sedation protocols for painful procedures. However, positive pressure ventilation during anesthesia can result in unfavorable cardiopulmonary interactions. This patient population may benefit from sedation from these painful procedures. Methods: This study aims to demonstrate the safety and efficacy of deep sedation by pediatric intensivists outside the operating room for children with single ventricle physiology. This is a single-center, retrospective chart review on consecutive pediatric patients with single ventricle physiology who received deep sedation performed by pediatric intensivists between 2013 and 2020. Results: Thirty-three sedations were performed on 27 unique patients. The median age was 3.7 years (25th%-75th%: 2.1-15.6). The majority of the sedations, 88% (29/33), were done on children with Fontan physiology and 12% (4/33) were status-post superior cavopulmonary anastomosis. The primary cardiac defect was hypoplastic left heart in 63% (17/27) of all sedation procedures. There were 24 chest tube placements and 9 cardioversions. Ketamine alone [median dose 1.5 mg/kg (range 0.8-3.7)], ketamine [median dose 1 mg/kg (range 0.1-2.1)] with propofol [median dose 2.3 mg/kg (range 0.7-3.8)], and ketamine [median dose 1.5 mg/kg (range 0.4-3.0)] with morphine [median dose 0.06 mg/kg (range 0.03-0.20)] were the most common sedation regimens used. Adverse events (AEs) occurred in 4 patients (15%), three of which were transient AEs. All sedation encounters were successfully completed. Conclusion: Procedural deep sedation can be safely and effectively administered to single ventricle patients by intensivist-led sedation teams in selective case.