Hypertension

Prevalence of hypertension and diabetes in Bangladesh: identifying gaps in awareness and misinformation.

OBJECTIVE: Non-communicable diseases (NCDs) are a growing health burden in low- and middle-income countries, with hypertension and poor glycaemic control being key contributors. This study aimed to assess the prevalence, awareness, and misinformation surrounding hypertension and diabetes in Bangladesh, identifying high-risk groups. METHODS: Data from the nationally representative 2022 Bangladesh D...

Current and Novel Biomarkers for Diagnosis and Subtyping of Primary Aldosteronism.

Primary aldosteronism is a common and potentially curable cause of secondary hypertension, yet it remains substantially underdiagnosed. Current diagnostic pathways rely on the aldosterone-to-renin ratio, confirmatory tests, and subtype classification by imaging and adrenal venous sampling. However, these approaches are limited by assay variability, medication effects, imperfect diagnostic accuracy...

Application of AI in Hypertension Health Education: Scoping Review.

BACKGROUND: Hypertension is a major global health challenge, and effective health education is crucial for improving patients' self-management. Tradit...

Non-invasive arterial blood pressure waveform generation in critically ill patients: A sensor-based deep learning approach.

Continuous monitoring of Arterial Blood Pressure (ABP) in critically ill patients requires invasive arterial catheterization, which carries risks of t...

Explainable machine learning for 10-year prediction of cognitive impairment in a rural Chinese population.

Cognitive impairment (CI) is an emerging public health challenge in rural aging populations, where access to formal cognitive testing is limited. Usin...

Arterial blood pressure waveform reconstruction estimation from PPG using TCN-BiLSTM.

Photoplethysmography PPG is a non-invasive and effective method for continuously measuring blood pressure BP without the use of a cuff. However, its a...

Transforming Pulmonary Arterial Hypertension: Key Milestones and Future Perspectives.

Pulmonary arterial hypertension (PAH) is a rare, progressive disease of the precapillary pulmonary arteries, characterized by fibroproliferative vascu...

Association Between the Hemoglobin-to-Red Blood Cell Distribution Width Ratio and Perioperative Mortality Risk in Myasthenia Gravis Patients with Sepsis: A Retrospective Cohort Study.

BackgroundThis study aims to explore the association between the Hemoglobin/Red Cell Distribution Width Ratio (HRR) and perioperative mortality in mya...

Disparities in severe infection risk associated with systemic lupus erythematosus: evidence from a causal forest analysis.

OBJECTIVES: Severe infections are a primary cause of morbidity and premature mortality in patients with Systemic Lupus Erythematosus (SLE). Although S...

Single lead electrocardiographic detection of left ventricular systolic dysfunction in pediatric and congenital heart disease.

Portable, scalable, and accessible artificial intelligence (AI)-enabled smartwatch technology shows promise as a cardiovascular risk stratification st...

Artificial intelligence-based calcium scoring using 3D transesophageal echocardiography in aortic stenosis: a pilot study.

BACKGROUND: Aortic valve calcium scoring by computed tomography (CT) is an established method for assessing aortic stenosis severity but is limited by...

Automated whole-heart volumetrics and haemodynamics from 4D flow CMR magnitude images: development and validation of a deep learning model.

AIMS: 4D flow cardiovascular magnetic resonance (CMR) offers a comprehensive haemodynamic assessment but is often limited by long acquisition times an...

Machine learning for predicting emergency department visits in patients with type 2 diabetes: A real-world, multi-institutional study.

BACKGROUND: Patients with type 2 diabetes mellitus (T2DM) prone to acute diabetic complications are at high risk for emergency department (ED) visits,...

Risk prediction of non-small cell lung cancer in patients with pulmonary nodules: a single-center cohort study based on six machine learning algorithms.

OBJECTIVE: Lung cancer is a major global public health concern. Non-small cell lung cancer (NSCLC), the most common subtype, has drawn increasing atte...

Validation of a pan-ELastography Machine-learning (ELM) score to predict clinically significant portal hypertension in compensated advanced chronic liver disease.

BACKGROUND: Clinically significant portal hypertension (CSPH) drives decompensation and mortality in advanced chronic liver disease (ACLD). Although n...

Evaluation of a sleep sound analysis smartphone app for home obstructive sleep apnea screening among community-dwelling Chinese adults with hypertension.

PURPOSE: This study aimed to evaluate the validity and feasibility of home obstructive sleep apnea screening using a sleep sound analysis smartphone a...

Task-shifting to nonexperts using artificial intelligence-guided point-of-care ultrasound: a cohort study of patient selection, image quality, and learning curves.

AIMS: To define rates of diagnostic image acquisition, clinical drivers of image quality and the learning curve for artificial intelligence (AI)-guide...

Comprehensive and low-cost machine learning models for predicting MASLD prevalence: cross-sectional evidence from the amol cohort study (AmolCS).

Metabolic dysfunction-associated steatotic liver disease (MASLD) represents a growing global health burden, yet early detection remains difficult, esp...

Computational intelligence using nailfold videocapillaroscopy for the prediction of carotid intima-media thickness in rheumatoid arthritis: a cohort-based study.

Despite continuously evolving medical advances, CVD risk in Rheumatoid Arthritis (RA) remains paradoxically high to date. Carotid intima-media thickne...

Associations of Accelerometer-Derived "Weekend Warrior" Physical Activity Pattern With Incident First Cardiometabolic Disease and Cardiometabolic Multimorbidity in Individuals With Hypertension.

BACKGROUND: To examine associations between accelerometer-derived "weekend warrior" (WW) physical activity pattern (most moderate-to-vigorous-intensit...