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:

Subject or legal representative has voluntarily signed the informed consent approved by the Institutional Review Board,
Hip fracture surgery scheduled under general anesthesia
Subject is 65 years or older on the day of surgery
{"Condition": [], "Device": [], "Drug": [], "Measurement": [], "Mood": [], "Multiplier": [], "Negation": [], "Observation": [], "Person": ["older"], "Procedure": ["surgery", "Hip fracture surgery", "general anesthesia"], "Qualifier": [], "ReferencePoint": ["the day of surgery"], "Scope": [], "Temporal": ["on the day of surgery"], "Value": ["65 years or older"], "Visit": []}