Publications by authors named "Sam Zeraatian Nejad"

Background: Primary cardiac tumors (PCT), such as myxoma, are rare and predominantly benign. Angiofibroma tumors are an extremely rare subtype of PCT, reported in less than ten cases. In this study, we presented a mixed tumor of myxoma and angiofibroma for the first time in the human heart.

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Introduction: Congenital heart disease (CHD) represents the most common group of congenital anomalies, constitutes a significant contributor to the burden of non-communicable diseases, highlighting the critical need for improved risk assessment tools. Artificial intelligence (AI) holds promise in enhancing outcome predictions for congenital cardiac surgery. This study aims to systematically review the utilization of AI in predicting post-operative outcomes in this population.

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Article Synopsis
  • Intraoperative Hypotension (IOH) is a significant risk during surgeries, and using Artificial Intelligence (AI) to predict IOH could improve patient safety and outcomes.
  • A systematic review and meta-analysis were conducted, analyzing 43 studies that evaluated AI models, especially focusing on the Hypotension Prediction Index (HPI) and other AI methods across various surgical types.
  • Results indicated that HPI had a strong predictive performance (AUROC of 0.89), significantly reducing the duration of hypotension, while non-HPI models also showed promise with an AUROC of 0.79.
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The global organ donation crisis continues to escalate despite advancements in medical procedures. Uncont-rolled donation after circulatory death provides an alternative method to increase the donor pool, especially for kidney transplants. This case study from Iran offers insights into the complex, yet essential, facets of organ procurement under uncontrolled donation after circulatory death protocols.

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Objectives: Heart transplant is the most effective treatment in patients with advanced heart failure who are refractory to medical treatment. The brain death interval and type of inotrope We assessed the effects of these parameters on heart transplant outcomes.

Materials And Methods: In this follow-up study, we followed heart transplant recipients for 1 year to study patient survival, ejection fraction, adverse events, and organ rejection.

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Article Synopsis
  • Heart transplant is the preferred option for patients with severe heart failure who don't respond to other treatments, but there is a shortage of suitable donors.
  • The article discusses a 43-year-old woman who urgently needed a heart transplant and received a heart from a 50-year-old donor who had a history of coronary artery disease but was otherwise suitable.
  • Follow-up after one year showed no complications, suggesting that using "marginal hearts" (hearts from less-than-ideal donors) can be viable, although more research is needed to explore these findings further.
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Synopsis of recent research by authors named "Sam Zeraatian Nejad"

  • - Sam Zeraatian Nejad's recent research predominantly focuses on the intersection of artificial intelligence and surgical outcomes, specifically in the prediction and management of intraoperative hypotension, highlighting the potential for AI to enhance patient monitoring during surgical procedures.
  • - His investigations into organ donation practices, particularly uncontrolled donation after circulatory death, reveal critical challenges and insights related to expanding the kidney donor pool in Iran, contributing to ongoing discussions in organ procurement ethics and logistics.
  • - Additionally, his work evaluates clinical factors affecting heart transplant outcomes, including the time from brain death and inotropic support, thereby providing valuable data on patient survival and organ rejection rates, which can inform future transplant protocols and practices.