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Related Concept Videos

Factors Influencing Heart Rate01:30

Factors Influencing Heart Rate

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The heart rate, or pulse rate, is a vital indicator of cardiovascular health. It reflects the number of times the heart beats per minute. Various physiological and environmental factors influence heart rate, increasing or decreasing cardiac output. Understanding these factors is crucial for assessing heart function and identifying potential health issues.
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Decreased pulse rate01:14

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Bradycardia is a medical condition in which the heart rate is slower than normal. It occurs when the heart's natural pacemaker, the sinus node, generates slower electrical impulses than the standard rhythm. In adults, bradycardia is diagnosed when the pulse rate falls below 60 beats per minute, indicating a deviation from the normal heart rate range.
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Regulation of Heart Rates01:31

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The regulation of heart rate is a complex process controlled by the autonomic nervous system (ANS), hormonal influences, and intrinsic cardiac mechanisms. The ANS has two main components: the sympathetic nervous system (SNS) and the parasympathetic nervous system (PNS).
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Cardiac Output I:Effect of Heart Rate on Cardiac Output01:19

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Cardiac Output
Cardiac output (CO) refers to the total amount of blood ejected by one of the ventricles in liters per minute (L/min). In a resting adult, CO ranges from 5 to 6 L/min, adjusting according to the body's metabolic requirements.
Effect of Heart Rate on Cardiac Output
Cardiac output adapts to metabolic demands during stress, physical activity, or illness. The autonomic nervous system regulates heart rate via the sinoatrial node. The parasympathetic nervous system decreases heart...
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Therapeutic Drug Monitoring: Affecting Factors01:29

Therapeutic Drug Monitoring: Affecting Factors

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Therapeutic Drug Monitoring (TDM) is the clinical practice of measuring specific drug levels in a patient's blood or body tissues to manage and optimize therapy. TDM is crucial for drugs with narrow therapeutic windows, like warfarin and phenytoin, where incorrect doses can lead to treatment failure or severe side effects. This monitoring ensures the dosage administered is within a safe and effective range. The factors affecting therapeutic drug monitoring include:Patient-Specific Factors:a.
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Heart Failure III: Clinical Manifestations01:26

Heart Failure III: Clinical Manifestations

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Heart failure (HF) manifests primarily as dyspnea, fatigue, and fluid retention, resulting in peripheral and pulmonary edema. Symptoms may vary depending on which ventricle is more affected, left or right.Left-Sided Heart FailureAlso known as left ventricular failure, this condition results from the left ventricle's inability to fill or eject sufficient blood into the systemic circulation. It leads to pulmonary congestion, which occurs when the left ventricle fails to eject blood effectively...
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Calculating Heart Rate Variability from ECG Data from Youth with Cerebral Palsy During Active Video Game Sessions
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Heart rate variability predicts the magnitude of heart rate decrease after fingolimod initiation.

Sakari Simula1, Tomi P Laitinen2, Tiina M Laitinen2

  • 1Department of Neurology, Mikkeli Central Hospital, Mikkeli, Finland.

Multiple Sclerosis and Related Disorders
|December 7, 2016
PubMed
Summary
This summary is machine-generated.

Cardiac autonomic regulation, measured by pNN50, can predict significant heart rate decreases in patients starting fingolimod for multiple sclerosis. This finding aids in managing potential side effects of this disease-modifying therapy.

Keywords:
FingolimodHeart rateHeart rate variabilityMultiple sclerosis

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Area of Science:

  • Cardiology
  • Neurology
  • Pharmacology

Background:

  • Fingolimod is a disease-modifying therapy for relapsing-remitting multiple sclerosis (RRMS).
  • Initiation of fingolimod can cause a significant decrease in heart rate (HR), necessitating clinical monitoring.
  • Predicting this HR decrease is crucial for patient safety during fingolimod treatment.

Purpose of the Study:

  • To prospectively investigate the predictive capability of cardiac autonomic regulation for the magnitude of HR decrease post-fingolimod initiation.
  • To identify specific HRV parameters that correlate with fingolimod-induced bradycardia.

Main Methods:

  • Twenty-five RRMS patients underwent 24-h ambulatory ECG monitoring before fingolimod initiation (baseline) and on the day of first dose.
  • Heart rate variability (HRV) parameters, including pNN50, were assessed at baseline to evaluate cardiac autonomic regulation.
  • Maximal HR decrease (ΔHR) was measured in beats/min and percentage after the first fingolimod dose.

Main Results:

  • The average maximal HR decrease was -20±11 beats/min (-23±12%).
  • Baseline pNN50 showed a significant negative correlation with the percentage of HR decrease (r=-0.657, p<0.001).
  • A baseline pNN50 ≥10% predicted a ≥20% HR decrease with 76% accuracy (83% positive, 69% negative predictive values).

Conclusions:

  • Cardiac autonomic regulation, specifically a baseline pNN50 >10%, can effectively predict the magnitude of heart rate decrease following the first dose of fingolimod.
  • This predictive marker can inform clinical vigilance and management strategies for patients initiating fingolimod therapy.