You will be shown inclusion or exclusion criteria for a clinical trial. Given these criteria, your task is to extract all unique entities of the following types: ["Observation", "Condition", "Procedure", "Drug", "Temporal", "Multiplier", "Qualifier", "Negation", "ReferencePoint", "Scope", "Value", "Mood", "Device", "Visit", "Measurement", "Person"].

Please return the output as a JSON object of the format: {"Condition" : ["breast cancer", ...], "Device" : ["ports", ...], "Drug" : ["Atenolol", ...], "Measurement" : ["blood pressure", ...], "Mood" : ["suspected", ...], "Multiplier" : ["more than two", ...], "Negation" : ["no", ...], "Observation" : ["history", ...], "Person" : ["male", ...], "Procedure" : ["surgery", ...], "Qualifier" : ["severe", ...], "ReferencePoint" : ["enrollment", ...], "Scope" : ["infection", ...], "Temporal" : ["one day", ...], "Value" : ["50%", ...], "Visit" : ["ICU", ...]}. The keys should be entity types and values should be lists of extracted entities belonging to the corresponding type. If you cannot find entities belonging to a specific type, the value should be [].

Only output the JSON object and do not include any additional text.

Abstract:

Age between 0 and 18 years
Venous pH less than 7.25
Ketonuria as confirmed on urine point-of-care testing or urinalysis
Hyperglycemia (Serum glucose > 200 mg/dl)
Serum bicarbonate <15 mmol/L
PICU admission
{"Condition": ["Ketonuria", "Hyperglycemia"], "Device": [], "Drug": [], "Measurement": ["urine point-of-care testing", "Venous pH", "Serum bicarbonate", "Serum glucose", "urinalysis"], "Mood": [], "Multiplier": [], "Negation": [], "Observation": [], "Person": ["Age"], "Procedure": ["admission"], "Qualifier": [], "ReferencePoint": [], "Scope": ["Serum glucose \u003e 200 mg/dl", "urine point-of-care testing or urinalysis"], "Temporal": [], "Value": ["\u003e 200 mg/dl", "less than 7.25", "\u003c15 mmol/L", "between 0 and 18 years"], "Visit": ["PICU"]}