Evidence map›Paper›PMID 36577559›Full record

ArticleObesity research & clinical practice

Association between body-mass index, patient characteristics, and obesity-related comorbidities among COVID-19 patients: A prospective cohort study.

Ling Tong, Masoud Khani, Qiang Lu, Bradley Taylor, Kristen Osinski, Jake Luo

Open access · greenAbstract read
In one paragraph

Article in Obesity research & clinical practice. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 11% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
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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

6 authors at 3 institutions in 2 countries.

Ling TongUniversity of Wisconsin-Milwaukee, Department of Health Informatics and Administration, Milwaukee, WI, USA.
Masoud KhaniUniversity of Wisconsin-Milwaukee, Department of Engineering and Applied Science, Milwaukee, WI, USA.
Qiang LuChina University of Petroleum, Department of Computer Science and Technology, Beijing, China.
Bradley TaylorMedical College of Wisconsin, Clinical and Translational Science Institute of Southeastern Wisconsin, Milwaukee, WI, USA.
Kristen OsinskiMedical College of Wisconsin, Clinical and Translational Science Institute of Southeastern Wisconsin, Milwaukee, WI, USA.
Jake LuoUniversity of Wisconsin-Milwaukee, Department of Health Informatics and Administration, Milwaukee, WI, USA. Electronic address: jakeluo@uwm.edu.
University of Wisconsin–Milwaukee · USMedical College of Wisconsin · USChina University of Petroleum, Beijing · CN

Funding

Clinical and Translational Science AwardUL1TR001436 · NCATS · MEDICAL COLLEGE OF WISCONSIN · PI FREED, JULIE K · 2015 to 2025
$47.5M
NCATS NIH HHS UL1 TR001436
6 · The paper itself

Abstract

objectiveObesity is a major risk factor for adverse outcomes after COVID-19 infection. However, it is unknown if the worse outcomes are due to the confounding effect of demographic and obesity-related comorbidities. The study objective is to analyze associations between body mass index, patient characteristics, obesity-related comorbidity, and clinical outcomes in COVID-19 patients.

methodsIn this prospective cohort study, we chose patient records between March 1st, 2020, and December 1st, 2022, in a large tertiary care center in southeast Wisconsin in the United States. Patients over the age of 18 who tested positive were included in the study. Clinical outcomes included hospitalization, intensive care unit (ICU) admission, mechanical ventilation, and mortality rates. We examined the characteristics of patients who had positive clinical outcomes. We created unadjusted logistic regression models, sequentially adjusting for demographic and comorbidity variables, to assess the independent associations between BMI, patient characteristics, obesity-related comorbidities, and clinical outcomes.

resultsFrom a record of 1.67 million inpatients and outpatients at Froedtert Health Center, 55,299 (BMI: 30.5 ± 7.4 kg/m

conclusionObesity alone does not increase the risk of worse clinical outcomes after COVID-19 infection. It may suggest that the worse clinical outcomes of patients with obesity are mediated via hypertension and type 2 diabetes. Patients with obesity and comorbidities have a higher risk of poor outcomes. Obesity-related comorbidities, including hypertension and diabetes, are independently associated with poorer clinical outcomes among COVID-19 patients. At a BMI of more than 30 kg/m

Indexed as

COVID-19Diabetes Mellitus, Type 2HypertensionAdultBody Mass IndexComorbidityFemaleHospitalizationHumansMaleMiddle AgedObesityProspective StudiesRetrospective StudiesRisk FactorsSARS-CoV-2Association AnalysisCOVID-19DiabetesHypertensionObesity

Identifiers

PMID36577559
PMCPMC9763214
OpenAlexW4312083189

What OpenQuestion holds

Textmetadata
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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.