Suppr超能文献

印度新冠疫情危机期间高患者流量放疗科的运行:我们机构的策略

Running of high patient volume radiation oncology department during COVID-19 crisis in India: our institutional strategy.

作者信息

Gupta Manoj, Ahuja Rachit, Gupta Sweety, Joseph Deepa, Pasricha Rajesh, Verma Swati, Pandey Laxman

机构信息

Department of Radiation Oncology, All India Institute of Medical Science, Rishikesh, India.

出版信息

Radiat Oncol J. 2020 Jun;38(2):93-98. doi: 10.3857/roj.2020.00199. Epub 2020 Jun 12.

Abstract

PURPOSE

Due to COVID 19 pandemic, the treatment of cancer patients has become a dilemma for every oncologist. Cancer patients are at an increased risk of immunosuppression and have a higher risk to acquire any infection. There are individual experiences from some centers regarding the management of cancer patients during such a crisis. So we have developed our institutional strategy to balance between COVID and cancer management.

MATERIALS AND METHODS

Radiation Oncology departmental meeting was held to prepare a consensus document on Radiotherapy schedules and department functioning during this pandemic.

RESULTS

Strategies were taken in form of following areas were steps need to be taken to decrease risk of infection, categorise treatment on the basis of priority, radiotherapy schedules modification, academic meetings and management of COVID positive patient/personnel in Radiation Oncology department.

CONCLUSION

We hope to strike the balance in overcoming both the battles and emerge as winners. Stringent long term follow up will be done for assessing the response or any unforeseen treatment related sequelae.

摘要

目的

由于新冠疫情,癌症患者的治疗已成为每位肿瘤学家面临的难题。癌症患者免疫抑制风险增加,感染任何疾病的风险也更高。一些中心有关于在此类危机期间管理癌症患者的个人经验。因此,我们制定了机构策略,以在新冠疫情管理和癌症管理之间取得平衡。

材料与方法

召开放射肿瘤学部门会议,以制定关于此次疫情期间放疗计划和部门运作的共识文件。

结果

采取的策略包括以下方面,即需要采取措施降低感染风险、根据优先级对治疗进行分类、调整放疗计划、学术会议以及放射肿瘤学部门新冠阳性患者/人员的管理。

结论

我们希望在打赢这两场战役中取得平衡并成为赢家。将进行严格的长期随访,以评估疗效或任何不可预见的治疗相关后遗症。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f208/7533409/ec9c54c73cb2/roj-2020-00199f1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验