OBJECTIVE: To describe the process and outcome of creating a patient cohort in the early stages of the COVID-19 pandemic in order to better understand the process of and predict the outcomes of COVID-19 . PATIENTS AND
METHODS: A total of 1169 adults aged 18 years of age or older who tested positive in Mayo Clinic Rochester or the Mayo Clinic Midwest Health System between January 1 and May 23 of 2020 .
RESULTS: Patients were on average 43.9 years of age and 50.7% were female . Most patients were white (69.0 %), and Blacks (23.4 %) and Asians (5.8 %) were also represented in larger numbers . Hispanics represented 16.3% of the sample . Just under half of patients were married (48.4 %). Common comorbid conditions included: cardiovascular diseases (25.1 %), dyslipidemia (16.0 %), diabetes mellitus (11.2 %), chronic obstructive pulmonary disease (6.6 %), asthma (7.5 %), and cancer (5.1 %). All other comorbid conditions were less the 5% in prevalence . Data on 3 comorbidity indices are also available including the: DHHS multi-morbidity score, Charlson Comorbidity Index, and Mayo Clinic COVID-19 Risk Factor Score .
CONCLUSION: In addition to managing the ever raging pandemic and growing death rates, it is equally important that we develop adequate resources for the investigation and understanding of COVID-19-related predictors and outcomes.