Introduction:
Preoperative cardiology consultations are becoming increasingly essential in the surgical process, particularly for patients with known cardiovascular risks. This study explores the incidence, characteristics, and implications of these consultations, shedding light on their impact in optimizing perioperative care. For further groundbreaking research in this field, visit https://www.cardiologymedjournal.com/jccm.
Main Content Sections:
- Study Overview:
This retrospective study analyzed 7,756 patients who attended pre-anesthesia consultations at the Mohammed V Military Hospital. Of these, 122 patients were referred to cardiology consultations. The study provides key insights into the factors leading to such referrals and the outcomes that followed. - Key Findings:
- 1.57% of patients required cardiology consultations.
- Most referrals came from specialties like abdominal (30.33%), orthopedic (26.23%), and urological surgery (19.67%).
- Hypertension, dyslipidemia, and diabetes were prevalent risk factors.
- The most common reason for referral was ECG abnormalities (41%).
- Cardiology Consultations & Interventions:
Patients underwent diagnostic tests such as ECGs, echocardiography, and stress tests. Based on these consultations, medication adjustments and the initiation of antiplatelet therapy were common recommendations.
Integration of External Medical Sources:
The American Heart Association (AHA) emphasizes the importance of preoperative cardiac risk assessment in optimizing surgical outcomes, particularly in patients with comorbidities like hypertension and diabetes.
Further Reading and Resources
For a detailed analysis, refer to the study’s main journal article at https://doi.org/10.29328/journal.jccm.1001160. Additionally, explore more related studies on https://www.cardiologymedjournal.com/jccm.
Call-to-Action (CTA) for Engagement:
Explore more studies at https://www.cardiologymedjournal.com/jccm and join the conversation by sharing your thoughts in the comments below!
Disclaimer: This content is generated using AI assistance and should be reviewed for accuracy and compliance before considering this article and its contents as a reference. Any mishaps or grievances raised due to the reusing of this material will not be handled by the author of this article.


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