Please assess the completion status of the following clinical trial:

Trial Title: Postmenopausal Women Estrogen and Progesterone Infusion

Study Design Characteristics:
- Allocation: NON_RANDOMIZED
- Intervention Model: PARALLEL
- Observational Model: None
- Primary Purpose: OTHER
- Time Perspective: None
- Masking: NONE
- Phase: PHASE1/PHASE2
- Number of Arms: 2.0

Eligibility Criteria:
Inclusion criteria:~postmenopausal women young (age 45-55) or old (age 70-80) History of natural menopause defined by the absence of menses for at least 12 months (or history of surgical menopause defined as bilateral oophorectomy) Normal TSH, PRL and CBC, and Factor V activity Normal BUN and Creatinine (\< 2 times the upper limit of normal) BMI between 18 to 30 kg/m2 An increased FSH measured at the screening visit will be consistent with menopause. If the initial determination is low, a repeat sample may be drawn.~Exclusion criteria:~Hormonal medication or herbal supplements and/or over the counter menopause therapy in the 2 months prior to study Any absolute contraindications to the use of physiologic replacement doses of estrogen and/or progesterone History of coronary artery disease Medications thought to act centrally on the GnRH pulse generator History of breast cancer or blood clots Smoking more than 10 cigarettes/day Prior history of allergic reaction to any dyes used with x-rays or scans and/ or any other contraindications to PET scans No metal implants, pacemakers, aneurysm clips, implanted hearing aids and/or any other contraindications to MRI scan

- Gender: FEMALE
- Minimum Age: 45 Years
- Maximum Age: 80 Years
- Healthy Volunteers: t

Study Arms:
- Young postmenopausal women (Type: ACTIVE_COMPARATOR): Graded estradiol infusion to young postmenopausal women. Graded progesterone infusion to young postmenopausal women.
- Older postmenopausal women (Type: ACTIVE_COMPARATOR): Graded estradiol infusion to young postmenopausal women. Graded progesterone infusion to young postmenopausal women..

Based on this trial design, predict the completion outcome and termination type (if applicable).