ACR Meeting Abstracts

ACR Meeting Abstracts

Abstract Number: 0992

Visceral Adipose Tissue Measured by DXA Predicts Metabolic Syndrome in Low-Income Community-Dwelling Elderly: Insights from the São Paulo Ageing & Health (SPAH) Study

Gabriel Vansuita Valente1, Luana Machado1, Andre Franco2, Valeria Caparbo1, Liliam Takayama3, Alan Lins Fernandes1, Camille Figueiredo1, Rosa M R Pereira1 and Diogo Domiciano2, 1Division of Rheumatology, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, BR., São Paulo, SP, Brazil, 2Rheumatology Division, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, Brazil, São Paulo, SP, Brazil, 3Division of Rheumatology, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, São Paulo, SP, Brazil

Meeting: ACR Convergence 2024

Keywords: , , ,

Session Information

Date: Sunday, November 17, 2024

Title: Epidemiology & Public Health Poster II

Session Type: Poster Session B

Session Time: 10:30AM-12:30PM

Background/Purpose: To establish optimal cutoffs for visceral adipose tissue (VAT) to predict cardiometabolic risk in a low-income elderly Brazilian cohort, utilizing dual-energy X-ray absorptiometry (DXA) to estimate visceral fat.

Methods: A total of 449 women and 258 men (≥65 years) from the community were enrolled in this cross-sectional study. Participants underwent clinical and laboratory evaluations, along with body composition analysis using iDXA, GE-Lunar. VAT was measured in the android region of the DXA scan. Metabolic Syndrome (MetS) was diagnosed using NCEP-ATPIII criteria. Multivariate logistic regression analyzed the relationship between VAT and MetS. Receiver-operating characteristic (ROC) curve analysis evaluated VAT’s predictive accuracy for MetS, with optimal cutoffs determined by Youden’s test to balance sensitivity and specificity.

Results: After adjustments for potential confounders, multivariate analysis showed that VAT was independently associated with MetS in both women (OR 1.33, 95%CI 1.16-1.54, per each 100g increase) and men (OR 1.41, 95%CI 1.15-1.72). Optimal VAT cutoffs to predict MetS were 600.5g for women (AUC= 0.729) and 642.5g for men (AUC= 0.740). Subanalysis for non-overweight/non-obese individuals yielded lower VAT cutoffs.

Conclusion: Exceeding 600g of VAT was linked to increased MetS odds in community-dwelling older adults. With an AUC value surpassing 0.70, indicating strong discriminative ability, VAT measured by DXA holds promise for assessing cardiometabolic risk in the elderly. Further longitudinal studies are needed to investigate VAT’s impact on major cardiovascular event incidence in this demographic.

Supporting image 1

Pearson correlation between VAT and cardiometabolic risk factors.
MetS: Metabolic syndrome. BMI: body mass index. ACE: angiotensin-converting-enzyme. CCB: calcium channel blockers. VAT: visceral adipose tissue. eGFR: estimated glomerular filtration rate. LDL: low-density lipoprotein. HDL: high-density lipoprotein. CRP: C-reactive protein.
a. Cardiovascular events: myocardial infarction, unstable angina and stroke.

Supporting image 2

Anthropometric, laboratory and DXA-derived body composition measures by sex and MetS criteria.
MetS: Metabolic syndrome. BMI: body mass index. ACE: angiotensin-converting-enzyme. CCB: calcium channel blockers. VAT: visceral adipose tissue. eGFR: estimated glomerular filtration rate. LDL: low-density lipoprotein. HDL: high-density lipoprotein. CRP: C-reactive protein.
a. Cardiovascular events: myocardial infarction, unstable angina and stroke.

Supporting image 3

Receiver‐operating characteristic (ROC) curves for VAT for identifying subjects with MetS, discriminated by sex, all patients.
A: female. B: male. AUC: area under the curve. CI: confidence interval. VAT: visceral adipose tissue. SENS.: sensitivity. SPEC.: specificity.

Disclosures: G. Vansuita Valente: None; L. Machado: None; A. Franco: None; V. Caparbo: None; L. Takayama: None; A. Lins Fernandes: None; C. Figueiredo: None; R. Pereira: None; D. Domiciano: None.

To cite this abstract in AMA style:

Vansuita Valente G, Machado L, Franco A, Caparbo V, Takayama L, Lins Fernandes A, Figueiredo C, Pereira R, Domiciano D. Visceral Adipose Tissue Measured by DXA Predicts Metabolic Syndrome in Low-Income Community-Dwelling Elderly: Insights from the São Paulo Ageing & Health (SPAH) Study [abstract]. Arthritis Rheumatol. 2024; 76 (suppl 9). https://acrabstracts.org/abstract/visceral-adipose-tissue-measured-by-dxa-predicts-metabolic-syndrome-in-low-income-community-dwelling-elderly-insights-from-the-sao-paulo-ageing-health-spah-study/. Accessed .

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ACR Meeting Abstracts - https://acrabstracts.org/abstract/visceral-adipose-tissue-measured-by-dxa-predicts-metabolic-syndrome-in-low-income-community-dwelling-elderly-insights-from-the-sao-paulo-ageing-health-spah-study/