Please assess the completion status of the following clinical trial:

Trial Title: The Effects of Nutritional Support of Critically Ill Patients Requiring Mechanical Ventilation

Study Design Characteristics:
- Allocation: RANDOMIZED
- Intervention Model: PARALLEL
- Observational Model: None
- Primary Purpose: TREATMENT
- Time Perspective: None
- Masking: NONE
- Phase: None
- Number of Arms: 2.0

Eligibility Criteria:
Inclusion Criteria:~1. Adult patient, 18 years or older admitted with acute respiratory failure (PaO2/FiO2 \<300), needing mechanical ventilation. Are expected to be require mechanical ventilation for more than 48 hours.~2. Patients who are to receive enteral feeding via a gastric or post-pyloric feeding tube.~3. Patients or their next-of-kin consent to participate in the study. -~Exclusion Criteria:~1. Patients under the age of 18 years~2. Patients with contra-indications to enteral feeding~3. Patients receiving total parental nutrition~4. Patients who are already enrolled in another study that may influence the outcome of this study.~5. Patients who are not receiving active medical management or are expected to die within 24 hours at the time of study entry.~6. Patients with diabetes mellitus, renal failure or liver failure.~7. Patients or next-of-kin who do not consent to participate in the study. -

- Gender: ALL
- Minimum Age: 18 Years
- Maximum Age: None
- Healthy Volunteers: f

Study Arms:
- Standard Therapy Group (Type: OTHER): Standard therapy group. Will receive high carbohydrate, low fat enteral feeding, (16.7% protein, 30% fat and 53.3% carbohydrate). The target rate is determined by the treating physician and dietician, for a minimum of 5 days following randomisation.
- Alternative Therapy Group (Type: OTHER): 2.Alternative therapy group will receive high-fat, low carbohydrate enteral feeding, (16.7% protein, 55.2% fat and 28.1% carbohydrates. At a target rate determined by the treating physician and dietician, for a maximum of 5 days following randomisation.

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