Evidence map›Paper›PMID 33821453›Full record

ArticleEating and weight disorders : EWD2022

Abdominal obesity phenotype is associated with COVID-19 chest X-ray severity score better than BMI-based obesity.

Alexis Elias Malavazos, Francesco Secchi, Sara Basilico, Gloria Capitanio, Sara Boveri, Valentina Milani, Carola Dubini, Simone Schiaffino, Lelio Morricone, Chiara Foschini and 10 more

Open access · bronzeAbstract read
In one paragraph

Article in Eating and weight disorders : EWD, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.8field-weighted citation impact, top 8% 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, 18 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

20 authors at 4 institutions in 2 countries.

Alexis Elias MalavazosEndocrinology Unit, Clinical Nutrition and Cardiovascular Prevention Service, IRCCS Policlinico San Donato, Piazza Edmondo Malan 2, San Donato Milanese, 20097, Milan, Italy. alexis.malavazos@gmail.com.ORCID https://orcid.org/0000-0002-0852-9625
Francesco SecchiRadiology Unit, IRCCS Policlinico San Donato, San Donato Milanese, Milan, Italy.
Sara BasilicoEndocrinology Unit, Clinical Nutrition and Cardiovascular Prevention Service, IRCCS Policlinico San Donato, Piazza Edmondo Malan 2, San Donato Milanese, 20097, Milan, Italy.
Gloria CapitanioEndocrinology Unit, Clinical Nutrition and Cardiovascular Prevention Service, IRCCS Policlinico San Donato, Piazza Edmondo Malan 2, San Donato Milanese, 20097, Milan, Italy.
Sara BoveriScientific Directorate, IRCCS Policlinico San Donato, San Donato Milanese, Milan, Italy.
Valentina MilaniScientific Directorate, IRCCS Policlinico San Donato, San Donato Milanese, Milan, Italy.
Carola DubiniEndocrinology Unit, Clinical Nutrition and Cardiovascular Prevention Service, IRCCS Policlinico San Donato, Piazza Edmondo Malan 2, San Donato Milanese, 20097, Milan, Italy.
Simone SchiaffinoRadiology Unit, IRCCS Policlinico San Donato, San Donato Milanese, Milan, Italy.
Lelio MorriconeEndocrinology Unit, Clinical Nutrition and Cardiovascular Prevention Service, IRCCS Policlinico San Donato, Piazza Edmondo Malan 2, San Donato Milanese, 20097, Milan, Italy.
Chiara FoschiniRadiology Unit, IRCCS Policlinico San Donato, San Donato Milanese, Milan, Italy.
Giulia GobboGeneral Medicine Unit, IRCCS Policlinico San Donato, San Donato Milanese, Milan, Italy.
Rosangela PiccinniGeneral Medicine Unit, IRCCS Policlinico San Donato, San Donato Milanese, Milan, Italy.
Alessandro SaibeneDepartment of General Medicine, Diabetes and Endocrinology, IRCCS Ospedale San Raffaele, Milan, Italy.
Francesco SardanelliRadiology Unit, IRCCS Policlinico San Donato, San Donato Milanese, Milan, Italy.
Lorenzo MenicantiScientific Directorate, IRCCS Policlinico San Donato, San Donato Milanese, Milan, Italy.
Marco GuazziDepartment of Biomedical Sciences for Health, Università Degli Studi Di Milano, Milan, Italy.
Chuanhui DongDepartment of Neurology, Leonard M. Miller School of Medicine, University of Miami, Coral Gables, FL, USA.
Massimiliano Marco Corsi RomanelliDepartment of Biomedical Sciences for Health, Università Degli Studi Di Milano, Milan, Italy.
Michele CarrubaDepartment of Medical Biotechnology and Translational Medicine, Center for Study and Research On Obesity, University of Milan, Milan, Italy.
Gianluca IacobellisDivision of Endocrinology, Diabetes and Metabolism, Department of Medicine, University of Miami, Coral Gables, FL, USA.
IRCCS Policlinico San Donato · ITUniversity of Milan · ITUniversity of Miami · USIRCCS Ospedale San Raffaele · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeChest X-ray (CXR) severity score and BMI-based obesity are predictive risk factors for COVID-19 hospital admission. However, the relationship between abdominal obesity and CXR severity score has not yet been fully explored.

methodsThis retrospective cohort study analyzed the association of different adiposity indexes, including waist circumference and body mass index (BMI), with CXR severity score in 215 hospitalized patients with COVID-19.

resultsPatients with abdominal obesity showed significantly higher CXR severity scores and had higher rates of CXR severity scores ≥ 8 compared to those without abdominal obesity (P < 0.001; P = 0.001, respectively). By contrast, patients with normal weight, with overweight and those with BMI-based obesity showed no significant differences in either CXR severity scores or in the rates of CXR severity scores ≥ 8 (P = 0.104; P = 0.271, respectively). Waist circumference and waist-to-height ratio (WHtR) correlated more closely with CXR severity scores than BMI (r = 0.43, P < 0.001; r = 0.41, P < 0.001; r = 0.17, P = 0.012, respectively). The area under the curves (AUCs) for waist circumference and WHtR were significantly higher than that for BMI in identifying a high CXR severity score (≥ 8) (0.68 [0.60-0.75] and 0.67 [0.60-0.74] vs 0.58 [0.51-0.66], P = 0.001). A multivariate analysis indicated abdominal obesity (risk ratio: 1.75, 95% CI: 1.25-2.45, P < 0.001), bronchial asthma (risk ratio: 1.73, 95% CI: 1.07-2.81, P = 0.026) and oxygen saturation at admission (risk ratio: 0.96, 95% CI: 0.94-0.97, P < 0.001) as the only independent factors associated with high CXR severity scores.

conclusionAbdominal obesity phenotype is associated with a high CXR severity score better than BMI-based obesity in hospitalized patients with COVID-19. Therefore, when visiting the patient in a hospital setting, waist circumference should be measured, and patients with abdominal obesity should be monitored closely. Level of evidence Cross-sectional descriptive study, Level V.

Indexed as

COVID-19Obesity, AbdominalBody Mass IndexCross-Sectional StudiesHumansObesityPhenotypeRetrospective StudiesRisk FactorsSARS-CoV-2Waist CircumferenceX-RaysAbdominal ObesityBody Mass IndexChest X-RayCOVID-19Interleukin 6Visceral Obesity

Identifiers

PMID33821453
PMCPMC8020829
OpenAlexW3145906110

What OpenQuestion holds

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Registered trials

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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.