Other Titles
Rapid Presentation Round
Abstract
Background: Metabolic syndrome (MetS) appears to play a pivotal role in the development of heart failure with preserved ejection fraction (HFpEF), one of two phenotypes of heart failure (HF). HFpEF has emerged as the more dominant cardiometabolic phenotype in older women worldwide, estimated to be present in 20-25% of older African American (AA) women. Recognizing MetS in older AA women would prompt the use of recently identified highly effective medications and lifestyle-based treatments that would impact patients with HFpEF.
Purpose: To determine whether the triglyceride-glucose (TyG) index, a product of triglyceride and fasting plasma glucose, alone or combined with waist circumference can detect MetS in older AA women.
Method: The study plans to utilize an observational, quantitative study design that incorporates a prospective evaluation of older AA women who are established patients in two hospital systems to determine the likelihood of MetS. The sample size will range between 50 to 75 participants. We will identify those who meet the MetS criteria as well as an equal number of controls. We based this estimate on previous NHANES data showing MetS prevalence of 36 to 40. Fasting triglyceride (TG) levels will be determined by enzymatic method. Plasma glucose will be obtained by glucose oxidase method. The TyG index will be calculated according to the formula: Ln [fasting triglycerides (mg/dL) x fasting plasma glucose (mg/dL)/2].
Results: The study will utilize descriptive statistics to compute the variables. Correlation Pearson and Spearman will be used to examine the relationship between continuous or ordinal variables. Descriptive statistics will analyze selected variables. Our outcome for this study is MetS (categorical variable). Chi-square and Fisher exact test will examine bivariate relationship between outcome and categorical demographic variables. T-test and Wilcoxon test will be used to examine bivariate tests of continuous or ordinal variables by MetS. Logistic regression will be used to examine the relationships between a set of the independent variables (biomarkers, anthropometric measurements, and MetS criteria variables as predictors) on MetS.
Conclusion: The expected outcome of this study will determine the likelihood of MetS in older AA women and the impact of TyG index in detecting MetS in this subpopulation. Future studies should identify women who may be at a higher risk for HFpEF based on their age and phenotype of HF.
Notes
Reference list included in attached slide deck.
Sigma Membership
Alpha Xi
Type
Presentation
Format Type
Text-based Document
Study Design/Type
Observational
Research Approach
Quantitative Research
Keywords:
Health Equity, Social Determinants of Health, Public and Community Health, Primary Care, Promoting Clinical Outcomes, Metabolic Syndrome, Heart Failure, African American Women
Recommended Citation
Sue-Ling, Carolyn B., "Detecting Metabolic Syndrome Among Older African American Women with a Phenotype of Heart Failure" (2025). Biennial Convention (CONV). 45.
https://www.sigmarepository.org/convention/2025/presentations_2025/45
Conference Name
48th Biennial Convention
Conference Host
Sigma Theta Tau International
Conference Location
Indianapolis, Indiana, USA
Conference Year
2025
Rights Holder
All rights reserved by the author(s) and/or publisher(s) listed in this item record unless relinquished in whole or part by a rights notation or a Creative Commons License present in this item record. All permission requests should be directed accordingly and not to the Sigma Repository. All submitting authors or publishers have affirmed that when using material in their work where they do not own copyright, they have obtained permission of the copyright holder prior to submission and the rights holder has been acknowledged as necessary.
Review Type
Abstract Review Only: Reviewed by Event Host
Acquisition
Proxy-submission
Date of Issue
2025-11-19
Detecting Metabolic Syndrome Among Older African American Women with a Phenotype of Heart Failure
Indianapolis, Indiana, USA
Background: Metabolic syndrome (MetS) appears to play a pivotal role in the development of heart failure with preserved ejection fraction (HFpEF), one of two phenotypes of heart failure (HF). HFpEF has emerged as the more dominant cardiometabolic phenotype in older women worldwide, estimated to be present in 20-25% of older African American (AA) women. Recognizing MetS in older AA women would prompt the use of recently identified highly effective medications and lifestyle-based treatments that would impact patients with HFpEF.
Purpose: To determine whether the triglyceride-glucose (TyG) index, a product of triglyceride and fasting plasma glucose, alone or combined with waist circumference can detect MetS in older AA women.
Method: The study plans to utilize an observational, quantitative study design that incorporates a prospective evaluation of older AA women who are established patients in two hospital systems to determine the likelihood of MetS. The sample size will range between 50 to 75 participants. We will identify those who meet the MetS criteria as well as an equal number of controls. We based this estimate on previous NHANES data showing MetS prevalence of 36 to 40. Fasting triglyceride (TG) levels will be determined by enzymatic method. Plasma glucose will be obtained by glucose oxidase method. The TyG index will be calculated according to the formula: Ln [fasting triglycerides (mg/dL) x fasting plasma glucose (mg/dL)/2].
Results: The study will utilize descriptive statistics to compute the variables. Correlation Pearson and Spearman will be used to examine the relationship between continuous or ordinal variables. Descriptive statistics will analyze selected variables. Our outcome for this study is MetS (categorical variable). Chi-square and Fisher exact test will examine bivariate relationship between outcome and categorical demographic variables. T-test and Wilcoxon test will be used to examine bivariate tests of continuous or ordinal variables by MetS. Logistic regression will be used to examine the relationships between a set of the independent variables (biomarkers, anthropometric measurements, and MetS criteria variables as predictors) on MetS.
Conclusion: The expected outcome of this study will determine the likelihood of MetS in older AA women and the impact of TyG index in detecting MetS in this subpopulation. Future studies should identify women who may be at a higher risk for HFpEF based on their age and phenotype of HF.
Description
Metabolic syndrome and heart failure preserved ejection fraction are two medical conditions that may affect African American women, age 65 years or older. The syndrome is made up of interrelated comorbidities which contribute to heart failure. Detecting the likelihood of metabolic syndrome may lead to a reduction of the incidence of heart failure preserved ejection fraction and early heart failure hospitalization or rehospitalization.