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Related Concept Videos

Hypertension IV: Drug Therapy and Lifestyle Modifications01:28

Hypertension IV: Drug Therapy and Lifestyle Modifications

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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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Hypertension V: Nursing Management01:23

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The nursing management of hypertension involves accurately assessing symptoms, making a comprehensive nursing diagnosis, collaborating with patients to set goals, and implementing targeted interventions to mitigate the condition's impact and improve patient well-being.Comprehensive AssessmentThe initial step in nursing care for hypertension involves a thorough patient assessment. It includes evaluating symptoms such as headaches, dizziness, blurred vision, and previous hypertension episodes.
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Hypertension III: Clinical Manifestations and Diagnostic Studies01:30

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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, 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 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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The activation of the sympathetic nervous system and the renin-angiotensin-aldosterone system (RAAS) contributes to cardiac remodeling, and inhibiting the RAAS is a pharmacological target in heart failure management. As a result, neurohumoral modulation is a crucial treatment principle for managing heart failure. This approach involves using medications like ACE inhibitors (ACEIs), angiotensin receptor blockers (ARBs), β-blockers, mineralocorticoid receptor antagonists (MRAs), and neutral...
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Large Language Model Agent for Managing Patients With Suspected Hypertension.

Yijun Wang1,2, Wuping Tan3, Siyi Cheng4

  • 1Department of Cardiology, The First Affiliated Hospital of Bengbu Medical University, Bengbu, Anhui, P.R. China (Y.W., J.L., J.W.).

Hypertension (Dallas, Tex. : 1979)
|October 9, 2025
PubMed
Summary

The Cascade Framework, an AI agent, significantly improves hypertension management by enhancing patient education and clinical decision support. This AI tool shows promise for personalized health strategies and better patient outcomes.

Keywords:
artificial intelligenceblood pressuredigital healthhypertensionlarge language models

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Area of Science:

  • Artificial Intelligence in Healthcare
  • Clinical Decision Support Systems
  • Digital Health and Personalized Medicine

Background:

  • The efficacy of Large Language Model (LLM) agent frameworks for hypertension screening and personalized health management remains under-explored.
  • Hypertension requires effective screening, education, and management strategies to mitigate health risks.

Purpose of the Study:

  • To develop and evaluate the Cascade Framework, an LLM-based agent designed for hypertension education and clinical decision support.
  • To assess the framework's effectiveness in improving patient understanding and clinical decision-making accuracy for hypertension.

Main Methods:

  • Developed the Cascade Framework using the Dify platform.
  • Conducted a two-phase evaluation (August 2024 - June 2025) involving performance benchmarking of LLMs (ChatGPT-4o, ChatGPT-4oMini, DeepSeek-V3) and their Cascade-enhanced versions.
  • Performed external validation on a cohort of patients with suspected hypertension.

Main Results:

  • Cascade integration significantly improved educational outcomes (accuracy, credibility, emotional support) and LLM performance.
  • Blood pressure classification accuracy increased from 62.5% to 87.0%, and risk factor stratification improved from 60.4% to 98.6%.
  • Clinical decision-making accuracy rose to 92.5%, surpassing physician performance in external validation (95.3% accuracy).

Conclusions:

  • The Cascade Framework demonstrates potential to enhance hypertension management through improved patient education and clinical decision support.
  • Its extensible architecture facilitates integration into existing clinical workflows, offering transparent reasoning pathways for healthcare providers.