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

Cindy Cecilia1, Djohan Ardiansyah1

  • 1Department of Neurology, Faculty of Medicine-Universitas Airlangga / Dr. Soetomo General-Hospital, Surabaya, Indonesia.

Insights

This study proposes a modified algorithm for glioma patients during the COVID-19 pandemic, prioritizing telemedicine and careful treatment selection to reduce exposure risks and improve outcomes.

Area of Science:

  • Neuro-oncology
  • Infectious Diseases
  • Healthcare Management

Background:

  • The COVID-19 pandemic significantly impacts healthcare systems, posing risks to patients with comorbidities like glioma.
  • Glioma patients, often elderly or on immunosuppressive therapy, are at higher risk for severe COVID-19.
  • Developing adaptive strategies for glioma care during pandemics is crucial.

Purpose of the Study:

  • To outline a modified algorithm for managing glioma patients amidst the COVID-19 pandemic.
  • To minimize healthcare-associated exposure for glioma patients while ensuring timely treatment.
  • To adapt patient communication, treatment selection, and care delivery models.

Main Methods:

  • Developing a telemedicine-based communication strategy for patient-provider interactions.
  • Establishing criteria for selecting patients requiring inpatient care versus outpatient management.
  • Tailoring surgical, radiotherapy (RT), and chemotherapy approaches based on individual patient factors and disease status.

Main Results:

  • Telemedicine is recommended for most patient-doctor communications to reduce exposure.
  • Treatment postponement is advised for asymptomatic or non-progressive glioma cases.
  • Symptomatic, high-grade glioma patients with progressive deficits will receive treatment under COVID-19 protocols, considering prognostic factors like KPS and MGMT status.

Conclusions:

  • A modified algorithm is essential for glioma patient management during the COVID-19 pandemic.
  • Individualized treatment plans and telemedicine integration are key to balancing cancer care and infection risk.
  • Careful patient selection and tailored therapeutic strategies enhance survival and quality of life while minimizing COVID-19 exposure.

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