AI Article Synopsis

  • The study aimed to evaluate blood pressure control among elderly hypertensive patients in Spain, focusing on the factors linked to poor control and physician management.
  • Out of 923 patients aged 80 and older, only about one-third managed to reach their blood pressure goals, despite most being on combined therapy.
  • Key issues included a significant association between diabetes and uncontrolled blood pressure, along with physicians' incorrect perceptions of BP control leading to infrequent treatment modifications.

Article Abstract

This study sought to assess blood pressure (BP) control rates by determining the factors associated with poor BP control, therapeutic management and physicians' therapeutic behavior among elderly Spanish hypertensive patients in a primary care setting. This cross-sectional multicenter study included hypertensive patients at least 80 years of age in primary care settings throughout Spain who were on pharmacologic treatment. BP was considered well controlled at <140/90 mm Hg (<130/80 in patients with diabetes, chronic renal disease or cardiovascular disease). A total of 923 patients were included (83.3+/-3.5 years; 62.9% women). Almost two-thirds (64.0%) of the patients were taking a combined therapy (68.7%; 2 drugs) and approximately one-third (35.6%; 95% CI 32.6-38.7) of the patients attained BP goals. Physicians modified the antihypertensive treatment in 26.1% (95% CI 22.3-29.9) of patients with uncontrolled BP, which most frequently involved the addition of another drug (47.6%). Predictive factors for no BP control and no therapeutic modification in patients with uncontrolled BP included diabetes (OR 2.8 (95% CI 2.0-3.9); P<0.0001) and mistaken physician perceptions about BP control (OR 108.1 (95% CI 40.5-288.6); P<0.0001), respectively. Only three out of 10 hypertensive patients 80 years or older in Spain achieved the BP goals. Physicians only modified the treatment in one out of four patients with uncontrolled BP. Diabetes was associated with a threefold increase in the likelihood of uncontrolled BP, and the mistaken physician perceptions about BP control were associated with a 100-fold rise in the probability of not modifying antihypertensive therapy.

Download full-text PDF

Source
http://dx.doi.org/10.1038/hr.2009.102DOI Listing

Publication Analysis

Top Keywords

blood pressure
8
pressure control
8
physicians' therapeutic
8
therapeutic behavior
8
behavior elderly
8
elderly spanish
8
spanish hypertensive
8
hypertensive patients
8
primary care
8
control physicians'
4

Similar Publications

Preeclampsia and eclampsia: Enhanced detection and treatment for morbidity reduction.

Best Pract Res Clin Anaesthesiol

September 2024

Division of Maternal-Fetal Medicine, Brigham and Women's Hospital, Harvard Medical School, 75 Francis St, L1, Boston, MA, 02115, USA. Electronic address:

Preeclampsia is a life-threatening complication that develops in 2-8% of pregnancies. It is characterized by elevated blood pressure after 20 weeks of gestation and may progress to multiorgan dysfunction, leading to severe maternal and fetal morbidity and mortality. The only definitive treatment is delivery, and efforts are focused on early risk prediction, surveillance, and severity mitigation.

View Article and Find Full Text PDF

The accurate non-invasive detection and estimation of central aortic pressure waveforms (CAPW) are crucial for reliable treatments of cardiovascular system diseases. But the accuracy and practicality of current estimation methods need to be improved. Our study combines a meta-learning neural network and a physics-driven method to accurately estimate CAPW based on personalized physiological indicators.

View Article and Find Full Text PDF

Background: Use of health applications (apps) to support healthy lifestyles has intensified. Different app features may support effectiveness, including gamification defined as the use of game elements in a non-game situation. Whether health apps with gamification can impact behaviour change and cardiometabolic risk factors remains unknown.

View Article and Find Full Text PDF

Machine learning applications in healthcare clinical practice and research.

World J Clin Cases

January 2025

Department of Gastroenterology, Laiko General Hospital, National and Kapodistrian University of Athens, Athens 11527, Greece.

Machine learning (ML) is a type of artificial intelligence that assists computers in the acquisition of knowledge through data analysis, thus creating machines that can complete tasks otherwise requiring human intelligence. Among its various applications, it has proven groundbreaking in healthcare as well, both in clinical practice and research. In this editorial, we succinctly introduce ML applications and present a study, featured in the latest issue of the .

View Article and Find Full Text PDF

Introduction: Self-care practices are crucial for optimizing blood pressure control and are influenced by multilevel factors.

Objective: To examine the influences of multilevel factors on hypertension self-care practices among individuals with uncontrolled hypertension and to determine the relationship between hypertension self-care practices and blood pressure.

Methods: The study was conducted in primary, secondary, and tertiary care settings in Bangkok, selected for convenience, where individuals with uncontrolled hypertension were recruited using a convenience sampling method based on specific inclusion criteria.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!