Browsing by Author "Brewer, LaPrincess C."

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    Relation of household income to access and adherence to combination sacubitril/valsartan in heart failure: a retrospective analysis of commercially insured patients
    (American Heart Association, 2022) Johnson, Amber E.; Swabe, Gretchen M.; Addison, Daniel; Essien, Utibe R.; Breathett, Khadijah; Brewer, LaPrincess C.; Mazimba, Sula; Mohammed, Selma F.; Magnani, Jared W.; Medicine, School of Medicine
    Background: Outcomes in heart failure with reduced ejection fraction (HFrEF) are influenced by access and adherence to guideline-directed medical therapy. Our objective was to study the association between annual household income and: (1) the odds of having a claim for sacubitril/valsartan among insured patients with HFrEF and (2) medication adherence (measured as the proportion of days covered). We hypothesized that lower annual household income is associated with decreased odds of having a claim for and adhering to sacubitril/valsartan. Methods: Using the Optum de-identified Clinformatics Data Mart, patients with HFrEF and ≥6 months of enrollment for follow-up (2016-2020) were included. Covariates included age, sex, race, ethnicity, educational attainment, US region, number of prescribed medications, and Elixhauser Comorbidity Index. Prescription for sacubitril/valsartan was defined by the presence of a claim within 6 months of HFrEF diagnosis. Adherence was defined as proportion of days covered ≥80%. We fit multivariable-adjusted logistic regression models and hierarchical logistic regression accounting for covariates. Results: Among 322 007 individuals with incident HFrEF, 135 282 had complete data for analysis. Of the patients eligible for sacubitril/valsartan, 4.7% (6372) had a claim within 6 months of HFrEF diagnosis. Following multivariable adjustment, individuals in the lowest annual income category (<$40 000) were significantly less likely (odds ratio, 0.83 [95% CI, 0.76-0.90]) to have a sacubitril/valsartan claim within 6 months of HFrEF diagnosis than those in the highest annual income category (≥$100 000). Annual income <$40 000 was associated with lower odds of proportion of days covered ≥80% compared with income ≥$100 000 (odds ratio, 0.70 [95% CI, 0.59-0.83]). Conclusions: Lower household income is associated with decreased likelihood of a sacubitril/valsartan claim and medication adherence within 6 months of HFrEF diagnosis, even after adjusting for sociodemographic and clinical factors. Future analyses are needed to identify additional social factors associated with delays in sacubitril/valsartan initiation and long-term adherence.
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    Relationship Between Race, Predelivery Cardiology Care, and Cardiovascular Outcomes in Preeclampsia/Eclampsia Among a Commercially Insured Population
    (Wolters Kluwer, 2025) Bolakale-Rufai, Ikeoluwapo Kendra; Knapp, Shannon M.; Tucker Edmonds, Brownsyne; Khan, Sadiya; Brewer, LaPrincess C.; Mohammed, Selma; Johnson, Amber; Mazimba, Sula; Addison, Daniel; Breathett, Khadijah; Medicine, School of Medicine
    Background: It is unknown whether predelivery cardiology care is associated with future risk of major adverse cardiovascular events (MACE) in preeclampsia/eclampsia (PrE/E). We sought to determine the cumulative incidence of MACE by race and whether predelivery cardiology care was associated with the hazard of MACE up to 1 year post-delivery for Black and White patients with PrE/E. Methods: Using Optum's de-identified Clinformatics Data Mart Database, we identified Black and White patients with PrE/E who had a delivery between 2008 and 2019. MACE was defined as the composite of heart failure, acute myocardial infarction, stroke, and death. Cumulative incidence functions were used to compare the incidence of MACE by race. Regression models were used to assess the hazard of MACE by cardiology care for each race. Separate hazards were calculated for the first 14 days and the remainder of the year. Results: Among 29 336 patients (83.4% White patients, 16.6% Black patients, 99.5% commercially insured, mean age: 30.9 years) with PrE/E, 11.2% received cardiology care (10.9% White patients, 13.0% Black patients). Black patients had higher incidence of MACE than White patients at 1 year post-delivery (2.7% versus 1.4%) with the majority within 14 days of delivery (Black patients: 58.7%; White patients: 67.8%). After adjusting for age and comorbidities, receipt of cardiology care was associated with a lower hazard of MACE for White patients within 14 days after delivery (hazard ratio, 0.31 [95% CI, 0.21-0.46]; P<0.001) but not Black patients (hazard ratio, 1.00 [95% CI, 0.60-1.67]; P=0.999). The effect of the interaction between race and cardiology care was significant in the first 14 days (P<0.001) but not the remainder of the year (P=0.56). Conclusions: Among a well-insured population of patients with PrE/E, Black patients had a higher cumulative incidence of MACE up to a year post-delivery. Cardiology care was associated with a lower hazard of MACE only for White patients during the first 14 days after delivery.
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    Utilizing Artificial Intelligence to Enhance Health Equity Among Patients with Heart Failure
    (Elsevier, 2022) Johnson, Amber E.; Brewer, LaPrincess C.; Echols, Melvin R.; Mazimba, Sula; Shah, Rashmee U.; Breathett, Khadijah; Medicine, School of Medicine
    Patients with heart failure (HF) are heterogeneous with various intrapersonal and interpersonal characteristics contributing to clinical outcomes. Bias, structural racism, and social determinants of health have been implicated in unequal treatment of patients with HF. Through several methodologies, artificial intelligence (AI) can provide models in HF prediction, prognostication, and provision of care, which may help prevent unequal outcomes. This review highlights AI as a strategy to address racial inequalities in HF; discusses key AI definitions within a health equity context; describes the current uses of AI in HF, strengths and harms in using AI; and offers recommendations for future directions.