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Related Concept Videos

Pulse rhythm01:30

Pulse rhythm

770
Pulse rhythm refers to the pattern of pulsations within specific intervals, offering valuable insights into the regularity or irregularity of the heart's beats as observed through the pattern of pulsation within specific intervals. A regular pulse exhibits a consistent heart rate with uniform waveforms and pulsation force, variations of which can be classified as normal, weak, or bounding.
Conversely, an irregular pulse pattern is termed dysrhythmia, stemming from disruptions in cardiac...
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Heart Failure Drugs: Inhibitors of Renin-Angiotensin System01:26

Heart Failure Drugs: Inhibitors of Renin-Angiotensin System

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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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Pathophysiology of Heart Failure01:17

Pathophysiology of Heart Failure

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Heart failure (HF) is a progressive syndrome involving ventricles that leads to inadequate cardiac output. It can be classified based on location and output or ejection fraction. Ejection fraction (EF) is an essential measurement in the diagnosis and surveillance of HF. Reduced EF corresponds to systolic heart failure (HFrEF). However, HF with preserved ejection fraction (HFpEF) is becoming increasingly prevalent. Also known as diastolic HF, this form of HF is related to aging. The...
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Related Experiment Video

Updated: Jun 13, 2025

Benefits of Cardiac Resynchronization Therapy in an Asynchronous Heart Failure Model Induced by Left Bundle Branch Ablation and Rapid Pacing
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Re-Evaluating Recurrent Events in Heart Failure Trials: Patterns, Prognostic Implications, and Analytical

Audinga-Dea Hazewinkel1, John Gregson1, Stuart J Pocock1

  • 1Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, United Kingdom.

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|June 11, 2025
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Repeat hospitalizations (HFHs) in heart failure trials are not random. Risks increase after an event, challenging standard analyses and suggesting new methods are needed for better statistical power.

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Area of Science:

  • Cardiology
  • Clinical Trials
  • Biostatistics

Background:

  • Repeat hospitalizations for heart failure (HFHs) are frequently analyzed in clinical trials.
  • Current analyses often assume events occur randomly over time.
  • The statistical power of using repeat events is often considered beneficial.

Purpose of the Study:

  • To challenge the assumption of random event occurrence in heart failure trials.
  • To evaluate the impact of within-patient event clustering on statistical analysis.
  • To reassess the optimal methods for analyzing repeat events in heart failure.

Main Methods:

  • Utilized data from four heart failure trials involving sodium-glucose cotransporter 2 inhibitors.
  • Investigated within-patient time clustering of repeat hospitalizations and cardiovascular death.
  • Compared traditional models (Lin-Wei-Yang-Ying, negative binomial) with alternative methods (area under the curve, win ratio) and time-to-first event analyses.

Main Results:

  • Demonstrated significant within-patient time clustering of repeat events, with elevated risks post-hospitalization.
  • Found that standard models do not adequately capture this clustering.
  • Alternative methods showed some benefit, but time-to-first event analyses provided the strongest evidence.

Conclusions:

  • Commonly used repeat event analyses in heart failure trials may not be optimal.
  • The non-random, clustered nature of repeat events requires re-evaluation of analytical approaches.
  • Rethinking the utilization of repeat events data is crucial for accurate interpretation in heart failure research.