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Tag: Defibrillators

Social Factors Influence Pediatric Out-of-Hospital Cardiac Arrest Outcomes

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Decreasing trends in performance of bystander CPR, AED use, ROSC seen with minority status, poverty levels

Patch-Wearable Cardioverter-Defibrillator Safe and Effective

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Low rates of adverse cutaneous effects seen with successful, appropriate life-saving shocks

Lasting Benefits Seen for Cardiac Resynchronization Therapy With Defibrillator

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Benefits observed in patients with reduced ejection fraction, widened QRS complex, NYHA class II or III heart failure

ESC: Bystander Defibrillation Improves Out-of-Hospital Cardiac Arrest Survival

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Effect was significant even for EMS response times as short as two to four minutes

AHA: Other Defibrillation Strategies Studied for Refractory V-Fib

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Survival to hospital discharge higher with use of double sequential external defibrillation compared with standard defibrillation

Efficacy, Safety of Extravascular ICD Explored

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The extravascular implantable cardioverter-defibrillator system is premarket and has not yet been approved by the FDA

Optimized placement of automated external defibrillators (AEDs) could increase out-of-hospital cardiac arrest coverage over real AED placements

Optimized AED Placement Might Improve Cardiac Arrest Outcomes

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Better access to automated external defibrillators could up coverage for out-of-hospital cardiac arrest
Cardiovascular implantable electronic device complication rates vary considerably among hospitals

CIED Complication Rates Vary Considerably Among Hospitals

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Rates from 5.3 to 14.3 percent seen in hospitals that implanted at least 25 devices during study period
Cardiac resynchronization therapy with defibrillator implantation is associated with better outcomes than an implantable cardioverter-defibrillator for patients with nonspecific intraventricular conduction delay but not for those with right bundle branch block

Some Heart Failure Patients May Benefit From CRT Defibrillator

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Findings seen in patients with non-left bundle branch block eligible for cardiac resynchronization therapy
A neural network can accurately identify the manufacturer and model group of a cardiac rhythm device from a chest radiograph

AI Can Identify Model of Cardiac Rhythm Device From Chest X-Ray

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Neural network's performance significantly exceeds ability of cardiologists