Evidence map›Paper›PMID 38846675›Full record

ArticleObesity pillars2024

In-hospital outcomes in metabolically healthy and unhealthy individuals over 65 years of age with obesity undergoing percutaneous intervention for acute coronary syndrome: A nationwide propensity-matched analysis (2016-2020).

Rupak Desai, Aobo Li, Avilash Mondal, Sashwat Srikanth, Alka Farmer, Lin Zheng

Abstract read
In one paragraph

Article in Obesity pillars, 2024. 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

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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

6 authors.

Rupak DesaiIndependent Researcher, Atlanta, GA, USA.
Aobo LiDepartment of Medicine, Inspira Health Network, Vineland, NJ, USA.
Avilash MondalDepartment of Medicine, Nazareth Hospital, PA, USA.
Sashwat SrikanthDepartment of Medicine, East Carolina University Health Medical Center, NC, USA.
Alka FarmerDepartment of Medicine, Inspira Health Network, Vineland, NJ, USA.
Lin ZhengDepartment of Medicine, Inspira Health Network, Vineland, NJ, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The obesity paradox in patients with coronary artery disease is well established, but the role of the metabolic syndrome associated with obesity is not well studied. Our study aims to evaluate the in-hospital outcomes of percutaneous coronary intervention (PCI) in metabolically healthy individuals with obesity (MHO) and metabolically unhealthy (MUHO) individuals with obesity over 65 years of age with acute coronary syndrome (ACS) between 2016 and 2020. Methods: This was a retrospective and observational study. Patients were identified through utilizing the National Inpatient Sample (NIS) Database (2016-2020) and ICD-10 codes. By employing a Results: Out of a total of 135,395 patients identified, 2995 patients with MUHO were matched with 2995 MHO patients. Patients in the MUHO group had a higher prevalence of chronic pulmonary disease (24.9 % vs. 19.5 %), peripheral vascular disease (9.3 % vs. 6.7 %), hypothyroidism (16 % vs. 11.5 %), prior myocardial infarction (15.9 % vs. 6.2 %), and prior stroke (7.5 % vs. 2.8 %). Patients in the MHO group had a higher ACM (12.4 % vs. 2.8 %, p < 0.001), CS (18.55 % vs. 7 %, p < 0.001), stroke (2.2 % vs. 1 %, p < 0.001), ventricular assist device insertions (5.2 % vs. 2.7 %, p < 0.001), and IABP insertions (8.8 % vs. 3.8 %) compared to the MUHO cohort. Conclusion: Our study revealed an obesity paradox in individuals over 65 years of age undergoing PCI demonstrating worse outcomes, including higher in-hospital mortality, CS, stroke, Ventricular assist device and IABP insertion in MHO patients compared to the MUHO cohort.

Indexed as

Acute coronary syndromeMetabolically healthy obesityMetabolically unhealthy obesityMortality/outcomesObesityPercutaneous coronary intervention

Identifiers

PMID38846675
PMCPMC11153894

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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.