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:

Epidemiology and risk factors associated with surgical site infection after different types of hepatobiliary and pancreatic surgery Surgical site infection (SSI) is one of the most common healthcare-associated infections (HAIs); however, SSI after hepatobiliary and pancreatic surgery (HBPS) has not been well investigated in a large cohort of patients. This study analyzed the factors associated with SSI following HBPS in Japan, using a Japanese national database. Data on HBPS performed between 2012 and 2014 were extracted from a national monitoring system for HAI: The Japan Nosocomial Infections Surveillance. Using multivariate logistic regression, I assessed the factors associated with SSI. The cumulative incidence of SSI following HBPS was 15.6% (2873/18,398). The incidence of SSI after pancreatoduodenectomy was 28.0%, which was significantly higher than that after liver resection and other types of HBPS (8.8 and 15.5%, respectively). Among the four traditional risk factors, the American Society of Anesthesiologists score was ineffective for predicting SSI in the final model of all three types of surgery. Additional risk factors were identified, including age and male gender. The incidence of and factors associated with SSI after the three types of HBPS analyzed differed significantly. To accurately compare hospital performance in relation to SSI following HBPS, the operative procedure category in the surveillance system must be divided into three types.
{"AnatomicalStructure": [], "Bacterium": [], "BiologicFunction": ["Surgical site infection", "surgical site infection", "SSI", "healthcare-associated infections", "HAIs", "HAI"], "BiomedicalOccupationOrDiscipline": ["Epidemiology", "hepatobiliary and pancreatic surgery", "HBPS"], "BodySubstance": [], "BodySystem": [], "Chemical": [], "ClinicalAttribute": [], "Eukaryote": [], "Finding": ["risk factors"], "Food": [], "HealthCareActivity": ["Japan Nosocomial Infections Surveillance", "surgery", "operative procedure", "liver resection", "pancreatoduodenectomy"], "InjuryOrPoisoning": [], "IntellectualProduct": ["category", "national monitoring system", "Japanese national database", "model"], "MedicalDevice": [], "Organization": ["American Society of Anesthesiologists", "hospital"], "PopulationGroup": ["cohort"], "ProfessionalOrOccupationalGroup": [], "ResearchActivity": ["multivariate logistic regression", "extracted"], "SpatialConcept": ["Japan"], "Virus": []}