Evidence map›Paper›PMID 40104006›Full record

ArticleObesity pillars2025

Prevalence and association of MASLD in metabolically healthy young Asian Americans with obesity: A nationwide inpatient perspective (2019).

Ahmad Alhomaid, Sukhjinder Chauhan, Yamini Katamreddy, Avideep Sidhu, Praveena Sunkara, Rupak Desai

Abstract read
In one paragraph

Article in Obesity pillars, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

2 citing papers in PubMed.

  1. Article
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4 · The record

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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.

Ahmad AlhomaidNazareth Hospital, 2601 Holme Ave, Philadelphia, PA, 19152, USA.
Sukhjinder ChauhanBaptist Floyd Hospital, New Albany, USA.
Yamini KatamreddySaint Michael's Medical Center, 111, Ave, Newark, NJ, 07102, USA.
Avideep SidhuAdesh Institute of Health & Medical Sciences, Bathinda, Punjab, 151001, India.
Praveena SunkaraPassion Health Primary Care, 8195 Custer Rd Ste 110, Frisco, TX, 75035, USA.
Rupak DesaiIndependent Researcher, Outcomes Research, Atlanta, GA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Metabolic dysfunction-associated steatotic liver disease (MASLD) is a leading cause of chronic liver disease worldwide. Although the epidemiology of MASLD and its association with metabolically healthy obesity (MHO) is well-studied in the United States, data for Asian Americans with MHO is limited. We sought to evaluate the association of MASLD in young Asian American patients with MHO. Methods: This was a retrospective, matched cohort, database review of Asian American Individuals. After excluding adult hospitalizations with metabolic risk factors (hypertension, diabetes, or hyperlipidemia), we identified all National Inpatient Sample (2019) admissions with obesity (MHO) and MASLD using relevant ICD-10-CM codes. We matched (1:1) propensity scores for age, sex, household income, hospital location, and teaching status to obtain cohorts with and without obesity (MHO+) vs. (MHO-). Categorical and continuous data were compared using the Chi-square and Mann-Whitney U tests. The primary endpoint was the prevalence and adjusted multivariable odds/predictors of MASLD in (MHO+) vs. (MHO-) cohort. Results: In the adjusted multivariate regression for demographics, and comorbidities, the (MHO+) cohort was associated with higher odds of admissions with MASLD (OR 4.07, 95%CI 2.02-8.19, p ​< ​0.001). In addition, among the (MHO+) cohort, higher rates of MASLD-related hospitalizations were observed in males (OR 8.40, p ​< ​0.001), females (OR 2.69, p ​= ​0.025), high-income quartiles (OR 10.51, p ​< ​0.001), no prior bariatric surgery (OR 4.07, p ​< ​0.001), non-tobacco users(OR 4.16, p ​< ​0.001), and non-hypothyroid patients (OR 4.00, p ​< ​0.001) compared to the (MHO-) cohort. There was no statistically significant difference in the groups with low-income quartiles, tobacco use disorder, and hypothyroidism. Conclusion: This nationwide analysis demonstrates that (MHO+) is associated with a higher prevalence of MASLD. In the (MHO+) cohort, there was an association of MASLD with sex, high-income quartile, no prior bariatric surgery, non-tobacco use, and non-hypothyroidism. Further prospective multicenter studies are needed to evaluate the association of MASLD in (MHO+) patients with comorbid conditions.

Indexed as

Asian AmericanMASLDMHONISYoung adults

Identifiers

PMID40104006
PMCPMC11919439

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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.