Sociodemographic predictors of hypertensive crisis in the hospitalized population in the United States.
Autor: | Evbayekha E; Department of Internal Medicine, St. Luke's Hospital, St. Louis, MO, USA. Electronic address: endurance.evbayekha@stlukes-stl.com., Okorare O; Vassar Brothers Medical Center, Nuvance Health, NY, USA., Ishola Y; Oba Okunade Sijuade College of Health Sciences Igbinedion University Okada, Nigeria., Eugene O; University of Benin, Edo State, Nigeria. Electronic address: omoikeeugene47@gmail.com., Chike A; MedStar Health UMH/ Luminis Health DCMC, Bowie, MD, USA., Abraham S; Clinical Research Site NY Health, Massapequa, NY, USA., Aneke AV; Enugu State University of Science and Technology College of Medicine, Enugu State, Nigeria., Green JT; Sibley Memorial Hospital, Gainesville, USA., Grace AE; V.N Karazin Kharkov National University, Kharkov, Ukraine., Ibeson CE; Department of Cardiology, HonorHealth Medical Group, Scottdale, USA., Ohikhuai E; Department of Pharmacy, University of Health Science and Pharmacy, St. Louis, MO, USA., Okobi OE; Larkin Community Hospital, Palms Spring Campus, Miami, FL., Akande PO; Quantum Leap Health Collaborative, San Francisco, USA., Nwafor P; Ross University School of Medicine., Bob-Manuel T; The University of Tennessee Health Science Center, Memphis, Tennessee, USA. |
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Jazyk: | angličtina |
Zdroj: | Current problems in cardiology [Curr Probl Cardiol] 2024 Jul; Vol. 49 (7), pp. 102610. Date of Electronic Publication: 2024 May 03. |
DOI: | 10.1016/j.cpcardiol.2024.102610 |
Abstrakt: | Introduction: Hypertensive crisis (HC) encompasses hypertensive emergencies (HE) and urgencies (HU). Methods: A retrospective analysis of the 2016-2020 National Inpatient Sample was conducted, and all hospitalizations for HC were identified with their ICD-10 codes. A probability estimation of outcomes was calculated by performing multivariable logistic regression analysis, which took confounders into account. Our primary outcomes were SDs of HC. Secondary outcomes were myocardial infarction (MI), stroke, acute kidney injury (AKI), and transient ischemic attack (TIA). Results: The minority populations were more likely than the Whites to be diagnosed with HCs: Black 2.7 (2.6-2.9), Hispanic 1.2 (1.2-1.3), and Asian population 1.4 (1.3-1.5), (p < 0.0001, all). Furthermore, being male 1.1 (1.09-1.2, p < 0.0001), those with 'self-pay' insurance 1.02 (1.01-1.03, p < 0.0001), and those in the <25th percentile of median household income 1.3 (1.2-1.3, p < 0.0001), were more likely to be diagnosed with HCs. The Black population had the highest likelihood of end-organ damage: MI 2.7 (2.6-2.9), Stroke 3.2 (3.1-3.4), AKI 2.4 (2.2-2.5), and TIA 2.8 (2.7-3.0), (p < 0.0001, all), compared to their Caucasian counterpart. Conclusions: Being of a minority population, male sex, low-income status, and uninsured were associated with a higher likelihood of hypertensive crisis. The black population was the youngest and had the highest risk of hypertensive emergencies. Targeted interventions and healthcare policies should be implemented to address these disparities and enhance patient outcomes. Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. (Copyright © 2024 Elsevier Inc. All rights reserved.) |
Databáze: | MEDLINE |
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