Evidence mapPaperPMID 39512557Full record

ArticleInternational journal of critical illness and injury science

Association of obesity and mortality in patients with COVID-19 acute respiratory distress syndrome: A retrospective cohort study.

Madhavi Mahesh Telang, Samrat Waghaye, Elangho Muthusamy, Sunil Choudhary, Zeyad Faoor Alrais, Fathima Kasim, Khalid Ismail Khatib

Abstract read
In one paragraph

Article in International journal of critical illness and injury science. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Madhavi Mahesh TelangRashid Hospital and Emergency Trauma Centre, Intensive Care Unit, Dubai, United Arab Emirates.
Samrat WaghayeRashid Hospital and Emergency Trauma Centre, Intensive Care Unit, Dubai, United Arab Emirates.
Elangho MuthusamyRashid Hospital and Emergency Trauma Centre, Intensive Care Unit, Dubai, United Arab Emirates.
Sunil ChoudharyRashid Hospital and Emergency Trauma Centre, Intensive Care Unit, Dubai, United Arab Emirates.
Zeyad Faoor AlraisRashid Hospital and Emergency Trauma Centre, Intensive Care Unit, Dubai, United Arab Emirates.
Fathima KasimRashid Hospital and Emergency Trauma Centre, Intensive Care Unit, Dubai, United Arab Emirates.
Khalid Ismail KhatibDepartment of Medicine, SKN Medical College, Pune, Maharashtra, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Chronic conditions such as obesity are associated with adverse outcomes in coronavirus disease 2019 (COVID-19) acute respiratory distress syndrome (ARDS) patients. The aim of our study was to evaluate the relationship between BMI and outcomes in critically ill patients with COVID-19 ARDS. Methods: A retrospective study including all patients with COVID-19 and ARDS on mechanical ventilation admitted to the intensive care unit (ICU) over 2 years. Patients with obesity (BMI ≥30 kg/m Results: One hundred and eight patients were included in the study. The mean age of patients was 52 years, and 94 (87%) patients were males. As compared to COVID-19 ARDS patients without obesity, COVID-19 patients with obesity were more prone to develop complications like AKI, necessitating continuous RRT ( Conclusion: Our study concludes that patients with COVID-19 ARDS who are obese are not at higher risk of mortality and more likely to develop renal complications. When these patients develop cardiac complications or bloodstream infections, they have a significantly higher risk of mortality.

Indexed as

Acute respiratory distress syndromecoronavirus disease 2019obesity

Identifiers

PMID39512557
PMCPMC11540193

What Socratic holds

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LicenceCC BY-NC-SA
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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 Socratic graph.