Off-hours admission to pediatric intensive care and mortality

Off-Hours Intensive Care Unit Transfer Is Associated With Increased Mortality and Failure to Rescue

BACKGROUND

Cardiac postoperative intensive care unit (ICU) beds are a limited resource, and when a patient no longer requires this level of care they are quickly transferred out. We hypothesized that complications and ICU readmission increased when transfer occurred during off-hours compared with regular work hours.

METHODS

From 2010 to 2021, patients who underwent a Society of Thoracic Surgeons index operation at a single center were assigned a group based on their ICU transfer time, defined as when they physically arrived on the acute care floor. Patients were stratified into off-hours vs regular hours by their transfer time. Off-hours was defined as 9 pm to 5 am. Risk-adjusted multivariable logistic regression analyzed the association of ICU readmission, postoperative complications, operative mortality, and failure to rescue by group.

RESULTS

The cohort included 5951 patients (off-hours n = 292 [4.9%], regular-hours n = 5659 [95.1%]). Patients in the off-hours group had significantly greater odds of risk-adjusted ICU readmission (odds ratio 1.99, 95% CI 1.25-3.04, P < .002) and mortality (odds ratio 3.88, 95% CI 2.27-6.33, P < .001). In the major complications subgroup (Off-hours n = 55, Regular-hours n = 603), Off-hours transfer was associated with increased mortality (failure to rescue) (odds ratio 3.05, 95% CI 1.58-5.69, P = .001).

CONCLUSIONS

Off-hours ICU to floor transfer was associated with increased postoperative complications, ICU readmission, and mortality, suggesting that the timing of ICU transfer may impact outcomes. This elucidates targets for quality and process improvement for our center and others facing the same resource constraints.

On-Hours Compared to Off-Hours Pediatric Extracorporeal Life Support Initiation in the United States Between 2009 and 2018-An Analysis of the Extracorporeal Life Support Organization Registry

We aimed to investigate whether there are differences in outcome for pediatric patients when extracorporeal life support (ECLS) is initiated on-hours compared with off-hours.

DESIGN

Retrospective cohort study.

SETTING

Ten-year period (2009-2018) in United States centers, from the Extracorporeal Life Support Organization registry.

PATIENTS

Pediatric (>30 d and <18 yr old) patients undergoing venovenous and venoarterial ECLS.

INTERVENTIONS

The primary predictor was on versus off-hours cannulation. On-hours were defined as 0700-1859 from Monday to Friday. Off-hours were defined as 1900-0659 from Monday to Thursday or 1900 Friday to 0659 Monday or any time during a United States national holiday. The primary outcome was inhospital mortality. The secondary outcomes were complications related to ECLS and length of hospital stay.

MEASUREMENTS AND MAIN RESULTS

In a cohort of 9,400 patients, 4,331 (46.1%) were cannulated on-hours and 5,069 (53.9%) off-hours. In the off-hours group, 2,220/5,069 patients died (44.0%) versus 1,894/4,331 (44.1%) in the on-hours group (p = 0.93). Hemorrhagic complications were lower in the off-hours group versus the on-hours group (hemorrhagic 18.4% vs 21.0%; p = 0.002). After adjusting for patient complexity and other confounders, there were no differences between the groups in mortality (odds ratio [OR], 0.95; 95% CI, 0.85-1.07; p = 0.41) or any complications (OR, 1.02; 95% CI, 0.89-1.17; p = 0.75).

CONCLUSIONS

Survival and complication rates are similar for pediatric patients when ECLS is initiated on-hours compared with off-hours. This finding suggests that, in aggregate, the current pediatric ECLS infrastructure in the United States provides adequate capabilities for the initiation of ECLS across all hours of the day.

Does admission time matter in a paediatric intensive care unit? A prospective cohort study

AIM

Studies assessing the association between admission time to paediatric intensive care unit (PICU) and mortality are sparse with conflicting results. We aimed to evaluate the impact of time of admission on PICU mortality within 48 h after admission.

METHODS

This was a single-centre prospective cohort. We collected data from all consecutive children aged 1 month to 16 years over 10 years.

RESULTS

We included a total of 1368 admissions, with a PICU mortality of 6.6%. Compared with daytime admissions, the overall mortality rate (5.3% vs. 8.5%, P = 0.026) and the mortality within 48 h after admission were higher for those admitted during night-time (2% vs. 4.2%, P = 0.021). There were no differences between mortality rates and the day of admission (weekend admissions vs. weekday admissions). The adjusted odds of death within 48 h after admission was 2.5 (95% confidence interval = 1.22-5.24, P = 0.012) for patients admitted at night-time. A secondary analysis assessing trends in mortality rates during admission showed that the last 5 years of study were more responsible for the chances of death within 48 h (odds ratio = 7.6, 95% confidence interval = 1.91-30.17, P = 0.0039).

CONCLUSION

Admission to the PICU during night shifts was strongly associated with death compared to daytime admissions. A time analysis of the moment of admission is necessary as a metric of quality of care to identify the interruption or improvement in the continuity of care. Further studies are needed to assess the modified contributing factors.

Association between off-hour admission of critically ill children to intensive care units and mortality in a Japanese registry

Limited information exists regarding the effect of off-hour admission among critically ill children. To evaluate whether children admitted to intensive care units (ICUs) in off-hour have worse outcomes, we conducted a cohort study in 2013–2018 in a multicenter registry in Japan. Pediatric (age < 16 years) unplanned ICU admissions were divided into regular-hour (daytime on business days) or off-hour (others). Mortality and changes in the functional score at discharge from the unit were compared between the two groups. We established multivariate logistic regression models to examine the independent association between off-hour admission and outcomes. Due to the small number of outcomes, two different models were used. There were 2512 admissions, including 757 for regular-hour and 1745 for off-hour. Mortality rates were 2.4% (18/757) and 1.9% (34/1745) in regular-hour and off-hour admissions, respectively. There was no significant association between off-hour admission and mortality both in model 1 adjusting for age, sex, and Pediatric Index of Mortality 2 (adjusted odds ratio [aOR] 0.89, 95% confidence interval [CI] 0.46–1.72) and in model 2 adjusting for propensity score predicting off-hour admission (aOR 1.05, 95% CI 0.57–1.91). In addition, off-hour admission did not show an independent association with deterioration of functional score.

Challenging Convention: Daytime Versus Nighttime Extubation in the Pediatric ICU

BACKGROUND

The majority of pediatric extubations occur during day shift hours. There is a time-dependent relationship between mechanical ventilation duration and complications. It is not known if extubation shift (day vs night) correlates with pediatric extubation outcomes. Pediatric ventilation duration may be unnecessarily prolonged if extubation is routinely delayed until day shift hours.

METHODS

We hypothesized that extubation failure would not correlate with shift of extubation and that ventilation duration at first extubation and that length of stay in the pediatric ICU (PICU) would be shorter for children extubated at night. This was a retrospective cohort study within one tertiary care, 24-bed, academic PICU.

RESULTS

582 ventilation encounters were included, representing 517 unique subjects. Status epilepticus was a more common diagnosis among night shift extubations (P = .005), whereas surgical airway conditions were more common among day shift extubations (P = .02). Mechanical ventilation duration at first extubation (37.6 vs 62.5 h, P < .001) and length of stay in the PICU (2.8 vs 4.5 d, P < .001) were shorter for night shift extubations. The extubation failure rate was 10.3% for day shift and 8.1% for night shift (P = .40). Logistic regression modeling at the level of the unique subject indicated that extubation shift was not associated with extubation failure (P = .44). The majority of re-intubation events occurred on the shift opposite of extubation. There was no difference in complications according to shift of re-intubation (P = .72).

CONCLUSIONS

Extubation failure was not independently associated with extubation shift in this single-center study. Ventilation liberation should be considered at the first opportunity dictated by clinical data and patient-specific factors rather than by the time of day at centers with similar resources.

A Respiratory Therapist-Driven Pathway Improves Timeliness of Extubation Readiness Assessment in a Single PICU

OBJECTIVES

Our smart aim was to decrease the time between when a mechanically ventilated patient was eligible for and when they underwent their first extubation readiness test (delta time) by 50% within 3 months through the development and implementation of a respiratory therapist-driven extubation readiness test pathway.

DESIGN

Quality improvement project.

SETTING

Single, tertiary care, 24-bed, academic PICU.

PATIENTS

Pediatric patients admitted to the PICU and requiring mechanical ventilation for a primary pulmonary process.

INTERVENTIONS

We developed an extubation readiness test pathway that consisted of an eligibility screen and a standard testing process. Patients were screened every 3 hours. Upon passing the screen and being cleared by a prescriber, a test was initiated. No clinical management was dictated to prescribers.

MEASUREMENTS AND MAIN RESULTS

The preintervention and intervention cohorts included 109 and 43 mechanical ventilation courses, respectively. The mean delta time decreased from 33.77 hours to 2.92 hours after pathway implementation (p = 0.000). The medical length of stay decreased from 196.6 to 177.2 hours (p = 0.05). There were no statistically significant changes in duration of mechanical ventilation until first extubation (112.9 vs 122.3 hr; p = 0.651) and 48-hour extubation failure rate (16.5% vs 4.8%; p = 0.056). The sensitivity and positive predictive value for the extubation readiness test were 89.5% and 94.4%, respectively. The mean for all process compliance measures was 91.5%.

CONCLUSIONS

A respiratory therapist-driven extubation readiness test pathway can be safely implemented in a large, academic PICU. The pathway resulted in earlier extubation readiness testing without increasing key balancing measures-the duration of mechanical ventilation, PICU length of stay, or the extubation failure rate.

Time of Pediatric Intensive Care Unit Admission and Mortality: A Systematic Review and Meta-Analysis

The aim of this study was to determine the association between the time of admission (day, night, and/or weekends) and mortality among critically ill children admitted to a pediatric intensive care unit (PICU). Electronic databases that were searched include PubMed, Embase, Web of Science, CINAHL (Cumulative Index of Nursing and Allied Health Literature), Ovid, and Cochrane Library since inception till June 15, 2018. The article included observational studies reporting inhospital mortality and the time of admission to PICU limited to patients aged younger than 18 years. Meta-analysis was performed by a frequentist approach with both fixed and random effect models. The GRADE (Grading of Recommendations Assessment, Development, and Evaluation) approach was used to evaluate the quality of evidence. Ten studies met our inclusion criteria. Five studies comparing weekday with weekend admissions showed better odds of survival on weekdays (odds ratio [OR]: 0.77; 95% confidence interval [CI]: 0.60-0.99). Pooled data of four studies showed that odds of mortality were similar between day and night admissions (OR: 0.93; 95% CI: 0.77-1.13). Similarly, three studies comparing admission during off-hours versus regular hours did not show better odds of survival during regular hours (OR: 0.77; 95% CI: 0.57-1.05). Heterogeneity was significant due to variable sample sizes and time period. Inconsistency in adjusting for confounders across the included studies precluded us from analyzing the adjusted risk of mortality. Weekday admissions to PICU were associated with lesser odds of mortality. No significant differences in the odds of mortality were found between admissions during day versus night or between admission during regular hours and that during off-hours. However, the evidence is of low quality and requires larger prospective studies.

Paediatric health care access in community health centres is associated with survival for critically ill children who undergo inter-facility transport: A province-wide observational study

Background

Diverse settlement makes inter-facility transport of critically ill children a necessary part of regionalized health care. There are few studies of outcomes and health care services use of this growing population.

Methods

A retrospective study evaluated the frequency of transports, health care services use, and outcomes of all critically ill children who underwent inter-facility transport to a paediatric intensive care unit (PICU) in Ontario from 2004 to 2012. The primary outcome was PICU mortality. Secondary outcomes were 24-hour and 6-month mortality, PICU and hospital lengths of stay, and use of therapies in the PICU.

Results

The 4,074 inter-facility transports were for children aged median (IQR) 1.6 (0.1 to 8.3) years. The rate of transports increased from 15 to 23 per 100,000 children. There were 233 (5.7%) deaths in PICU and an additional 78 deaths (1.9%) by 6 months. Length of stay was median (IQR) 2 (1 to 5) days in PICU and 7 (3 to 14) days in the receiving hospital. Lower PICU mortality was independently associated with prior acute care contact (odds ratio [OR]=0.3, 95% confidence interval [CI]: 0.2 to 0.6) and availability of paediatric expertise at the referral hospital (OR=0.7, 95% CI: 0.5 to 1.0).

Conclusions

We found that in Ontario, children undergoing inter-facility transport to PICUs are increasing in number, consume significant acute care resources, and have a high PICU mortality. Access to paediatric expertise is a potentially modifiable factor that can impact mortality and warrants further evaluation.

Emergent and Urgent Craniotomies in Pediatric Patients: Resource Utilization and Cost Analysis

BACKGROUND

Pediatric neurosurgeons are occasionally tasked with performing surgery expeditiously to preserve a child's neurologic faculties and life.

OBJECTIVE

This study examines the etiologies, outcomes, and costs for urgent or emergent craniotomies at a Level I Pediatric Trauma center over a 7-year time period.

METHODS

A retrospective review was conducted for each patient who underwent an emergent or urgent craniotomy within 24 hours of presentation between January 2010 and April 2017. Demographic, clinical, and surgical details were recorded for a total of 48 variables. Any readmission within 90 days was analyzed. Hospital charges for each admission and readmission were collected and adjusted for inflation to October 2018 values.

RESULTS

Among the 223 children who underwent urgent or emergent craniotomies, the majority were admitted for traumatic injuries (n = 163, 73.1%). The most common traumatic mechanism was fall (n = 51, 22.9%), and the most common non-traumatic cause was tumor (n = 21, 9.4%). Overall, craniotomies were typically performed for hematoma evacuation of one type or combination (n = 115, 51.6%) during off-peak times (n = 178, 79.8%). Seventy-seven (34.5%) subjects experienced 1 or more postoperative events, 22 of whom returned to the operating room. There were 13 (5.8%) and 33 (14.8%) readmissions within 30 days and 90 days of discharge, respectively. Non-trauma patients (compared with trauma patients) and polytrauma (compared with isolated head injury) had greater healthcare needs, resulting in higher charges.

CONCLUSION

Most urgent or emergent pediatric craniotomies were performed for the treatment of traumatic injuries involving hematoma evacuation, but non-traumatic patients were more complex requiring greater resources.

Paediatric outcomes and timing of admission

Studies of adult patients have demonstrated that weekend admissions compared with weekday admissions had a significantly higher hospital mortality rate. We have reviewed the literature to determine if the timing of admission, for example, weekend or weekday, influenced mortality and morbidity in children. Seventeen studies reported the effect of timing of admission on mortality, and only four studies demonstrated an increase in those admitted at the weekend. Meta-analysis of the results of 15 of the studies demonstrated there was no significant weekend effect. There was, however, considerable heterogeneity in the studies. There were two large UK studies: one reported an increased mortality only for planned weekend admissions likely explained by planned admissions for complex conditions and the other showed no significant weekend effect. Two studies, one of which was large (n=2913), reported more surgical complications in infants undergoing weekend oesophageal atresia and trachea-oesophageal repair. Medication errors have also been reported to be more common at weekends. Five studies reported the effect of length of stay, meta-analysis demonstrated a significantly increased length of stay following a weekend admission, the mean difference was approximately 1 day. Those data, however, should be interpreted with the caveat that there was no adjustment in all of the studies for differences in disease severity. We conclude that weekend admission overall does not increase mortality but may be associated with a longer length of stay and, in certain conditions, with greater morbidity.

Off-Hours Admissions and Mortality in PICU Without 24-Hour Onsite Intensivist Coverage

OBJECTIVE

To evaluate whether the off-hours admission has any effect on risk-adjusted mortality and length of stay for nonelective patients admitted to a pediatric intensive care unit (PICU) without 24-hour in-house intensivist coverage.

DESIGN

Prospective cohort study.

SETTING

A 34-bed tertiary PICU.

PATIENTS

All consecutive nonelective patients aged 0 to 14 years admitted from January 2012 to June 2015.

MEASUREMENTS AND MAIN RESULTS

A total of 1254 patients were nonelectively admitted to the PICU. They were categorized according to time of PICU admission as either office hours (07:30 to 16:30 from Sunday to Thursday and whenever an intensivist is present in the ICU) or off-hours (16:30 to 07:30, Friday and Saturday and public holidays). Standardized mortality rates (SMRs) of patients admitted during off-hours were compared to SMRs of patients admitted during office hours using Pediatric Risk of Mortality (PRISM2) score. Multivariate logistic regression was used to assess the effect of time of admission on outcome after adjustment for severity of illness using the PRISM2. The mortality observed in the office-hours group was 9.4% and in the off-hours group was 8.1%. The PRISM2-based SMR was 0.83 (95% confidence interval [CI]: 0.43-1.47) for the office-hours group and 0.68 (95% CI: 0.34-1.36) for the off-hours group. No significant differences in length of ICU stay or duration of mechanical ventilation were observed between patients admitted during off-hours and those admitted during office hours. In the logistic regression model, off-hours admission was not significantly associated with a higher mortality (odds ratio: 0.85, 95% CI: 0.57-1.27; P = .44).

CONCLUSIONS

The absence of an in-house intensivist during off-hours is not associated with an increase in mortality, length of ICU stay, or duration of mechanical ventilation for patients admitted to our pediatric ICU.

Time of Admission to the PICU and Mortality

OBJECTIVES

To evaluate for any association between time of admission to the PICU and mortality.

DESIGN

Retrospective cohort study of admissions to PICUs in the Virtual Pediatric Systems (VPS, LLC, Los Angeles, CA) database from 2009 to 2014.

SETTING

One hundred and twenty-nine PICUs in the United States.

PATIENTS

Patients less than 18 years old admitted to participating PICUs; excluding those post cardiac bypass.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

A total of 391,779 admissions were included with an observed PICU mortality of 2.31%. Overall mortality was highest for patients admitted from 07:00 to 07:59 (3.32%) and lowest for patients admitted from 14:00 to 14:59 (1.99%). The highest mortality on weekdays occurred for admissions from 08:00 to 08:59 (3.30%) and on weekends for admissions from 09:00 to 09:59 (4.66%). In multivariable regression, admission during the morning 06:00-09:59 and midday 10:00-13:59 were independently associated with PICU death when compared with the afternoon time period 14:00-17:59 (morning odds ratio, 1.15; 95% CI, 1.04-1.26; p = 0.006 and midday odds ratio, 1.09; 95% CI; 1.01-1.18; p = 0.03). When separated into weekday versus weekend admissions, only morning admissions were associated with increased odds of death on weekdays (odds ratio, 1.13; 95% CI, 1.01-1.27; p = 0.03), whereas weekend admissions during the morning (odds ratio, 1.33; 95% CI, 1.14-1.55; p = 0.004), midday (odds ratio, 1.27; 95% CI, 1.11-1.45; p = 0.0006), and afternoon (odds ratio, 1.17; 95% CI, 1.03-1.32; p = 0.01) were associated with increased risk of death when compared with weekday afternoons.

CONCLUSIONS

Admission to the PICU during the morning period from 06:00 to 09:59 on weekdays and admission throughout the day on weekends (06:00-17:59) were independently associated with PICU death as compared to admission during weekday afternoons. Potential contributing factors deserving further study include handoffs of care, rounds, delays related to resource availability, or unrecognized patient deterioration prior to transfer.

Assessing nursing quality in paediatric intensive care units: a cross-sectional study in China

BACKGROUND

Nursing-sensitive indicators are considered effective tools for improving the quality of care in hospitals. However, these have not been used in paediatric intensive care units (PICUs) in China.

AIM

To develop nursing-sensitive indicators for PICUs and to assess the quality of nursing in PICUs in China based on the nursing-sensitive indicators.

DESIGN

Multi-centre, cross-sectional study.

METHODS

Structure, process and outcome indicators were developed and measured from 1 January to 31 March 2014 in seven PICUs in China.

RESULTS

The structure indicators showed that one nurse cared for an average of 2·8 patients in a PICU, and 44% of nurses had a bachelor's degree. The process indicators revealed that hand-washing compliance varied across PICUs, whereas pain management and physical restraint have not been adequately addressed in China. The outcome indicators revealed that the incidence rates of ventilator-associated pneumonia and central-line-associated blood stream infections were 2·96 and 0·7, respectively, per 1000 device days. Patients were intubated for a total of 4392 mechanical ventilator days, and 32 patients (7·29‰) had an unplanned extubation. Nurses were moderately satisfied in their jobs (3·1 ± 0·3), and parents reported that nurses provide high quality of care.

CONCLUSIONS

This study developed and used nursing-sensitive indicators to assess the quality of nursing in PICUs in China, which provided a reference for national and international comparisons of nursing quality in PICUs. Nursing staffing levels and education should be improved. Pain management and physical restraints should be regulated in China's PICUs. Nurse managers need to explore staff attitudes towards implementation of family-centred care. The development of a national database of nursing quality indicators can contribute to quality and safety improvement.

RELEVANCE TO CLINICAL PRACTICE

This study developed a set of nursing-sensitive indicators, and these indicators were used to assess and improve the quality of nursing in PICUs.

Increased Occurrence of Tracheal Intubation-Associated Events During Nights and Weekends in the PICU

OBJECTIVES

Adverse tracheal intubation-associated events are common in PICUs. Prior studies suggest provider and practice factors are important contributors to tracheal intubation-associated events. Little is known about how the incidence of tracheal intubation-associated events is affected by the time of day, day of the week, or presence of in-hospital attending-level intensivists. We hypothesize that tracheal intubations occurring during nights and weekends are associated with a higher frequency of tracheal intubation-associated events.

DESIGN

Retrospective observational cohort study.

SETTING

Twenty international PICUs.

SUBJECTS

Critically ill children requiring tracheal intubation.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

We analyzed 5,096 tracheal intubation courses from July 2010 to March 2014 from the prospective multicenter National Emergency Airway Registry for Children. Frequency of a priori-defined tracheal intubation-associated events was the primary outcome. Occurrence of any tracheal intubation-associated events and severe tracheal intubation-associated events were more common during nights (19:00 to 06:59) and weekends compared with weekdays (19% vs 16%, p = 0.01; 7% vs 6%, p = 0.05, respectively). This difference was significant in emergent intubations after adjusting for site-level clustering and patient factors: for any tracheal intubation-associated events: adjusted odds ratio, 1.20; 95% CI, 1.02-1.41; p = 0.03; but not significant in nonemergent intubations: adjusted odds ratio, 0.94; 95% CI, 0.63-1.40; p = 0.75. For emergent intubations, PICUs with home-call attending coverage had a significantly higher frequency of tracheal intubation-associated events during nights and weekends (adjusted odds ratio, 1.29; 95% CI, 1.01-1.66; p = 0.04), and this difference was attenuated in PICUs with in-hospital attending coverage (adjusted odds ratio, 1.12; 95% CI, 0.91-1.39; p = 0.28).

CONCLUSIONS

Higher occurrence of tracheal intubation-associated events was observed during nights and weekends. This difference was primarily attributed to emergent intubations. In- hospital attending physician coverage attenuated this discrepancy between weekdays versus nights and weekends but was not fully protective for tracheal intubation-associated events.

Plasma Biomarkers of Brain Injury as Diagnostic Tools and Outcome Predictors After Extracorporeal Membrane Oxygenation

OBJECTIVE

To determine if elevations in plasma brain injury biomarkers are associated with outcome at hospital discharge in children who require extracorporeal membrane oxygenation.

DESIGN

Prospective observational study.

SETTING

Single tertiary-care academic center.

PARTICIPANTS

Eighty children who underwent extracorporeal membrane oxygenation between June 2010 and December 2013.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

We measured six brain injury biomarkers (glial fibrillary acidic protein, monocyte chemoattractant protein 1/chemokine (C-C motif) ligand 2, neuron-specific enolase, S100b, intercellular adhesion molecule-5, and brain-derived neurotrophic factor) daily during extracorporeal membrane oxygenation, using an electrochemiluminescent multiplex assay. We recorded clinical, neuroimaging, and extracorporeal membrane oxygenation course data. We analyzed the association of biomarker concentrations with favorable versus unfavorable outcome at hospital discharge. Favorable outcome was defined as Pediatric Cerebral Performance Category 1, 2, or no change from baseline. Patients had a median age of 3 days (interquartile range, 1 d-10 mo), and 56% were male. Thirty-three of 80 (41%) had unfavorable outcome, and 22 of 70 (31%) had abnormal neuroimaging findings during or after extracorporeal membrane oxygenation. Peak concentrations were significantly higher in patients with unfavorable outcome than in those with favorable outcome for glial fibrillary acidic protein (p = 0.002), monocyte chemoattractant protein 1/chemokine (C-C motif) ligand 2 (p = 0.030), neuron-specific enolase (p = 0.006), and S100b (p = 0.015) and in patients with versus without abnormal neuroimaging findings for glial fibrillary acidic protein (p = 0.001) and intercellular adhesion molecule-5 (p = 0.001). The area under the receiver operator characteristic curve for unfavorable outcome was 0.73 for a noncollinear biomarker combination. After removing collinear biomarkers, the adjusted odds ratios for unfavorable outcome were 2.89 (95% CI, 1.09-7.73) for neuron-specific enolase, using a cutoff of 62.0 ng/mL, and 2.15 (95% CI, 1.06-4.38) for glial fibrillary acidic protein, using a cutoff of 0.46 ng/mL.

CONCLUSIONS

Elevated plasma brain injury biomarker concentrations during the extracorporeal membrane oxygenation course are associated with unfavorable outcome and/or the presence of neuroimaging abnormalities. Combinations of brain-specific proteins increase the sensitivity and specificity for outcome prediction.