Introduction: Hypertension in black is more frequent with early onset and clinically more severe. The blood pressure control and the decrease of global cardiovascular risk are two main goals of the treatment of hypertension. The objectives of this study were to determine the proportion of uncontrolled hypertension in hypertensive patients followed as outpatients and to investigate the factors associated with poor control.
Patients And Methods: This is a descriptive cross-sectional study including 456 hypertensive patients known and followed as outpatients. Blood pressure measurement was performed between 8 am and 12 noon both arms in the supine position, after a compliance averaging 8 minutes of rest. We searched for conventional cardiovascular risk factors (age superior or equal to 45 years for men and superior or equal to 55 for women, physical inactivity, overweight/obesity, smoking, diabetes and dyslipidemia) and calculated the global cardiovascular risk according to the Framingham model. Was regarded as uncontrolled high blood pressure SBP superior or equal to 140 mmHg and/or DBP superior or equal to 90 mmHg. Univariate analysis and multivariate logistic regression (using SPSS program version 17) were conducted to look for factors associated with poor blood pressure control.
Results: We recruited 456 hypertensive patients including 259 women (56.8%). Modifiable cardiovascular risk factors also hypertension were dominated by dyslipidemia (29.8%) and diabetes (24.6%). The global cardiovascular risk calculated using the Framingham model was low in 21.3%, moderate in 34.0%, high in 24.8% and very high in 19.9% of cases. The proportion of uncontrolled hypertension was 54.2% (n=247 including 126 women and 121 men). This poor blood pressure control was associated (multivariate analysis) at age superior or equal to 60 years, low socioeconomic status, high to very high cardiovascular risk, antihypertensive monotherapy, treatment duration superior or equal to 10 years, an associated treatment and non-compliance therapy.
Conclusion: More than half of hypertensive patients in our study were not adequately controlled on antihypertensive therapy. Factors of poor control were age superior or equal to 60 years, low socioeconomic status, high to very high cardiovascular risk, antihypertensive monotherapy, treatment duration superior or equal to 10 years, an associated treatment and non-compliance therapy.
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http://dx.doi.org/10.1016/j.ancard.2012.05.001 | DOI Listing |
Kidney Int Rep
January 2025
Amsterdam UMC, location AMC, Nephrology, Amsterdam, the Netherlands.
Introduction: The low incidence of intradialytic hypotension (IDH) in high-volume (HV) hemodiafiltration (HDF) may help in maintaining gut perfusion during treatment. Preservation of gut endothelial integrity would limit or prevent bacterial translocation and subsequent systemic inflammation, which may contribute to the low mortality rate in HV-HDF.
Methods: Forty patients were cross-over randomized to standard (hemodialysis [HD]) (S-HD), cool HD (C-HD), and HDF (low-volume [LV] and HV, convection volume (CV) of 15 L and ≥ 23 L per session, respectively), each for 2 weeks.
Curr Med Imaging
January 2025
School of Life Sciences, Tiangong University, Tianjin 300387, China.
Objective: The objective of this research is to enhance pneumonia detection in chest X-rays by leveraging a novel hybrid deep learning model that combines Convolutional Neural Networks (CNNs) with modified Swin Transformer blocks. This study aims to significantly improve diagnostic accuracy, reduce misclassifications, and provide a robust, deployable solution for underdeveloped regions where access to conventional diagnostics and treatment is limited.
Methods: The study developed a hybrid model architecture integrating CNNs with modified Swin Transformer blocks to work seamlessly within the same model.
MethodsX
June 2025
Assistant Professor, Department of Electronics and Communication Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Tamil Nadu, 600062, India.
Glaucoma, a severe eye disease leading to irreversible vision loss if untreated, remains a significant challenge in healthcare due to the complexity of its detection. Traditional methods rely on clinical examinations of fundus images, assessing features like optic cup and disc sizes, rim thickness, and other ocular deformities. Recent advancements in artificial intelligence have introduced new opportunities for enhancing glaucoma detection.
View Article and Find Full Text PDFJ Orthop Case Rep
January 2025
Arthritis and Breast Care Centre, Kurukshetra, Haryana, India.
Introduction: Gouty arthritis is a common inflammatory condition caused by the deposition of uric acid crystals in the joints, leading to intense pain, swelling, and functional impairment. Thermal therapies, including hot and cold fomentation, are often used as adjunctive treatments for managing inflammation and pain in various musculoskeletal conditions. However, the efficacy of these therapies in acute gout remains underexplored.
View Article and Find Full Text PDFSensors (Basel)
December 2024
Department of Signal Processing and Multimedia Engineering, West Pomeranian University of Technology in Szczecin, al. Piastow 17, 70-310 Szczecin, Poland.
The safety of the airspace could be improved by the use of visual methods for the detection and tracking of aircraft. However, in the case of the small angular size of airplanes and the high noise level in the image, sufficient use of such methods might be difficult. By using the ConvNN (Convolutional Neural Network), it is possible to obtain a detector that performs the segmentation task for aircraft images that are very small and lost in the background noise.
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