In a neonatal and pediatric intensive care unit population, ventilation in neurally adjusted ventilatory assist mode was associated with improved patient-ventilator synchrony and lower peak airway pressure when compared with pressure-support ventilation with a pneumatic trigger. Ventilating patients in this new mode seem to be safe and well tolerated.

Reporting of study results using the outcome "time maintained at target sedation score' for clonidine or dexmedetomidine was poor. Only one trial compared clonidine with midazolam using a sedation score outcome. This study was underpowered to demonstrate equivalence to midazolam as a sedative. The adjunctive use of clonidine demonstrated significant decreases in opioid use in neonates but not in older groups. Clonidine dose was inconsistent between studies. Dexmedetomidine demonstrated an opioid-sparing effect in two small trials. Further studies, including dose-finding studies and studies with sedation score-based outcomes, are needed.

There are an increasing number of children who are dependent on medical technology to sustain their lives. Although significant research on this issue is taking place, the terminology used is variable and the concept of technology dependence is ill-defined. A systematic concept analysis was conducted examining the attributes, antecedents, and consequences of the concept of technology dependent, as portrayed in the literature. We found that this concept refers to a wide range of clinical technology to support biological functioning across a dependency continuum, for a range of clinical conditions. It is commonly initiated within a complex biopsychosocial context and has wide ranging sequelae for the child and family, and health and social care delivery. Conclusion: The term technology dependent is increasingly redundant. It objectifies a heterogenous group of children who are assisted by a myriad of technology and who adapt to, and function with, this assistance in numerous ways.

Summary Introduction The safety of cuffed endotracheal tubes in the neonatal and critically ill pediatric population continues to be questioned due to the theoretical risk of acquired subglottic stenosis. The incidence of acquired subglottic stenosis in the high‐risk mixed surgical and medical critically ill pediatric cohort using high‐volume, low‐pressure cuffed endotracheal tube policy has not yet been described. The aim of our study was to describe and evaluate the use and complication rate of cuffed ETT's in our unit over a 5‐year period. Methods We defined clinically significant subglottic stenosis as a positive stenotic finding of endotracheal tube‐related pathology on a microlaryngoscopy within 6 months of invasive ventilation. All patients admitted through our pediatric critical care unit from January 10, 2012 to January 25, 2017 were matched against our theater management system database for the same period. We reviewed all matching patients’ baseline demographics, comorbidities, intubation/endotracheal tube history, and subsequent surgical management. Results Of 5309 pediatric critical care unit admissions (61% ventilated) and 1251 microlaryngoscopies, 23 children had endoscopic findings of clinically significant endotracheal tube‐related pathology, reflecting 0.68% of all intubated patients. Eight patients developed acquired subglottic stenosis. All those requiring major surgical correction were ex‐premature neonates initially intubated with uncuffed tubes in an external neonatal intensive care. No patient initially intubated with a cuffed endotracheal tube developed subglottic stenosis requiring surgical correction. Conclusion We report no single case of acquired subglottic stenosis in our cohort that required major surgical correction from a cuffed endotracheal tube during a 5‐year period. The introduction of a policy of appropriate placement and maintenance of low‐pressure, high‐volume cuffed endotracheal tubes in the pediatric critical care unit was not associated with an increased rate of endotracheal tube‐related subglottic trauma.

Background Clonidine is in widespread off‐label use as a sedative in mechanically ventilated children, despite limited evidence of efficacy. A variety of dosage regimens have been utilized in clinical practice and in research studies. Within these studies, clonidine has inconsistently shown useful sedation properties. One of the reasons attributed to the inconsistent signs of efficacy is suboptimal clonidine dosing. Aims This study aims to propose a target plasma concentration and simulate clonidine pharmacokinetics (PK) in a cohort of mechanically ventilated children to evaluate the adequacy of clonidine dosage regimens used in clinical practice and research studies. Methods A literature search was undertaken to identify a clonidine pharmaockinetic‐pharmacodynamics (PKPD) model, from which a target concentration for sedation was defined. Using a previously published PK model, the projected plasma concentrations of 692 mechanically ventilated children (demographics taken from a recent study) were generated. Doses from recently published clinical studies were investigated. Adequacy of each regimen to attain therapeutic clonidine plasma concentrations was assessed. Results A target plasma concentration of above 2 µg/L was proposed. Nine dosage regimens (four intravenous boluses, four intravenous infusions, and one nasogastric route boluses) were evaluated ranging from 1 µg/kg eight hourly intravenous boluses to a regimen up to 3 µg/kg/hr continuous intravenous infusion. Regimens with a loading dose of 2 µg/kg followed by variable continuous infusion of up to 2 µg/kg/hr titrated according to sedation score appear most suitable. Doses should be halved in neonates. Conclusion The variety of dosage regimens in the previous studies of clonidine along with difficulties in the conduct of interventional studies may have contributed to the lack of efficacy data to support its use. Simulations of clonidine plasma concentrations based on known population pharmacokinetic parameters suggest a loading dose followed by higher than current practice maintenance dose infusion is required to achieve adequate steady‐state concentrations early in treatment. Further PKPD studies will aid in the determination of the optimal clonidine dosage regimen.

BackgroundDecision-making in initiating life-sustaining health technology is complex and often conducted at time-critical junctures in clinical care. Many of these decisions have profound, often irreversible, consequences for the child and family, as well as potential benefits for functioning, health and quality of life. Yet little is known about what influences these decisions. A systematic review of reasoning identified the range of reasons clinicians give in the literature when initiating technology dependence in a child, and as a result helps determine the range of influences on these decisions.MethodsMedline, EMBASE, CINAHL, PsychINFO, Web of Science, ASSIA and Global Health Library databases were searched to identify all reasons given for the initiation of technology dependence in a child. Each reason was coded as a broad and narrow reason type, and whether it supported or rejected technology dependence.Results53 relevant papers were retained from 1604 publications, containing 116 broad reason types and 383 narrow reason types. These were grouped into broad thematic categories: clinical factors, quality of life factors, moral imperatives and duty and personal values; and whether they supported, rejected or described the initiation of technology dependence. The majority were conceptual or discussion papers, less than a third were empirical studies. Most discussed neonates and focused on end-of-life care.ConclusionsThere is a lack of empirical studies on this topic, scant knowledge about the experience of older children and their families in particular; and little written on choices made outside ‘end-of-life’ care. This review provides a sound basis for empirical research into the important influences on a child’s potential technology dependence.

Aim: Amplitude integrated electroencephalography (aEEG) is a bedside neuromonitoring tool, standard within neonatal critical care provision. Its application in children is increasing but normative data underpinning such use are lacking. We present a dataset of normative aEEG values for children aged 2 months to 16 years. Methods: This retrospective observational cohort study derives aEEG normative amplitude characteristics from electroencephalograms (EEGs) recorded in Children's Health Ireland at Crumlin. aEEG was derived from 350 normal EEGs, recorded in children aged 2 months to 16 years. Supplementary aEEGs were derived from children with abnormal EEG traces. Median upper and lower margin amplitudes and bandwidth were calculated from 5 min waking and sleeping EEG epochs. Results: aEEG amplitudes vary with age and state, increasing over the first 2 years of life before diminishing. Upper and lower margin amplitudes and bandwidth are greater during sleep for children <6 years. Reference ranges may be cohorted into two groups (upper and lower reference limits; <6 years -38 μV/7 μV awake, 54 μV/10 μV asleep; >6 years -33 μV/5 μV awake, 36 μV/6 μV asleep). Conclusion: aEEG traces evolve with age in childhood and differ from neonatal values. We provide a comprehensive set of aEEG normatives to facilitate clinical interpretation in older children.

Introduction: Evidence for continuous EEG monitoring in the pediatric intensive care unit (PICU) is increasing. However, 24/7 access to EEG is not routinely available in most centers, and clinical management is often informed by more limited EEG resources. The experience of EEG was reviewed in a tertiary PICU where 24/7 EEG cover is unavailable. Methods: Retrospective EEG and clinical review of 108 PICU patients. Correlations were carried out between EEG and clinical variables including mortality. The role of EEG in clinical decision making was documented. Results: One hundred ninety-six EEGs were carried out in 108 PICU patients over 2.5 years (434 hours of recording). After exclusion of 1 outlying patient with epileptic encephalopathy, 136 EEGs (median duration, 65 minutes; range, 20 minutes to 4 hours 40 minutes) were included. Sixty-two patients (57%) were less than 12 months old. Seizures were detected in 18 of 107 patients (17%); 74% of seizures were subclinical; 72% occurred within the first 30 minutes of recording. Adverse EEG findings were associated with high mortality. Antiepileptic drug use was high in the studied population irrespective of EEG seizure detection. Prevalence of epileptiform discharges and EEG seizures diminished with increasing levels of sedation. Conclusions: EEG provides important diagnostic information in a large proportion of PICU patients. In the absence of 24/7 EEG availability, empirical antiepileptic drug utilization is high.