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:

Acute Kidney Injury Severity and Long-Term Readmission and Mortality After Cardiac Surgery Acute kidney injury (AKI) is a common complication after cardiac surgery. While AKI severity is known to be associated with increased risk of short-term outcomes, its long-term impact is less well understood. Adult patients undergoing isolated coronary artery bypass graft surgery at eight centers were enrolled into the Northern New England biomarker registry (n = 1,610). Patients were excluded if they had renal failure (n = 15) or died during index admission (n = 38). Severity of AKI was defined using the Acute Kidney Injury Network (AKIN). We linked our cohort to national Medicare and state all-payer claims to ascertain readmissions and to the National Death Index to ascertain survival. Kaplan-Meier and multivariate Cox proportional hazards modeling was conducted for time to readmission and death over 5 years. Within 5 years, 513 patients (33.8%) had AKI with AKIN stage 1 (29.9%) and stage 2 to 3 (3.9%). There were 620 readmissions (39.9%) and 370 deaths (23.8%). After adjustment, stage 1 AKI patients had a 31% increased risk of readmission (95% confidence interval [CI]: 1.10 to 1.57), whereas stage 2 or 3 patients had a 98% increased risk (95% CI: 1.41 to 2.78) compared with patients having no AKI. Relative to patients without AKI, stage 1 patients had a 56% increased risk of mortality (95% CI: 1.14 to 2.13), whereas stage 2 or 3 patients had a 3.5 times higher risk (95% CI: 2.16 to 5.60). Severity of AKI using the AKIN stage criteria is associated with a significantly increased risk of 5-year readmission and mortality. Our findings suggest that efforts to reduce AKI in the perioperative period may have a significant long-term impact on patients and payers in reducing mortality and health care utilization.
{"AnatomicalStructure": [], "Bacterium": [], "BiologicFunction": ["renal failure", "complication"], "BiomedicalOccupationOrDiscipline": [], "BodySubstance": [], "BodySystem": [], "Chemical": [], "ClinicalAttribute": [], "Eukaryote": [], "Finding": ["died", "no", "deaths", "death"], "Food": [], "HealthCareActivity": ["cardiac surgery", "coronary artery bypass graft surgery", "Readmission", "index admission", "readmission", "health care utilization", "Cardiac Surgery", "readmissions"], "InjuryOrPoisoning": ["Acute kidney injury", "Acute Kidney Injury", "AKI"], "IntellectualProduct": ["state all-payer claims", "Acute Kidney Injury Network", "multivariate Cox proportional hazards modeling", "AKIN", "National Death Index", "Northern New England biomarker registry"], "MedicalDevice": [], "Organization": [], "PopulationGroup": [], "ProfessionalOrOccupationalGroup": [], "ResearchActivity": [], "SpatialConcept": [], "Virus": []}