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Characteristics and Predictors of Apparent Treatment-Resistant Hypertension in Real-World Populations Using Electronic Health Record-Based Data.
Jafari, Eissa; Cooper-DeHoff, Rhonda M; Effron, Mark B; Hogan, William R; McDonough, Caitrin W.
Afiliação
  • Jafari E; Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics and Precision Medicine, College of Pharmacy, University of Florida, Gainesville, Florida, USA.
  • Cooper-DeHoff RM; Department of Pharmacy Practice, College of Pharmacy, Jazan University, Jazan, Saudi Arabia.
  • Effron MB; Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics and Precision Medicine, College of Pharmacy, University of Florida, Gainesville, Florida, USA.
  • Hogan WR; Division of Cardiovascular Medicine, Department of Medicine, College of Medicine, University of Florida, Gainesville, Florida, USA.
  • McDonough CW; John Ochsner Heart and Vascular Institute, The University of Queensland Ochsner Clinical School, New Orleans, Louisiana, USA.
Am J Hypertens ; 37(1): 60-68, 2024 Jan 01.
Article em En | MEDLINE | ID: mdl-37712350
ABSTRACT

BACKGROUND:

Apparent treatment-resistant hypertension (aTRH) is defined as uncontrolled blood pressure (BP) despite using ≥3 antihypertensive classes or controlled BP while using ≥4 antihypertensive classes. Patients with aTRH have a higher risk for adverse cardiovascular outcomes compared with patients with controlled hypertension (HTN). Although there have been prior reports on the prevalence, characteristics, and predictors of aTRH, these have been broadly derived from smaller datasets, randomized controlled trials, or closed healthcare systems.

METHODS:

We extracted patients with HTN defined by ICD-9 and ICD-10 codes during 1/1/2015-12/31/2018, from 2 large electronic health record databases the OneFlorida Data Trust (n = 223,384) and Research Action for Health Network (REACHnet) (n = 175,229). We applied our previously validated aTRH and stable controlled HTN computable phenotype algorithms and performed univariate and multivariate analyses to identify the prevalence, characteristics, and predictors of aTRH in these populations.

RESULTS:

The prevalence of aTRH among patients with HTN in OneFlorida (16.7%) and REACHnet (11.3%) was similar to prior reports. Both populations had a significantly higher proportion of Black patients with aTRH compared with those with stable controlled HTN. aTRH in both populations shared similar significant predictors, including Black race, diabetes, heart failure, chronic kidney disease, cardiomegaly, and higher body mass index. In both populations, aTRH was significantly associated with similar comorbidities, when compared with stable controlled HTN.

CONCLUSIONS:

In 2 large, diverse real-world populations, we observed similar comorbidities and predictors of aTRH as prior studies. In the future, these results may be used to improve healthcare professionals' understanding of aTRH predictors and associated comorbidities.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Hipertensão / Anti-Hipertensivos Tipo de estudo: Clinical_trials / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Am J Hypertens Assunto da revista: ANGIOLOGIA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Hipertensão / Anti-Hipertensivos Tipo de estudo: Clinical_trials / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Am J Hypertens Assunto da revista: ANGIOLOGIA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos