Critical Care in Placenta Accreta Spectrum Disorders-A Call to Action.

American journal of perinatology(2023)

引用 0|浏览7
暂无评分
摘要
The rising in placenta accreta spectrum (PAS) incidence, highlights the need for critical care allotment for these patients. Due to risk for hemorrhage and possible hemorrhagic shock requiring blood product transfusion, hemodynamic instability and risk of end-organ damage, having an intensive care unit (ICU) with surgical expertise (surgical ICU or equivalent based on institutional resources) is highly recommended. Intensive care units physicians and nurses should be familiarized with intraoperative anesthetic and surgical techniques as well as obstetrics physiologic changes to provide postpartum management of PAS. Validated tools such of bedside point of care ultrasound and viscoelastic tests such as thromboelastogram/rotational thromboelastometry (TEG/ROTEM) are clinically useful in the assessment of hemodynamic status (shock diagnosis, assessment of both fluid responsiveness and tolerance) and transfusion guidance (in patients requiring massive transfusion as opposed to tranditional hemostatic resuscitation) respectively. The future of PAS management lies in the collaborative and multidisciplinary environment. We recommend that women with high suspicion or a confirmed PAS should have a preoperative plan in place and be managed in a tertiary center who is experienced in managing surgically complex cases. KEY POINTS: · The rising in placenta accreta spectrum incidence highlights the need for critical care expertise.. · Emerging tools such as point-of-care ultrasound and thromboelastography/rotational thromboelastometry represent new avenues for real time optimization of hemodynamic and hematological care of patients with PAS.. · Patients with PAS should be referred to a tertiary center having an intensive care unit (ICU) with surgical expertise (or equivalent based on institutional resources)..
更多
查看译文
关键词
Placenta accreta spectrum, intensvie care unit, point of care ultrasound, TEG, ROTEM
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要