You are presented with a paragraph from a COVID-19 literature. Classify the topics of this piece of text by choosing from the following categories:

- Epidemic Forecasting: The content relates to predictions about the spread of COVID-19.
- Treatment: The paragraph discusses therapeutic methods or medication for COVID-19.
- Prevention: The content covers measures to prevent the spread of COVID-19.
- Mechanism: The paragraph explains the biological mechanisms of the virus.
- Case Report: The content is a report of a COVID-19 case.
- Transmission: The paragraph discusses how COVID-19 is transmitted.
- Diagnosis: The content is about diagnosing COVID-19 in individuals.

Your classification should be provided as an element within a JSON array. The array should be formatted with topics enclosed in double quotes and separated by commas, following the JSON format, for example: ["Topic1", "Topic2", ...]. Include all applicable topics within the array. Your output should be a valid JSON array, and no additional text should be included in your response.

Article:

Background: Simple tests of routine data are needed in those with coronavirus 2 (SARS-CoV-2) 2019, or COVID-19 to help identify those you may need mechanical ventilation (MV). Objective: To determine if FIB-4 is associated need for MV in a multi-ethnic, national cohort of patients with COVID-19 and if so, to determine the optimal FIB-4 cutoff. Patients and Methods: This was a retrospective national cohort study of adults seen in an ambulatory or emergency department setting diagnosed with COVID-19 identified using the TriNetX platform. Measures included demographics, comorbid diseases, and routine laboratory tests. Results: A total of 4901 patients with COVID-19 were included: mean age was 56, 48% female, 42% obese, 38% White, 40% Black, cardiac disease 15%, diabetes mellitus (DM) 39%, liver disease 20%, and respiratory disease 50%. Need for MV was 6%. The optimal cutoff FIB-4 for need for mechanical ventilation was 3.04 (AUC 0.735) which had a sensitivity, specificity, positive and negative predictive values of 42%, 77%, 11%, and 95%, respectively with 93% accuracy. When stratified by race, increased FIB-4 remained associated with need for mechanical ventilation in both Whites and Blacks. Conclusions: FIB-4 can be used by front line providers to identify which patients may require MV.
["Diagnosis", "Treatment"]