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:

all adult patients with a nasal or facial skin/soft tissue defect requiring reconstruction limited to or including a full-thickness skin graft
{"Condition": ["facial skin/soft tissue defect", "nasal skin/soft tissue defect"], "Device": ["full-thickness skin graft"], "Drug": [], "Measurement": [], "Mood": ["requiring"], "Multiplier": [], "Negation": [], "Observation": [], "Person": [], "Procedure": ["reconstruction"], "Qualifier": [], "ReferencePoint": [], "Scope": ["nasal or facial skin/soft tissue defect"], "Temporal": [], "Value": [], "Visit": []}