You will be shown an abstract from a biomedical research paper. Given this abstract, your task is to extract all unique entities of the following types: ["HealthCareActivity", "InjuryOrPoisoning", "BodySubstance", "IntellectualProduct", "AnatomicalStructure", "SpatialConcept", "Chemical", "Bacterium", "MedicalDevice", "Organization", "BiomedicalOccupationOrDiscipline", "Finding", "BiologicFunction", "Virus", "ResearchActivity", "ClinicalAttribute", "PopulationGroup", "Eukaryote", "BodySystem", "Food", "ProfessionalOrOccupationalGroup"].

Please return the output as a JSON object of the format: {"Virus": ["HIV", ...], "Bacterium": ["MRSA", ...], "AnatomicalStructure": ["Lung", ...], "BodySystem": ["CNS", ...], "BodySubstance": ["Serum", ...], "Finding": ["Headache", ...], "InjuryOrPoisoning": ["Fracture", ...], "BiologicFunction": ["Death", ...], "HealthCareActivity": ["Biopsy", ...], "ResearchActivity": ["Clinical trial", ...], "MedicalDevice": ["Lenses", ...], "SpatialConcept": ["Camps", ...], "BiomedicalOccupationOrDiscipline": ["Forensic medicine", ...], "Organization": ["WHO", ...], "ProfessionalOrOccupationalGroup": ["Provider", ...], "PopulationGroup": ["Swimmers", ...], "Chemical": ["Gold", ...], "Food": ["Rice", ...], "IntellectualProduct": ["RPAM", ...], "ClinicalAttribute": ["Biomarker", ...], "Eukaryote": ["Dogs", ...]}. 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:

Complications and Near-Miss Events After Hepatectomy for Living-Related Liver Donation: An Italian Single Center Report of One Hundred Cases BACKGROUND In healthy individuals, such as liver living donors, potential complications may occur during surgery. Reporting such complications and near-miss events is mandatory to improve living donor management and safety. MATERIAL AND METHODS This retrospective study was performed on a prospective database with the aim of providing a brief analysis of the perioperative, medium-term, and long-term complications, and the near-miss events in a single center series of 100 consecutive liver resections for adult -to- adult living-donor liver transplantation. RESULTS Only 23.3% of potential living donors underwent surgery. No living donor mortality was reported; 29 patients (29%) experienced at least one complication. Five patients developed mild long-term dysfunction; two aborted hepatectomies, and there were two near-miss events reported. CONCLUSIONS A strategy for an accurate assessment of living donor complications and strict selection criterion cannot be overemphasized, as well as the need to continuously update center patient outcome reports.
{"AnatomicalStructure": [], "Bacterium": [], "BiologicFunction": ["Complications", "complication", "complications"], "BiomedicalOccupationOrDiscipline": [], "BodySubstance": [], "BodySystem": [], "Chemical": [], "ClinicalAttribute": [], "Eukaryote": [], "Finding": ["No"], "Food": [], "HealthCareActivity": ["Living-Related Liver Donation", "liver resections", "assessment", "surgery", "Hepatectomy", "hepatectomies", "liver transplantation"], "InjuryOrPoisoning": [], "IntellectualProduct": ["Report", "database", "reports"], "MedicalDevice": [], "Organization": ["single center", "Single Center", "center"], "PopulationGroup": ["living donors", "living-donor", "individuals", "liver living donors", "living donor"], "ProfessionalOrOccupationalGroup": [], "ResearchActivity": ["retrospective study", "analysis"], "SpatialConcept": ["Italian"], "Virus": []}