Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
World Neurosurg. 2020 Aug;140:e373-e380. doi: 10.1016/j.wneu.2020.05.233. Epub 2020 May 29.
As of May 4, 2020, the coronavirus disease 2019 (COVID-19) pandemic has affected >3.5 million people and touched every inhabited continent. Accordingly, it has stressed health systems worldwide, leading to the cancellation of elective surgical cases and discussions regarding health care resource rationing. It is expected that rationing of surgical resources will continue even after the pandemic peak and may recur with future pandemics, creating a need for a means of triaging patients for emergent and elective spine surgery.
Using a modified Delphi technique, a cohort of 16 fellowship-trained spine surgeons from 10 academic medical centers constructed a scoring system for the triage and prioritization of emergent and elective spine surgeries. Three separate rounds of videoconferencing and written correspondence were used to reach a final scoring system. Sixteen test cases were used to optimize the scoring system so that it could categorize cases as requiring emergent, urgent, high-priority elective, or low-priority elective scheduling.
The devised scoring system included 8 independent components: neurologic status, underlying spine stability, presentation of a high-risk postoperative complication, patient medical comorbidities, expected hospital course, expected discharge disposition, facility resource limitations, and local disease burden. The resultant calculator was deployed as a freely available Web-based calculator (https://jhuspine3.shinyapps.io/SpineUrgencyCalculator/).
We present the first quantitative urgency scoring system for the triage and prioritizing of spine surgery cases in resource-limited settings. We believe that our scoring system, although not all encompassing, has potential value as a guide for triaging spine surgical cases during the COVID pandemic and post-COVID period.
截至 2020 年 5 月 4 日,2019 年冠状病毒病(COVID-19)大流行已影响超过 350 万人,并波及到每个有人居住的大洲。相应地,它使全球卫生系统承受压力,导致择期手术病例被取消,并就医疗资源配给进行讨论。预计即使在大流行高峰期过后,手术资源的配给仍将继续,并且可能会在未来的大流行中再次出现,这就需要一种方法来对紧急和择期脊柱手术的患者进行分类。
使用改良 Delphi 技术,由来自 10 家学术医疗中心的 16 名 fellowship 培训的脊柱外科医生组成的队列,为紧急和择期脊柱手术的分诊和优先级制定了评分系统。使用三轮视频会议和书面通信来达成最终的评分系统。使用 16 个测试病例来优化评分系统,以便将病例分类为需要紧急、紧急、高优先级择期或低优先级择期安排。
所设计的评分系统包括 8 个独立的组成部分:神经状态、潜在脊柱稳定性、出现高风险术后并发症、患者的合并症、预计住院过程、预计出院处置、设施资源限制和当地疾病负担。由此产生的计算器被部署为一个免费的基于网络的计算器(https://jhuspine3.shinyapps.io/SpineUrgencyCalculator/)。
我们提出了第一个用于资源有限环境下脊柱手术病例分诊和优先级排序的定量紧急评分系统。我们认为,尽管我们的评分系统并非包罗万象,但它在 COVID 大流行期间和 COVID 后时期作为脊柱手术病例分类的指南具有潜在价值。