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Hypertension III: Clinical Manifestations and Diagnostic Studies01:30

Hypertension III: Clinical Manifestations and Diagnostic Studies

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Hypertension is asymptomatic and also referred to as the "silent killer" until it progresses to a severe stage or causes target organ disease. Patients may experience symptoms stemming from the strain on blood vessels and tissues in various organs or the heart's increased workload.Physical exams might show no abnormalities other than high blood pressure. Signs of vascular damage, when present, correspond to the organs supplied by the affected vessels, leading to target organ damage. For...
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Hypertension I: Introduction01:28

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Hypertension is a widespread, long-term medical condition where blood pressure in the arteries remains elevated. It is characterized by systolic blood pressure readings of 130 mm Hg or above or diastolic blood pressure (DBP) readings of 80 mm Hg or higher. Unmanaged hypertension poses significant health risks, making the distinction between primary (or essential) hypertension and secondary hypertension crucial, as their management and implications vary.Primary HypertensionPrimary hypertension,...
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Hypertension II: Pathophysiology01:29

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Hypertension is a chronic condition in which the blood's force against artery walls is excessively high, posing risks such as heart disease. The condition's underlying mechanisms involve complex interactions among the cardiovascular, kidney, and autonomic nervous systems.Renin-Angiotensin-Aldosterone System (RAAS): This system significantly influences blood pressure regulation. When blood pressure decreases, the kidneys secrete renin. This enzyme transforms angiotensinogen, a plasma protein,...
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Hypertension and Regulation of Blood Pressure01:18

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Hypertension, the most common cardiovascular disease, is diagnosed through repeated measurements of elevated blood pressure. Its risks, including damage to the kidney, heart, and brain, are directly proportional to blood pressure levels. Starting from 115/75 mm Hg, the risk of cardiovascular disease doubles with each increment of 20/10 mm Hg. The diagnosis relies on blood pressure measurements, not on patient symptoms, as hypertension is often asymptomatic until end-organ damage is imminent or...
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Hypertension IV: Drug Therapy and Lifestyle Modifications01:28

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Multiple classes of antihypertensive medications are employed in treating hypertension. The most commonly recommended first-line treatments include:Thiazide Diuretics, such as chlorthalidone, increase sodium and water excretion from the body, reducing blood volume and blood pressure.Angiotensin-converting enzyme inhibitors, like lisinopril, block the conversion of angiotensin I to II, a potent vasoconstrictor lowering blood pressure.Angiotensin II Receptor Blockers (ARBs) prevent angiotensin II...
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Pre-Procedural Guidelines for Assessing Blood Pressure01:10

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Accurate blood pressure assessment is crucial for diagnosing and managing various health conditions. To ensure the reliability of these measurements, healthcare professionals must adhere to standardized pre-procedural guidelines. These guidelines enhance patient safety and improve the overall quality of healthcare. The following steps are essential for obtaining accurate and consistent blood pressure readings, from using the appropriate tools to ensuring effective communication with the...
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Clinical Phenotypes in Hypertension: A Data-Driven Approach to Risk Stratification.

Elisa Rauseo1,2,3, Ahmed M Salih1,3,4,5, Jackie Cooper1

  • 1William Harvey Research Institute, NIHR Barts Biomedical Research Centre (E.R., A.M.S., J.C., M.A., S.C., H.N., P.B.M., N.A., S.E.P.), Queen Mary University London, Charterhouse Square, United Kingdom.

Hypertension (Dallas, Tex. : 1979)
|December 11, 2025
PubMed
Summary
This summary is machine-generated.

Unsupervised machine learning identified three distinct hypertension phenotypes. One male-predominant cluster showed high atherosclerosis and greatest cardiovascular risk, while another resembled metabolic syndrome with moderate risks.

Keywords:
atherosclerosisatrial fibrillationheart failuremagnetic resonance imagingphenotype

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Area of Science:

  • Cardiology
  • Medical Informatics
  • Genetics

Background:

  • Hypertension is a leading cause of cardiovascular disease, but its diverse nature complicates risk assessment.
  • Unsupervised machine learning offers a way to identify distinct patient subgroups for better risk stratification and targeted prevention.
  • This study aimed to use a data-driven approach to define hypertension phenotypes and their links to cardiovascular outcomes.

Purpose of the Study:

  • To identify distinct clinical phenotypes of hypertension using unsupervised machine learning.
  • To investigate the association of these phenotypes with cardiovascular imaging characteristics and adverse clinical outcomes.
  • To evaluate the mediating role of cardiac imaging features in the relationship between hypertension phenotypes and outcomes.

Main Methods:

  • Analysis of 14,840 UK Biobank participants with diagnosed hypertension and cardiovascular magnetic resonance imaging data.
  • Application of k-means clustering to 77 clinical variables to identify distinct hypertension clusters.
  • Examination of associations between clusters and outcomes (heart failure, atrial fibrillation, atherosclerotic events, mortality) adjusted for risk factors, with mediation analyses for imaging features.

Main Results:

  • Three distinct hypertension clusters were identified.
  • Cluster 2, predominantly male with high atherosclerosis, exhibited the highest risk for all adverse cardiovascular events, linked to severe cardiac remodeling and dysfunction.
  • Cluster 3, resembling metabolic syndrome, showed moderate risks for atrial fibrillation and mortality, with risk partially mediated by left ventricular hypertrophy and left atrial dysfunction.

Conclusions:

  • Clustering analysis successfully identified distinct hypertension phenotypes with unique risk profiles.
  • These findings suggest that a data-driven approach can improve hypertension risk stratification.
  • Tailored treatment strategies may be developed based on these identified phenotypes.