The Use and Duration of Preintubation Respiratory Support Is Associated With Increased Mortality in Immunocompromised Children With Acute Respiratory Failure

First-Line Respiratory Support for Children With Hematologic Malignancy and Acute Respiratory Failure

OBJECTIVES

To characterize trends in noninvasive ventilation (NIV) and invasive mechanical ventilation (IMV) use over time in children with hematologic malignancy admitted to the PICU with acute respiratory failure (ARF), and to identify risk factors associated with NIV failure requiring transition to IMV.

DESIGN

Retrospective cohort analysis using the Virtual Pediatric Systems (VPS, LLC) between January 1, 2010 and December 31, 2019.

SETTING

One hundred thirteen North American PICUs participating in VPS.

PATIENTS

Two thousand four hundred eighty children 0-21 years old with hematologic malignancy admitted to participating PICUs for ARF requiring respiratory support.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

There were 3013 total encounters, of which 868 (28.8%) received first-line NIV alone (NIV only), 1544 (51.2%) received first-line IMV (IMV only), and 601 (19.9%) required IMV after a failed NIV trial (NIV failure). From 2010 to 2019, the NIV only group increased from 9.6% to 43.1% and the IMV only group decreased from 80.1% to 34.2% (p < 0.001). The NIV failure group had the highest mortality compared with NIV only and IMV only (36.6% vs. 8.1%, vs. 30.5%, p < 0.001). However, risk-of-mortality (ROM) was highest in the IMV only group compared with NIV only and NIV failure (median Pediatric Risk of Mortality III ROM 8.1% vs. 2.8% vs. 5.5%, p < 0.001). NIV failure patients also had the longest median PICU length of stay compared with the other two study groups (15.2 d vs. 6.1 and 9.0 d, p < 0.001). Higher age was associated with significantly decreased odds of NIV failure, and diagnosis of non-Hodgkin lymphoma was associated with significantly increased odds of NIV failure compared with acute lymphoid leukemia.

CONCLUSIONS

For children with hematologic malignancy admitted to the PICU with ARF, NIV has replaced IMV as the most common initial therapy. NIV failure rate remains high with high-observed mortality despite lower PICU admission ROM.

Immunocompromised-Associated Pediatric Acute Respiratory Distress Syndrome: Experience From the 2016/2017 Pediatric Acute Respiratory Distress Syndrome Incidence and Epidemiology Prospective Cohort Study

OBJECTIVES

To characterize immunocompromised-associated pediatric acute respiratory distress syndrome (I-PARDS) and contrast it to PARDS.

DESIGN

This is a secondary analysis of the 2016-2017 PARDS incidence and epidemiology (PARDIE) study, a prospective observational, cross-sectional study of children with PARDS.

SETTING

Dataset of 145 PICUs across 27 countries.

PATIENTS

During 10 nonconsecutive weeks (from May 2016 to June 2017), data about immunocompromising conditions (ICCs, defined as malignancy, congenital/acquired immunodeficiency, posttransplantation, or diseases requiring immunosuppression) were collected.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Of 708 subjects, 105 (14.8%) had ICC. Before the development of I-PARDS, those with ICC were more likely to be hospitalized (70% vs. 35%, p < 0.001), have more at-risk for PARDS ( p = 0.046), and spent more hours at-risk (20 [interquartile range, IQR: 8-46] vs. 11 [IQR: 4-33], [ p = 0.002]). Noninvasive ventilation (NIV) use was more common in those with ICC ( p < 0.001). Of those diagnosed with PARDS on NIV ( n = 161), children with ICC were more likely to be subsequently intubated ( n = 28/40 [70%] vs n = 53/121 [44%], p = 0.004). Severe PARDS was more common (32% vs 23%, p < 0.001) in I-PARDS. Oxygenation indices were higher at diagnosis and had less improvement over the first 3 days of PARDS ( p < 0.001). Children with I-PARDS had greater nonpulmonary organ dysfunction. Adjusting for Pediatric Risk of Mortality IV and oxygenation index, children with I-PARDS had a higher severity of illness-adjusted PICU mortality (adjusted hazard ratio: 3.0 [95% CI, 1.9-4.7] p < 0.001) and were less likely to be extubated alive within 28 days (subdistribution hazard ratio: 0.47 [95% CI, 0.31-0.71] p < 0.001).

CONCLUSIONS

I-PARDS is a unique subtype of PARDS associated with hospitalization before diagnosis and increased: time at-risk for PARDS, NIV use, hypoxia, nonpulmonary organ dysfunction, and mortality. The opportunity for early detection and intervention seems to exist. Dedicated study in these patients is imperative to determine if targeted interventions will benefit these unique patients with the ultimate goal of improving outcomes.

Pediatric intensive care unit admissions network-rationale, framework and method of operation of a nationwide collaborative pediatric intensive care research network in Germany

The Pediatric Intensive Care Unit Admissions (PIA) network aims to establish a nationwide database in Germany to gather epidemiological, clinical, and outcome data on pediatric critical illness. The heterogeneity of pediatric patients in intensive care units (PICU) poses challenges in obtaining sufficient case numbers for reliable research. Multicentered approaches, such as patient registries, have proven effective in collecting large-scale data. However, Germany lacks a systematic registration system for pediatric intensive care admissions, hindering epidemiological and outcome assessments. The PIA network intends to address these gaps and provide a framework for clinical and epidemiological research in pediatric intensive care. The network will interconnect PICUs across Germany and collect structured data on diagnoses, treatment, clinical course, and short-term outcomes. It aims to identify areas for improvement in care, enable disease surveillance, and potentially serve as a quality control tool. The PIA network builds upon the existing infrastructure of the German Pediatric Surveillance Unit ESPED and utilizes digitalized data collection techniques. Participating units will complete surveys on their organizational structure and equipment. The study population includes patients aged ≥28 days admitted to participating PICUs, with a more detailed survey for cases meeting specific criteria. Data will be collected by local PIA investigators, anonymized, and entered into a central database. The data protection protocol complies with regulations and ensures patient privacy. Quarterly data checks and customized quality reports will be conducted to monitor data completeness and plausibility. The network will evaluate its performance, data collection feasibility, and data quality. Eligible investigators can submit proposals for data analyses, which will be reviewed and analyzed by trained statisticians or epidemiologists. The PIA network aims to improve pediatric intensive care medicine in Germany by providing a comprehensive understanding of critical illness, benchmarking treatment quality, and enabling disease surveillance.

Critical Care Utilization in Children With Cancer: U.S. Pediatric Health Information System Database Cohort 2012-2021

OBJECTIVES

To determine changes in pediatric oncology hospitalizations requiring intensive care over the period 2012-2021.

DESIGN

Retrospective study of hospital admission.

SETTING

Registry data from 36 children's hospitals in the U.S. Pediatric Health Information Systems database.

PATIENTS

Children 18 years or younger admitted to any of 36 hospitals with an oncology diagnosis.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

There were a total of 55,827 unique patients accounted for 281,221 pediatric oncology hospitalizations over the 10-year period, and 16.6% of hospitalizations included admission to the PICU. Hospitalizations and PICU admissions steadily increased over this decade. Between 2012 and 2016, 15.1% of oncology hospitalizations were admitted to the PICU compared with 18.0% from 2017 to 2021 (difference 2.9% [95% CI, 2.6-3.2%] p ≤ 0.0001). Support with invasive mechanical ventilation also increased over time with 3.7% during 2012-2016 compared with 4.1% from 2017 to 2021 (difference 0.4% [95% CI, 0.2-0.5%] p ≤ 0.0001). Similar results were seen with cardiorespiratory life support using extracorporeal membrane oxygenation (difference 0.05% [95% CI, 0.02-0.07%] p = 0.0002), multiple vasoactive agent use (difference 0.3% [95% CI, 0.2-0.4%] p < 0.0001), central line placement (difference 5.3% [95% CI, 5.1-5.6%], p < 0.001), and arterial line placement (difference 0.4% [95% CI, 0.3-0.4%], p < 0.001). Year-on-year case fatality rate was unchanged over time (1.3%), but admission to the PICU during the second 5 years, compared with the first 5 years, was associated with lower odds of mortality (difference 0.7% [95% CI, 0.3-1.1%]) (odds ratio 0.82 [95% CI, 0.75-0.90%] p < 0.001).

CONCLUSIONS

The percentage of pediatric oncology hospitalizations resulting in PICU admission has increased over the past 10 years. Despite the increasing use of PICU admission and markers of acuity, and on comparing 2017-2021 with 2012-2016, there are lower odds of mortality.

Efficay of high-flow nasal cannula in the paediatric population: A systematic evidence map

PROBLEM

High-flow nasal cannula (HFNC) has been widely used in paediatric medicine as a non-invasive ventilation mode for respiratory support. However, the differences in its efficacy across different diseases and intervention types remain poorly understood.

ELIGIBILITY CRITERIA

An extensive literature search was performed across multiple academic databases to investigate the systematic reviews and meta-analyses of HFNC.

SAMPLE

This study included 35 systematic reviews and meta-analyses, which collectively examined 355 randomised controlled trials and assessed 51 outcome indicators.

RESULTS

The findings suggest that the existing clinical research evidence predominantly supports the therapeutic efficacy of HFNC. Notably, there is a significant focus on treating acute lower respiratory infection, hypoxaemia, bronchiolitis, and respiratory distress syndrome following extubation. However, concerning the respiratory status, the existing clinical research evidence mainly demonstrates the therapeutic benefits in post-extubation respiratory support and primary respiratory support.

CONCLUSIONS

The research on HFNC has witnessed significant expansion, primarily focusing on respiratory disorders, post-extubation respiratory support, conscious sedation, and related fields. The evidence mapping provides a systematic and comprehensive overview of the available evidence on HFNC therapy in paediatric patients.

IMPLICATIONS

This study systematically and comprehensively assessed the clinical subjects and populations involved in HFNC therapy. Notably, this study analyzed the trends, current status, and evidence gaps of research, and furnished decision-makers and relevant researchers with a more comprehensive reference basis.

Mortality Risk Factors in Pediatric Onco-Critical Care Patients and Machine Learning Derived Early Onco-Critical Care Phenotypes in a Retrospective Cohort

OBJECTIVES

To use supervised and unsupervised statistical methodology to determine risk factors associated with mortality in critically ill pediatric oncology patients to identify patient phenotypes of interest for future prospective study.

DESIGN

This retrospective cohort study included nonsurgical pediatric critical care admissions from January 2017 to December 2018. We determined the prevalence of multiple organ failure (MOF), ICU mortality, and associated factors. Consensus k-means clustering analysis was performed using 35 bedside admission variables for early, onco-critical care phenotype development.

SETTING

Single critical care unit in a subspeciality pediatric hospital.

INTERVENTION

None.

PATIENTS

There were 364 critical care admissions in 324 patients with underlying malignancy, hematopoietic cell transplant, or immunodeficiency reviewed.

MEASUREMENTS

Prevalence of multiple organ failure, ICU mortality, determination of early onco-critical care phenotypes.

MAIN RESULTS

ICU mortality was 5.2% and was increased in those with MOF (18.4% MOF, 1.7% single organ failure [SOF], 0.6% no organ failure; p ≤ 0.0001). Prevalence of MOF was 23.9%. Significantly increased ICU mortality risk was associated with day 1 MOF (hazards ratio [HR] 2.27; 95% CI, 1.10-6.82; p = 0.03), MOF during ICU admission (HR 4.16; 95% CI, 1.09-15.86; p = 0.037), and with invasive mechanical ventilation requirement (IMV; HR 5.12; 95% CI, 1.31-19.94; p = 0.018). Four phenotypes were derived (PedOnc1-4). PedOnc1 and 2 represented patient groups with low mortality and SOF. PedOnc3 was enriched in patients with sepsis and MOF with mortality associated with liver and renal dysfunction. PedOnc4 had the highest frequency of ICU mortality and MOF characterized by acute respiratory failure requiring invasive mechanical ventilation at admission with neurologic dysfunction and/or severe sepsis. Notably, most of the mortality in PedOnc4 was early (i.e., within 72 hr of ICU admission).

CONCLUSIONS

Mortality was lower than previously reported in critically ill pediatric oncology patients and was associated with MOF and IMV. These findings were further validated and expanded by the four derived nonsynonymous computable phenotypes. Of particular interest for future prospective validation and correlative biological study was the PedOnc4 phenotype, which was composed of patients with hypoxic respiratory failure requiring IMV with sepsis and/or neurologic dysfunction at ICU admission.

Trends in Childhood Oncology Admissions to ICUs in Australia and New Zealand

OBJECTIVES

There are few robust, national-level reports of contemporary trends in pediatric oncology admissions, resource use, and mortality. We aimed to describe national-level data on trends in intensive care admissions, interventions, and survival for children with cancer.

DESIGN

Cohort study using a binational pediatric intensive care registry.

SETTING

Australia and New Zealand.

PATIENTS

Patients younger than 16 years, admitted to an ICU in Australia or New Zealand with an oncology diagnosis between January 1, 2003, and December 31, 2018.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

We examined trends in oncology admissions, ICU interventions, and both crude and risk-adjusted patient-level mortality. Eight thousand four hundred ninety admissions were identified for 5,747 patients, accounting for 5.8% of PICU admissions. Absolute and population-indexed oncology admissions increased from 2003 to 2018, and median length of stay increased from 23.2 hours (interquartile range [IQR], 16.8-62 hr) to 38.8 hours (IQR, 20.9-81.1 hr) ( p < 0.001). Three hundred fifty-seven of 5,747 patients died (6.2%). There was a 45% reduction in risk-adjusted ICU mortality, which reduced from 3.3% (95% CI, 2.1-4.4) in 2003-2004 to 1.8% (95% CI, 1.1-2.5%) in 2017-2018 ( p trend = 0.02). The greatest reduction in mortality seen in hematological cancers and in nonelective admissions. Mechanical ventilation rates were unchanged from 2003 to 2018, while the use of high-flow nasal prong oxygen increased (incidence rate ratio, 2.43; 95% CI, 1.61-3.67 per 2 yr).

CONCLUSIONS

In Australian and New Zealand PICUs, pediatric oncology admissions are increasing steadily and such admissions are staying longer, representing a considerable proportion of ICU activity. The mortality of children with cancer who are admitted to ICU is low and falling.

Prognostic factors and predictive scores for 6-months mortality of hematopoietic stem cell transplantation recipients admitted to the pediatric intensive care unit

Objective

Despite advances in hematopoietic stem cell transplantation (HSCT), a considerable number of pediatric HSCT patients develops post-transplant complications requiring admission to the pediatric intensive care unit (PICU). The objective of this study was to evaluate clinical findings, PICU supportive therapy and outcome as well as predictive factors for 6-months survival after discharge of HSCT patients from PICU.

Study design

This retrospective single-center analysis investigated patient characteristics, microbiological findings, reasons for admission and death of 54 cases accounting for 94 admissions to the PICU of the University Children's Hospital Tuebingen from 2002 to 2017. We compared clinical characteristics between children with and without 6-months survival after discharge from PICU following HSCT. Finally, we assessed the potential prognostic value of the oncological Pediatric Risk of Mortality Score (O-PRISM), the Pediatric Sequential Organ Failure Assessment Score (pSOFA) and the pRIFLE Criteria for Acute Kidney Injury for 6-months survival using Generalized Estimating Equations (GEE) and Receiver Operating Characteristic curves.

Results

Respiratory insufficiency, gastroenterological problems and sepsis were the most common reasons for PICU admission. Out of 54 patients, 38 (70%) died during or after their last PICU admission, 30% survived for at least six months. When considering only first PICU admissions, we could not determine prognostic factors for 6-months mortality. In contrast, under consideration of all PICU admissions in the GEE model, ventilation (p=0.03) and dialysis (p=0.007) were prognostic factors for 6-months mortality. Furthermore, pSOFA (p=0.04) and O-PRISM (p=0.02) were independent risk factors for 6-months mortality considering all PICU admissions.

Conclusion

Admission of HSCT patients to PICU is still associated with poor outcome and 69% of patients died within 6 months. Need for respiratory support and dialysis are associated with poor outcome. Prediction of 6-months survival is difficult, especially during a first PICU admission. However, on subsequent PICU admissions pSOFA and O-PRISM scores might be useful to predict mortality. These scores should be prospectively evaluated in further studies to verify whether they can identify pediatric HSCT recipients profiting most from transferal to the PICU.

Understanding clinical and biological heterogeneity to advance precision medicine in paediatric acute respiratory distress syndrome

Paediatric acute respiratory distress syndrome (PARDS) is a heterogeneous clinical syndrome that is associated with high rates of mortality and long-term morbidity. Factors that distinguish PARDS from adult acute respiratory distress syndrome (ARDS) include changes in developmental stage and lung maturation with age, precipitating factors, and comorbidities. No specific treatment is available for PARDS and management is largely supportive, but methods to identify patients who would benefit from specific ventilation strategies or ancillary treatments, such as prone positioning, are needed. Understanding of the clinical and biological heterogeneity of PARDS, and of differences in clinical features and clinical course, pathobiology, response to treatment, and outcomes between PARDS and adult ARDS, will be key to the development of novel preventive and therapeutic strategies and a precision medicine approach to care. Studies in which clinical, biomarker, and transcriptomic data, as well as informatics, are used to unpack the biological and phenotypic heterogeneity of PARDS, and implementation of methods to better identify patients with PARDS, including methods to rapidly identify subphenotypes and endotypes at the point of care, will drive progress on the path to precision medicine.