Correlating the NIRS/Cerebral Oximetry readings to the various critical ill and injured pediatric patients, trends, interventions, and outcomes

Stroke

Diabetic Ketoacidosis

Increased Intracranial Pressures

Altered Mental Status

NIRS

Arkansas Children's Hospital

Descriptive Analysis of Near Infrared Spectroscopy in Critically Ill and Injured Pediatric and Neonatal Patients

All study data will be obtained from the physical or electronic medical records obtained at Arkansas Children's Hospital. Patient's NIRS and vital signs data will be in an excel format with de-identified patient information which will be age, interventions, and etiology as denoted as Medical vs. Trauma (see study population for inclusion criteria). This is a data review with de-identified patient chart analysis for age, weight, past medical histories, co-morbidities, medical or surgical interventions, medications, seizures, duration of events, cardiac arrest, respiratory failure, intubations, and outcomes. All relevant information will be entered into a Redcap database. All study subject materials will be assigned a unique identifying code or number.

Arkansas Children's Hospital Research Institute

The hyperglycemia minimization algorithm will be running actively on the study laptop during the night and dose insulin if the algorithm predicts hyperglycemia. If hypoglycemia is predicted, the system will suspend the pump.

The control algorithm will run passively and not dose additional insulin. If hypoglycemia is predicted, the system will suspend the pump.

Type 1 Diabetes

Hyperglycemia Minimization Algorithm

Stanford University

Barbara Davis Center for Childhood Diabetes

St. Joseph's Health Care

Reduction of Nocturnal Hypoglycemia and Hyperglycemia in the Home Using Predictive Algorithms

Reduction of Nocturnal Hypoglycemia and Hyperglycemia in the Home Using Predictive Algorithms, Pump Suspension, and Insulin Dosing

A single percentage calculated for each subject by pooling all CGM readings from the hyperglycemia minimization active algorithm nights will be compared with the corresponding percentage obtained by pooling all of the data from control nights for the same subject. All CGM readings will be weighted equally in the pooled percentage regardless of how they distribute across nights.

diabetic ketoacidosis/seizures

Descriptive Analysis of Near Infrared Spectroscopy in Critically Ill and Injured Pediatric and Neonatal Patients

Reduction of Nocturnal Hypoglycemia and Hyperglycemia in the Home Using Predictive Algorithms

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