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: ["Outcome", "Participant", "Intervention"].

Please return the output as a JSON object of the format: {"Participant" : ["patients with COPD", ...], "Intervention" : ["Atenolol", ...], "Outcome" : ["blood pressure", ...]}. 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:

Continuous glucose monitoring in acute coronary syndrome . BACKGROUND Diabetes mellitus is an independent risk factor for cardiovascular disease . OBJECTIVE To compare the efficacy of devices for continuous glucose monitoring and capillary glucose monitoring in hospitalized patients with acute coronary syndrome using the following parameters : time to achieve normoglycemia , period of time in normoglycemia , and episodes of hypoglycemia . METHODS We performed a pilot , non-randomized , unblinded clinical trial that included 16 patients with acute coronary artery syndrome , a capillary or venous blood glucose ≥ 140 mg/dl , and treatment with a continuous infusion of fast acting human insulin . These patients were randomized into 2 groups : a conventional group , in which capillary measurement and recording as well as insulin adjustment were made every 4h , and an intervention group , in which measurement and recording as well as insulin adjustment were made every hour with a subcutaneous continuous monitoring system . Student 's t-test was applied for mean differences and the X ( 2 ) test for qualitative variables . RESULTS We observed a statistically significant difference in the mean time for achieving normoglycemia , favoring the conventional group with a P = 0.02 . CONCLUSION Continuous monitoring systems are as useful as capillary monitoring for achieving normoglycemia .
{"Intervention": [], "Outcome": ["efficacy of devices", "period of time in normoglycemia", "Student \u0027s t-test", "time to achieve normoglycemia", "the X ( 2 ) test", "episodes of hypoglycemia", "time for achieving normoglycemia"], "Participant": ["Diabetes mellitus", "acute coronary artery syndrome", "16", "hospitalized patients with acute coronary syndrome", "cardiovascular disease .", "acute coronary syndrome"]}