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Related Concept Videos

Alterations in Blood Pressure01:30

Alterations in Blood Pressure

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Alterations in blood pressure, such as hypertension (high blood pressure) and hypotension (low blood pressure), significantly affect human health. Understanding these conditions' classifications, causes, and symptoms is essential for effective management and treatment.
Hypertension (High blood pressure)
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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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Errors occurring during blood pressure monitoring01:25

Errors occurring during blood pressure monitoring

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Blood pressure monitoring is a crucial clinical procedure in diagnosing and managing various cardiovascular conditions. Despite its significance, the accuracy of blood pressure measurements can be compromised by multiple factors, potentially leading to either falsely high or low readings. These inaccuracies are critical as they can significantly impact patient care. So, it is vital to understand these challenges deeply and adopt strategic approaches to minimize errors.
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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

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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Heart Failure V: Medical Management01:30

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Medical Management of Acute Decompensated Heart Failure (ADHF)The primary goals of therapy for patients hospitalized with acute decompensated heart failure (ADHF) include:Relieving symptomsOptimizing volume statusSupporting oxygenation and ventilationMaintaining cardiac output (CO) and end-organ perfusionIdentifying and addressing the cause of ADHFPreventing complicationsProviding patient education on factors precipitating HF exacerbationPlanning for dischargeOngoing monitoring and assessment...
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Updated: Aug 29, 2025

Echocardiographic Assessment Using Subxiphoid-Only Examination for Hypotensive Patients
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Machine learning for predicting acute hypotension: A systematic review.

Anxing Zhao1,2, Mohamed Elgendi1, Carlo Menon1

  • 1Biomedical and Mobile Health Technology Lab, ETH Zürich, Zürich, Switzerland.

Frontiers in Cardiovascular Medicine
|September 9, 2022
PubMed
Summary
This summary is machine-generated.

Predicting acute hypotensive episodes (AHE) using machine learning shows promise, with algorithms achieving up to 96% accuracy. This review analyzes 14 ML methods for AHE prediction, aiding clinical decision-making.

Keywords:
anesthesiadigital healthemergency and critical carehypertensionhypotensionintensive care unitlow blood pressureobstetric and gynecologic

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Area of Science:

  • Biomedical Engineering
  • Clinical Informatics
  • Data Science

Background:

  • Acute hypotensive episodes (AHE) pose significant, life-threatening risks to patients.
  • Accurate and non-invasive prediction of AHE is a critical clinical challenge.
  • Machine learning (ML) offers novel approaches to AHE prediction.

Approach:

  • Systematic review of ML algorithms for AHE prediction.
  • Analysis of studies published between 2008 and 2021.
  • Inclusion of 35 full-text articles from an initial search of 437.

Key Points:

  • Fourteen ML algorithms were evaluated for AHE prediction.
  • Support Vector Machine (SVM) was the most frequently studied algorithm (12 articles).
  • Algorithm accuracy ranged from 70% to 96% across diverse study sample sizes.

Conclusions:

  • ML algorithms demonstrate considerable potential for predicting AHE.
  • Further research is recommended to refine and validate these predictive models.
  • Optimizing ML for AHE prediction can improve patient outcomes and clinical management.