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Hypertension and Regulation of Blood Pressure01:18

Hypertension and Regulation of Blood Pressure

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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 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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Hormonal Regulation01:33

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The renin-aldosterone system is an endocrine system which guides the renal absorption of water and electrolytes, thus managing blood pressure and osmoregulation. Activation of the system begins in the kidneys with a small cluster of cells adjacent to the afferent and efferent blood vessels of the renal corpuscle. As the nephrons are filtering blood, juxtaglomerular cells monitor blood pressure. If they detect a decrease in pressure, they release the hormone renin into the bloodstream.
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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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Antihypertensive Drugs: Potassium-Sparing Diuretics01:28

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Liddle syndrome is a genetically inherited form of hypertension characterized by the overactivity of epithelial sodium channels in the nephron, the functional unit of the kidney. This heightened activity leads to increased sodium reabsorption and excessive excretion of potassium. To counteract this, potassium-sparing diuretics such as amiloride are used. They function by blocking these sodium channels, thereby reducing the influx of sodium into the epithelial cells and minimizing the loss of...
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Electronic Health Record-Based Prediction Model to Predict Primary Aldosteronism Risk in People With Hypertension.

Kidmealem Zekarias1, Jacob Kohlenberg1, Meng Xu2

  • 1Division of Diabetes, Endocrinology and Metabolism, University of Minnesota, Minneapolis, Minnesota.

Endocrine Practice : Official Journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists
|December 19, 2025
PubMed
Summary

This study developed an electronic health record (EHR)-based model to identify patients with primary aldosteronism (PA), a common cause of secondary hypertension. The model aids in prioritizing screening for PA in hypertensive individuals.

Keywords:
clinical decision supportelectronic health recordsmachine learningprediction modelingprimary aldosteronismsecondary hypertension

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Area of Science:

  • Endocrinology
  • Cardiovascular Medicine
  • Health Informatics

Background:

  • Primary aldosteronism (PA) is a significant, yet underdiagnosed, cause of secondary hypertension.
  • Early diagnosis and treatment of PA are crucial for managing hypertension and reducing cardiovascular risk.

Purpose of the Study:

  • To develop and validate an electronic health record (EHR)-based prediction model.
  • To identify patients with hypertension at high risk for primary aldosteronism (PA).

Main Methods:

  • A cohort of 4,564 patients screened for PA was used, split into discovery (3650) and validation (914) groups.
  • Machine learning methods were applied to 74 candidate predictors to construct a logistic regression model with 15 variables.
  • The model's performance was validated on the independent validation cohort.

Main Results:

  • The model achieved an area under the receiver operating characteristic curve of 0.7 in the validation cohort.
  • Key predictors included race, hypokalemia, number of antihypertensive medications, obstructive sleep apnea, serum bicarbonate, and glomerular filtration rate.
  • The top 10% highest-risk subgroup identified by the model had a 29% prevalence of PA, showing 2.7-fold enrichment.

Conclusions:

  • The EHR-based prediction model demonstrates moderate discriminative performance for identifying PA.
  • The model can potentially improve clinical utility by prioritizing screening efforts for primary aldosteronism.
  • Identifying high-risk individuals can lead to earlier diagnosis and management of PA.