90-day Hospital Mortality
In order to enable direct comparisons between data gathered in HALF-PINT and the prior adult NICE-SUGAR trial, we will collect data on 90-day hospital mortality.
28-day Hospital Mortality
We will collect data on 28-day hospital mortality.
Accumulation of Multiple Organ Dysfunction Syndrome (MODS)
Accumulation of MODS during the 28 days following randomization will be measured. MODS is defined as the concurrent dysfunction of two or more organ systems (e.g., acute lung injury and renal failure). The clinical relevance of MODS as a surrogate outcome measure is well recognized in the intensive care community, and there is a clear relationship between the number of dysfunctional organ systems and the risk of death in critically ill children.
Ventilator-Free Days
Ventilator-free days during the 28 days following randomization encompasses both reduction in the duration of ventilation and improvement in mortality. The end of the subject's duration of ventilation is defined as the date/time of extubation for subjects who are intubated, or the date/time of the discontinuation of mechanical ventilation for subjects with tracheostomy.
Developmental Neurobehavioral Outcomes: VABS-II Composite
Reliable, reproducible measures of adaptive functioning, behavior and quality of life will be used to determine outcomes at baseline (CBCL, PedsQL) and at one year after ICU discharge (Vineland-II, CBCL, PedsQL). The goal of baseline data collection is to assess pre-ICU health and quality of life. The results of the Vineland Adaptive Behavior Scales, Second Edition (VABS-II) are reported. Scores range from 20-160, with higher scores being better.
Participants With Device-Related or Non-Device Related Nosocomial Infection
We will use Centers for Disease Control's (CDC) most recently published definitions for the following nosocomial infections attributable to the ICU stay: total bloodstream infections including Central Venous Line (CVL)-associated bloodstream infections (BSI), respiratory tract infections including ventilator-associated pneumonias, urinary tract infections, and wound infections that occur in the ICU or within 48 hours of discharge to the non-ICU inpatient unit.
Incidence of Catheter-Associated Bloodstream Infection
We will use Centers for Disease Control's (CDC) most recently published definition for the following nosocomial infection attributable to the ICU stay: Central Venous Line (CVL)-associated bloodstream infections (BSI) that occur in the ICU or within 48 hours of discharge to the non-ICU inpatient unit. This device-related infection will be counted per 1,000 device days.
Incidence of Catheter-Associated Urinary Tract Infection
We will use Centers for Disease Control's (CDC) most recently published definition for the following nosocomial infection attributable to the ICU stay: urinary tract infections that occur in the ICU or within 48 hours of discharge to the non-ICU inpatient unit. This device-related infection will be counted per 1,000 device days.
Incidence of Ventilator-Associated Pneumonia
We will use Centers for Disease Control's (CDC) most recently published definition for the following nosocomial infection attributable to the ICU stay: respiratory tract infections including ventilator-associated pneumonias that occur in the ICU or within 48 hours of discharge to the non-ICU inpatient unit. This device-related infection will be counted per 1,000 device days.
Incidence of Wound Infection Incidence of Wound Infection
We will use Centers for Disease Control's (CDC) most recently published definition for the following nosocomial infection attributable to the ICU stay: wound infections that occur in the ICU or within 48 hours of discharge to the non-ICU inpatient unit. This non-device-related infection will be counted per 1,000 ICU days.
Participants With Severe Hypoglycemia (<40 mg/dL), Unrelated to Insulin Infusion (Insulin Algorithm Safety)
Hypoglycemia will be tracked and reported according to three ranges: severe (<40 mg/dL), moderate (40-49 mg/dL) and mild (50-59 mg/dL). As insulin infusion can cause slight changes to serum potassium concentration, hypokalemia <2.5 mmol/L will also be tracked.
Participants With Severe Hypoglycemia (<40 mg/dL), Related to Insulin Infusion (Insulin Algorithm Safety)
Hypoglycemia will be tracked and reported according to three ranges: severe (<40 mg/dL), moderate (40-49 mg/dL) and mild (50-59 mg/dL). As insulin infusion can cause slight changes to serum potassium concentration, hypokalemia <2.5 mmol/L will also be tracked.
Participants With Any Hypoglycemia (<60 mg/dL), Unrelated to Insulin Infusion (Insulin Algorithm Safety)
Hypoglycemia will be tracked and reported according to three ranges: severe (<40 mg/dL), moderate (40-49 mg/dL) and mild (50-59 mg/dL). As insulin infusion can cause slight changes to serum potassium concentration, hypokalemia <2.5 mmol/L will also be tracked.
Participants With Any Hypoglycemia (<60 mg/dL), Related to Insulin Infusion (Insulin Algorithm Safety)
Hypoglycemia will be tracked and reported according to three ranges: severe (<40 mg/dL), moderate (40-49 mg/dL) and mild (50-59 mg/dL). As insulin infusion can cause slight changes to serum potassium concentration, hypokalemia <2.5 mmol/L will also be tracked.
Participants With Hypokalemia (<2.5 mmol/L)
Hypoglycemia will be tracked and reported according to three ranges: severe (<40 mg/dL), moderate (40-49 mg/dL) and mild (50-59 mg/dL). As insulin infusion can cause slight changes to serum potassium concentration, hypokalemia <2.5 mmol/L will also be tracked.
Nursing Workload: SWAT (Subjective Workload Assessment Technique) Instrument
The workload burden placed upon bedside nurses when managing a patient on TGC will be described. Bedside nurses will be randomly selected to complete an anonymous survey describing their perceptions of workload burden associated with managing a patient during one shift.
Using the SWAT (Subjective Workload Assessment Technique) instrument, perceived workload of Pediatric Intensive Care Nurses caring for HALF-PINT patients in TGC group 1 and TGC group 2 were assessed. The SWAT has been used to study the effect of workload in the fields of nursing, pharmacy and medicine. It measures the following burdens: cognitive (mental effort or concentration required for complexity of task), time (amount of spare time, interruptions, overlapping tasks) and psychological stress associated with work that impacts performance. The SWAT uses a ranking system to weight perceived workload which results in an overall score ranging from 0-100, where higher scores indicate higher perceived workload.
Nursing Workload: NASA-TLX (National Aeronautics and Space Administration - Task Load Index) Instrument
The cognitive burden placed upon bedside nurses when managing a patient on TGC will be described. Bedside nurses will be randomly selected to complete an anonymous survey describing their perceptions of workload burden associated with managing a patient on TGC.
Using the NASA-TLX instrument, perceived workload of Pediatric Intensive Care Nurses caring for HALF-PINT patients in TGC group 1 and TGC group 2 were assessed. The instrument uses a ranking system to weight perceived workload which results in an overall sore ranging from 0-100, where higher scores indicate higher perceived workload. It obtains overall perception of workload related to stressful tasks and includes 6 dimensions (cognitive demand, physical demand, time pressure, performance, effort, and frustration.
Insulin Algorithm Performance: Time to the Target Range
Performance of the algorithm across diverse ages, weights and disease processes will be critical to measure and compare to other published algorithm performance. Ideally, the algorithm will minimize time to glucose target range. We will track the overall glycemic profile using time-weighted glucose average because it is uniquely unaffected by the increased frequency of BG determinations that occur when glucose is abnormally low or high.
Insulin Algorithm Performance: Time in the Target Range
Performance of the algorithm across diverse ages, weights and disease processes will be critical to measure and compare to other published algorithm performance. Ideally, the algorithm will maximize time spent in the glucose target range. We will track the overall glycemic profile using time-weighted glucose average because it is uniquely unaffected by the increased frequency of BG determinations that occur when glucose is abnormally low or high.
Insulin Algorithm Performance: Time-Weighted Glucose Average
Performance of the algorithm across diverse ages, weights and disease processes will be critical to measure and compare to other published algorithm performance. We will track the overall glycemic profile using time-weighted glucose average because it is uniquely unaffected by the increased frequency of BG determinations that occur when glucose is abnormally low or high.