Evidence map›Paper›PMID 34473791›Full record

ArticlePloS one2021

Risk factors for hospitalization among persons with COVID-19-Colorado.

Grace M Vahey, Emily McDonald, Kristen Marshall, Stacey W Martin, Helen Chun, Rachel Herlihy, Jacqueline E Tate, Breanna Kawasaki, Claire M Midgley, Nisha Alden and 3 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 2 pooled it
3.4field-weighted citation impact, top 6% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

35 citing papers in PubMed, 2 syntheses or guidelines pooled it, 58 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Physical impairments in individuals with Long COVID.Frontiers in sports and active living · 2025
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  15. Microvascular hypertensive disease, Long COVID, and end-organ pathology.Hypertension research : official journal of the Japanese Society of Hypertension · 2023
    Article
  16. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 2 institutions in 1 country.

Grace M VaheyCenters for Disease Control and Prevention, Atlanta, Georgia, United States of America.ORCID 0000-0002-6766-1933
Emily McDonaldCenters for Disease Control and Prevention, Atlanta, Georgia, United States of America.
Kristen MarshallCenters for Disease Control and Prevention, Atlanta, Georgia, United States of America.ORCID 0000-0003-4484-7011
Stacey W MartinCenters for Disease Control and Prevention, Atlanta, Georgia, United States of America.
Helen ChunCenters for Disease Control and Prevention, Atlanta, Georgia, United States of America.
Rachel HerlihyColorado Department of Public Health and Environment, Denver, Colorado, United States of America.
Jacqueline E TateCenters for Disease Control and Prevention, Atlanta, Georgia, United States of America.
Breanna KawasakiColorado Department of Public Health and Environment, Denver, Colorado, United States of America.
Claire M MidgleyCenters for Disease Control and Prevention, Atlanta, Georgia, United States of America.
Nisha AldenColorado Department of Public Health and Environment, Denver, Colorado, United States of America.
Marie E KillerbyCenters for Disease Control and Prevention, Atlanta, Georgia, United States of America.
J Erin StaplesCenters for Disease Control and Prevention, Atlanta, Georgia, United States of America.
Colorado Investigation Team
Centers for Disease Control and Prevention · USColorado Department of Public Health and Environment · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMost current evidence on risk factors for hospitalization because of coronavirus disease 2019 (COVID-19) comes from studies using data abstracted primarily from electronic health records, limited to specific populations, or that fail to capture over-the-counter medications and adjust for potential confounding factors. Properly understanding risk factors for hospitalization will help improve clinical management and facilitate targeted prevention messaging and forecasting and prioritization of clinical and public health resource needs.

objectivesTo identify risk factors for hospitalization using patient questionnaires and chart abstraction.

methodsWe randomly selected 600 of 1,738 laboratory-confirmed Colorado COVID-19 cases with known hospitalization status and illness onset during March 9-31, 2020. In April 2020, we collected demographics, social history, and medications taken in the 30 days before illness onset via telephone questionnaire and collected underlying medical conditions in patient questionnaires and medical record abstraction.

resultsOverall, 364 patients participated; 128 were hospitalized and 236 were non-hospitalized. In multivariable analysis, chronic hypoxemic respiratory failure with oxygen requirement (adjusted odds ratio [aOR] 14.64; 95% confidence interval [CI] 1.45-147.93), taking opioids (aOR 8.05; CI 1.16-55.77), metabolic syndrome (aOR 5.71; CI 1.18-27.54), obesity (aOR 3.35; CI 1.58-7.09), age ≥65 years (aOR 3.22; CI 1.20-7.97), hypertension (aOR 3.14; CI 1.47-6.71), arrhythmia (aOR 2.95; CI 1.00-8.68), and male sex (aOR 2.65; CI 1.44-4.88), were significantly associated with hospitalization.

conclusionWe identified patient characteristics, medications, and medical conditions, including some novel ones, associated with hospitalization. These data can be used to inform clinical and public health resource needs.

Indexed as

Surveys and QuestionnairesAdolescentAdultAgedColoradoCOVID-19HospitalizationHumansMaleMiddle AgedMultivariate AnalysisRisk FactorsSARS-CoV-2Young Adult

Identifiers

PMID34473791
PMCPMC8412293
OpenAlexW3198203647

What OpenQuestion holds

Textmetadata
LicenceCC0
Read underepoch 390

Registered trials

None linked

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.