Microscopic Transsphenoidal Approach for Macroadenoma in an Asymptomatic COVID-19 Patient: A Case Report

Autor: Peter Canoll, Dominique M. Higgins, Jeffrey N. Bruce, Mychael Delgardo, Pavan S. Upadhyayula, Yang Liu, Osama A. Dalahmah
Rok vydání: 2021
Předmět:
Zdroj: Special Virtual Symposium of the North American Skull Base Society.
ISSN: 2193-634X
DOI: 10.1055/s-0041-1725444
Popis: The novel coronavirus commonly referred to as COVID-19 became a global pandemic in the March of 2020 and createdunprecedented challenges for health care systems worldwide. Early case reports demonstrated a high risk of aerosolizationand infection of operating room staff during endoscopic endonasal approaches, highlighting the need for safe managementstrategies in patients with COVID-19 with acute pathology. During periods of epidemiologic infectious surges, elective caseshave often been suspended. However, patients presenting with urgent pathology, such as pituitary apoplexy or acute visualcompromise from sellar or parasellar lesions still require treatment regardless of infectious status. Here, we present a caseof an asymptomatic COVID-19 patient with progressive vision loss that underwent successful microscopic resection ofpituitary adenoma, without evidence of spread to the operating room staff. We hypothesize that during microscopicapproaches to the sella, there is relatively less forceful irrigation, and as a result, potentially less aerosolization. This maydecrease the risk of viral spread to the surgeons and the operating room staff. Additionally, we report that fluorescent insitu hybridization studies of tumor tissue for SARS-CoV-2 may not reliably be able to detect viral infections. In conclusion,for asymptomatic patients at high risk for COVID, microscopic transsphenoidal approaches may provide a safer alternative.These patients should undergo preoperative testing, and repeat testing should be considered if possible for negative results.Proper PPE should however still be utilized to maximize safety of the operating room staff.
Databáze: OpenAIRE