Effect of machine learning-guided haemodynamic optimization on postoperative free flap perfusion in reconstructive maxillofacial surgery: A study protocol.
Research article published in British journal of clinical pharmacology (2023)
Abstract
AIMS: Intraoperative hypotension and liberal fluid haemodynamic therapy are associated with postoperative medical and surgical complications in maxillofacial free flap surgery. The novel haemodynamic parameter hypotension prediction index (HPI) has shown good performance in predicting hypotension by analysing arterial pressure waveform in various types of surgery. HPI-based haemodynamic protocols were able to reduce the duration and depth of hypotension. We will try to determine whether haemodynamic therapy based on HPI can improve postoperative flap perfusion and tissue oxygenation by improving intraoperative mean arterial pressure and reducing fluid infusion. METHODS: We present here a study protocol for a single centre, randomized, controlled trial (n = 42) in maxillofacial patients undergoing free flap surgery. Patients will be randomized into an intervention or a control group. In the intervention, group haemodynamic optimization will be guided by machine learning algorithm and functional haemodynamic parameters presented by the HemoSphere platform (Edwards Lifesciences, Irvine, CA, USA), most importantly, HPI. Tissue oxygen saturation of the free flap will be monitored noninvasively by near-infrared spectroscopy during the first 24 h postoperatively. The primary outcome will be the average value of tissue oxygen saturation in the first 24 h postoperatively.
Abstract sourced from PubMed (NCBI) for the cited record. See the original publication for the authoritative version.
Resumen
Intraoperative hypotension and liberal fluid haemodynamic therapy are associated with postoperative medical and surgical complications in maxillofacial free flap surgery. The novel haemodynamic parameter hypotension prediction index (HPI) has shown good performance in predicting hypotension by...
Por qué esto importa para la hirudoterapia
Este artículo presenta un protocolo de estudio para un ensayo controlado aleatorizado unicéntrico (n=42) que evalúa si la optimización hemodinámica guiada por aprendizaje automático mediante el índice de predicción de hipotensión puede mejorar la perfusión y la oxigenación tisular del colgajo libre posoperatorio en cirugía maxilofacial. El ensayo utilizará la plataforma HemoSphere para guiar el tratamiento hemodinámico intraoperatorio, con monitorización de la saturación tisular de oxígeno mediante espectroscopia de infrarrojo cercano durante las primeras 24 horas posoperatorias. El resumen no contiene ninguna mención de sanguijuelas, hirudoterapia, congestión venosa ni terapias derivadas de la sanguijuela. No existe una conexión defendible con el ámbito de ASH, ya que el estudio evalúa exclusivamente tecnología de inteligencia artificial y monitorización hemodinámica funcional.
Citación
Effect of machine learning-guided haemodynamic optimization on postoperative free flap perfusion in reconstructive maxillofacial surgery: A study protocol.
Pražetina et al. · British journal of clinical pharmacology, 2023
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Añadido a la biblioteca ASH: May 28, 2026 · Última actualización del sitio: 18 de junio de 2026