Article, 2024

Influence of socioeconomic status on rates of advanced heart failure therapies

The Journal of Heart and Lung Transplantation, ISSN 1053-2498, 1557-3117, Volume 43, 6, Pages 920-930, 10.1016/j.healun.2024.02.1452

Contributors

Larsson, Johan Erik 0000-0001-8250-2685 (Corresponding author) [1] Kristensen, Søren Lund 0000-0002-9759-7397 [1] Deis, Tania 0000-0002-1837-6538 [1] Warming, Peder Emil 0000-0003-0508-2503 [1] Graversen, Peter Laursen 0000-0003-1231-6283 [1] Schou, M S Morten [2] Køber, Lars Valeur 0000-0002-6635-1466 [1] Rossing, Kasper [1] Gustafsson, Finn 0000-0003-2144-341X [1]

Affiliations

  1. [1] Rigshospitalet
  2. [NORA names: Capital Region of Denmark; Hospital; Denmark; Europe, EU; Nordic; OECD];
  3. [2] Copenhagen University Hospital
  4. [NORA names: Capital Region of Denmark; Hospital; Denmark; Europe, EU; Nordic; OECD]

Abstract

BACKGROUND: Socioeconomic deprivation is associated with a lower likelihood of referral for advanced heart failure (HF) evaluation, but it is not known whether it influences rates of advanced HF therapies independently of key hemodynamic measures and comorbidity following advanced HF evaluation in a universal healthcare system. METHODS: We linked data from a single-center Danish clinical registry of consecutive patients evaluated for advanced HF with patient-level information on socioeconomic status. Patients were divided into groups based on the level of education (low, medium, and high), combined degree of socioeconomic deprivation (low, medium, and high), and household income quartiles. Rates of the combined outcome of left ventricular assist device implantation or heart transplantation (advanced HF therapy) with death as a competing risk were estimated with cumulative incidence functions, and Cox proportional hazards models adjusted for age, sex, central venous pressure, cardiac index, and comorbidities. RESULTS: We included 629 patients, median age 53 years, of whom 77% were men. During a median follow-up of 5 years, 179 (28%) underwent advanced HF therapy. The highest level of education was associated with higher rates (high vs low, adjusted HR 1.81 95% CI 1.14-2.89, p = 0.01), whereas household income quartile groups (Q4 vs Q1, adjusted HR 1.37 95% CI 0.76-2.47, p = 0.30) or groups of combined socioeconomic deprivation (high vs low degree of deprivation, adjusted HR 0.86 95% CI 0.50-1.46, p = 0.56) were not significantly associated with rates of advanced HF therapy. CONCLUSIONS: Patients with a lower level of education might be disfavored for advanced HF therapies and could require specific attention in the advanced HF care center.

Keywords

Cox, Cox proportional hazards models, HF evaluation, HF therapy, advanced HF, advanced HF therapies, advanced heart failure, advanced heart failure therapies, age, assist device implantation, associated with higher rates, associated with rates, attention, cardiac index, care center, center, central venous pressure, comorbidities, comorbidity, consecutive patients, cumulative incidence function, data, death, degree, degree of socioeconomic deprivation, deprivation, device implantation, education, evaluation, failure, failure therapy, follow-up, function, group, hazards model, healthcare system, heart, heart failure, heart failure therapy, heart transplantation, hemodynamic measurements, higher level of education, higher levels, higher rates, household income quartile, households, implantation, incidence function, income quartile, index, influence, influence of socioeconomic status, influence rates, information, left ventricular assist device implantation, level of education, levels, likelihood, likelihood of referral, measurements, median age, median follow-up, men, model, outcomes, patient-level information, patients, pressure, proportional hazards model, quartile, quartile group, rate, referral, registry of consecutive patients, risk, sex, socioeconomic deprivation, socioeconomic status, status, system, therapy, transplantation, universal healthcare system, venous pressure, ventricular assist device implantation, years

Funders

  • Novo Nordisk Foundation

Data Provider: Digital Science