Evidence map›Paper›PMID 34197283›Full record

ArticlePreventing chronic disease2021

Underlying Medical Conditions and Severe Illness Among 540,667 Adults Hospitalized With COVID-19, March 2020-March 2021.

Lyudmyla Kompaniyets, Audrey F Pennington, Alyson B Goodman, Hannah G Rosenblum, Brook Belay, Jean Y Ko, Jennifer R Chevinsky, Lyna Z Schieber, April D Summers, Amy M Lavery and 10 more

Open access · diamondAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Preventing chronic disease, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 218 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
218citing papers in PubMed, 3 pooled it
33.6field-weighted citation impact, top 1% 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

218 citing papers in PubMed, 3 syntheses or guidelines pooled it, 357 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  4. SARS-CoV-2 Plasma Antibody and Nucleocapsid Antigen Status Predict Outcomes in Outpatients With COVID-19.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2024
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  18. Where Inequities Emerge: Racial and Ethnic Differences Across the COVID-19 Hospitalization Continuum.International journal of environmental research and public health · 2026
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  20. Article

158 more citing papers are in PubMed but not listed here.

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

20 authors at 3 institutions in 1 country.

Lyudmyla KompaniyetsCOVID-19 Response, Centers for Disease Control and Prevention, Atlanta, Georgia.
Audrey F PenningtonCOVID-19 Response, Centers for Disease Control and Prevention, Atlanta, Georgia.
Alyson B GoodmanCOVID-19 Response, Centers for Disease Control and Prevention, Atlanta, Georgia.
Hannah G RosenblumCOVID-19 Response, Centers for Disease Control and Prevention, Atlanta, Georgia.
Brook BelayCOVID-19 Response, Centers for Disease Control and Prevention, Atlanta, Georgia.
Jean Y KoCOVID-19 Response, Centers for Disease Control and Prevention, Atlanta, Georgia.
Jennifer R ChevinskyCOVID-19 Response, Centers for Disease Control and Prevention, Atlanta, Georgia.
Lyna Z SchieberCOVID-19 Response, Centers for Disease Control and Prevention, Atlanta, Georgia.
April D SummersCOVID-19 Response, Centers for Disease Control and Prevention, Atlanta, Georgia.
Amy M LaveryCOVID-19 Response, Centers for Disease Control and Prevention, Atlanta, Georgia.
Leigh Ellyn PrestonCOVID-19 Response, Centers for Disease Control and Prevention, Atlanta, Georgia.
Melissa L DanielsonCOVID-19 Response, Centers for Disease Control and Prevention, Atlanta, Georgia.
Zhaohui CuiCOVID-19 Response, Centers for Disease Control and Prevention, Atlanta, Georgia.
Gonza NamulandaCOVID-19 Response, Centers for Disease Control and Prevention, Atlanta, Georgia.
Hussain YusufCOVID-19 Response, Centers for Disease Control and Prevention, Atlanta, Georgia.
William R Mac KenzieCOVID-19 Response, Centers for Disease Control and Prevention, Atlanta, Georgia.
Karen K WongCOVID-19 Response, Centers for Disease Control and Prevention, Atlanta, Georgia.
James BaggsCOVID-19 Response, Centers for Disease Control and Prevention, Atlanta, Georgia.
Tegan K BoehmerCOVID-19 Response, Centers for Disease Control and Prevention, Atlanta, Georgia.
Adi V GundlapalliCOVID-19 Response, Centers for Disease Control and Prevention, Atlanta, Georgia.
Centers for Disease Control and Prevention · USUnited States Public Health Service Commissioned Officers Association · USEpidemic Intelligence Service · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSevere COVID-19 illness in adults has been linked to underlying medical conditions. This study identified frequent underlying conditions and their attributable risk of severe COVID-19 illness.

methodsWe used data from more than 800 US hospitals in the Premier Healthcare Database Special COVID-19 Release (PHD-SR) to describe hospitalized patients aged 18 years or older with COVID-19 from March 2020 through March 2021. We used multivariable generalized linear models to estimate adjusted risk of intensive care unit admission, invasive mechanical ventilation, and death associated with frequent conditions and total number of conditions.

resultsAmong 4,899,447 hospitalized adults in PHD-SR, 540,667 (11.0%) were patients with COVID-19, of whom 94.9% had at least 1 underlying medical condition. Essential hypertension (50.4%), disorders of lipid metabolism (49.4%), and obesity (33.0%) were the most common. The strongest risk factors for death were obesity (adjusted risk ratio [aRR] = 1.30; 95% CI, 1.27-1.33), anxiety and fear-related disorders (aRR = 1.28; 95% CI, 1.25-1.31), and diabetes with complication (aRR = 1.26; 95% CI, 1.24-1.28), as well as the total number of conditions, with aRRs of death ranging from 1.53 (95% CI, 1.41-1.67) for patients with 1 condition to 3.82 (95% CI, 3.45-4.23) for patients with more than 10 conditions (compared with patients with no conditions).

conclusionCertain underlying conditions and the number of conditions were associated with severe COVID-19 illness. Hypertension and disorders of lipid metabolism were the most frequent, whereas obesity, diabetes with complication, and anxiety disorders were the strongest risk factors for severe COVID-19 illness. Careful evaluation and management of underlying conditions among patients with COVID-19 can help stratify risk for severe illness.

Indexed as

COVID-19Diabetes ComplicationsMultimorbidityObesityPhobic DisordersAgedAge FactorsComorbidityFemaleHospitalizationHumansMaleMortalityNoncommunicable DiseasesRisk AssessmentRisk Factors

Identifiers

PMID34197283
PMCPMC8269743
OpenAlexW3175366879

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.