End-of-Life Practices Among Tertiary Care PICUs in the United States: A Multicenter Study

Palliative Care in the Pediatric Intensive Care Unit

The purposes of this review are to describe differences between palliative care for adult patients and palliative care for pediatric patients, both generally and in the intensive care unit; to highlight ethical considerations for pediatric intensive care unit patients by using illustrative cases; and to examine the impact of these ethical considerations on decision-making for children and their families.

Ventilator Weaning and Terminal Extubation: Withdrawal of Life-Sustaining Therapy in Children. Secondary Analysis of the Death One Hour After Terminal Extubation Study

OBJECTIVE

Terminal extubation (TE) and terminal weaning (TW) during withdrawal of life-sustaining therapies (WLSTs) have been described and defined in adults. The recent Death One Hour After Terminal Extubation study aimed to validate a model developed to predict whether a child would die within 1 hour after discontinuation of mechanical ventilation for WLST. Although TW has not been described in children, pre-extubation weaning has been known to occur before WLST, though to what extent is unknown. In this preplanned secondary analysis, we aim to describe/define TE and pre-extubation weaning (PW) in children and compare characteristics of patients who had ventilatory support decreased before WLST with those who did not.

DESIGN

Secondary analysis of multicenter retrospective cohort study.

SETTING

Ten PICUs in the United States between 2009 and 2021.

PATIENTS

Nine hundred thirteen patients 0-21 years old who died after WLST.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

71.4% ( n = 652) had TE without decrease in ventilatory support in the 6 hours prior. TE without decrease in ventilatory support in the 6 hours prior = 71.4% ( n = 652) of our sample. Clinically relevant decrease in ventilatory support before WLST = 11% ( n = 100), and 17.6% ( n = 161) had likely incidental decrease in ventilatory support before WLST. Relevant ventilator parameters decreased were F io2 and/or ventilator set rates. There were no significant differences in any of the other evaluated patient characteristics between groups (weight, body mass index, unit type, primary diagnostic category, presence of coma, time to death after WLST, analgosedative requirements, postextubation respiratory support modality).

CONCLUSIONS

Decreasing ventilatory support before WLST with extubation in children does occur. This practice was not associated with significant differences in palliative analgosedation doses or time to death after extubation.

Pediatric Death After Withdrawal of Life-Sustaining Therapies: A Scoping Review

OBJECTIVES

Evaluate literature on the dying process in children after withdrawal of life sustaining measures (WLSM) in the PICU. We focused on the physiology of dying, prediction of time to death, impact of time to death, and uncertainty of the dying process on families, healthcare workers, and organ donation.

DATA SOURCES

MEDLINE, Embase, Cochrane Central Register of Controlled Trials, PsycINFO, CINAHL, and Web of Science.

STUDY SELECTION

We included studies that discussed the dying process after WLSM in the PICU, with no date or study type restrictions. We excluded studies focused exclusively on adult or neonatal populations, children outside the PICU, or on organ donation or adult/pediatric studies where pediatric data could not be isolated.

DATA EXTRACTION

Inductive qualitative content analysis was performed.

DATA SYNTHESIS

Six thousand two hundred twenty-five studies were screened and 24 included. Results were grouped into four categories: dying process, perspectives of healthcare professionals and family, WLSM and organ donation, and recommendations for future research. Few tools exist to predict time to death after WLSM in children. Most deaths after WLSM occur within 1 hour and during this process, healthcare providers must offer support to families regarding logistics, medications, and expectations. Providers describe the unpredictability of the dying process as emotionally challenging and stressful for family members and staff; however, no reports of families discussing the impact of time to death prediction were found. The unpredictability of death after WLSM makes families less likely to pursue donation. Future research priorities include developing death prediction tools of tools, provider and parental decision-making, and interventions to improve end-of-life care.

CONCLUSIONS

The dying process in children is poorly understood and understudied. This knowledge gap leaves families in a vulnerable position and the clinical team without the necessary tools to support patients, families, or themselves. Improving time to death prediction after WLSM may improve care provision and enable identification of potential organ donors.

The roles of preparation, location, and palliative care involvement in parent-perceived child suffering at the end of life

PURPOSE

Parents' perceptions of their child's suffering affect their bereavement experience. Identifying factors that shape parental perceptions of suffering could help build effective supportive interventions for children and parents navigating EOL and grief. We aimed to compare parent-perceived child suffering between diagnostic groups and identify related factors.

DESIGN AND METHODS

We combined databases from 3 surveys of parents whose children who died following cancer, a complex chronic condition (CCC), or advanced heart disease. We built multivariable logistic regression models to identify relationships between parent-perceived child suffering and parent/child, illness experience, and care-related factors.

RESULTS

Among 277 parents, 41% rated their child's suffering as moderate or high. Fifty-seven percent of parents whose child died from cancer reported that their child suffered "a lot" or "a great deal" at EOL, compared to 33% whose child died from a CCC, and 17% whose child died from heart disease (P < 0.001). Preparation for EOL symptoms was associated with decreased parent-perceived child suffering in multivariable modeling, with parents who were prepared for EOL 68% less likely to rate their child's suffering as high compared to those who felt unprepared (AOR: 0.32, CI [0.13-0.77], P = 0.013).

CONCLUSIONS

Preparing families for their child's EOL may help mitigate lingering perceptions of suffering. Operationalizing preparation is crucial to optimizing family support during EOL care.

IMPLICATIONS TO PRACTICE

Preparation for symptoms, and access to resources, including medical/psychosocial interventions and staff, may help ease parental perception of EOL suffering. Clinicians should prioritize preparing families for what to expect during a child's dying process.

Admission Pao2 and Mortality Among PICU Patients and Select Diagnostic Subgroups

OBJECTIVES

Evaluate the relationship between admission Pao2 and mortality in a large multicenter dataset and among diagnostic subgroups.

DESIGN

Retrospective cohort study.

SETTING

North American PICUs participating in Virtual Pediatric Systems, LLC (VPS), 2015-2019.

PATIENTS

Noncardiac patients 18 years or younger admitted to a VPS PICU with admission Pao2.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Thirteen thousand seventy-one patient encounters were included with an overall mortality of 13.52%. Age categories were equally distributed among survivors and nonsurvivors with the exception of small differences among neonates and adolescents. Importantly, there was a tightly fitting quadratic relationship between admission Pao2 and mortality, with the highest mortality rates seen among hypoxemic and hyperoxemic patients (likelihood-ratio test p < 0.001). This relationship persisted after adjustment for illness severity using modified Pediatric Index of Mortality 3 scores. A similar U-shaped relationship was demonstrated among patients with diagnoses of trauma, head trauma, sepsis, renal failure, hemorrhagic shock, and drowning. However, among the 1,500 patients admitted following cardiac arrest, there was no clear relationship between admission Pao2 and mortality.

CONCLUSIONS

In a large multicenter pediatric cohort, admission Pao2 demonstrates a tightly fitting quadratic relationship with mortality. The persistence of this relationship among some but not all diagnostic subgroups suggests the pathophysiology of certain disease states may modify the hyperoxemia association.

Descriptive and Clinical Characteristics of Nonsurvivors in a Tertiary Pediatric Intensive Care Unit in Turkey: 6 Years of Experience

The objective of this study was to identify the characteristics of nonsurvivors in a pediatric intensive care unit (PICU) in Turkey. This is a retrospective analysis of patients who died in a tertiary PICU over a 6-year period from 2016 to 2021. Data were drawn from electronic medical records and resuscitation notes. Mode of death was categorized as failed cardiopulmonary resuscitation (F-CPR) or brain death. Among the 161 deaths, 136 nonsurvivors were included and 30.1% were younger than 1 year. Severe pneumonia, respiratory failure, and acute respiratory distress syndrome (ARDS) (31.6%) were the most common primary diagnoses. The most common mode of death was F-CPR (86.8%). More than half of the subjects had been admitted from pediatric emergency departments (58.1%), and more than half (53.7%) had died within 7 days in the PICU. Patients admitted from pediatric emergency departments had the lowest frequency of comorbidities (p < 0.001). Severe pneumonia, respiratory failure, and ARDS diagnoses were significantly more frequent in those who died after 7 days (p < 0.001), whereas septicemia, shock, and multiple organ dysfunction were more common among those who died within the first day of PICU admission (p < 0.001). It may be important to note that patients referred from wards are highly likely to have comorbidities, while those referred from pediatric emergency departments may be relatively younger. Additionally, patients with septicemia, shock, or multiple organ dysfunction were more likely to die earlier (within 7 days), especially compared with those with severe pneumonia, respiratory failure, or ARDS.

Organ Dysfunction Among Children Meeting Brain Death Criteria: Implications for Organ Donation

OBJECTIVES

Over 70% of pediatric organ donors are declared deceased by brain death (BD) criteria. Patients with these devastating neurologic injuries often have accompanying multiple organ dysfunction. This study was performed to characterize organ dysfunction in children who met BD criteria and were able to donate their organs compared with those deemed medically ineligible.

DESIGN

Retrospective cohort study.

SETTING

PICU at a quaternary care children's hospital.

PATIENTS

Patients with International Classification of Diseases , 9th Edition codes corresponding to BD between 2012 and 2018 were included.

MEASUREMENTS AND MAIN RESULTS

Demographics, comorbidities, Pediatric Risk of Mortality (PRISM)-III, and injury mechanisms were derived from the medical record. Organ dysfunction was quantified by evaluating peak daily organ-specific variables. Fifty-eight patients, from newborn to 22 years old, were included with a median PRISM-III of 34 (interquartile range [IQR], 26-36), and all met criteria for multiple organ dysfunction syndrome (MODS). Thirty-four of 58 BD children (59%) donated at least one organ. Of the donors (not mutually exclusive proportions), 10 of 34 donated lungs, with a peak oxygenation index of 11 (IQR, 8-23); 24 of 34 donated their heart (with peak Vasoactive Inotrope Score 23 [IQR, 18-33]); 31 of 34 donated kidneys, of whom 16 of 31 (52%) had evidence of acute kidney injury; and 28 of 34 patients donated their liver, with peak alanine transferase (ALT) of 104 U/L (IQR, 44-268 U/L) and aspartate aminotransferase (AST) of 165 U/L (IQR, 94-434 U/L). Organ dysfunction was similar between heart and lung donors and respective medically ineligible nondonors. Those deemed medically ineligible to donate their liver had higher peak ALT 1,518 U/L (IQR, 986-1,748 U/L) ( p = 0.01) and AST 2,200 U/L (IQR, 1,453-2,405 U/L) ( p = 0.01) compared with liver donors.

CONCLUSIONS

In our single-center experience, all children with BD had MODS, yet more than one-half were still able to donate organs. Future research should further evaluate transplant outcomes of dysfunctional organs prior to standardizing donation eligibility criteria.

Normothermic Regional Perfusion in Pediatric Controlled Donation After Circulatory Death Can Lead to Optimal Organ Utilization and Posttransplant Outcomes

BACKGROUND

The benefits of normothermic regional perfusion (NRP) in posttransplant outcomes after controlled donation after the determination of death by circulatory criteria (cDCD) has been shown in different international adult experiences. However, there is no information on the use of NRP in pediatric cDCD donors.

METHODS

This is a multicenter, retrospective, observational cohort study describing the pediatric (<18 y) cDCD procedures performed in Spain, using either abdominal NRP or thoracoabdominal NRP and the outcomes of recipients of the obtained organs.

RESULTS

Thirteen pediatric cDCD donors (age range, 2-17 y) subject to abdominal NRP or thoracoabdominal NRP were included. A total of 46 grafts (24 kidneys, 11 livers, 8 lungs, 2 hearts, and 1 pancreas) were finally transplanted (3.5 grafts per donor). The mean functional warm ischemic time was 15 min (SD 6 min)' and the median duration of NRP was 87 min (interquartile range, 69-101 min). One-year noncensored for death kidney graft survival was 91.3%. The incidence of delayed graft function was 13%. One-year' noncensored-for-death liver graft survival was 90.9%. All lung and pancreas recipients had an excellent evolution. One heart recipient died due to a septic shock.

CONCLUSIONS

This is the largest experience of pediatric cDCD using NRP as graft preservation method. Although our study has several limitations, such as its retrospective nature and the small sample size, its reveals that NRP may increase the utilization of cDCD pediatric organs and offer optimal recipients' outcomes.

How do hospitalised children die? The context of death and end-of-life decision-making

AIM

The decrease in childhood mortality, the growing clinical complexity and the greater technification of intensive care units have changed the circumstances of death of paediatric patients. The aim of this study is to describe the context of death and end-of-life decision-making.

METHODS

Single-centre, retrospective, observational study of deaths in inpatients or home hospitalised children under 18 years old between 2011 and 2021. Demographic data, pathological history and circumstances of death were obtained from the medical record. The whole study period was divided into two halves for the analysis of the temporal trends.

RESULTS

A total of 358 patients died, 63.2% under the age of 1 year old; 86.9% had underlying life-limiting illnesses and 73.2% died in the intensive care unit, with no differences between the two time periods. Death at home was significantly higher in the second study period (3.8% vs. 9%). A total of 20.1% died during advanced cardiopulmonary resuscitation. Life-sustaining treatment was withheld or withdrawn in 53.6%, with no differences between the time courses. Life-sustaining treatment was withheld mainly in patients with neurological, metabolic and oncological conditions, and less frequently in patients with cardiovascular or respiratory diseases or who were previously healthy. Most patients coded as palliative care (PC) or followed up by PC teams had an advance care plan (ACP) recorded, while in the others it was infrequent. PC coding, following by PC teams and ACP recording increased in the last years of the study.

CONCLUSIONS

Death of children in our setting usually occurs in relation to complex underlying pathology and after the decision of withdrawing or withholding life-sustaining treatment. In this context, PC and ACP acquire greater importance. In our study, PC involvement resulted in better documentation of ACP and PC coding.

Paediatric death after withdrawal of life-sustaining therapies: a scoping review protocol

INTRODUCTION

The physiology of dying after withdrawal of life-sustaining measures (WLSM) is not well described in children. This lack of knowledge makes predicting the duration of the dying process difficult. For families, not knowing this process's duration interferes with planning of rituals related to dying, travel for distant relatives and emotional strain during the wait for death. Time-to-death also impacts end-of-life care and determines whether a child will be eligible for donation after circulatory determination of death. This scoping review will summarise the current literature about what is known about the dying process in children after WLSM in paediatric intensive care units (PICUs).

METHODS AND ANALYSIS

This review will use Joanna Briggs Institute methodology for scoping reviews. Databases searched will include Ovid MEDLINE, Ovid Embase, Cochrane Central Register of Controlled Trials via EBM Reviews Ovid, Ovid PsycINFO, CINAHL and Web of Science. Literature reporting on the physiology of dying process after WLSM, or tools that predict time of death in children after WLSM among children aged 0-18 years in PICUs worldwide will be considered. Literature describing the impact of prediction or timing of death after WLSM on families, healthcare workers and the organ donation process will also be included. Quantitative and qualitative studies will be evaluated. Two independent reviewers will screen references by title and abstract, and then by full text, and complete data extraction and analysis.

ETHICS AND DISSEMINATION

The review uses published data and does not require ethics review. Review results will be published in a peer-reviewed scientific journal.

Predicting Time to Death After Withdrawal of Life-Sustaining Treatment in Children

Accurately predicting time to death after withdrawal of life-sustaining treatment is valuable for family counseling and for identifying candidates for organ donation after cardiac death. This topic has been well studied in adults, but literature is scant in pediatrics. The purpose of this report is to assess the performance and clinical utility of the available tools for predicting time to death after treatment withdrawal in children.

Guidance for Pediatric End-of-Life Care

The final hours, days, and weeks in the life of a child or adolescent with serious illness are stressful for families, pediatricians, and other pediatric caregivers. This clinical report reviews essential elements of pediatric care for these patients and their families, establishing end-of-life care goals, anticipatory counseling about the dying process (expected signs or symptoms, code status, desired location of death), and engagement with palliative and hospice resources. This report also outlines postmortem tasks for the pediatric team, including staff debriefing and bereavement.

Nursing Care at End of Life in Pediatric Intensive Care Unit Patients Requiring Mechanical Ventilation

BACKGROUND

Parents' perceptions of critical care during the final days of their child's life shape their grief for decades. Little is known about nursing care needs of children actively dying in the pediatric intensive care unit (PICU).

OBJECTIVES

To examine associations between patient characteristics, circumstances of death, and nursing care requirements for children who died in the PICU.

METHODS

A secondary analysis of the data set from the Randomized Evaluation of Sedation Titration for Respiratory Failure trial was conducted.

RESULTS

This analysis included 104 children; 67 died after withdrawal of life-sustaining treatments; 21, after failed resuscitation; and 16, after brain death. Patients had a median age of 7.5 years, were cognitively appropriate, and were intubated for acute respiratory failure. Daily pain and sedation scores indicated patients' comfort was well managed (mean pain scores: modal, 0; peak, 2; mean sedation scores: modal, -2; peak, -1). Patients with longer PICU stays more often experienced pain and agitation on the day of death. Illness trajectory (acute, complex chronic condition, or cancer) was associated with pain scores (P = .04). Specifically, children with cancer had higher pain scores than children with acute illness trajectories (P = .01). Many patients (62%) had no change in critical care devices in their last days of life (median, 5 devices). Patterns of pain, sedation, comfort medications, and nursing care requirements did not differ by circumstances of death.

CONCLUSION

Children with cancer and longer PICU stays may need comprehensive comfort management. Invasive devices left in place during withdrawal of life support may have inhibited parents' ability to connect with their child. Future research should incorporate parents' perspectives.

Dynamic Mortality Risk Predictions for Children in ICUs: Development and Validation of Machine Learning Models

OBJECTIVES

Assess a machine learning method of serially updated mortality risk.

DESIGN

Retrospective analysis of a national database (Health Facts; Cerner Corporation, Kansas City, MO).

SETTING

Hospitals caring for children in ICUs.

PATIENTS

A total of 27,354 admissions cared for in ICUs from 2009 to 2018.

INTERVENTIONS

None.

MAIN OUTCOME

Hospital mortality risk estimates determined at 6-hour time periods during care in the ICU. Models were truncated at 180 hours due to decreased sample size secondary to discharges and deaths.

MEASUREMENTS AND MAIN RESULTS

The Criticality Index, based on physiology, therapy, and care intensity, was computed for each admission for each time period and calibrated to hospital mortality risk (Criticality Index-Mortality [CI-M]) at each of 29 time periods (initial assessment: 6 hr; last assessment: 180 hr). Performance metrics and clinical validity were determined from the held-out test sample (n = 3,453, 13%). Discrimination assessed with the area under the receiver operating characteristic curve was 0.852 (95% CI, 0.843-0.861) overall and greater than or equal to 0.80 for all individual time periods. Calibration assessed by the Hosmer-Lemeshow goodness-of-fit test showed good fit overall (p = 0.196) and was statistically not significant for 28 of the 29 time periods. Calibration plots for all models revealed the intercept ranged from--0.002 to 0.009, the slope ranged from 0.867 to 1.415, and the R2 ranged from 0.862 to 0.989. Clinical validity assessed using population trajectories and changes in the risk status of admissions (clinical volatility) revealed clinical trajectories consistent with clinical expectations and greater clinical volatility in deaths than survivors (p < 0.001).

CONCLUSIONS

Machine learning models incorporating physiology, therapy, and care intensity can track changes in hospital mortality risk during intensive care. The CI-M's framework and modeling method are potentially applicable to monitoring clinical improvement and deterioration in real time.

End-of-Life Decision-Making in Pediatric and Neonatal Intensive Care Units in Croatia—A Focus Group Study among Nurses and Physicians

Background and Objectives: Working in pediatric and neonatal intensive care units (ICUs) can be challenging and differs from work in adult ICUs. This study investigated for the first time the perceptions, experiences and challenges that healthcare professionals face when dealing with end-of-life decisions in neonatal intensive care units (NICUs) and pediatric intensive care units (PICUs) in Croatia. Materials and Methods: This qualitative study with focus groups was conducted among physicians and nurses working in NICUs and PICUs in five healthcare institutions (three pediatric intensive care units (PICUs) and five neonatal intensive care units (NICUs)) at the tertiary level of healthcare in the Republic of Croatia, in Zagreb, Rijeka and Split. A total of 20 physicians and 21 nurses participated in eight focus groups. The questions concerned everyday practices in end-of-life decision-making and their connection with interpersonal relationships between physicians, nurses, patients and their families. The constant comparative analysis method was used in the analysis of the data. Results: The analysis revealed two main themes that were the same among the professional groups as well as in both NICU and PICU units. The theme “critical illness” consisted of the following subthemes: the child, the family, myself and other professionals. The theme “end-of-life procedures” consisted of the following subthemes: breaking point, decision-making, end-of-life procedures, “spill-over” and the four walls of the ICU. The perceptions and experiences of end-of-life issues among nurses and physicians working in NICUs and PICUs share multiple common characteristics. The high variability in end-of-life procedures applied and various difficulties experienced during shared decision-making processes were observed. Conclusions: There is a need for further research in order to develop clinical and professional guidelines that will inform end-of-life decision-making, including the specific perspectives of everyone involved, and the need to influence policymakers.

Is this as good as it gets? Implications of an asymptotic mortality decline and approaching the nadir in pediatric intensive care

Despite advances in medicine, some children will always die; a decline in pediatric intensive care unit (PICU) mortality to zero will never be achieved. The mortality decline is correspondingly asymptotic, yet we remain preoccupied with mortality outcomes. Are we at the nadir, and are we, thus, as good as we can get? And what should we focus to benchmark our units, if not mortality? In the face of changing case-mix and rising complexity, dramatic reductions in PICU mortality have been observed globally. At the same time, survivors have increasing disability, and deaths are often characterized by intensive life-sustaining therapies preceded by prolonged admissions, emphasizing the need to consider alternate outcome measures to evaluate our successes and failures. What are the costs and implications of reaching this nadir in mortality outcomes? We highlight the failings of our fixation with survival and an imperative to consider alternative outcomes in our PICUs, including the costs for both patients that survive and die, their families, healthcare providers, and society including perspectives in low resource settings. We describe the implications for benchmarking, research, and training the next generation of providers.Conlusion: Although survival remains a highly relevant metric, as PICUs continue to strive for clinical excellence, pushing boundaries in research and innovation, with endeavors in safety, quality, and high-reliability systems, we must prioritize outcomes beyond mortality, evaluate "costs" beyond economics, and find novel ways to improve the care we provide to all of our pediatric patients and their families. What is Known: • The fall in PICU mortality is asymptotic, and a decline to zero is not achievable. Approaching the nadir, we challenge readers to consider implications of focusing on medical and technological advances with survival as the sole outcome of interest. What is New: • Our fixation with survival has costs for patients, families, staff, and society. In the changing PICU landscape, we advocate to pivot towards alternate outcome metrics. • By considering the implications for benchmarking, research, and training, we may better care for patients and families, educate trainees, and expand what it means to succeed in the PICU.

Palliative and Critical Care: Their Convergence in the Pediatric Intensive Care Unit

Palliative care (PC) is an integral component of optimal critical care (CC) practice for pediatric patients facing life-threatening illness. PC acts as an additional resource for patients and families as they navigate through critical illness. Although PC encompasses end of life care, it is most effective when integrated early alongside disease-directed and curative therapies. PC primarily focuses on improving quality of life for patients and families by anticipating, preventing and treating suffering throughout the continuum of illness. This includes addressing symptom distress and facilitating communication. Effective communication is vital to elicit value-based goals of care, and to guide parents through patient-focused and potentially difficult decision-making process which includes advanced care planning. A multidisciplinary approach is most favorable when providing support to both patient and family, whether it is from the psychosocial, practical, emotional, spiritual or cultural aspects. PC also ensures coordination and continuity of care across different care settings. Support for family carries on after death with grief and bereavement support. This narrative review aims to appraise the current evidence of integration of PC into pediatric CC and its impact on patient- and family-centered outcomes. We will also summarize the impact of integration of good PC into pediatric CC, including effective communication with families, advanced care planning, withholding or withdrawal of life sustaining measures and bereavement support. Finally, we will provide a framework on how best to integrate PC in PICU. These findings will provide insights on how PC can improve the quality of care of a critically ill child.

The criticality Index-mortality: A dynamic machine learning prediction algorithm for mortality prediction in children cared for in an ICU

BACKGROUND

The Criticality Index-Mortality uses physiology, therapy, and intensity of care to compute mortality risk for pediatric ICU patients. If the frequency of mortality risk computations were increased to every 3 h with model performance that could improve the assessment of severity of illness, it could be utilized to monitor patients for significant mortality risk change.

OBJECTIVES

To assess the performance of a dynamic method of updating mortality risk every 3 h using the Criticality Index-Mortality methodology and identify variables that are significant contributors to mortality risk predictions.

POPULATION

There were 8,399 pediatric ICU admissions with 312 (3.7%) deaths from January 1, 2018 to February 29, 2020. We randomly selected 75% of patients for training, 13% for validation, and 12% for testing.

MODEL

A neural network was trained to predict hospital survival or death during or following an ICU admission. Variables included age, gender, laboratory tests, vital signs, medications categories, and mechanical ventilation variables. The neural network was calibrated to mortality risk using nonparametric logistic regression.

RESULTS

Discrimination assessed across all time periods found an AUROC of 0.851 (0.841-0.862) and an AUPRC was 0.443 (0.417-0.467). When assessed for performance every 3 h, the AUROCs had a minimum value of 0.778 (0.689-0.867) and a maximum value of 0.885 (0.841,0.862); the AUPRCs had a minimum value 0.148 (0.058-0.328) and a maximum value of 0.499 (0.229-0.769). The calibration plot had an intercept of 0.011, a slope of 0.956, and the R² was 0.814. Comparison of observed vs. expected proportion of deaths revealed that 95.8% of the 543 risk intervals were not statistically significantly different. Construct validity assessed by death and survivor risk trajectories analyzed by mortality risk quartiles and 7 high and low risk diseases confirmed a priori clinical expectations about the trajectories of death and survivors.

CONCLUSIONS

The Criticality Index-Mortality computing mortality risk every 3 h for pediatric ICU patients has model performance that could enhance the clinical assessment of severity of illness. The overall Criticality Index-Mortality framework was effectively applied to develop an institutionally specific, and clinically relevant model for dynamic risk assessment of pediatric ICU patients.

Death and Dying in Hospitalized Pediatric Patients: A Prospective Multicenter, Multinational Study

Background: For hospitalized children admitted outside of a critical care unit, the location, mode of death, "do-not-resuscitate" order (DNR) use, and involvement of palliative care teams have not been described across high-income countries. Objective: To describe location of death, patient and terminal care plan characteristics of pediatric inpatient deaths inside and outside the pediatric intensive care unit (PICU). Design: Secondary analysis of inpatient deaths in the Evaluating Processes of Care and Outcomes of Children in Hospital (EPOCH) randomized controlled trial. Setting/Subjects: Twenty-one centers from Canada, Belgium, the United Kingdom, Ireland, Italy, the Netherlands, and New Zealand. Measurement: Descriptive statistics were used to compare patient and terminal care plan characteristics. A multivariable generalized estimating equation examined if palliative care consult during hospital admission was associated with location of death. Results: A total of 365 of 144,539 patients enrolled in EPOCH died; 219 (60%) died in PICU and 143 (40%) died on another inpatient unit. Compared with other inpatient wards, patients who died in PICU were less likely to be expected to die, have a DNR or palliative care consult. Hospital palliative care consultation was more common in older children and independently associated with a lower adjusted odds (95% confidence interval) of dying in PICU [0.59 (0.52-0.68)]. Conclusion: Most pediatric inpatient deaths occur in PICU where patients were less likely to have a DNR or palliative care consult. Palliative care consultation could be better integrated into end-of-life care for younger children and those dying in PICU.

End-of-life practices in patients admitted to pediatric intensive care units in Brazil: A retrospective study

OBJECTIVE

To determine the prevalence of life support limitation (LSL) in patients who died after at least 24h of a pediatric intensive care unit (PICU) stay, parent participation and to describe how this type of care is delivered.

METHODS

Retrospective cohort study in a tertiary PICU at a university hospital in Brazil. All patients aged 1 month to 18 years who died were eligible for inclusion. The exclusion criteria were those brain death and death within 24h of admission.

RESULTS

53 patients were included in the study. The prevalence of a LSL report was 45.3%. Out of 24 patients with a report of LSL on their medical records only 1 did not have a do-not-resuscitate order. Half of the patients with a report of LSL had life support withdrawn. The length of their PICU stay, age, presence of parents at the time of death, and severity on admission, calculated by the Pediatric Index of Mortality 2, were higher in patients with a report of LSL. Compared with other historical cohorts, there was a clear increase in the prevalence of LSL and, most importantly, a change in how limitations are carried out, with a high prevalence of parental participation and an increase in withdrawal of life support.

CONCLUSIONS

LSLs were associated with older and more severely ill patients, with a high prevalence of family participation in this process. The historical comparison showed an increase in LSL and in the withdrawal of life support.

Unassisted Return of Spontaneous Circulation Following Withdrawal of Life-Sustaining Therapy During Donation After Circulatory Determination of Death in a Child

OBJECTIVES

To describe the unassisted return of spontaneous circulation following withdrawal of life-sustaining treatment in a child.

DESIGN

Case report based on clinical observation and medical record review.

SETTING

Community Children's Hospital.

PATIENT

Two-year old child.

INTERVENTIONS

Following hypoxic-ischemic brain injury, the child was taken to the operating room for withdrawal of life-sustaining treatment during controlled donation after circulatory determination of death.

MEASUREMENTS AND MAIN RESULTS

In addition to direct observation by experienced pediatric critical care providers, the child was monitored with electrocardiography, pulse oximetry, and invasive blood pressure via femoral arterial catheter in addition to direct observation by experienced pediatric critical care providers. Unassisted return of spontaneous circulation occurred greater than 2 minutes following circulatory arrest and was accompanied by return of respiration.

CONCLUSIONS

We provide the first report of unassisted return of spontaneous circulation following withdrawal of life-sustaining treatment in a child. In our case, return of spontaneous circulation occurred in the setting of controlled donation after circulatory determination of death and was accompanied by return of respiration. Return of spontaneous circulation greater than 2 minutes following circulatory arrest in our patient indicates that 2 minutes of observation is insufficient to ensure that cessation of circulation is permanent after withdrawal of life-sustaining treatment in a child.

End-of-Life Care in Taiwan: Single-Center Retrospective Study of Modes of Death

OBJECTIVES

Medical advances and the National Health Insurance coverage in Taiwan mean that mortality in the PICU is low. This study describes change in modes of death and end-of-life care in a single center, 2011-2017.

SETTING

Multidisciplinary PICU in a tertiary referral Children's Hospital in Taiwan.

PATIENTS

There were 316 deaths in PICU patients.

INTERVENTIONS

Palliative care consultation in the PICU service occurred after the 2013 "Hospice Palliative Care Act" revision.

MEASUREMENTS AND MAIN RESULTS

In the whole cohort, 22 of 316 patients (7%) were determined as "death by neurologic criteria". There were 94 of 316 patients (30%) who had an event needing cardiopulmonary resuscitation within 24 hours of death: 17 of these patients (17/94; 18%) died after failed cardiopulmonary resuscitation without a do-not-resuscitate order, and the other 77 of 94 patients (82%) had a do-not-resuscitate order after cardiopulmonary resuscitation. Overall, there were 200 of 316 patients (63%) who had a do-not-resuscitate order and were entered into the palliative program: 169 of 200 (85%) died after life-sustaining treatment was limited, and the other 31 of 200 (15%) died after life-sustaining treatment was withdrawn. From 2011 to 2017, the time-trend in end-of-life care showed the following associations: 1) a decrease in PICU mortality utilization rate, from 22% to 7% (p < 0.001); 2) a decrease in use of catecholamine infusions after do-not-resuscitate consent, from 87% to 47% (p = 0.001), in patients having limitation in life-sustaining treatment; and 3) an increase in withdrawal of life-sustaining treatment, from 4% to 31% (p < 0.001).

CONCLUSIONS

In our practice in a single PICU-center in Taiwan, we have seen that the integration of a palliative care consultation service, developed after the revision of a national "Palliative Care Act," was associated with increased willingness to accept withdrawal of life-sustaining treatment and a lowered PICU care intensity at the end-of-life.

Comparison of pediatric brain-dead donors to donation after circulatory death donors in the United States

In pediatrics, an increasing need for transplantable organs exists. This study aimed to describe the epidemiology of pediatric deceased donors in the United States. This retrospective observational study utilized data from the Organ Procurement and Transplantation Network (OPTN) from 2000 to 2015. Patients were stratified based on method of organ donation. Demographic variables and mechanism of death were then compared. A total of 14,481 deceased pediatric organ donors, donation after brain death (DBD) and donation after circulatory death (DCD), were included in the study, of which 8% were DCD donors. A significant difference (p<0.001) existed between the two donor groups with respect to ethnicity and mechanism of death. The annual trend of DCD and DBD donors showed an inverse relationship. During the 15-year study period the number of DBD donors decreased from 985 to 785 per year while DCD donors increased from 15 to 146 per year. As well, overall organs transplanted per year decreased from 3,475 to 3,117 over the 15-year study period. Significant differences exist between pediatric DBD donors and DCD donors, specifically with respect to ethnicity and mechanism of death. The number of pediatric DBD donors is decreasing while the number of pediatric DCD is slowly rising, making it increasingly important to be able to characterize these donors to better identify eligible DCD donors to optimize organ utilization.

Machine Learning to Predict Cardiac Death Within 1 Hour After Terminal Extubation

OBJECTIVES

Accurate prediction of time to death after withdrawal of life-sustaining therapies may improve counseling for families and help identify candidates for organ donation after cardiac death. The study objectives were to: 1) train a long short-term memory model to predict cardiac death within 1 hour after terminal extubation, 2) calculate the positive predictive value of the model and the number needed to alert among potential organ donors, and 3) examine associations between time to cardiac death and the patient's characteristics and physiologic variables using Cox regression.

DESIGN

Retrospective cohort study.

SETTING

PICU and cardiothoracic ICU in a tertiary-care academic children's hospital.

PATIENTS

Patients 0-21 years old who died after terminal extubation from 2011 to 2018 (n = 237).

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

The median time to death for the cohort was 0.3 hours after terminal extubation (interquartile range, 0.16-1.6 hr); 70% of patients died within 1 hour. The long short-term memory model had an area under the receiver operating characteristic curve of 0.85 and a positive predictive value of 0.81 at a sensitivity of 94% when predicting death within 1 hour of terminal extubation. About 39% of patients who died within 1 hour met organ procurement and transplantation network criteria for liver and kidney donors. The long short-term memory identified 93% of potential organ donors with a number needed to alert of 1.08, meaning that 13 of 14 prepared operating rooms would have yielded a viable organ. A Cox proportional hazard model identified independent predictors of shorter time to death including low Glasgow Coma Score, high Pao2-to-Fio2 ratio, low-pulse oximetry, and low serum bicarbonate.

CONCLUSIONS

Our long short-term memory model accurately predicted whether a child will die within 1 hour of terminal extubation and may improve counseling for families. Our model can identify potential candidates for donation after cardiac death while minimizing unnecessarily prepared operating rooms.

Severity Trajectories of Pediatric Inpatients Using the Criticality Index

OBJECTIVES

To assess severity of illness trajectories described by the Criticality Index for survivors and deaths in five patient groups defined by the sequence of patient care in ICU and routine patient care locations.

DESIGN

The Criticality Index developed using a calibrated, deep neural network, measures severity of illness using physiology, therapies, and therapeutic intensity. Criticality Index values in sequential 6-hour time periods described severity trajectories.

SETTING

Hospitals with pediatric inpatient and ICU care.

PATIENTS

Pediatric patients never cared for in an ICU (n = 20,091), patients only cared for in the ICU (n = 2,096) and patients cared for in both ICU and non-ICU care locations (n = 17,023) from 2009 to 2016 Health Facts database (Cerner Corporation, Kansas City, MO).

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Criticality Index values were consistent with clinical experience. The median (25-75th percentile) ICU Criticality Index values (0.878 [0.696-0.966]) were more than 80-fold higher than the non-ICU values (0.010 [0.002-0.099]). Non-ICU Criticality Index values for patients transferred to the ICU were 40-fold higher than those never transferred to the ICU (0.164 vs 0.004). The median for ICU deaths was higher than ICU survivors (0.983 vs 0.875) (p < 0.001). The severity trajectories for the five groups met expectations based on clinical experience. Survivors had increasing Criticality Index values in non-ICU locations prior to ICU admission, decreasing Criticality Index values in the ICU, and decreasing Criticality Index values until hospital discharge. Deaths had higher Criticality Index values than survivors, steeper increases prior to the ICU, and worsening values in the ICU. Deaths had a variable course, especially those who died in non-ICU care locations, consistent with deaths associated with both active therapies and withdrawals/limitations of care.

CONCLUSIONS

Severity trajectories measured by the Criticality Index showed strong validity, reflecting the expected clinical course for five diverse patient groups.

Clinical Factors Influencing End-of-Life Care in a Chinese Pediatric Intensive Care Unit: A Retrospective, post-hoc Study

Objective: End-of-life(EOL) care decision-making for infants and children is a painful experience. The study aimed to explore the clinical factors influencing the EOL care to withhold/withdraw life-sustaining treatment (WLST) in Chinese pediatric intensive care unit (PICU). Methods: A 14-year retrospective study (2006-2019) for pediatric patients who died in PICU was conducted. Based on the mode of death, patients were classified into WLST group (death after WLST) and fCPR group (death after full intervention, including cardiopulmonary resuscitation). Intergroup differences in the epidemiological and clinical factors were determined. Results: There were 715 patients enrolled in this study. Of these patients, 442 (61.8%) died after WLST and 273 (38.2%) died after fCPR. Patients with previous hospitalizations or those who had been transferred from other hospitals more frequently chose WLST than fCPR (both P < 0.01), and the mean PICU stay duration was significantly longer in the WLST group (P < 0.05). WLST patients were more frequently complicated with chronic underlying disease, especially tumor (P < 0.01). Sepsis, diarrhea, and cardiac attack (all P < 0.05) were more frequent causes of death in the fCPR group, whereas tumor as a direct cause of death was more frequently seen in the WLST group. Logistic regression analysis demonstrated that previous hospitalization and underlying diseases diagnosed before admission were strongly associated with EOL care with WLST decision (OR: 1.6; P < 0.05 and OR: 1.6; P < 0.01, respectively). Conclusions: Pediatric patients with previous hospitalization and underlying diseases diagnosed before admission were associated with the EOL care to WLST.

How Do Children Die in PICUs Nowadays? A Multicenter Study From Spain

OBJECTIVES

To describe how children currently die in Spanish PICUs, their epidemiologic characteristics and clinical diagnoses.

DESIGN

Prospective multicenter observational study.

SETTING

Eighteen PICUs participating in the MOdos de Morir en UCI Pediátrica-2 (MOMUCI-2) study in Spain.

PATIENTS

Children 1 to 16 years old who died in PICU during 2017 and 2018.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

During the 2-year study period, 250 deaths were recorded. Seventy-three children (29.3%) were younger than 1 year, 131 (52.6%) were between 1 and 12 years old, and 45 (18.1%) were older than 12. One-hundred eighty patients (72%) suffered from an underlying chronic disease, 54 (21.6%) had been admitted to PICU in the past 6 months, and 71 (28.4%) were severely disabled upon admission. Deaths occurred more frequently on the afternoon-night shift (62%) after a median PICU length of stay of 3 days (1-12 d). Nearly half of the patients died (48.8%) after life-sustaining treatment limitation, 71 died (28.4%) despite receiving life-sustaining therapies and cardiopulmonary resuscitation, and 57 (22.8%) were declared brain dead. The most frequent type of life-sustaining treatment limitation was the withdrawal of mechanical ventilation (20.8%), followed by noninitiation of cardiopulmonary resuscitation (18%) and withdrawal of vasoactive drugs (13.7%). Life-sustaining treatment limitation was significantly more frequent in patients with an underlying neurologic-neuromuscular disease, respiratory disease as the cause of admission, a previous admission to PICU in the past 6 months, and severe disability. Multivariate analyses indicated that life-sustaining treatment limitation, chronicity, and poor Pediatric Cerebral Performance Category score were closely related.

CONCLUSIONS

Currently, nearly half of the deaths in Spanish PICUs occur after the withdrawal of life-sustaining treatments. These children are more likely to have had previous admissions to the PICU, be severely disabled or to suffer from chronic diseases. Healthcare professionals who treat critically ill children ought to be aware of this situation and should therefore be prepared and trained to provide the best end-of-life care possible.

Parents' Wishes for What They Had or Had Not Done and Their Coping After Their Infant's or Child's Neonatal Intensive Care Unit/Pediatric Intensive Care Unit/Emergency Department Death

This qualitative study asked 70 mothers and 26 fathers 3 open-ended questions on what they wish they had and had not done and on coping 2, 4, 6, and 13 months after their infant's/child's neonatal intensive care unit/pediatric intensive care unit/emergency department death. Mothers wished they spent more time with the child, chosen different treatments, advocated for care changes, and allowed the child his or her wishes. Fathers wished they had spent more time with the child and gotten care earlier. Mothers wished they had not agreed to child's surgery/treatment, taken her own actions (self-blame), and left the hospital before the death. Fathers wished they had not been so hard on the child, agreed with doctors/treatment, and taken own actions (self-blame). Religious activities, caring for herself, and talking about/with the deceased child were the most frequent mothers' coping strategies; those of the fathers were caring for self and religious activities. Both mothers and fathers wished they had spent more time with their child and had not agreed to surgery/treatments. The most frequent coping was caring for themselves, likely to care for the family and retain employment. Nurses must be sensitive to parents' need for time with their infant/child before and after death and to receive information on child's treatments at levels and in languages they understand.

Treatment limitation and advance planning: Hospital-wide audit of paediatric death

AIM

To examine paediatric deaths following withdrawal or withholding of medical treatment (WWMT) from a hospital-wide perspective and identify changes over a 10 year period.

METHODS

A retrospective review of medical records was conducted for all paediatric inpatient deaths at the Royal Children's Hospital, Melbourne from April 2015 to April 2016, and results were compared to 2007 data from our centre. χ² tests were used for comparisons.

RESULTS

A total of 101 deaths occurred in the inpatient setting in 2015-2016. Most deaths followed WWMT (88/101, 87%) and occurred in children with pre-existing chronic conditions (85/101, 85%). There was a shift to earlier discussions with parents regarding WWMT compared to 10 years prior. Cases where discussions began prior to the last admission increased from 4 to 19% (P = 0.004). There was increased paediatric palliative care (PPC) involvement (10 vs. 37%, P < 0.001), and a slightly greater proportion of children died outside of intensive care (16 vs. 22%, P = 0.25). In 2015-2016, subgroup analysis showed that children who died as inpatients but outside of intensive care were 76% more likely to have PPC involved than those who died in intensive care (P < 0.001). Their families were 51% more likely to have discussed WWMT with medical staff before the last admission (P < 0.001).

CONCLUSIONS

The last decade has seen an increase in PPC involvement and advance discussions around WWMT at our centre. Both of these are associated with death outside of intensive care.

Comparison of End-of-Life Care Practices Between Children With Complex Chronic Conditions and Neonates Dying in an ICU Versus Non-ICUs: A Substudy of the Pediatric End-of-LIfe CAre Needs in Switzerland (PELICAN) Project

OBJECTIVES

To describe and compare characteristics of care provided at the end of life for children with chronic complex conditions and neonates who died in an ICU with those who died outside an ICU.

DESIGN

Substudy of a nation-wide retrospective chart review.

SETTING

Thirteen hospitals, including 14 pediatric and neonatal ICUs, two long-term institutions, and 10 community-based organizations in the three language regions of Switzerland.

PATIENTS

One hundred forty-nine children (0-18 yr) who died in the years 2011 or 2012. Causes of death were related to cardiac, neurologic, oncological, or neonatal conditions.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Demographic and clinical characteristics, therapeutic procedures, circumstances of death, and patterns of decisional processes were extracted from the medical charts. Ninety-three (62%) neonates (median age, 4 d) and children (median age, 23 mo) died in ICU, and 56 (38%) with a median age of 63 months outside ICU. Generally, ICU patients had more therapeutic and invasive procedures, compared with non-ICU patients. Changes in treatment plan in the last 4 weeks of life, such as do-not-resuscitate orders occurred in 40% of ICU patients and 25% of non-ICU patients (p < 0.001). In the ICU, when decision to withdraw life-sustaining treatment was made, time to death in children and newborns was 4:25 and 3:00, respectively. In institutions where it was available, involvement of specialized pediatric palliative care services was recorded in 15 ICU patients (43%) and in 18 non-ICU patients (78%) (p = 0.008).

CONCLUSIONS

This nation-wide study demonstrated that patients with a complex chronic condition who die in ICU, compared with those who die outside ICU, are characterized by fast changing care situations, including when to withdraw life-sustaining treatment. This highlights the importance of early effective communication and shared decision making among clinicians and families.

Performance of Three Mortality Prediction Scores and Evaluation of Important Determinants in Eight Pediatric Intensive Care Units in China

Background: The mortality prediction scores were widely used in pediatric intensive care units. However, their performances were unclear in Chinese patients and there were also no reports based on large sample sizes in China. This study aims to evaluate the performances of three existing severity assessment scores in predicting PICU mortality and to identify important determinants. Methods: This prospective observational cohort study was carried out in eight multidisciplinary, tertiary-care PICUs of teaching hospitals in China. All eligible patients admitted to the PICUs between Aug 1, 2016, and Jul 31, 2017, were consecutively enrolled, among whom 3,957 were included for analysis. We calculated PCIS, PRISM IV, and PELOD-2 scores based on patient data collected in the first 24 h after PICU admission. The in-hospital mortality was defined as all-cause death within 3 months after admission. The discrimination of mortality was assessed using the area under the receiver-operating characteristics curve (AUC) and calibrated using the Hosmer-Lemeshow goodness-of-fit test. Results: A total of 4,770 eligible patients were recruited (median age 18.2 months, overall mortality rate 4.7%, median length of PICU stay 6 days), and 3,957 participants were included in the analysis. The AUC (95% confidence intervals, CI) were 0.74 (0.71-0.78), 0.76 (0.73-0.80), and 0.80 (0.77-0.83) for PCIS, PRISM IV, and PELOD-2, respectively. The Hosmer-Lemeshow test gave a chi-square of 3.16 for PCIS, 2.16 for PRISM IV and 4.81 for PELOD-2 (p ≥ 0.19). Cox regression identified five predictors from the items of scores better associated with higher death risk, with a C-index of 0.83 (95%CI 0.79-0.86), including higher platelet (HR = 1.85, 95% CI 1.59-2.16), invasive ventilation (HR = 1.40, 1.26-1.55), pupillary light reflex (HR = 1.31, 95% CI 1.22-1.42) scores, lower pH (HR 0.89, 0.84-0.94), and extreme PaO₂ (HR 2.60, 95% CI 1.61-4.19 for the 1st quantile vs. 4th quantile) scores. Conclusions: Performances of the three scores in predicting PICU mortality are comparable, and five predictors were identified with better prediction to PICU mortality in Chinese patients.

Epidemiology of Cause of Death in Pediatric Acute Respiratory Distress Syndrome

OBJECTIVES

Investigations of acute respiratory distress syndrome in adults suggest hypoxemia is an uncommon cause of death. However, the epidemiology of death in pediatric acute respiratory distress syndrome is not well characterized. We aimed to describe the cause, mode, and timing of death in pediatric acute respiratory distress syndrome nonsurvivors. We hypothesized that most deaths would be due to nonpulmonary factors, rather than hypoxemia.

DESIGN

Retrospective, decedent-only analysis.

SETTING

Two large, academic PICUs.

PATIENTS

Nonsurvivors with pediatric acute respiratory distress syndrome.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Of 798 subjects with pediatric acute respiratory distress syndrome, there were 153 nonsurvivors (19% mortality). Median time to death was 6 days (interquartile range, 3-13 d) after pediatric acute respiratory distress syndrome onset. Patients dying less than 7 days after pediatric acute respiratory distress syndrome onset had greater illness severity and worse oxygenation. Patients dying less than 7 days were more likely to die of a neurologic cause, including brain death. Patients dying greater than or equal to 7 days after pediatric acute respiratory distress syndrome onset were more commonly immunocompromised. Multisystem organ failure predominated in deaths greater than or equal to 7 days. Withdrawal of therapy was the most common mode of death at all timepoints, accounting for 66% of all deaths. Organ dysfunction was common at time of death, irrespective of cause of death. Refractory hypoxemia accounted for only a minority of pediatric acute respiratory distress syndrome deaths (20%).

CONCLUSIONS

In pediatric acute respiratory distress syndrome, early deaths were due primarily to neurologic failure, whereas later deaths were more commonly due to multisystem organ failure. Deaths from neurologic causes accounted for a substantial portion of nonsurvivors. Refractory hypoxemia accounted for only a minority of deaths. Our study highlights limitations associated with using death as an endpoint in therapeutic pediatric acute respiratory distress syndrome trials.

End-of-life care in the pediatric intensive care unit: Survey in Japan

BACKGROUND

End-of-life (EOL) care is an important topic in critical care medicine, but EOL discussions with families can be difficult and stressful for intensivists. The aim of this study was to clarify the current practices and barriers facing pediatric intensive care unit (PICU) EOL care and to identify the requisites for excellent PICU EOL care in Japan.

METHODS

A survey was conducted in 29 facilities across Japan in 2016. The questionnaire consisted of 19 multiple-choice questions and one open-ended question.

RESULTS

Twenty-seven facilities responded to the survey. Only 19% had educational programs on EOL care for fellows or residents. Although 21 hospitals (78%) had a multidisciplinary palliative care team, only eight of these teams were involved in EOL care in PICUs. Mental health care for health-care providers provided by a psychiatrist was rare (4%). The free comments were categorized as individual, team, environment, legal/ethics, or culture. Commonly raised individual issues included "lack of experience and knowledge about EOL care", "fear of making the decision to end care", and "reluctance to be involved in EOL care because of its complex process". Team issues included "insufficient frequency of conferences" and "non-multidisciplinary approach". Legal and ethics issues were "lack of legal support" and "fear of lawsuits".

CONCLUSIONS

This study is the first to investigate the current conditions and barriers in PICU EOL care in Japan. Most of the facilities involved were not satisfied with current practices. A need was identified for relevant educational programs, as well as the importance of multidisciplinary and legal support.

Integration of Pediatric Palliative Care Into Cardiac Intensive Care: A Champion-Based Model

Integration of pediatric palliative care (PPC) into management of children with serious illness and their families is endorsed as the standard of care. Despite this, timely referral to and integration of PPC into the traditionally cure-oriented cardiac ICU (CICU) remains variable. Despite dramatic declines in mortality in pediatric cardiac disease, key challenges confront the CICU community. Given increasing comorbidities, technological dependence, lengthy recurrent hospitalizations, and interventions risking significant morbidity, many patients in the CICU would benefit from PPC involvement across the illness trajectory. Current PPC delivery models have inherent disadvantages, insufficiently address the unique aspects of the CICU setting, place significant burden on subspecialty PPC teams, and fail to use CICU clinician skill sets. We therefore propose a novel conceptual framework for PPC-CICU integration based on literature review and expert interdisciplinary, multi-institutional consensus-building. This model uses interdisciplinary CICU-based champions who receive additional PPC training through courses and subspecialty rotations. PPC champions strengthen CICU PPC provision by (1) leading PPC-specific educational training of CICU staff; (2) liaising between CICU and PPC, improving use of support staff and encouraging earlier subspecialty PPC involvement in complex patients' management; and (3) developing and implementing quality improvement initiatives and CICU-specific PPC protocols. Our PPC-CICU integration model is designed for adaptability within institutional, cultural, financial, and logistic constraints, with potential applications in other pediatric settings, including ICUs. Although the PPC champion framework offers several unique advantages, barriers to implementation are anticipated and additional research is needed to investigate the model's feasibility, acceptability, and efficacy.

Compassionate deactivation of ventricular assist devices in children: A survey of pediatric ventricular assist device clinicians' perspectives and practices

OBJECTIVES

This study's objective was to investigate compassionate ventricular assist device deactivation (VADdeact) in children from the perspective of the pediatric heart failure provider.

BACKGROUND

Pediatric VAD use is a standard therapy for advanced heart failure. Serious adverse events may affect relative benefit of continued support, leading to consideration of VADdeact. Perspectives and practices regarding VADdeact have been studied in adults but not in children.

METHODS

A web-based anonymous survey of clinicians for pediatric VAD patients (<18 years) was sent to list-serves for the ISHLT Pediatric Council, the International Consortium of Circulatory Assist Clinicians Pediatric Taskforce, and the Pediatric Cardiac Intensivist Society.

RESULTS

A total of 106 respondents met inclusion criteria of caring for pediatric VAD patients. Annual VAD volume per clinician ranged from <4 (33%) to >9 (20%). Seventy percent of respondents had performed VADdeact of a child. Response varied to VADdeact requests by parent or patient and was influenced by professional degree and region of practice. Except for the scenario of intractable suffering, no consensus on VADdeact appropriateness was reported. Age of child thought capable of making informed requests for VADdeact varied by subspecialty. The majority of respondents (62%) do not feel fully informed of relevant legal issues; 84% reported that professional society supported guidelines for VADdeact in children had utility.

CONCLUSION

There is limited consensus regarding indications for VADdeact in children reported by pediatric VAD provider survey respondents. Knowledge gaps related to legal issues are evident; therefore, professional guidelines and educational resources related to pediatric VADdeact are needed.

Epidemiology of Brain Death in Pediatric Intensive Care Units in the United States

IMPORTANCE

Guidelines for declaration of brain death in children were revised in 2011 by the Society of Critical Care Medicine, American Academy of Pediatrics, and Child Neurology Society. Despite widespread medical, legal, and ethical acceptance, ongoing controversies exist with regard to the concept of brain death and the procedures for its determination.

OBJECTIVES

To determine the epidemiology and clinical characteristics of pediatric patients declared brain dead in the United States.

DESIGN, SETTING, AND PARTICIPANTS

This study involved the abstraction of all patient deaths from the Virtual Pediatric Systems national multicenter database between January 1, 2012, and June 30, 2017. All patients who died in pediatric intensive care units (PICUs) were included.

MAIN OUTCOMES AND MEASURES

Patient demographics, preillness developmental status, severity of illness, cause of death, PICU medical and physical length of stay, and organ donation status, as well as comparison between patients who were declared brain dead vs those who sustained cardiovascular or cardiopulmonary death.

RESULTS

Of the 15 344 patients who died, 3170 (20.7%) were declared brain dead; 1861 of these patients (58.7%) were male, and 1401 (44.2%) were between 2 and 12 years of age. There was a linear association between PICU size and number of patients declared brain dead per year, with an increase of 4.27 patients (95% CI, 3.46-5.08) per 1000-patient increase in discharges (P < .001). The median (interquartile range) of patients declared brain dead per year ranged from 1 (0-3) in smaller PICUs (defined as those with <500 discharges per year) to 10 (7-15) for larger PICUs (those with 2000-4000 discharges per year). The most common causative mechanisms of brain death were hypoxic-ischemic injury owing to cardiac arrest (1672 of 3170 [52.7%]), shock and/or respiratory arrest without cardiac arrest (399 of 3170 [12.6%]), and traumatic brain injury (634 of 3170 [20.0%]). Most patients declared brain dead (681 of 807 [84.4%]) did not have preexisting neurological dysfunction. Patients who were organ donors (1568 of 3144 [49.9%]) remained in the PICU longer after declaration of brain death compared with those who were not donors (median [interquartile range], 29 [6-41] hours vs 4 [1-8] hours; P < .001).

CONCLUSIONS AND RELEVANCE

Brain death occurred in one-fifth of PICU deaths. Most children declared brain dead had no preexisting neurological dysfunction and had an acute hypoxic-ischemic or traumatic brain injury. Brain death determinations are infrequent, even in large PICUs, emphasizing the importance of ongoing education for medical professionals and standardization of protocols to ensure diagnostic accuracy and consistency.

Characteristics and Outcomes of Critical Illness in Children With Feeding and Respiratory Technology Dependence

OBJECTIVES

Children with dependence on respiratory or feeding technologies are frequently admitted to the PICU, but little is known about their characteristics or outcomes. We hypothesized that they are at increased risk of critical illness-related morbidity and mortality compared with children without technology dependence.

DESIGN

Secondary analysis of prospective, probability-sampled cohort study of children from birth to 18 years old. Demographic and clinical characteristics were assessed. Outcomes included death, survival with new morbidity, intact survival, and survival with functional status improvement.

SETTING

General and cardiovascular PICUs at seven participating children's hospitals as part of the Trichotomous Outcome Prediction in Critical Care study.

SUBJECTS

Children from birth to 18 years of age as part of the Trichotomous Outcome Prediction in Critical Care study.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Children with technology dependence composed 19.7% (1,989/10,078) of PICU admissions. Compared with those without these forms of technology dependence, these children were younger, received more ICU-specific therapeutics, and were more frequently readmitted to the ICU. Death occurred in 3.7% of technology-dependent patients (n = 74), and new morbidities developed in 4.5% (n = 89). Technology-dependent children who developed new morbidities had higher Pediatric Risk of Mortality scores and received more ICU therapies than those who did not. A total of 3.0% of technology-dependent survivors (n = 57) showed improved functional status at hospital discharge.

CONCLUSIONS

Children with feeding and respiratory technology dependence composed approximately 20% of PICU admissions. Their new morbidity rates are similar to those without technology dependence, which contradicts our hypothesis that children with technology dependence would demonstrate worse outcomes. These comparable outcomes, however, were achieved with additional resources, including the use of more ICU therapies and longer lengths of stay. Improvement in functional status was seen in some technology-dependent survivors of critical illness.