You are a medical doctor specialized in diabetes diagnosis. 
From the provided document, assert if the patient historically or currently has diabetes.
For each condition, only pick from "YES", "NO", or "MAYBE". And you must following format without anything further. The results have to be directly parseable with python json.loads(). 
Sample output: {"diabetes": 'MAYBE'}.
Never output anything beyond the format.
Provided document: 
Hospital Course:
A 77-year-old Caucasian male was admitted with a severe occipital headache associated with nausea and asthenia, spreading to both sides and the front of the head. The patient was a former smoker and had a medical history of hypertension, type 2 diabetes mellitus, and obstructive chronic bronchitis. A cranial computed tomographic scan showed an enlarged pituitary gland compatible with macroadenoma, and a subsequent contrast-enhanced brain magnetic resonance imaging scan revealed a pituitary lesion consistent with pituitary apoplexy. Ultrasound and thyroid scintigraphy suggested immune-related subclinical hyperthyroidism in addition to pituitary apoplexy. During the patient's hospital admission, a hormonal reevaluation revealed secondary hypothyroidism due to pituitary apoplexy. The patient reported being on antihypertensive medications, oral antidiabetics, omeprazole, and prednisone 25 mg daily. The patient was started on levothyroxine substitution (50 μg/d) along with corticosteroid therapy, resulting in gradual recovery from the headache and asthenia. The patient was discharged and advised to continue levothyroxine and corticosteroid tapering for the next few weeks. Follow-up visits were arranged for monitoring. Six months later, the patient remained asymptomatic, with normal thyroid function tests while receiving levothyroxine substitution (50 μg/d), maintained partial response for chromophobe renal cell carcinoma anti-PD1 mAb, and complete resolution of the hemorrhagic areas detected in the initial MRI.
