Obesity-induced vena cava compression syndrome: a case report of a rare precipitant of a type 2 myocardial infarction in a patient with critical aortic stenosis.

Alexander M Sellers, Ferdous Alam, Jayme S Bennetts, Sam J Lehman, Ajay R Sinhal

Open access · goldAbstract readCase Reports

In one paragraph

Article in European heart journal. Case reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

0.2field-weighted citation impact, top 45% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

5 authors at 2 institutions in 1 country.

Alexander M SellersDepartment of Cardiology, Central Adelaide Local Health Network, Port Road, Adelaide, South Australia 5000, Australia.ORCID https://orcid.org/0000-0001-6601-1034

Ferdous AlamWhyalla Hospital and Health Service, Wood Terrace, Whyalla, South Australia 5600, Australia.

Jayme S BennettsDepartment of Cardiothoracic Surgery, Flinders Drive, Bedford Park, Adelaide, South Australia 5042, Australia.ORCID https://orcid.org/0000-0003-2398-8501

Sam J LehmanDepartment of Cardiology, Southern Adelaide Local Health Network, Flinders Drive, Bedford Park, Adelaide, South Australia 5042, Australia.

Ajay R SinhalDepartment of Cardiology, Southern Adelaide Local Health Network, Flinders Drive, Bedford Park, Adelaide, South Australia 5042, Australia.

Flinders University · AUWomen's and Children's Health Network · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Obesity is a global health problem of increasing prevalence with a broad range of multisystem complications. An under-recognized complication of severe obesity is the potential haemodynamic compromise that may arise due to pathological external compression of the inferior vena cava whilst lying in the supine position, a phenomenon known as obesity-induced vena cava compression syndrome. Case summary: A 56-year-old independent woman presented to a rural Australian hospital for routine dressing care for bilateral lymphoedema on a background of class III morbid obesity (weight 197 kg, body mass index 68.55 kg/m Discussion: We describe a case of suspected obesity-induced vena cava compression syndrome precipitating a type 2 myocardial infarction in a pre-load dependent patient with critical bicuspid valve aortic stenosis. This case highlights a potential haemodynamic consequence of morbid obesity in the supine position.

Indexed as

Aortic stenosisBicuspid aortic valveCase reportTAVI

Identifiers

PMID36600800

DOI10.1093/ehjcr/ytac465

PMCPMC9799189

OpenAlexW4311700817

What OpenQuestion holds

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LicenceCC BY-NC

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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.