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:

Association of kidney disease with obstructive sleep apnea in a population study of men To determine the relationship between obstructive sleep apnea (OSA) and chronic kidney disease (CKD). Previous population studies of the association are sparse, conflicting and confined largely to studies of administrative data. Cross-sectional analysis in unselected participants of the Men Androgens Inflammation Lifestyle Environment and Stress (MAILES) study, aged >40 y. Renal data were available on 812 men without a prior OSA diagnosis who underwent full in-home polysomnography (Embletta X100) in 2010-2011. CKD was defined as an estimated glomerular filtration rate (eGFR) <60 mL/min/1.73m2 or eGFR ≥60 and albuminuria (albumin creatinine ratio ≥3.0 mg/mmol). CKD [10.5%, n=85 (Stage 1-3, 9.7%; Stage 4-5, 0.7%)] of predominantly mild severity showed significant association s with OSA (AHI≥10): odds ratio (OR)=1.9, 95% confidence interval (CI):1.02-3.5, severe OSA (AHI ≥30/h): OR =2.6, 95% CI:1.1-6.2, and respiratory related arousal index: ≥7.6/h OR =2.3, 95%CI: 1.1-4.7, but not measures of hypoxemia after adjustment for age, hypertension, diabetes, smoking, obesity, and NSAID use. There was no association of CKD with daytime sleepiness. In men with CKD, those with OSA were not significantly more likely to report symptoms (sleepiness, snoring, apneas) or be identified with the STOP OSA screening questionnaire, compared to men without OSA. Predominantly mild CKD is associated with severe OSA and arousals. Further population studies examining the longitudinal relationship between CKD and OSA are warranted. Better methods are needed to identify OSA in CKD which may have few symptoms.
{"AnatomicalStructure": ["Renal"], "Bacterium": [], "BiologicFunction": ["identify", "obstructive sleep apnea", "arousals", "apneas", "OSA", "CKD", "kidney disease", "hypertension", "obesity", "chronic kidney disease", "diabetes", "arousal"], "BiomedicalOccupationOrDiscipline": [], "BodySubstance": [], "BodySystem": [], "Chemical": ["NSAID"], "ClinicalAttribute": [], "Eukaryote": [], "Finding": ["conflicting", "daytime sleepiness", "sleepiness", "diagnosis", "symptoms", "albuminuria", "hypoxemia", "mild severity", "not significantly", "administrative", "snoring", "examining"], "Food": [], "HealthCareActivity": ["determine", "estimated glomerular filtration rate", "polysomnography", "eGFR", "report"], "InjuryOrPoisoning": [], "IntellectualProduct": ["methods", "index"], "MedicalDevice": ["Embletta X100"], "Organization": [], "PopulationGroup": ["participants", "men"], "ProfessionalOrOccupationalGroup": [], "ResearchActivity": ["population study", "STOP OSA screening questionnaire", "studies", "population studies", "Cross-sectional analysis"], "SpatialConcept": ["in-home", "longitudinal"], "Virus": []}