Acute neurological injury in pediatric patients with single-ventricle congenital heart disease.

OBJECTIVE: Single-ventricle congenital heart disease (CHD) in pediatric patients with Glenn and Fontan physiology represents a unique physiology requiring the surgical diversion of the systemic venous return from the superior vena cava (Glenn) and then the inferior vena cava (Fontan) directly to the pulmonary arteries. Because many of these patients are on chronic anticoagulation therapy and may have right-to-left shunts, arrhythmias, or lymphatic disorders that predispose them to bleeding and/or clotting, they are at risk of experiencing neurological injury requiring intubation and positive pressure ventilation, which can significantly hamper pulmonary blood flow and cardiac output. The aim of this study was to describe the complex neurological and cardiopulmonary interactions of these pediatric patients after acute central nervous system (CNS) injury. METHODS: The authors retrospectively analyzed the records of pediatric patients who had been admitted to a quaternary children's hospital with CHD palliated to bidirectional Glenn (BDG) or Fontan circulation and acute CNS injury and who had undergone intubation and mechanical ventilation. Patients who had been admitted from 2005 to 2019 were included in the study. Clinical characteristics, surgical outcomes, cardiovascular and pulmonary data, and intracranial pressure data were collected and analyzed. RESULTS: Nine pediatric single-ventricle patients met the study inclusion criteria. All had undergone the BDG procedure, and the majority (78%) were status post Fontan palliation. The mean age was 7.4 years (range 1.3-17.3 years). At the time of acute CNS injury, which included traumatic brain injury, intracranial hemorrhage, and cerebral infarct, the median time interval from the most recent cardiac surgical procedure was 3 years (range 2 weeks-11 years). Maintaining normocarbia to mild hypercarbia for most patients during intubation periods did not cause neurological deterioration, and hemodynamic profiles were more favorable as compared to periods of hypocarbia. Hypocarbia was associated with unfavorable hemodynamics but was necessary to decrease intracranial hypertension. Most patients were managed using low mean airway pressure (MAWP) in order to minimize the impact on preload and cardiac output. CONCLUSIONS: The authors highlight the complex neurological and cardiopulmonary interactions with respect to partial pressure of arterial CO2 (PaCO2) and MAWP when pediatric CHD patients with single-ventricle physiology require mechanical ventilation. The study data demonstrated that tight control of PaCO2 and minimizing MAWP with the goal of early extubation may be beneficial in this population. A multidisciplinary team of pediatric critical care intensivists, cardiac intensivists and anesthesiologists, and pediatric neurosurgeons and neurologists are recommended to ensure the best possible outcomes.

Development of Care Curves Following the Stage 1 Palliation: A Comparison of Intensive Care Among 5 Centers.

Background Comparison of care among centers is currently limited to major end points, such as mortality, length of stay, or complication rates. Creating "care curves" and comparing individual elements of care over time may highlight modifiable differences in intensive care among centers. Methods and Results We performed an observational retrospective study at 5 centers in the United States to describe key elements of postoperative care following the stage 1 palliation. A consecutive sample of 502 infants undergoing stage 1 palliation between January 2009 and December 2018 were included. All electronic health record entries relating to mandatory mechanical ventilator rate, opioid administration, and fluid intake/outputs between postoperative days (POD) 0 to 28 were extracted from each institution's data warehouse. During the study period, 502 patients underwent stage 1 palliation among the 5 centers. Patients were weaned to a median mandatory mechanical ventilator rate of 10 breaths/minute by POD 4 at Center 5 but not until POD 7 to 8 at Centers 1 and 2. Opioid administration peaked on POD 2 with extreme variance (median 6.9 versus 1.6 mg/kg per day at Center 3 versus Center 2). Daily fluid balance trends were variable: on POD 3 Center 1 had a median fluid balance of -51 mL/kg per day, ranging between -34 to 19 mL/kg per day among remaining centers. Intercenter differences persist after adjusting for patient and surgical characteristics (P<0.001 for each end point). Conclusions It is possible to detail and compare individual elements of care over time that represent modifiable differences among centers, which persist even after adjusting for patient factors. Care curves may be used to guide collaborative quality improvement initiatives.

Development of a Respiratory Support Score as a Visualization Tool in Intensive Care.

BACKGROUND: In the modern era, many devices exist to support patients with respiratory insufficiency. There is currently no way to depict changes in the degree of support a patient is receiving over time. METHODS: We enrolled 4,889 subjects undergoing 5,732 cardiac surgical visits between 2011 and 2017 and extracted data elements related to respiratory support from the electronic medical record. We created an algorithm to use these data to categorize a subject's respiratory support type and to calculate an empirically derived respiratory support score (RSS) at each postoperative minute; the RSS is scored on a scale of 0 to 100. The RSS was then used to identify the timing and incidence of nonprocedural re-intubations, which were electronically verified against secondary verification fields (eg, nursing extubation note). Rates of nonprocedural re-intubations and noninvasive ventilation were compared between surgical mortality risk scores (STAT scores). RESULTS: Computerized assignment of RSS was performed for 3 million subject time points. Mechanical ventilation duration varied significantly by STAT score (P < .001). Nonprocedural re-intubations increased nonsignificantly with increasing STAT score (P = .059, overall 4.3%); time to nonprocedural re-intubation did not (P = .53). Noninvasive ventilation use was more common and was prolonged with increasing STAT score (P < .001). CONCLUSIONS: Elements of respiratory support can be automatically extracted and transformed into a numerical RSS for visualization of respiratory course. The RSS provides a clear visual depiction of respiratory care over time, particularly in subjects with a complex ICU course. The score also allows for the automated adjudication of meaningful end points, including timing of extubation and incidence of nonprocedural re-intubation.