Glioma diagnosis and comprehensive management during COVID-19 pandemic: A proposed algorithm.

IF 0.8 Q4 CLINICAL NEUROLOGY
Journal of Neurosciences in Rural Practice Pub Date : 2023-07-01 Epub Date: 2023-06-16 DOI:10.25259/JNRP_45_2022
Cindy Cecilia, Djohan Ardiansyah
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引用次数: 0

Abstract

The coronavirus disease 2019 (COVID-19) has significantly changed the health-care system. COVID-19 patients with comorbidities are more likely to have severe disease, often leading to death. As one primary concern in this pandemic era, glioma patients have an incidence of 30%. It has a high mortality rate. Glioma has multiple comorbidities, at risk of contracting COVID-19, such as elderly, taking high-dose steroid therapy with adjuvant radiotherapy (RT) and chemotherapy. An algorithm for patient-doctor communication, inpatient-outpatient selection, and treatment goals in glioma patients should be carefully made according to local preparation for COVID-19. Surgery, RT, and chemotherapy should be tailored individually to increase survival rate, quality of life, and reduce the risk of COVID-19 exposure. All communication between the health-care provider and patient will be using telemedicine. The patient who requires to visit the inpatient ward will be carefully selected. Asymptomatic glioma or with no progressivity of the disease should have the treatment postponed. Symptomatic high-grade glioma patients with progressive neurological deficits and increased intracranial pressure will be treated with COVID-19 protocols. Surgery, RT, and chemotherapy, especially Temozolomide, will be given after evaluating the patient's age, Karnofsky Performance Scale (KPS) Score, and molecular finding of O6-methylguanine DNA methyltransferase (MGMT), isocitrate dehydrogenase, and gene 1p/9q. Therefore, it is necessary to have a modified algorithm for glioma patients during this pandemic.

Key messages: A strategy to minimize hospital contact for glioma patients in a pandemic crisis while not delaying their diagnostics and treatments.

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新冠肺炎大流行期间的胶质瘤诊断和综合管理:一种拟议的算法。
2019冠状病毒病(新冠肺炎)显著改变了医疗保健系统。患有合并症的新冠肺炎患者更有可能患上严重疾病,通常会导致死亡。作为这个流行病时代的主要关注点之一,神经胶质瘤患者的发病率为30%。它的死亡率很高。胶质瘤有多种合并症,有感染新冠肺炎的风险,如老年人、接受高剂量类固醇治疗、辅助放疗(RT)和化疗。应根据新冠肺炎的本地准备情况,谨慎制定神经胶质瘤患者的患者与医生沟通、患者内外选择和治疗目标的算法。手术、RT和化疗应单独定制,以提高生存率和生活质量,并降低新冠肺炎暴露的风险。医疗保健提供者和患者之间的所有通信都将使用远程医疗。将仔细选择需要访问住院病房的患者。无症状的神经胶质瘤或没有进展性的疾病应推迟治疗。有症状的高级别神经胶质瘤患者伴有进行性神经功能缺损和颅内压升高,将接受新冠肺炎方案治疗。手术、RT和化疗,尤其是替莫唑胺,将在评估患者的年龄、Karnofsky性能量表(KPS)评分以及O6甲基鸟嘌呤DNA甲基转移酶(MGMT)、异柠檬酸脱氢酶和基因1p/9q的分子发现后进行。因此,在这场疫情期间,有必要为神经胶质瘤患者制定一种改进的算法。关键信息:在疫情危机中尽量减少神经胶质瘤患者与医院的接触,同时不延误他们的诊断和治疗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
2.10
自引率
0.00%
发文量
129
审稿时长
22 weeks
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