Using Mean Arterial Pressure in Hypertension Diagnosis versus Using Either Systolic or Diastolic Blood Pressure Measurements

Evaluating modifiable hypertension risk in Nigerian adults-The Nigerian diet risk score

AIMS

Our study aimed to derive and validate a diet risk score for clinical use in Nigeria to screen for hypertension risk and evaluate its association against a panel of cardiovascular biomarkers.

METHODS

The Nigerian dietary screening tool was used to collect dietary intake data from 151 participants visiting the River State University Teaching Hospital, Port Harcourt, Nigeria, for routine medical care. Blood samples were collected from a subsample (n = 94) for biomarker assessment. Multiple logistic regression was used to derive the Nigerian diet risk score for hypertension. Internal validation of the Nigerian diet risk score for hypertension was performed using measures of discrimination and calibration. Mediation analysis was used to evaluate the biomarker-mediated effects of the diet risk score for hypertension on hypertension. All statistical analyses were performed in R.

RESULTS

Each one-point increment in Nigerian diet risk score (on a scale of 0 to 30) was associated with a twofold increase in odds of hypertension (odds ratio: 2.04, 95% confidence interval [CI]: 1.16, 3.58, p = 0.01), with the highest score associated with >18-fold increased odds of hypertension, compared to lowest Nigerian diet risk score for hypertension. The score demonstrated good discrimination (area under the curve: 0.92, 95% CI: 0.80, 1.00) with a high sensitivity (0.85) and specificity (0.94). Additionally, mediation analysis suggested that the association between Nigerian diet risk score for hypertension and blood pressure is partly explained by shared biological pathways that mediate cholesterol, triglycerides, LDL-C, CRP and homocysteine levels.

CONCLUSION

The resulting Nigerian diet risk score for hypertension is a valuable tool for clinicians to identify individuals at risk of hypertension, and will advance community efforts in the prevention and management of hypertension in Nigeria.

Variability in Response to Valsartan and Its Relationship With AGT M235T Genotype and Other Nongenetic Parameters Among a Sample of Hypertensive Individuals in Jordan: A Prospective Pilot Study

Background

Valsartan, an angiotensin receptor antagonist widely used in hypertension and heart failure management, exhibits noticeable interindividual variation in response among hypertensive patients at the University of Jordan Hospital. The angiotensinogen (AGT) gene variant M235T, a functional genetic variant, influences the renin-angiotensin system.

Aims

This study aims to explore interindividual variations in the valsartan response, considering genetics, particularly the AGT M235T variant, and other nongenetic factors.

Methods

This cohort study involved 95 unrelated Arabic Jordanians diagnosed with essential hypertension. Systolic (SBP) and diastolic blood pressure (DBP) measurements were taken at the initiation of 160 mg valsartan and after 1 month of treatment, assessing the valsartan response for each patient. Genetic analysis of AGT M235T was done using the polymerase chain reaction-restriction fragment length polymorphism genotyping method. Anthropometric data were collected from University of Jordan Hospital computer records.

Results

Valsartan response assessment revealed diverse individual responses, the response to valsartan varied, with SBP reductions from < 10 to > 70 mmHg and DBP from < 2 to 30 mmHg. Patients with homozygous AGT M235T genotypes showed a less significant response (p < 0.05) to valsartan than heterozygous and reference genotypes. Additionally, results indicated a positive correlation of age (p = 0.03) and a negative correlation of height (p = 0.02-0.04) with the valsartan response. Regression analysis demonstrated that the patients' sex significantly influenced the valsartan response (p < 0.05).

Conclusions

This study identifies the AGT M235T genotype as a potential genetic contributor to variability in the valsartan response. Associations with age, height, and sex underscore the importance of considering genetic and demographic factors in tailoring valsartan therapy, for advancing personalized hypertension management.

A quantum-optimized approach for breast cancer detection using SqueezeNet-SVM

Breast cancer is one of the most aggressive types of cancer, and its early diagnosis is crucial for reducing mortality rates and ensuring timely treatment. Computer-aided diagnosis systems provide automated mammography image processing, interpretation, and grading. However, since the currently existing methods suffer from such issues as overfitting, lack of adaptability, and dependence on massive annotated datasets, the present work introduces a hybrid approach to enhance breast cancer classification accuracy. The proposed Q-BGWO-SQSVM approach utilizes an improved quantum-inspired binary Grey Wolf Optimizer and combines it with SqueezeNet and Support Vector Machines to exhibit sophisticated performance. SqueezeNet's fire modules and complex bypass mechanisms extract distinct features from mammography images. Then, these features are optimized by the Q-BGWO for determining the best SVM parameters. Since the current CAD system is more reliable, accurate, and sensitive, its application is advantageous for healthcare. The proposed Q-BGWO-SQSVM was evaluated using diverse databases: MIAS, INbreast, DDSM, and CBIS-DDSM, analyzing its performance regarding accuracy, sensitivity, specificity, precision, F1 score, and MCC. Notably, on the CBIS-DDSM dataset, the Q-BGWO-SQSVM achieved remarkable results at 99% accuracy, 98% sensitivity, and 100% specificity in 15-fold cross-validation. Finally, it can be observed that the performance of the designed Q-BGWO-SQSVM model is excellent, and its potential realization in other datasets and imaging conditions is promising. The novel Q-BGWO-SQSVM model outperforms the state-of-the-art classification methods and offers accurate and reliable early breast cancer detection, which is essential for further healthcare development.

Enhancing cardiovascular health monitoring: Simultaneous multi-artery cardiac markers recording with flexible and bio-compatible AlN piezoelectric sensors

Continuous monitoring of cardiovascular parameters like pulse wave velocity (PWV), blood pressure wave (BPW), stiffness index (SI), reflection index (RI), mean arterial pressure (MAP), and cardio-ankle vascular index (CAVI) has significant clinical importance for the early diagnosis of cardiovascular diseases (CVDs). Standard approaches, including echocardiography, impedance cardiography, or hemodynamic monitoring, are hindered by expensive and bulky apparatus and accessibility only in specialized facilities. Moreover, noninvasive techniques like sphygmomanometry, electrocardiography, and arterial tonometry often lack accuracy due to external electrical interferences, artifacts produced by unreliable electrode contacts, misreading from placement errors, or failure in detecting transient issues and trends. Here, we report a bio-compatible, flexible, noninvasive, low-cost piezoelectric sensor for continuous and real-time cardiovascular monitoring. The sensor, utilizing a thin aluminum nitride film on a flexible Kapton substrate, is used to extract heart rate, blood pressure waves, pulse wave velocities, and cardio-ankle vascular index from four arterial pulse sites: carotid, brachial, radial, and posterior tibial arteries. This simultaneous recording, for the first time in the same experiment, allows to provide a comprehensive cardiovascular patient's health profile. In a test with a 28-year-old male subject, the sensor yielded the SI = 7.1 ± 0.2 m/s, RI = 54.4 ± 0.5 %, MAP = 86.2 ± 1.5 mmHg, CAVI = 7.8 ± 0.2, and seven PWVs from the combination of the four different arterial positions, in good agreement with the typical values reported in the literature. These findings make the proposed technology a powerful tool to facilitate personalized medical diagnosis in preventing CVDs.

Postoperative Blood Pressure Goals After Craniotomy for Tumor Resection: A National Survey

BACKGROUND AND OBJECTIVES

Acute hypertension can occur in 90% of postcraniotomy patients for tumor resection, and 60% to 90% of patients require treatment with antihypertensive agents. Postoperative intracranial hemorrhage is a major driver of morbidity and mortality after craniotomy for tumor resection, and perioperative hypertension is believed to be a risk factor. Many neurosurgeons impose postoperative blood pressure (BP) goals to mitigate this risk, but there is little evidence to guide the selection of a specific target BP, leading to a wide variation in patient care. In this article, we have conducted a national survey to report the current practices regarding postoperative BP management.

METHODS

We conducted a cross-sectional survey of academic neurosurgical programs by distributing a 10-item questionnaire to neurosurgical residents of each accredited national neurosurgical residency training program (n = 117). Responses were collected over 3 months, from July 2023 to September 2023. Analysis was performed at the program level; for programs with multiple responding residents, the responses of the senior residents were retained.

RESULTS

Responses were received from 66 residents at 45 institutions. Forty-two programs set postoperative BP goals using systolic blood pressure (SBP) as a parameter, and 2 used mean arterial pressure. Among programs using an SBP goal, most programs kept a goal SBP of <140 mm Hg (41%-43% depending on the tumor type), followed by SBP <160 mm Hg (36%-39%). Most programs maintained this goal until the morning of the first postoperative day. Intravenous nicardipine (n = 12, 27%) and labetalol (n = 12, 27%) were the most frequently administered medications to maintain BP goals.

CONCLUSION

Most of the academic neurosurgical programs use a postoperative SBP goal after craniotomy for tumor resection. Programs are evenly divided between goals of SBP <140 mm Hg and SBP <160 mm Hg. The variability among programs indicates clinical equipoise between these 2 approaches in the context of a future clinical trial.

Impact of Hypertension and Physical Exercise on Hemolysis Risk in the Left Coronary Artery: A Computational Fluid Dynamics Analysis

Background and Objectives: Hypertension increases the risk of developing atherosclerosis and arterial stiffness, with secondarily enhanced wall stress pressure that damages the artery wall. The coexistence of atherosclerosis and hypertension leads to artery stenosis and microvascular angiopathies, during which the intravascular mechanical hemolysis of red blood cells (RBCs) occurs, leading to increased platelet activation, dysfunction of the endothelium and smooth muscle cells due to a decrease in nitric oxide, and the direct harmful effects of hemoglobin and iron released from the red blood cells. This study analyzed the impact of hypertension and physical exercise on the risk of hemolysis in the left coronary artery. Methods: To analyze many different cases and consider the decrease in flow through narrowed arteries, a flow model was adopted that considered hydraulic resistance in the distal section, which depended on the conditions of hypertension and exercise. The commercial ANSYS Fluent 2023R2 software supplemented with user-defined functions was used for the simulation. CFD simulations were performed and compared with the FSI simulation results. Results: The differences obtained between the FSI and CFD simulations were negligible, which allowed the continuation of analyses based only on CFD simulations. The drops in pressure and the risk of hemolysis increased dramatically with increased flow associated with increased exercise. A relationship was observed between the increase in blood pressure and hypertension, but in this case, the increase in blood pressure dropped, and the risk of hemolysis was not so substantial. However, by far, the case of increased physical activity with hypertension had the highest risk of hemolysis, which is associated with an increased risk of clot formation that can block distal arteries and lead to myocardial hypoxia. Conclusions: The influence of hypertension and increased physical exercise on the increased risk of hemolysis has been demonstrated.

Relationship between Postoperative Complications and Ratio of Amount of Wetting Solution to Ideal Body Weight in Liposuction Procedures

BACKGROUND

The use of wetting solutions (WSs) during high-volume liposuction is standard; however, the optimal amount of WS and its components and their effect on postoperative complications are unclear. We evaluated the effect of a WS and its components, calculated according to ideal body weight (IBW), on postoperative complications.

METHODS

High-volume liposuction with a WS containing 0.5 g of lidocaine and 0.5 mg of epinephrine in each liter was performed in 192 patients. Patients who received ≤90 mL/kg of WS were designated as group I and those who received >90 mL/kg of WS as group II. Postoperative complications and adverse events that occurred until discharge were recorded.

RESULTS

The mean total amount of epinephrine in the WS was significantly higher for group II (3.5 mg; range, 3.0-4.0 mg) than for group I (2.0 mg; range, 1.8-2.5 mg; p < 0.001), as was the mean total amount of lidocaine (3.5 g [range, 3.5-4.3 g] vs. 2.0 g [range, 1.8-2.5 g], respectively; p < 0.001). No major cardiac or pulmonary complications occurred in either group. Administration of >90 mL/kg of WS increased the median risk of postoperative nausea 5.3-fold (range, 1.8- to 15.6-fold), that of hypertension 4.9-fold (range, 1.1- to 17.7-fold), and that of hypothermia 4.2-fold (range, 1.1- to 18.5-fold). The two groups had similar postoperative pain scores and blood transfusion rates.

CONCLUSIONS

The risks of postoperative nausea, vomiting, hypothermia, and hypertension may increase in patients who receive >90 mL/kg of WS calculated according to IBW during high-volume liposuction.

Automatic identification of hypertension and assessment of its secondary effects using artificial intelligence: A systematic review (2013-2023)

Artificial Intelligence (AI) techniques are increasingly used in computer-aided diagnostic tools in medicine. These techniques can also help to identify Hypertension (HTN) in its early stage, as it is a global health issue. Automated HTN detection uses socio-demographic, clinical data, and physiological signals. Additionally, signs of secondary HTN can also be identified using various imaging modalities. This systematic review examines related work on automated HTN detection. We identify datasets, techniques, and classifiers used to develop AI models from clinical data, physiological signals, and fused data (a combination of both). Image-based models for assessing secondary HTN are also reviewed. The majority of the studies have primarily utilized single-modality approaches, such as biological signals (e.g., electrocardiography, photoplethysmography), and medical imaging (e.g., magnetic resonance angiography, ultrasound). Surprisingly, only a small portion of the studies (22 out of 122) utilized a multi-modal fusion approach combining data from different sources. Even fewer investigated integrating clinical data, physiological signals, and medical imaging to understand the intricate relationships between these factors. Future research directions are discussed that could build better healthcare systems for early HTN detection through more integrated modeling of multi-modal data sources.

Factors Associated with Hypertension Among Adults: A Cross-Sectional Analysis of the Indonesian Family Life Survey

Purpose

Hypertension (HTN) poses a significant health risk for Indonesia's large population. Underlying factors contributing to this disease are not fully understood at a national level. Therefore, this study aimed to evaluate factors associated with HTN in Indonesia.

Patients and Methods

This study used data from the Indonesian Family Life Survey-5, a 2014 national cross-sectional population-based survey of individuals aged 15 years and older. The mean arterial pressure (MAP) value was determined from three blood pressure measurements taken by trained nurses using Omron digital sphygmomanometers. The respondent was classified as hypertensive when the MAP value was at least 100. The study summarised the socio-demographic factors (age, gender, marital status, ethnicity and occupation status) and lifestyle habits (smoking, sleep quality, physical activity) with descriptive statistics. The potential associations between these factors and HTN were assessed using logistic regression analysis. The results were reported in terms of odds ratios (OR) with a 95% confidence interval (CI).

Results

The study included 32,670 respondents; 31.2% of them had HTN. Factors that were more likely associated with HTN were being <65 years old, being married (OR 1.257, 95% CI 1.170-1.352) and being smoker (OR 1.297, 95% CI 1.198-1.404), while being male (OR 0.677, 95% CI: 0.625-0.733) and doing no physical activity (OR 0.870, 95% CI: 0.813-0.930) were less likely to be associated with HTN.

Conclusion

This study indicates that there are associations between certain socio-demographic factors and lifestyle habits with HTN in Indonesia. This information may help policymakers and healthcare providers to develop effective strategies in order to control HTN in Indonesia, thereby improving the overall health and well-being of the population.

Blood pressure changes during tenofovir-based antiretroviral therapy among people living with HIV in Lilongwe, Malawi: results from the prospective LighTen Cohort Study

BACKGROUND

Sub-Saharan Africa is one of the regions in the world with the highest numbers of uncontrolled hypertension as well as people living with HIV/AIDS (PLHIV). However, the association between hypertension and antiretroviral therapy is controversial.

METHODS

Participant demographics, medical history, laboratory values, WHO clinical stage, current medication, and anthropometric data were recorded at study entry and during study visits at 1, 3, 6 months, and every 6 months thereafter until month 36. Patients who stopped or changed their antiretroviral therapy (tenofovir, lamivudine, efavirenz) were censored on that day. Office blood pressure (BP) was categorized using ≥ 2 measurements on ≥ 2 occasions during the first three visits. Factors associated with systolic and mean BP were analyzed using bivariable and multivariable multilevel linear regression.

RESULTS

1,288 PLHIV (751 females, 58.3%) could be included and 832 completed the 36 months of observation. Weight gain and a higher BP level at study entry were associated with an increase in BP (p < 0.001), while female sex (p < 0.001), lower body weight at study entry (p < 0.001), and high glomerular filtration rate (p = 0.009) protected against a rise in BP. The rate of uncontrolled BP remained high (73.9% vs. 72.1%) and despite indication treatment, adjustments were realized in a minority of cases (13%).

CONCLUSION

Adherence to antihypertensive treatment and weight control should be addressed in patient education programs at centers caring for PLHIV in low-resources settings like Malawi. Together with intensified training of medical staff to overcome provider inertia, improved control rates of hypertension might eventually be achieved.

TRIAL REGISTRATION

NCT02381275.

Antihypertensive effect of the stem bark aqueous extract of Garcinia lucida Vesque (Clusiaceae) in L-NAME-treated rats: Contribution of endothelium-dependent and -independent vasorelaxation

Garcinia lucida is used in Cameroonian folk medicine to handle a variety of ailments, including arterial hypertension. This study aimed at determining the phytochemical profile and the antihypertensive effect of the stem bark aqueous extract of G. lucida (AEGL). AEGL was subjected to LC-MS analysis, and its effect (75, 150, and 300 mg/kg/day; by gavage) was evaluated against Nω-nitro-L-arginine methyl ester (L-NAME; 40 mg/kg)-induced hypertension in adult male Wistar rats for four consecutive weeks. Blood pressure and heart rate were monitored weekly using tail-cuff plethysmography. The vasorelaxant effect of cumulative concentrations (3-10-30-100-300 μg/mL) of AEGL was examined on endothelium-intact and denuded thoracic aorta rings which were precontracted with KCl (90 mM) or norepinephrine (NE; 10-5 M), and in the absence or presence of L-NAME (10-4 M), indomethacin (10-5 M), methylene blue (10-6 M), tetraethylammonium (TEA, 5 × 10-6 M), glibenclamide (10 × 10-6 M) or propranolol (5 × 10-6 M). The influence of AEGL on the response to NE, KCl, and CaCl2 was also investigated. Six compounds, including Garcinia biflavonoids GB1 and GB2, were identified. AEGL prevented the development of hypertension (p < 0.01 and p < 0.001) without affecting the heart rate. AEGL induced a concentration-dependent relaxation of aortic rings precontracted with NE (EC50 = 7.915 μg/mL) that was significantly inhibited by the removal of the endothelium, L-NAME, or methylene blue (p < 0.05-0.001). Indomethacin, propranolol, TEA, and glibenclamide did not affect AEGL-evoked vasorelaxation. Preincubation of aortic rings with AEGL reduced the magnitude of contraction elicited by CaCl2 but did not alter that of KCl or NE. AEGL possesses an antihypertensive effect that is mediated by both endothelium-dependent and endothelium-independent mechanisms. The activation of the NO/sGC/cGMP pathway accounts for the endothelium-dependent vasorelaxation. These pharmacological effects of AEGL could be attributed to the presence of the Garcinia biflavonoids GB1 and GB2.

SNSVM: SqueezeNet-Guided SVM for Breast Cancer Diagnosis

Breast cancer is a major public health concern that affects women worldwide. It is a leading cause of cancer-related deaths among women, and early detection is crucial for successful treatment. Unfortunately, breast cancer can often go undetected until it has reached advanced stages, making it more difficult to treat. Therefore, there is a pressing need for accurate and efficient diagnostic tools to detect breast cancer at an early stage. The proposed approach utilizes SqueezeNet with fire modules and complex bypass to extract informative features from mammography images. The extracted features are then utilized to train a support vector machine (SVM) for mammography image classification. The SqueezeNet-guided SVM model, known as SNSVM, achieved promising results, with an accuracy of 94.10% and a sensitivity of 94.30%. A 10-fold cross-validation was performed to ensure the robustness of the results, and the mean and standard deviation of various performance indicators were calculated across multiple runs. This model also outperforms state-of-the-art models in all performance indicators, indicating its superior performance. This demonstrates the effectiveness of the proposed approach for breast cancer diagnosis using mammography images. The superior performance of the proposed model across all indicators makes it a promising tool for early breast cancer diagnosis. This may have significant implications for reducing breast cancer mortality rates.