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: Coronavirus disease 2019 (COVID-19) is a viral pulmonary infection that can progress to cytokine storm syndrome because of widespread dysregulated inflammatory response. Many patients at risk for severe COVID-19 manifestation have been identified as those with preexisting conditions of pulmonary origin, as well as conditions that impair appropriate immune response, such as obesity. OBJECTIVES: The aim of this study is to describe the manifestation, clinical course, and inflammatory biomarker milieu of COVID-19 in patients with obesity. SETTING: University Hospital Philadelphia, Pennsylvania. METHODS: In this retrospective cohort study, 600 patients who were positive for COVID-19 were stratified by World Health Organization (WHO) obesity class and their presenting symptoms, disease biomarkers, demographics, and outcomes (intubation rate, intensive care unit [ICU] admission, length of stay [LOS], and mortality) were investigated. RESULTS: Age was inversely related to obesity class; patients of obesity class III presented 12.9 years younger than patients of normal weight (P < .0001). Initial ferritin lab values were negatively correlated with increasing obesity class (P = .0192). Normal or near-normal lymphocyte profile was noted in patients with obesity compared with patients without obesity (P = .0017). Patients with obesity had an increased rate of ICU admission (P = .0215) and increased length of stay (P = .0004), but no differences in intubation rate (P = .3705) or mortality (P = .2486). CONCLUSION: Patients with obesity were more likely to present to the hospital at a younger age, with reduced levels of COVID-19 related biomarker disturbances, and increased LOS and ICU admission rates, although were not at increased risk for mortality.
["Diagnosis", "Treatment"]