A Midwest COVID-19 Cohort for the Evaluation of Multimorbidity and Adverse Outcomes from COVID-19

Sanjeev Nanda, Loren Toussaint, Ann Vincent, Karen M. Fischer, Ryan Hurt, Darrell R. Schroeder, Audry S. Chacin Suarez, Jose R. Medina Inojosa, John C. O’Horo, Ramona S. DeJesus, Haitham S. Abu Lebdeh, Manpreet S. Mundi, Salma Iftikhar, Ivana T. Croghan

Research output: Contribution to journalArticlepeer-review


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.

Original languageEnglish (US)
JournalJournal of Primary Care and Community Health
StatePublished - 2021


  • comorbidity
  • covid-19
  • pandemic
  • patient cohort
  • registry

ASJC Scopus subject areas

  • Community and Home Care
  • Public Health, Environmental and Occupational Health


Dive into the research topics of 'A Midwest COVID-19 Cohort for the Evaluation of Multimorbidity and Adverse Outcomes from COVID-19'. Together they form a unique fingerprint.

Cite this