The enteroendocrine axis and its effect on gastrointestinal function, nutrition, and inflammation.

PURPOSE OF REVIEW: Gastrointestinal (GI) dysfunction limits enteral nutrition (EN) delivery in critical illness and contributes to systemic inflammation. The enteroendocrine (EE) axis plays an integral role in this interface between nutrition, inflammation, and GI function in critical illness. In this review, we present an overview of the EE system with a focus on its role in GI inflammation and function. RECENT FINDINGS: Enteroendocrine cells have been primarily described in their role in macronutrient digestion and absorption. Recent research has expanded on the diverse functions of EE cells including their ability to sense microbial peptides and metabolites and regulate immune function and inflammation. Therefore, EE cells may be both affected by and contribute to many pathophysiologic states and interventions of critical illness such as dysbiosis , inflammation, and alternative EN strategies. In this review, we present an overview of EE cells including their growing role in nonnutrient functions and integrate this understanding into relevant aspects of critical illness with a focus on EN. SUMMARY: The EE system is key in maintaining GI homeostasis in critical illness, and how it is impacted and contributes to outcomes in the setting of dysbiosis , inflammation and different feeding strategies in critical illness should be considered.

Automated Calculator for the Pediatric Sequential Organ Failure Assessment Score: Development and External Validation in a Single-Center 7-Year Cohort, 2015-2021.

OBJECTIVES: The pediatric Sequential Organ Failure Assessment (pSOFA) score summarizes severity of organ dysfunction and can be used to predict in-hospital mortality. Manual calculation of the pSOFA score is time-consuming and prone to human error. An automated method that is open-source, flexible, and scalable for calculating the pSOFA score directly from electronic health record data is desirable. DESIGN: Single-center, retrospective cohort study. SETTING: Quaternary 40-bed PICU. PATIENTS: All patients admitted to the PICU between 2015 and 2021 with ICU stay of at least 24 hours. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: We used 77 records to evaluate the automated score. The automated algorithm had an overall accuracy of 97%. The algorithm calculated the respiratory component of two cases incorrectly. An expert human annotator had an initial accuracy of 75% at the patient level and 95% at the component level. An untrained human annotator with general clinical research experience had an overall accuracy of 16% and component-wise accuracy of 67%. Weighted kappa for agreement between the automated method and the expert annotator's initial score was 0.92 (95% CI, 0.88-0.95), and between the untrained human annotator and the automated score was 0.50 (95% CI, 0.36-0.61). Data from 9146 patients (in-hospital mortality 3.6%) were included to validate externally the discriminability of the automated pSOFA score. The admission-day pSOFA score had an area under the receiver operating characteristic curve of 0.79 (95% CI, 0.77-0.82). CONCLUSIONS: The developed automated algorithm calculates pSOFA score with high accuracy and is more accurate than a trained expert rater and nontrained data abstracter. pSOFA's performance for predicting in-hospital mortality was lower in our cohort than it was for the originally derived score.

Dynamic Prediction of Mortality Using Longitudinally Measured Pediatric Sequential Organ Failure Assessment Scores: A Joint Modeling Approach.

OBJECTIVES: The pediatric Sequential Organ Failure Assessment (pSOFA) score was designed to track illness severity and predict mortality in critically ill children. Most commonly, pSOFA at a point in time is used to assess a static patient condition. However, this approach has a significant drawback because it fails to consider any changes in a patients' condition during their PICU stay and, especially, their response to initial critical care treatment. We aimed to evaluate the performance of longitudinal pSOFA scores for predicting mortality. DESIGN: Single-center, retrospective cohort study. SETTING: Quaternary 40-bed PICU. PATIENTS: All patients admitted to the PICU between 2015 and 2021 with at least 24 hours of ICU stay. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: We calculated daily pSOFA scores up to 30 days, or until death or discharge from the PICU, if earlier. We used the joint longitudinal and time-to-event data model for the dynamic prediction of 30-day in-hospital mortality. The dataset, which included 9146 patients with a 30-day in-hospital mortality of 2.6%, was divided randomly into training (75%) and validation (25%) subsets, and subjected to 40 repeated stratified cross-validations. We used dynamic area under the curve (AUC) to evaluate the discriminative performance of the model. Compared with the admission-day pSOFA score, AUC for predicting mortality between days 5 and 30 was improved on average by 6.4% (95% CI, 6.3-6.6%) using longitudinal pSOFA scores from the first 3 days and 9.2% (95% CI, 9.0-9.5%) using scores from the first 5 days. CONCLUSIONS: Compared with admission-day pSOFA score, longitudinal pSOFA scores improved the accuracy of mortality prediction in PICU patients at a single center. The pSOFA score has the potential to be used dynamically for the evaluation of patient conditions.

Changes in Global Nutrition Practices in Critically Ill Children and the Influence of Emerging Evidence: A Secondary Analysis of the Pediatric International Nutrition Studies, 2009-2018.

BACKGROUND: The timeline of the 3 Pediatric International Nutrition Studies (PINS) coincided with the publication of 2 major guidelines for the timing of parenteral nutrition (PN) and recommended energy and protein delivery dose. OBJECTIVE: The study's main objective was to describe changes in the nutrition delivery practice recorded in PINS1 and PINS2 (PINS1-2) (conducted in 2009 and 2011, preexposure epoch) vs PINS3 (conducted in 2018, postexposure epoch), in relation to the published practice guidelines. DESIGN: This study is a secondary analysis of data from a multicenter prospective cohort study. PARTICIPANTS/SETTING: Data from 3650 participants, aged 1 month to 18 years, admitted to 100 unique hospitals that participated in 3 PINS was used for this study. MAIN OUTCOME MEASURES: The time in days from pediatric intensive care unit admission to the initiation of PN and enteral nutrition delivery were the primary outcomes. Prescribed energy and protein goals were the secondary outcomes. STATISTICAL ANALYSES PERFORMED: A frailty model with a random intercept per hospital with stratified baseline hazard function by region for the primary outcomes and a mixed-effects negative binomial regression with random intercept per hospital for the secondary outcomes. RESULTS: The proportion of patients receiving enteral nutrition (88.3% vs 80.6%; P < .001) was higher, and those receiving PN (20.6% vs 28.8%; P < .001) was lower in the PINS3 cohort compared with PINS1-2. In the PINS3 cohort, the odds of initiating PN during the first 10 days of pediatric intensive care unit admission were lower, compared with the PINS1-2 cohort (hazard ratio 0.8, 95% CI 0.67 to 0.95; P = .013); and prescribed energy goal was lower compared with the PINS1-2 cohort (incident rate ratio 0.918, 95% CI 0.874 to 0.965; P = .001). CONCLUSIONS: The likelihood of initiation of PN delivery significantly decreased during the first 10 days after admission in the PINS3 cohort compared with PINS1-2. Energy goal prescription in children receiving mechanical ventilation significantly decreased in the postguidelines epoch compared with the preguidelines epoch.

Comparing the Quality of Domain-Specific Versus General Language Models for Artificial Intelligence-Generated Differential Diagnoses in PICU Patients.

OBJECTIVES: Generative language models (LMs) are being evaluated in a variety of tasks in healthcare, but pediatric critical care studies are scant. Our objective was to evaluate the utility of generative LMs in the pediatric critical care setting and to determine whether domain-adapted LMs can outperform much larger general-domain LMs in generating a differential diagnosis from the admission notes of PICU patients. DESIGN: Single-center retrospective cohort study. SETTING: Quaternary 40-bed PICU. PATIENTS: Notes from all patients admitted to the PICU between January 2012 and April 2023 were used for model development. One hundred thirty randomly selected admission notes were used for evaluation. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Five experts in critical care used a 5-point Likert scale to independently evaluate the overall quality of differential diagnoses: 1) written by the clinician in the original notes, 2) generated by two general LMs (BioGPT-Large and LLaMa-65B), and 3) generated by two fine-tuned models (fine-tuned BioGPT-Large and fine-tuned LLaMa-7B). Differences among differential diagnoses were compared using mixed methods regression models. We used 1,916,538 notes from 32,454 unique patients for model development and validation. The mean quality scores of the differential diagnoses generated by the clinicians and fine-tuned LLaMa-7B, the best-performing LM, were 3.43 and 2.88, respectively (absolute difference 0.54 units [95% CI, 0.37-0.72], p < 0.001). Fine-tuned LLaMa-7B performed better than LLaMa-65B (absolute difference 0.23 unit [95% CI, 0.06-0.41], p = 0.009) and BioGPT-Large (absolute difference 0.86 unit [95% CI, 0.69-1.0], p < 0.001). The differential diagnosis generated by clinicians and fine-tuned LLaMa-7B were ranked as the highest quality in 144 (55%) and 74 cases (29%), respectively. CONCLUSIONS: A smaller LM fine-tuned using notes of PICU patients outperformed much larger models trained on general-domain data. Currently, LMs remain inferior but may serve as an adjunct to human clinicians in real-world tasks using real-world data.

Stress Ulcer Prophylaxis Versus Placebo-A Blinded Pilot Randomized Controlled Trial to Evaluate the Safety of Two Strategies in Critically Ill Infants With Congenital Heart Disease.

OBJECTIVES: The routine use of stress ulcer prophylaxis (SUP) in infants with congenital heart disease (CHD) in the cardiac ICU (CICU) is controversial. We aimed to conduct a pilot study to explore the feasibility of performing a subsequent larger trial to assess the safety and efficacy of withholding SUP in this population (NCT03667703). DESIGN, SETTING, PATIENTS: Single-center, prospective, double-blinded, parallel group (SUP vs. placebo), pilot randomized controlled pilot trial (RCT) in infants with CHD admitted to the CICU and anticipated to require respiratory support for greater than 24 hours. INTERVENTIONS: Patients were randomized 1:1 (stratified by age and admission type) to receive a histamine-2 receptor antagonist or placebo until respiratory support was discontinued, up to 14 days, or transfer from the CICU, if earlier. MEASUREMENTS AND MAIN RESULTS: Feasibility was defined a priori by thresholds of screening rate, consent rate, timely drug allocation, and protocol adherence. The safety outcome was the rate of clinically significant upper gastrointestinal (UGI) bleeding. We screened 1,426 patients from February 2019 to March 2022; of 132 eligible patients, we gained informed consent in 70 (53%). Two patients did not require CICU admission after obtaining consent, and the remaining 68 patients were randomized to SUP (n = 34) or placebo (n = 34). Ten patients were withdrawn early, because of a change in eligibility (n = 3) or open-label SUP use (n = 7, 10%). Study procedures were completed in 58 patients (89% protocol adherence). All feasibility criteria were met. There were no clinically significant episodes of UGI bleeding during the pilot RCT. The percentage of patients with other nonserious adverse events did not differ between groups. CONCLUSIONS: Withholding of SUP in infants with CHD admitted to the CICU was feasible. A larger multicenter RCT designed to confirm the safety of this intervention and its impact on incidence of UGI bleeding, gastrointestinal microbiome, and other clinical outcomes is warranted.

Improving anthropometric measurements in hospitalized children: A quality-improvement project.

BACKGROUND: The objective of this quality-improvement project was to increase documentation rates of anthropometrics (measured weight, length/height, and body mass index [BMI], which are critical to identify patients at malnutrition (undernutrition) risk) from <50% to 80% within 24 hours of hospital admission for pediatric patients. METHODS: Multidisciplinary champion teams on surgical, cardiac, and intensive care (ICU) pilot units were established to identify and iteratively test interventions addressing barriers to documentation from May 2016 to June 2018. Percentage of patients with documented anthropometrics <24 h of admission was assessed monthly by statistical process control methodology. Percentage of patients at malnutrition (undernutrition) risk by anthropometrics was compared by χ2 for 4 months before and after intervention. RESULTS: Anthropometric documentation rates significantly increased (P < 0.001 for all): BMI, from 11% to 89% (surgical), 33% to 57% (cardiac), and 16% to 51% (ICU); measured weight, from 24% to 88% (surgical), 69% to 83% (cardiac), and 51% to 67% (ICU); and length/height, from 12% to 89% (surgical), 38% to 57% (cardiac), and 26% to 63% (ICU). Improvement hospital-wide was observed (BMI, 42% to 70%, P < 0.001) with formal dissemination tactics. For pilot units, moderate/severe malnutrition (undernutrition) rates tripled (1.2% [24 of 2081] to 3.4% [81 of 2374], P < 0.001). CONCLUSION: Documentation of anthropometrics on admission substantially improved after establishing multidisciplinary champion teams. Goal rate (80%) was achieved within 26 months for all anthropometrics in the surgical unit and for weight in the cardiac unit. Improved documentation rates led to significant increase in identification of patients at malnutrition (undernutrition) risk.

Validation and Extension of the Association Between Potentially Excess Oxygen Exposure and Death in Mechanically Ventilated Children.

OBJECTIVES: "Cumulative excess oxygen exposure" (CEOE)-previously defined as the mean hourly administered Fio2 above 0.21 when the corresponding hourly Spo2 was 95% or above-was previously shown to be associated with mortality. The objective of this study was to examine the relationship among Fio2, Spo2, and mortality in an independent cohort of mechanically ventilated children. DESIGN: Retrospective cross-sectional study. SETTING: Quaternary-care PICU. PATIENTS: All patients admitted to the PICU between 2012 and 2021 and mechanically ventilated via endotracheal tube for at least 24 hours. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Among 3,354 patients, 260 (8%) died. Higher CEOE quartile was associated with increased mortality (p = 0.001). The highest CEOE quartile had an 87% increased risk of mortality (95% CI, 7-236) compared with the first CEOE quartile. The hazard ratio for extended CEOE exposure, which included mechanical ventilation data from throughout the patients' mechanical ventilation time rather than only from the first 24 hours of mechanical ventilation, was 1.03 (95% CI, 1.02-1.03). CONCLUSIONS: Potentially excess oxygen exposure in patients whose oxygen saturation was at least 95% was associated with increased mortality.

Determining energy and protein needs in critically ill pediatric patients: A scoping review.

INTRODUCTION: In critically ill pediatric patients, optimal energy and protein intakes are associated with a decreased risk of morbidity and mortality. However, the determination of energy and protein needs is complex. The objective of this scoping review was to understand the extent and type of evidence related to the methods used to determine energy and protein needs in critically ill pediatric patients. METHODS: An international expert group composed of dietitians, pediatric intensivists, a nurse, and a methodologist conducted the review, based on the Johanna Briggs Institute methodology. Two researchers searched for studies published between 2008 and 2023 in two electronic databases, screened abstracts and relevant full texts for eligibility, and extracted data. RESULTS: A total of 39 studies were included, mostly conducted in critically ill children undergoing ventilation, to assess the accuracy of predictive equations for estimating resting energy expenditure (REE) (n = 16, 41%) and the impact of clinical factors (n = 22, 56%). They confirmed the risk of underestimation or overestimation of REE when using predictive equations, of which the Schofield equation was the least inaccurate. Apart from weight and age, which were positively correlated with REE, the impact of other factors was not always consistent. No new indirect calorimeter method used to determine protein needs has been validated. CONCLUSION: This scoping review highlights the need for scientific data on the methods used to measure energy expenditure and determine protein needs in critically ill children. Studies using a reference method are needed to validate an indirect calorimeter.

Heart Rate Change as a Potential Digital Biomarker of Brain Death in Critically Ill Children With Acute Catastrophic Brain Injury.

Bedside measurement of heart rate (HR) change (HRC) may provide an objective physiologic marker for when brain death (BD) may have occurred, and BD testing is indicated in children. OBJECTIVES: To determine whether HRC, calculated using numeric HR measurements sampled every 5 seconds, can identify patients with BD among patients with catastrophic brain injury (CBI). DESIGN SETTING AND PARTICIPANTS: Single-center, retrospective study (2008-2020) of critically ill children with acute CBI. Patients with CBI had a neurocritical care consultation, were admitted to an ICU, had acute neurologic injury on presentation or during hospitalization based on clinical and/or imaging findings, and died or survived with Glasgow Coma Scale (GCS) less than 13 at hospital discharge. Patients meeting BD criteria (BD group) were compared with those with cardiopulmonary death (CD group) or those who survived to discharge. MAIN OUTCOMES AND MEASURES: HRC was calculated as the interquartile range of HR divided by median HR using 5-minute windows with 50% overlap for up to 5 days before death or end of recording. HRC was compared among the BD, CD, and survivor groups. RESULTS: Of 96 patients with CBI (69% male, median age 4 years), 28 died (8 BD, 20 CD) and 20 survived (median GCS 9 at discharge). Within 24 hours before death, HRC was lower in BD compared with CD patients or survivors (0.01 vs 0.03 vs 0.04, p = 0.001). In BD patients, HRC decreased at least 1 day before death. HRC discriminated BD from CD patients and survivors with 90% sensitivity, 70% specificity, 44% positive predictive value, 96% negative predictive value (area under the receiver operating characteristic curve 0.88, 95% CI, 0.80-0.93). CONCLUSIONS AND RELEVANCE: HRC is a novel digital biomarker that, with further validation, may be useful as a classifier for BD in the overall course of patients with CBI.

Long-Term Functional Outcomes at 1-Year After Hospital Discharge in Critically Ill Neonates With Congenital Diaphragmatic Hernia.

OBJECTIVES: Congenital diaphragmatic hernia (CDH) is a birth defect associated with long-term morbidity. Our objective was to examine longitudinal change in Functional Status Scale (FSS) after hospital discharge in CDH survivors. DESIGN: Single-center retrospective cohort study. SETTING: Center for comprehensive CDH management at a quaternary, free-standing children's hospital. PATIENTS: Infants with Bochdalek CDH were admitted to the ICU between January 2009 and December 2019 and survived until hospital discharge. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: One hundred forty-two infants (58% male, mean birth weight 3.08 kg, 80% left-sided defects) met inclusion criteria. Relevant clinical data were extracted from the medical record to calculate FSS (primary outcome) at hospital discharge and three subsequent outpatient follow-up time points. The median (interquartile range [IQR]) FSS score at hospital discharge was 8.0 (7.0-9.0); 39 patients (27.5%) had at least moderate impairment (FSS ≥ 9). Median (IQR) FSS at 0- to 6-month ( n = 141), 6- to 12-month ( n = 141), and over 12-month ( n = 140) follow-up visits were 7.0 (7.0-8.0), 7.0 (6.0-8.0), and 6.0 (6.0-7.0), respectively. Twenty-one patients (15%) had at least moderate impairment at over 12-month follow-up; median composite FSS scores in the over 12-month time point decreased by 2.0 points from hospital discharge. Median feeding domain scores improved by 1.0 (1.0-2.0), whereas other domain scores remained without impairment. Multivariable analysis demonstrated right-sided, C- or D-size defects, extracorporeal membrane oxygenation use, cardiopulmonary resuscitation, and chromosomal anomalies were associated with impairment. CONCLUSIONS: The majority of CDH survivors at our center had mild functional status impairment (FSS ≤ 8) at discharge and 1-year follow-up; however, nearly 15% of patients had moderate impairment during this time period. The feeding domain had the highest level of functional impairment. We observed unchanged or improving functional status longitudinally over 1-year follow-up after hospital discharge. Longitudinal outcomes will guide interdisciplinary management strategies in CDH survivors.

Postpyloric vs gastric enteral nutrition in critically ill children: A single-center retrospective cohort study.

BACKGROUND: We aimed to describe enteral nutrition (EN) delivery in patients receiving postpyloric EN (PPEN) vs gastric EN (GEN). METHODS: Single-center retrospective study including patients aged <21 years admitted to an intensive care unit in a pediatric quaternary care hospital for ≧48 h who received PPEN or GEN as a first approach, as guided by a nutrition algorithm. PPEN patients were 1:1 propensity score matched to GEN patients on demographics, clinical characteristics, and disease severity. Days to EN initiation from admission, percentage of EN adequacy (delivered EN volume/prescribed EN volume) on days 1-3 and 7 after EN initiation, and time to achieving 60% of prescribed EN volume were compared between the two groups using Wilcoxon Mann-Whitney tests and a Cox proportional hazards model. Data are presented as median (IQR1, IQR3). RESULTS: Forty-six PPEN and 46 GEN patients were matched. Median time to EN initiation was 3.25 (2, 6.8) days for PPEN and 4.15 (1.5, 7.1) days for GEN (P = 0.6). Percentage of EN adequacy was greater for PPEN than GEN patients (day 1 PPEN 59.4% [18.8, 87.5] vs GEN 21.1% [7.8, 62.8], day 2 PPEN 54.3% [16.7, 95.8] vs GEN 24% [5.4, 56.7], day 3 PPEN 65.4% [14.7, 100] vs GEN 16% [0, 64.6], day 7 PPEN 77.8% [11.1, 100] vs GEN 13.8% [0, 74.5]; P < 0.05). PPEN patients had greater likelihood of achieving 60% of their prescribed EN volume than GEN patients (hazard ratio 1.84, 95% CI 1.07-3.15; P = 0.028). CONCLUSION: PPEN was associated with greater EN delivery compared with GEN.

Impact of implementing an evidence-based definition of enteral nutrition intolerance on nutrition delivery: A prospective, cross-sectional cohort study.

BACKGROUND: Enteral nutrition (EN) interruptions because of EN intolerance impede nutrient delivery. We aimed to examine whether revising the EN intolerance definition of an algorithm would decrease EN interruptions and improve nutrient delivery in critically ill children. METHODS: We performed a cross-sectional cohort study including patients who were admitted to our intensive care unit (ICU) for >24 h and received EN. The EN intolerance definition in our nutrition algorithm was modified to include two symptoms of EN intolerance. We compared time to 60% EN adequacy (EN delivered/EN prescribed x 100) and EN interruptions before and after this intervention. RESULTS: We included 150 eligible patients, 78 and 72 patients in the preimplementation and postimplementation cohorts, respectively. There were no significant differences in demographics and clinical characteristics. The preimplementation and postimplementation cohorts achieved 60% EN adequacy 4 (2-5) days and 3 (2-5) days after ICU admission, respectively (P = 0.59). The preimplementation cohort had a median of 1 (1-2) interruption per patient and the postimplementation cohort 2 (1-3; P = 0.08). The frequency of interruptions because of EN intolerance within the first 8 days of ICU admission was 17 in the preimplementation and 10 in the postimplementation cohorts. CONCLUSION: Modifying the EN intolerance definition of a nutrition algorithm did not change the time to 60% EN adequacy or total number of EN interruptions in critically ill children. EN intolerance and interruptions continue to limit nutrient delivery. Research on the best definition for EN intolerance and its effect on nutrition outcomes is needed.

Quality measurement and surveillance platforms in critically ill children: A scoping review.

BACKGROUND/AIM: The objective of this study was to describe current surveillance platforms which support routine quality measurement in paediatric critical care. METHOD: Scoping review. The search strategy consisted of a traditional database and grey literature search as well as expert consultation. Surveillance platforms were eligible for inclusion if they collected measures of quality in critically ill children. RESULTS: The search strategy identified 21 surveillance platforms, collecting 57 unique outcome (70%), process (23%), and structural (7%) quality measures. Hospital-associated infections were the most commonly collected outcome measure across all platforms (n = 11; 52%). In general, case definitions were not harmonised across platforms, with the exception of nationally mandated hospital-associated infections (e.g., central line-associated blood stream infection). Data collection relied on manual coding. Platforms typically did not provide an evidence-based rationale for measures collected, with no identifiable reports of co-designed, consensus-derived measures or consumer involvement in measure selection or prioritisation. CONCLUSIONS: Quality measurement in critically ill children lacks uniformity in definition which limits local and international benchmarking. Current surveillance activities for critically ill children focus heavily on outcome measurement, with process, structural, and patient-reported measures largely overlooked. Long-term outcome measures were not routinely collected. Harmonisation of paediatric intensive care unit quality measures is needed and can be achieved using prioritisation and consensus/co-design methods.

Intermittent versus continuous enteral nutrition in critically ill children: A pre-planned secondary analysis of an international prospective cohort study.

BACKGROUND & AIMS: Intermittent enteral nutrition (EN) may have physiologic benefits over continuous feeding in critical illness. We aimed to compare nutrition and infection outcomes in critically ill children receiving intermittent or continuous EN. METHODS: International, multi-center prospective observational study of mechanically ventilated children, 1 month to 18 years of age, receiving EN. Percent energy or protein adequacy (energy or protein delivered/prescribed × 100) and acquired infection rates were compared between intermittent and continuous EN groups using adjusted-multivariable and 4:1 propensity-score matched (PSM) analyses. Sensitivity analyses were performed after excluding patients who crossed over between intermittent and continuous EN. RESULTS: 1375 eligible patients from 66 PICUs were included. Patients receiving continuous EN (N = 1093) had a higher prevalence of respiratory illness and obesity, and lower prevalence of neurologic illness and underweight status on admission, compared to those on intermittent EN (N = 282). Percent energy or protein adequacy, proportion of patients who achieved 60% of energy or protein adequacy in the first 7 days of admission, and rates of acquired infection were not different between the 2 groups in adjusted-multivariable and propensity score matching analyses (P > 0.05). CONCLUSION: Intermittent versus continuous EN strategy is not associated with differences in energy or protein adequacy, or acquired infections, in mechanically ventilated, critically ill children. Until further evidence is available, an individualized feeding strategy rather than a universal approach may be appropriate.

Bio-impedance spectroscopy for total body water assessment in pediatric surgical patients: A single center pilot cohort study.

BACKGROUND: Excess peri­operative fluid administration is associated with higher morbidity and mortality. We aimed to examine the feasibility of bio-impedance spectroscopy (BIS) to record serial peri­operative fluid volumes in the pediatric surgical population. METHODS: Children who underwent major elective general surgery from March 2019 to March 2020 were included. Total body water (TBW) assessment by BIS was recorded prior to surgery and on subsequent post-operative days (POD). We recorded the duration, tolerance and completion of each BIS assessment. We used Spearman coefficient and Bland Altman analysis to examine correlation and agreement between fluid balance (FB) in ml/kg calculated from intake/output (IO) recording and measured by BIS. RESULTS: 20 (87%) of 23 consented patients, median age 2.5 (1-17) years and 13 (65%) male, completed pre-operative and post-operative measurements, and were included in the analysis. Median time required for BIS assessments was 10 (5-15) minutes, and there were no recorded side effects or intolerance. The correlation coefficient for fluid balance measurements on POD 1 between BIS and IO methods was 0.59 (p = 0.01); mean bias (limits) of agreement was 26 (111 to 163) mL/kg. The trend in TBW measured by BIS declined from POD 1-3, while the recorded FB increased. CONCLUSION: Bedside BIS is feasible and well-tolerated. Despite moderate correlation between fluid balance assessment by BIS and IO on POD 1, the wide limits of agreement between values from these methods preclude their use interchangeably. The role of BIS in assessment of fluid status in the pediatric surgical population should be further examined. LEVEL OF EVIDENCE: Level III.

Implementation Science in Pediatric Critical Care - Sedation and Analgesia Practices as a Case Study.

Sedation and analgesia (SA) management is essential practice in the pediatric intensive care unit (PICU). Over the past decade, there has been significant interest in optimal SA management strategy, due to reports of the adverse effects of SA medications and their relationship to ICU delirium. We reviewed 13 studies examining SA practices in the PICU over the past decade for the purposes of reporting the study design, outcomes of interest, SA protocols used, strategies for implementation, and the patient-centered outcomes. We highlighted the paucity of evidence-base for these practices and also described the existing gaps in the intersection of implementation science (IS) and SA protocols in the PICU. Future studies would benefit from a focus on effective implementation strategies to introduce and sustain evidence-based SA protocols, as well as novel quasi-experimental study designs that will help determine their impact on relevant clinical outcomes, such as the occurrence of ICU delirium. Adoption of the available evidence-based practices into routine care in the PICU remains challenging. Using SA practice as an example, we illustrated the need for a structured approach to the implementation science in pediatric critical care. Key components of the successful adoption of evidence-based best practice include the assessment of the local context, both resources and barriers, followed by a context-specific strategy for implementation and a focus on sustainability and integration of the practice into the permanent workflow.