Outcomes of Day 1 Multiple Organ Dysfunction Syndrome in the PICU

An In-Depth Look at Nutrition Support and Adequacy for Critically Ill Children with Organ Dysfunction

Patients admitted to a pediatric intensive care unit (PICU) need individualized nutrition support that is tailored to their particular disease severity, nutritional status, and therapeutic interventions. We aim to evaluate how calories and proteins are provided during the first seven days of hospitalization for children in critical condition with organ dysfunction (OD). A single-center retrospective cohort study of children aged 2-18 years, mechanically ventilated > 48 h, and admitted > 7 days to a PICU from 2016 to 2017 was carried out. Nutrition support included enteral and parenteral nutrition. We calculated scores for the Pediatric Sequential Organ Failure Assessment (pSOFA) on days 1 and 3 of admission, with OD defined as a score > 5. Of 4199 patient admissions, 164 children were included. The prevalence of OD for days 1 and 3 was 79.3% and 78.7%, respectively. On day 3, when pSOFA scores trended upward, decreased, or remained unchanged, median (IQR) caloric intake was 0 (0-15), 9.2 (0-25), and 22 (1-43) kcal/kg/day, respectively (p = 0.0032); when pSOFA scores trended upward, decreased, or remained unchanged, protein intake was 0 (0-0.64), 0.44 (0-1.25), and 0.66 (0.04-1.67) g/kg/day, respectively (p = 0.0023). Organ dysfunction was prevalent through the first 72 h of a PICU stay. When the pSOFA scores trended downward or remained unchanged, caloric and protein intakes were higher than those that trended upward.

Patterns of Multiple Organ Dysfunction and Renal Recovery in Critically Ill Children and Young Adults Receiving Continuous Renal Replacement Therapy

OBJECTIVES

Acute kidney injury requiring dialysis (AKI-D) commonly occurs in the setting of multiple organ dysfunction syndrome (MODS). Continuous renal replacement therapy (CRRT) is the modality of choice for AKI-D. Mid-term outcomes of pediatric AKI-D supported with CRRT are unknown. We aimed to describe the pattern and impact of organ dysfunction on renal outcomes in critically ill children and young adults with AKI-D.

DESIGN

Retrospective cohort.

SETTING

Two large quarternary care pediatric hospitals.

PATIENTS

Patients 26 y old or younger who received CRRT from 2014 to 2020, excluding patients with chronic kidney disease.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Organ dysfunction was assessed using the Pediatric Logistic Organ Dysfunction-2 (PELOD-2) score. MODS was defined as greater than or equal to two organ dysfunctions. The primary outcome was major adverse kidney events at 30 days (MAKE30) (decrease in estimated glomerular filtration rate greater than or equal to 25% from baseline, need for renal replacement therapy, and death). Three hundred seventy-three patients, 50% female, with a median age of 84 mo (interquartile range [IQR] 16-172) were analyzed. PELOD-2 increased from 6 (IQR 3-9) to 9 (IQR 7-12) between ICU admission and CRRT initiation. Ninety-seven percent of patients developed MODS at CRRT start and 266 patients (71%) had MAKE30. Acute kidney injury (adjusted odds ratio [aOR] 3.55 [IQR 2.13-5.90]), neurologic (aOR 2.07 [IQR 1.15-3.74]), hematologic/oncologic dysfunction (aOR 2.27 [IQR 1.32-3.91]) at CRRT start, and progressive MODS (aOR 1.11 [IQR 1.03-1.19]) were independently associated with MAKE30.

CONCLUSIONS

Ninety percent of critically ill children and young adults with AKI-D develop MODS by the start of CRRT. Lack of renal recovery is associated with specific extrarenal organ dysfunction and progressive multiple organ dysfunction. Currently available extrarenal organ support strategies, such as therapeutic plasma exchange lung-protective ventilation, and other modifiable risk factors, should be incorporated into clinical trial design when investigating renal recovery.

The Pediatric Data Science and Analytics Subgroup of the Pediatric Acute Lung Injury and Sepsis Investigators Network: Use of Supervised Machine Learning Applications in Pediatric Critical Care Medicine Research

OBJECTIVE

Perform a scoping review of supervised machine learning in pediatric critical care to identify published applications, methodologies, and implementation frequency to inform best practices for the development, validation, and reporting of predictive models in pediatric critical care.

DESIGN

Scoping review and expert opinion.

SETTING

We queried CINAHL Plus with Full Text (EBSCO), Cochrane Library (Wiley), Embase (Elsevier), Ovid Medline, and PubMed for articles published between 2000 and 2022 related to machine learning concepts and pediatric critical illness. Articles were excluded if the majority of patients were adults or neonates, if unsupervised machine learning was the primary methodology, or if information related to the development, validation, and/or implementation of the model was not reported. Article selection and data extraction were performed using dual review in the Covidence tool, with discrepancies resolved by consensus.

SUBJECTS

Articles reporting on the development, validation, or implementation of supervised machine learning models in the field of pediatric critical care medicine.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Of 5075 identified studies, 141 articles were included. Studies were primarily (57%) performed at a single site. The majority took place in the United States (70%). Most were retrospective observational cohort studies. More than three-quarters of the articles were published between 2018 and 2022. The most common algorithms included logistic regression and random forest. Predicted events were most commonly death, transfer to ICU, and sepsis. Only 14% of articles reported external validation, and only a single model was implemented at publication. Reporting of validation methods, performance assessments, and implementation varied widely. Follow-up with authors suggests that implementation remains uncommon after model publication.

CONCLUSIONS

Publication of supervised machine learning models to address clinical challenges in pediatric critical care medicine has increased dramatically in the last 5 years. While these approaches have the potential to benefit children with critical illness, the literature demonstrates incomplete reporting, absence of external validation, and infrequent clinical implementation.

The Design of Nested Adaptive Clinical Trials of Multiple Organ Dysfunction Syndrome Children in a Single Study

OBJECTIVES

Describe the statistical design of the Personalized Immunomodulation in Sepsis-induced Multiple Organ Dysfunction Syndrome (MODS) (PRECISE) study.

DESIGN

Children with sepsis-induced MODS undergo real-time immune testing followed by assignment to an immunophenotype-specific study cohort. Interventional cohorts include the granulocyte macrophage-colony stimulating factor (GM-CSF) for the Reversal of Immunoparalysis in Pediatric Sepsis-induced MODS (GRACE)-2 trial, which uses the drug GM-CSF (or placebo) to reverse immunoparalysis; and the Targeted Reversal of Inflammation in Pediatric Sepsis-induced MODS (TRIPS) trial, which uses the drug anakinra (or placebo) to reverse systemic inflammation. Both trials have adaptive components and use a statistical framework in which frequent data monitoring assesses futility and efficacy, allowing potentially earlier stopping than traditional approaches. Prespecified simulation-based stopping boundaries are customized to each trial to preserve an overall one-sided type I error rate. The TRIPS trial also uses response-adaptive randomization, updating randomization allocation proportions to favor active arms that appear more efficacious based on accumulating data.

SETTING

Twenty-four U.S. academic PICUs.

PATIENTS

Septic children with specific immunologic derangements during ongoing dysfunction of at least two organs.

INTERVENTIONS

The GRACE-2 trial compares GM-CSF and placebo in children with immunoparalysis. The TRIPS trial compares four different doses of anakinra to placebo in children with moderate to severe systemic inflammation.

MEASUREMENTS AND MAIN RESULTS

Both trials assess primary efficacy using the sum of the daily pediatric logistic organ dysfunction-2 score over 28 days. Ranked summed scores, with mortality assigned the worst possible value, are compared between arms using the Wilcoxon Rank Sum test (GRACE-2) and a dose-response curve (TRIPS). We present simulation-based operating characteristics under several scenarios to demonstrate the behavior of the adaptive design.

CONCLUSIONS

The adaptive design incorporates innovative statistical features that allow for multiple active arms to be compared with placebo based on a child's personal immunophenotype. The design increases power and provides optimal operating characteristics compared with traditional conservative methods.

Predicting Pediatric ICU Outcomes: Yet Another SOFA (Study) on the PODIUM?

How to cite this article: Solomon R. Predicting Pediatric ICU Outcomes: Yet Another SOFA (Study) on the PODIUM? Indian J Crit Care Med 2023;27(8):526-528.

Prognostic factors for multi-organ dysfunction in pediatric oncology patients admitted to the pediatric intensive care unit

Background

Pediatric oncology patients who require admission to the pediatric intensive care unit (PICU) have worse outcomes compared to their non-cancer peers. Although multi-organ dysfunction (MOD) plays a pivotal role in PICU mortality and morbidity, risk factors for MOD have not yet been identified. We aimed to identify risk factors at PICU admission for new or progressive MOD (NPMOD) during the first week of PICU stay.

Methods

This retrospective cohort study included all pediatric oncology patients aged 0 to 18 years admitted to the PICU between June 2018 and June 2021. We used the recently published PODIUM criteria for defining multi-organ dysfunction and estimated the association between covariates at PICU baseline and the outcome NPMOD using a multivariable logistic regression model, with PICU admission as unit of study. To study the predictive performance, the model was internally validated by using bootstrap.

Results

A total of 761 PICU admissions of 571 patients were included. NPMOD was present in 154 PICU admissions (20%). Patients with NPMOD had a high mortality compared to patients without NPMOD, 14% and 1.0% respectively. Hemato-oncological diagnosis, number of failing organs and unplanned admission were independent risk factors for NPMOD. The prognostic model had an overall good discrimination and calibration.

Conclusion

The risk factors at PICU admission for NPMOD may help to identify patients who may benefit from closer monitoring and early interventions. When applying the PODIUM criteria, we found some opportunities for fine-tuning these criteria for pediatric oncology patients, that need to be validated in future studies.

Sepsis Prognostic Scores Accuracy in Predicting Adverse Outcomes in Children With Sepsis Admitted to the Pediatric Intensive Care Unit From the Emergency Department: A 10-Year Single-Center Experience

OBJECTIVE

To compare the performance of several prognostic scores calculated in the first 24 hours of admission (day 1) in predicting mortality and morbidity among critically ill children with sepsis presenting to the pediatric emergency department (PED) and then admitted to the pediatric intensive care unit (PICU).

METHODS

Single-center, retrospective cohort study in children with a diagnosis of sepsis visiting the PED and then admitted to the PICU from January 1, 2010 to December 31, 2019. Sepsis organ dysfunction scores-pediatric Sequential Organ Failure Assessment (pSOFA) (Schlapbach, Matics, Shime), quickSOFA, quickSOFA-L, Pediatric Logistic Organ Dysfunction (PELOD)-2, quickPELOD-2, and Pediatric Multiple Organ Dysfunction score-were calculated during the first 24 hours of admission (day 1) and their performance compared with systemic inflammatory response syndrome (SIRS) and severe sepsis-International Consensus Conference on Pediatric Sepsis(ICCPS)-derived criteria-using the area under the receiver operating characteristic curve. Primary outcome was PICU mortality. Secondary outcomes were: a composite of death and new disability (ie, change from baseline Pediatric Overall Performance Category score ≥1); prolonged PICU length of stay (>5 d); prolonged invasive mechanical ventilation (MV) (>3 d).

RESULTS

Among 60 patients with sepsis, 4 (6.7%) died, 7 (11.7%) developed new disability, 26 (43.3%) experienced prolonged length of stay, and 21 (35%) prolonged invasive MV. The prognostic ability in mortality discrimination was significantly higher for organ dysfunction scores, with PELOD-2 showing the best performance (area under the receiver operating characteristic curve, 0.924; 95% confidence interval, 0.837-1.000), significantly better than SIRS 3 criteria (0.924 vs 0.509, P = 0.009), SIRS 4 criteria (0.924 vs 0.509, P < 0.001), and severe sepsis (0.924 vs 0.527, P < 0.001). Among secondary outcomes, PELOD-2 performed significantly better than SIRS criteria and severe sepsis to predict prolonged duration of invasive MV, whereas better than severe sepsis to predict "poor outcome" (mortality or new disability).

CONCLUSIONS

Day 1 organ dysfunction scores performed better in predicting mortality and morbidity outcomes than ICCPS-derived criteria. The PELOD-2 was the organ dysfunction score with the best performance for all outcomes.

Multiple Organ Dysfunction and Critically Ill Children With Acute Myeloid Leukemia: Single-Center Retrospective Cohort Study

OBJECTIVES

To describe the prevalence of multiple organ dysfunction syndrome (MODS) and critical care utilization in children and young adults with acute myeloid leukemia (AML) who have not undergone hematopoietic cell transplantation (HCT).

DESIGN

Retrospective cohort study of MODS (defined as dysfunction of two or more organ systems) occurring any day within the first 72 hours of PICU admission.

SETTING

Large, quaternary-care children's hospital.

PATIENTS

Patients 1 month through 26 years old who were treated for AML from 2011-2019.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Eighty patients with AML were included. These 80 patients had a total of 409 total non-HCT-related hospital and 71 PICU admissions. The majority 53 of 71 of PICU admissions (75%) were associated with MODS within the first 72 hours. MODS was present in 49 of 71 of PICU admissions (69%) on day 1, 29 of 52 (56%) on day 2, and 25 of 32 (78%) on day 3. The organ systems most often involved were hematologic, respiratory, and cardiovascular. There was an increasing proportion of renal failure (8/71 [11%] on day 1 to 8/32 [25%] on day 3; p = 0.02) and respiratory failure (33/71 [47%] to 24/32 [75%]; p = 0.001) as PICU stay progressed. The presence of MODS on day 1 was associated with a longer PICU length of stay (LOS) (β = 5.4 [95% CI, 0.7-10.2]; p = 0.024) and over a six-fold increased risk of an LOS over 2 days (odds ratio, 6.08 [95% CI, 1.59-23.23]; p = 0.008). Respiratory failure on admission was associated with higher risk of increased LOS.

CONCLUSIONS

AML patients frequently require intensive care. In this cohort, MODS occurred in over half of PICU admissions and was associated with longer PICU LOS. Respiratory failure was associated with the development of MODS and progressive MODS, as well as prolonged LOS.

Effect of Saline vs Gluconate/Acetate-Buffered Solution vs Lactate-Buffered Solution on Serum Chloride Among Children in the Pediatric Intensive Care Unit: The SPLYT-P Randomized Clinical Trial

Importance

Most children admitted to pediatric intensive care units (PICUs) receive intravenous fluids. A recent systematic review suggested mortality benefit in critically ill adults treated with balanced solutions compared with sodium chloride, 0.9% (saline). There is a lack of clinically directive data on optimal fluid choice in critically ill children.

Objective

To determine if balanced solutions decrease the rise of plasma chloride compared with saline, 0.9%, in critically ill children.

Design, Setting, and Participants

This single-center, 3-arm, open-label randomized clinical trial took place in a 36-bed PICU. Children younger than 16 years admitted to the PICU and considered to require intravenous fluid therapy by the treating clinician were eligible. Children were screened from November 2019 to April 2021.

Interventions

Enrolled children were 1:1:1 allocated to gluconate/acetate-buffered solution, lactate-buffered solution, or saline as intravenous fluids.

Main Outcomes and Measures

The primary outcome was an increase in serum chloride of 5 mEq/L or more within 48 hours from randomization. New-onset acute kidney injury, length of hospital and intensive care stay, and intensive care-free survival were secondary outcomes.

Results

A total of 516 patients with a median (IQR) age of 3.8 (1.0-10.4) years were randomized with 178, 171, and 167 allocated to gluconate/acetate-buffered solution, lactate-buffered solution, and saline, respectively. The serum chloride level increased 5 mEq/L or more in 37 patients (25.2%), 34 patients (23.9%), and 58 patients (40.0%) in the gluconate/acetate-buffered solution, lactate-buffered solution, and saline groups. The odds of a rise in plasma chloride 5 mEq/L or more was halved with the use of gluconate/acetate-buffered solution compared with saline (odds ratio, 0.50 [95% CI, 0.31-0.83]; P = .007) and with the use of lactate-buffered solution compared with saline (odds ratio, 0.47 [95% CI, 0.28-0.79]; P = .004). New-onset acute kidney injury was observed in 10 patients (6.1%), 6 patients (3.7%), and 5 patients (3.2%) in the gluconate/acetate-buffered solution, lactate-buffered solution, and saline groups, respectively.

Conclusions and Relevance

Balanced solutions (gluconate/acetate-buffered solution and lactate-buffered solution) administered as intravenous fluid therapy reduced the incidence of rise in plasma chloride compared with saline in children in PICU.

Trial Registration

anzctr.org.au Identifier: ACTRN12619001244190.

Epidemiology and outcomes of multiple organ dysfunction syndrome following pediatric trauma

BACKGROUND

Existing studies have found a low prevalence of multiple organ dysfunction syndrome (MODS) in pediatric trauma patients, typically applying adult criteria to single-center pediatric cohorts. We used pediatric criteria to determine the prevalence, risk factors, and outcomes of MODS among critically injured children in a national pediatric intensive care unit (PICU) database.

METHODS

We conducted a retrospective cohort study of PICU patients 1 month to 17 years with traumatic injury in the Virtual Pediatric Systems, LLC database from 2009 to 2017. We used International Pediatric Sepsis Consensus Conference criteria to identify MODS on Day 1 of PICU admission and estimated the risk of mortality and poor functional outcome (Pediatric Overall/Cerebral Performance Category ≥3 with ≥1 point worsening from baseline) for MODS and for each type of organ dysfunction using generalized linear Poisson regression adjusted for age, comorbidities, injury type and mechanism, and postoperative status.

RESULTS

Multiple organ dysfunction syndrome was present on PICU Day 1 in 23.1% of 37,177 trauma patients (n = 8,592), with highest risk among patients with injuries associated with drowning, asphyxiation, and abuse. Pediatric intensive care unit mortality was 20.1% among patients with MODS versus 0.5% among patients without MODS (adjusted relative risk, 32.3; 95% confidence interval, 24.1-43.4). Mortality ranged from 1.5% for one dysfunctional organ system to 69.1% for four or more organ systems and was highest among patients with hematologic dysfunction (43.3%) or renal dysfunction (29.6%). Death or poor functional outcome occurred in 46.7% of MODS patients versus 8.3% of patients without MODS (adjusted relative risk, 4.3; 95% confidence interval 3.4-5.3).

CONCLUSION

Multiple organ dysfunction syndrome occurs more frequently following pediatric trauma than previously reported and is associated with high risk of morbidity and mortality. Based on existing literature using identical methodology, both the prevalence and mortality associated with MODS are higher among trauma patients than the general PICU population. Consideration of early organ dysfunction in addition to injury severity may aid prognostication following pediatric trauma.

LEVEL OF EVIDENCE

Prognostic and Epidemiological; Level III.

Validation of a Computational Phenotype to Identify Acute Brain Dysfunction in Pediatric Sepsis

OBJECTIVES

To validate a computational phenotype that identifies acute brain dysfunction (ABD) based on clinician concern for neurologic or behavioral changes in pediatric sepsis.

DESIGN

Retrospective observational study.

SETTING

Single academic children's hospital.

PATIENTS

Four thousand two hundred eighty-nine index sepsis episodes.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

An existing computational phenotype of ABD was optimized to include routinely collected variables indicative of clinician concern for acute neurologic or behavioral change (completion of CT or MRI, electroencephalogram, or new antipsychotic administration). First, the computational phenotype was compared with an ABD reference standard established from chart review of 527 random sepsis episodes to determine criterion validity. Next, the computational phenotype was compared with a separate validation cohort of 3,762 index sepsis episodes to determine content and construct validity. Criterion validity for the final phenotype had sensitivity 83% (95% CI, 76-89%), specificity 93% (90-95%), positive predictive value 84% (77-89%), and negative predictive value 93% (90-96%). In the validation cohort, the computational phenotype identified ABD in 35% (95% CI 33-36%). Content validity was demonstrated as those with the ABD computational phenotype were more likely to have characteristics of neurologic dysfunction and severe illness than those without the ABD phenotype, including nonreactive pupils (15% vs 1%; p < 0.001), Glasgow Coma Scale less than 5 (44% vs 12%; p < 0.001), greater than or equal to two nonneurologic organ dysfunctions (50% vs 25%; p < 0.001), and need for intensive care (81% vs 65%; p < 0.001). Construct validity was demonstrated by higher odds for mortality (odds ratio [OR], 6.9; 95% CI, 5.3-9.1) and discharge to rehabilitation (OR, 11.4; 95% CI 7.4-17.5) in patients with, versus without, the ABD computational phenotype.

CONCLUSIONS

A computational phenotype of ABD indicative of clinician concern for new neurologic or behavioral change offers a valid retrospective measure to identify episodes of sepsis that involved ABD. This computational phenotype provides a feasible and efficient way to study risk factors for and outcomes from ABD using routinely collected clinical data.

Outcomes Associated With Timing of Neurologic Dysfunction Onset Relative to Pediatric Sepsis Recognition

OBJECTIVES

To compare outcomes associated with timing-early versus late-of any neurologic dysfunction during pediatric sepsis.

DESIGN

Secondary analysis of a cross-sectional point prevalence study.

SETTING

A total of 128 PICUs in 26 countries.

PATIENTS

Less than 18 years with severe sepsis on 5 separate days (2013-2014).

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Patients were categorized as having either no neurologic dysfunction or neurologic dysfunction (i.e., present at or after sepsis recognition), which was defined as Glasgow Coma Scale score less than 5 and/or fixed dilated pupils. Our primary outcome was death or new moderate disability (i.e., Pediatric Overall [or Cerebral] Performance Category score ≥3 and change ≥1 from baseline) at hospital discharge, and 87 of 567 severe sepsis patients (15%) had neurologic dysfunction within 7 days of sepsis recognition (61 at sepsis recognition and 26 after sepsis recognition). Primary site of infection varied based on presence of neurologic dysfunction. Death or new moderate disability occurred in 161 of 480 (34%) without neurologic dysfunction, 45 of 61 (74%) with neurologic dysfunction at sepsis recognition, and 21 of 26 (81%) with neurologic dysfunction after sepsis recognition (p < 0.001 across all groups). On multivariable analysis, in comparison with those without neurologic dysfunction, neurologic dysfunction whether at sepsis recognition or after was associated with increased odds of death or new moderate disability (adjusted odds ratio, 4.9 [95% CI, 2.3-10.1] and 10.7 [95% CI, 3.8-30.5], respectively). We failed to identify a difference between these adjusted odds ratios of death or new moderate disability that would indicate a differential risk of outcome based on timing of neurologic dysfunction (p = 0.20).

CONCLUSIONS

In this severe sepsis international cohort, the presence of neurologic dysfunction during sepsis is associated with worse outcomes at hospital discharge. The impact of early versus late onset of neurologic dysfunction in sepsis on outcome remains unknown, and further work is needed to better understand timing of neurologic dysfunction onset in pediatric sepsis.

Status 1B designation does not adequately prioritize children with acute-on-chronic liver failure for liver transplantation

Acute-on-chronic liver failure (ACLF) is an acute decompensation of chronic liver disease leading to multiorgan failure and mortality. The objective of this study was to evaluate characteristics and outcomes of children with ACLF who are at the highest priority for liver transplantation (LT) on the United Network for Organ Sharing (UNOS) database-listed as status 1B. The characteristics and outcomes of 478 children with ACLF listed as status 1B on the UNOS LT waiting list from 2007-2019 were compared with children with similar or higher priority listing for transplant: 929 with acute liver failure (ALF) listed as status 1A and 808 with metabolic diseases and malignancies listed as status 1B (termed "non-ACLF"). Children with ACLF had comparable rates of cumulative organ failures compared with ALF (45% vs. 44%; p > 0.99) listings, but higher than non-ACLF (45% vs. 1%; p < 0.001). ACLF had the lowest LT rate (79%, 84%, 95%; p < 0.001), highest pre-LT mortality (20%, 11%, 1%; p < 0.001), and longest waitlist time (57, 3, 56 days; p < 0.001), and none recovered without LT (0%, 4%, 1%; p < 0.001). In survival analyses, ACLF was associated with an increased adjusted hazard ratio (HR) for post-LT mortality (HR, 1.50 vs. ALF [95% confidence interval, CI, 1.02-2.19; p = 0.04] and HR, 1.64 vs. non-ACLF [95% CI, 1.15-2.34; p = 0.01]). ACLF has the least favorable waitlist and post-LT outcomes of all patients who are status 1A/1B. Increased prioritization on the LT waiting list may offer children with ACLF an opportunity for enhanced outcomes.

Early and late acute kidney injury: temporal profile in the critically ill pediatric patient

Background

Increasing AKI diagnosis precision to refine the understanding of associated epidemiology and outcomes is a focus of recent critical care nephrology research. Timing of onset of acute kidney injury (AKI) during pediatric critical illness and impact on outcomes has not been fully explored.

Methods

This was a secondary analysis of the Assessment of Worldwide Acute Kidney Injury, Renal Angina and Epidemiology (AWARE) database. AKI was defined as per Kidney Disease: Improving Global Outcomes criteria. Early AKI was defined as diagnosed at ≤48 h after intensive care unit (ICU) admission, with any diagnosis >48 h denoted as late AKI. Transient AKI was defined as return to baseline serum creatinine ≤48 h of onset, and those without recovery fell into the persistent category. A second incidence of AKI ≥48 h after recovery was denoted as recurrent. Patients were subsequently sorted into distinct phenotypes as early-transient, late-transient, early-persistent, late-persistent and recurrent. Primary outcome was major adverse kidney events (MAKE) at 28 days (MAKE28) or at study exit, with secondary outcomes including AKI-free days, ICU length of stay and inpatient renal replacement therapy.

Results

A total of 1262 patients had AKI and were included. Overall mortality rate was 6.4% (n = 81), with 34.2% (n = 432) fulfilling at least one MAKE28 criteria. The majority of patients fell in the early-transient cohort (n = 704, 55.8%). The early-persistent phenotype had the highest odds of MAKE28 (odds ratio 7.84, 95% confidence interval 5.45–11.3), and the highest mortality rate (18.8%). Oncologic and nephrologic/urologic comorbidities at AKI diagnosis were associated with MAKE28.

Conclusion

Temporal nature and trajectory of AKI during a critical care course are significantly associated with patient outcomes, with several subtypes at higher risk for poorer outcomes. Stratification of pediatric critical care-associated AKI into distinct phenotypes is possible and may become an important prognostic tool.

Drp1/Fis1-Dependent Pathologic Fission and Associated Damaged Extracellular Mitochondria Contribute to Macrophage Dysfunction in Endotoxin Tolerance

OBJECTIVES

Recent publications have shown that mitochondrial dynamics can govern the quality and quantity of extracellular mitochondria subsequently impacting immune phenotypes. This study aims to determine if pathologic mitochondrial fission mediated by Drp1/Fis1 interaction impacts extracellular mitochondrial content and macrophage function in sepsis-induced immunoparalysis.

DESIGN

Laboratory investigation.

SETTING

University laboratory.

SUBJECTS

C57BL/6 and BALB/C mice.

INTERVENTIONS

Using in vitro and murine models of endotoxin tolerance (ET), we evaluated changes in Drp1/Fis1-dependent pathologic fission and simultaneously measured the quantity and quality of extracellular mitochondria. Next, by priming mouse macrophages with isolated healthy mitochondria (MC) and damaged mitochondria, we determined if damaged extracellular mitochondria are capable of inducing tolerance to subsequent endotoxin challenge. Finally, we determined if inhibition of Drp1/Fis1-mediated pathologic fission abrogates release of damaged extracellular mitochondria and improves macrophage response to subsequent endotoxin challenge.

MEASUREMENTS AND MAIN RESULTS

When compared with naïve macrophages (NMs), endotoxin-tolerant macrophages (ETM) demonstrated Drp1/Fis1-dependent mitochondrial dysfunction and higher levels of damaged extracellular mitochondria (Mitotracker-Green + events/50 μL: ETM = 2.42 × 106 ± 4,391 vs NM = 5.69 × 105 ± 2,478; p < 0.001). Exposure of NMs to damaged extracellular mitochondria (MH) induced cross-tolerance to subsequent endotoxin challenge, whereas MC had minimal effect (tumor necrosis factor [TNF]-α [pg/mL]: NM = 668 ± 3, NM + MH = 221 ± 15, and NM + Mc = 881 ± 15; p < 0.0001). Inhibiting Drp1/Fis1-dependent mitochondrial fission using heptapeptide (P110), a selective inhibitor of Drp1/Fis1 interaction, improved extracellular mitochondrial function (extracellular mitochondrial membrane potential, JC-1 [R/G] ETM = 7 ± 0.5 vs ETM + P110 = 19 ± 2.0; p < 0.001) and subsequently improved immune response in ETMs (TNF-α [pg/mL]; ETM = 149 ± 1 vs ETM + P110 = 1,150 ± 4; p < 0.0001). Similarly, P110-treated endotoxin tolerant mice had lower amounts of damaged extracellular mitochondria in plasma (represented by higher extracellular mitochondrial membrane potential, TMRM/MT-G: endotoxin tolerant [ET] = 0.04 ± 0.02 vs ET + P110 = 0.21 ± 0.02; p = 0.03) and improved immune response to subsequent endotoxin treatment as well as cecal ligation and puncture.

CONCLUSIONS

Inhibition of Drp1/Fis1-dependent mitochondrial fragmentation improved macrophage function and immune response in both in vitro and in vivo models of ET. This benefit is mediated, at least in part, by decreasing the release of damaged extracellular mitochondria, which contributes to endotoxin cross-tolerance. Altogether, these data suggest that alterations in mitochondrial dynamics may play an important role in sepsis-induced immunoparalysis.

Factors Associated with Pediatric In-Hospital Recurrent Cardiac Arrest

The objective of this article was to identify demographic and clinical factors associated with early recurrent arrest (RA) (<48 hours) and late RA (≥48 hours) among pediatric inpatients following an initial in-hospital cardiac arrest. A retrospective cohort study of inpatients was performed in a free-standing academic quaternary care children's hospital. All inpatients were <18 years old with a cardiac arrest event requiring ≥1 minute of cardiopulmonary resuscitation with the return of spontaneous circulation sustained for ≥20 minutes at Seattle Children's Hospital from February 1, 2012 to September 18, 2019. Of the 237 included patients, 20 (8%) patients had an early RA and 30 (13%) had a late RA. Older age and severe pre-arrest acidosis were associated with a higher risk of early RA, odds ratios (OR) 1.2 (95% confidence interval [CI] 1.1–1.3) per additional year and 4.6 (95% CI 1.2–18.1), respectively. Pre-arrest organ dysfunction was also associated with a higher risk of early RA with an OR of 3.3 (95% CI 1.1–9.4) for respiratory dysfunction, OR 1.4 (95% CI 1.1–1.9) for each additional dysfunctional organ system, and OR 1.1 (95% CI 1–1.2) for every one-point increase in PELOD2 score. The neonatal illness category was associated with a lower risk of late RA, OR 0.3 (95% CI 0.1–0.97), and severe post-arrest acidosis was associated with a higher risk of late RA, OR 4.2 (95% CI 1.1–15). Several demographic and clinical factors offer some ability to identify children who sustain a recurrent cardiac arrest, offering a potential opportunity for intervention to prevent early recurrent arrest.

Scoring Systems for Organ Dysfunction and Multiple Organ Dysfunction: The PODIUM Consensus Conference

CONTEXT

Multiple scores exist to characterize organ dysfunction in children.

OBJECTIVE

To review the literature on multiple organ dysfunction (MOD) scoring systems to estimate severity of illness and to characterize the performance characteristics of currently used scoring tools and clinical assessments for organ dysfunction in critically ill children.

DATA SOURCES

Electronic searches of PubMed and Embase were conducted from January 1992 to January 2020.

STUDY SELECTION

Studies were included if they evaluated critically ill children with MOD, evaluated the performance characteristics of scoring tools for MOD, and assessed outcomes related to mortality, functional status, organ-specific outcomes, or other patient-centered outcomes.

DATA EXTRACTION

Data were abstracted into a standard data extraction form by a task force member.

RESULTS

Of 1152 unique abstracts screened, 156 full text studies were assessed including a total of 54 eligible studies. The most commonly reported scores were the Pediatric Logistic Organ Dysfunction Score (PELOD), pediatric Sequential Organ Failure Assessment score (pSOFA), Pediatric Index of Mortality (PIM), PRISM, and counts of organ dysfunction using the International Pediatric Sepsis Definition Consensus Conference. Cut-offs for specific organ dysfunction criteria, diagnostic elements included, and use of counts versus weighting varied substantially.

LIMITATIONS

While scores demonstrated an increase in mortality associated with the severity and number of organ dysfunctions, the performance ranged widely.

CONCLUSIONS

The multitude of scores on organ dysfunction to assess severity of illness indicates a need for unified and data-driven organ dysfunction criteria, derived and validated in large, heterogenous international databases of critically ill children.

Hematologic Dysfunction Criteria in Critically Ill Children: The PODIUM Consensus Conference

CONTEXT

Studies of organ dysfunction in children are limited by a lack of consensus around organ dysfunction criteria.

OBJECTIVES

To derive evidence-informed, consensus-based criteria for hematologic dysfunction in critically ill children.

DATA SOURCES

Data sources included PubMed and Embase from January 1992 to January 2020.

STUDY SELECTION

Studies were included if they evaluated assessment/scoring tools to screen for hematologic dysfunction and assessed outcomes of mortality, functional status, organ-specific outcomes, or other patient-centered outcomes. Studies of adults or premature infants, animal studies, reviews/commentaries, small case series, and non-English language studies with inability to determine eligibility were excluded.

DATA EXTRACTION

Data were abstracted from each eligible study into a standard data extraction form along with risk of bias assessment.

RESULTS

Twenty-nine studies were included. The systematic review supports the following criteria for hematologic dysfunction: thrombocytopenia (platelet count <100000 cells/µL in patients without hematologic or oncologic diagnosis, platelet count <30000 cells/µL in patients with hematologic or oncologic diagnoses, or platelet count decreased ≥50% from baseline; or leukocyte count <3000 cells/µL; or hemoglobin concentration between 5 and 7 g/dL (nonsevere) or <5 g/dL (severe).

LIMITATIONS

Most studies evaluated pre-specified thresholds of cytopenias. No studies addressed associations between the etiology or progression of cytopenias overtime with outcomes, and no studies evaluated cellular function.

CONCLUSIONS

Hematologic dysfunction, as defined by cytopenia, is a risk factor for poor outcome in critically ill children, although specific threshold values associated with increased mortality are poorly defined by the current literature.

Outcomes Associated With Early RBC Transfusion in Pediatric Severe Sepsis: A Propensity-Adjusted Multicenter Cohort Study

BACKGROUND

Little is known about the epidemiology of and outcomes related to red blood cell (RBC) transfusion in septic children across multiple centers. We performed propensity-adjusted secondary analyses of the Biomarker Phenotyping of Pediatric Sepsis and Multiple Organ Failure (PHENOMS) study to test the hypothesis that early RBC transfusion is associated with fewer organ failure-free days in pediatric severe sepsis.

METHODS

Four hundred one children were enrolled in the parent study. Children were excluded from these analyses if they received extracorporeal membrane oxygenation (n = 22) or died (n = 1) before sepsis day 2. Propensity-adjusted analyses compared children who received RBC transfusion on or before sepsis day 2 (early RBC transfusion) with those who did not. Logistic regression was used to model the propensity to receive early RBC transfusion. A weighted cohort was constructed using stabilized inverse probability of treatment weights. Variables in the weighted cohort with absolute standardized differences >0.15 were added to final multivariable models.

RESULTS

Fifty percent of children received at least one RBC transfusion. The majority (68%) of first transfusions were on or before sepsis day 2. Early RBC transfusion was not independently associated with organ failure-free (-0.34 [95%CI: -2, 1.3] days) or PICU-free days (-0.63 [-2.3, 1.1]), but was associated with the secondary outcome of higher mortality (aOR 2.9 [1.1, 7.9]).

CONCLUSIONS

RBC transfusion is common in pediatric severe sepsis and may be associated with adverse outcomes. Future studies are needed to clarify these associations, to understand patient-specific transfusion risks, and to develop more precise transfusion strategies.

Refining the Pediatric Multiple Organ Dysfunction Syndrome

Since its introduction into the medical literature in the 1970s, the term multiple organ dysfunction syndrome (or some variant) has been applied broadly to any patient with >1 concurrent organ dysfunction. However, the epidemiology, mechanisms, time course, and outcomes among children with multiple organ dysfunction vary substantially. We posit that the term pediatric multiple organ dysfunction syndrome (or MODS) should be reserved for patients with a systemic pathologic state resulting from a common mechanism (or mechanisms) that affects numerous organ systems simultaneously. In contrast, children in whom organ injuries are attributable to distinct mechanisms should be considered to have additive organ system dysfunctions but not the syndrome of MODS. Although such differentiation may not always be possible with current scientific knowledge, we make the case for how attempts to differentiate multiple organ dysfunction from other states of additive organ dysfunctions can help to evolve clinical and research priorities in diagnosis, monitoring, and therapy from largely organ-specific to more holistic strategies.

Pediatric Organ Dysfunction Information Update Mandate (PODIUM) Contemporary Organ Dysfunction Criteria: Executive Summary

Prior criteria for organ dysfunction in critically ill children were based mainly on expert opinion. We convened the Pediatric Organ Dysfunction Information Update Mandate (PODIUM) expert panel to summarize data characterizing single and multiple organ dysfunction and to derive contemporary criteria for pediatric organ dysfunction. The panel was composed of 88 members representing 47 institutions and 7 countries. We conducted systematic reviews of the literature to derive evidence-based criteria for single organ dysfunction for neurologic, cardiovascular, respiratory, gastrointestinal, acute liver, renal, hematologic, coagulation, endocrine, endothelial, and immune system dysfunction. We searched PubMed and Embase from January 1992 to January 2020. Study identification was accomplished using a combination of medical subject headings terms and keywords related to concepts of pediatric organ dysfunction. Electronic searches were performed by medical librarians. Studies were eligible for inclusion if the authors reported original data collected in critically ill children; evaluated performance characteristics of scoring tools or clinical assessments for organ dysfunction; and assessed a patient-centered, clinically meaningful outcome. Data were abstracted from each included study into an electronic data extraction form. Risk of bias was assessed using the Quality in Prognosis Studies tool. Consensus was achieved for a final set of 43 criteria for pediatric organ dysfunction through iterative voting and discussion. Although the PODIUM criteria for organ dysfunction were limited by available evidence and will require validation, they provide a contemporary foundation for researchers to identify and study single and multiple organ dysfunction in critically ill children.

Multiple Organ Dysfunction Interactions in Critically Ill Children

INTRODUCTION

Multiple organ dysfunction (MOD) is a common pathway to morbidity and death in critically ill children. Defining organ dysfunction is challenging, as we lack a complete understanding of the complex pathobiology. Current pediatric organ dysfunction criteria assign the same diagnostic value-the same "weight"- to each organ system. While each organ dysfunction in isolation contributes to the outcome, there are likely complex interactions between multiple failing organs that are not simply additive.

OBJECTIVE

Determine whether certain combinations of organ system dysfunctions have a significant interaction associated with higher risk of morbidity or mortality in critically ill children.

METHODS

We conducted a retrospective observational cohort study of critically ill children at two large academic medical centers from 2010 and 2018. Patients were included in the study if they had at least two organ dysfunctions by day 3 of PICU admission based on the Pediatric Organ Dysfunction Information Update Mandate (PODIUM) criteria. Mortality was described as absolute number of deaths and mortality rate. Combinations of two pediatric organ dysfunctions were analyzed with interaction terms as independent variables and mortality or persistent MOD as the dependent variable in logistic regression models.

RESULTS

Overall, 7,897 patients met inclusion criteria and 446 patients (5.6%) died. The organ dysfunction interactions that were significantly associated with the highest absolute number of deaths were cardiovascular + endocrinologic, cardiovascular + neurologic, and cardiovascular + respiratory. Additionally, the interactions associated with the highest mortality rates were liver + cardiovascular, respiratory + hematologic, and respiratory + renal. Among patients with persistent MOD, the most common organ dysfunctions with significant interaction terms were neurologic + respiratory, hematologic + immunologic, and endocrinologic + respiratory. Further analysis using classification and regression trees (CART) demonstrated that the absence of respiratory and liver dysfunction was associated with the lowest likelihood of mortality.

IMPLICATIONS AND FUTURE DIRECTIONS

Certain combinations of organ dysfunctions are associated with a higher risk of persistent MOD or death. Notably, the three most common organ dysfunction interactions were associated with 75% of the mortality in our cohort. Critically ill children with MOD presenting with these combinations of organ dysfunctions warrant further study.

Patterns of Organ Dysfunction in Critically Ill Children Based on PODIUM Criteria

OBJECTIVES

The goal of this study was to determine the incidence, prognostic performance, and generalizability of the Pediatric Organ Dysfunction Information Update Mandate (PODIUM) organ dysfunction criteria using electronic health record (EHR) data. Additionally, we sought to compare the performance of the PODIUM criteria with the organ dysfunction criteria proposed by the 2005 International Pediatric Sepsis Consensus Conference (IPSCC).

METHODS

Retrospective observational cohort study of critically ill children at 2 medical centers in the United States between 2010 and 2018. We assessed prevalence of organ dysfunction based on the PODIUM and IPSCC criteria for each 24-hour period from admission to 28 days. We studied the prognostic performance of the criteria to discriminate in-hospital mortality.

RESULTS

Overall, 22 427 PICU admissions met inclusion criteria, and in-hospital mortality was 2.3%. The cumulative incidence of each PODIUM organ dysfunction ranged from 15% to 30%, with an in-hospital mortality of 6% to 10% for most organ systems. The number of concurrent PODIUM organ dysfunctions demonstrated good-to-excellent discrimination for in-hospital mortality (area under the curve 0.87-0.93 for day 1 through 28) and compared favorably to the IPSCC criteria (area under the curve 0.84-0.92, P < .001 to P = .06).

CONCLUSIONS

We present the first evaluation of the PODIUM organ dysfunction criteria in 2 EHR databases. The use of the PODIUM organ dysfunction criteria appears promising for epidemiologic and clinical research studies using EHR data. More studies are needed to evaluate the PODIUM criteria that are not routinely collected in structured format in EHR databases.

Early Prediction of Multiple Organ Dysfunction in the Pediatric Intensive Care Unit

Objective: The objective of the study is to build models for early prediction of risk for developing multiple organ dysfunction (MOD) in pediatric intensive care unit (PICU) patients. Design: The design of the study is a retrospective observational cohort study. Setting: The setting of the study is at a single academic PICU at the Johns Hopkins Hospital, Baltimore, MD. Patients: The patients included in the study were <18 years of age admitted to the PICU between July 2014 and October 2015. Measurements and main results: Organ dysfunction labels were generated every minute from preceding 24-h time windows using the International Pediatric Sepsis Consensus Conference (IPSCC) and Proulx et al. MOD criteria. Early MOD prediction models were built using four machine learning methods: random forest, XGBoost, GLMBoost, and Lasso-GLM. An optimal threshold learned from training data was used to detect high-risk alert events (HRAs). The early prediction models from all methods achieved an area under the receiver operating characteristics curve ≥0.91 for both IPSCC and Proulx criteria. The best performance in terms of maximum F1-score was achieved with random forest (sensitivity: 0.72, positive predictive value: 0.70, F1-score: 0.71) and XGBoost (sensitivity: 0.8, positive predictive value: 0.81, F1-score: 0.81) for IPSCC and Proulx criteria, respectively. The median early warning time was 22.7 h for random forest and 37 h for XGBoost models for IPSCC and Proulx criteria, respectively. Applying spectral clustering on risk-score trajectories over 24 h following early warning provided a high-risk group with ≥0.93 positive predictive value. Conclusions: Early predictions from risk-based patient monitoring could provide more than 22 h of lead time for MOD onset, with ≥0.93 positive predictive value for a high-risk group identified pre-MOD.

Hexosylceramides and Glycerophosphatidylcholine GPC(36:1) Increase in Multi-Organ Dysfunction Syndrome Patients with Pediatric Intensive Care Unit Admission over 8-Day Hospitalization

Glycero- and sphingo-lipids are important in plasma membrane structure, caloric storage and signaling. An un-targeted lipidomics approach for a cohort of critically ill pediatric intensive care unit (PICU) patients undergoing multi-organ dysfunction syndrome (MODS) was compared to sedation controls. After IRB approval, patients meeting the criteria for MODS were screened, consented (n = 24), and blood samples were collected from the PICU at HDVCH, Michigan; eight patients needed veno-arterial extracorporeal membrane oxygenation (VA ECMO). Sedation controls were presenting for routine sedation (n = 4). Plasma lipid profiles were determined by nano-electrospray (nESI) direct infusion high resolution/accurate mass spectrometry (MS) and tandem mass spectrometry (MS/MS). Biostatistics analysis was performed using R v 3.6.0. Sixty-one patient samples over three time points revealed a ceramide metabolite, hexosylceramide (Hex-Cer) was high across all time points (mean 1.63-3.19%; vs. controls 0.22%). Fourteen species statistically differentiated from sedation controls (p-value ≤ 0.05); sphingomyelin (SM) [SM(d18:1/23:0), SM(d18:1/22:0), SM(d18:1/23:1), SM(d18:1/21:0), SM(d18:1/24:0)]; and glycerophosphotidylcholine (GPC) [GPC(36:01), GPC(18:00), GPC(O:34:02), GPC(18:02), GPC(38:05), GPC(O:34:03), GPC(16:00), GPC(40:05), GPC(O:36:03)]. Hex-Cer has been shown to be involved in viral infection and may be at play during acute illness. GPC(36:01) was elevated in all MODS patients at all time points and is associated with inflammation and brain injury.

Pediatric Multi-Organ Dysfunction Syndrome: Analysis by an Untargeted "Shotgun" Lipidomic Approach Reveals Low-Abundance Plasma Phospholipids and Dynamic Recovery over 8-Day Period, a Single-Center Observational Study

Lipids are molecules involved in metabolism and inflammation. This study investigates the plasma lipidome for markers of severity and nutritional status in critically ill children. Children with multi-organ dysfunction syndrome (MODS) (n = 24) are analyzed at three time-points and cross-referenced to sedation controls (n = 4) for a total of N = 28. Eight of the patients with MODS, needed veno-arterial extracorporeal membrane oxygenation (VA ECMO) support to survive. Blood plasma lipid profiles are quantified by nano-electrospray (nESI), direct infusion high resolution/accurate mass spectrometry (MS), and tandem mass spectrometry (MS/MS), and compared to nutritional profiles and pediatric logistic organ dysfunction (PELOD) scores. Our results show that PELOD scores were not significantly different between MODS and ECMO cases across time-points (p = 0.66). Lipid profiling provides stratification between sedation controls and all MODS patients for total lysophosphatidylserine (lysoPS) (p-value = 0.004), total phosphatidylserine (PS) (p-value = 0.015), and total ether-linked phosphatidylethanolamine (ether-PE) (p-value = 0.03) after adjusting for sex and age. Nutrition intake over time did not correlate with changes in lipid profiles, as measured by caloric and protein intake. Lipid measurement in the intensive care environment shows dynamic changes over an 8-day pediatric intensive care unit (PICU) course, suggesting novel metabolic indicators for defining critically ill children.

The Feasibility of Studying Metabolites in PICU Multi-Organ Dysfunction Syndrome Patients over an 8-Day Course Using an Untargeted Approach

Metabolites are generated from critical biological functions and metabolism. This pediatric study reviewed plasma metabolites in patients suffering from multi-organ dysfunction syndrome (MODS) in the pediatric intensive care unit (PICU) using an untargeted metabolomics approach. Patients meeting the criteria for MODS were screened for eligibility and consented (n = 24), and blood samples were collected at baseline, 72 h, and 8 days; control patients (n = 4) presented for routine sedation in an outpatient setting. A subset of MODS patients (n = 8) required additional support with veno-atrial extracorporeal membrane oxygenation (VA-ECMO) therapy. Metabolites from thawed blood plasma were determined from ion pairing reversed-phase liquid chromatography–mass spectrometry (LC-MS) analysis. Chromatographic peak alignment, identification, relative quantitation, and statistical and bioinformatics evaluation were performed using MAVEN and MetaboAnalyst 4.0. Metabolite analysis revealed 115 peaks per sample. From the partial least squares-discriminant analysis (PLS-DA) with variance of importance (VIP) scores above ≥2.0, 7 dynamic metabolites emerged over the three time points: tauro-chenodeoxycholic acid (TCDCA), hexose, p-hydroxybenzoate, hydroxyphenylacetic acid (HPLA), 2_3-dihydroxybenzoic acid, 2-keto-isovalerate, and deoxyribose phosphate. After Bonferroni adjustment for repeated measures, hexose and p-hydroxybenzoate were significant at one time point or more. Kendall’s tau-b test was used for internal validation of creatinine. Metabolites may be benign or significant in describing a patient’s pathophysiology and require operator interpretation.

Three Data-Driven Phenotypes of Multiple Organ Dysfunction Syndrome Preserved from Early Childhood to Middle Adulthood

Multiple organ dysfunction syndrome (MODS) is one of the major causes of death and long-term impairment in critically ill patients. MODS is a complex, heterogeneous syndrome consisting of different phenotypes, which has limited the development of MODS-specific therapies and prognostic models. We used an unsupervised learning approach to derive novel phenotypes of MODS based on the type and severity of six individual organ dysfunctions. In a large, multi-center cohort of pediatric, young and middle-aged adults admitted to three different intensive care units, we uncovered and characterized three distinct data-driven phenotypes of MODS which were reproducible across age groups, where independently associated with outcomes and had unique predictors of in-hospital mortality.

Clinician Accuracy in Identifying and Predicting Organ Dysfunction in Critically Ill Children

OBJECTIVES

To determine clinician accuracy in the identification and prediction of multiple organ dysfunction syndrome.

DESIGN

Prospective cohort study.

SETTING

University of Michigan's C.S. Mott Children's Hospital PICU.

PATIENTS

Patients admitted to the PICU with an anticipated PICU length of stay greater than 48 hours.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

For each patient, the clinical team (attending, fellow, resident/nurse practitioner) was surveyed regarding existing and anticipated organ dysfunction. The primary outcomes were clinicians' accuracy at identifying multiple organ dysfunction syndrome and predicting new or progressive multiple organ dysfunction syndrome, compared to the objective assessment of multiple organ dysfunction syndrome using Proulx criteria. We also measured sensitivity, specificity, negative and positive predictive values, and negative and positive likelihood ratios of clinician assessments. We tested for differences in accuracy by clinician type using chi-square tests. Clinicians rated their confidence in prediction on a 5-point Likert scale. There were 476 eligible PICU admissions, for whom 1,218 surveys were completed. Multiple organ dysfunction syndrome was present in 89 patients (18.7%) at enrollment, and new or progressive multiple organ dysfunction syndrome occurred in 39 (8.2%). Clinicians correctly identified multiple organ dysfunction syndrome with 79.9% accuracy and predicted additional organ dysfunction with 82.6% accuracy. However, the positive and negative likelihood ratios for new or progressive multiple organ dysfunction syndrome prediction were 3.0 and 0.7, respectively, indicating a weak relationship between the clinician prediction and development of new or progressive multiple organ dysfunction syndrome. The positive predictive value of new or progressive multiple organ dysfunction syndrome prediction was just 22.1%. We found no differences in accuracy by clinician type for either identification of multiple organ dysfunction syndrome (80.2% vs 78.2% vs 81.0%; p = 0.57) or prediction of new or progressive multiple organ dysfunction syndrome (84.8% vs 82.8% vs 80.3%; p = 0.26) for attendings, fellows, and residents/nurse practitioners, respectively. There was a weak correlation between the confidence and accuracy of prediction (pairwise correlation coefficient, 0.26; p < 0.001).

CONCLUSIONS

PICU clinicians correctly identified multiple organ dysfunction syndrome and predicted new or progressive multiple organ dysfunction syndrome with 80% accuracy. However, only 8% of patients developed new or progressive multiple organ dysfunction syndrome, so accuracy was largely due to true negative predictions. The positive predictive value for new or progressive multiple organ dysfunction syndrome prediction was just 22%. Accuracy did not differ by clinician type, but was correlated with self-rated confidence and was higher for negative predictions.

Does Non-Neurologic Multiorgan Dysfunction After Out-of-Hospital Cardiac Arrest among Children Admitted in Coma Predict Outcome 1 Year Later?

In this article, we investigated whether non-neurologic multiorgan dysfunction syndrome (MODS) following out-of-hospital cardiac arrest (OHCA) predicts poor 12-month survival. We conducted a secondary data analysis of therapeutic hypothermia after pediatric cardiac arrest out-of-hospital randomized trial involving children who remained unconscious and intubated after OHCA ( n  = 237). Associations between MODS and 12-month outcomes were assessed using multivariable logistic regression. Non-neurologic MODS was present in 95% of patients and sensitive (97%; 95% confidence interval [CI]: 93-99%) for 12-month survival but had poor specificity (10%; 95% CI: 4-21%). Development of non-neurologic MODS is not helpful to predict long-term neurologic outcome or survival after OHCA.

Hydrocortisone treatment is associated with a longer duration of MODS in pediatric patients with severe sepsis and immunoparalysis

Background

Severe critical illness-induced immune suppression, termed immunoparalysis, is associated with longer duration of organ dysfunction in septic children. mRNA studies have suggested differential benefit of hydrocortisone in septic children based on their immune phenotype, but this has not been shown using a functional readout of the immune response. This study represents a secondary analysis of a prospectively conducted immunophenotyping study of pediatric severe sepsis to test the hypothesis that hydrocortisone will be differentially associated with clinical outcomes in children with or without immunoparalysis.

Methods

Children with severe sepsis/septic shock underwent blood sampling within 48 h of sepsis onset. Immune function was measured by quantifying whole blood ex vivo LPS-induced TNFα production capacity, with a TNFα response < 200 pg/ml being diagnostic of immunoparalysis. The primary outcome measure was number of days in 14 with MODS. Univariate and multivariable negative binomial regression models were used to examine associations between hydrocortisone use, immune function, and duration of MODS.

Results

One hundred two children were enrolled (age 75 [6–160] months, 60% male). Thirty-one subjects received hydrocortisone and were more likely to be older (106 [52–184] vs 38 [3–153] months, p = 0.04), to have baseline immunocompromise (32 vs 8%, p = 0.006), to have higher PRISM III (13 [8–18] vs 7 [5–13], p = 0.0003) and vasoactive inotrope scores (20 [10–35] vs 10 [3–15], p = 0.0002) scores, and to have more MODS days (3 [1–9] vs 1 [0–3], p = 0.002). Thirty-three subjects had immunoparalysis (TNFα response 78 [52–141] vs 641 [418–1047] pg/ml, p < 0.0001). Hydrocortisone use was associated with longer duration of MODS in children with immunoparalysis after adjusting for covariables (aRR 3.7 [1.8–7.9], p = 0.0006) whereas no association with MODS duration was seen in children without immunoparalysis (aRR 1.2 [0.6–2.3], p = 0.67).

Conclusion

Hydrocortisone use was independently associated with longer duration of MODS in septic children with immunoparalysis but not in those with more robust immune function. Prospective clinical trials using a priori immunophenotyping are needed to understand optimal hydrocortisone strategies in this population.