Chhabra Arpit M, Choi J Isabelle, Hasan Shaakir, Press Robert H, Simone Charles B
New York Proton Center, New York, NY, USA.
Int J Part Ther. 2020 Spring;6(4):38-44. doi: 10.14338/IJPT-20-00022.1. Epub 2020 May 20.
It has been well documented from the early days of the 2019 novel coronavirus (COVID-19) pandemic that patients with a diagnosis of cancer are not only at higher risks of contracting a COVID-19 infection but also at higher risks of suffering severe, and possibly fatal, outcomes from the infection. Given that the United States has the greatest number of positive coronavirus cases, it is likely that many, if not all, radiation oncology clinics will be faced with the challenge of safely balancing a patient's risk of contracting COVID-19, while under active radiation treatment, against their risk of cancer progression if treatment is delayed. To address this challenge, the New York Proton Center established an internal algorithm that considers treatment-related, tumor-related, and patient-related characteristics. Despite having suffered staff shortages due to illness, this algorithm has allowed the center to maintain patient treatment volumes while keeping the rate of COVID-19 infection low.
自2019年新型冠状病毒(COVID-19)大流行初期以来,有充分记录表明,确诊患有癌症的患者不仅感染COVID-19的风险更高,而且因感染而出现严重甚至可能致命后果的风险也更高。鉴于美国的冠状病毒阳性病例数量最多,很可能许多(如果不是全部)放射肿瘤诊所将面临一项挑战,即在患者接受积极放射治疗期间,要在其感染COVID-19的风险与治疗延迟时癌症进展的风险之间安全地取得平衡。为应对这一挑战,纽约质子中心制定了一种内部算法,该算法会考虑与治疗、肿瘤和患者相关的特征。尽管因疾病导致人员短缺,但该算法使中心在保持COVID-19感染率较低的同时,维持了患者的治疗量。