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Related Concept Videos

ECG Interpretation of Arrhythmias I: Sinus Arrhythmias01:16

ECG Interpretation of Arrhythmias I: Sinus Arrhythmias

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Arrhythmias are disturbances in the heart's rhythm that lead to abnormal heartbeats. These irregularities can originate from different parts of the heart and are classified based on their origin and nature.
Types of Arrhythmias
Sinus Node Arrhythmias
Sinus Bradycardia: Originating from the sinoatrial (SA) node, sinus bradycardia involves slower impulses, resulting in a heart rate of less than 60 beats per minute (bpm). Causes include sleep, vagal stimulation, beta-blockers, hypothyroidism,...
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ECG Interpretation of Arrhythmias II: Atrial, Junctional and Ventricular Arrhythmias01:25

ECG Interpretation of Arrhythmias II: Atrial, Junctional and Ventricular Arrhythmias

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Arrhythmia is a condition characterized by an irregular heart rhythm, with ECG changes that differ based on its origin and nature. The types of arrhythmias discussed below include atrial, junctional, and ventricular arrhythmias.Atrial ArrhythmiasPremature Atrial Complexes (PACs): PACs are early atrial beats caused by stress, caffeine, alcohol, electrolyte imbalances, hypoxia, hyperthyroidism, or certain medications (e.g., bronchodilators and decongestants). The ECG shows early P waves with an...
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Review and Preview01:10

Review and Preview

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In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
Percentiles are a type of fractile that partition data into...
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Review and Preview01:13

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Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
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Mechanism of Cardiac Arrhythmias01:28

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Arrhythmias are irregular heart rhythms occurring when the heart's electrical impulses become abnormal. These disturbances can lead to various symptoms, depending on their severity and the underlying cause. Some common factors contributing to arrhythmias include hypoxia, ischemia, electrolyte imbalances, excessive catecholamine exposure, drug toxicity, and muscle overstretching. Arrhythmias can be classified into two main types based on the rate and site of origin of abnormal heart rhythms.
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Increasing Function01:18

Increasing Function

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An increasing function exhibits a rise in output values as input values increase. This behavior is depicted graphically as a curve or line that slopes upward from left to right. Such a function satisfies the condition that if x1 < x2, then f(x1) < f(x2), indicating that the function values grow with increasing inputs. This concept is fundamental in understanding growth trends across various domains, such as population dynamics, financial investments, or resource consumption.The...
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Increased Arrhythmia Risk in Long COVID: A Systematic Review and Meta-Analysis.

Amir Reza Boskabadi1, Hoorak Poorzand2, Ali Vaezi3

  • 1Faculty of Medicine Mashhad University of Medical Science Mashhad Iran.

Journal of Arrhythmia
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Summary
This summary is machine-generated.

Long COVID increases the risk of cardiac arrhythmias, including atrial fibrillation and ventricular arrhythmias, even in previously asymptomatic individuals. This long-term cardiovascular risk highlights the importance of monitoring heart health after SARS-CoV-2 infection.

Keywords:
COVID‐19Long COVIDarrhythmiaspost‐acute COVID‐19 syndromesystematic review

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Area of Science:

  • Cardiology
  • Infectious Diseases
  • Public Health

Background:

  • COVID-19 (Coronavirus Disease 2019) can lead to persistent symptoms known as long COVID.
  • Cardiovascular complications are a significant concern in long COVID, affecting even asymptomatic patients.
  • The long-term cardiac impact of SARS-CoV-2 (Severe Acute Respiratory Syndrome Coronavirus 2) infection requires further investigation.

Purpose of the Study:

  • To determine the long-term risk of developing cardiac arrhythmias following SARS-CoV-2 infection.
  • To analyze the association between COVID-19 recovery and subsequent cardiac arrhythmia development.

Main Methods:

  • A systematic literature search was conducted across major scientific databases (Scopus, PubMed, Science Direct, Web of Science).
  • Cohort studies comparing individuals recovered from COVID-19 (≥30 days) with a healthy control group were included.
  • Meta-analysis using random-effect models estimated Hazard Ratios (HR) and 95% confidence intervals (CI) for arrhythmia risk.

Main Results:

  • Fourteen studies met the inclusion criteria for the meta-analysis.
  • A significantly higher overall risk of cardiac arrhythmias was observed in patients with long COVID (HR: 1.74, 95% CI [1.39, 2.10]).
  • Specific arrhythmias, including atrial fibrillation, sinus tachycardia, sinus bradycardia, and ventricular arrhythmias, showed increased risks. Higher initial infection severity correlated with greater arrhythmia risk.

Conclusions:

  • Long-term cardiac arrhythmia risk is elevated following COVID-19 infection.
  • The findings underscore the persistent cardiovascular sequelae of SARS-CoV-2 infection.
  • Further research and clinical monitoring are warranted for post-COVID-19 cardiovascular health.