ArticleMayo Clinic proceedings2021
Factors Associated With Severe COVID-19 Infection Among Persons of Different Ages Living in a Defined Midwestern US Population.
Article in Mayo Clinic proceedings, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Usefulness of linked data for infectious disease events: a systematic review.Epidemiology and infection · 2023Pooled it
- Association of COVID-19 Severity with Comorbidities: Results from the World Trade Center Health Registry.International journal of environmental research and public health · 2025Article
- Improving patient recruitment to randomised trials can be cost-effective: A case-study of dexamethasone from the RECOVERY trial.PloS one · 2025Article
- Development and external validation of the DOAT and DOATS scores: simple decision support tools to identify disease progression among nonelderly patients with mild/moderate COVID-19.BMC pulmonary medicine · 2023Article
- Serum butyrylcholinesterase as a marker of COVID-19 mortality: Results of the monocentric prospective observational study.Chemico-biological interactions · 2023Observational
- Host nasopharyngeal transcriptome dataset of a SARS-CoV-2 positive Italian cohort.Scientific data · 2023Article
- A Meta-Analysis on the Association between Peptic Ulcer Disease and COVID-19 Severity.Vaccines · 2023Review
- Neurological Manifestations of Coronavirus Disease 2019 in Hospitalized Patients: A Lebanese Cohort Study.Cureus · 2023Article
- Rates of Asymptomatic COVID-19 Infection and Associated Factors in Olmsted County, Minnesota, in the Prevaccination Era.Mayo Clinic proceedings. Innovations, quality & outcomes · 2022Article
- Vitamin D status and severity of COVID-19.Scientific reports · 2022Observational
- Clinical predictors of lung function in patients recovering from mild COVID-19.BMC pulmonary medicine · 2022Observational
- Anti-SARS-CoV-2 IgG antibody levels among Thai healthcare providers receiving homologous and heterologous COVID-19 vaccination regimens.Influenza and other respiratory viruses · 2022Article
- Early COVID-19 Hospitalizations Among New York State Residents with a History of Invasive Cancer.Journal of registry management · 2022Article
- Risk Factors for Severe COVID-19 in a Large Medical Records Linkage System in the United States.Mayo Clinic proceedings · 2021Article
Corrections and comments
- AssociatedDataset
Authors and funding
12 authors.
Funding
Abstract
objectiveTo identify risk factors associated with severe COVID-19 infection in a defined Midwestern US population overall and within different age groups. PATIENTS AND
methodsWe used the Rochester Epidemiology Project research infrastructure to identify persons residing in a defined 27-county Midwestern region who had positive results on polymerase chain reaction tests for COVID-19 between March 1, 2020, and September 30, 2020 (N=9928). Age, sex, race, ethnicity, body mass index, smoking status, and 44 chronic disease categories were considered as possible risk factors for severe infection. Severe infection was defined as hospitalization or death caused by COVID-19. Associations between risk factors and severe infection were estimated using Cox proportional hazard models overall and within 3 age groups (0 to 44, 45 to 64, and 65+ years).
resultsOverall, 474 (4.8%) persons developed severe COVID-19 infection. Older age, male sex, non-White race, Hispanic ethnicity, obesity, and a higher number of chronic conditions were associated with increased risk of severe infection. After adjustment, 36 chronic disease categories were significantly associated with severe infection. The risk of severe infection varied significantly across age groups. In particular, persons 0 to 44 years of age with cancer, chronic neurologic disorders, hematologic disorders, ischemic heart disease, and other endocrine disorders had a greater than 3-fold increased risk of severe infection compared with persons of the same age without those conditions. Associations were attenuated in older age groups.
conclusionOlder persons are more likely to experience severe infections; however, severe cases occur in younger persons as well. Our data provide insight regarding younger persons at especially high risk of severe COVID-19 infection.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.