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:

Sepsis Clinical Criteria in Emergency Department Patients Admitted to an Intensive Care Unit: An External Validation Study of Quick Sequential Organ Failure Assessment Quick Sequential Organ Failure Assessment (qSOFA) is a prognostic score for patients with sepsis. Our aim was to compare the area under the receiver operating curve (AUROC), sensitivity, specificity, and likelihood ratios of qSOFA vs. systemic inflammation response syndrome (SIRS) in predicting in-hospital mortality among emergency department (ED) patients with suspected infection admitted to intensive care units (ICUs). We conducted a retrospective cohort chart review study of ED patients admitted to an ICU with suspected infection from August 1, 2012 to February 28, 2015. We included all patients with body fluid cultures sampled either during their ED stay without antibiotic administration or within 24 h of antibiotics administered in the ED. Trained chart abstractors blinded to the study hypothesis double-entered data from each patient's electronic medical record including demographic characteristics, vital signs, laboratory study results, physical examination findings, and in-hospital mortality. We then calculated the AUROC, sensitivity, specificity, and likelihood ratios for qSOFA and SIRS for predicting in-hospital mortality. Of 214 patients admitted to an ICU with presumed sepsis, 39 (18.2%) died during hospitalization. The AUROC value was 0.65 (95% confidence interval [CI] 0.56-0.74) for SIRS vs. 0.66 (95% CI 0.57-0.76) for qSOFA; 2+ qSOFA criteria predicted in-hospital mortality with 89.7% sensitivity, 27.4% specificity, 1.2 positive likelihood ratio, and 0.4 negative likelihood ratio. Among ED patients admitted to an ICU, the SIRS and qSOFA criteria had comparable prognostic value for predicting in-hospital mortality. These prognostic values are similar to those reported by the Sepsis-3 guidelines for ICU encounters.
{"AnatomicalStructure": [], "Bacterium": [], "BiologicFunction": ["SIRS", "suspected infection", "sepsis", "systemic inflammation response syndrome", "presumed sepsis", "Sepsis"], "BiomedicalOccupationOrDiscipline": [], "BodySubstance": ["body fluid cultures sampled"], "BodySystem": [], "Chemical": [], "ClinicalAttribute": ["vital signs"], "Eukaryote": [], "Finding": ["qSOFA", "findings", "Quick Sequential Organ Failure Assessment"], "Food": [], "HealthCareActivity": ["antibiotic administration", "laboratory study results", "admitted", "physical examination", "antibiotics administered", "Admitted"], "InjuryOrPoisoning": [], "IntellectualProduct": ["Sepsis-3 guidelines", "encounters", "electronic medical record"], "MedicalDevice": [], "Organization": ["Intensive Care Unit", "ICU", "emergency department", "ICUs", "ED", "Emergency Department", "intensive care units"], "PopulationGroup": [], "ProfessionalOrOccupationalGroup": ["Trained chart abstractors"], "ResearchActivity": ["retrospective cohort chart review study", "study", "External Validation Study"], "SpatialConcept": [], "Virus": []}