Reactivation of COVID-19 in a neurosurgical patient with early neuropsychiatric presentation. Does seroconversion mean immunity?

BACKGROUND: In the aftermath of COVID-19 outbreak, there is a strong need to find strategies to monitor SARSCoV-2 transmission. While the application of screening techniques plays a major role to this end, there is evidence challenging the real significance of seroconversion. We reported a case of COVID-19 reactivation associated with a neurosurgical operation with early neuropsychiatric involvement presumably promoted by olfactory and gustatory impairment in the first infection. CASE DESCRIPTIO: A 57-year-old man was referred for a 2-month history of progressive development of imbalance, dizziness, and vomiting. Magnetic resonance imaging showed two bilateral hemispheric cerebellar lesions. In line with our triage protocol, the patient underwent a nasopharyngeal swab for RNA of SARS-CoV-2 detection, which resulted positive. Of note, the patient had reported in the previous month hyposmia and hypogeusia. After a period of 14 days, three new swabs were performed with negative results, leading the way to surgery. In the early post-operative period, the patient manifested acute onset of psychotic symptoms with hyperactive delirium, followed by fever and acute respiratory failure. A chest computed tomography revealed a specific pattern of ground-glass opacities in the lower lobes bilaterally, suggesting a viral pneumonia. Serological tests demonstrated the seroconversion and a new nasopharyngeal swab confirmed SARS-CoV-2 infection. CONCLUSION: Our report highlights the importance of comprehensive screening assessments in sensitive cases highly susceptible to COVID-19 recurrence.

A simplified math approach to predict ICU beds and mortality rate for hospital emergency planning under Covid-19 pandemic.

The different stages of Covid-19 pandemic can be described by two key-variables: ICU patients and deaths in hospitals. We propose simple models that can be used by medical doctors and decision makers to predict the trends on both short-term and long-term horizons. Daily updates of the models with real data allow forecasting some key indicators for decision-making (an Excel file in the Supplemental material allows computing them). These are beds allocation, residence time, doubling time, rate of renewal, maximum daily rate of change (positive/negative), halfway points, maximum plateaus, asymptotic conditions, and dates and time intervals when some key thresholds are overtaken. Doubling time of ICU beds for Covid-19 emergency can be as low as 2-3 days at the outbreak of the pandemic. The models allow identifying the possible departure of the phenomenon from the predicted trend and thus can play the role of early warning systems and describe further outbreaks.