Evidence map›Paper›PMID 36184240›Full record

Observational studyClinical nutrition ESPEN2022

The impact of body composition on mortality of COVID-19 hospitalized patients: A prospective study on abdominal fat, obesity paradox and sarcopenia.

Elena Graziano, Maddalena Peghin, Maria De Martino, Chiara De Carlo, Andrea Da Porto, Luca Bulfone, Viviana Casarsa, Emanuela Sozio, Martina Fabris, Adriana Cifù and 6 more

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in Clinical nutrition ESPEN, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
2.2field-weighted citation impact, top 10% 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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 23 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

16 authors at 2 institutions in 1 country.

Elena GrazianoDivision of Infectious Diseases, Department of Medicine, University of Udine, Azienda Sanitaria Universitaria Friuli Centrale (ASUFC), Udine, Italy; Infectious and Tropical Diseases Unit, Department of Medicine and Surgery, University of Insubria, ASST-Sette Laghi, Varese, Italy.
Maddalena PeghinDivision of Infectious Diseases, Department of Medicine, University of Udine, Azienda Sanitaria Universitaria Friuli Centrale (ASUFC), Udine, Italy; Infectious and Tropical Diseases Unit, Department of Medicine and Surgery, University of Insubria, ASST-Sette Laghi, Varese, Italy. Electronic address: maddalena.peghin@gmail.com.
Maria De MartinoDivision of Medical Statistic, Department of Medicine, University of Udine, Azienda Sanitaria Universitaria Friuli Centrale (ASUFC), Udine, Italy.
Chiara De CarloDivision of Infectious Diseases, Department of Medicine, University of Udine, Azienda Sanitaria Universitaria Friuli Centrale (ASUFC), Udine, Italy.
Andrea Da PortoDivision of Internal Medicine, Department of Medicine, University of Udine, Udine, Italy.
Luca BulfoneDivision of Internal Medicine, Department of Medicine, University of Udine, Udine, Italy.
Viviana CasarsaDivision of Internal Medicine, Department of Medicine, University of Udine, Udine, Italy.
Emanuela SozioDivision of Infectious Diseases, Department of Medicine, University of Udine, Azienda Sanitaria Universitaria Friuli Centrale (ASUFC), Udine, Italy.
Martina FabrisDivision of Laboratory Medicine, University of Udine, Azienda Sanitaria Universitaria Friuli Centrale (ASUFC), Udine, Italy.
Adriana CifùDivision of Laboratory Medicine, University of Udine, Azienda Sanitaria Universitaria Friuli Centrale (ASUFC), Udine, Italy.
Bruno GrassiDepartment of Medicine, University of Udine, Udine, Italy.
Francesco CurcioDivision of Laboratory Medicine, University of Udine, Azienda Sanitaria Universitaria Friuli Centrale (ASUFC), Udine, Italy.
Miriam IsolaDivision of Medical Statistic, Department of Medicine, University of Udine, Azienda Sanitaria Universitaria Friuli Centrale (ASUFC), Udine, Italy.
Leonardo Alberto SechiDivision of Internal Medicine, Department of Medicine, University of Udine, Udine, Italy.
Carlo TasciniDivision of Infectious Diseases, Department of Medicine, University of Udine, Azienda Sanitaria Universitaria Friuli Centrale (ASUFC), Udine, Italy.
GIRA-COVID study group
University of Udine · ITUniversity of Insubria · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND &

aimsObesity has been described as a predisposing risk factor to severe forms of COVID-19, but conflicting results are emerging on its real impact on the mortality of COVID-19. We aimed to compare clinical outcomes and mortality among COVID-19 patients according to obesity, metabolic syndrome and adiposity distribution.

methodsWe conducted a prospective observational study of all consecutive adult patients with a confirmed diagnosis of SARS-CoV-2 infection admitted to the Infectious Diseases Clinic at Udine Hospital, Italy, from January 2021 to February 2021. At admission, the study population was submitted to specific anthropometric, laboratory and bioimpedance analysis (BIA) measurements and divided into five groups according to: 1) BMI < or >30 kg/m

resultsA total of 195 patients were enrolled in the study. The mean age of patients was 71 years (IQR 61-80) and 64.6% (126) were male. The most common comorbidities were hypertension (55.9%) and MS (55.4%). Overall mortality was 19.5%. Abdominal adiposity, measured both with WC and with BIA, and SP were significantly associated with need for increased ventilator support (p = 0.013 for WC; p = 0.037, 0.027 and 0.009 for VAT; p = 0.004 and 0.036 for FMI; and p = 0.051 for SP), but not with ICU admission (WC p = 0.627, VAT p = 0.153, FMI p = 0.519 and SP p = 0.938), length of stay (WC p = 0.345, VAT p = 0.650, FMI p = 0.159 and SP p = 0.992) and mortality (WC p = 0.277, VAT p = 0.533, FMI p = 0.957 and SP p = 0.211). Obesity and MS did not discriminate for the intensity of ventilatory outcome (p = 0.142 and p = 0.198, respectively), ICU admission (p = 0.802 and p = 0.947, respectively), length of stay (p = 0.471 and p = 0.768, respectively) and mortality (p = 0.495 and p = 0.268, respectively). We did not find significant differences in inflammatory markers and secondary complications within the five groups.

conclusionsIn patients admitted with COVID-19, increased WC, visceral abdominal fat and SP are associated with higher need for ventilatory support. However, obesity, MS, SP and abdominal adiposity are not sensitive predictive factors for mortality.

Indexed as

COVID-19Metabolic SyndromeSarcopeniaAbdominal FatAdultAgedAged, 80 and overBody CompositionBody Mass IndexFemaleHumansMaleMiddle AgedObesityObesity, AbdominalProspective StudiesBioimpedance analysisBMIObesity paradoxSarcopeniaSARS-CoV-2Waist circumference

Identifiers

PMID36184240
PMCPMC9295328
OpenAlexW4286250642

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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.