Abstract
COVID-19 pandemics has spread at a fast rate worldwide, producing multiple collapses in the healthcare system worldwide. In such setting, the correct priorization of regular hospital beds and intensive care unit beds is mandatory in order to save more lives and optimize resource usage. Currently, some specific online calculators are available, and prognostic clinical scores like NEWS and SOFA have been repurposed to evaluate potential for disease progression in COVID-19 patients. Nonetheless, the predictive value of these tools has been low in practice. Nowadays, the knowledge about pathological markers is more advanced, and unlike when the aforementioned studies were published, it is now recognized that COVID-19 has at least three different symptomatic stages, each governed by distinctive pathophysiological traits. Thus, we think that a risk calculator that incorporates the aforementioned knowledge may have a strong predictive ability.
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