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Record W4416823895 · doi:10.47144/phj.v58i3.3339

Rethinking Obesity Metrics in STE-ACS: Beyond BMI to Central Adiposity

2025· article· W4416823895 on OpenAlexaboutno aff
Muhammad Abdur Rauf

Bibliographic record

VenuePakistan Heart Journal · 2025
Typearticle
Language
FieldMedicine
TopicCardiovascular Function and Risk Factors
Canadian institutionsnot available
Fundersnot available
KeywordsObesityWaistObesity paradoxHeart failureBody mass indexAnthropometryIncidence (geometry)

Abstract

fetched live from OpenAlex

The relationship between obesity and cardiovascular outcomes has long intrigued clinicians and researchers. The study by Kumar et al. [1], “Impact of General and Central Obesity on In-Hospital Outcomes in STE-ACS Patients Undergoing Primary PCI,” provides timely insights into this complex association by evaluating both general obesity, measured by BMI, and central obesity, assessed via waist circumference, in a substantial cohort of 1,099 patients. Traditionally, BMI has been the dominant metric for assessing obesity in cardiovascular risk stratification. While BMI offers a quick anthropometric index, it fails to capture the nuances of fat distribution, particularly the detrimental metabolic and vascular effects of visceral adiposity. Kumar et al. categorized patients into four phenotypes—neither obese nor centrally obese, obese only, centrally obese only, and both obese and centrally obese. This approach allowed a more granular understanding of how fat location influences acute coronary outcomes. A counterintuitive finding emerged: patients without either obesity or central obesity (G1) exhibited the highest incidence of in-hospital heart failure (10.8%), whereas those with central obesity—with or without general obesity—had markedly lower rates (~4.4–4.5%). Mortality differences were not statistically significant, though the highest mortality rate (3.5%) occurred in patients with both general and central obesity. These results resonate with the well-debated “obesity paradox” in acute coronary syndromes (ACS), where excess body mass, despite long-term risks, may confer short-term survival benefits. The “obesity paradox” has been reported across registries and meta-analyses in ACS and heart failure populations, where higher BMI correlates with reduced short-term mortality and complications post-PCI [2–4]. Possible mechanisms include greater metabolic reserve, attenuated catabolic stress, and higher circulating levels of protective adipokines. By contrast, central obesity is strongly associated with insulin resistance, dyslipidemia, and inflammation, and has been linked to adverse long-term outcomes [5,6]. The observation that central obesity did not worsen in-hospital outcomes, but was instead associated with fewer cases of heart failure, raises important questions. Could acute-phase metabolic and hemodynamic reserves overshadow the chronic harmful effects of visceral fat? Or might these findings reflect unmeasured confounders, such as myocardial preconditioning, procedural differences, or medication adherence? The marked sex disparity is noteworthy—central obesity was more prevalent among women, while men predominated in the non-obese groups. This aligns with known postmenopausal hormonal shifts that promote visceral fat accumulation in women [7]. Given growing evidence that women with central obesity exhibit distinct metabolic and vascular responses, the intersection of sex and fat distribution warrants further targeted research. Several practice-relevant messages arise as: Waist circumference should complement BMI in ACS risk assessment, as BMI alone may underestimate risk in individuals with “normal-weight obesity.” Clinicians must distinguish between acute and chronic risks. While obesity may attenuate certain in-hospital complications, its long-term cardiovascular burden remains substantial. Incorporating sex-specific risk stratification could refine prognostic accuracy and personalize post-PCI prevention strategies. This study is limited by its single-center design, short-term focus, and exclusion of patients with chronic kidney disease. Additionally, inflammatory biomarkers, body composition imaging, and cardiorespiratory fitness were not assessed—factors that may mediate the observed associations. Future multicenter, prospective studies incorporating BMI, waist circumference, waist-to-height ratio, and advanced imaging (e.g., CT-based visceral fat quantification) are needed to clarify the acute versus chronic prognostic roles of adiposity phenotypes in STE-ACS. Mechanistic research exploring adipokines, inflammation, and endothelial function could further unravel the paradox. Kumar et al.’s study underlines that in cardiovascular medicine, “where” fat is stored matters as much as “how much” fat is present. Their findings challenge the reliance on BMI alone, highlight central obesity’s nuanced role in acute ACS outcomes, and emphasize sex-specific differences that could inform individualized care. In the era of precision cardiology, such refined risk stratification holds promise for improving both short- and long-term outcomes in ACS patients. References Kumar R, Farooq F, Sohail H, Matani K, Bhagia K, Rahman JU, et al. Impact of General and Central Obesity on In-Hospital Outcomes in STE-ACS Patients Undergoing Primary PCI. Pak Heart J. 2025;58(03):386-93. DOI: 10.47144/phj.v58i3.2894 Carbone S, Canada JM, Billingsley HE, Siddiqui MS, Elagizi A, Lavie CJ. Obesity paradox in cardiovascular disease: where do we stand? Vasc Health Risk Manag. 2019;15:89-100. DOI: 10.2147/VHRM.S168946 Kanic V, Vollrath M, Frank B, Kanic Z. An obesity paradox in patients with myocardial infarction undergoing percutaneous intervention. Nutr Metab Cardiovasc Dis. 2021;31(1):127-36. DOI: 10.1016/j.numecd.2020.08.024 Lavie CJ, De Schutter A, Patel D, Artham SM, Milani RV. Body composition and coronary heart disease mortality--an obesity or a lean paradox? Mayo Clin Proc. 2011 Sep;86(9):857-64. DOI: 10.4065/mcp.2011.0092 Coutinho T, Goel K, Corrêa de Sá D, Carter RE, Hodge DO, Kragelund C, Kanaya AM, Zeller M, Park JS, Kober L, Torp-Pedersen C. Combining body mass index with measures of central obesity in the assessment of mortality in subjects with coronary disease: role of “normal weight central obesity”. J Am Coll Cardiol. 2013;61(5):553-60. https://www.jacc.org/doi/abs/10.1016/j.jacc.2012.10.035 Powell-Wiley TM, Poirier P, Burke LE, Després JP, Gordon-Larsen P, Lavie CJ, et al. Obesity and Cardiovascular Disease: A Scientific Statement From the American Heart Association. Circulation. 2021;143(21):e984-e1010. DOI: 10.1161/CIR.0000000000000973 Muscogiuri G, Verde L, Vetrani C, Barrea L, Savastano S, Colao A. Obesity: a gender-view. J Endocrinol Invest. 2024;47(2):299-306. DOI: 10.1007/s40618-023-02196-z

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.146
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.023
GPT teacher head0.314
Teacher spread0.291 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2025
Admission routes1
Has abstractyes

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