Modification and Assessment of the Bedside Pediatric Early Warning Score in the Pediatric Allogeneic Hematopoietic Cell Transplant Population

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.

Validation of a modified bedside Pediatric Early Warning System score for detection of clinical deterioration in hospitalized pediatric oncology patients: A prospective cohort study

BACKGROUND

Hospitalized pediatric oncology patients are at risk of severe clinical deterioration. Yet Pediatric Early Warning System (PEWS) scores have not been prospectively validated in these patients. We aimed to determine the predictive performance of the modified BedsidePEWS score for unplanned pediatric intensive care unit (PICU) admission and cardiopulmonary resuscitation (CPR) in this patient population.

METHODS

We performed a prospective cohort study in an 80-bed pediatric oncology hospital in the Netherlands, where care has been nationally centralized. All hospitalized pediatric oncology patients aged 0-18 years were eligible for inclusion. A Cox proportional hazard model was estimated to study the association between BedsidePEWS score and unplanned PICU admissions or CPR. The predictive performance of the model was internally validated by bootstrapping.

RESULTS

A total of 1137 patients were included. During the study, 103 patients experienced 127 unplanned PICU admissions and three CPRs. The hazard ratio for unplanned PICU admission or CPR was 1.65 (95% confidence interval [CI]: 1.59-1.72) for each point increase in the modified BedsidePEWS score. The discriminative ability was moderate (D-index close to 0 and a C-index of 0.83 [95% CI: 0.79-0.90]). Positive and negative predictive values of modified BedsidePEWS score at the widely used cutoff of 8, at which escalation of care is required, were 1.4% and 99.9%, respectively.

CONCLUSION

The modified BedsidePEWS score is significantly associated with requirement of PICU transfer or CPR. In pediatric oncology patients, this PEWS score may aid in clinical decision-making for timing of PICU transfer.

Weight gain during treatment course of allogenic hematopoietic stem cell transplantation in patients with hematological malignancies affects treatment outcome

BACKGROUND AIMS

Allogeneic hematopoietic stem cell transplantation (allo-HSCT) is an effective treatment for patients with hematological malignancies; however, allo-HSCT does not come without the cost of treatment-related morbidity and mortality. Early detection of risk factors could be helpful in identifying patients who could benefit from early interventions. Many patients gain weight during the allo-HSCT treatment, although little is known about the impact of weight gain.

METHODS

Weight gain in 146 consecutively enrolled adult patients undergoing allo-HSCT was explored.

RESULTS

In total, 141 patients (97%) gained weight along the course of allo-HSCT. Median weight increase was 4.8 kg (range 0.0-16.1 kg), with median increase in body weight 6.5% (range 0.0%-30.8%). Maximum weight increase was observed at day +7 (range day -8, +44). Weight gain was associated with increased incidence of acute graft-versus-host disease. Patients with weight gain >10% had a significantly greater 5-year mortality compared with those with lower weight gain (P = 0.031, rank sum test).

CONCLUSIONS

Weight gain is a simple variable with the ability to provide prognostic information for patients undergoing allo-HSCT.

The predictive performance and impact of pediatric early warning systems in hospitalized pediatric oncology patients-A systematic review

Pediatric early warning systems (PEWS) arewidely used to identify clinically deteriorating patients. Hospitalized pediatric oncology patients are particularly prone to clinical deterioration. We assessed the PEWS performance to predict early clinical deterioration and the effect of PEWS implementation on patient outcomes in pediatric oncology patients. PubMED, EMBASE, and CINAHL databases were systematically searched from inception up to March 2020. Quality assessment was performed using the Prediction model study Risk-Of-Bias Assessment Tool (PROBAST) and the Cochrane Risk-of-Bias Tool. Nine studies were included. Due to heterogeneity of study designs, outcome measures, and diversity of PEWS, it was not possible to conduct a meta-analysis. Although the studies reported high sensitivity, specificity, and area under the receiver operating characteristics curve (AUROC) of PEWS detecting inpatient deterioration, overall risk of bias of the studies was high. This review highlights limited evidence on the predictive performance of PEWS for clinical deterioration and the effect of PEWS implementation.

A biomarker panel for risk of early respiratory failure following hematopoietic cell transplantation

This study identified and validated ST2, WFDC2, IL-6, and TNFR1 as risk biomarkers for RF and related mortality post-HCT.

Plasma biomarkers associated with respiratory failure (RF) following hematopoietic cell transplantation (HCT) have not been identified. Therefore, we aimed to validate early (7 and 14 days post-HCT) risk biomarkers for RF. Using tandem mass spectrometry, we compared plasma obtained at day 14 post-HCT from 15 patients with RF and 15 patients without RF. Six candidate proteins, from this discovery cohort or identified in the literature, were measured by enzyme-linked immunosorbent assay in day-7 and day-14 post-HCT samples from the training (n = 213) and validation (n = 119) cohorts. Cox proportional-hazard analyses with biomarkers dichotomized by Youden’s index, as well as landmark analyses to determine the association between biomarkers and RF, were performed. Of the 6 markers, Stimulation-2 (ST2), WAP 4-disulfide core domain protein 2 (WFDC2), interleukin-6 (IL-6), and tumor necrosis factor receptor 1 (TNFR1), measured at day 14 post-HCT, had the most significant association with an increased risk for RF in the training cohort (ST2: hazard ratio [HR], 4.5, P = .004; WFDC2: HR, 4.2, P = .010; IL-6: HR, 6.9, P < .001; and TFNR1: HR, 6.1, P < .001) and in the validation cohort (ST2: HR, 23.2, P = .013; WFDC2: HR, 18.2, P = .019; IL-6: HR, 12.2, P = .014; and TFNR1: HR, 16.1, P = .001) after adjusting for the conditioning regimen. Using cause-specific landmark analyses, including days 7 and 14, high plasma levels of ST2, WFDC2, IL-6, and TNFR1 were associated with an increased HR for RF in the training and validation cohorts. These biomarkers were also predictive of mortality from RF. ST2, WFDC2, IL-6 and TNFR1 levels measured early posttransplantation improve risk stratification for RF and its related mortality.

Characteristics and outcomes of children receiving intensive care therapy within 12 hours following a medical emergency team event

Objectives: To describe characteristics and outcomes of children requiring intensive care therapy (ICT) within 12 hours following a medical emergency team (MET) event. Design: Retrospective cohort study. Setting: Quaternary paediatric hospital. Patients: Children experiencing a MET event. Measurements and main results: Between July 2017 and March 2019, 890 MET events occurred in 566 patients over 631 admissions. Admission to intensive care followed 183/890 (21%) MET events. 76/183 (42%) patients required ICT, defined as positive pressure ventilation or vasoactive support in intensive care, within 12 hours. Older children had a lower risk of requiring ICT than infants aged < 1 year (age 1-5 years [risk difference, -6.4%; 95% CI, -11% to -1.6%; P = 0.01] v age > 5 years [risk difference, -8.0%; 95% CI, -12% to -3.8%; P < 0.001]), while experiencing a critical event increased this risk (risk difference, 16%; 95% CI, 3.3-29%; P = 0.01). The duration of respiratory support and intensive care length of stay was approximately double in patients requiring ICT (ratio of geometric means, 2.0 [95% CI, 1.4-3.0] v 2.1 [95% CI, 1.5-2.8]; P < 0.001) and the intensive care mortality increased (risk difference, 9.6%; 95% CI, 2.4-17%; P = 0.01). Heart rate, oxygen saturation and respiratory rate were the most commonly measured vital signs in the 6 hours before the MET event. Conclusions: Approximately one-fifth of MET events resulted in intensive care admission and nearly half of these required ICT within 12 hours. This group had greater duration of respiratory support, intensive care and hospital length of stay, and higher mortality. Age < 1 year and a critical event increased the risk of ICT.

Pulmonary Complications of Pediatric Hematopoietic Cell Transplantation. A National Institutes of Health Workshop Summary

Approximately 2,500 pediatric hematopoietic cell transplants (HCTs), most of which are allogeneic, are performed annually in the United States for life-threatening malignant and nonmalignant conditions. Although HCT is undertaken with curative intent, post-HCT complications limit successful outcomes, with pulmonary dysfunction representing the leading cause of nonrelapse mortality. To better understand, predict, prevent, and/or treat pulmonary complications after HCT, a multidisciplinary group of 33 experts met in a 2-day National Institutes of Health Workshop to identify knowledge gaps and research strategies most likely to improve outcomes. This summary of Workshop deliberations outlines the consensus focus areas for future research.

Nursing care for patients in post-transplantation of hematopoietic stem cells: an integrative review

OBJECTIVES

to analyze the available evidence on the nursing care provided to patients after hematopoietic stem cell transplantation.

METHODS

integrative review with the search for primary studies in four databases and a virtual health library. A broad search strategy was used, including research published in English, Brazilian Portuguese, or Spanish, between 2008 and 2018, totaling a sample of 42 studies.

RESULTS

the studies were grouped into three categories: multiple nursing care (n=19), first-line care (n=18), and self-management of care (n=5).

CONCLUSIONS

nursing care is critical, comprising patients' physical, psychological and social aspects. It occurs in hospital and home contexts, mainly involving technical actions and health guidance. The evidence identified provide subsidies for decision-making; however, most studies are of the non-experimental type, indicating the need for conducting intervention research.

Risk Factors for Noninvasive Ventilation Failure in Children Post-Hematopoietic Cell Transplant

Rationale

Little is known on the use of noninvasive ventilation (NIPPV) in pediatric hematopoietic cell transplant (HCT) patients.

Objective

We sought to describe the landscape of NIPPV use and to identify risk factors for failure to inform future investigation or quality improvement.

Methods

This is a multicenter, retrospective observational cohort of 153 consecutive children post-HCT requiring NIPPV from 2010-2016.

Results

97 (63%) failed NIPPV. Factors associated with failure on univariate analysis included: longer oxygen use prior to NIPPV (p=0.04), vasoactive agent use (p<0.001), and higher respiratory rate at multiple hours of NIPPV use (1hr p=0.02, 2hr p=0.04, 4hr p=0.008, 8hr p=0.002). Using respiratory rate at 4 hours a multivariable model was constructed. This model demonstrated high ability to discriminate NIPPV failure (AUC=0.794) with the following results: respiratory rate >40 at 4 hours [aOR=6.3 9(95% CI: 2.4, 16.4), p<0.001] and vasoactive use [aOR=4.9 (95% CI: 1.9, 13.1), p=0.001]. Of note, 11 patients had a cardiac arrest during intubation (11%) and 3 others arrested prior to intubation. These 14 patients were closer to HCT [14 days (IQR:4, 73) vs 54 (IQR:21,117), p<0.01] and there was a trend toward beginning NIPPV outside of the PICU and arrest during/prior to intubation (p=0.056).

Conclusions

In this cohort respiratory rate at 4 hours and vasoactive use are independent risk factors of NIPPV failure. An objective model to predict which children may benefit from a trial of NIPPV, may also inform the timing of both NIPPV initiation and uncomplicated intubation.

Identifying the critically ill paediatric oncology patient: a study protocol for a prospective observational cohort study for validation of a modified Bedside Paediatric Early Warning System score in hospitalised paediatric oncology patients

INTRODUCTION

Hospitalised paediatric oncology patients are at risk to develop acute complications. Early identification of clinical deterioration enabling adequate escalation of care remains challenging. Various Paediatric Early Warning Systems (PEWSs) have been evaluated, also in paediatric oncology patients but mostly in retrospective or case-control study designs. This study protocol encompasses the first prospective cohort with the aim of evaluating the predictive performance of a modified Bedside PEWS score for non-elective paediatric intensive care unit (PICU) admission or cardiopulmonary resuscitation in hospitalised paediatric oncology patients.

METHODS AND ANALYSIS

A prospective cohort study will be conducted at the 80-bed Dutch paediatric oncology hospital, where all national paediatric oncology care has been centralised, directly connected to a shared 22-bed PICU. All patients between 1 February 2019 and 1 February 2021 admitted to the inpatient nursing wards, aged 0-18 years, with an International Classification of Diseases for Oncology (ICD-O) diagnosis of paediatric malignancy will be eligible. A Cox proportional hazard regression model will be used to estimate the association between the modified Bedside PEWS and time to non-elective PICU transfer or cardiopulmonary arrest. Predictive performance (discrimination and calibration) will be assessed internally using resampling validation. To account for multiple occurrences of the event of interest within each patient, the unit of study is a single uninterrupted ward admission (a clinical episode).

ETHICS AND DISSEMINATION

The study protocol has been approved by the institutional ethical review board of our hospital (MEC protocol number 16-572/C). We adapted our enrolment procedure to General Data Protection Regulation compliance. Results will be disseminated at scientific conferences, regional educational sessions and publication in peer-reviewed journals.

TRIAL REGISTRATION NUMBER

Netherlands Trial Registry (NL8957).

A deep learning model for real-time mortality prediction in critically ill children

Background

The rapid development in big data analytics and the data-rich environment of intensive care units together provide unprecedented opportunities for medical breakthroughs in the field of critical care. We developed and validated a machine learning-based model, the Pediatric Risk of Mortality Prediction Tool (PROMPT), for real-time prediction of all-cause mortality in pediatric intensive care units.

Methods

Utilizing two separate retrospective observational cohorts, we conducted model development and validation using a machine learning algorithm with a convolutional neural network. The development cohort comprised 1445 pediatric patients with 1977 medical encounters admitted to intensive care units from January 2011 to December 2017 at Severance Hospital (Seoul, Korea). The validation cohort included 278 patients with 364 medical encounters admitted to the pediatric intensive care unit from January 2016 to November 2017 at Samsung Medical Center.

Results

Using seven vital signs, along with patient age and body weight on intensive care unit admission, PROMPT achieved an area under the receiver operating characteristic curve in the range of 0.89–0.97 for mortality prediction 6 to 60 h prior to death. Our results demonstrated that PROMPT provided high sensitivity with specificity and outperformed the conventional severity scoring system, the Pediatric Index of Mortality, in predictive ability. Model performance was indistinguishable between the development and validation cohorts.

Conclusions

PROMPT is a deep model-based, data-driven early warning score tool that can predict mortality in critically ill children and may be useful for the timely identification of deteriorating patients.

Electronic supplementary material

The online version of this article (10.1186/s13054-019-2561-z) contains supplementary material, which is available to authorized users.