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Aneurysm management involves either conservative medical therapy or surgical intervention, depending on the size and symptoms of the aneurysm. Conservative management is generally reserved for smaller, asymptomatic aneurysms, while larger or symptomatic aneurysms often necessitate surgical repair.Conservative Medical TherapyFor small, asymptomatic aneurysms, particularly abdominal aortic aneurysms (AAA) less than 5.5 centimeters in diameter, conservative medical therapy is recommended. This...
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Vigilant monitoring for aneurysm rupture is essential for patients undergoing aortic surgery.Preoperative Nursing ManagementContinuously monitor the patient for manifestations of aneurysm rupture, such as pallor, weakness, tachycardia, hypotension, abdominal, back, groin, or periumbilical pain, changes in consciousness, and a pulsating abdominal mass. Regularly assess the patient's peripheral pulses.Instruct the patient to consume a clear liquid diet the day before surgery and administer...
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Thoracic, aortic arch and abdominal aneurysms are significant vascular conditions that can present with various clinical manifestations and lead to serious complications. Understanding these manifestations and the appropriate diagnostic studies is essential for effective management and treatment.Thoracic Aortic AneurysmsThoracic aortic aneurysms often remain asymptomatic until they reach a size that impinges on adjacent structures. They typically cause deep, diffuse chest pain that radiates to...
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A nurse managing a patient with aortic regurgitation begins with a comprehensive assessment, including a review of the patient's medical history, family history, and lifestyle factors. During the cardiac examination, the nurse listens for heart sounds and checks for signs of valve abnormalities. The nurse also observes for symptoms such as dyspnea, orthopnea, and paroxysmal nocturnal dyspnea and assesses the patient's endurance and daily activity tolerance.Based on the findings, the nurse...
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Aortic regurgitation (AR) is when the aortic valve does not close or seal properly, leading to backward blood circulation from the aorta into the left ventricle during diastole. Common causes of AR include rheumatic heart disease, congenital valve defects, and aortic root dilation. Managing AR requires a multifaceted approach to alleviate symptoms, preserve left ventricular function, and address the underlying cause of the regurgitation. Patients with symptomatic AR or significant left...
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Artificial intelligence (AI) significantly improved abdominal aortic aneurysm (AAA) care by increasing patient evaluations and follow-up. This AI tool enhances AAA detection and monitoring, leading to better patient outcomes.

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Area of Science:

  • Medical Imaging Analysis
  • Artificial Intelligence in Healthcare
  • Vascular Surgery

Background:

  • Timely detection and monitoring of abdominal aortic aneurysms (AAAs) are crucial for preventing ruptures and reducing mortality.
  • Artificial intelligence (AI) algorithms offer automated detection of AAAs from imaging and radiology reports.
  • This study evaluates the impact of AI on AAA detection and care compared to the standard of care.

Purpose of the Study:

  • To examine the impact of AI utilization on AAA detection and patient care.
  • To compare AI-assisted AAA care with the historical standard of care.
  • To assess the influence of AI on the timeline of AAA evaluation and treatment.

Main Methods:

  • An AI-based AAA detection and measurement algorithm was deployed, providing notifications for AAAs ≥5 cm.
  • A workflow was established for timely referral and evaluation of patients with detected AAAs.
  • A pre-AI and post-AI group comparison was conducted, analyzing patient characteristics, evaluation timelines, and follow-up care.

Main Results:

  • A greater proportion of patients received initial AAA evaluation post-AI implementation (42% vs. 18%, P < 0.001).
  • The post-AI group showed a trend towards a shorter evaluation timeline (22 days vs. 83 days, P = 0.1).
  • Long-term follow-up care increased significantly in the post-AI group (45% vs. 30%, P = 0.004), with 99% having scheduled monitoring appointments.

Conclusions:

  • AI-assisted protocols significantly increase initial AAA evaluations and long-term follow-up.
  • AI implementation correlates with a decreased timeline to initial AAA evaluation.
  • AI shortens the time from detection to repair for AAAs measuring ≥5 cm.