Sanders Robert D, Watne Leiv, Roberson Shawniqua Williams, Kimchi Eyal Y, Slooter Arjen J C, Cunningham Colm, Nourski Kirill V, Palanca Ben J A, Lennertz Richard, Banks Matthew I
University of Sydney & Royal Prince Alfred Hospital, Camperdown, NSW, Australia.
Oslo Delirium Research Group, Akershus University Hospital, & Institute of Clinical Medicine, Campus Ahus, University of Oslo, Oslo, Norway.
BJA Open. 2024 Jul 30;11:100304. doi: 10.1016/j.bjao.2024.100304. eCollection 2024 Sep.
In an era of 'big data', we propose that a collaborative network approach will drive a better understanding of the mechanisms of delirium, and more rapid development of therapies. We have formed the International Delirium Pathophysiology & Electrophysiology Network for Data sharing (iDEPEND) group with a key aim to 'facilitate the study of delirium pathogenesis with electrophysiology, imaging, and biomarkers including data acquisition, analysis, and interpretation'. Our initial focus is on studies of electrophysiology as we anticipate this methodology has great potential to enhance our understanding of delirium. Our article describes this principle and is used to highlight the endeavour to the wider community as we establish key stakeholders and partnerships.
在“大数据”时代，我们提出采用协作网络方法将有助于更好地理解谵妄的机制，并推动治疗方法的更快发展。我们已经组建了国际谵妄病理生理学与电生理学数据共享网络（iDEPEND）小组，其主要目标是“促进利用电生理学、影像学和生物标志物对谵妄发病机制进行研究，包括数据采集、分析和解读”。我们最初的重点是电生理学研究，因为我们预计这种方法在增强我们对谵妄的理解方面具有巨大潜力。我们的文章阐述了这一原则，并用于向更广泛的群体介绍这一努力，因为我们正在建立关键利益相关者和合作伙伴关系。
