Evidence map›Paper›PMID 36587209›Full record

ArticleCardiovascular diabetology2022

Cardiac adipose tissue volume assessed by computed tomography is a specific and independent predictor of early mortality and critical illness in COVID-19 in type 2-diabetic patients.

Etienne Charpentier, Alban Redheuil, Olivier Bourron, Samia Boussouar, Olivier Lucidarme, Mohamed Zarai, Nadjia Kachenoura, Khaoula Bouazizi, Joe-Elie Salem, Guillaume Hekimian and 8 more

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

Article in Cardiovascular diabetology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.1field-weighted citation impact, top 20% 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

6 citing papers in PubMed, 7 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

18 authors at 4 institutions in 2 countries.

Etienne CharpentierSorbonne Université, Unité d'imagerie cardiovasculaire et thoracique, Hôpital La Pitié Salpêtrière (AP-HP), Laboratoire d'Imagerie Biomédicale, INSERM, CNRS, Institute of Cardiometabolism and Nutrition, Paris, France, Paris, France.
Alban RedheuilSorbonne Université, Unité d'imagerie cardiovasculaire et thoracique, Hôpital La Pitié Salpêtrière (AP-HP), Laboratoire d'Imagerie Biomédicale, INSERM, CNRS, Institute of Cardiometabolism and Nutrition, Paris, France, Paris, France. alban.redheuil@aphp.fr.
Olivier BourronSorbonne Université, Département de diabétologie, Hôpital La Pitié Salpêtrière (AP-HP), Institute of Cardiometabolism and Nutrition, Paris, France, Paris, France.
Samia BoussouarSorbonne Université, Unité d'imagerie cardiovasculaire et thoracique, Hôpital La Pitié Salpêtrière (AP-HP), Laboratoire d'Imagerie Biomédicale, INSERM, CNRS, Institute of Cardiometabolism and Nutrition, Paris, France, Paris, France.
Olivier LucidarmeLaboratoire d'Imagerie Biomédicale, INSERM, CNRS, Institute of Cardiometabolism and Nutrition, Sorbonne Université, Paris, France.
Mohamed ZaraiInstitute of Cardiometabolism and Nutrition ICAN, Paris, France.
Nadjia KachenouraLaboratoire d'Imagerie Biomédicale, INSERM, CNRS, Institute of Cardiometabolism and Nutrition, Sorbonne Université, Paris, France.
Khaoula BouaziziLaboratoire d'Imagerie Biomédicale, INSERM, CNRS, Institute of Cardiometabolism and Nutrition, Sorbonne Université, Paris, France.
Joe-Elie SalemDepartment of Pharmacology, CIC-1901, INSERM, Assistance Publique-Hôpitaux de Paris (APHP), Sorbonne Université, Paris, France.
Guillaume HekimianAssistance Publique-Hôpitaux de Paris (AP-HP), Hôpital La Pitié-Salpêtrière, Service de Médecine Intensive Réanimation, Sorbonne Université, Paris, France.
Matthieu KerneisAP-HP, Hôpital La Pitié-Salpêtrière, ACTION Study Group, Département de Cardiologie, Sorbonne Université, Paris, France.
Zahir AmouraService de Médecine Interne 2, Centre National de Référence Maladies Systémiques Rares et Histiocytoses, Institut e3M, Hôpital de La Pitié-Salpêtrière, AP-HP, Sorbonne Université, 75013, Paris, France.
Yves AllenbachAP-HP, Département de Médecine Interne Et Immunologie Clinique, Hôpital Pitié-Salpêtrière, Sorbonne Université, Paris, France.
Stephane HatemInstitute of Cardiometabolism and Nutrition ICAN, Paris, France.
Anne-Caroline JeanninSorbonne Université, Département de diabétologie, Hôpital La Pitié Salpêtrière (AP-HP), Institute of Cardiometabolism and Nutrition, Paris, France, Paris, France.
Fabrizio AndreelliSorbonne Université, Département de diabétologie, Hôpital La Pitié Salpêtrière (AP-HP), Institute of Cardiometabolism and Nutrition, Paris, France, Paris, France.
Franck PhanSorbonne Université, Département de diabétologie, Hôpital La Pitié Salpêtrière (AP-HP), Institute of Cardiometabolism and Nutrition, Paris, France, Paris, France.
COVID-19 APHP. SU Group
Centre National de la Recherche Scientifique · FRSorbonne Université · FRInserm · FRUniversité Sorbonne Paris Nord · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients with type 2-diabetes mellitus (T2D), are characterized by visceral and ectopic adipose tissue expansion, leading to systemic chronic low-grade inflammation. As visceral adiposity is associated with severe COVID-19 irrespective of obesity, we aimed to evaluate and compare the predictive value for early intensive care or death of three fat depots (cardiac, visceral and subcutaneous) using computed tomography (CT) at admission for COVID-19 in consecutive patients with and without T2D.

methodsTwo hundred and two patients admitted for COVID-19 were retrospectively included between February and June 2020 and distributed in two groups: T2D or non-diabetic controls. Chest CT with cardiac (CATi), visceral (VATi) and subcutaneous adipose tissue (SATi) volume measurements were performed at admission. The primary endpoint was a composite outcome criteria including death or ICU admission at day 21 after admission. Threshold values of adipose tissue components predicting adverse outcome were determined.

resultsOne hundred and eight controls [median age: 76(IQR:59-83), 61% male, median BMI: 24(22-27)] and ninety-four T2D patients [median age: 70(IQR:61-77), 70% male, median BMI: 27(24-31)], were enrolled in this study. At day 21 after admission, 42 patients (21%) had died from COVID-19, 48 (24%) required intensive care and 112 (55%) were admitted to a conventional care unit (CMU). In T2D, CATi was associated with early death or ICU independently from age, sex, BMI, dyslipidemia, CRP and coronary calcium (CAC). (p = 0.005). Concerning T2D patients, the cut-point for CATi was  > 100 mL/m

conclusionsCardiac adipose tissue volume measured in CT at admission was independently predictive of early intensive care or death in T2D patients with COVID-19 but not in non-diabetics. Such automated CT measurement could be used in routine in diabetic patients presenting with moderate to severe COVID-19 illness to optimize individual management and prevent critical evolution.

Indexed as

COVID-19Diabetes Mellitus, Type 2Adipose TissueAgedCritical IllnessFemaleHumansMaleObesityRetrospective StudiesTomography, X-Ray ComputedCardiac adipose tissueComputed tomographyCOVID-19Intensive careMortalityType 2 diabetes (T2D)

Identifiers

PMID36587209
PMCPMC9805370
OpenAlexW4313345878

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.