Evidence map›Paper›PMID 34383798›Full record

ArticlePloS one2021

Obesity is independently associated with septic shock, renal complications, and mortality in a multiracial patient cohort hospitalized with COVID-19.

Gabrielle Page-Wilson, Rachel Arakawa, Samantha Nemeth, Fletcher Bell, Zachary Girvin, Mary-Claire Tuohy, Max Lauring, Blandine Laferrère, Gissette Reyes-Soffer, Karthik Natarajan 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 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
1.2field-weighted citation impact, top 18% 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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 22 citations in OpenAlex.

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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 3 institutions in 1 country.

Gabrielle Page-WilsonDivision of Endocrinology, Diabetes, & Metabolism, Department of Medicine, College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, New York, United States of America.ORCID 0000-0002-4064-1211
Rachel ArakawaDivision of Endocrinology, Diabetes, & Metabolism, Department of Medicine, College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, New York, United States of America.
Samantha NemethColumbia HeartSource, Center for Innovation and Outcomes Research, Columbia University Irving Medical Center, New York, New York, United States of America.
Fletcher BellVagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, New York, United States of America.
Zachary GirvinVagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, New York, United States of America.
Mary-Claire TuohyVagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, New York, United States of America.ORCID 0000-0003-0600-9834
Max LauringVagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, New York, United States of America.
Blandine LaferrèreDivision of Endocrinology, Diabetes, & Metabolism, Department of Medicine, College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, New York, United States of America.
Gissette Reyes-SofferDivision of Preventive Medicine and Nutrition, College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, New York, United States of America.
Karthik NatarajanDepartment of Biomedical Informatics, College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, New York, United States of America.
RuiJun ChenDepartment of Biomedical Informatics, College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, New York, United States of America.
Paul KurlanskyColumbia HeartSource, Center for Innovation and Outcomes Research, Columbia University Irving Medical Center, New York, New York, United States of America.
Judith KornerDivision of Endocrinology, Diabetes, & Metabolism, Department of Medicine, College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, New York, United States of America.
Columbia University · USCenter for Innovation · USGeisinger Health System · US

Funding

Institutional Clinical and Translational Science AwardUL1TR000003 · NCATS · UNIVERSITY OF PENNSYLVANIA · PI FITZGERALD, GARRET A · 2012 to 2015
$38.9M
NCATS NIH HHS UL1 TR000003
6 · The paper itself

Abstract

backgroundObesity has emerged as a risk factor for severe coronavirus disease 2019 (COVID-19) infection. To inform treatment considerations the relationship between obesity and COVID-19 complications and the influence of race, ethnicity, and socioeconomic factors deserves continued attention.

objectiveTo determine if obesity is an independent risk factor for severe COVID-19 complications and mortality and examine the relationship between BMI, race, ethnicity, distressed community index and COVID-19 complications and mortality.

methodsA retrospective cohort study of 1,019 SARS-CoV-2 positive adult admitted to an academic medical center (n = 928) and its affiliated community hospital (n-91) in New York City from March 1 to April 18, 2020.

resultsMedian age was 64 years (IQR 52-75), 58.7% were men, 23.0% were Black, and 52.8% were Hispanic. The prevalence of overweight and obesity was 75.2%; median BMI was 28.5 kg/m2 (25.1-33.0). Over the study period 23.7% patients died, 27.3% required invasive mechanical ventilation, 22.7% developed septic shock, and 9.1% required renal replacement therapy (RRT). In the multivariable logistic regression model, BMI was associated with complications including intubation (Odds Ratio [OR]1.03, 95% Confidence Interval [CI]1.01-1.05), septic shock (OR 1.04, CI 1.01-1.06), and RRT (OR1.07, CI 1.04-1.10), and mortality (OR 1.04, CI 1.01-1.06). The odds of death were highest among those with BMI ≥ 40 kg/m2 (OR 2.05, CI 1.04-4.04). Mortality did not differ by race, ethnicity, or socioeconomic distress score, though Black and Asian patients were more likely to require RRT. CONCLUSIONS AND RELEVANCE: Severe complications of COVID-19 and death are more likely in patients with obesity, independent of age and comorbidities. While race, ethnicity, and socioeconomic status did not impact COVID-19 related mortality, Black and Asian patients were more likely to require RRT. The presence of obesity, and in some instances race, should inform resource allocation and risk stratification in patients hospitalized with COVID-19.

Indexed as

AdultAgedAged, 80 and overCOVID-19FemaleHospitalizationHospital MortalityHumansKidney DiseasesMaleMiddle AgedNew York CityObesityRetrospective StudiesRisk FactorsShock, Septic

Identifiers

PMID34383798
PMCPMC8360607
OpenAlexW3188519846

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.