Objectives: The aim of this study was to compare the usefulness and credibility of ambulatory self-measurement of blood pressure (SMBP) by hypertensive patients to automatic ambulatory blood pressure monitoring (ABPM).
Methods: The study was performed in 51 patients with primary hypertension (19 F, 32 M), aged 25-67 y divided into 3 groups: I-without treatment (n = 13), II-receiving monotherapy (n = 17) and III-treated at least with 2 hypotensive drugs (n = 21). For three consecutive days, patients measured their systolic blood pressure (SBP), diastolic blood pressure (DBP) and heart rate (HR) three times a day at 2 minute intervals during the following periods 06:00-08:00, 15:00-17:00 and 20:00-22:00. Afterwards, the process was repeated for three days using the automatic OMRON HEM-705C device. Results obtained on the second and third days were included in the calculation of SBP, DBP and HR mean values for the period 06:00-22:00. On the fourth day of the study, ABPM was performed with a Tycos Quiet Trak recorder. The parameters were measured every 20 minutes between 06:00 and 22:00. The average values for SBP, DBP and HR that were obtained with these two methods of blood pressure monitoring using the time period 06:00-22:00, were then compared.
Results: There was a significant correlation between SMBP and ABPM for SBP, DBP and HR in groups I, II and III (for SBP r = 0.81; 0.80; 0.82; for DBP r = 0.61; 0.62; 0.83; for HR r = 0.53; 0.69; 00.81). According to statistical tests, significant differences in the mean values of SBP, DBP and HR were found in the first (3.9 mmHg, 5.7 mmHg and 8 min-1 and second (4.9 mmHg, 6.2 mmHg and 6.2 min-1) groups. Only the HR (7.7 min-1) was statistically significant in the third group.
Conclusions: Self-measurement of BP with automatic device is comparable to ABPM method of blood pressure monitoring, especially if multi-drug therapy is used for sustained hypertension. However, SMBP is not a completely alternative method for ABPM.
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Circ Genom Precis Med
January 2025
Mary and Steve Wen Cardiovascular Division, Department of Medicine, University of California, Los Angeles. (W.F., N.D.W.).
Background: Lp(a; Lipoprotein[a]) is a predictor of atherosclerotic cardiovascular disease (ASCVD); however, there are few algorithms incorporating Lp(a), especially from real-world settings. We developed an electronic health record (EHR)-based risk prediction algorithm including Lp(a).
Methods: Utilizing a large EHR database, we categorized Lp(a) cut points at 25, 50, and 75 mg/dL and constructed 10-year ASCVD risk prediction models incorporating Lp(a), with external validation in a pooled cohort of 4 US prospective studies.
Hypertension
January 2025
Department of Nephrology, Medical Faculty, University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Germany (S.A.P., I.Q., D. Arifaj, M.K., D. Argov, L.C.R., J.S.).
Background: Ciliary neurotrophic factor (CNTF), mainly known for its neuroprotective properties, belongs to the IL-6 (interleukin-6) cytokine family. In contrast to IL-6, the effects of CNTF on the vasculature have not been explored. Here, we examined the role of CNTF in AngII (angiotensin II)-induced hypertension.
View Article and Find Full Text PDFWounds from gunshots and other explosive devices are a source of loss of substances directly or secondary to a well- conducted debridement. In addition, these types of wounds are by definition contaminated. The major challenge in this context for any surgeon remains coverage.
View Article and Find Full Text PDFJHEP Rep
February 2025
Department of Gastroenterology and Hepatology, Hospital Universitario Ramón y Cajal, Instituto Ramon y Cajal de Investigación Sanitaria (IRYCIS), Universidad de Alcalá, Madrid, Spain.
Background & Aims: Systemic inflammation is a driver of decompensation in cirrhosis with unclear relevance in the compensated stage. We evaluated inflammation and bacterial translocation markers in compensated cirrhosis and their dynamics in relation to the first decompensation.
Methods: This study is nested within the PREDESCI trial, which investigated non-selective beta-blockers for preventing decompensation in compensated cirrhosis and clinically significant portal hypertension (CSPH: hepatic venous pressure gradient ≥10 mmHg).
Front Public Health
January 2025
Department of Computer Science, College of Engineering and Computer Science, Jazan University, Jazan, Saudi Arabia.
Introduction: The growing demand for real-time, affordable, and accessible healthcare has underscored the need for advanced technologies that can provide timely health monitoring. One such area is predicting arterial blood pressure (BP) using non-invasive methods, which is crucial for managing cardiovascular diseases. This research aims to address the limitations of current healthcare systems, particularly in remote areas, by leveraging deep learning techniques in Smart Health Monitoring (SHM).
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