Background: Risk factors for increased anaphylaxis severity are poorly understood. Angiotensin-converting enzyme (ACE) inhibitors have been associated with severe anaphylactic reactions in patients with hymenoptera venom allergy. Studies evaluating the association between beta-blockers and severe anaphylaxis have been conflicting.
Objective: To evaluate the association between antihypertensive medication use and increased anaphylaxis severity.
Methods: We included emergency department anaphylaxis patients aged 18 years and older. Markers of severe anaphylaxis were defined as (1) syncope, hypotension, or hypoxia; (2) signs and symptoms involving 3 or more organ systems; and (3) hospitalization. Antihypertensive medications evaluated included beta-blockers, ACE inhibitors, calcium channel blockers, angiotensin receptor blockers, and diuretics. Simple and multiple logistic regression analyses were conducted to estimate the association between antihypertensive medication use and markers of increased anaphylaxis severity.
Results: Among 302 patients with anaphylaxis, 55 (18%) had syncope, hypoxia, or hypotension, 57 (19%) required hospitalization, and 139 (46%) had 3 or more organ system involvement. After adjusting for age, gender, suspected trigger, and preexisting lung disease, beta-blocker, ACE-inhibitor, diuretic, or antihypertensive medication use in aggregate remained associated with both 3 or more organ system involvement and need for hospital admission. The adjusted associations between antihypertensive medication use in aggregate and 3 or more organ system involvement yielded an odds ratio of 2.8 (95% CI, 1.5-5.2; P=.0008) and with hospitalization an odds ratio of 4.0 (95% CI, 1.9-8.4; P=.0001).
Conclusions: In emergency department anaphylaxis patients, antihypertensive medication use is associated with increased organ system involvement and increased odds of hospital admission, independent of age, gender, suspected trigger, or preexisting lung disease.
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http://dx.doi.org/10.1016/j.jaci.2013.01.011 | DOI Listing |
J Am Geriatr Soc
January 2025
Department of Epidemiology and Population Health, Stanford University, Stanford, California, USA.
Background: Deprescribing antihypertensives is of growing interest in geriatric medicine, yet the impact on functional status is unknown. We emulated a target trial of deprescribing antihypertensive medications compared with continued use on functional status measured by activities of daily living (ADL) in a long-term care population.
Methods: We included 12,238 Veteran Affairs long-term care residents age 65+ who had a stay ≥ 12 weeks between 2006 and 2019.
Cureus
December 2024
Medical Strategic Affairs, Torrent Pharmaceuticals Ltd., Ahmedabad, IND.
Introduction: Elevated central aortic pressure, cardiac output and peripheral vascular resistance contribute to high morbidity in relation to end organ dysfunction in obstructive and non-obstructive coronary artery disease (NOCAD) cases despite revascularization. Bisoprolol preempts further progression of left ventricular dysfunction in such cases due to anti-ischemic and anti-hypertensive effects, further extending its evaluation in local Indian settings.
Methods: Post-hoc analyses of NOCAD patients with epicardial stenosis (N=378, 30 to 70% stenosis) from cross-sectional analyses conducted across eighty centers in India.
Sci Rep
January 2025
Department of Plastic Surgery, Jiangxi Provincial Children's Hospital, 1666 Diezihu Avenue, Nanchang, China.
The objective of this study was to evaluate the efficacy and safety of propranolol hydrochloride tablets and oral solution in neonates with severe IHs. A retrospective cohort study included 184 consecutive neonates diagnosed with severe IHs and treated with propranolol from January 2016 to June 2023. Of these, 126 patients received propranolol tablets, and 58 received propranolol oral solution.
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January 2025
School of Pharmacy, Guilin Medical University, Guilin, 541199, China.
The hypotensive side effects caused by drugs during their use have been a vexing issue. Recent studies have found that deep learning can effectively predict the biological activity of compounds by mining patterns and rules in the data, providing a potential solution for identifying drug side effects. In this study, we established a deep learning-based predictive model, utilizing a data set comprised of compounds known to either elevate or lower blood pressure.
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January 2025
Anatomy Department, College of Basic Medical Science, Xiamen Medical College, Xiamen, Fujian, China.
Hypertension is one of the most serious chronic diseases. This study will focus on the systemic antihypertensive mechanisms of 5,7-dihydroxyflavone from in silico simulations to in vivo validations. In-silico studies were applied by network pharmacology, molecular docking, and molecular dynamic simulation.
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